Artificial Intelligence Chipsets Market 2023 – 2030 By Function (Training, Inference), Hardware (Processor, Memory, Network), End-user Industry, Technology (Machine Learning, Natural Language Processing, Computer Vision) - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competive Index & Regional Footprints by MarketDigits

Industry : Electronics & Semiconductors | Pages : 149 Pages | Published On : Jun 2023

The artificial intelligence chipsets market size is estimated to grow from USD 7.2 Billion in 2020 to USD 80.6 Billion by 2027, growing at a CAGR of 41.2% during the forecast year from 2021 to 2027.

Artificial intelligence chips are silicon chips, which slot in artificial intelligence technology and are indulged with machine learning. AI supports in minimizing the risk to human life in numerous industry verticals. The emergence of quantum computing and increase in adoption of AI chips in robotics boosts the growth of the artificial intelligence chip market globally.

The artificial intelligence chipsets market is bifurcated into product, technology, end-user and region. The deep learning, sub-segment of technology is capable of unsupervised learning from unstructured data. Deep learning has been considered as an alarming tool for enterprises that require actionable insights and facilitate automated responses to bulky unstructured data. Many of the highly developed automation found in enterprise artificial intelligence platforms is recognized for the growth and adoption of machine learning and deep learning.

The North America region is anticipated to witness highest market share during the forecast period. The region was accounted for more than 40.0% share during the base year, due to a large number of major players based in the U.S. for AI chipset. The research covers the current and historic artificial intelligence chipsets market size and its growth trend with company outline of Key players/manufacturers: Google, Samsung Electronics, Microsoft, Micron Technology, Qualcomm Technologies, Intel, Amazon Web Services (AWS), IBM, Nvidia, and Xilinx among others.

The artificial intelligence chipsets market research report provides an in-depth overview of the industry including market segmentation by product, technology, end-user and geography. Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.

The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.

Artificial Intelligence Chipsets Market Scope and Market Size

Artificial intelligence chipsets market is segmented by region and further by countries, product, technology, and end-user. Players, stakeholders, and other participants in the global artificial intelligence chipsets market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2016-2027.

Report further studies the market development status and future and Artificial Intelligence Chipsets Market trend across the world. Also, it splits artificial intelligence chipsets market segmentation by product, technology, end-user and region to deep dive research and reveals market profile and prospects.

Major Classifications are as follows:

By Product

  • Graphics processing unit (GPU)
  • Application Specific Integrated Circuit (ASIC)
  • Central Processing Unit (CPU)
  • Field-Programmable Gate Array (FPGA)

By Technology

  • Natural Language Processing (NLP)
  • Robotic Process Automation (RPA)
  • Computer vision
  • Network security
  • Machine Learning
  • Deep Learning
  • Supervised Learning
  • Reinforced Learning
  • Unsupervised Learning
  • Others

By End-user

  • Media & advertising
  • Consumer electronics
  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Automotive
  • Others

Reason to purchase this report:

  • Determine prospective investment areas based on a detailed trend analysis of the global market over the next years.
  • Gain an in-depth understanding of the underlying factors driving demand for different and artificial intelligence chipsets market segments in the top spending countries across the world and identify the opportunities offered by each of them.
  • Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
  • Identify the major channels that are driving the global artificial intelligence chipsets market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
  • Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global artificial intelligence chipsets market.
  • Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top artificial intelligence chipsets market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.

Table of Contents:

    • Key Takeaways
    • Report Description
    • Market Scope & Definition
    • Stakeholders
    • Research Methodology
      • Market Size
      • Key Data Points From Primary Sources
      • Key Data Points From Secondary Sources
      • List Of Primary Sources
      • List Of Secondary Sources
    • Industry Segmentation
    • Market Trends Analysis
    • Major Funding & Investments
    • Market Dynamics
      • Drivers
      • Restraints
      • Opportunities
    • Value Chain Analysis
    • Pricing Analysis
    • Impact of Covid-19 On Artificial Intelligence Chipsets Market By Product
    • Impact Of Covid-19 On Artificial Intelligence Chipsets Market By Technology
    • Impact Of Covid-19 On Artificial Intelligence Chipsets Market By End-user
    • Impact of Covid-19 On Artificial Intelligence Chipsets Market by Region
    • Introduction
    • Graphics processing unit (GPU)
    • Application Specific Integrated Circuit (ASIC)
    • Central Processing Unit (CPU)
    • Field-Programmable Gate Array (FPGA)
    • Natural Language Processing (NLP)
    • Robotic Process Automation (RPA)
    • Computer vision
    • Network security
    • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Reinforced Learning
    • Unsupervised Learning
    • Others
    • Media & advertising
    • Consumer electronics
    • BFSI
    • IT & Telecom
    • Retail
    • Healthcare
    • Automotive
    • Others
    • North America
      • U.S.
      • Canada
    • Europe
      • Germany
      • U.K.
      • France
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • Rest Of Asia Pacific
    • Rest of the World
      • Middle East
      • Africa
    • Introduction
    • Top Companies Ranking
    • Market Share Analysis
    • Recent Developments
      • New Product Launch
      • Mergers & Acquisitions
      • Collaborations, Partnerships & Agreements
      • Rewards & Recognition
    • Google
    • Samsung Electronics
    • Microsoft
    • Micron Technology
    • Qualcomm Technologies
    • Intel
    • Amazon Web Services (AWS)
    • IBM
    • Nvidia
    • Xilinx


Table and Figures


At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.

This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.

The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.

Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.

Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.

In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.

To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.

The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.

In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.

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Covered Key Topics

Growth Opportunities

Market Growth Drivers

Leading Market Players

Company Market Share

Market Size and Growth Rate

Market Trend and Technological

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