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AI Training Chip Market Report: Trends, Forecast and Competitive Analysis to 2030

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    Report

  • 150 Pages
  • January 2024
  • Region: Global
  • Lucintel
  • ID: 5929090

AI Training Chip Trends and Forecast

The future of the global AI training chip market looks promising with opportunities in the natural language processing, robotics, computer vision, and network security markets. The global AI training chip market is expected to grow with a CAGR of 30.1% from 2024 to 2030. The major drivers for this market are increasing adoption of deep learning algorithms and rising demand for AI-powered applications in various end-use industries.

AI Training Chip by Segment

The study includes a forecast for the global AI training chip by chip type, hardware, application, end use, and region.

AI Training Chip Market by Chip Type [Shipment Analysis by Value from 2018 to 2030]

  • GPU
  • CPU
  • ASIC
  • FPGA
  • Others

AI Training Chip Market by Hardware [Shipment Analysis by Value from 2018 to 2030]

  • Processor
  • Memory
  • Network
  • Others

AI Training Chip Market by Application [Shipment Analysis by Value from 2018 to 2030]

  • Natural Language Processing
  • Robotics
  • Computer Vision
  • Network Security
  • Others

AI Training Chip Market by End Use [Shipment Analysis by Value from 2018 to 2030]

  • BFSI
  • Healthcare
  • Automotive and Transportation
  • IT and Telecommunications
  • Others

AI Training Chip Market by Region [Shipment Analysis by Value from 2018 to 2030]

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of AI Training Chip Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI training chip companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI training chip companies profiled in this report include-
  • Tesla
  • Nvidia
  • Intel
  • Graphcore
  • Google
  • Qualcomm
  • Shanghai Enflame Technology

AI Training Chip Market Insights

The publisher forecasts that CPU will remain the largest segment over the forecast period as it is affordable and readily available.

Within this market, natural language processing will remain the largest segment due to growing demand for task automation, enhancing customer service, and deriving novel insights from data.

APAC will remain the largest region over the forecast period due to increasing number of startups and continuous government support in the region.

Features of the Global AI Training Chip Market

  • Market Size Estimates: AI training chip market size estimation in terms of value ($B).
  • Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
  • Segmentation Analysis: AI training chip market size by various segments, such as by chip type, hardware, application, end use, and region in terms of value ($B).
  • Regional Analysis: AI training chip market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
  • Growth Opportunities: Analysis of growth opportunities in different chip types, hardware, applications, end uses, and regions for the AI training chip market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI training chip market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the growth forecast for AI training chip market?
Answer: The global AI training chip market is expected to grow with a CAGR of 30.1% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of the AI training chip market?
Answer: The major drivers for this market are increasing adoption of deep learning algorithms and rising demand for AI-powered applications in various end-use industries.

Q3. What are the major segments for AI training chip market?
Answer: The future of the AI training chip market looks promising with opportunities in the natural language processing, robotics, computer vision, and network security markets.

Q4. Who are the key AI training chip market companies?
Answer: Some of the key AI training chip companies are as follows:
  • Tesla
  • Nvidia
  • Intel
  • Graphcore
  • Google
  • Qualcomm
  • Shanghai Enflame Technology
Q5. Which AI training chip market segment will be the largest in future?
Answer: The publisher forecasts that CPU will remain the largest segment over the forecast period as it is affordable and readily available.

Q6. In AI training chip market, which region is expected to be the largest in next 5 years?
Answer: APAC will remain the largest region over the forecast period due to increasing number of startups and continuous government support in the region.

Q7. Do we receive customization in this report?
Answer: Yes,the publisher provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the AI training chip market by chip type (GPU, CPU, ASIC, FPGA, and others), hardware (processor, memory, network, and others), application (natural language processing, robotics, computer vision, network security, and others), end use (BFSI, healthcare, automotive and transportation, IT and telecommunications, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?


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Table of Contents

1. Executive Summary
2. Global AI Training Chip Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI Training Chip Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI Training Chip Market by Chip Type
3.3.1: GPU
3.3.2: CPU
3.3.3: ASIC
3.3.4: FPGA
3.3.5: Others
3.4: Global AI Training Chip Market by Hardware
3.4.1: Processor
3.4.2: Memory
3.4.3: Network
3.4.4: Others
3.5: Global AI Training Chip Market by Application
3.5.1: Natural Language Processing
3.5.2: Robotics
3.5.3: Computer Vision
3.5.4: Network Security
3.5.5: Others
3.6: Global AI Training Chip Market by End Use
3.6.1: BFSI
3.6.2: Healthcare
3.6.3: Automotive and Transportation
3.6.4: IT and Telecommunications
3.6.5: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global AI Training Chip Market by Region
4.2: North American AI Training Chip Market
4.2.1: North American AI Training Chip Market by Application: Natural Language Processing, Robotics, Computer Vision, Network Security, and Others
4.3: European AI Training Chip Market
4.3.1: European AI Training Chip Market by Chip Type: GPU, CPU, ASIC, FPGA, and Others
4.3.2: European AI Training Chip Market by Application: Natural Language Processing, Robotics, Computer Vision, Network Security, and Others
4.4: APAC AI Training Chip Market
4.4.1: APAC AI Training Chip Market by Chip Type: GPU, CPU, ASIC, FPGA, and Others
4.4.2: APAC AI Training Chip Market by Application: Natural Language Processing, Robotics, Computer Vision, Network Security, and Others
4.5: ROW AI Training Chip Market
4.5.1: ROW AI Training Chip Market by Chip Type: GPU, CPU, ASIC, FPGA, and Others
4.5.2: ROW AI Training Chip Market by Application: Natural Language Processing, Robotics, Computer Vision, Network Security, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI Training Chip Market by Chip Type
6.1.2: Growth Opportunities for the Global AI Training Chip Market by Hardware
6.1.3: Growth Opportunities for the Global AI Training Chip Market by Application
6.1.4: Growth Opportunities for the Global AI Training Chip Market by End Use
6.1.5: Growth Opportunities for the Global AI Training Chip Market by Region
6.2: Emerging Trends in the Global AI Training Chip Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI Training Chip Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Training Chip Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Tesla
7.2: NVIDIA
7.3: Intel
7.4: Graphcore
7.5: Google
7.6: Qualcomm
7.7: Shanghai Enflame Technology

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Tesla
  • Nvidia
  • Intel
  • Graphcore
  • Google
  • Qualcomm
  • Shanghai Enflame Technology

Methodology

The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the analyst team. The analysts used the following sources for the creation and completion of this valuable report:

  • In-depth interviews of the major players in the market
  • Detailed secondary research from competitors’ financial statements and published data
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of professionals, who have analyzed and tracked the market over the years.

Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.

Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.

 

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