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Artificial Intelligence Chip Market Size is Projected to Reach US$ 150.4 Billion by 2032, Grow at CAGR of 25.8%

Artificial intelligence (AI) chips are specially designed to run machine learning (ML) workloads through programming frameworks.
Published 16 April 2024

IMARC Group's report titled "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 (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", Offers a comprehensive analysis of the industry, which comprises insights on the artificial intelligence chip market

How big is the global artificial intelligence chip market?

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.

Factors Affecting the Growth of the Artificial Intelligence Chip Industry:

  • Increasing Demand for AI Applications:

The adoption of artificial intelligence (AI) is experiencing unprecedented growth across various sectors such as healthcare, automotive, finance, and manufacturing. This widespread integration of AI is primarily driven by the technology’s ability to streamline operations, enhance decision-making processes, and innovate product offerings. Moreover, the growing healthcare sector is using AI for diagnostic processes, patient management, and personalized medicine, improving the efficiency and accuracy of medical services. Besides this, the expanding automotive sector contributes to the development of autonomous driving technologies and smarter vehicle ecosystems. AI chips, specifically designed to accelerate AI tasks, are thus becoming essential components in powering these advanced applications.

  • Advancements in AI Technologies:

AI technologies are evolving, becoming more complex and capable. Modern AI algorithms, such as deep learning and machine learning (ML), require substantial computational power to process and learn from vast amounts of data. This progression in AI capabilities has spurred the development of more advanced and efficient AI chips. These specialized processors are designed to handle specific AI workloads, offering faster processing speeds and greater energy efficiency compared to general-purpose processors. The advancements in AI chip technology include innovations in neural network accelerators and graphical processing units (GPUs), which are essential in executing intensive AI tasks. Furthermore, companies are exploring the potential of quantum computing to enhance AI capabilities, promising even greater advancements in processing power which is improving the performance of AI applications, thus contributing to the market growth.

  • Rising Government Initiatives and Investments:

Governments are recognizing the transformative potential of AI technologies and are launching initiatives and funding programs to support their development and adoption. These governmental efforts are essential in stimulating the growth of the AI sector, encouraging research and innovation, and facilitating the commercialization of AI technologies. For instance, initiatives such as grants for AI research, tax incentives for AI startups, and investment in AI-driven public sector projects are common strategies employed to foster the AI ecosystem. These government-backed initiatives provide essential support for overcoming the high costs and technical challenges associated with AI development, making it more accessible for businesses and researchers across the globe.

For an in-depth analysis, you can refer sample copy of the report: https://www.imarcgroup.com/artificial-intelligence-chip-market/requestsample

Leading Companies Operating in the Global Artificial Intelligence Chip Industry:

  • 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

Artificial Intelligence Chip Market Report Segmentation:

By Chip Type:

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others

Graphics processing units (GPU) represent the largest market segment, due to their high computational power and efficiency in handling complex AI tasks such as deep learning and neural network processing.

By Technology:

  • System-on-Chip (SoC)
  • System-In-Package (SIP)
  • Multi-Chip Module
  • Others

System-on-Chip (SoC) accounts for the largest market share, as it integrates all components of a computer or other electronic system into a single chip, offering cost efficiency and performance benefits for AI applications.

By Processing Type:

  • Edge
  • Cloud

Cloud processing dominates the market due to its scalability, cost-effectiveness, and the ability to handle large datasets required for training sophisticated AI models.

By Application: 

Natural language processing (NLP) holds the largest market segment due to its widespread use in enhancing customer interactions, processing large volumes of text data, and supporting various services like translation, sentiment analysis, and chatbots.

By Industry Vertical:

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

Banking, financial services, and insurance (BFSI) account for the largest market share, as AI technology significantly enhances data security, fraud detection, customer service, and personalization in financial services.

Regional Insight:

  • 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

North America’s dominance in the artificial intelligence chip market is attributed to its advanced technological infrastructure, significant investments in AI, and the presence of major AI technology developers and adopters.

Global Artificial Intelligence Chip Market Trends:

At present, various industries such as healthcare, automotive, manufacturing, and retail are integrating AI into their products and services which is escalating the demand for AI chips. It is designed to meet the specific needs of each industry, such as image recognition, natural language processing, and autonomous driving. Moreover, companies in the AI chip market are forming strategic partnerships and collaborations to accelerate innovation and address complex challenges. These partnerships involve semiconductor manufacturers, AI software developers, research institutions, and end-users working together to co-develop AI solutions and drive market growth.

About Us:

IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.

IMARCs information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the companys expertise.

Our offerings include comprehensive market intelligence in the form of research reports, production cost reports, feasibility studies, and consulting services. Our team, which includes experienced researchers and analysts from various industries, is dedicated to providing high-quality data and insights to our clientele, ranging from small and medium businesses to Fortune 1000 corporations.

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