AI Computing Chip includes graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and certain types of application-specific integrated circuits (ASICs) specialized for AI calculations.

The global AI Large Computing Chip market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of % from 2024 to 2030.

ReportPrime's newest research report, the “AI Large Computing Chip Industry Forecast” looks at past sales and reviews total world AI Large Computing Chip sales in 2023, providing a comprehensive analysis by region and market sector of projected AI Large Computing Chip sales for 2024 through 2030. With AI Large Computing Chip sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Large Computing Chip industry.

This Insight Report provides a comprehensive analysis of the global AI Large Computing Chip landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity.

This report also analyzes the strategies of leading global companies with a focus on AI Large Computing Chip portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Large Computing Chip market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Large Computing Chip and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity.

United States market for AI Large Computing Chip is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

China market for AI Large Computing Chip is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Europe market for AI Large Computing Chip is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Global key AI Large Computing Chip players cover Nvidia, AMD, Microsoft, Google, Amazon, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Large Computing Chip market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:

• GPU
• TPU
• FPGA
• Others

Segmentation by Application:

• Autonomous Driving
• Smart Phone
• Smart Retail
• Intelligent Robot
• Others

This report also splits the market by region:

• Americas
  • United States
  • Canada
  • Mexico
  • Brazil
• APAC
  • China
  • Japan
  • Korea
  • Southeast Asia
  • India
  • Australia
• Europe
  • Germany
  • France
  • UK
  • Italy
  • Russia
• Middle East & Africa
  • Egypt
  • South Africa
  • Israel
  • Turkey
  • GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.

• Nvidia
• AMD
• Microsoft
• Google
• Amazon
• Intel
• Meta
• Samsung
• Apple
• HUAWEI
• Cambricon Technologies
• Kunlun Core (Beijing) Technology
• Muxi Integrated Circuit
• Shanghai Suiyuan Technology
• Hygon Information Technology
• Changsha Jingjia Microelectronics
• Shanghai Iluvatar CoreX Semiconductor

Key Questions Addressed in this Report

1. What is the 10-year outlook for the global AI Large Computing Chip market?
2. What factors are driving AI Large Computing Chip market growth, globally and by region?
3. Which technologies are poised for the fastest growth by market and region?
4. How do AI Large Computing Chip market opportunities vary by end market size?
5. How does AI Large Computing Chip break out by Type, by Application?