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市场调查报告书
商品编码
1418057

AI 训练晶片市场报告：2030 年趋势、预测与竞争分析

AI Training Chip Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 - page report | 商品交期: 3个工作天内

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简介目录

AI训练晶片趋势与预测

预计2024年至2030年全球人工智慧训练晶片市场将以30.1%的复合年增长率成长。该市场的主要驱动因素是深度学习演算法的日益普及以及各个最终用途行业对人工智慧驱动的应用程式的需求不断增长。全球人工智慧训练晶片市场前景广阔，自然语言处理、机器人、电脑视觉和网路安全市场充满机会。

AI训练晶片市场洞察

Lucintel 预测，由于其经济性和可用性，CPU 在预测期内仍将是最大的细分市场。

在这个市场中，由于对自动化任务、增强客户服务以及从资料中获取新见解的需求不断增长，自然语言处理将继续成为最大的细分市场。

由于新兴企业的增加和政府的持续支持，亚太地区在预测期内可能仍然是最大的地区。

常问问题

Q1.市场成长预测如何？

A1. 2024年至2030年，全球人工智慧训练晶片市场预计将以30.1%的复合年增长率成长。

Q2.影响市场成长的主要驱动因素有哪些？

A2. 该市场的主要驱动因素是深度学习演算法的日益采用以及各个最终用途行业对人工智慧驱动的应用程式的需求不断增长。

Q3.市场的主要细分市场有哪些？

A3.AI训练晶片市场未来性广阔，自然语言处理、机器人、电脑视觉、网路安全市场机会庞大。

Q4.市场上主要企业有哪些？

A4.生产AI训练晶片的主要企业如下。

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

Q5.未来最大的细分市场是什么？

A5.Lucintel 预测，由于其经济性和可用性，CPU 在预测期内仍将是最大的细分市场。

Q6. 未来五年预计哪个地区将成为最大的市场？

由于新兴企业的增加和政府的持续支持，A6.APAC 在预测期内仍将是最大的地区。

Q7. 可以客製化报告吗？

A7. 是的，Lucintel 提供 10% 的客製化服务，无需额外费用。

目录

第一章执行摘要

第二章 全球人工智慧训练晶片市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球AI训练晶片市场趋势（2018-2023）及预测（2024-2030）
  • 按晶片类型分類的全球人工智慧训练晶片市场
    • GPU
    • CPU
    • ASIC
    • FPGA
    • 其他的
  • 全球人工智慧训练晶片市场按硬体划分
    • 处理器
    • 记忆
    • 通讯网路
    • 其他的
  • 全球人工智慧训练晶片市场按应用
    • 自然语言处理
    • 机器人技术
    • 电脑视觉
    • 网路安全
    • 其他的
  • 全球人工智慧训练晶片市场（按最终用途）
    • BFSI
    • 卫生保健
    • 汽车和交通
    • 资讯科技和电讯
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 全球AI训练晶片市场区域分布
  • 北美AI训练晶片市场
  • 欧洲AI训练晶片市场
  • 亚太AI训练晶片市场
  • 其他地区AI训练晶片市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球人工智慧训练晶片市场成长机会（按晶片类型）
    • 全球人工智慧训练晶片市场成长机会（按硬体）
    • 全球人工智慧训练晶片市场成长机会（按应用）
    • 全球人工智慧训练晶片市场成长机会（按最终用途）
    • 全球人工智慧训练晶片市场成长机会（按地区）
  • 全球AI训练晶片市场新趋势
  • 战略分析
    • 新产品开发
    • 全球AI训练晶片市场产能扩张
    • 全球AI训练晶片市场併购及合资情况
    • 认证和许可

第七章主要企业概况

  • Tesla
  • NVIDIA
  • Intel
  • Graphcore
  • Google
  • Qualcomm
  • Shanghai Enflame Technology
简介目录

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.

A more than 150-page report is developed to help in your business decisions.

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

Lucintel 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: Lucintel 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, Lucintel 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?

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
    • 4.2.2: 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