
The global Machine Learning Accelerator market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Machine Learning Accelerator is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Learning Accelerator is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Learning Accelerator in Self-Driving Cars is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Learning Accelerator include NVIDIA, Intel, Google, AMD, Xilinx, Graphcore, Habana Labs, Cerebras Systems and Cambricon Technologies, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Learning Accelerator, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Learning Accelerator.
Report Scope
The Machine Learning Accelerator market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Learning Accelerator market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Learning Accelerator companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA
Intel
Google
AMD
Xilinx
Graphcore
Habana Labs
Cerebras Systems
Cambricon Technologies
Wave Computing
Groq
BrainChip
Mythic
Segment by Type
Graphics processing Unit (GPU)
Tensor Processing Unit (TPU)
Programmable Logic Gate Array (FPGA)
Other
Segment by Application
Self-Driving Cars
Financial Services
Medical Insurance
Cloud Computing and Data Center
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Learning Accelerator companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Accelerator Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Graphics processing Unit (GPU)
1.2.3 Tensor Processing Unit (TPU)
1.2.4 Programmable Logic Gate Array (FPGA)
1.2.5 Other
1.3 Market by Application
1.3.1 Global Machine Learning Accelerator Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Self-Driving Cars
1.3.3 Financial Services
1.3.4 Medical Insurance
1.3.5 Cloud Computing and Data Center
1.3.6 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Accelerator Market Perspective (2019-2030)
2.2 Machine Learning Accelerator Growth Trends by Region
2.2.1 Global Machine Learning Accelerator Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning Accelerator Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning Accelerator Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning Accelerator Market Dynamics
2.3.1 Machine Learning Accelerator Industry Trends
2.3.2 Machine Learning Accelerator Market Drivers
2.3.3 Machine Learning Accelerator Market Challenges
2.3.4 Machine Learning Accelerator Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Accelerator Players by Revenue
3.1.1 Global Top Machine Learning Accelerator Players by Revenue (2019-2024)
3.1.2 Global Machine Learning Accelerator Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning Accelerator Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Accelerator Revenue
3.4 Global Machine Learning Accelerator Market Concentration Ratio
3.4.1 Global Machine Learning Accelerator Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Accelerator Revenue in 2023
3.5 Machine Learning Accelerator Key Players Head office and Area Served
3.6 Key Players Machine Learning Accelerator Product Solution and Service
3.7 Date of Enter into Machine Learning Accelerator Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Accelerator Breakdown Data by Type
4.1 Global Machine Learning Accelerator Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning Accelerator Forecasted Market Size by Type (2025-2030)
5 Machine Learning Accelerator Breakdown Data by Application
5.1 Global Machine Learning Accelerator Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning Accelerator Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning Accelerator Market Size (2019-2030)
6.2 North America Machine Learning Accelerator Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning Accelerator Market Size by Country (2019-2024)
6.4 North America Machine Learning Accelerator Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Accelerator Market Size (2019-2030)
7.2 Europe Machine Learning Accelerator Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning Accelerator Market Size by Country (2019-2024)
7.4 Europe Machine Learning Accelerator Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning Accelerator Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning Accelerator Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning Accelerator Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning Accelerator Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Learning Accelerator Market Size (2019-2030)
9.2 Latin America Machine Learning Accelerator Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning Accelerator Market Size by Country (2019-2024)
9.4 Latin America Machine Learning Accelerator Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Accelerator Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning Accelerator Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning Accelerator Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning Accelerator Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA Machine Learning Accelerator Introduction
11.1.4 NVIDIA Revenue in Machine Learning Accelerator Business (2019-2024)
11.1.5 NVIDIA Recent Development
11.2 Intel
11.2.1 Intel Company Detail
11.2.2 Intel Business Overview
11.2.3 Intel Machine Learning Accelerator Introduction
11.2.4 Intel Revenue in Machine Learning Accelerator Business (2019-2024)
11.2.5 Intel Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Machine Learning Accelerator Introduction
11.3.4 Google Revenue in Machine Learning Accelerator Business (2019-2024)
11.3.5 Google Recent Development
11.4 AMD
11.4.1 AMD Company Detail
11.4.2 AMD Business Overview
11.4.3 AMD Machine Learning Accelerator Introduction
11.4.4 AMD Revenue in Machine Learning Accelerator Business (2019-2024)
11.4.5 AMD Recent Development
11.5 Xilinx
11.5.1 Xilinx Company Detail
11.5.2 Xilinx Business Overview
11.5.3 Xilinx Machine Learning Accelerator Introduction
11.5.4 Xilinx Revenue in Machine Learning Accelerator Business (2019-2024)
11.5.5 Xilinx Recent Development
11.6 Graphcore
11.6.1 Graphcore Company Detail
11.6.2 Graphcore Business Overview
11.6.3 Graphcore Machine Learning Accelerator Introduction
11.6.4 Graphcore Revenue in Machine Learning Accelerator Business (2019-2024)
11.6.5 Graphcore Recent Development
11.7 Habana Labs
11.7.1 Habana Labs Company Detail
11.7.2 Habana Labs Business Overview
11.7.3 Habana Labs Machine Learning Accelerator Introduction
11.7.4 Habana Labs Revenue in Machine Learning Accelerator Business (2019-2024)
11.7.5 Habana Labs Recent Development
11.8 Cerebras Systems
11.8.1 Cerebras Systems Company Detail
11.8.2 Cerebras Systems Business Overview
11.8.3 Cerebras Systems Machine Learning Accelerator Introduction
11.8.4 Cerebras Systems Revenue in Machine Learning Accelerator Business (2019-2024)
11.8.5 Cerebras Systems Recent Development
11.9 Cambricon Technologies
11.9.1 Cambricon Technologies Company Detail
11.9.2 Cambricon Technologies Business Overview
11.9.3 Cambricon Technologies Machine Learning Accelerator Introduction
11.9.4 Cambricon Technologies Revenue in Machine Learning Accelerator Business (2019-2024)
11.9.5 Cambricon Technologies Recent Development
11.10 Wave Computing
11.10.1 Wave Computing Company Detail
11.10.2 Wave Computing Business Overview
11.10.3 Wave Computing Machine Learning Accelerator Introduction
11.10.4 Wave Computing Revenue in Machine Learning Accelerator Business (2019-2024)
11.10.5 Wave Computing Recent Development
11.11 Groq
11.11.1 Groq Company Detail
11.11.2 Groq Business Overview
11.11.3 Groq Machine Learning Accelerator Introduction
11.11.4 Groq Revenue in Machine Learning Accelerator Business (2019-2024)
11.11.5 Groq Recent Development
11.12 BrainChip
11.12.1 BrainChip Company Detail
11.12.2 BrainChip Business Overview
11.12.3 BrainChip Machine Learning Accelerator Introduction
11.12.4 BrainChip Revenue in Machine Learning Accelerator Business (2019-2024)
11.12.5 BrainChip Recent Development
11.13 Mythic
11.13.1 Mythic Company Detail
11.13.2 Mythic Business Overview
11.13.3 Mythic Machine Learning Accelerator Introduction
11.13.4 Mythic Revenue in Machine Learning Accelerator Business (2019-2024)
11.13.5 Mythic Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
NVIDIA
Intel
Google
AMD
Xilinx
Graphcore
Habana Labs
Cerebras Systems
Cambricon Technologies
Wave Computing
Groq
BrainChip
Mythic
Ìý
Ìý
*If Applicable.
