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AIトレーニングチップ市場レポート：2030年までの動向、予測、競合分析

AI Training Chip Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日: | 発行: Lucintel | ページ情報: 英文 150 - page report | 納期: 3営業日

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AIトレーニングチップ市場レポート：2030年までの動向、予測、競合分析
出版日: 2024年01月29日
発行: Lucintel
ページ情報: 英文 150 - page report
納期: 3営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
  • 全表示
  • 概要
  • 目次
概要

AIトレーニングチップの動向と予測

世界のAIトレーニングチップ市場は、2024年から2030年にかけてCAGR 30.1％で成長すると予測されます。この市場の主な促進要因は、ディープラーニングアルゴリズムの採用の増加と、様々な最終用途産業におけるAI搭載アプリケーションの需要の高まりです。世界のAIトレーニングチップ市場の将来は、自然言語処理、ロボット工学、コンピュータビジョン、ネットワークセキュリティの各市場における機会で有望視されています。

AIトレーニングチップ市場の洞察

Lucintelは、CPUは手頃な価格で入手しやすいため、予測期間中も最大セグメントであり続けると予測しています。

この市場の中では、タスクの自動化、顧客サービスの強化、データからの新しい洞察の導出に対する需要の高まりから、自然言語処理が引き続き最大セグメントとなります。

アジア太平洋は、新興企業の増加と政府による継続的な支援により、予測期間中最大の地域であり続けると思われます。

よくある質問

Q1.市場の成長予測は？

A1.世界のAIトレーニングチップ市場は、2024年から2030年にかけてCAGR 30.1%で成長する見込みです。

Q2.市場の成長に影響を与える主な促進要因は？

A2.この市場の主な促進要因は、ディープラーニングアルゴリズムの採用の増加と、様々な最終用途産業におけるAI搭載アプリケーションの需要の高まりです。

Q3.市場の主要セグメントは？

A3.AIトレーニングチップ市場の将来性は、自然言語処理、ロボット工学、コンピュータビジョン、ネットワークセキュリティの各市場における機会によって有望視されています。

Q4.市場の主要企業は？

A4.AIトレーニングチップの主要企業は以下の通り。

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

Q5.今後、最大となる市場セグメントは？

A5.Lucintelは、CPUは手頃な価格で入手しやすいため、予測期間中も最大セグメントであり続けると予測しています。

Q6.市場において、今後5年間に最大になると予想される地域は？

A6.APACは、新興企業の増加と政府による継続的な支援により、予測期間中も最大地域であり続ける。

Q7.レポートのカスタマイズは可能？

A7.はい、Lucintelは追加費用なしで10％のカスタマイズを提供します。

目次

第1章 エグゼクティブサマリー

第2章 世界のAIトレーニングチップ市場：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 世界のAIトレーニングチップ市場動向（2018～2023年）と予測（2024～2030年）
  • チップタイプ別の世界のAIトレーニングチップ市場
    • GPU
    • CPU
    • ASIC
    • FPGA
    • その他
  • ハードウェア別の世界のAIトレーニングチップ市場
    • プロセッサー
    • メモリ
    • 通信網
    • その他
  • アプリケーション別の世界のAIトレーニングチップ市場
    • 自然言語処理
    • ロボット工学
    • コンピュータービジョン
    • ネットワークセキュリティー
    • その他
  • 最終用途別の世界のAIトレーニングチップ市場
    • BFSI
    • ヘルスケア
    • 自動車と輸送
    • ITと電気通信
    • その他

第4章 2018年から2030年までの地域別の市場動向と予測分析

  • 地域別の世界のAIトレーニングチップ市場
  • 北米のAIトレーニングチップ市場
  • 欧州のAIトレーニングチップ市場
  • アジア太平洋のAIトレーニングチップ市場
  • その他地域のAIトレーニングチップ市場

第5章 競合の分析

  • 製品ポートフォリオ分析
  • 運用上の統合
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会の分析
    • チップタイプ別の世界のAIトレーニングチップ市場の成長機会
    • ハードウェア別の世界のAIトレーニングチップ市場の成長機会
    • アプリケーション別の世界のAIトレーニングチップ市場の成長機会
    • 最終用途別の世界のAIトレーニングチップ市場の成長機会
    • 地域別の世界のAIトレーニングチップ市場の成長機会
  • 世界のAIトレーニングチップ市場の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界のAIトレーニングチップ市場の能力拡大
    • 世界のAIトレーニングチップ市場における合併、買収、合弁事業
    • 認証とライセンシング

第7章 有力企業の企業プロファイル

  • Tesla
  • NVIDIA
  • Intel
  • Graphcore
  • Google
  • Qualcomm
  • Shanghai Enflame Technology
目次

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