This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
The machine learning chip market size has grown exponentially in recent years. It will grow from $21.12 billion in 2024 to $28.97 billion in 2025 at a compound annual growth rate (CAGR) of 37.2%. The growth in the historic period can be attributed to rise in big data analytics, increasing adoption of cloud services, emergence of edge computing, growing ai applications across industries, expansion of iot devices.
The machine learning chip market size is expected to see exponential growth in the next few years. It will grow to $103.35 billion in 2029 at a compound annual growth rate (CAGR) of 37.4%. The growth in the forecast period can be attributed to integration of ai in edge devices, continued ai algorithm complexity, increased focus on energy efficiency, expanding scope of ai applications, global push for autonomous systems. Major trends in the forecast period include technological partnerships and collaborations, investments in ai research and development, advancements in ai technologies, open source hardware initiatives, customization and specialization.
The surge in cyberattacks is anticipated to drive the growth of the machine learning chip market. Cyberattacks, encompassing offensive maneuvers targeting computer information systems, networks, and personal devices, prompt the need for advanced cybersecurity measures. Machine learning chips play a crucial role in this domain by enabling the application of machine learning algorithms to continuously assess data, recognize patterns, and make accurate predictions, effectively mitigating potential cyber threats. In February 2023, the Australian Cyber Security Centre reported a significant increase in cybercrime reports, reaching 76,000 in 2022, reflecting a 13% rise from the previous year. Additionally, the Anti-Phishing Working Group recorded a substantial uptick in phishing attacks, with 1,025,968 incidents in the first quarter of 2022, marking a 15% increase from the fourth quarter of 2021. This surge in cyber threats underscores the driving force behind the machine learning chip market's expansion.
Leading companies in the machine learning chip market are strategically focusing on developing innovative products to gain a competitive edge. Notably, Silicon Labs, a UK-based semiconductor manufacturing company, launched new AI/ML chips and a toolkit in January 2022. This initiative aims to enable the implementation of artificial intelligence (AI) and machine learning (ML) at the Internet of Things (IoT) edge. The wireless System-on-Chip (SoC) integrates an AI and machine learning accelerator, wireless radio, ultra-low-power capabilities, and support for IP-based connectivity protocols such as Matter and Zigbee, providing a comprehensive solution for edge-based AI and ML applications.
In October 2023, Advanced Micro Devices Inc., a US-based semiconductor company, made a strategic acquisition by purchasing Nod.AI for an undisclosed amount. This acquisition is expected to enhance Advanced Micro Devices Inc.'s capabilities in open AI software and reinforce its market position. Nod.ai, a US-based software company specializing in machine learning chip development, brings valuable expertise to Advanced Micro Devices Inc., aligning with the company's commitment to advancing AI technology and strengthening its overall portfolio in the semiconductor industry.
Major companies operating in the machine learning chip market report are Google LLC, Samsung Electronics Co. Ltd., Tencent Holdings Limited, Amazon Web Services Inc., Taiwan Semiconductor Manufacturing Company Limited (TSMC), Intel Corporation, International Business Machines Corporation (IBM), SoftBank Group Corp, Qualcomm Incorporated, Micron Technology, Inc. (US), NVIDIA Corporation, Toshiba Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, Baidu Inc., NXP Semiconductors, Synopsys Inc., Lattice Semiconductor Corporation, Horizon Robotics, Hailo, Cerebras Inc., BitMain Technologies Holding Company, Graphcore, Mythic, Gyrfalcon Technology, Flex Logix Technologies, Wave Computing, Inc., Esperanto Technologies, BrainChip Holdings.
North America was the largest region in the machine learning chip market in 2024. The regions covered in the machine learning chip market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the machine learning chip market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The machine learning chip market consists of sales of neural processing units (NPU), graphical processing units (GPU), control units (CU), arithmetic logic units (ALU), address generation units (AGU), and memory management units (MMU). Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
Machine-learning chips are dedicated hardware components specifically engineered to expedite the processing of machine-learning algorithms. These chips are designed to efficiently manage the intricate mathematical computations required for training and inference tasks associated with machine-learning models, outperforming general-purpose processors in these specialized tasks.
The primary types of machine learning chips include Graphics Processing Units (GPU), Application-Specific Processors (ASIC), Field-Programmable Gate Arrays (FPGA), Central Processing Units (CPU), and others. A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate computer graphics and image processing. Various technologies associated with these chips include system-on-chip (SoC), system-in-package, multi-chip modules, and others. These chips find applications across diverse industry verticals, including banking, financial services, and insurance (BFSI), IT and telecom, media and advertising, retail, healthcare, automotive, and others.
The machine learning chip market research report is one of a series of new reports that provides machine learning chip market statistics, including machine learning chip industry global market size, regional shares, competitors with a machine learning chip market share, detailed machine learning chip market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning chip industry. This machine learning chip market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The machine learning chip market size has grown exponentially in recent years. It will grow from $21.12 billion in 2024 to $28.97 billion in 2025 at a compound annual growth rate (CAGR) of 37.2%. The growth in the historic period can be attributed to rise in big data analytics, increasing adoption of cloud services, emergence of edge computing, growing ai applications across industries, expansion of iot devices.
The machine learning chip market size is expected to see exponential growth in the next few years. It will grow to $103.35 billion in 2029 at a compound annual growth rate (CAGR) of 37.4%. The growth in the forecast period can be attributed to integration of ai in edge devices, continued ai algorithm complexity, increased focus on energy efficiency, expanding scope of ai applications, global push for autonomous systems. Major trends in the forecast period include technological partnerships and collaborations, investments in ai research and development, advancements in ai technologies, open source hardware initiatives, customization and specialization.
The surge in cyberattacks is anticipated to drive the growth of the machine learning chip market. Cyberattacks, encompassing offensive maneuvers targeting computer information systems, networks, and personal devices, prompt the need for advanced cybersecurity measures. Machine learning chips play a crucial role in this domain by enabling the application of machine learning algorithms to continuously assess data, recognize patterns, and make accurate predictions, effectively mitigating potential cyber threats. In February 2023, the Australian Cyber Security Centre reported a significant increase in cybercrime reports, reaching 76,000 in 2022, reflecting a 13% rise from the previous year. Additionally, the Anti-Phishing Working Group recorded a substantial uptick in phishing attacks, with 1,025,968 incidents in the first quarter of 2022, marking a 15% increase from the fourth quarter of 2021. This surge in cyber threats underscores the driving force behind the machine learning chip market's expansion.
Leading companies in the machine learning chip market are strategically focusing on developing innovative products to gain a competitive edge. Notably, Silicon Labs, a UK-based semiconductor manufacturing company, launched new AI/ML chips and a toolkit in January 2022. This initiative aims to enable the implementation of artificial intelligence (AI) and machine learning (ML) at the Internet of Things (IoT) edge. The wireless System-on-Chip (SoC) integrates an AI and machine learning accelerator, wireless radio, ultra-low-power capabilities, and support for IP-based connectivity protocols such as Matter and Zigbee, providing a comprehensive solution for edge-based AI and ML applications.
In October 2023, Advanced Micro Devices Inc., a US-based semiconductor company, made a strategic acquisition by purchasing Nod.AI for an undisclosed amount. This acquisition is expected to enhance Advanced Micro Devices Inc.'s capabilities in open AI software and reinforce its market position. Nod.ai, a US-based software company specializing in machine learning chip development, brings valuable expertise to Advanced Micro Devices Inc., aligning with the company's commitment to advancing AI technology and strengthening its overall portfolio in the semiconductor industry.
Major companies operating in the machine learning chip market report are Google LLC, Samsung Electronics Co. Ltd., Tencent Holdings Limited, Amazon Web Services Inc., Taiwan Semiconductor Manufacturing Company Limited (TSMC), Intel Corporation, International Business Machines Corporation (IBM), SoftBank Group Corp, Qualcomm Incorporated, Micron Technology, Inc. (US), NVIDIA Corporation, Toshiba Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, Baidu Inc., NXP Semiconductors, Synopsys Inc., Lattice Semiconductor Corporation, Horizon Robotics, Hailo, Cerebras Inc., BitMain Technologies Holding Company, Graphcore, Mythic, Gyrfalcon Technology, Flex Logix Technologies, Wave Computing, Inc., Esperanto Technologies, BrainChip Holdings.
North America was the largest region in the machine learning chip market in 2024. The regions covered in the machine learning chip market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the machine learning chip market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The machine learning chip market consists of sales of neural processing units (NPU), graphical processing units (GPU), control units (CU), arithmetic logic units (ALU), address generation units (AGU), and memory management units (MMU). Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
Machine-learning chips are dedicated hardware components specifically engineered to expedite the processing of machine-learning algorithms. These chips are designed to efficiently manage the intricate mathematical computations required for training and inference tasks associated with machine-learning models, outperforming general-purpose processors in these specialized tasks.
The primary types of machine learning chips include Graphics Processing Units (GPU), Application-Specific Processors (ASIC), Field-Programmable Gate Arrays (FPGA), Central Processing Units (CPU), and others. A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate computer graphics and image processing. Various technologies associated with these chips include system-on-chip (SoC), system-in-package, multi-chip modules, and others. These chips find applications across diverse industry verticals, including banking, financial services, and insurance (BFSI), IT and telecom, media and advertising, retail, healthcare, automotive, and others.
The machine learning chip market research report is one of a series of new reports that provides machine learning chip market statistics, including machine learning chip industry global market size, regional shares, competitors with a machine learning chip market share, detailed machine learning chip market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning chip industry. This machine learning chip market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Machine Learning Chip Market Characteristics3. Machine Learning Chip Market Trends and Strategies4. Machine Learning Chip Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, Covid and Recovery on the Market32. Global Machine Learning Chip Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the Machine Learning Chip Market34. Recent Developments in the Machine Learning Chip Market
5. Global Machine Learning Chip Growth Analysis and Strategic Analysis Framework
6. Machine Learning Chip Market Segmentation
7. Machine Learning Chip Market Regional and Country Analysis
8. Asia-Pacific Machine Learning Chip Market
9. China Machine Learning Chip Market
10. India Machine Learning Chip Market
11. Japan Machine Learning Chip Market
12. Australia Machine Learning Chip Market
13. Indonesia Machine Learning Chip Market
14. South Korea Machine Learning Chip Market
15. Western Europe Machine Learning Chip Market
16. UK Machine Learning Chip Market
17. Germany Machine Learning Chip Market
18. France Machine Learning Chip Market
19. Italy Machine Learning Chip Market
20. Spain Machine Learning Chip Market
21. Eastern Europe Machine Learning Chip Market
22. Russia Machine Learning Chip Market
23. North America Machine Learning Chip Market
24. USA Machine Learning Chip Market
25. Canada Machine Learning Chip Market
26. South America Machine Learning Chip Market
27. Brazil Machine Learning Chip Market
28. Middle East Machine Learning Chip Market
29. Africa Machine Learning Chip Market
30. Machine Learning Chip Market Competitive Landscape and Company Profiles
31. Machine Learning Chip Market Other Major and Innovative Companies
35. Machine Learning Chip Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Machine Learning Chip Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on machine learning chip market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for machine learning chip? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning chip market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Chip Type: Graphics Processing Unit (GPU); Application-Specific Processor (ASIC); Field Programmable Gate Array (FPGA); Central Processing Unit (CPU); Other Chips2) By Technology: System-On-Chip (SoC); System-In-Package; Multi-Chip Module; Other Technologies
3) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI); IT And Telecom; Media And Advertising; Retail; Healthcare; Automotive; Other Industry Verticals
Subsegments:
1) By Graphics Processing Unit (GPU): Dedicated GPUs; Integrated GPUs2) By Application-Specific Integrated Circuit (ASIC): Custom ASICs For AI; General-Purpose ASICs
3) By Field Programmable Gate Array (FPGA): Configurable FPGAs; Embedded FPGAs
4) By Central Processing Unit (CPU): Multi-Core CPUs; High-Performance CPUs
5) By Other Chips: Neuromorphic Chips; Digital Signal Processors (DSP); Tensor Processing Units (TPU)
Key Companies Mentioned: Google LLC; Samsung Electronics Co. Ltd.; Tencent Holdings Limited; Amazon Web Services Inc.; Taiwan Semiconductor Manufacturing Company Limited (TSMC)
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
Some of the major companies featured in this Machine Learning Chip market report include:- Google LLC
- Samsung Electronics Co. Ltd.
- Tencent Holdings Limited
- Amazon Web Services Inc.
- Taiwan Semiconductor Manufacturing Company Limited (TSMC)
- Intel Corporation
- International Business Machines Corporation (IBM)
- SoftBank Group Corp
- Qualcomm Incorporated
- Micron Technology, Inc. (US)
- NVIDIA Corporation
- Toshiba Corporation
- Advanced Micro Devices Inc.
- Texas Instruments Incorporated
- Baidu Inc.
- NXP Semiconductors
- Synopsys Inc.
- Lattice Semiconductor Corporation
- Horizon Robotics
- Hailo
- Cerebras Inc.
- BitMain Technologies Holding Company
- Graphcore
- Mythic
- Gyrfalcon Technology
- Flex Logix Technologies
- Wave Computing, Inc.
- Esperanto Technologies
- BrainChip Holdings
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 200 |
| Published | March 2025 |
| Forecast Period | 2025 - 2029 |
| Estimated Market Value ( USD | $ 28.97 Billion |
| Forecasted Market Value ( USD | $ 103.35 Billion |
| Compound Annual Growth Rate | 37.4% |
| Regions Covered | Global |
| No. of Companies Mentioned | 30 |
