Artificial Intelligence in Medicine Market By Component (Hardware, Software, Service); By Application (Robot Assisted Surgery, Virtual Nursing Assistants, Administrative Workflow Assistance, Fraud Detection, Connected Machines, Clinical Trial, Preliminary Diagnosis, Others (Dosage Error Reduction, Cyber security, Etc.)) By End User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, Payer, Other) By Enterprise Size (Querying Method, Natural Language Processing, Context Aware Processing, Speech Recognition, Decision Management, Others (Biometrics, AI Modeling, Etc.)); By Region (U.S., Canada, Mexico, Rest of North America, France, The UK, Spain, Germany, Italy, Nordic Countries, Benelux Union, Rest of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia, Rest of Asia Pacific, Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa, Brazil, Argentina, Rest of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2019 – 2027
Market Overview/Industry Trends
Artificial intelligence in medicine is generally referred as the use of artificial intelligence technologies or the automated processes in the diagnosis of symptoms and treatment of patients who require medical aid. Apart from diagnosis and treatment, artificial intelligence in medicine can be applied in the automation of various other processes such as, gathering data from patient meetings and tests, processing and analyzing the results, using multiple sources of data to come to an accurate diagnosis, assisting in determination of an appropriate treatment method, and patient monitoring amongst others. For instance, MGH Laboratory of Computer Science offers DXplain which is a decision support system that helps in explaining clinical indicators of diseases. Similarly OpenClinical offers GermWatcher, which is a system that scans microbiology culture data from a hospital's laboratory system, identifies those cultures which represent nosocomial infections and reports them to the U.S. National Centers for Disease Control and Prevention (CDC). Increasing efficiency in medical diagnosis due to the integration of artificial intelligence is majorly driving the artificial intelligence in medicine market. Artificial intelligence technologies offer doctors with tools that help them to better diagnose and make effective treatment plans for patients. Incomplete medical histories and large caseloads can lead to deadly human errors by both doctors and his assistants. Therefore, doctors are using AI-enhanced diagnostic systems to scan for harmful diseases in the human body at a faster rate. For instance, in 2017, Harvard University’s teaching hospital, Beth Israel Deaconess Medical Center, started using artificial intelligence which helps in diagnosing deadly blood diseases at a very early stage. This efficiency in detecting diseases at an early stage is rising the adoption of artificial intelligence in the healthcare sector, thereby, contributing to the overall growth of the artificial intelligence in medicine market.
In terms of revenue, the global artificial intelligence in medicine market was valued at US$ 1,798.22 Mn in 2018 and is growing at a CAGR of 49.4% over the forecast period. The study analyzes the market in terms of revenue across all the major regions, which is further bifurcated into countries.
Global Artificial Intelligence in Medicine Market Revenue & Forecast, (US$ Million), 2015 – 2027
Component Outlook:
The software component accounted for the major share in 2018 for artificial intelligence in medicine market. This growth is attributed to the increasing adoption of artificial intelligence enabled cognitive solutions, which are specifically designed to understand and analyze healthcare big data sets. These software solutions are capable of understanding different variety of data such as lab values in both structured and unstructured database. For instance, OSPLabs offers healthcare AI software solutions speeding up healthcare innovations coupled with artificial intelligence, agile development processes, and design-led engineering. These solutions help in studying data patterns to prepare comprehensive care plans and make predictions on health risk of individual patients, predictions of disease advancements, the mobile effects of various interventions on specific patients, and forecasts of the financial impacts of the disease burden. It also helps in real-time analytics of data sets to improve the quality of healthcare services, cost, and meet other healthcare requirements by automating the process of collecting and measuring vast amounts of healthcare data. This is leading to the adoption of artificial intelligence enabled healthcare software thereby contributing to the overall growth of the artificial intelligence in medicine market.
Application Outlook:
The robot assisted surgery segment accounted for the maximum share in 2018 for artificial intelligence in medicine market. This growth is attributed to the increasing adoption of robotic surgeries across developed nations such as United States, United Kingdom, Germany and France amongst others. These surgeries enable doctors to perform different types of complex procedures with greater efficiency, flexibility and control over conventional techniques. The robotic surgical systems that are generally used comprises of a camera arm and mechanical arm with surgical instruments pre-attached to them. The doctors control the arms while seated at a computer console near the operating table. The console further gives the surgeon a high-definition, enlarged, view of the surgical area. For instance, Intuitive Surgical offers Da Vinci which is a robotic surgical system that has robotic arms, and enables doctors to make precise movement and have magnified vision of the surgical area. This rising adoption of surgical robots is further influencing the growth of the artificial intelligence in medicine market.
Technology Outlook:
Natural language processing accounted for the maximum share in 2018 for artificial intelligence in medicine market. This growth is attributed to the increasing use of speech recognition technology across the healthcare industry. Speech recognition helps doctors to transcribe notes for EHR data entry or data record. Front-end speech recognition reduces the task of physicians to dictate notes, while back-end technology works to detect and correct any errors in the transcription before passing it on for further processes. Similarly, natural language processing enabled computer-assisted coding helps in extracting information about procedures and therapies to capture every code and maximize claims in the treatment process. This increasing efficiency in the healthcare sector due to the implementation of natural language processing technology is influencing the growth in artificial intelligence in medicine market.
Region Outlook:
North America accounted for the maximum share in 2018 for the artificial intelligence in medical market. The growth is attributed to the presence of technical giants such as Google LLC, General Vision, Inc, IBM Corp, and Welltok amongst others. These companies are focused on constant innovations to automate processes in a hospital and provide quality care with the implementation of latest technology in the surgical and operational processes. For instance, IBM Corp offers IBM iConnect Access which is a true zero download web viewer that helps to view clinical data in its native format and aggregate from multiple sources to a single source with diagnostic quality real-time collaboration capabilities. These solutions therefore are helping companies to increase the efficiency in providing preventive care to patients thereby rising the adoption of artificial intelligence in medicine market across the region.
Competitive landscape
The report provides both, qualitative and quantitative research of artificial intelligence in medicine market, as well as provides comprehensive insights and development methods adopted by the key contenders. The report also offers extensive research on the key players in this market and details on the competitiveness of these players. Key business strategies such as mergers and acquisitions (M&A), affiliations, collaborations, and contracts adopted by these major market participants are also recognized and analyzed in the report.
Some of the players operating in the artificial intelligence in medicine market are Bay Labs, Inc, CloudMedx Inc., Enclitic, General Electric, General Vision, Google LLC, IBM Corporation, iCarbonX, Koninklijke Philips, maxQ, Microsoft, Next IT Corp., Nvidia Corporation, Siemens Healthcare GmbH, and Welltok amongst others. The companies are focused on expanding their product portfolio and footprint globally. They are strategically focusing on attaining the same through mergers and acquisitions and further innovating products. For instance, Philips India Ltd in February 2018 announced the expansion of its Healthcare@home services to Chennai, with the launch of ICU@home. The new service will provide intensive care unit equipment and high-quality medical care at home for patients, and has been developed in consultation with doctors and hospitals. For each company, the report studies their global presence, competitors, service offerings and specification amongst others.
Global Artificial Intelligence in Medicine Market:
- By Component
- Hardware
- Software
- Service
- By Technology
- Querying Method
- Natural Language Processing
- Context Aware Processing
- Speech Recognition
- Decision Management
- Others (Biometrics, AI Modeling, Etc.)
- By Application
- Robot Assisted Surgery
- Virtual Nursing Assistants
- Administrative Workflow Assistance
- Fraud Detection
- Connected Machines
- Clinical Trial
- Preliminary Diagnosis
- Others (Dosage Error Reduction, Cybersecurity, Etc.)
- By End Users
- Healthcare Provider
- Pharmaceutical & Biotechnology Company
- Patient
- Payer
- By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- France
- The UK
- Spain
- Germany
- Italy
- Nordic Countries
- Denmark
- Finland
- Iceland
- Sweden
- Norway
- Benelux Union
- Belgium
- The Netherlands
- Luxembourg
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Southeast Asia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Rest of Southeast Asia
- Rest of Asia Pacific
- Middle East and Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Argentina
- Rest of Latin America
- North America
Table of Contents
1. Market Scope
1.1. Market
Segmentation
1.2. Years
Considered
1.2.1. Historic
Years: 2013 - 2017
1.2.2. Base
Year: 2018
1.2.3. Forecast
Years: 2019 – 2027
2. Key Target Audiences
3. Research Methodology
3.1. Primary
Research
3.1.1. Research
Questionnaire
3.1.2. Global
Percentage Breakdown
3.1.3. Primary
Interviews: Key Opinion Leaders (KOLs)
3.2. Secondary
Research
3.2.1. Paid
Databases
3.2.2. Secondary
Sources
3.3. Market
Size Estimates
3.3.1. Top-Down
Approach
3.3.2. Bottom-Up
Approach
3.4. Data
Triangulation Methodology
3.5. Research
Assumptions
4. Recommendations and Insights from AMI’s Perspective**
5. Holistic Overview of Artificial Intelligence in Medicine
Market
6. Market Synopsis:
Artificial Intelligence in Medicine Market
7. Artificial Intelligence in Medicine Market Analysis:
Qualitative Perspective
7.1. Introduction
7.1.1. Product
Definition
7.1.2. Industry
Development
7.2. Market
Dynamics
7.2.1. Drivers
7.2.2. Restraints
7.2.3. Opportunities
7.3. Trends in
Artificial Intelligence in Medicine Market
7.4. Market
Determinants Radar Chart
7.5. Macro-Economic
and Micro-Economic Indicators: Artificial Intelligence in Medicine Market
7.6. Porter’s
Five Force Analysis
8. Global Artificial Intelligence in Medicine Market Analysis
and Forecasts, 2019 – 2027
8.1. Overview
8.1.1. Global
Artificial Intelligence in Medicine Market Revenue (US$ Mn)
8.2. Global
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By Component
8.2.1. Hardware
8.2.1.1. Definition
8.2.1.2. Market
Estimation and Penetration, 2013 – 2018
8.2.1.3. Market
Forecast, 2019 – 2027
8.2.1.4. Compound
Annual Growth Rate (CAGR)
8.2.1.5. Regional
Bifurcation
8.2.1.5.1. North America
8.2.1.5.1.1. Market
Estimation, 2013 – 2018
8.2.1.5.1.2. Market
Forecast, 2019 – 2027
8.2.1.5.2. Europe
8.2.1.5.2.1. Market
Estimation, 2013 – 2018
8.2.1.5.2.2. Market
Forecast, 2019 – 2027
8.2.1.5.3. Asia Pacific
8.2.1.5.3.1. Market
Estimation, 2013 – 2018
8.2.1.5.3.2. Market
Forecast, 2019 – 2027
8.2.1.5.4. Middle East and Africa
8.2.1.5.4.1. Market
Estimation, 2013 – 2018
8.2.1.5.4.2. Market
Forecast, 2019 – 2027
8.2.1.5.5. Latin America
8.2.1.5.5.1. Market
Estimation, 2013 – 2018
8.2.1.5.5.2. Market
Forecast, 2019 – 2027
8.2.2. Software
8.2.2.1. Definition
8.2.2.2. Market
Estimation and Penetration, 2013 – 2018
8.2.2.3. Market
Forecast, 2019 – 2027
8.2.2.4. Compound
Annual Growth Rate (CAGR)
8.2.2.5. Regional
Bifurcation
8.2.2.5.1. North America
8.2.2.5.1.1. Market
Estimation, 2013 – 2018
8.2.2.5.1.2. Market
Forecast, 2019 – 2027
8.2.2.5.2. Europe
8.2.2.5.2.1. Market
Estimation, 2013 – 2018
8.2.2.5.2.2. Market
Forecast, 2019 – 2027
8.2.2.5.3. Asia Pacific
8.2.2.5.3.1. Market
Estimation, 2013 – 2018
8.2.2.5.3.2. Market
Forecast, 2019 – 2027
8.2.2.5.4. Middle East and Africa
8.2.2.5.4.1. Market
Estimation, 2013 – 2018
8.2.2.5.4.2. Market
Forecast, 2019 – 2027
8.2.2.5.5. Latin America
8.2.2.5.5.1. Market
Estimation, 2013 – 2018
8.2.2.5.5.2. Market
Forecast, 2019 – 2027
8.2.3. Service
8.2.3.1. Definition
8.2.3.2. Market
Estimation and Penetration, 2013 – 2018
8.2.3.3. Market
Forecast, 2019 – 2027
8.2.3.4. Compound
Annual Growth Rate (CAGR)
8.2.3.5. Regional
Bifurcation
8.2.3.5.1. North America
8.2.3.5.1.1. Market
Estimation, 2013 – 2018
8.2.3.5.1.2. Market
Forecast, 2019 – 2027
8.2.3.5.2. Europe
8.2.3.5.2.1. Market
Estimation, 2013 – 2018
8.2.3.5.2.2. Market
Forecast, 2019 – 2027
8.2.3.5.3. Asia Pacific
8.2.3.5.3.1. Market
Estimation, 2013 – 2018
8.2.3.5.3.2. Market
Forecast, 2019 – 2027
8.2.3.5.4. Middle East and Africa
8.2.3.5.4.1. Market
Estimation, 2013 – 2018
8.2.3.5.4.2. Market
Forecast, 2019 – 2027
8.2.3.5.5. Latin America
8.2.3.5.5.1. Market
Estimation, 2013 – 2018
8.2.3.5.5.2. Market
Forecast, 2019 – 2027
8.3. Key
Segment for Channeling Investments
8.3.1. By
Component
9. Global Artificial Intelligence in Medicine Market Analysis
and Forecasts, 2019 – 2027
9.1. Overview
9.2. Global
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
9.2.1. Robot
Assisted Surgery
9.2.1.1. Definition
9.2.1.2. Market
Estimation and Penetration, 2013 – 2018
9.2.1.3. Market
Forecast, 2019 – 2027
9.2.1.4. Compound
Annual Growth Rate (CAGR)
9.2.1.5. Regional
Bifurcation
9.2.1.5.1. North America
9.2.1.5.1.1. Market
Estimation, 2013 – 2018
9.2.1.5.1.2. Market
Forecast, 2019 – 2027
9.2.1.5.2. Europe
9.2.1.5.2.1. Market
Estimation, 2013 – 2018
9.2.1.5.2.2. Market
Forecast, 2019 – 2027
9.2.1.5.3. Asia Pacific
9.2.1.5.3.1. Market
Estimation, 2013 – 2018
9.2.1.5.3.2. Market
Forecast, 2019 – 2027
9.2.1.5.4. Middle East and Africa
9.2.1.5.4.1. Market
Estimation, 2013 – 2018
9.2.1.5.4.2. Market
Forecast, 2019 – 2027
9.2.1.5.5. Latin America
9.2.1.5.5.1. Market
Estimation, 2013 – 2018
9.2.1.5.5.2. Market
Forecast, 2019 – 2027
9.2.2. Virtual
Nursing Assistants
9.2.2.1. Definition
9.2.2.2. Market
Estimation and Penetration, 2013 – 2018
9.2.2.3. Market
Forecast, 2019 – 2027
9.2.2.4. Compound
Annual Growth Rate (CAGR)
9.2.2.5. Regional
Bifurcation
9.2.2.5.1. North America
9.2.2.5.1.1. Market
Estimation, 2013 – 2018
9.2.2.5.1.2. Market
Forecast, 2019 – 2027
9.2.2.5.2. Europe
9.2.2.5.2.1. Market
Estimation, 2013 – 2018
9.2.2.5.2.2. Market
Forecast, 2019 – 2027
9.2.2.5.3. Asia Pacific
9.2.2.5.3.1. Market
Estimation, 2013 – 2018
9.2.2.5.3.2. Market
Forecast, 2019 – 2027
9.2.2.5.4. Middle East and Africa
9.2.2.5.4.1. Market
Estimation, 2013 – 2018
9.2.2.5.4.2. Market
Forecast, 2019 – 2027
9.2.2.5.5. Latin America
9.2.2.5.5.1. Market
Estimation, 2013 – 2018
9.2.2.5.5.2. Market
Forecast, 2019 – 2027
9.2.3. Administrative
Workflow Assistance
9.2.3.1. Definition
9.2.3.2. Market
Estimation and Penetration, 2013 – 2018
9.2.3.3. Market
Forecast, 2019 – 2027
9.2.3.4. Compound
Annual Growth Rate (CAGR)
9.2.3.5. Regional
Bifurcation
9.2.3.5.1. North America
9.2.3.5.1.1. Market
Estimation, 2013 – 2018
9.2.3.5.1.2. Market
Forecast, 2019 – 2027
9.2.3.5.2. Europe
9.2.3.5.2.1. Market
Estimation, 2013 – 2018
9.2.3.5.2.2. Market
Forecast, 2019 – 2027
9.2.3.5.3. Asia Pacific
9.2.3.5.3.1. Market
Estimation, 2013 – 2018
9.2.3.5.3.2. Market
Forecast, 2019 – 2027
9.2.3.5.4. Middle East and Africa
9.2.3.5.4.1. Market
Estimation, 2013 – 2018
9.2.3.5.4.2. Market
Forecast, 2019 – 2027
9.2.3.5.5. Latin America
9.2.3.5.5.1. Market
Estimation, 2013 – 2018
9.2.3.5.5.2. Market
Forecast, 2019 – 2027
9.2.4. Fraud
Detection
9.2.4.1. Definition
9.2.4.2. Market
Estimation and Penetration, 2013 – 2018
9.2.4.3. Market
Forecast, 2019 – 2027
9.2.4.4. Compound
Annual Growth Rate (CAGR)
9.2.4.5. Regional
Bifurcation
9.2.4.5.1. North America
9.2.4.5.1.1. Market
Estimation, 2013 – 2018
9.2.4.5.1.2. Market
Forecast, 2019 – 2027
9.2.4.5.2. Europe
9.2.4.5.2.1. Market
Estimation, 2013 – 2018
9.2.4.5.2.2. Market
Forecast, 2019 – 2027
9.2.4.5.3. Asia Pacific
9.2.4.5.3.1. Market
Estimation, 2013 – 2018
9.2.4.5.3.2. Market
Forecast, 2019 – 2027
9.2.4.5.4. Middle East and Africa
9.2.4.5.4.1. Market
Estimation, 2013 – 2018
9.2.4.5.4.2. Market
Forecast, 2019 – 2027
9.2.4.5.5. Latin America
9.2.4.5.5.1. Market
Estimation, 2013 – 2018
9.2.4.5.5.2. Market
Forecast, 2019 – 2027
9.2.5. Connected
Machines
9.2.5.1. Definition
9.2.5.2. Market
Estimation and Penetration, 2013 – 2018
9.2.5.3. Market
Forecast, 2019 – 2027
9.2.5.4. Compound
Annual Growth Rate (CAGR)
9.2.5.5. Regional
Bifurcation
9.2.5.5.1. North America
9.2.5.5.1.1. Market
Estimation, 2013 – 2018
9.2.5.5.1.2. Market
Forecast, 2019 – 2027
9.2.5.5.2. Europe
9.2.5.5.2.1. Market
Estimation, 2013 – 2018
9.2.5.5.2.2. Market
Forecast, 2019 – 2027
9.2.5.5.3. Asia Pacific
9.2.5.5.3.1. Market
Estimation, 2013 – 2018
9.2.5.5.3.2. Market
Forecast, 2019 – 2027
9.2.5.5.4. Middle East and Africa
9.2.5.5.4.1. Market
Estimation, 2013 – 2018
9.2.5.5.4.2. Market
Forecast, 2019 – 2027
9.2.5.5.5. Latin America
9.2.5.5.5.1. Market
Estimation, 2013 – 2018
9.2.5.5.5.2. Market
Forecast, 2019 – 2027
9.2.6. Clinical
Trial
9.2.6.1. Definition
9.2.6.2. Market
Estimation and Penetration, 2013 – 2018
9.2.6.3. Market
Forecast, 2019 – 2027
9.2.6.4. Compound
Annual Growth Rate (CAGR)
9.2.6.5. Regional
Bifurcation
9.2.6.5.1. North America
9.2.6.5.1.1. Market
Estimation, 2013 – 2018
9.2.6.5.1.2. Market
Forecast, 2019 – 2027
9.2.6.5.2. Europe
9.2.6.5.2.1. Market
Estimation, 2013 – 2018
9.2.6.5.2.2. Market
Forecast, 2019 – 2027
9.2.6.5.3. Asia Pacific
9.2.6.5.3.1. Market
Estimation, 2013 – 2018
9.2.6.5.3.2. Market
Forecast, 2019 – 2027
9.2.6.5.4. Middle East and Africa
9.2.6.5.4.1. Market
Estimation, 2013 – 2018
9.2.6.5.4.2. Market
Forecast, 2019 – 2027
9.2.6.5.5. Latin America
9.2.6.5.5.1. Market
Estimation, 2013 – 2018
9.2.6.5.5.2. Market
Forecast, 2019 – 2027
9.2.7. Preliminary
Diagnosis
9.2.7.1. Definition
9.2.7.2. Market
Estimation and Penetration, 2013 – 2018
9.2.7.3. Market
Forecast, 2019 – 2027
9.2.7.4. Compound
Annual Growth Rate (CAGR)
9.2.7.5. Regional
Bifurcation
9.2.7.5.1. North America
9.2.7.5.1.1. Market
Estimation, 2013 – 2018
9.2.7.5.1.2. Market
Forecast, 2019 – 2027
9.2.7.5.2. Europe
9.2.7.5.2.1. Market
Estimation, 2013 – 2018
9.2.7.5.2.2. Market
Forecast, 2019 – 2027
9.2.7.5.3. Asia Pacific
9.2.7.5.3.1. Market
Estimation, 2013 – 2018
9.2.7.5.3.2. Market
Forecast, 2019 – 2027
9.2.7.5.4. Middle East and Africa
9.2.7.5.4.1. Market
Estimation, 2013 – 2018
9.2.7.5.4.2. Market
Forecast, 2019 – 2027
9.2.7.5.5. Latin America
9.2.7.5.5.1. Market
Estimation, 2013 – 2018
9.2.7.5.5.2. Market
Forecast, 2019 – 2027
9.2.8. Others
9.2.8.1. Definition
9.2.8.2. Market
Estimation and Penetration, 2013 – 2018
9.2.8.3. Market
Forecast, 2019 – 2027
9.2.8.4. Compound
Annual Growth Rate (CAGR)
9.2.8.5. Regional
Bifurcation
9.2.8.5.1. North America
9.2.8.5.1.1. Market
Estimation, 2013 – 2018
9.2.8.5.1.2. Market
Forecast, 2019 – 2027
9.2.8.5.2. Europe
9.2.8.5.2.1. Market
Estimation, 2013 – 2018
9.2.8.5.2.2. Market
Forecast, 2019 – 2027
9.2.8.5.3. Asia Pacific
9.2.8.5.3.1. Market
Estimation, 2013 – 2018
9.2.8.5.3.2. Market
Forecast, 2019 – 2027
9.2.8.5.4. Middle East and Africa
9.2.8.5.4.1. Market
Estimation, 2013 – 2018
9.2.8.5.4.2. Market
Forecast, 2019 – 2027
9.2.8.5.5. Latin America
9.2.8.5.5.1. Market
Estimation, 2013 – 2018
9.2.8.5.5.2. Market
Forecast, 2019 – 2027
9.3. Key
Segment for Channeling Investments
9.3.1. By
Application
10. Global Artificial Intelligence in Medicine Market Analysis
and Forecasts, 2019 – 2027
10.1. Overview
10.2. Global
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
10.2.1. Healthcare
Provider
10.2.1.1. Definition
10.2.1.2. Market
Estimation and Penetration, 2013 – 2018
10.2.1.3. Market
Forecast, 2019 – 2027
10.2.1.4. Compound
Annual Growth Rate (CAGR)
10.2.1.5. Regional
Bifurcation
10.2.1.5.1. North America
10.2.1.5.1.1. Market
Estimation, 2013 – 2018
10.2.1.5.1.2. Market
Forecast, 2019 – 2027
10.2.1.5.2. Europe
10.2.1.5.2.1. Market
Estimation, 2013 – 2018
10.2.1.5.2.2. Market
Forecast, 2019 – 2027
10.2.1.5.3. Asia Pacific
10.2.1.5.3.1. Market
Estimation, 2013 – 2018
10.2.1.5.3.2. Market
Forecast, 2019 – 2027
10.2.1.5.4. Middle East and Africa
10.2.1.5.4.1. Market
Estimation, 2013 – 2018
10.2.1.5.4.2. Market
Forecast, 2019 – 2027
10.2.1.5.5. Latin America
10.2.1.5.5.1. Market
Estimation, 2013 – 2018
10.2.1.5.5.2. Market
Forecast, 2019 – 2027
10.2.2. Pharmaceutical
and Biotechnology Company
10.2.2.1. Definition
10.2.2.2. Market
Estimation and Penetration, 2013 – 2018
10.2.2.3. Market
Forecast, 2019 – 2027
10.2.2.4. Compound
Annual Growth Rate (CAGR)
10.2.2.5. Regional
Bifurcation
10.2.2.5.1. North America
10.2.2.5.1.1. Market
Estimation, 2013 – 2018
10.2.2.5.1.2. Market
Forecast, 2019 – 2027
10.2.2.5.2. Europe
10.2.2.5.2.1. Market
Estimation, 2013 – 2018
10.2.2.5.2.2. Market
Forecast, 2019 – 2027
10.2.2.5.3. Asia Pacific
10.2.2.5.3.1. Market
Estimation, 2013 – 2018
10.2.2.5.3.2. Market
Forecast, 2019 – 2027
10.2.2.5.4. Middle East and Africa
10.2.2.5.4.1. Market
Estimation, 2013 – 2018
10.2.2.5.4.2. Market
Forecast, 2019 – 2027
10.2.2.5.5. Latin America
10.2.2.5.5.1. Market
Estimation, 2013 – 2018
10.2.2.5.5.2. Market
Forecast, 2019 – 2027
10.2.3. Patient
10.2.3.1. Definition
10.2.3.2. Market
Estimation and Penetration, 2013 – 2018
10.2.3.3. Market
Forecast, 2019 – 2027
10.2.3.4. Compound
Annual Growth Rate (CAGR)
10.2.3.5. Regional
Bifurcation
10.2.3.5.1. North America
10.2.3.5.1.1. Market
Estimation, 2013 – 2018
10.2.3.5.1.2. Market
Forecast, 2019 – 2027
10.2.3.5.2. Europe
10.2.3.5.2.1. Market
Estimation, 2013 – 2018
10.2.3.5.2.2. Market
Forecast, 2019 – 2027
10.2.3.5.3. Asia Pacific
10.2.3.5.3.1. Market
Estimation, 2013 – 2018
10.2.3.5.3.2. Market
Forecast, 2019 – 2027
10.2.3.5.4. Middle East and Africa
10.2.3.5.4.1. Market
Estimation, 2013 – 2018
10.2.3.5.4.2. Market
Forecast, 2019 – 2027
10.2.3.5.5. Latin America
10.2.3.5.5.1. Market
Estimation, 2013 – 2018
10.2.3.5.5.2. Market
Forecast, 2019 – 2027
10.2.4. Payer
10.2.4.1. Definition
10.2.4.2. Market
Estimation and Penetration, 2013 – 2018
10.2.4.3. Market
Forecast, 2019 – 2027
10.2.4.4. Compound
Annual Growth Rate (CAGR)
10.2.4.5. Regional
Bifurcation
10.2.4.5.1. North America
10.2.4.5.1.1. Market
Estimation, 2013 – 2018
10.2.4.5.1.2. Market
Forecast, 2019 – 2027
10.2.4.5.2. Europe
10.2.4.5.2.1. Market
Estimation, 2013 – 2018
10.2.4.5.2.2. Market
Forecast, 2019 – 2027
10.2.4.5.3. Asia Pacific
10.2.4.5.3.1. Market
Estimation, 2013 – 2018
10.2.4.5.3.2. Market
Forecast, 2019 – 2027
10.2.4.5.4. Middle East and Africa
10.2.4.5.4.1. Market
Estimation, 2013 – 2018
10.2.4.5.4.2. Market
Forecast, 2019 – 2027
10.2.4.5.5. Latin America
10.2.4.5.5.1. Market
Estimation, 2013 – 2018
10.2.4.5.5.2. Market
Forecast, 2019 – 2027
10.2.5. Other
10.2.5.1. Definition
10.2.5.2. Market
Estimation and Penetration, 2013 – 2018
10.2.5.3. Market
Forecast, 2019 – 2027
10.2.5.4. Compound
Annual Growth Rate (CAGR)
10.2.5.5. Regional
Bifurcation
10.2.5.5.1. North America
10.2.5.5.1.1. Market
Estimation, 2013 – 2018
10.2.5.5.1.2. Market
Forecast, 2019 – 2027
10.2.5.5.2. Europe
10.2.5.5.2.1. Market
Estimation, 2013 – 2018
10.2.5.5.2.2. Market
Forecast, 2019 – 2027
10.2.5.5.3. Asia Pacific
10.2.5.5.3.1. Market
Estimation, 2013 – 2018
10.2.5.5.3.2. Market
Forecast, 2019 – 2027
10.2.5.5.4. Middle East and Africa
10.2.5.5.4.1. Market
Estimation, 2013 – 2018
10.2.5.5.4.2. Market
Forecast, 2019 – 2027
10.2.5.5.5. Latin America
10.2.5.5.5.1. Market
Estimation, 2013 – 2018
10.2.5.5.5.2. Market
Forecast, 2019 – 2027
10.3. Key
Segment for Channeling Investments
10.3.1. By
End-User
11. Global Artificial Intelligence in Medicine Market Analysis
and Forecasts, 2019 – 2027
11.1. Overview
11.2. Global
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
11.2.1. Querying
Method
11.2.1.1. Definition
11.2.1.2. Market
Estimation and Penetration, 2013 – 2018
11.2.1.3. Market
Forecast, 2019 – 2027
11.2.1.4. Compound
Annual Growth Rate (CAGR)
11.2.1.5. Regional
Bifurcation
11.2.1.5.1. North America
11.2.1.5.1.1. Market
Estimation, 2013 – 2018
11.2.1.5.1.2. Market
Forecast, 2019 – 2027
11.2.1.5.2. Europe
11.2.1.5.2.1. Market
Estimation, 2013 – 2018
11.2.1.5.2.2. Market
Forecast, 2019 – 2027
11.2.1.5.3. Asia Pacific
11.2.1.5.3.1. Market
Estimation, 2013 – 2018
11.2.1.5.3.2. Market
Forecast, 2019 – 2027
11.2.1.5.4. Middle East and Africa
11.2.1.5.4.1. Market
Estimation, 2013 – 2018
11.2.1.5.4.2. Market
Forecast, 2019 – 2027
11.2.1.5.5. Latin America
11.2.1.5.5.1. Market
Estimation, 2013 – 2018
11.2.1.5.5.2. Market
Forecast, 2019 – 2027
11.2.2. Natural
Language Processing
11.2.2.1. Definition
11.2.2.2. Market
Estimation and Penetration, 2013 – 2018
11.2.2.3. Market
Forecast, 2019 – 2027
11.2.2.4. Compound
Annual Growth Rate (CAGR)
11.2.2.5. Regional
Bifurcation
11.2.2.5.1. North America
11.2.2.5.1.1. Market
Estimation, 2013 – 2018
11.2.2.5.1.2. Market
Forecast, 2019 – 2027
11.2.2.5.2. Europe
11.2.2.5.2.1. Market
Estimation, 2013 – 2018
11.2.2.5.2.2. Market
Forecast, 2019 – 2027
11.2.2.5.3. Asia Pacific
11.2.2.5.3.1. Market
Estimation, 2013 – 2018
11.2.2.5.3.2. Market
Forecast, 2019 – 2027
11.2.2.5.4. Middle East and Africa
11.2.2.5.4.1. Market
Estimation, 2013 – 2018
11.2.2.5.4.2. Market
Forecast, 2019 – 2027
11.2.2.5.5. Latin America
11.2.2.5.5.1. Market
Estimation, 2013 – 2018
11.2.2.5.5.2. Market
Forecast, 2019 – 2027
11.2.3. Context
Aware Processing
11.2.3.1. Definition
11.2.3.2. Market
Estimation and Penetration, 2013 – 2018
11.2.3.3. Market
Forecast, 2019 – 2027
11.2.3.4. Compound
Annual Growth Rate (CAGR)
11.2.3.5. Regional
Bifurcation
11.2.3.5.1. North America
11.2.3.5.1.1. Market
Estimation, 2013 – 2018
11.2.3.5.1.2. Market
Forecast, 2019 – 2027
11.2.3.5.2. Europe
11.2.3.5.2.1. Market
Estimation, 2013 – 2018
11.2.3.5.2.2. Market
Forecast, 2019 – 2027
11.2.3.5.3. Asia Pacific
11.2.3.5.3.1. Market
Estimation, 2013 – 2018
11.2.3.5.3.2. Market
Forecast, 2019 – 2027
11.2.3.5.4. Middle East and Africa
11.2.3.5.4.1. Market
Estimation, 2013 – 2018
11.2.3.5.4.2. Market
Forecast, 2019 – 2027
11.2.3.5.5. Latin America
11.2.3.5.5.1. Market
Estimation, 2013 – 2018
11.2.3.5.5.2. Market
Forecast, 2019 – 2027
11.2.4. Speech
Recognition
11.2.4.1. Definition
11.2.4.2. Market
Estimation and Penetration, 2013 – 2018
11.2.4.3. Market
Forecast, 2019 – 2027
11.2.4.4. Compound
Annual Growth Rate (CAGR)
11.2.4.5. Regional
Bifurcation
11.2.4.5.1. North America
11.2.4.5.1.1. Market
Estimation, 2013 – 2018
11.2.4.5.1.2. Market
Forecast, 2019 – 2027
11.2.4.5.2. Europe
11.2.4.5.2.1. Market
Estimation, 2013 – 2018
11.2.4.5.2.2. Market
Forecast, 2019 – 2027
11.2.4.5.3. Asia Pacific
11.2.4.5.3.1. Market
Estimation, 2013 – 2018
11.2.4.5.3.2. Market
Forecast, 2019 – 2027
11.2.4.5.4. Middle East and Africa
11.2.4.5.4.1. Market
Estimation, 2013 – 2018
11.2.4.5.4.2. Market
Forecast, 2019 – 2027
11.2.4.5.5. Latin America
11.2.4.5.5.1. Market
Estimation, 2013 – 2018
11.2.4.5.5.2. Market
Forecast, 2019 – 2027
11.2.5. Decision
Management
11.2.5.1. Definition
11.2.5.2. Market
Estimation and Penetration, 2013 – 2018
11.2.5.3. Market
Forecast, 2019 – 2027
11.2.5.4. Compound
Annual Growth Rate (CAGR)
11.2.5.5. Regional
Bifurcation
11.2.5.5.1. North America
11.2.5.5.1.1. Market
Estimation, 2013 – 2018
11.2.5.5.1.2. Market
Forecast, 2019 – 2027
11.2.5.5.2. Europe
11.2.5.5.2.1. Market
Estimation, 2013 – 2018
11.2.5.5.2.2. Market
Forecast, 2019 – 2027
11.2.5.5.3. Asia Pacific
11.2.5.5.3.1. Market
Estimation, 2013 – 2018
11.2.5.5.3.2. Market
Forecast, 2019 – 2027
11.2.5.5.4. Middle East and Africa
11.2.5.5.4.1. Market
Estimation, 2013 – 2018
11.2.5.5.4.2. Market
Forecast, 2019 – 2027
11.2.5.5.5. Latin America
11.2.5.5.5.1. Market
Estimation, 2013 – 2018
11.2.5.5.5.2. Market
Forecast, 2019 – 2027
11.2.6. Others
11.2.6.1. Definition
11.2.6.2. Market
Estimation and Penetration, 2013 – 2018
11.2.6.3. Market
Forecast, 2019 – 2027
11.2.6.4. Compound
Annual Growth Rate (CAGR)
11.2.6.5. Regional
Bifurcation
11.2.6.5.1. North America
11.2.6.5.1.1. Market
Estimation, 2013 – 2018
11.2.6.5.1.2. Market
Forecast, 2019 – 2027
11.2.6.5.2. Europe
11.2.6.5.2.1. Market
Estimation, 2013 – 2018
11.2.6.5.2.2. Market
Forecast, 2019 – 2027
11.2.6.5.3. Asia Pacific
11.2.6.5.3.1. Market
Estimation, 2013 – 2018
11.2.6.5.3.2. Market
Forecast, 2019 – 2027
11.2.6.5.4. Middle East and Africa
11.2.6.5.4.1. Market
Estimation, 2013 – 2018
11.2.6.5.4.2. Market
Forecast, 2019 – 2027
11.2.6.5.5. Latin America
11.2.6.5.5.1. Market
Estimation, 2013 – 2018
11.2.6.5.5.2. Market
Forecast, 2019 – 2027
11.3. Key
Segment for Channeling Investments
11.3.1. By
Technology
12. North America Artificial Intelligence in Medicine Market
Analysis and Forecasts, 2019 - 2027
12.1. Overview
12.1.1. North
America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
12.2. North
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
12.2.1. Hardware
12.2.2. Software
12.2.3. Service
12.3. North
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
12.3.1. Robot
Assisted Surgery
12.3.2. Virtual
Nursing Assistants
12.3.3. Administrative
Workflow Assistance
12.3.4. Fraud
Detection
12.3.5. Connected
Machines
12.3.6. Clinical
Trial
12.3.7. Preliminary
Diagnosis
12.3.8. Others
12.4. North
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
12.4.1. Healthcare
Provider
12.4.2. Pharmaceutical
and Biotechnology Company
12.4.3. Patient
12.4.4. Payer
12.4.5. Other
12.5. North
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
12.5.1. Querying
Method
12.5.2. Natural
Language Processing
12.5.3. Context
Aware Processing
12.5.4. Speech
Recognition
12.5.5. Decision
Management
12.5.6. Others
12.6. North
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Country
12.6.1. U.S
12.6.1.1. U.S
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
12.6.1.1.1. Hardware
12.6.1.1.2. Software
12.6.1.1.3. Service
12.6.1.2. U.S
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
12.6.1.2.1. Robot Assisted Surgery
12.6.1.2.2. Virtual Nursing Assistants
12.6.1.2.3. Administrative Workflow Assistance
12.6.1.2.4. Fraud Detection
12.6.1.2.5. Connected Machines
12.6.1.2.6. Clinical Trial
12.6.1.2.7. Preliminary Diagnosis
12.6.1.2.8. Others
12.6.1.3. U.S
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
12.6.1.3.1. Healthcare Provider
12.6.1.3.2. Pharmaceutical and Biotechnology Company
12.6.1.3.3. Patient
12.6.1.3.4. Payer
12.6.1.3.5. Other
12.6.1.4. U.S
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
12.6.1.4.1. Querying Method
12.6.1.4.2. Natural Language Processing
12.6.1.4.3. Context Aware Processing
12.6.1.4.4. Speech Recognition
12.6.1.4.5. Decision Management
12.6.1.4.6. Others
12.6.2. Canada
12.6.2.1. Canada
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
12.6.2.1.1. Hardware
12.6.2.1.2. Software
12.6.2.1.3. Service
12.6.2.2. Canada
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
12.6.2.2.1. Robot Assisted Surgery
12.6.2.2.2. Virtual Nursing Assistants
12.6.2.2.3. Administrative Workflow Assistance
12.6.2.2.4. Fraud Detection
12.6.2.2.5. Connected Machines
12.6.2.2.6. Clinical Trial
12.6.2.2.7. Preliminary Diagnosis
12.6.2.2.8. Others
12.6.2.3. Canada
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
12.6.2.3.1. Healthcare Provider
12.6.2.3.2. Pharmaceutical and Biotechnology Company
12.6.2.3.3. Patient
12.6.2.3.4. Payer
12.6.2.3.5. Other
12.6.2.4. Canada
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
12.6.2.4.1. Querying Method
12.6.2.4.2. Natural Language Processing
12.6.2.4.3. Context Aware Processing
12.6.2.4.4. Speech Recognition
12.6.2.4.5. Decision Management
12.6.2.4.6. Others
12.6.3. Mexico
12.6.3.1. Mexico
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
12.6.3.1.1. Hardware
12.6.3.1.2. Software
12.6.3.1.3. Service
12.6.3.2. Mexico
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
12.6.3.2.1. Robot Assisted Surgery
12.6.3.2.2. Virtual Nursing Assistants
12.6.3.2.3. Administrative Workflow Assistance
12.6.3.2.4. Fraud Detection
12.6.3.2.5. Connected Machines
12.6.3.2.6. Clinical Trial
12.6.3.2.7. Preliminary Diagnosis
12.6.3.2.8. Others
12.6.3.3. Mexico
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
12.6.3.3.1. Healthcare Provider
12.6.3.3.2. Pharmaceutical and Biotechnology Company
12.6.3.3.3. Patient
12.6.3.3.4. Payer
12.6.3.3.5. Other
12.6.3.4. Mexico
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
12.6.3.4.1. Querying Method
12.6.3.4.2. Natural Language Processing
12.6.3.4.3. Context Aware Processing
12.6.3.4.4. Speech Recognition
12.6.3.4.5. Decision Management
12.6.3.4.6. Others
12.6.4. Rest of
North America
12.6.4.1. Rest
of North America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By Component
12.6.4.1.1. Hardware
12.6.4.1.2. Software
12.6.4.1.3. Service
12.6.4.2. Rest
of North America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By Application
12.6.4.2.1. Robot Assisted Surgery
12.6.4.2.2. Virtual Nursing Assistants
12.6.4.2.3. Administrative Workflow Assistance
12.6.4.2.4. Fraud Detection
12.6.4.2.5. Connected Machines
12.6.4.2.6. Clinical Trial
12.6.4.2.7. Preliminary Diagnosis
12.6.4.2.8. Others
12.6.4.3. Rest
of North America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By End-User
12.6.4.3.1. Healthcare Provider
12.6.4.3.2. Pharmaceutical and Biotechnology Company
12.6.4.3.3. Patient
12.6.4.3.4. Payer
12.6.4.3.5. Other
12.6.4.4. Rest
of North America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By Technology
12.6.4.4.1. Querying Method
12.6.4.4.2. Natural Language Processing
12.6.4.4.3. Context Aware Processing
12.6.4.4.4. Speech Recognition
12.6.4.4.5. Decision Management
12.6.4.4.6. Others
12.7. Key
Segment for Channeling Investments
12.7.1. By
Country
12.7.2. By
Component
12.7.3. By
Application
12.7.4. By
End-User
12.7.5. By
Technology
13. Europe Artificial Intelligence in Medicine Market Analysis
and Forecasts, 2019 - 2027
13.1. Overview
13.1.1. Europe
Artificial Intelligence in Medicine Market Revenue (US$ Mn)
13.2. Europe
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
13.2.1. Hardware
13.2.2. Software
13.2.3. Service
13.3. Europe
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
13.3.1. Robot
Assisted Surgery
13.3.2. Virtual
Nursing Assistants
13.3.3. Administrative
Workflow Assistance
13.3.4. Fraud
Detection
13.3.5. Connected
Machines
13.3.6. Clinical
Trial
13.3.7. Preliminary
Diagnosis
13.3.8. Others
13.4. Europe
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
13.4.1. Healthcare
Provider
13.4.2. Pharmaceutical
and Biotechnology Company
13.4.3. Patient
13.4.4. Payer
13.4.5. Other
13.5. Europe
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
13.5.1. Querying
Method
13.5.2. Natural
Language Processing
13.5.3. Context
Aware Processing
13.5.4. Speech
Recognition
13.5.5. Decision
Management
13.5.6. Others
13.6. Europe
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Country
13.6.1. France
13.6.1.1. France
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
13.6.1.1.1. Hardware
13.6.1.1.2. Software
13.6.1.1.3. Service
13.6.1.2. France
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
13.6.1.2.1. Robot Assisted Surgery
13.6.1.2.2. Virtual Nursing Assistants
13.6.1.2.3. Administrative Workflow Assistance
13.6.1.2.4. Fraud Detection
13.6.1.2.5. Connected Machines
13.6.1.2.6. Clinical Trial
13.6.1.2.7. Preliminary Diagnosis
13.6.1.2.8. Others
13.6.1.3. France
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
13.6.1.3.1. Healthcare Provider
13.6.1.3.2. Pharmaceutical and Biotechnology Company
13.6.1.3.3. Patient
13.6.1.3.4. Payer
13.6.1.3.5. Other
13.6.1.4. France
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
13.6.1.4.1. Querying Method
13.6.1.4.2. Natural Language Processing
13.6.1.4.3. Context Aware Processing
13.6.1.4.4. Speech Recognition
13.6.1.4.5. Decision Management
13.6.1.4.6. Others
13.6.2. The UK
13.6.2.1. The
UK Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Component
13.6.2.1.1. Hardware
13.6.2.1.2. Software
13.6.2.1.3. Service
13.6.2.2. The
UK Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Application
13.6.2.2.1. Robot Assisted Surgery
13.6.2.2.2. Virtual Nursing Assistants
13.6.2.2.3. Administrative Workflow Assistance
13.6.2.2.4. Fraud Detection
13.6.2.2.5. Connected Machines
13.6.2.2.6. Clinical Trial
13.6.2.2.7. Preliminary Diagnosis
13.6.2.2.8. Others
13.6.2.3. The
UK Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By End-User
13.6.2.3.1. Healthcare Provider
13.6.2.3.2. Pharmaceutical and Biotechnology Company
13.6.2.3.3. Patient
13.6.2.3.4. Payer
13.6.2.3.5. Other
13.6.2.4. The
UK Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
13.6.2.4.1. Querying Method
13.6.2.4.2. Natural Language Processing
13.6.2.4.3. Context Aware Processing
13.6.2.4.4. Speech Recognition
13.6.2.4.5. Decision Management
13.6.2.4.6. Others
13.6.3. Spain
13.6.3.1. Spain
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
13.6.3.1.1. Hardware
13.6.3.1.2. Software
13.6.3.1.3. Service
13.6.3.2. Spain
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
13.6.3.2.1. Robot Assisted Surgery
13.6.3.2.2. Virtual Nursing Assistants
13.6.3.2.3. Administrative Workflow Assistance
13.6.3.2.4. Fraud Detection
13.6.3.2.5. Connected Machines
13.6.3.2.6. Clinical Trial
13.6.3.2.7. Preliminary Diagnosis
13.6.3.2.8. Others
13.6.3.3. Spain
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
13.6.3.3.1. Healthcare Provider
13.6.3.3.2. Pharmaceutical and Biotechnology Company
13.6.3.3.3. Patient
13.6.3.3.4. Payer
13.6.3.3.5. Other
13.6.3.4. Spain
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
13.6.3.4.1. Querying Method
13.6.3.4.2. Natural Language Processing
13.6.3.4.3. Context Aware Processing
13.6.3.4.4. Speech Recognition
13.6.3.4.5. Decision Management
13.6.3.4.6. Others
13.6.4. Germany
13.6.4.1. Germany
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
13.6.4.1.1. Hardware
13.6.4.1.2. Software
13.6.4.1.3. Service
13.6.4.2. Germany
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
13.6.4.2.1. Robot Assisted Surgery
13.6.4.2.2. Virtual Nursing Assistants
13.6.4.2.3. Administrative Workflow Assistance
13.6.4.2.4. Fraud Detection
13.6.4.2.5. Connected Machines
13.6.4.2.6. Clinical Trial
13.6.4.2.7. Preliminary Diagnosis
13.6.4.2.8. Others
13.6.4.3. Germany
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
13.6.4.3.1. Healthcare Provider
13.6.4.3.2. Pharmaceutical and Biotechnology Company
13.6.4.3.3. Patient
13.6.4.3.4. Payer
13.6.4.3.5. Other
13.6.4.4. Germany
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
13.6.4.4.1. Querying Method
13.6.4.4.2. Natural Language Processing
13.6.4.4.3. Context Aware Processing
13.6.4.4.4. Speech Recognition
13.6.4.4.5. Decision Management
13.6.4.4.6. Others
13.6.5. Italy
13.6.5.1. Italy
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
13.6.5.1.1. Hardware
13.6.5.1.2. Software
13.6.5.1.3. Service
13.6.5.2. Italy
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
13.6.5.2.1. Robot Assisted Surgery
13.6.5.2.2. Virtual Nursing Assistants
13.6.5.2.3. Administrative Workflow Assistance
13.6.5.2.4. Fraud Detection
13.6.5.2.5. Connected Machines
13.6.5.2.6. Clinical Trial
13.6.5.2.7. Preliminary Diagnosis
13.6.5.2.8. Others
13.6.5.3. Italy
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
13.6.5.3.1. Healthcare Provider
13.6.5.3.2. Pharmaceutical and Biotechnology Company
13.6.5.3.3. Patient
13.6.5.3.4. Payer
13.6.5.3.5. Other
13.6.5.4. Italy
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
13.6.5.4.1. Querying Method
13.6.5.4.2. Natural Language Processing
13.6.5.4.3. Context Aware Processing
13.6.5.4.4. Speech Recognition
13.6.5.4.5. Decision Management
13.6.5.4.6. Others
13.6.6. Nordic
Countries
13.6.6.1. Nordic
Countries Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
13.6.6.1.1. Hardware
13.6.6.1.2. Software
13.6.6.1.3. Service
13.6.6.2. Nordic
Countries Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
13.6.6.2.1. Robot Assisted Surgery
13.6.6.2.2. Virtual Nursing Assistants
13.6.6.2.3. Administrative Workflow Assistance
13.6.6.2.4. Fraud Detection
13.6.6.2.5. Connected Machines
13.6.6.2.6. Clinical Trial
13.6.6.2.7. Preliminary Diagnosis
13.6.6.2.8. Others
13.6.6.3. Nordic
Countries Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
13.6.6.3.1. Healthcare Provider
13.6.6.3.2. Pharmaceutical and Biotechnology Company
13.6.6.3.3. Patient
13.6.6.3.4. Payer
13.6.6.3.5. Other
13.6.6.4. Nordic
Countries Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
13.6.6.4.1. Querying Method
13.6.6.4.2. Natural Language Processing
13.6.6.4.3. Context Aware Processing
13.6.6.4.4. Speech Recognition
13.6.6.4.5. Decision Management
13.6.6.4.6. Others
13.6.6.5. Nordic
Countries Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Country
13.6.6.5.1. Denmark
13.6.6.5.2. Finland
13.6.6.5.3. Iceland
13.6.6.5.4. Sweden
13.6.6.5.5. Norway
13.6.7. Benelux
Union
13.6.7.1. Benelux
Union Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
13.6.7.1.1. Hardware
13.6.7.1.2. Software
13.6.7.1.3. Service
13.6.7.2. Benelux
Union Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
13.6.7.2.1. Robot Assisted Surgery
13.6.7.2.2. Virtual Nursing Assistants
13.6.7.2.3. Administrative Workflow Assistance
13.6.7.2.4. Fraud Detection
13.6.7.2.5. Connected Machines
13.6.7.2.6. Clinical Trial
13.6.7.2.7. Preliminary Diagnosis
13.6.7.2.8. Others
13.6.7.3. Benelux
Union Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
13.6.7.3.1. Healthcare Provider
13.6.7.3.2. Pharmaceutical and Biotechnology Company
13.6.7.3.3. Patient
13.6.7.3.4. Payer
13.6.7.3.5. Other
13.6.7.4. Benelux
Union Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
13.6.7.4.1. Querying Method
13.6.7.4.2. Natural Language Processing
13.6.7.4.3. Context Aware Processing
13.6.7.4.4. Speech Recognition
13.6.7.4.5. Decision Management
13.6.7.4.6. Others
13.6.7.5. Benelux
Union Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Country
13.6.7.5.1. Belgium
13.6.7.5.2. The Netherlands
13.6.7.5.3. Luxembourg
13.6.8. Rest of
Europe
13.6.8.1. Rest
of Europe Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
13.6.8.1.1. Hardware
13.6.8.1.2. Software
13.6.8.1.3. Service
13.6.8.2. Rest
of Europe Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Application
13.6.8.2.1. Robot Assisted Surgery
13.6.8.2.2. Virtual Nursing Assistants
13.6.8.2.3. Administrative Workflow Assistance
13.6.8.2.4. Fraud Detection
13.6.8.2.5. Connected Machines
13.6.8.2.6. Clinical Trial
13.6.8.2.7. Preliminary Diagnosis
13.6.8.2.8. Others
13.6.8.3. Rest
of Europe Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
13.6.8.3.1. Healthcare Provider
13.6.8.3.2. Pharmaceutical and Biotechnology Company
13.6.8.3.3. Patient
13.6.8.3.4. Payer
13.6.8.3.5. Other
13.6.8.4. Rest
of Europe Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
13.6.8.4.1. Querying Method
13.6.8.4.2. Natural Language Processing
13.6.8.4.3. Context Aware Processing
13.6.8.4.4. Speech Recognition
13.6.8.4.5. Decision Management
13.6.8.4.6. Others
13.7. Key
Segment for Channeling Investments
13.7.1. By
Country
13.7.2. By
Component
13.7.3. By
Application
13.7.4. By
End-User
13.7.5. By
Technology
14. Asia Pacific Artificial Intelligence in Medicine Market
Analysis and Forecasts, 2019 - 2027
14.1. Overview
14.1.1. Asia
Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn)
14.2. Asia
Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
14.2.1. Hardware
14.2.2. Software
14.2.3. Service
14.3. Asia
Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
14.3.1. Robot
Assisted Surgery
14.3.2. Virtual
Nursing Assistants
14.3.3. Administrative
Workflow Assistance
14.3.4. Fraud
Detection
14.3.5. Connected
Machines
14.3.6. Clinical
Trial
14.3.7. Preliminary
Diagnosis
14.3.8. Others
14.4. Asia
Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
14.4.1. Healthcare
Provider
14.4.2. Pharmaceutical
and Biotechnology Company
14.4.3. Patient
14.4.4. Payer
14.4.5. Other
14.5. Asia
Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
14.5.1. Querying
Method
14.5.2. Natural
Language Processing
14.5.3. Context
Aware Processing
14.5.4. Speech
Recognition
14.5.5. Decision
Management
14.5.6. Others
14.6. Asia
Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Country
14.6.1. China
14.6.1.1. China
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
14.6.1.1.1. Hardware
14.6.1.1.2. Software
14.6.1.1.3. Service
14.6.1.2. China
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
14.6.1.2.1. Robot Assisted Surgery
14.6.1.2.2. Virtual Nursing Assistants
14.6.1.2.3. Administrative Workflow Assistance
14.6.1.2.4. Fraud Detection
14.6.1.2.5. Connected Machines
14.6.1.2.6. Clinical Trial
14.6.1.2.7. Preliminary Diagnosis
14.6.1.2.8. Others
14.6.1.3. China
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
14.6.1.3.1. Healthcare Provider
14.6.1.3.2. Pharmaceutical and Biotechnology Company
14.6.1.3.3. Patient
14.6.1.3.4. Payer
14.6.1.3.5. Other
14.6.1.4. China
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
14.6.1.4.1. Querying Method
14.6.1.4.2. Natural Language Processing
14.6.1.4.3. Context Aware Processing
14.6.1.4.4. Speech Recognition
14.6.1.4.5. Decision Management
14.6.1.4.6. Others
14.6.2. Japan
14.6.2.1. Japan
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
14.6.2.1.1. Hardware
14.6.2.1.2. Software
14.6.2.1.3. Service
14.6.2.2. Japan
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
14.6.2.2.1. Robot Assisted Surgery
14.6.2.2.2. Virtual Nursing Assistants
14.6.2.2.3. Administrative Workflow Assistance
14.6.2.2.4. Fraud Detection
14.6.2.2.5. Connected Machines
14.6.2.2.6. Clinical Trial
14.6.2.2.7. Preliminary Diagnosis
14.6.2.2.8. Others
14.6.2.3. Japan
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
14.6.2.3.1. Healthcare Provider
14.6.2.3.2. Pharmaceutical and Biotechnology Company
14.6.2.3.3. Patient
14.6.2.3.4. Payer
14.6.2.3.5. Other
14.6.2.4. Japan
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
14.6.2.4.1. Querying Method
14.6.2.4.2. Natural Language Processing
14.6.2.4.3. Context Aware Processing
14.6.2.4.4. Speech Recognition
14.6.2.4.5. Decision Management
14.6.2.4.6. Others
14.6.3. India
14.6.3.1. India
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
14.6.3.1.1. Hardware
14.6.3.1.2. Software
14.6.3.1.3. Service
14.6.3.2. India
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
14.6.3.2.1. Robot Assisted Surgery
14.6.3.2.2. Virtual Nursing Assistants
14.6.3.2.3. Administrative Workflow Assistance
14.6.3.2.4. Fraud Detection
14.6.3.2.5. Connected Machines
14.6.3.2.6. Clinical Trial
14.6.3.2.7. Preliminary Diagnosis
14.6.3.2.8. Others
14.6.3.3. India
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
14.6.3.3.1. Healthcare Provider
14.6.3.3.2. Pharmaceutical and Biotechnology Company
14.6.3.3.3. Patient
14.6.3.3.4. Payer
14.6.3.3.5. Other
14.6.3.4. India
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
14.6.3.4.1. Querying Method
14.6.3.4.2. Natural Language Processing
14.6.3.4.3. Context Aware Processing
14.6.3.4.4. Speech Recognition
14.6.3.4.5. Decision Management
14.6.3.4.6. Others
14.6.4. New Zealand
14.6.4.1. New
Zealand Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
14.6.4.1.1. Hardware
14.6.4.1.2. Software
14.6.4.1.3. Service
14.6.4.2. New
Zealand Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.4.2.1. Robot Assisted Surgery
14.6.4.2.2. Virtual Nursing Assistants
14.6.4.2.3. Administrative Workflow Assistance
14.6.4.2.4. Fraud Detection
14.6.4.2.5. Connected Machines
14.6.4.2.6. Clinical Trial
14.6.4.2.7. Preliminary Diagnosis
14.6.4.2.8. Others
14.6.4.3. New
Zealand Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
14.6.4.3.1. Healthcare Provider
14.6.4.3.2. Pharmaceutical and Biotechnology Company
14.6.4.3.3. Patient
14.6.4.3.4. Payer
14.6.4.3.5. Other
14.6.4.4. New
Zealand Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
14.6.4.4.1. Querying Method
14.6.4.4.2. Natural Language Processing
14.6.4.4.3. Context Aware Processing
14.6.4.4.4. Speech Recognition
14.6.4.4.5. Decision Management
14.6.4.4.6. Others
14.6.5. Australia
14.6.5.1. Australia
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
14.6.5.1.1. Hardware
14.6.5.1.2. Software
14.6.5.1.3. Service
14.6.5.2. Australia
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
14.6.5.2.1. Robot Assisted Surgery
14.6.5.2.2. Virtual Nursing Assistants
14.6.5.2.3. Administrative Workflow Assistance
14.6.5.2.4. Fraud Detection
14.6.5.2.5. Connected Machines
14.6.5.2.6. Clinical Trial
14.6.5.2.7. Preliminary Diagnosis
14.6.5.2.8. Others
14.6.5.3. Australia
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
14.6.5.3.1. Healthcare Provider
14.6.5.3.2. Pharmaceutical and Biotechnology Company
14.6.5.3.3. Patient
14.6.5.3.4. Payer
14.6.5.3.5. Other
14.6.5.4. Australia
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
14.6.5.4.1. Querying Method
14.6.5.4.2. Natural Language Processing
14.6.5.4.3. Context Aware Processing
14.6.5.4.4. Speech Recognition
14.6.5.4.5. Decision Management
14.6.5.4.6. Others
14.6.6. South
Korea
14.6.6.1. South
Korea Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
14.6.6.1.1. Hardware
14.6.6.1.2. Software
14.6.6.1.3. Service
14.6.6.2. South
Korea Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.6.2.1. Robot Assisted Surgery
14.6.6.2.2. Virtual Nursing Assistants
14.6.6.2.3. Administrative Workflow Assistance
14.6.6.2.4. Fraud Detection
14.6.6.2.5. Connected Machines
14.6.6.2.6. Clinical Trial
14.6.6.2.7. Preliminary Diagnosis
14.6.6.2.8. Others
14.6.6.3. South
Korea Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
14.6.6.3.1. Healthcare Provider
14.6.6.3.2. Pharmaceutical and Biotechnology Company
14.6.6.3.3. Patient
14.6.6.3.4. Payer
14.6.6.3.5. Other
14.6.6.4. South
Korea Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
14.6.6.4.1. Querying Method
14.6.6.4.2. Natural Language Processing
14.6.6.4.3. Context Aware Processing
14.6.6.4.4. Speech Recognition
14.6.6.4.5. Decision Management
14.6.6.4.6. Others
14.6.7. Southeast
Asia
14.6.7.1. Southeast
Asia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Component
14.6.7.1.1. Hardware
14.6.7.1.2. Software
14.6.7.1.3. Service
14.6.7.2. Southeast
Asia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Application
14.6.7.2.1. Robot Assisted Surgery
14.6.7.2.2. Virtual Nursing Assistants
14.6.7.2.3. Administrative Workflow Assistance
14.6.7.2.4. Fraud Detection
14.6.7.2.5. Connected Machines
14.6.7.2.6. Clinical Trial
14.6.7.2.7. Preliminary Diagnosis
14.6.7.2.8. Others
14.6.7.3. Southeast
Asia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By End-User
14.6.7.3.1. Healthcare Provider
14.6.7.3.2. Pharmaceutical and Biotechnology Company
14.6.7.3.3. Patient
14.6.7.3.4. Payer
14.6.7.3.5. Other
14.6.7.4. Southeast
Asia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Technology
14.6.7.4.1. Querying Method
14.6.7.4.2. Natural Language Processing
14.6.7.4.3. Context Aware Processing
14.6.7.4.4. Speech Recognition
14.6.7.4.5. Decision Management
14.6.7.4.6. Others
14.6.7.5. Southeast
Asia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Country
14.6.7.5.1. Indonesia
14.6.7.5.2. Thailand
14.6.7.5.3. Malaysia
14.6.7.5.4. Singapore
14.6.7.5.5. Rest of Southeast Asia
14.6.8. Rest of
Asia Pacific
14.6.8.1. Rest
of Asia Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
14.6.8.1.1. Hardware
14.6.8.1.2. Software
14.6.8.1.3. Service
14.6.8.2. Rest
of Asia Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
14.6.8.2.1. Robot Assisted Surgery
14.6.8.2.2. Virtual Nursing Assistants
14.6.8.2.3. Administrative Workflow Assistance
14.6.8.2.4. Fraud Detection
14.6.8.2.5. Connected Machines
14.6.8.2.6. Clinical Trial
14.6.8.2.7. Preliminary Diagnosis
14.6.8.2.8. Others
14.6.8.3. Rest
of Asia Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
14.6.8.3.1. Healthcare Provider
14.6.8.3.2. Pharmaceutical and Biotechnology Company
14.6.8.3.3. Patient
14.6.8.3.4. Payer
14.6.8.3.5. Other
14.6.8.4. Rest
of Asia Pacific Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
14.6.8.4.1. Querying Method
14.6.8.4.2. Natural Language Processing
14.6.8.4.3. Context Aware Processing
14.6.8.4.4. Speech Recognition
14.6.8.4.5. Decision Management
14.6.8.4.6. Others
14.7. Key
Segment for Channeling Investments
14.7.1. By
Country
14.7.2. By
Component
14.7.3. By
Application
14.7.4. By
End-User
14.7.5. By
Technology
15. Middle East and Africa Artificial Intelligence in Medicine
Market Analysis and Forecasts, 2019 - 2027
15.1. Overview
15.1.1. Middle
East and Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn)
15.2. Middle
East and Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
15.2.1. Hardware
15.2.2. Software
15.2.3. Service
15.3. Middle
East and Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
15.3.1. Robot
Assisted Surgery
15.3.2. Virtual
Nursing Assistants
15.3.3. Administrative
Workflow Assistance
15.3.4. Fraud
Detection
15.3.5. Connected
Machines
15.3.6. Clinical
Trial
15.3.7. Preliminary
Diagnosis
15.3.8. Others
15.4. Middle
East and Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
15.4.1. Healthcare
Provider
15.4.2. Pharmaceutical
and Biotechnology Company
15.4.3. Patient
15.4.4. Payer
15.4.5. Other
15.5. Middle
East and Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
15.5.1. Querying
Method
15.5.2. Natural
Language Processing
15.5.3. Context
Aware Processing
15.5.4. Speech
Recognition
15.5.5. Decision
Management
15.5.6. Others
15.6. Middle East
and Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Country
15.6.1. Saudi
Arabia
15.6.1.1. Saudi
Arabia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
15.6.1.1.1. Hardware
15.6.1.1.2. Software
15.6.1.1.3. Service
15.6.1.2. Saudi
Arabia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
15.6.1.2.1. Robot Assisted Surgery
15.6.1.2.2. Virtual Nursing Assistants
15.6.1.2.3. Administrative Workflow Assistance
15.6.1.2.4. Fraud Detection
15.6.1.2.5. Connected Machines
15.6.1.2.6. Clinical Trial
15.6.1.2.7. Preliminary Diagnosis
15.6.1.2.8. Others
15.6.1.3. Saudi
Arabia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
15.6.1.3.1. Healthcare Provider
15.6.1.3.2. Pharmaceutical and Biotechnology Company
15.6.1.3.3. Patient
15.6.1.3.4. Payer
15.6.1.3.5. Other
15.6.1.4. Saudi
Arabia Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Technology
15.6.1.4.1. Querying Method
15.6.1.4.2. Natural Language Processing
15.6.1.4.3. Context Aware Processing
15.6.1.4.4. Speech Recognition
15.6.1.4.5. Decision Management
15.6.1.4.6. Others
15.6.2. UAE
15.6.2.1. UAE
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
15.6.2.1.1. Hardware
15.6.2.1.2. Software
15.6.2.1.3. Service
15.6.2.2. UAE
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
15.6.2.2.1. Robot Assisted Surgery
15.6.2.2.2. Virtual Nursing Assistants
15.6.2.2.3. Administrative Workflow Assistance
15.6.2.2.4. Fraud Detection
15.6.2.2.5. Connected Machines
15.6.2.2.6. Clinical Trial
15.6.2.2.7. Preliminary Diagnosis
15.6.2.2.8. Others
15.6.2.3. UAE
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
15.6.2.3.1. Healthcare Provider
15.6.2.3.2. Pharmaceutical and Biotechnology Company
15.6.2.3.3. Patient
15.6.2.3.4. Payer
15.6.2.3.5. Other
15.6.2.4. UAE
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
15.6.2.4.1. Querying Method
15.6.2.4.2. Natural Language Processing
15.6.2.4.3. Context Aware Processing
15.6.2.4.4. Speech Recognition
15.6.2.4.5. Decision Management
15.6.2.4.6. Others
15.6.3. Egypt
15.6.3.1. Egypt
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
15.6.3.1.1. Hardware
15.6.3.1.2. Software
15.6.3.1.3. Service
15.6.3.2. Egypt
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
15.6.3.2.1. Robot Assisted Surgery
15.6.3.2.2. Virtual Nursing Assistants
15.6.3.2.3. Administrative Workflow Assistance
15.6.3.2.4. Fraud Detection
15.6.3.2.5. Connected Machines
15.6.3.2.6. Clinical Trial
15.6.3.2.7. Preliminary Diagnosis
15.6.3.2.8. Others
15.6.3.3. Egypt
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
15.6.3.3.1. Healthcare Provider
15.6.3.3.2. Pharmaceutical and Biotechnology Company
15.6.3.3.3. Patient
15.6.3.3.4. Payer
15.6.3.3.5. Other
15.6.3.4. Egypt
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
15.6.3.4.1. Querying Method
15.6.3.4.2. Natural Language Processing
15.6.3.4.3. Context Aware Processing
15.6.3.4.4. Speech Recognition
15.6.3.4.5. Decision Management
15.6.3.4.6. Others
15.6.4. Kuwait
15.6.4.1. Kuwait
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
15.6.4.1.1. Hardware
15.6.4.1.2. Software
15.6.4.1.3. Service
15.6.4.2. Kuwait
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
15.6.4.2.1. Robot Assisted Surgery
15.6.4.2.2. Virtual Nursing Assistants
15.6.4.2.3. Administrative Workflow Assistance
15.6.4.2.4. Fraud Detection
15.6.4.2.5. Connected Machines
15.6.4.2.6. Clinical Trial
15.6.4.2.7. Preliminary Diagnosis
15.6.4.2.8. Others
15.6.4.3. Kuwait
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
15.6.4.3.1. Healthcare Provider
15.6.4.3.2. Pharmaceutical and Biotechnology Company
15.6.4.3.3. Patient
15.6.4.3.4. Payer
15.6.4.3.5. Other
15.6.4.4. Kuwait
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
15.6.4.4.1. Querying Method
15.6.4.4.2. Natural Language Processing
15.6.4.4.3. Context Aware Processing
15.6.4.4.4. Speech Recognition
15.6.4.4.5. Decision Management
15.6.4.4.6. Others
15.6.5. South
Africa
15.6.5.1. South
Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts,
By Component
15.6.5.1.1. Hardware
15.6.5.1.2. Software
15.6.5.1.3. Service
15.6.5.2. South
Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
15.6.5.2.1. Robot Assisted Surgery
15.6.5.2.2. Virtual Nursing Assistants
15.6.5.2.3. Administrative Workflow Assistance
15.6.5.2.4. Fraud Detection
15.6.5.2.5. Connected Machines
15.6.5.2.6. Clinical Trial
15.6.5.2.7. Preliminary Diagnosis
15.6.5.2.8. Others
15.6.5.3. South
Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
15.6.5.3.1. Healthcare Provider
15.6.5.3.2. Pharmaceutical and Biotechnology Company
15.6.5.3.3. Patient
15.6.5.3.4. Payer
15.6.5.3.5. Other
15.6.5.4. South
Africa Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
15.6.5.4.1. Querying Method
15.6.5.4.2. Natural Language Processing
15.6.5.4.3. Context Aware Processing
15.6.5.4.4. Speech Recognition
15.6.5.4.5. Decision Management
15.6.5.4.6. Others
15.6.6. Rest of
Middle East & Africa
15.6.6.1. Rest
of Middle East & Africa Artificial Intelligence in Medicine Market Revenue
(US$ Mn) and Forecasts, By Component
15.6.6.1.1. Hardware
15.6.6.1.2. Software
15.6.6.1.3. Service
15.6.6.2. Rest
of Middle East & Africa Artificial Intelligence in Medicine Market Revenue
(US$ Mn) and Forecasts, By Application
15.6.6.2.1. Robot Assisted Surgery
15.6.6.2.2. Virtual Nursing Assistants
15.6.6.2.3. Administrative Workflow Assistance
15.6.6.2.4. Fraud Detection
15.6.6.2.5. Connected Machines
15.6.6.2.6. Clinical Trial
15.6.6.2.7. Preliminary Diagnosis
15.6.6.2.8. Others
15.6.6.3. Rest
of Middle East & Africa Artificial Intelligence in Medicine Market Revenue
(US$ Mn) and Forecasts, By End-User
15.6.6.3.1. Healthcare Provider
15.6.6.3.2. Pharmaceutical and Biotechnology Company
15.6.6.3.3. Patient
15.6.6.3.4. Payer
15.6.6.3.5. Other
15.6.6.4. Rest
of Middle East & Africa Artificial Intelligence in Medicine Market Revenue
(US$ Mn) and Forecasts, By Technology
15.6.6.4.1. Querying Method
15.6.6.4.2. Natural Language Processing
15.6.6.4.3. Context Aware Processing
15.6.6.4.4. Speech Recognition
15.6.6.4.5. Decision Management
15.6.6.4.6. Others
15.7. Key
Segment for Channeling Investments
15.7.1. By
Country
15.7.2. By
Component
15.7.3. By
Application
15.7.4. By
End-User
15.7.5. By
Technology
16. Latin America Artificial Intelligence in Medicine Market
Analysis and Forecasts, 2019 - 2027
16.1. Overview
16.1.1. Latin
America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
16.2. Latin
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Component
16.2.1. Hardware
16.2.2. Software
16.2.3. Service
16.3. Latin
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Application
16.3.1. Robot
Assisted Surgery
16.3.2. Virtual
Nursing Assistants
16.3.3. Administrative
Workflow Assistance
16.3.4. Fraud
Detection
16.3.5. Connected
Machines
16.3.6. Clinical
Trial
16.3.7. Preliminary
Diagnosis
16.3.8. Others
16.4. Latin
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By End-User
16.4.1. Healthcare
Provider
16.4.2. Pharmaceutical
and Biotechnology Company
16.4.3. Patient
16.4.4. Payer
16.4.5. Other
16.5. Latin
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Technology
16.5.1. Querying
Method
16.5.2. Natural
Language Processing
16.5.3. Context
Aware Processing
16.5.4. Speech
Recognition
16.5.5. Decision
Management
16.5.6. Others
16.6. Latin
America Artificial Intelligence in Medicine Market Revenue (US$ Mn) and
Forecasts, By Country
16.6.1. Brazil
16.6.1.1. Brazil
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
16.6.1.1.1. Hardware
16.6.1.1.2. Software
16.6.1.1.3. Service
16.6.1.2. Brazil
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
16.6.1.2.1. Robot Assisted Surgery
16.6.1.2.2. Virtual Nursing Assistants
16.6.1.2.3. Administrative Workflow Assistance
16.6.1.2.4. Fraud Detection
16.6.1.2.5. Connected Machines
16.6.1.2.6. Clinical Trial
16.6.1.2.7. Preliminary Diagnosis
16.6.1.2.8. Others
16.6.1.3. Brazil
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
16.6.1.3.1. Healthcare Provider
16.6.1.3.2. Pharmaceutical and Biotechnology Company
16.6.1.3.3. Patient
16.6.1.3.4. Payer
16.6.1.3.5. Other
16.6.1.4. Brazil
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
16.6.1.4.1. Querying Method
16.6.1.4.2. Natural Language Processing
16.6.1.4.3. Context Aware Processing
16.6.1.4.4. Speech Recognition
16.6.1.4.5. Decision Management
16.6.1.4.6. Others
16.6.2. Argentina
16.6.2.1. Argentina
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Component
16.6.2.1.1. Hardware
16.6.2.1.2. Software
16.6.2.1.3. Service
16.6.2.2. Argentina
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Application
16.6.2.2.1. Robot Assisted Surgery
16.6.2.2.2. Virtual Nursing Assistants
16.6.2.2.3. Administrative Workflow Assistance
16.6.2.2.4. Fraud Detection
16.6.2.2.5. Connected Machines
16.6.2.2.6. Clinical Trial
16.6.2.2.7. Preliminary Diagnosis
16.6.2.2.8. Others
16.6.2.3. Argentina
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
End-User
16.6.2.3.1. Healthcare Provider
16.6.2.3.2. Pharmaceutical and Biotechnology Company
16.6.2.3.3. Patient
16.6.2.3.4. Payer
16.6.2.3.5. Other
16.6.2.4. Argentina
Artificial Intelligence in Medicine Market Revenue (US$ Mn) and Forecasts, By
Technology
16.6.2.4.1. Querying Method
16.6.2.4.2. Natural Language Processing
16.6.2.4.3. Context Aware Processing
16.6.2.4.4. Speech Recognition
16.6.2.4.5. Decision Management
16.6.2.4.6. Others
16.6.3. Rest of
Latin America
16.6.3.1. Rest
of Latin America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By Component
16.6.3.1.1. Hardware
16.6.3.1.2. Software
16.6.3.1.3. Service
16.6.3.2. Rest
of Latin America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By Application
16.6.3.2.1. Robot Assisted Surgery
16.6.3.2.2. Virtual Nursing Assistants
16.6.3.2.3. Administrative Workflow Assistance
16.6.3.2.4. Fraud Detection
16.6.3.2.5. Connected Machines
16.6.3.2.6. Clinical Trial
16.6.3.2.7. Preliminary Diagnosis
16.6.3.2.8. Others
16.6.3.3. Rest
of Latin America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By End-User
16.6.3.3.1. Healthcare Provider
16.6.3.3.2. Pharmaceutical and Biotechnology Company
16.6.3.3.3. Patient
16.6.3.3.4. Payer
16.6.3.3.5. Other
16.6.3.4. Rest
of Latin America Artificial Intelligence in Medicine Market Revenue (US$ Mn)
and Forecasts, By Technology
16.6.3.4.1. Querying Method
16.6.3.4.2. Natural Language Processing
16.6.3.4.3. Context Aware Processing
16.6.3.4.4. Speech Recognition
16.6.3.4.5. Decision Management
16.6.3.4.6. Others
16.7. Key
Segment for Channeling Investments
16.7.1. By
Country
16.7.2. By
Component
16.7.3. By
Application
16.7.4. By
End-User
16.7.5. By
Technology
17. Competitive Benchmarking
17.1. Brand
Benchmarking
17.2. Market
Share Analysis, 2018
17.3. Global
Presence and Growth Strategies
17.3.1. Mergers
and Acquisitions
17.3.2. Product
Launches
17.3.3. Investments
Trends
17.3.4. R&D
Initiatives
18. Player Profiles
18.1. Bay Labs,
Inc
18.1.1. Company
Details
18.1.2. Company
Overview
18.1.3. Product
Offerings
18.1.4. Key
Developments
18.1.5. Financial
Analysis
18.1.6. SWOT
Analysis
18.1.7. Business
Strategies
18.2. CloudMedx
Inc.
18.2.1. Company
Details
18.2.2. Company
Overview
18.2.3. Product
Offerings
18.2.4. Key
Developments
18.2.5. Financial
Analysis
18.2.6. SWOT
Analysis
18.2.7. Business
Strategies
18.3. Enclitic
18.3.1. Company
Details
18.3.2. Company
Overview
18.3.3. Product
Offerings
18.3.4. Key
Developments
18.3.5. Financial
Analysis
18.3.6. SWOT
Analysis
18.3.7. Business
Strategies
18.4. General
Electric
18.4.1. Company
Details
18.4.2. Company
Overview
18.4.3. Product
Offerings
18.4.4. Key
Developments
18.4.5. Financial
Analysis
18.4.6. SWOT
Analysis
18.4.7. Business
Strategies
18.5. General
Vision
18.5.1. Company
Details
18.5.2. Company
Overview
18.5.3. Product
Offerings
18.5.4. Key
Developments
18.5.5. Financial
Analysis
18.5.6. SWOT
Analysis
18.5.7. Business
Strategies
18.6. Google
Inc
18.6.1. Company
Details
18.6.2. Company
Overview
18.6.3. Product
Offerings
18.6.4. Key
Developments
18.6.5. Financial
Analysis
18.6.6. SWOT
Analysis
18.6.7. Business
Strategies
18.7. IBM
Corporation
18.7.1. Company
Details
18.7.2. Company
Overview
18.7.3. Product
Offerings
18.7.4. Key Developments
18.7.5. Financial
Analysis
18.7.6. SWOT
Analysis
18.7.7. Business
Strategies
18.8. iCarbonX
18.8.1. Company
Details
18.8.2. Company
Overview
18.8.3. Product
Offerings
18.8.4. Key
Developments
18.8.5. Financial
Analysis
18.8.6. SWOT
Analysis
18.8.7. Business
Strategies
18.9. Koninklijke
Philips
18.9.1. Company
Details
18.9.2. Company
Overview
18.9.3. Product
Offerings
18.9.4. Key
Developments
18.9.5. Financial
Analysis
18.9.6. SWOT
Analysis
18.9.7. Business
Strategies
18.10. maxQ
18.10.1. Company
Details
18.10.2. Company
Overview
18.10.3. Product
Offerings
18.10.4. Key
Developments
18.10.5. Financial
Analysis
18.10.6. SWOT
Analysis
18.10.7. Business
Strategies
18.11. Microsoft
18.11.1. Company
Details
18.11.2. Company
Overview
18.11.3. Product
Offerings
18.11.4. Key
Developments
18.11.5. Financial
Analysis
18.11.6. SWOT
Analysis
18.11.7. Business
Strategies
18.12. Next IT
Corp
18.12.1. Company
Details
18.12.2. Company
Overview
18.12.3. Product
Offerings
18.12.4. Key
Developments
18.12.5. Financial
Analysis
18.12.6. SWOT
Analysis
18.12.7. Business
Strategies
18.13. Nvidia
Corporation
18.13.1. Company
Details
18.13.2. Company
Overview
18.13.3. Product
Offerings
18.13.4. Key
Developments
18.13.5. Financial
Analysis
18.13.6. SWOT
Analysis
18.13.7. Business
Strategies
18.14. Siemens
Healthcare GmbH
18.14.1. Company
Details
18.14.2. Company
Overview
18.14.3. Product
Offerings
18.14.4. Key
Developments
18.14.5. Financial
Analysis
18.14.6. SWOT
Analysis
18.14.7. Business
Strategies
18.15. Welltok
18.15.1. Company
Details
18.15.2. Company
Overview
18.15.3. Product
Offerings
18.15.4. Key
Developments
18.15.5. Financial
Analysis
18.15.6. SWOT
Analysis
18.15.7. Business
Strategies
18.16. Other
Market Participants
19. Key Findings
Note: This ToC is tentative and can
be changed according to the research study conducted during the course of
report completion.
**Exclusive for Multi-User and
Enterprise User.
At Absolute Markets Insights, we are engaged in building both global as well as country specific reports. As a result, the approach taken for deriving the estimation and forecast for a specific country is a bit unique and different in comparison to the global research studies. In this case, we not only study the concerned market factors & trends prevailing in a particular country (from secondary research) but we also tend to calculate the actual market size & forecast from the revenue generated from the market participants involved in manufacturing or distributing the any concerned product. These companies can also be service providers. For analyzing any country specifically, we do consider the growth factors prevailing under the states/cities/county for the same. For instance, if we are analyzing an industry specific to United States, we primarily need to study about the states present under the same(where the product/service has the highest growth). Similar analysis will be followed by other countries. Our scope of the report changes with different markets.
Our research study is mainly implement through a mix of both secondary and primary research. Various sources such as industry magazines, trade journals, and government websites and trade associations are reviewed for gathering precise data. Primary interviews are conducted to validate the market size derived from secondary research. Industry experts, major manufacturers and distributors are contacted for further validation purpose on the current market penetration and growth trends.
Prominent participants in our primary research process include:
- Key Opinion Leaders namely the CEOs, CSOs, VPs, purchasing managers, amongst others
- Research and development participants, distributors/suppliers and subject matter experts
Secondary Research includes data extracted from paid data sources:
- Reuters
- Factiva
- Bloomberg
- One Source
- Hoovers
Research Methodology
Key Inclusions
