Machine Learning Chips Market By Chip Type (GPU, ASIC, FPGA, CPU, Others); By Technology (System-On-Chip (SoC), System-In-Package (SIP), Multi-Chip Module, Others); By Industry (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive and transportation, Others); By Region (North America (U.S., Canada, Mexico)), (Europe (UK, Germany, France, Russia, Rest Of Europe)), (Asia-Pacific (China, Japan, India, Australia, Rest of Asia-Pacific)), LAMEA (Latin America, Middle East, Africa)); - Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2018 - 2026

Report ID :AMI-152 | Category : Information And Communication Technology | Published Date : December, 2018 | Pages : 325 | Format :PDF
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Industry Trends

Machine Learning is basically a vertical of Artificial Intelligence, and is related to the analysis of data volumes based on automated data models. The technology is gaining adoption across various fields for analysis of data and making related predictions. Machine learning primarily is based on the idea of creating analytical models based on learning from past behavior. As the machine learning market progresses, demand for machine learning chips would be impacted in a similar manner. However, machine learning chips for varying requirements, differ in their functionality and architecture. The manufacturers of these chips are focusing towards development of chips that are more efficient and responsive. Among the various types of machine learning chips being used, the GPU technology based chips are the most common. However, demand for FPGA (field programmable gate arrays) and ASIC (application-specific integrated circuits) technology based chips has been witnessing a notable rise.

Machine Learning Chips Market is expected to grow with a CAGR of 35.3% during the forecast period of 2018-2026. The study analyzes the market in terms of revenue and sales volume across all the major markets.

North America, Machine Learning Chips Sales, 2017 – 2026

Machine Learning Chips Market

Competitive Landscape

The report provides both qualitative and quantitative analysis of the machine learning chips market, as well as provides worthy insights into the rational scenario and favored development methods adopted by the key contenders. The report also offers extensive research on the key players in this market and detailed insights on the competitiveness of these players. The key business strategies such as mergers and acquisitions (M&A), affiliations, collaborations, and contracts adopted by the major players are also recognized and analyzed in the report. For each company, the report recognizes their headquarter, competitors, product type, application and specification, pricing, and gross margin.

Some of the players operating in the machine learning chips market are AMD (Advanced Micro Devices) (Advanced Micro Devices, Inc), Google, Inc., Intel Corporation, NVIDIA (NVIDIA Corporation), Baidu, Bitmain Technologies (BitMain Technologies Holding Company), Qualcomm (Qualcomm Technologies, Inc.), Amazon (Amazon.com, Inc.), Xilinx ( XILINX INC.), and Samsung among the others.

 


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1.    Introduction

1.1. Market Scope

1.2. Market Segmentation

1.3. Methodology

1.4. Assumptions

2.    Machine Learning Chips Market Snapshot

3.    Executive Summary: Machine Learning Chips Market

4.    Qualitative Analysis: Machine Learning Chips Market

4.1. Introduction

4.1.1.   Product Definition

4.1.2.   Industry Development

4.2. Market Dynamics

4.2.1.   Drivers

4.2.2.   Restraints

4.2.3.   Opportunities

4.3. Trends in Machine Learning Chips Market

5.    Global Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

5.1. Overview

5.1.1.   Global Machine Learning Chips Market Revenue (US$ Mn) and Forecasts

5.2. Global Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

5.2.1.   GPU

5.2.1.1.    Definition

5.2.1.2.    Market Penetration

5.2.1.3.    Market Revenue Expected to Increase by 2026

5.2.1.4.    Compound Annual Growth Rate (CAGR)

5.2.2.   ASIC

5.2.2.1.    Definition

5.2.2.2.    Market Penetration

5.2.2.3.    Market Revenue Expected to Increase by 2026

5.2.2.4.    Compound Annual Growth Rate (CAGR)

5.2.3.   FPGA

5.2.3.1.    Definition

5.2.3.2.    Market Penetration

5.2.3.3.    Market Revenue Expected to Increase by 2026

5.2.3.4.    Compound Annual Growth Rate (CAGR)

5.2.4.   CPU

5.2.4.1.    Definition

5.2.4.2.    Market Penetration

5.2.4.3.    Market Revenue Expected to Increase by 2026

5.2.4.4.    Compound Annual Growth Rate (CAGR)

5.2.5.   Others

5.2.5.1.    Definition

5.2.5.2.    Market Penetration

5.2.5.3.    Market Revenue Expected to Increase by 2026

5.2.5.4.    Compound Annual Growth Rate (CAGR)

5.3. Key Segment for Channeling Investments

5.3.1.   By Chips Type

6.    Global Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

6.1. Overview

6.2. Global Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

6.2.1.   System-On-Chip (SoC)

6.2.1.1.    Definition

6.2.1.2.    Market Penetration

6.2.1.3.    Market Revenue Expected to Increase by 2026

6.2.1.4.    Compound Annual Growth Rate (CAGR)

6.2.2.   System-In-Package (SIP)

6.2.2.1.    Definition

6.2.2.2.    Market Penetration

6.2.2.3.    Market Revenue Expected to Increase by 2026

6.2.2.4.    Compound Annual Growth Rate (CAGR)

6.2.3.   Multi-Chip Module

6.2.3.1.    Definition

6.2.3.2.    Market Penetration

6.2.3.3.    Market Revenue Expected to Increase by 2026

6.2.3.4.    Compound Annual Growth Rate (CAGR)

6.2.4.   Others

6.2.4.1.    Definition

6.2.4.2.    Market Penetration

6.2.4.3.    Market Revenue Expected to Increase by 2026

6.2.4.4.    Compound Annual Growth Rate (CAGR)

6.3. Key Segment for Channeling Investments

6.3.1.   By Technology


 

7.    Global Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

7.1. Overview

7.2. Global Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

7.2.1.   Media and Advertising

7.2.1.1.    Definition

7.2.1.2.    Market Penetration

7.2.1.3.    Market Revenue Expected to Increase by 2026

7.2.1.4.    Compound Annual Growth Rate (CAGR)

7.2.2.   BFSI

7.2.2.1.    Definition

7.2.2.2.    Market Penetration

7.2.2.3.    Market Revenue Expected to Increase by 2026

7.2.2.4.    Compound Annual Growth Rate (CAGR)

7.2.3.   IT and Telecom

7.2.3.1.    Definition

7.2.3.2.    Market Penetration

7.2.3.3.    Market Revenue Expected to Increase by 2026

7.2.3.4.    Compound Annual Growth Rate (CAGR)

7.2.4.   Retail

7.2.4.1.    Definition

7.2.4.2.    Market Penetration

7.2.4.3.    Market Revenue Expected to Increase by 2026

7.2.4.4.    Compound Annual Growth Rate (CAGR)

7.2.5.   Healthcare

7.2.5.1.    Definition

7.2.5.2.    Market Penetration

7.2.5.3.    Market Revenue Expected to Increase by 2026

7.2.5.4.    Compound Annual Growth Rate (CAGR)

7.2.6.   Automotive and Transportation

7.2.6.1.    Definition

7.2.6.2.    Market Penetration

7.2.6.3.    Market Revenue Expected to Increase by 2026

7.2.6.4.    Compound Annual Growth Rate (CAGR)

7.2.7.   Others

7.2.7.1.    Definition

7.2.7.2.    Market Penetration

7.2.7.3.    Market Revenue Expected to Increase by 2026

7.2.7.4.    Compound Annual Growth Rate (CAGR)

7.3. Key Segment for Channeling Investments

7.3.1.   By Industry

8.    North America Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

8.1. Overview

8.1.1.   North America Machine Learning Chips Market Revenue (US$ Mn)

8.2. North America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

8.2.1.   GPU

8.2.2.   ASIC

8.2.3.   FPGA

8.2.4.   CPU

8.2.5.   Others

8.3. North America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

8.3.1.   System-On-Chip (SoC)

8.3.2.   System-In-Package (SIP)

8.3.3.   Multi-Chip Module

8.3.4.   Others

8.4. North America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

8.4.1.   Media and Advertising

8.4.2.   BFSI

8.4.3.   IT and Telecom

8.4.4.   Retail

8.4.5.   Healthcare

8.4.6.   Automotive and Transportation

8.4.7.   Others

8.5. North America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Country

8.5.1.   U.S.

8.5.1.1.    U.S. Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

8.5.1.1.1.    GPU

8.5.1.1.2.    ASIC

8.5.1.1.3.    FPGA

8.5.1.1.4.    CPU

8.5.1.1.5.    Others

8.5.1.2.    U.S. Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

8.5.1.2.1.    System-On-Chip (SoC)

8.5.1.2.2.    System-In-Package (SIP)

8.5.1.2.3.    Multi-Chip Module

8.5.1.2.4.    Others

8.5.1.3.    U.S. Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

8.5.1.3.1.    Media and Advertising

8.5.1.3.2.    BFSI

8.5.1.3.3.    IT and Telecom

8.5.1.3.4.    Retail

8.5.1.3.5.    Healthcare

8.5.1.3.6.    Automotive and Transportation

8.5.1.3.7.    Others

8.5.2.   Rest of North America

8.5.2.1.    Rest of North America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

8.5.2.1.1.    GPU

8.5.2.1.2.    ASIC

8.5.2.1.3.    FPGA

8.5.2.1.4.    CPU

8.5.2.1.5.    Others

8.5.2.2.    Rest of North America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

8.5.2.2.1.    System-On-Chip (SoC)

8.5.2.2.2.    System-In-Package (SIP)

8.5.2.2.3.    Multi-Chip Module

8.5.2.2.4.    Others

8.5.2.3.    Rest of North America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

8.5.2.3.1.    Media and Advertising

8.5.2.3.2.    BFSI

8.5.2.3.3.    IT and Telecom

8.5.2.3.4.    Retail

8.5.2.3.5.    Healthcare

8.5.2.3.6.    Automotive and Transportation

8.5.2.3.7.    Others

8.6. Key Segment for Channeling Investments

8.6.1.   By Country

8.6.2.   By Chips Type

8.6.3.   By Technology

8.6.4.   By Industry

9.    Europe Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

9.1. Overview

9.1.1.   Europe Machine Learning Chips Market Revenue (US$ Mn)

9.2. Europe Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

9.2.1.   GPU

9.2.2.   ASIC

9.2.3.   FPGA

9.2.4.   CPU

9.2.5.   Others

9.3. Europe Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

9.3.1.   System-On-Chip (SoC)

9.3.2.   System-In-Package (SIP)

9.3.3.   Multi-Chip Module

9.3.4.   Others

9.4. Europe Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

9.4.1.   Media and Advertising

9.4.2.   BFSI

9.4.3.   IT and Telecom

9.4.4.   Retail

9.4.5.   Healthcare

9.4.6.   Automotive and Transportation

9.4.7.   Others

9.5. Europe Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Country

9.5.1.   France

9.5.1.1.    France Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

9.5.1.1.1.    GPU

9.5.1.1.2.    ASIC

9.5.1.1.3.    FPGA

9.5.1.1.4.    CPU

9.5.1.1.5.    Others

9.5.1.2.    France Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

9.5.1.2.1.    System-On-Chip (SoC)

9.5.1.2.2.    System-In-Package (SIP)

9.5.1.2.3.    Multi-Chip Module

9.5.1.2.4.    Others

9.5.1.3.    France Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

9.5.1.3.1.    Media and Advertising

9.5.1.3.2.    BFSI

9.5.1.3.3.    IT and Telecom

9.5.1.3.4.    Retail

9.5.1.3.5.    Healthcare

9.5.1.3.6.    Automotive and Transportation

9.5.1.3.7.    Others

9.5.2.   The UK

9.5.2.1.    The UK Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

9.5.2.1.1.    GPU

9.5.2.1.2.    ASIC

9.5.2.1.3.    FPGA

9.5.2.1.4.    CPU

9.5.2.1.5.    Others

9.5.2.2.    The UK Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

9.5.2.2.1.    System-On-Chip (SoC)

9.5.2.2.2.    System-In-Package (SIP)

9.5.2.2.3.    Multi-Chip Module

9.5.2.2.4.    Others

9.5.2.3.    The UK Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

9.5.2.3.1.    Media and Advertising

9.5.2.3.2.    BFSI

9.5.2.3.3.    IT and Telecom

9.5.2.3.4.    Retail

9.5.2.3.5.    Healthcare

9.5.2.3.6.    Automotive and Transportation

9.5.2.3.7.    Others

9.5.3.   Spain

9.5.3.1.    Spain Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

9.5.3.1.1.    GPU

9.5.3.1.2.    ASIC

9.5.3.1.3.    FPGA

9.5.3.1.4.    CPU

9.5.3.1.5.    Others

9.5.3.2.    Spain Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

9.5.3.2.1.    System-On-Chip (SoC)

9.5.3.2.2.    System-In-Package (SIP)

9.5.3.2.3.    Multi-Chip Module

9.5.3.2.4.    Others

9.5.3.3.    Spain Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

9.5.3.3.1.    Media and Advertising

9.5.3.3.2.    BFSI

9.5.3.3.3.    IT and Telecom

9.5.3.3.4.    Retail

9.5.3.3.5.    Healthcare

9.5.3.3.6.    Automotive and Transportation

9.5.3.3.7.    Others

9.5.4.   Germany

9.5.4.1.    Germany Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

9.5.4.1.1.    GPU

9.5.4.1.2.    ASIC

9.5.4.1.3.    FPGA

9.5.4.1.4.    CPU

9.5.4.1.5.    Others

9.5.4.2.    Germany Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

9.5.4.2.1.    System-On-Chip (SoC)

9.5.4.2.2.    System-In-Package (SIP)

9.5.4.2.3.    Multi-Chip Module

9.5.4.2.4.    Others

9.5.4.3.    Germany Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

9.5.4.3.1.    Media and Advertising

9.5.4.3.2.    BFSI

9.5.4.3.3.    IT and Telecom

9.5.4.3.4.    Retail

9.5.4.3.5.    Healthcare

9.5.4.3.6.    Automotive and Transportation

9.5.4.3.7.    Others

9.5.5.   Italy

9.5.5.1.    Italy Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

9.5.5.1.1.    GPU

9.5.5.1.2.    ASIC

9.5.5.1.3.    FPGA

9.5.5.1.4.    CPU

9.5.5.1.5.    Others

9.5.5.2.    Italy Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

9.5.5.2.1.    System-On-Chip (SoC)

9.5.5.2.2.    System-In-Package (SIP)

9.5.5.2.3.    Multi-Chip Module

9.5.5.2.4.    Others

9.5.5.3.    Italy Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

9.5.5.3.1.    Media and Advertising

9.5.5.3.2.    BFSI

9.5.5.3.3.    IT and Telecom

9.5.5.3.4.    Retail

9.5.5.3.5.    Healthcare

9.5.5.3.6.    Automotive and Transportation

9.5.5.3.7.    Others

9.5.6.   Rest of Europe

9.5.6.1.    Rest of Europe Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

9.5.6.1.1.    GPU

9.5.6.1.2.    ASIC

9.5.6.1.3.    FPGA

9.5.6.1.4.    CPU

9.5.6.1.5.    Others

9.5.6.2.    Rest of Europe Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

9.5.6.2.1.    System-On-Chip (SoC)

9.5.6.2.2.    System-In-Package (SIP)

9.5.6.2.3.    Multi-Chip Module

9.5.6.2.4.    Others

9.5.6.3.    Rest of Europe Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

9.5.6.3.1.    Media and Advertising

9.5.6.3.2.    BFSI

9.5.6.3.3.    IT and Telecom

9.5.6.3.4.    Retail

9.5.6.3.5.    Healthcare

9.5.6.3.6.    Automotive and Transportation

9.5.6.3.7.    Others

9.6. Key Segment for Channeling Investments

9.6.1.   By Country

9.6.2.   By Chips Type

9.6.3.   By Technology

9.6.4.   By Industry

10. Asia Pacific Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

10.1. Overview

10.1.1. Asia Pacific Machine Learning Chips Market Revenue (US$ Mn)

10.2. Asia Pacific Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

10.2.1. GPU

10.2.2. ASIC

10.2.3. FPGA

10.2.4. CPU

10.2.5. Others

10.3. Asia Pacific Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

10.3.1. System-On-Chip (SoC)

10.3.2. System-In-Package (SIP)

10.3.3. Multi-Chip Module

10.3.4. Others

10.4. Asia Pacific Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

10.4.1. Media and Advertising

10.4.2. BFSI

10.4.3. IT and Telecom

10.4.4. Retail

10.4.5. Healthcare

10.4.6. Automotive and Transportation

10.4.7. Others

10.5. Asia Pacific Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Country

10.5.1. China

10.5.1.1.  China Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

10.5.1.1.1.  GPU

10.5.1.1.2.  ASIC

10.5.1.1.3.  FPGA

10.5.1.1.4.  CPU

10.5.1.1.5.  Others

10.5.1.2.  China Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

10.5.1.2.1.  System-On-Chip (SoC)

10.5.1.2.2.  System-In-Package (SIP)

10.5.1.2.3.  Multi-Chip Module

10.5.1.2.4.  Others

10.5.1.3.  China Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

10.5.1.3.1.  Media and Advertising

10.5.1.3.2.  BFSI

10.5.1.3.3.  IT and Telecom

10.5.1.3.4.  Retail

10.5.1.3.5.  Healthcare

10.5.1.3.6.  Automotive and Transportation

10.5.1.3.7.  Others

10.5.2. Japan

10.5.2.1.  Japan Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

10.5.2.1.1.  GPU

10.5.2.1.2.  ASIC

10.5.2.1.3.  FPGA

10.5.2.1.4.  CPU

10.5.2.1.5.  Others

10.5.2.2.  Japan Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

10.5.2.2.1.  System-On-Chip (SoC)

10.5.2.2.2.  System-In-Package (SIP)

10.5.2.2.3.  Multi-Chip Module

10.5.2.2.4.  Others

10.5.2.3.  Japan Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

10.5.2.3.1.  Media and Advertising

10.5.2.3.2.  BFSI

10.5.2.3.3.  IT and Telecom

10.5.2.3.4.  Retail

10.5.2.3.5.  Healthcare

10.5.2.3.6.  Automotive and Transportation

10.5.2.3.7.  Others

10.5.3. India

10.5.3.1.  India Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

10.5.3.1.1.  GPU

10.5.3.1.2.  ASIC

10.5.3.1.3.  FPGA

10.5.3.1.4.  CPU

10.5.3.1.5.  Others

10.5.3.2.  India Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

10.5.3.2.1.  System-On-Chip (SoC)

10.5.3.2.2.  System-In-Package (SIP)

10.5.3.2.3.  Multi-Chip Module

10.5.3.2.4.  Others

10.5.3.3.  India Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

10.5.3.3.1.  Media and Advertising

10.5.3.3.2.  BFSI

10.5.3.3.3.  IT and Telecom

10.5.3.3.4.  Retail

10.5.3.3.5.  Healthcare

10.5.3.3.6.  Automotive and Transportation

10.5.3.3.7.  Others

10.5.4. Southeast Asia

10.5.4.1.  Southeast Asia Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

10.5.4.1.1.  GPU

10.5.4.1.2.  ASIC

10.5.4.1.3.  FPGA

10.5.4.1.4.  CPU

10.5.4.1.5.  Others

10.5.4.2.  Southeast Asia Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

10.5.4.2.1.  System-On-Chip (SoC)

10.5.4.2.2.  System-In-Package (SIP)

10.5.4.2.3.  Multi-Chip Module

10.5.4.2.4.  Others

10.5.4.3.  Southeast Asia Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

10.5.4.3.1.  Media and Advertising

10.5.4.3.2.  BFSI

10.5.4.3.3.  IT and Telecom

10.5.4.3.4.  Retail

10.5.4.3.5.  Healthcare

10.5.4.3.6.  Automotive and Transportation

10.5.4.3.7.  Others

10.5.5. Rest of Asia Pacific

10.5.5.1.  Rest of Asia Pacific Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

10.5.5.1.1.  GPU

10.5.5.1.2.  ASIC

10.5.5.1.3.  FPGA

10.5.5.1.4.  CPU

10.5.5.1.5.  Others

10.5.5.2.  Rest of Asia Pacific Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

10.5.5.2.1.  System-On-Chip (SoC)

10.5.5.2.2.  System-In-Package (SIP)

10.5.5.2.3.  Multi-Chip Module

10.5.5.2.4.  Others

10.5.5.3.  Rest of Asia Pacific Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

10.5.5.3.1.  Media and Advertising

10.5.5.3.2.  BFSI

10.5.5.3.3.  IT and Telecom

10.5.5.3.4.  Retail

10.5.5.3.5.  Healthcare

10.5.5.3.6.  Automotive and Transportation

10.5.5.3.7.  Others

10.6. Key Segment for Channeling Investments

10.6.1. By Country

10.6.2. By Chips Type

10.6.3. By Technology

10.6.4. By Industry

11. Middle East and Africa Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

11.1. Overview

11.1.1. Middle East and Africa Machine Learning Chips Market Revenue (US$ Mn)

11.2. Middle East and Africa Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

11.2.1. GPU

11.2.2. ASIC

11.2.3. FPGA

11.2.4. CPU

11.2.5. Others

11.3. Middle East and Africa Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

11.3.1. System-On-Chip (SoC)

11.3.2. System-In-Package (SIP)

11.3.3. Multi-Chip Module

11.3.4. Others

11.4. Middle East and Africa Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

11.4.1. Media and Advertising

11.4.2. BFSI

11.4.3. IT and Telecom

11.4.4. Retail

11.4.5. Healthcare

11.4.6. Automotive and Transportation

11.4.7. Others

11.5. Middle East and Africa Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Country

11.5.1. GCC Countries

11.5.1.1.  GCC Countries Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

11.5.1.1.1.  GPU

11.5.1.1.2.  ASIC

11.5.1.1.3.  FPGA

11.5.1.1.4.  CPU

11.5.1.1.5.  Others

11.5.1.2.  GCC Countries Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

11.5.1.2.1.  System-On-Chip (SoC)

11.5.1.2.2.  System-In-Package (SIP)

11.5.1.2.3.  Multi-Chip Module

11.5.1.2.4.  Others

11.5.1.3.  GCC Countries Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

11.5.1.3.1.  Media and Advertising

11.5.1.3.2.  BFSI

11.5.1.3.3.  IT and Telecom

11.5.1.3.4.  Retail

11.5.1.3.5.  Healthcare

11.5.1.3.6.  Automotive and Transportation

11.5.1.3.7.  Others

11.5.2. Southern Africa

11.5.2.1.  Southern Africa Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

11.5.2.1.1.  GPU

11.5.2.1.2.  ASIC

11.5.2.1.3.  FPGA

11.5.2.1.4.  CPU

11.5.2.1.5.  Others

11.5.2.2.  Southern Africa Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

11.5.2.2.1.  System-On-Chip (SoC)

11.5.2.2.2.  System-In-Package (SIP)

11.5.2.2.3.  Multi-Chip Module

11.5.2.2.4.  Others

11.5.2.3.  Southern Africa Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

11.5.2.3.1.  Media and Advertising

11.5.2.3.2.  BFSI

11.5.2.3.3.  IT and Telecom

11.5.2.3.4.  Retail

11.5.2.3.5.  Healthcare

11.5.2.3.6.  Automotive and Transportation

11.5.2.3.7.  Others

11.5.3. Rest of MEA

11.5.3.1.  Rest of MEA Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

11.5.3.1.1.  GPU

11.5.3.1.2.  ASIC

11.5.3.1.3.  FPGA

11.5.3.1.4.  CPU

11.5.3.1.5.  Others

11.5.3.2.  Rest of MEA Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

11.5.3.2.1.  System-On-Chip (SoC)

11.5.3.2.2.  System-In-Package (SIP)

11.5.3.2.3.  Multi-Chip Module

11.5.3.2.4.  Others

11.5.3.3.  Rest of MEA Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

11.5.3.3.1.  Media and Advertising

11.5.3.3.2.  BFSI

11.5.3.3.3.  IT and Telecom

11.5.3.3.4.  Retail

11.5.3.3.5.  Healthcare

11.5.3.3.6.  Automotive and Transportation

11.5.3.3.7.  Others

11.6. Key Segment for Channeling Investments

11.6.1. By Country

11.6.2. By Chips Type

11.6.3. By Technology

11.6.4. By Industry

12. Latin America Machine Learning Chips Market Analysis and Forecasts, 2018 – 2026

12.1. Overview

12.1.1. Latin America Machine Learning Chips Market Revenue (US$ Mn)

12.2. Latin America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

12.2.1. GPU

12.2.2. ASIC

12.2.3. FPGA

12.2.4. CPU

12.2.5. Others

12.3. Latin America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

12.3.1. System-On-Chip (SoC)

12.3.2. System-In-Package (SIP)

12.3.3. Multi-Chip Module

12.3.4. Others

12.4. Latin America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

12.4.1. Media and Advertising

12.4.2. BFSI

12.4.3. IT and Telecom

12.4.4. Retail

12.4.5. Healthcare

12.4.6. Automotive and Transportation

12.4.7. Others

12.5. Latin America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Country

12.5.1. Brazil

12.5.1.1.  Brazil Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

12.5.1.1.1.  GPU

12.5.1.1.2.  ASIC

12.5.1.1.3.  FPGA

12.5.1.1.4.  CPU

12.5.1.1.5.  Others

12.5.1.2.  Brazil Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

12.5.1.2.1.  System-On-Chip (SoC)

12.5.1.2.2.  System-In-Package (SIP)

12.5.1.2.3.  Multi-Chip Module

12.5.1.2.4.  Others

12.5.1.3.  Brazil Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

12.5.1.3.1.  Media and Advertising

12.5.1.3.2.  BFSI

12.5.1.3.3.  IT and Telecom

12.5.1.3.4.  Retail

12.5.1.3.5.  Healthcare

12.5.1.3.6.  Automotive and Transportation

12.5.1.3.7.  Others

12.5.2. Rest of Latin America

12.5.2.1.  Rest of Latin America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Chips Type

12.5.2.1.1.  GPU

12.5.2.1.2.  ASIC

12.5.2.1.3.  FPGA

12.5.2.1.4.  CPU

12.5.2.1.5.  Others

12.5.2.2.  Rest of Latin America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Technology

12.5.2.2.1.  System-On-Chip (SoC)

12.5.2.2.2.  System-In-Package (SIP)

12.5.2.2.3.  Multi-Chip Module

12.5.2.2.4.  Others

12.5.2.3.  Rest of Latin America Machine Learning Chips Market Revenue (US$ Mn) and Forecasts, By Industry

12.5.2.3.1.  Media and Advertising

12.5.2.3.2.  BFSI

12.5.2.3.3.  IT and Telecom

12.5.2.3.4.  Retail

12.5.2.3.5.  Healthcare

12.5.2.3.6.  Automotive and Transportation

12.5.2.3.7.  Others

12.6. Key Segment for Channeling Investments

12.6.1. By Country

12.6.2. By Chips Type

12.6.3. By Technology

12.6.4. By Industry

13. Competitive Benchmarking

13.1. Player Positioning Analysis

13.2. Global Presence and Growth Strategies

14. Player Profiles

14.1. Advanced Micro Devices, Inc

14.1.1. Company Details

14.1.2. Company Overview

14.1.3. Product Offerings

14.1.4. Key Developments

14.1.5. Financial Analysis

14.1.6. SWOT Analysis

14.1.7. Business Strategies

14.2. Google, Inc

14.2.1. Company Details

14.2.2. Company Overview

14.2.3. Product Offerings

14.2.4. Key Developments

14.2.5. Financial Analysis

14.2.6. SWOT Analysis

14.2.7. Business Strategies

14.3. Intel Corporation

14.3.1. Company Details

14.3.2. Company Overview

14.3.3. Product Offerings

14.3.4. Key Developments

14.3.5. Financial Analysis

14.3.6. SWOT Analysis

14.3.7. Business Strategies

14.4. NVIDIA Corporation

14.4.1. Company Details

14.4.2. Company Overview

14.4.3. Product Offerings

14.4.4. Key Developments

14.4.5. Financial Analysis

14.4.6. SWOT Analysis

14.4.7. Business Strategies

14.5. Baidu

14.5.1. Company Details

14.5.2. Company Overview

14.5.3. Product Offerings

14.5.4. Key Developments

14.5.5. Financial Analysis

14.5.6. SWOT Analysis

14.5.7. Business Strategies

14.6. BitMain Technologies Holding Company

14.6.1. Company Details

14.6.2. Company Overview

14.6.3. Product Offerings

14.6.4. Key Developments

14.6.5. Financial Analysis

14.6.6. SWOT Analysis

14.6.7. Business Strategies

14.7. Qualcomm Technologies, Inc.

14.7.1. Company Details

14.7.2. Company Overview

14.7.3. Product Offerings

14.7.4. Key Developments

14.7.5. Financial Analysis

14.7.6. SWOT Analysis

14.7.7. Business Strategies

14.8. Amazon.com, Inc.

14.8.1. Company Details

14.8.2. Company Overview

14.8.3. Product Offerings

14.8.4. Key Developments

14.8.5. Financial Analysis

14.8.6. SWOT Analysis

14.8.7. Business Strategies

14.9. XILINX INC.

14.9.1. Company Details

14.9.2. Company Overview

14.9.3. Product Offerings

14.9.4. Key Developments

14.9.5. Financial Analysis

14.9.6. SWOT Analysis

14.9.7. Business Strategies

14.10. SAMSUNG

14.10.1. Company Details

14.10.2. Company Overview

14.10.3. Product Offerings

14.10.4. Key Developments

14.10.5. Financial Analysis

14.10.6. SWOT Analysis

14.10.7. Business Strategies

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

Methodology

Key Inclusions

Methodology

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