The artificial intelligence (AI) chipsets market size has grown exponentially in recent years. It will grow from $14.82 billion in 2023 to $20.79 billion in 2024 at a compound annual growth rate (CAGR) of 40.3%. The observed growth during the historical period can be attributed to the rise in machine learning applications, the growth of deep learning technologies, the expansion of data analytics, the adoption of AI in consumer electronics, and the increase in cloud computing.
The artificial intelligence (AI) chipsets market size is expected to see exponential growth in the next few years. It will grow to $72.71 billion in 2028 at a compound annual growth rate (CAGR) of 36.8%. The anticipated growth in the forecast period can be attributed to the surge in demand for AI in autonomous vehicles, the increasing use of AI chipsets for natural language processing, the rise of AI in cybersecurity solutions, the growth of AI-powered IoT devices, and the development of customized AI chipsets for industry-specific applications. Major trends expected in the forecast period include the development of new neuromorphic chipsets, advances in semiconductor manufacturing, progress in quantum computing, collaborations with AI software developers, the use of AI chipsets for real-time video analysis, and a focus on energy-efficient AI chip designs.
The growing demand for autonomous vehicles is poised to drive the expansion of the artificial intelligence (AI) chipsets market in the foreseeable future. Autonomous vehicles, known for their capacity to operate critical functions without human intervention, rely on AI chipsets to provide the necessary processing power, machine learning capabilities, and real-time decision-making. Projections from the National Association of Insurance Commissioners indicate an expected presence of 3.5 million autonomous vehicles on American roads by 2025, increasing to 4.5 million by 2030. Consequently, the surging trend toward autonomous vehicles is a significant driver for the artificial intelligence (AI) chipset market.
The increasing adoption of 5G technology is anticipated to fuel the growth of the artificial intelligence (AI) chipset market. 5G, the fifth generation of mobile telecommunications technology, promises faster data speeds, lower latency, increased capacity, and enhanced connectivity. AI chipsets play a pivotal role in optimizing 5G capabilities by efficiently processing complex data sets, supporting real-time decision-making, and facilitating edge computing. The GSM Association (GSMA) reports over 640 million 5G connections globally in 2022, with an expected total of 2 billion connections by 2025. This adoption of 5G technology is a key factor driving the growth of the artificial intelligence (AI) chipset market.
Innovations in product offerings represent a prominent trend gaining traction in the artificial intelligence (AI) chipsets market. Major players in the market, such as Nvidia Corporation, are prioritizing the development of groundbreaking solutions to fortify their market positions. Nvidia's launch of the GeForce RTX 40 Series GPUs in September 2022 exemplifies this trend, introducing features such as streaming multiprocessors, third-generation RT cores, fourth-generation tensor cores, shader execution reordering, an Ada optical flow accelerator, and dual Nvidia encoders. These innovations are designed to deliver exceptional performance, with the flagship RTX 4090 offering up to four times the performance of its predecessor.
Major companies in the artificial intelligence (AI) chipsets market are actively introducing new products, including AI accelerators, to gain a competitive advantage. AI accelerators, also known as neural processing units (NPUs), significantly enhance the speed of AI workloads, particularly those involving deep learning. Intel Corporation's launch of AI-focused products in December 2023, including the Intel Core Ultra mobile processor and the 5th Gen Intel Xeon processors, exemplifies this strategy. These advancements aim to expand AI capabilities across diverse computing environments, including data centers, the cloud, network, edge, and personal computers. Intel's commitment to making AI accessible and pervasive is further demonstrated through the preview of Gaudi3, an upcoming AI accelerator for generative AI models.
In December 2021, Synaptics acquired DSP Group for approximately $549 million. This acquisition positions Synaptics to broaden its portfolio of AI, voice processing, and wireless technologies, contributing to the development of smart connected devices. DSP Group, with its expertise in AI chipsets, adds value to Synaptics' commitment to advancing AI technologies.
Major companies operating in the artificial intelligence (AI) chipsets market report are Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Microsoft Corporation, Huawei Technologies Corporate Limited, Intel Corp., International Business Machines Corporation (IBM), Qualcomm Technologies, Broadcom Limited, Micron Technology Inc., Toshiba Corporation, Nvidia Corporation, Advanced Micro Devices Inc., Texas Instruments, Western Digital Corporation, MediaTek Inc., Baidu Inc., STMicroelectronics, Infineon Technologies, Renesas Electronics Corporation, NXP Semiconductors NV, Synopsys Inc., Cadence Design Systems Inc., Xilinx Inc., Arm Holdings, Graphcore Limited, Mythic Ltd., SambaNova Systems.
North America was the largest region in the artificial intelligence (AI) chipsets market in 2023. The regions covered in the artificial intelligence (AI) chipsets market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) chipsets market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
The primary hardware types of artificial intelligence (AI) chipset components include processors, memory, and networks. AI processors are specialized chips that leverage AI technology and machine learning to accelerate the processing of AI applications, including modeling and inference. They operate through training and inference functions, employing various technologies such as machine learning, natural language processing, context-aware computing, computer vision, and predictive analysis. These AI chipsets are utilized across diverse industries, including healthcare, manufacturing, automotive, agriculture, retail, cybersecurity, human resources, marketing, law, and others.
The artificial intelligence (AI) chipset market research report is one of a series of new reports that provides artificial intelligence (AI) chipset market statistics, including artificial intelligence (AI) chipset industry global market size, regional shares, competitors with artificial intelligence (AI) chipset market share, detailed artificial intelligence (AI) chipset market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) chipset industry. This artificial intelligence (AI) chipset market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The artificial intelligence (AI) chipsets market consists of revenues earned by entities by providing quantum computing, and high-performance computing. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) chipsets market also includes sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and graphical processing units (GPUs). 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).
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 artificial intelligence (AI) chipsets market size is expected to see exponential growth in the next few years. It will grow to $72.71 billion in 2028 at a compound annual growth rate (CAGR) of 36.8%. The anticipated growth in the forecast period can be attributed to the surge in demand for AI in autonomous vehicles, the increasing use of AI chipsets for natural language processing, the rise of AI in cybersecurity solutions, the growth of AI-powered IoT devices, and the development of customized AI chipsets for industry-specific applications. Major trends expected in the forecast period include the development of new neuromorphic chipsets, advances in semiconductor manufacturing, progress in quantum computing, collaborations with AI software developers, the use of AI chipsets for real-time video analysis, and a focus on energy-efficient AI chip designs.
The growing demand for autonomous vehicles is poised to drive the expansion of the artificial intelligence (AI) chipsets market in the foreseeable future. Autonomous vehicles, known for their capacity to operate critical functions without human intervention, rely on AI chipsets to provide the necessary processing power, machine learning capabilities, and real-time decision-making. Projections from the National Association of Insurance Commissioners indicate an expected presence of 3.5 million autonomous vehicles on American roads by 2025, increasing to 4.5 million by 2030. Consequently, the surging trend toward autonomous vehicles is a significant driver for the artificial intelligence (AI) chipset market.
The increasing adoption of 5G technology is anticipated to fuel the growth of the artificial intelligence (AI) chipset market. 5G, the fifth generation of mobile telecommunications technology, promises faster data speeds, lower latency, increased capacity, and enhanced connectivity. AI chipsets play a pivotal role in optimizing 5G capabilities by efficiently processing complex data sets, supporting real-time decision-making, and facilitating edge computing. The GSM Association (GSMA) reports over 640 million 5G connections globally in 2022, with an expected total of 2 billion connections by 2025. This adoption of 5G technology is a key factor driving the growth of the artificial intelligence (AI) chipset market.
Innovations in product offerings represent a prominent trend gaining traction in the artificial intelligence (AI) chipsets market. Major players in the market, such as Nvidia Corporation, are prioritizing the development of groundbreaking solutions to fortify their market positions. Nvidia's launch of the GeForce RTX 40 Series GPUs in September 2022 exemplifies this trend, introducing features such as streaming multiprocessors, third-generation RT cores, fourth-generation tensor cores, shader execution reordering, an Ada optical flow accelerator, and dual Nvidia encoders. These innovations are designed to deliver exceptional performance, with the flagship RTX 4090 offering up to four times the performance of its predecessor.
Major companies in the artificial intelligence (AI) chipsets market are actively introducing new products, including AI accelerators, to gain a competitive advantage. AI accelerators, also known as neural processing units (NPUs), significantly enhance the speed of AI workloads, particularly those involving deep learning. Intel Corporation's launch of AI-focused products in December 2023, including the Intel Core Ultra mobile processor and the 5th Gen Intel Xeon processors, exemplifies this strategy. These advancements aim to expand AI capabilities across diverse computing environments, including data centers, the cloud, network, edge, and personal computers. Intel's commitment to making AI accessible and pervasive is further demonstrated through the preview of Gaudi3, an upcoming AI accelerator for generative AI models.
In December 2021, Synaptics acquired DSP Group for approximately $549 million. This acquisition positions Synaptics to broaden its portfolio of AI, voice processing, and wireless technologies, contributing to the development of smart connected devices. DSP Group, with its expertise in AI chipsets, adds value to Synaptics' commitment to advancing AI technologies.
Major companies operating in the artificial intelligence (AI) chipsets market report are Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Microsoft Corporation, Huawei Technologies Corporate Limited, Intel Corp., International Business Machines Corporation (IBM), Qualcomm Technologies, Broadcom Limited, Micron Technology Inc., Toshiba Corporation, Nvidia Corporation, Advanced Micro Devices Inc., Texas Instruments, Western Digital Corporation, MediaTek Inc., Baidu Inc., STMicroelectronics, Infineon Technologies, Renesas Electronics Corporation, NXP Semiconductors NV, Synopsys Inc., Cadence Design Systems Inc., Xilinx Inc., Arm Holdings, Graphcore Limited, Mythic Ltd., SambaNova Systems.
North America was the largest region in the artificial intelligence (AI) chipsets market in 2023. The regions covered in the artificial intelligence (AI) chipsets market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) chipsets market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
The primary hardware types of artificial intelligence (AI) chipset components include processors, memory, and networks. AI processors are specialized chips that leverage AI technology and machine learning to accelerate the processing of AI applications, including modeling and inference. They operate through training and inference functions, employing various technologies such as machine learning, natural language processing, context-aware computing, computer vision, and predictive analysis. These AI chipsets are utilized across diverse industries, including healthcare, manufacturing, automotive, agriculture, retail, cybersecurity, human resources, marketing, law, and others.
The artificial intelligence (AI) chipset market research report is one of a series of new reports that provides artificial intelligence (AI) chipset market statistics, including artificial intelligence (AI) chipset industry global market size, regional shares, competitors with artificial intelligence (AI) chipset market share, detailed artificial intelligence (AI) chipset market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) chipset industry. This artificial intelligence (AI) chipset market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The artificial intelligence (AI) chipsets market consists of revenues earned by entities by providing quantum computing, and high-performance computing. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) chipsets market also includes sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and graphical processing units (GPUs). 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).
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. Artificial Intelligence (AI) Chipsets Market Characteristics3. Artificial Intelligence (AI) Chipsets Market Trends and Strategies32. Global Artificial Intelligence (AI) Chipsets Market Competitive Benchmarking33. Global Artificial Intelligence (AI) Chipsets Market Competitive Dashboard34. Key Mergers and Acquisitions in the Artificial Intelligence (AI) Chipsets Market
4. Artificial Intelligence (AI) Chipsets Market - Macro Economic Scenario
5. Global Artificial Intelligence (AI) Chipsets Market Size and Growth
6. Artificial Intelligence (AI) Chipsets Market Segmentation
7. Artificial Intelligence (AI) Chipsets Market Regional and Country Analysis
8. Asia-Pacific Artificial Intelligence (AI) Chipsets Market
9. China Artificial Intelligence (AI) Chipsets Market
10. India Artificial Intelligence (AI) Chipsets Market
11. Japan Artificial Intelligence (AI) Chipsets Market
12. Australia Artificial Intelligence (AI) Chipsets Market
13. Indonesia Artificial Intelligence (AI) Chipsets Market
14. South Korea Artificial Intelligence (AI) Chipsets Market
15. Western Europe Artificial Intelligence (AI) Chipsets Market
16. UK Artificial Intelligence (AI) Chipsets Market
17. Germany Artificial Intelligence (AI) Chipsets Market
18. France Artificial Intelligence (AI) Chipsets Market
19. Italy Artificial Intelligence (AI) Chipsets Market
20. Spain Artificial Intelligence (AI) Chipsets Market
21. Eastern Europe Artificial Intelligence (AI) Chipsets Market
22. Russia Artificial Intelligence (AI) Chipsets Market
23. North America Artificial Intelligence (AI) Chipsets Market
24. USA Artificial Intelligence (AI) Chipsets Market
25. Canada Artificial Intelligence (AI) Chipsets Market
26. South America Artificial Intelligence (AI) Chipsets Market
27. Brazil Artificial Intelligence (AI) Chipsets Market
28. Middle East Artificial Intelligence (AI) Chipsets Market
29. Africa Artificial Intelligence (AI) Chipsets Market
30. Artificial Intelligence (AI) Chipsets Market Competitive Landscape and Company Profiles
31. Artificial Intelligence (AI) Chipsets Market Other Major and Innovative Companies
35. Artificial Intelligence (AI) Chipsets Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
Artificial Intelligence (AI) Chipsets Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on artificial intelligence (ai) chipsets 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.
Reasons to Purchase
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- Benchmark performance against key competitors.
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- All data from the report will also be delivered in an excel dashboard format.
Where is the largest and fastest growing market for artificial intelligence (ai) chipsets? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? This 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- 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.
Report Scope
Markets Covered:1) By Hardware: Processor; Memory; Network
2) By Function: Training; Inference
3) By Technology: Machine Learning; Natural Language Processing; Context-Aware Computing; Computer Vision; Predictive Analysis
4) By End-user: Healthcare; Manufacturing; Automotive; Agriculture; Retail; Cybersecurity; Human Resources; Marketing; Law; Other End-Users
Key Companies Mentioned: Apple Inc.; Alphabet Inc.; Samsung Electronics Co. Ltd.; Microsoft Corporation; Huawei Technologies Corporate Limited
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
- Apple Inc.
- Alphabet Inc.
- Samsung Electronics Co. Ltd.
- Microsoft Corporation
- Huawei Technologies Corporate Limited
- Intel Corp.
- International Business Machines Corporation (IBM)
- Qualcomm Technologies
- Broadcom Limited
- Micron Technology Inc.
- Toshiba Corporation
- Nvidia Corporation
- Advanced Micro Devices Inc.
- Texas Instruments
- Western Digital Corporation
- MediaTek Inc.
- Baidu Inc.
- STMicroelectronics
- Infineon Technologies
- Renesas Electronics Corporation
- NXP Semiconductors NV
- Synopsys Inc.
- Cadence Design Systems Inc.
- Xilinx Inc.
- Arm Holdings
- Graphcore Limited
- Mythic Ltd.
- SambaNova Systems
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | February 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 20.79 Billion |
Forecasted Market Value ( USD | $ 72.71 Billion |
Compound Annual Growth Rate | 36.8% |
Regions Covered | Global |
No. of Companies Mentioned | 28 |