Machine Learning Processor Market - Forecasts from 2019 to 2024
The machine learning processor market is estimated to be valued at US$3,206.308 million in 2018 and will grow at a CAGR of 20.36% to reach market size of US$9,749.215 million by 2024. The demand for these processors is increasing on account of the proliferation of IoT devices and the trend towards big data. Major vendors are increasing their research and development expenditure so as to introduce new and updated products to occupy a larger market share. This will further boost the demand for these processors. Geographically, North America and Europe held a significant market share owing to the trend toward automation and increasing expenditure on connected cars. North America will remain one of the most attractive markets over the forecast period.
The Machine Learning Processor Market – Forecasts from 2019 to 2024 is an exhaustive study that aims to present the key market trends through various chapters focusing on different aspects of the market. The study provides a detailed market overview through the market dynamics sections which detail key market, drivers, restraints, and opportunities in the current market. The report analyzes key opportunity regional markets, and the current technology penetration through lifecycle analysis. The report also analyzes the market through comprehensive market segmentation by type, component, end-user industry, and geography.
The machine learning processor market has been segmented based on type, component, end-user industry, and geography. By type, the market has been segmented on the basis of FPGA, ASIC, GPU, CPU, and others. By component, the market has been segmented into hardware and software. By end-user industry, the market has been divided into BFSI, communication and technology, automotive, retail, and others.
Regional analysis has been provided with detailed analysis and forecast for the period 2018 to 2024. The global market has been broken down into North America, South America, Europe, Middle East and Africa (MEA), and the Asia Pacific regions. The report also analyzes 15 countries across these regions with thorough analysis and forecast along with prevailing market trends and opportunities which each of these countries present for the manufacturers.
Major players in the machine learning processor market have been covered along with their relative competitive position and strategies. The report also mentions recent deals and investments of different market players over the last year. The company profiles section details the business overview, financial performance for the past three years, key products and services being offered along with the recent developments of these important players in the machine learning processor market.
Segmentation
The machine learning processor market has been segmented by type, component, end-user industry, and geography.
The Machine Learning Processor Market – Forecasts from 2019 to 2024 is an exhaustive study that aims to present the key market trends through various chapters focusing on different aspects of the market. The study provides a detailed market overview through the market dynamics sections which detail key market, drivers, restraints, and opportunities in the current market. The report analyzes key opportunity regional markets, and the current technology penetration through lifecycle analysis. The report also analyzes the market through comprehensive market segmentation by type, component, end-user industry, and geography.
The machine learning processor market has been segmented based on type, component, end-user industry, and geography. By type, the market has been segmented on the basis of FPGA, ASIC, GPU, CPU, and others. By component, the market has been segmented into hardware and software. By end-user industry, the market has been divided into BFSI, communication and technology, automotive, retail, and others.
Regional analysis has been provided with detailed analysis and forecast for the period 2018 to 2024. The global market has been broken down into North America, South America, Europe, Middle East and Africa (MEA), and the Asia Pacific regions. The report also analyzes 15 countries across these regions with thorough analysis and forecast along with prevailing market trends and opportunities which each of these countries present for the manufacturers.
Major players in the machine learning processor market have been covered along with their relative competitive position and strategies. The report also mentions recent deals and investments of different market players over the last year. The company profiles section details the business overview, financial performance for the past three years, key products and services being offered along with the recent developments of these important players in the machine learning processor market.
Segmentation
The machine learning processor market has been segmented by type, component, end-user industry, and geography.
- By Type
- FPGA
- ASIC
- GPU
- CPU
- Others
- By Component
- Hardware
- Software
- By End-User Industry
- BFSI
- Communication and Technology
- Automotive
- Retail
- Others
- By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Others
- Middle East and Africa
- Saudi Arabia
- Israel
- Others
- Asia Pacific
- China
- Japan
- South Korea
- India
- Others
1. INTRODUCTION
1.1. Market Definition
1.2. Market Segmentation
2. RESEARCH METHODOLOGY
2.1. Research Data
2.2. Assumptions
3. EXECUTIVE SUMMARY
3.1. Research Highlights
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porters Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY TYPE
5.1. Introduction
5.2. FPGA
5.3. ASIC
5.4. GPU
5.5. CPU
5.6. Others
6. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY COMPONENT
6.1. Introduction
6.2. Hardware
6.3. Software
7. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY END-USER INDUSTRY
7.1. Introduction
7.2. BFSI
7.3. Communication and Technology
7.4. Automotive
7.5. Retail
7.6. Others
8. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. North America Machine Learning Processor Market, By Type, 2018 to 2024
8.2.2. North America Machine Learning Processor Market, By Component, 2018 to 2024
8.2.3. North America Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.2.4. By Country
8.2.4.1. United States
8.2.4.1.1. By Type
8.2.4.1.2. By Component
8.2.4.1.3. By End-User Industry
8.2.4.2. Canada
8.2.4.2.1. By Type
8.2.4.2.2. By Component
8.2.4.2.3. By End-User Industry
8.2.4.3. Mexico
8.2.4.3.1. By Type
8.2.4.3.2. By Component
8.2.4.3.3. By End-User Industry
8.3. South America
8.3.1. South America Machine Learning Processor Market, By Type, 2018 to 2024
8.3.2. South America Machine Learning Processor Market, By Component, 2018 to 2024
8.3.3. South America Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.3.4. By Country
8.3.4.1. Brazil
8.3.4.1.1. By Type
8.3.4.1.2. By Component
8.3.4.1.3. By End-User Industry
8.3.4.2. Argentina
8.3.4.2.1. By Type
8.3.4.2.2. By Component
8.3.4.2.3. By End-User Industry
8.3.4.3. Others
8.4. Europe
8.4.1. Europe Machine Learning Processor Market, By Type, 2018 to 2024
8.4.2. Europe Machine Learning Processor Market, By Component, 2018 to 2024
8.4.3. Europe Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.4.4. By Country
8.4.4.1. Germany
8.4.4.1.1. By Type
8.4.4.1.2. By Component
8.4.4.1.3. By End-User Industry
8.4.4.2. France
8.4.4.2.1. By Type
8.4.4.2.2. By Component
8.4.4.2.3. By End-User Industry
8.4.4.3. United Kingdom
8.4.4.3.1. By Type
8.4.4.3.2. By Component
8.4.4.3.3. By End-User Industry
8.4.4.4. Italy
8.4.4.4.1. By Type
8.4.4.4.2. By Component
8.4.4.4.3. By End-User Industry
8.4.4.5. Others
8.5. Middle East and Africa
8.5.1. Middle East and Africa Machine Learning Processor Market, By Type, 2018 to 2024
8.5.2. Middle East and Africa Machine Learning Processor Market, By Component, 2018 to 2024
8.5.3. Middle East and Africa Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.5.4. By Country
8.5.4.1. Saudi Arabia
8.5.4.1.1. By Type
8.5.4.1.2. By Component
8.5.4.1.3. By End-User Industry
8.5.4.2. Israel
8.5.4.2.1. By Type
8.5.4.2.2. By Component
8.5.4.2.3. By End-User Industry
8.5.4.3. Others
8.6. Asia Pacific
8.6.1. Asia Pacific Machine Learning Processor Market, By Type, 2018 to 2024
8.6.2. Asia Pacific Machine Learning Processor Market, By Component, 2018 to 2024
8.6.3. Asia Pacific Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.6.4. By Country
8.6.4.1. China
8.6.4.1.1. By Type
8.6.4.1.2. By Component
8.6.4.1.3. By End-User Industry
8.6.4.2. Japan
8.6.4.2.1. By Type
8.6.4.2.2. By Component
8.6.4.2.3. By End-User Industry
8.6.4.3. South Korea
8.6.4.3.1. By Type
8.6.4.3.2. By Component
8.6.4.3.3. By End-User Industry
8.6.4.4. India
8.6.4.4.1. By Type
8.6.4.4.2. By Component
8.6.4.4.3. By End-User Industry
8.6.4.5. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Emerging Players and Market Lucrativeness
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Vendor Competitiveness Matrix
10. COMPANY PROFILES
10.1. NVIDIA Corporation
10.2. Arm Limited
10.3. Advanced Micro Devices, Inc.
10.4. Google LLC (Subsidiary of Alphabet, Inc.)
10.5. Graphcore
10.6. eSilicon Corporation
10.7. Intel Corporation
10.8. Xilinx, Inc.
10.9. Cambricon Technologies Corporation, Ltd.
11. APPENDIX
1.1. Market Definition
1.2. Market Segmentation
2. RESEARCH METHODOLOGY
2.1. Research Data
2.2. Assumptions
3. EXECUTIVE SUMMARY
3.1. Research Highlights
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porters Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY TYPE
5.1. Introduction
5.2. FPGA
5.3. ASIC
5.4. GPU
5.5. CPU
5.6. Others
6. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY COMPONENT
6.1. Introduction
6.2. Hardware
6.3. Software
7. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY END-USER INDUSTRY
7.1. Introduction
7.2. BFSI
7.3. Communication and Technology
7.4. Automotive
7.5. Retail
7.6. Others
8. MACHINE LEARNING PROCESSOR MARKET ANALYSIS, BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. North America Machine Learning Processor Market, By Type, 2018 to 2024
8.2.2. North America Machine Learning Processor Market, By Component, 2018 to 2024
8.2.3. North America Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.2.4. By Country
8.2.4.1. United States
8.2.4.1.1. By Type
8.2.4.1.2. By Component
8.2.4.1.3. By End-User Industry
8.2.4.2. Canada
8.2.4.2.1. By Type
8.2.4.2.2. By Component
8.2.4.2.3. By End-User Industry
8.2.4.3. Mexico
8.2.4.3.1. By Type
8.2.4.3.2. By Component
8.2.4.3.3. By End-User Industry
8.3. South America
8.3.1. South America Machine Learning Processor Market, By Type, 2018 to 2024
8.3.2. South America Machine Learning Processor Market, By Component, 2018 to 2024
8.3.3. South America Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.3.4. By Country
8.3.4.1. Brazil
8.3.4.1.1. By Type
8.3.4.1.2. By Component
8.3.4.1.3. By End-User Industry
8.3.4.2. Argentina
8.3.4.2.1. By Type
8.3.4.2.2. By Component
8.3.4.2.3. By End-User Industry
8.3.4.3. Others
8.4. Europe
8.4.1. Europe Machine Learning Processor Market, By Type, 2018 to 2024
8.4.2. Europe Machine Learning Processor Market, By Component, 2018 to 2024
8.4.3. Europe Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.4.4. By Country
8.4.4.1. Germany
8.4.4.1.1. By Type
8.4.4.1.2. By Component
8.4.4.1.3. By End-User Industry
8.4.4.2. France
8.4.4.2.1. By Type
8.4.4.2.2. By Component
8.4.4.2.3. By End-User Industry
8.4.4.3. United Kingdom
8.4.4.3.1. By Type
8.4.4.3.2. By Component
8.4.4.3.3. By End-User Industry
8.4.4.4. Italy
8.4.4.4.1. By Type
8.4.4.4.2. By Component
8.4.4.4.3. By End-User Industry
8.4.4.5. Others
8.5. Middle East and Africa
8.5.1. Middle East and Africa Machine Learning Processor Market, By Type, 2018 to 2024
8.5.2. Middle East and Africa Machine Learning Processor Market, By Component, 2018 to 2024
8.5.3. Middle East and Africa Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.5.4. By Country
8.5.4.1. Saudi Arabia
8.5.4.1.1. By Type
8.5.4.1.2. By Component
8.5.4.1.3. By End-User Industry
8.5.4.2. Israel
8.5.4.2.1. By Type
8.5.4.2.2. By Component
8.5.4.2.3. By End-User Industry
8.5.4.3. Others
8.6. Asia Pacific
8.6.1. Asia Pacific Machine Learning Processor Market, By Type, 2018 to 2024
8.6.2. Asia Pacific Machine Learning Processor Market, By Component, 2018 to 2024
8.6.3. Asia Pacific Machine Learning Processor Market, By End-User Industry, 2018 to 2024
8.6.4. By Country
8.6.4.1. China
8.6.4.1.1. By Type
8.6.4.1.2. By Component
8.6.4.1.3. By End-User Industry
8.6.4.2. Japan
8.6.4.2.1. By Type
8.6.4.2.2. By Component
8.6.4.2.3. By End-User Industry
8.6.4.3. South Korea
8.6.4.3.1. By Type
8.6.4.3.2. By Component
8.6.4.3.3. By End-User Industry
8.6.4.4. India
8.6.4.4.1. By Type
8.6.4.4.2. By Component
8.6.4.4.3. By End-User Industry
8.6.4.5. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Emerging Players and Market Lucrativeness
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Vendor Competitiveness Matrix
10. COMPANY PROFILES
10.1. NVIDIA Corporation
10.2. Arm Limited
10.3. Advanced Micro Devices, Inc.
10.4. Google LLC (Subsidiary of Alphabet, Inc.)
10.5. Graphcore
10.6. eSilicon Corporation
10.7. Intel Corporation
10.8. Xilinx, Inc.
10.9. Cambricon Technologies Corporation, Ltd.
11. APPENDIX
