Global Artificial Intelligence Chipsets Market Insights Forecasts to 2032

• The Artificial Intelligence Chipsets Market Size was valued at USD 17.43 Billion in 2022.
• The Market is Growing at a CAGR of 31.4% from 2022 to 2032
• The Worldwide Artificial Intelligence Chipsets Market Size is expected to reach USD 267.46 Billion by 2032
• Europe is Expected to grow the fastest during the forecast period

The Global Artificial Intelligence Chipsets Market Size is expected to reach USD 267.46 Billion by 2032, at a CAGR of 31.4% during the forecast period 2022 to 2032.

Market Overview

Artificial intelligence (AI) chipsets are specialized hardware components designed to accelerate AI tasks, enabling faster and more efficient processing of complex algorithms. These chipsets are specifically optimized for AI workloads, such as deep learning and machine learning, and offer superior performance compared to traditional processors. AI chipsets utilize advanced technologies like parallel processing, vector computing, and neural network architectures to handle massive amounts of data and execute complex computations in real-time. AI chipsets are used in a wide range of applications, including autonomous vehicles, robotics, natural language processing, computer vision, and data analytics. They enable devices to perform tasks like image recognition, speech synthesis, and predictive modeling with greater speed and accuracy. As AI continues to advance, the demand for more powerful and energy-efficient chipsets will increase. These advancements will further drive innovation and enable AI to be integrated into a broader range of devices and industries, revolutionizing how we interact with technology.

Report Coverage

This research report categorizes the market for artificial intelligence chipsets market based on various segments and regions and forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the artificial intelligence chipsets market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segments of the artificial intelligence chipsets market.

Driving Factors

There are several drivers behind the growth of the artificial intelligence (AI) chipsets market. Firstly, the increasing demand for high-performance computing and machine learning capabilities in applications like autonomous vehicles, robotics, and natural language processing is driving the market. Secondly, the availability of large amounts of data and the need for its processing in real-time is also driving the market. Thirdly, the growing investments in AI technology by tech giants like Google, Microsoft, and IBM are further driving the market. Additionally, the increasing adoption of cloud-based services, the growing demand for smart devices, and the rising need for cost-effective and energy-efficient solutions are also driving the market. Furthermore, the proliferation of IoT devices and the need for data processing at the edge are contributing to the growth of the AI chipset market.

Restraining Factors

While the artificial intelligence (AI) chipsets market has seen significant growth, there are also restraints that need to be considered. One key restraint is the high cost associated with AI chipsets, making them inaccessible for some businesses and consumers. Additionally, the complexity of implementing AI chipsets and the lack of skilled professionals in this field pose challenges. Another restraint is the limited availability of AI-ready software and algorithms, hindering the adoption of AI chipsets. Furthermore, privacy and security concerns surrounding AI technologies, particularly in sensitive industries like healthcare and finance, act as restraints.

Market Segmentation

• The memory segment is expected to grow at a CAGR of around 37% during the forecast period

On the basis of the hardware, the global artificial intelligence chipsets market is segmented into processors, memory, and network. The memory segment is expected to witness significant growth in the forecast period in the Artificial Intelligence (AI) Chipsets Market. This growth can be attributed to the increasing demand for high-performance memory solutions in AI applications. AI chipsets require large amounts of memory to store and process massive datasets and complex algorithms efficiently. As AI models become more sophisticated and require higher memory bandwidth, the demand for advanced memory technologies, such as high-speed dynamic random-access memory (DRAM) and non-volatile memory (NVM), is rising. Additionally, advancements in memory architectures, such as the introduction of HBM (High Bandwidth Memory) and GDDR (Graphics Double Data Rate) technologies, are enhancing memory performance for AI chipsets. The memory segment's growth is driven by the need for faster data access, improved computational performance, and enhanced energy efficiency in AI-driven applications.

• In 2022, the patient data and risk analysis segment dominated with more than 23% market share

Based on end-user, the global artificial intelligence chipsets market is segmented into healthcare, manufacturing, automotive, agriculture, retail, cybersecurity, human resources, marketing, law, fintech, and government. Out of this, the patient data and risk analysis segment is dominating the market with the largest market share in 2022. This can be attributed to the increasing adoption of AI-powered analytics in the healthcare sector. AI chipsets are utilized to process and analyze large volumes of patient data, including electronic health records, medical imaging, genomics, and wearable device data. The ability of AI chipsets to quickly and accurately analyze patient data enables healthcare professionals to gain valuable insights for diagnosis, treatment planning, and personalized healthcare. Moreover, risk analysis plays a crucial role in healthcare, especially in predicting disease outcomes, identifying high-risk patients, and optimizing treatment strategies. AI chipsets are instrumental in processing complex algorithms and predictive models, allowing for effective risk assessment and analysis. The combination of AI chipsets and patient data analytics empowers healthcare providers to make informed decisions, improve patient outcomes, enhance operational efficiency, and reduce costs. As a result, the patient data and risk analysis segment have emerged as a major market driver, transforming healthcare practices and contributing to improved patient care.

Regional Segment Analysis of the Artificial Intelligence Chipsets Market

• North America (U.S., Canada, Mexico) 
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America) 
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

North America dominated the market with more than 38.5% revenue share in 2022.

Based on region, North America held the largest market share in the artificial intelligence (AI) chipsets market due to the presence of key market players, such as NVIDIA, Intel, and IBM, in the region. The region is also a hub for AI research and development, with several universities and research institutes conducting groundbreaking research in the field. The growing demand for AI-powered applications in industries like healthcare, automotive, and finance is also driving market growth in the region. Additionally, the high adoption rate of advanced technologies like IoT and cloud computing is further fueling the demand for AI chipsets in North America. Overall, these factors have contributed to the region's dominance in the AI chipsets market, and this trend is expected to continue in the foreseeable future.

Recent Developments

• In May 2022, Intel has unveiled two novel deep-learning processors, namely Habana Gaudi2 and Habana GrecoTM, which cater to the need for advanced instruction and inference capabilities. These cutting-edge processors address a gap in the market by providing clients with efficient and powerful computing solutions for deep learning tasks, including simultaneous training and inference operations within data centers. Additionally, they play a crucial role in overcoming the barriers that hinder businesses of all scales from adopting artificial intelligence technology.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global artificial intelligence chipsets market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Companies:

• NVIDIA Corporation
• Intel Corporation
• Xilinx, Inc.
• Samsung Electronics Co., Ltd.
• Micron Technology Inc.
• Qualcomm Technologies, Inc.
• International Business Machines Corporation
• Google Inc.
• Microsoft Corporation
• Amazon Web Services
• Advanced Micro Devices, Inc.
• General Vision, Inc.
• Huawei Technologies Co., Ltd.

Key Target Audience

• Market Players
• Investors
• End-Users
• Government Authorities 
• Consulting and Research Firm
• Venture Capitalists
• Value-Added Resellers (VARs)

Market Segment

This study forecasts revenue at global, regional, and country levels from 2019 to 2032. Spherical Insights has segmented the global artificial intelligence chipsets market based on the below-mentioned segments:

Global Artificial Intelligence Chipsets Market, By Hardware

• Processor
• Memory
• Network

Global Artificial Intelligence Chipsets Market, By Technology

• Machine Learning
• Natural Language Processing
• Context-aware Computing
• Computer Vision
• Predictive Analysis

Global Artificial Intelligence Chipsets Market, By Function

• Training
• Inference

Global Artificial Intelligence Chipsets Market, By End-User

• Healthcare
• Manufacturing
• Automotive
• Agriculture
• Retail
• Cybersecurity
• Human Resources
• Marketing
• Law
• Fintech
• Government

Artificial Intelligence Chipsets Market, Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of Middle East & Africa