Machine Learning Chip Market Report by Technology (System-on-Chip (SoC), System-in-Package, Multi-chip Module, and Others), Chip Type (GPU, ASIC, FPGA, CPU, and Others), Industry Vertical (BFSI, IT and Telecom, Media and Advertising, Retail, Healthcare, Automotive, and Others), and Region 2024-2032

Machine Learning Chip Market Report by Technology (System-on-Chip (SoC), System-in-Package, Multi-chip Module, and Others), Chip Type (GPU, ASIC, FPGA, CPU, and Others), Industry Vertical (BFSI, IT and Telecom, Media and Advertising, Retail, Healthcare, Automotive, and Others), and Region 2024-2032

Report Format: PDF+Excel | Report ID: SR112024A5258
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Market Overview:

The global machine learning chip market size reached US$ 9.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 62.1 Billion by 2032, exhibiting a growth rate (CAGR) of 22.4% during 2024-2032. The rapid emergence of quantum computing, increasing demand for efficient systems to solve computational problems, and rising development of smart cities and smart homes 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$ 9.7 Billion
Market Forecast in 2032
US$ 62.1 Billion
Market Growth Rate 2024-2032 22.4%


Machine learning (ML) chip comprises artificial intelligence (AI) technology that that is designed to support deep learning-based applications. It involves various technologies, such as system-on-chip (SoC), multi-chip module, and system-in-package, and its hardware infrastructure includes computing, storing, and networking. It is installed in a system to enhance intellectual property cores and improve design and tool flows. It is cost-effective and assists in preventing errors in a workflow, and efficiently saves a huge amount of data. It offers high speed, increases efficiency, and consumes less energy as compared to larger transistors. Besides this, it aids in improving performance, power, optimization, and analytics. As a result, the ML chip is widely employed in the automotive, healthcare, retail, media and advertising, information technology (IT) and telecommunication, and banking, financial services, and insurance (BFSI) industries across the globe.

Global Machine Learning Chip Market Report

Machine Learning Chip Market Trends:

At present, the rising trend of digitalization and expansion of the IT and telecommunication industry around the world represent one of the key factors supporting the growth of the market. In addition, the increasing number of cyber-attacks encourages businesses to utilize database management and fraud detection systems, which is propelling the growth of the market. Apart from this, the rising demand for ML chips due to the development of smart cities and smart homes across the globe is offering lucrative growth opportunities to industry investors. Moreover, the increasing emergence of quantum computing, along with the implementation of ML chips in robotics to reduce human intervention and errors around the world, is positively influencing the market. Besides this, the growing adoption of ML chips on account of the escalating demand for efficient systems to solve mathematical and computational problems is offering a positive market outlook. Additionally, the rising integration of big data analytics and cloud computing to provide enhanced services among numerous industries across the globe is contributing to the growth of the market. This, coupled with the increasing utilization of ML chips for real-time consumer behavior insights, is impelling the growth of the market. Furthermore, the rising preference toward GPUs from CPUs to perform several complex tasks in the gaming industry is strengthening the market growth.

 

 
 

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 machine learning chip market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on technology, chip type and industry vertical.

Technology Insights:

  • System-on-Chip (SoC)
  • System-in-Package
  • Multi-chip Module
  • Others
     

The report has provided a detailed breakup and analysis of the machine learning chip market based on the technology. This includes system-on-chip (SoC), system-in-package, multi-chip module, and others. According to the report, system-on-chip (SoC) represented the largest segment.

 

 
 

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.

To get more information about this market, Request Sample

Chip Type Insights:

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others
     

A detailed breakup and analysis of the machine learning chip market based on the chip type has also been provided in the report. This includes GPU, ASIC, FPGA, CPU, and others. According to the report, GPU accounted for the largest market share.

Industry Vertical Insights:

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

A detailed breakup and analysis of the machine learning chip market based on the industry vertical has also been provided in the report. This includes BFSI, IT and telecom, media and advertising, retail, healthcare, automotive, 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 machine learning chip. Some of the factors driving the North America machine learning chip market included the growing concern about security of critical infrastructure, increasing demand for quantum computing, rising utilization in the IT industry, etc.

Competitive Landscape:

The report has also provided a comprehensive analysis of the competitive landscape in the global machine learning 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., Amazon Web Services Inc. (Amazon.com Inc.), Cerebras Inc., Google LLC, Graphcore, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd., Taiwan Semiconductor Manufacturing Company Limited., 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 Technology, Chip Type, 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., Amazon Web Services Inc. (Amazon.com Inc.), Cerebras Inc., Google LLC, Graphcore, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd. and Taiwan Semiconductor Manufacturing Company Limited
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 machine learning chip market from 2018-2032.
  • The research study provides the latest information on the market drivers, challenges, and opportunities in the global machine learning 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 machine learning 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 machine learning chip market was valued at US$ 9.7 Billion in 2023.

We expect the global machine learning chip market to exhibit a CAGR of 22.4% during 2024-2032.

The emerging trend of device miniaturization, along with the rising consumer inclination towards graphics processing units (GPUs) to simultaneously perform various complex tasks, is primarily driving the global machine learning chip market.

The sudden outbreak of the COVID-19 pandemic has led to the growing integration of machine learning chip with robotic technologies to reduce human interventions and enhance operational efficiency.

Based on the technology, the global machine learning chip market can be categorized into System-on-Chip (SoC), system-in-package, multi-chip module, and others. Currently, System-on-Chip (SoC) technology exhibits a clear dominance in the market.

Based on the chip type, the global machine learning chip market has been segmented into GPU, ASIC, FPGA, CPU, and others. Among these, GPU chip currently represents the largest market share.

Based on the industry vertical, the global machine learning chip market can be bifurcated into BFSI, IT and telecom, media and advertising, retail, healthcare, automotive, and others. Currently, the BFSI industry accounts for the majority of the global 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 machine learning chip market include Advanced Micro Devices Inc., Amazon Web Services Inc. (Amazon.com Inc.), Cerebras Inc., Google LLC, Graphcore, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd., and Taiwan Semiconductor Manufacturing Company Limited.

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Machine Learning Chip Market Report by Technology (System-on-Chip (SoC), System-in-Package, Multi-chip Module, and Others), Chip Type (GPU, ASIC, FPGA, CPU, and Others), Industry Vertical (BFSI, IT and Telecom, Media and Advertising, Retail, Healthcare, Automotive, and Others), and Region 2024-2032
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