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市場調查報告書
商品編碼
1418057

AI 訓練晶片市場報告：2030 年趨勢、預測與競爭分析

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個工作天內

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簡介目錄

AI訓練晶片趨勢與預測

預計2024年至2030年全球人工智慧訓練晶片市場將以30.1%的複合年成長率成長。該市場的主要促進因素是深度學習演算法的日益普及以及各個最終用途行業對人工智慧驅動的應用程式的需求不斷成長。全球人工智慧訓練晶片市場前景廣闊，自然語言處理、機器人、電腦視覺和網路安全市場充滿機會。

AI訓練晶片市場洞察

Lucintel 預測，由於其經濟性和可用性，CPU 在預測期內仍將是最大的細分市場。

在這個市場中，由於對自動化任務、增強客戶服務以及從資料中獲取新見解的需求不斷成長，自然語言處理將繼續成為最大的細分市場。

由於新興企業的增加和政府的持續支持，亞太地區在預測期內可能仍然是最大的地區。

常問問題

Q1.市場成長預測如何？

A1. 2024年至2030年，全球人工智慧訓練晶片市場預計將以30.1%的複合年成長率成長。

Q2.影響市場成長的主要促進因素有哪些？

A2. 該市場的主要促進因素是深度學習演算法的日益採用以及各個最終用途行業對人工智慧驅動的應用程式的需求不斷成長。

Q3.市場的主要細分市場有哪些？

A3.AI訓練晶片市場未來性廣闊，自然語言處理、機器人、電腦視覺、網路安全市場機會龐大。

Q4.市場上主要企業有哪些？

A4.生產AI訓練晶片的主要企業如下。

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

Q5.未來最大的細分市場是什麼？

A5.Lucintel 預測，由於其經濟性和可用性，CPU 在預測期內仍將是最大的細分市場。

Q6. 未來五年預計哪個地區將成為最大的市場？

由於新興企業的增加和政府的持續支持，A6.APAC 在預測期內仍將是最大的地區。

Q7. 可以客製化報告嗎？

A7. 是的，Lucintel 提供 10% 的客製化服務，無需額外費用。

目錄

第1章執行摘要

第2章 全球人工智慧訓練晶片市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球AI訓練晶片市場趨勢（2018-2023）及預測（2024-2030）
  • 按晶片類型分類的全球人工智慧訓練晶片市場
    • GPU
    • CPU
    • ASIC
    • FPGA
    • 其他
  • 全球人工智慧訓練晶片市場按硬體分類
    • 處理器
    • 記憶
    • 通訊網路
    • 其他
  • 全球人工智慧訓練晶片市場按應用
    • 自然語言處理
    • 機器人技術
    • 電腦視覺
    • 網路安全
    • 其他
  • 全球人工智慧訓練晶片市場（按最終用途）
    • BFSI
    • 衛生保健
    • 汽車和交通
    • 資訊科技和電訊
    • 其他

第4章 2018-2030年區域市場趨勢及預測分析

  • 全球AI訓練晶片市場區域分佈
  • 北美AI訓練晶片市場
  • 歐洲AI訓練晶片市場
  • 亞太AI訓練晶片市場
  • 其他地區AI訓練晶片市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球人工智慧訓練晶片市場成長機會（按晶片類型）
    • 全球人工智慧訓練晶片市場成長機會（按硬體）
    • 全球人工智慧訓練晶片市場成長機會（按應用）
    • 全球人工智慧訓練晶片市場成長機會（按最終用途）
    • 全球人工智慧訓練晶片市場成長機會（按地區）
  • 全球AI訓練晶片市場新趨勢
  • 戰略分析
    • 新產品開發
    • 全球AI訓練晶片市場產能擴張
    • 全球AI訓練晶片市場併購及合資情況
    • 認證和許可

第7章主要企業概況

  • Tesla
  • NVIDIA
  • Intel
  • Graphcore
  • Google
  • Qualcomm
  • Shanghai Enflame Technology
簡介目錄

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