Artificial Intelligence Chip Market Report by Chip Type (GPU, ASIC, FPGA, CPU, and Others), Technology (System-on-Chip (SoC), System-In-Package (SIP), Multi-Chip Module, and Others), Processing Type (Edge, Cloud), Application Insights (Natural Language Processing (NLP), Robotics, Computer Vision, Network Security, and Others), Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, and Others), and Region 2024-2032

Artificial Intelligence Chip Market Report by Chip Type (GPU, ASIC, FPGA, CPU, and Others), Technology (System-on-Chip (SoC), System-In-Package (SIP), Multi-Chip Module, and Others), Processing Type (Edge, Cloud), Application Insights (Natural Language Processing (NLP), Robotics, Computer Vision, Network Security, and Others), Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, and Others), and Region 2024-2032

Report Format: PDF+Excel | Report ID: SR112024A5389
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Market Overview:

The global artificial intelligence chip market size reached US$ 18.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 150.4 Billion by 2032, exhibiting a growth rate (CAGR) of 25.8% during 2024-2032. The growing application in the automotive industry, increasing demand for AI-enabled machines, and rising investments in neuromorphic research activities represent some of the key factors driving the market.

Report Attribute 
Key Statistics
Base Year
2023
Forecast Years
2024-2032
Historical Years
2018-2023
Market Size in 2023
US$ 18.8 Billion
Market Forecast in 2032
US$ 150.4 Billion
Market Growth Rate 2024-2032 25.8%


Artificial intelligence (AI) chips are specially designed to run machine learning (ML) workloads through programming frameworks. They comprise field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs). They also consist of AI-optimized features, which can accelerate calculations and computing tasks required by AI algorithms. They rely on small transistors, which run faster and consume less energy as compared to large transistors. They are designed for applications that use artificial neural networks (ANN), which is a machine learning (ML) approach inspired by the human brain. They can execute tasks that are highly complex and dynamic by processing multiple streams of information simultaneously. They eliminate the need to rely on the cloud to store data, as these chips can run AI programs locally on the devices. As they offer natural language processing (NLP), computer vision, robotics, and network security, AI chips find applications in the automotive, information and technology (IT), healthcare, and retail industries across the globe.

Global Artificial Intelligence Chip Market

Artificial Intelligence Chip Market Trends:

At present, the rising adoption of AI technology in the automotive industry to manufacture driverless cars and achieve the L5 level of autonomous technology represents one of the key factors supporting the growth of the market. Besides this, there is an increase in the demand for AI-enabled machines to perform various tasks in challenging situations around the world. This, along with the growing focus on developing human-aware AI systems, is offering a favorable market outlook. In addition, key players are investing in neuromorphic research activities to develop techniques inspired by the real neurons in the brain function. They are also utilizing AI and machine learning (ML) to design the next generation of AI chips, which is contributing to the growth of the market. Moreover, the increasing demand for AI chips in consumer electronics, such as laptops, desktops, and gaming consoles, is offering lucrative growth opportunities to industry investors. Apart from this, there is a rise in the employment of advanced technologies in various industries, such as computer vision, big data, augmented reality (AR), and virtual reality (VR), across the globe. This, coupled with the growing utilization of quantum computing technologies to tackle complicated issues and perform analytical computations, is positively influencing the market.

 

 
 

 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global artificial intelligence chip market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on chip type, technology, processing type, application and industry vertical.

Chip Type Insights:

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others
     

The report has provided a detailed breakup and analysis of the artificial intelligence chip market based on the chip type. This includes GPU, ASIC, FPGA, CPU, and others. According to the report, GPU represented the largest segment.

Technology Insights:

 

 
 

 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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A detailed breakup and analysis of the artificial intelligence chip market based on the technology has also been provided in the report. This includes system-on-chip (SoC), system-in-package (SIP), multi-chip module, and others. According to the report, system-on-chip (SoC) accounted for the largest market share.

Processing Type Insights:

  • Edge
  • Cloud
     

A detailed breakup and analysis of the artificial intelligence chip market based on the processing type has also been provided in the report. This includes edge and cloud. According to the report, cloud accounted for the largest market share.

Application Insights:

A detailed breakup and analysis of the artificial intelligence chip market based on the application has also been provided in the report. This includes natural language processing (NLP), robotics, computer vision, network security, and others. According to the report, natural language processing (NLP) accounted for the largest market share.

Industry Vertical Insights:

  • Media and Advertising
  • BFSI
  • IT and Telecom
  • Retail
  • Healthcare
  • Automotive and Transportation
  • Others
     

A detailed breakup and analysis of the artificial intelligence chip market based on the industry vertical has also been provided in the report. This includes media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation, and others. According to the report, BFSI accounted for the largest market share.

Regional Insights:

 

 
 

 

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  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa
     

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America (the United States and Canada) was the largest market for artificial intelligence chip. Some of the factors driving the North America artificial intelligence chip market included the growing application in consumer electronics, integration of voice commands in various products, availability of several market players, etc.

Competitive Landscape:

The report has also provided a comprehensive analysis of the competitive landscape in the global artificial intelligence chip market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Advanced Micro Devices Inc., Huawei Technologies Co. Ltd., Intel Corporation, LG Electronics Inc. (LG Corporation), Mediatek Inc., Micron Technology Inc., Mythic Inc., Nvidia Corporation, NXP Semiconductors N.V., Qualcomm Technologies Inc, SK hynix Inc., Toshiba Corporation, etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.

Report Coverage:

Report Features Details
Base Year of the Analysis 2023
Historical Period 2018-2023
Forecast Period 2024-2032
Units US$ Billion
Segment Coverage Chip Type, Technology, Processing Type, Application, Industry Vertical, Region
Region Covered  Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered Advanced Micro Devices Inc., Huawei Technologies Co. Ltd., Intel Corporation, LG Electronics Inc. (LG Corporation), Mediatek Inc., Micron Technology Inc., Mythic Inc., Nvidia Corporation, NXP Semiconductors N.V., Qualcomm Technologies Inc, SK hynix Inc. and Toshiba Corporation
Customization Scope 10% Free Customization
Report Price and Purchase Option Single User License: US$ 3899
Five User License: US$ 4899
Corporate License: US$ 5899
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)


Key Benefits for Stakeholders:

  • IMARC’s report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the artificial intelligence chip market from 2018-2032.
  • The research study provides the latest information on the market drivers, challenges, and opportunities in the global artificial intelligence chip market.
  • The study maps the leading, as well as the fastest-growing, regional markets. It further enables stakeholders to identify the key country-level markets within each region.
  • Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the artificial intelligence chip industry and its attractiveness.
  • Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.

Key Questions Answered in This Report

The global artificial intelligence chip market was valued at US$ 18.8 Billion in 2023.

We expect the global artificial intelligence chip market to exhibit a CAGR of 25.8% during 2024-2032.

The increasing demand for faster processing of big data volumes, that provide minimum human errors as well as data privacy and security, is primarily driving the global artificial intelligence chip market.

The sudden outbreak of the COVID-19 pandemic has led to the rising adoption of artificial intelligence chip to aid in enabling efficient operations on account of increasing deployment of Work-From-Home models by numerous organizations during the lockdown scenario.

Based on the chip type, the global artificial intelligence chip market can be segregated into GPU, ASIC, FPGA, CPU, and others. Among these, GPU represents clear dominance in the market.

Based on the technology, the global artificial intelligence chip market has been divided into System-on-Chip (SoC), System-In-Package (SIP), multi-chip module, and others. Currently, System-on-Chip (SoC) technology exhibits a clear dominance in the market.

Based on the processing type, the global artificial intelligence chip market can be categorized into edge and cloud, where cloud processer holds the majority of the global market share.

Based on the application, the global artificial intelligence chip market has been segmented into natural language processing (NLP), robotics, computer vision, network security, and others. Among these, natural language processing (NLP) segment represents the largest market share.

Based on the industry vertical, the global artificial intelligence chip market can be bifurcated into media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation, and others. Currently, the BFSI sector accounts for the majority of the total market share.

On a regional level, the market has been classified into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America, where North America currently dominates the global market.

Some of the major players in the global artificial intelligence chip market include Advanced Micro Devices Inc., Huawei Technologies Co. Ltd., Intel Corporation, LG Electronics Inc. (LG Corporation), Mediatek Inc., Micron Technology Inc., Mythic Inc., Nvidia Corporation, NXP Semiconductors N.V., Qualcomm Technologies Inc, SK hynix Inc., and Toshiba Corporation.

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Artificial Intelligence Chip Market Report by Chip Type (GPU, ASIC, FPGA, CPU, and Others), Technology (System-on-Chip (SoC), System-In-Package (SIP), Multi-Chip Module, and Others), Processing Type (Edge, Cloud), Application Insights (Natural Language Processing (NLP), Robotics, Computer Vision, Network Security, and Others), Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, and Others), and Region 2024-2032
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