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
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
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.
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
Key Inclusions
