Artificial intelligence (AI) has been the most progressive technologies since its introduction in the 1950s. It is associated with human intelligence characteristics such as language understanding, reasoning, learning, problem solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. It is positioned as the core of the next-generation software technologies in the market.
The AI chip market has witnessed significant growth over the years, owing to surge in efforts to make more human-like robots and rise in rate of deployments in the developing regions. Among the chip type segment, CPU dominated the market in terms of revenue in 2022. Among processing type, the edge segment dominated the market in terms of expenditure in 2022. Among technology, the system on chip segment dominated the market in terms of revenue in 2022. Among application, the nature language processing segment, dominated the expenditure in 2022. Among the industry verticals segment, BFSI dominated the market in terms of expenditure in 2022. The companies that operate in the market have adopted strategies such as collaboration, cooperation, partnership, product launch, R&D, and acquisition to increase their market share and expand their geographical presence.
The artificial intelligence chip market is analyzed and estimated in accordance with the impacts of the drivers, restraints, and opportunities. The period studied in this report is 2022-2032, wherein the forecast period is 2022-2032. The report includes the study of the artificial intelligence chip market with respect to the growth prospects and restraints based on the regional analysis.
The study includes Porter’s five forces analysis of the industry to determine the impact of suppliers, competitors, new entrants, substitutes, and buyers on the market growth. The global artificial intelligence chip market was valued at $14,918.7 million in 2022, and is projected to reach $383,659.2 million by 2032, registering a CAGR of 38.2% from 2023 to 2032.
Artificial intelligence (AI) has been the most progressive technology since its introduction in the 1950s. It is associated with human intelligence characteristics such as language understanding, reasoning, learning, problem-solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. It is positioned as the core of the next-generation software technologies in the market. The AI chip market has witnessed significant growth over the years, owing to a surge in efforts to make more human-like robots and a rise in the rate of deployments in developing regions. Among the industry verticals segment, BFSI dominated the market in terms of expenditure in 2022.
The artificial intelligence chip market is analyzed and estimated in accordance with the impacts of the drivers, restraints, and opportunities. The report includes a study of the artificial intelligence chip market with respect to the growth prospects and restraints based on regional analysis. The study includes Porter’s five forces analysis of the industry to determine the impact of suppliers, competitors, new entrants, substitutes, and buyers on the market growth.
The artificial intelligence chip market provides numerous growth opportunities to the market players such as SoftBank Group Corp., Alphabet Inc. (Google Inc.), NXP Semiconductors N.V., Mythic Ltd., Intel Corporation, Baidu, Mediatek, Inc., NVIDIA Corporation, Qualcomm Incorporated, Advanced Micro Devices Inc., and Samsung Electronics Co. Ltd.
The companies that operate in the market have adopted strategies such as collaboration, cooperation, partnership, product launch, R&D, and acquisition to increase their market share and expand their geographical presence
The AI chip market has witnessed significant growth over the years, owing to surge in efforts to make more human-like robots and rise in rate of deployments in the developing regions. Among the chip type segment, CPU dominated the market in terms of revenue in 2022. Among processing type, the edge segment dominated the market in terms of expenditure in 2022. Among technology, the system on chip segment dominated the market in terms of revenue in 2022. Among application, the nature language processing segment, dominated the expenditure in 2022. Among the industry verticals segment, BFSI dominated the market in terms of expenditure in 2022. The companies that operate in the market have adopted strategies such as collaboration, cooperation, partnership, product launch, R&D, and acquisition to increase their market share and expand their geographical presence.
The artificial intelligence chip market is analyzed and estimated in accordance with the impacts of the drivers, restraints, and opportunities. The period studied in this report is 2022-2032, wherein the forecast period is 2022-2032. The report includes the study of the artificial intelligence chip market with respect to the growth prospects and restraints based on the regional analysis.
The study includes Porter’s five forces analysis of the industry to determine the impact of suppliers, competitors, new entrants, substitutes, and buyers on the market growth. The global artificial intelligence chip market was valued at $14,918.7 million in 2022, and is projected to reach $383,659.2 million by 2032, registering a CAGR of 38.2% from 2023 to 2032.
Artificial intelligence (AI) has been the most progressive technology since its introduction in the 1950s. It is associated with human intelligence characteristics such as language understanding, reasoning, learning, problem-solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. It is positioned as the core of the next-generation software technologies in the market. The AI chip market has witnessed significant growth over the years, owing to a surge in efforts to make more human-like robots and a rise in the rate of deployments in developing regions. Among the industry verticals segment, BFSI dominated the market in terms of expenditure in 2022.
The artificial intelligence chip market is analyzed and estimated in accordance with the impacts of the drivers, restraints, and opportunities. The report includes a study of the artificial intelligence chip market with respect to the growth prospects and restraints based on regional analysis. The study includes Porter’s five forces analysis of the industry to determine the impact of suppliers, competitors, new entrants, substitutes, and buyers on the market growth.
The artificial intelligence chip market provides numerous growth opportunities to the market players such as SoftBank Group Corp., Alphabet Inc. (Google Inc.), NXP Semiconductors N.V., Mythic Ltd., Intel Corporation, Baidu, Mediatek, Inc., NVIDIA Corporation, Qualcomm Incorporated, Advanced Micro Devices Inc., and Samsung Electronics Co. Ltd.
The companies that operate in the market have adopted strategies such as collaboration, cooperation, partnership, product launch, R&D, and acquisition to increase their market share and expand their geographical presence
Key Benefits For Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence chip market analysis from 2022 to 2032 to identify the prevailing artificial intelligence chip market opportunities.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the artificial intelligence chip market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global artificial intelligence chip market trends, key players, market segments, application areas, and market growth strategies.
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Key Market Segments
By Chip Type
- Others
- GPU
- ASIC
- FPGA
- CPU
By Processing Type
- Edge
- Cloud
By Technology
- System On Chip
- System in Package
- Multi Chip Module
- Others
By Application
- Nature Language Processing
- Robotics
- Computer Vision
- Network Security
- Others
By Industry Vertical
- Media and Advertising
- BFSI
- IT and 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
- Key Market Players
- Qualcomm Technologies Inc.
- Baidu
- MediaTek Inc
- NVIDIA Corporation (Mellanox Technologies)
- Alphabet Inc.
- Mythic
- NXP Semiconductors
- Intel Corporation
- Samsung Electronics Co Ltd
- Advanced Micro Devices Inc.(Xilinx Inc.)
- SoftBank Corp.
Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE
CHAPTER 5: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY PROCESSING TYPE
CHAPTER 6: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY
CHAPTER 7: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION
CHAPTER 8: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL
CHAPTER 9: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY REGION
CHAPTER 10: COMPETITIVE LANDSCAPE
CHAPTER 11: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report, the artificial intelligence chip market was valued at $11.2 billion in 2021, and is estimated to reach $263.6 billion by 2031, growing at a CAGR of 37.1% from 2022 to 2031.The Artificial Intelligence Chip Market is likely to experience a significant growth rate of 37.1% from 2022-2031 owing to increasing market demand from System On Chip technology
Special silicon chips that are programmed for machine learning are known as artificial intelligence chips. AI chips have the capacity to process enormous amounts of data, recognize underlying trends, decipher patterns, and use the feed to accomplish specified objectives. AI chips have various functions and are competent at managing several tasks at once. The increased use of social media and e-commerce platforms has caused a tremendous increase in the volume of data, necessitating the use of more effective processors to complete machine learning jobs more quickly. The need for quicker processing owing to enabled machine learning is addressed by AI-based CPUs.Key factors driving the growth of the Artificial Intelligence Chip market include the increase in demand for smart homes & smart cities, the rise in investments in AI startups, and the emergence of quantum computing. The adoption of AI technology is accelerated by the quickly expanding demand for machine learning in numerous industries, including automotive, banking, and retail. The production of a driverless car to attain L5-level autonomous technology is the most well-known application of AI chipsets in the automotive sector. Nearly all facets of consumer electronics are being affected by artificial intelligence (AI). Its applications are expanding to encompass the automobile sector in addition to cell phones. The semiconductor sector is benefiting greatly from this growth in terms of new opportunities. One of the key factors influencing the growth of the AI chips market is the need to process an ever-increasing stream of data. Moreover, a lot of chances are anticipated to arise in the future as AI makes it possible for robots to carry out a variety of tasks that humans carry out. Additionally, the growing focus on developing human-aware AI systems is boosting the growth of the market.
The market offers growth opportunities to the key players in the market. A crucial trend that is becoming increasingly popular in the artificial intelligence chip industry is technological development. In order to streamline AI training and inference and increase efficiency, major players in the artificial intelligence chip industry are developing new technologies, conducting research, and releasing products like the NVIDIA A100 processors. For instance, in May 2020, NVIDIA, a US-based company that specializes in the development and production of chipsets, processors, and related multimedia software for computers operating in the artificial intelligence chip market, launched the EGX A100 and EGX Jetson. The first edge AI product based on the NVIDIA Ampere architecture is the EGX A100. The EGX Jetson is the world’s smallest and most powerful AI supercomputer for micro servers, and the product has unique features such as providing high-performance, secure AI processing at the edge. There are two models: the EGX A100 for bigger commercial off-the-shelf servers and the compact EGX Jetson Xavier NX for micro-edge servers. Hospitals, shops, farms, and factories can process and secure the enormous volumes of data pouring from trillions of edge sensors with the NVIDIA EGXTM Edge AI platform.
The artificial intelligence chip market is segmented based on chip type, processing type, technology, application, industry vertical, and region. Based on chip type, the market is categorized into GPU, ASIC, FPGA, CPU, and others. The applications analyzed in the study are natural language processing (NLP), robotics, computer vision, network security and others. Based on technology, the market is categorized into system-on-chip, system-in-package, multi-chip module, and others. Based on processing type, it is.
categorized into edge and cloud. The industry verticals considered in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.
Region-wise, the Artificial Intelligence Chip market trends are analyzed across North America (the U.S., Canada, and Mexico), Europe (UK, Germany, France, and the rest of Europe), Asia-Pacific (China, Japan, India, Australia, and the rest of the Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa).
The key players profiled in the study include Advanced Micro Devices, Alphabet Inc. (Google Inc.), Apple, NXP Semiconductors N.V., Analog Devices, Inc., Intel Corporation, Mediatek, Inc., NVIDIA Corporation, Qualcomm Incorporated, and Microsemi Corporation. The players in the market have been actively engaged in the adoption of various strategies such as acquisition, collaboration, investment, product launch, expansion, and partnership. For instance, in May 2022, Intel introduced two new deep-learning processors for instruction and inference: Habana Gaudi2 and Habana GrecoTM. These two innovative processors fill a market void by offering clients high-efficiency, high-performance, deep learning computing options for simultaneous training applications and inference installations in the data center and also reducing the AI obstacle to the entrance to businesses of all sizes.
Key Market Insights
· The CPU segment was the highest revenue contributor to the market, with $4.23 billion in 2021, and is estimated to reach $92.51 billion by 2031, with a CAGR of 36.0%.· The edge segment was the highest revenue contributor to the market, with $6.89 billion in 2021, and is estimated to reach $189.04 billion by 2031, with a CAGR of 39.1%.
· The system-on-chip and system-in package segments collectively accounted for around 72.7% market share in 2021.
· The robotics and computer vision segments are expected to witness considerable CAGRs of 41.1% and 39.1%, respectively, during the forecast period.
· The healthcare segment was the highest revenue contributor to the market, with $2.13 billion in 2021, and is estimated to reach $58.71 billion by 2031, with a CAGR of 39.2%.
· Based on region, North America was the highest revenue contributor, accounting for $3.83 billion in 2021, and is estimated to reach $69.35 billion by 2031, with a CAGR of 33.4%.
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Companies Mentioned
- Qualcomm Technologies Inc.
- Baidu
- MediaTek Inc
- NVIDIA Corporation (Mellanox Technologies)
- Alphabet Inc.
- Mythic
- NXP Semiconductors
- Intel Corporation
- Samsung Electronics Co Ltd
- Advanced Micro Devices Inc.(Xilinx Inc.)
- SoftBank Corp.
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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