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Artificial Intelligence Chip Market by Technology (GPU, ASIC, FPGA, and CPU) and Application (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others) - Global Opportunity Analysis and Industry Forecast, 2017-2023

  • ID: SE 174515
  • Nov 2017
  • 130 pages
  • Price: $4296
$2765

Artificial Intelligence Chip Market Overview:

Artificial Intelligence Chip Market is projected to reach at $11,173 million by 2023, growing at a CAGR of 49.5%. Artificial Intelligence Chip Market is one of the most progressive technologies of computer science since its introduction in the 1950s. It is associated to human intelligence with similar characteristics such as language understanding, reasoning, learning, problem solving, and others. Manufacturers in the market have witnessed enormous underlying intellectual challenges in the development and revision of such a technology. AI is positioned at the core of the next-generation software technologies in the market.

Artificial Intelligence Chip Market

Developments in making more human-like robots and increase in rate of deployments in the developing regions have transformed the overall market growth.

The current business scenario has witnessed an increase in the adoption of this technology particularly in the developing regions. The companies are adopting innovative techniques to provide customers with advanced and innovated product offerings.

Among the geographical, North America exhibits the highest adoption of AI. On the other hand, Asia-Pacific is expected to grow at a faster pace, predicting a lucrative market growth.

Key players profiled in the report include AMD (Advanced Micro Devices), Google Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, and Mythic.

These companies have adopted strategies such as collaboration, cooperation, partnership, product launch, R&D, and acquisition to increase their market share and expand their geographical presence.

Segment Overview

The artificial intelligence chip market is segmented based on technology, application, and geography. Graphics processing unit (GPU), application-specific integrated circuit (ASIC), field programmable gate array (FPGA), and central processing unit (CPU) are the technologies included in the report. The applications considered are media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. The regions considered in the study are North America, Europe, Asia-Pacific, and LAMEA.

Artificial Intelligence Chip Market

Top Impacting Factors

Factors that are expected to impact the global artificial intelligence chip market during the forecast period are as follows:

  • Surge in demand for smart homes
  • Development of smart cities
  • Emergence of quantum computing
  • Lack of skilled workforce
  • Increase in investments in AI startups

Artificial Intelligence Chip Market

Increasing Investments in AI Startups

Many countries, especially the U.S., have witnessed significant growth in tech start-ups every year, backed by various venture capitalists and venture capitals, thus increasing the market scope. Further, the trend to integrate video surveillance and AI, paired with the rise in government spending for cyber security solutions that are integrated with real-time analytics and AI, is anticipated to boost the market.

Artificial Intelligence Chip Market

Lack of Skilled Workforce

AI consists of complex algorithms for its development. Further, management of AI and automated systems is difficult at times. This requires exceptional software engineering skills and a notable experience in dealing with distributed and concurrent programming or debugging with communication protocols. However, many regions, particularly the emerging economies, lack people with such skills. Hence, lack of skilled workforce is a prominent restraining force for the market.

Increased Adoption in Developing Regions

Recent developments in the emerging economies, such as China and India, in various industry verticals such as media & advertising, finance, retail, healthcare, automotive & transportation, and others have created a major growth potential for AI in such regions. The long-term time & cost benefits provided by AI are the major growth factors that lead to increased adoption of this technology in the developing regions.

Key Benefits

  • This study comprises analytical depiction of the global artificial intelligence chip market with current trends and future estimations to depict the imminent investment pockets.
  • The overall market potential is determined to understand the profitable trends to gain a stronger foothold.
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current market is quantitatively analyzed from 2017 to 2023 to highlight the financial competency of the market.
  • Porters Five Forces analysis illustrates the potency of the buyers and suppliers in the industry.

Artificial Intelligence Chip Market Key Segments:

By Technology

  • GPU
  • ASIC
  • FPGA
  • CPU

By Application

  • Media & Advertising
  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Automotive & Transportation
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players Profiled

  • AMD (Advanced Micro Devices)
  • Google
  • Intel Corporation
  • NVIDIA
  • Baidu
  • Graphcore
  • Qualcomm
  • Adapteva
  • UC-Davis
  • Mythic
 

Chapter: 1 INTRODUCTION

1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. RESEARCH METHODOLOGY

1.3.1. Primary research
1.3.2. Secondary research
1.3.3. Analyst tools and models

Chapter: 2 EXECUTIVE SUMMARY

2.1. CXO PERSPECTIVE

Chapter: 3 MARKET OVERVIEW

3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS

3.2.1. Top winning strategies
3.2.2. Top investment pockets
3.2.3. Top impacting factors

3.3. PORTER’S FIVE FORCES

3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Competitive rivalry

3.4. MARKET SHARE ANALYSIS, 2016
3.5. MARKET DYNAMICS

3.5.1. Drivers

3.5.1.1. Increasing demand for smart homes & smart cities
3.5.1.2. Increasing investments in AI startups
3.5.1.3. Emergence of quantum computing

3.5.2. Restraints

3.5.2.1. Lack of skilled workforce

3.5.3. Opportunity

3.5.3.1. Increased adoption in developing regions
3.5.3.2. Developing smarter robots

Chapter: 4 ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY

4.1. OVERVIEW
4.2. GPU

4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast

4.3. ASIC

4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast

4.4. FPGA

4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast

4.5. CPU

4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast

Chapter: 5 ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION

5.1. OVERVIEW
5.2. MEDIA & ADVERTISING

5.2.1. Key market trends, key growth factors, and opportunities
5.2.2. Market size and forecast

5.3. BFSI

5.3.1. Key market trends, key growth factors, and opportunities
5.3.2. Market size and forecast

5.4. IT & TELECOM

5.4.1. Key market trends, key growth factors, and opportunities
5.4.2. Market size and forecast

5.5. RETAIL

5.5.1. Key market trends, key growth factors, and opportunities
5.5.2. Market size and forecast

5.6. HEALTHCARE

5.6.1. Key market trends, key growth factors, and opportunities
5.6.2. Market size and forecast

5.7. AUTOMOTIVE & TRANSPORTATION

5.7.1. Key market trends, key growth factors, and opportunities
5.7.2. Market size and forecast

5.8. OTHERS

5.8.1. Key market trends, key growth factors, and opportunities
5.8.2. Market size and forecast

Chapter: 6 ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY

6.1. OVERVIEW
6.2. NORTH AMERICA

6.2.1. Key market trends, key growth factors, and opportunities
6.2.2. Market size and forecast, by technology
6.2.3. Market size and forecast, by application
6.2.4. Market size and forecast, by country
6.2.5. U.S.

6.2.5.1. Market size and forecast

6.2.6. Canada

6.2.6.1. Market size and forecast

6.2.7. Mexico

6.2.7.1. Market size and forecast

6.3. EUROPE

6.3.1. Key market trends, key growth factors, and opportunities
6.3.2. Market size and forecast, by technology
6.3.3. Market size and forecast, by application
6.3.4. Market size and forecast, by country
6.3.5. UK
6.3.6. Market size and forecast
6.3.7. Germany
6.3.8. Market size and forecast
6.3.9. France
6.3.10. Market size and forecast
6.3.11. Russia
6.3.12. Market size and forecast
6.3.13. Rest of Europe
6.3.14. Market size and forecast

6.4. ASIA-PACIFIC

6.4.1. Key market trends, key growth factors, and opportunities
6.4.2. Market size and forecast, by technology
6.4.3. Market size and forecast, by application
6.4.4. Market size and forecast, by country
6.4.5. China

6.4.5.1. Market size and forecast

6.4.6. Japan

6.4.6.1. Market size and forecast

6.4.7. India

6.4.7.1. Market size and forecast

6.4.8. Australia

6.4.8.1. Market size and forecast

6.4.9. Rest of Asia-Pacific

6.4.9.1. Market size and forecast

6.5. LAMEA

6.5.1. Key market trends, key growth factors, and opportunities
6.5.2. Market size and forecast, by technology
6.5.3. Market size and forecast, by application
6.5.4. Market size and forecast, by region
6.5.5. Latin America

6.5.5.1. Market size and forecast

6.5.6. Middle East

6.5.6.1. Market size and forecast

6.5.7. Africa

6.5.7.1. Market size and forecast

Chapter: 7 COMPANY PROFILES

7.1. ADVANCED MICRO DEVICES, INC.

7.1.1. Company overview
7.1.2. Company snapshot
7.1.3. Operating business segments
7.1.4. Product portfolio
7.1.5. Business performance
7.1.6. Key strategic moves and developments

7.2. ALPHABET INC. (GOOGLE INC.)

7.2.1. Company overview
7.2.2. Company snapshot
7.2.3. Operating business segments
7.2.4. Product portfolio
7.2.5. Business performance
7.2.6. Key strategic moves and developments

7.3. INTEL CORPORATION

7.3.1. Company overview
7.3.2. Company snapshot
7.3.3. Operating business segments
7.3.4. Product portfolio
7.3.5. Business performance
7.3.6. Key strategic moves and developments

7.4. NVIDIA CORPORATION

7.4.1. Company overview
7.4.2. Company snapshot
7.4.3. Operating business segments
7.4.4. Product portfolio
7.4.5. Business performance
7.4.6. Key strategic moves and developments

7.5. BAIDU, INC.

7.5.1. Company overview
7.5.2. Company snapshot
7.5.3. Operating business segments
7.5.4. Product portfolio
7.5.5. Business performance
7.5.6. Key strategic moves and developments

7.6. GRAPHCORE LTD.

7.6.1. Company overview
7.6.2. Company snapshot
7.6.3. Operating business segments
7.6.4. Product portfolio
7.6.5. Key strategic moves and developments

7.7. QUALCOMM INCORPORATED

7.7.1. Company overview
7.7.2. Company snapshot
7.7.3. Operating business segments
7.7.4. Product portfolio
7.7.5. Business performance
7.7.6. Key strategic moves and developments

7.8. ADAPTEVA, INC.

7.8.1. Company overview
7.8.2. Company snapshot
7.8.3. Product portfolio
7.8.4. Key strategic moves and developments

7.9. UNIVERSITY OF CALIFORNIA SYSTEM (UNIVERSITY OF CALIFORNIA, DAVIS)

7.9.1. Company overview
7.9.2. Company snapshot
7.9.3. Operating business segments
7.9.4. Product portfolio
7.9.5. Business performance

7.10. MYTHIC, INC.

7.10.1. Company overview
7.10.2. Company snapshot
7.10.3. Product portfolio
7.10.4. Key strategic moves and developments

LIST OF TABLES

TABLE 1. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 2. GPU TECHNOLOGY MARKET, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 3. ASIC TECHNOLOGY MARKET, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 4. FPGA TECHNOLOGY MARKET, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 5. CPU TECHNOLOGY MARKET, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 7. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR MEDIA & ADVERTISING, BY GEOGRAPHY, 2016-2023 ($MILLION)
TABLE 8. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR BFSI, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 9. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR IT & TELECOM, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 10. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR RETAIL, BY GEOGRAPHY, 2016-2023 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR HEALTHCARE, BY GEOGRAPHY, 2016-2023 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR AUTOMOTIVE & TRANSPORTATION, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 13. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR OTHER APPLICATIONS, BY GEOGRAPHY, 2014-2023 ($MILLION)
TABLE 14. ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY, 2016-2023 ($MILLION)
TABLE 15. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2010-2023 ($MILLION)
TABLE 16. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 17. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 18. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2014-2023 ($MILLION)
TABLE 19. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2014-2023 ($MILLION)
TABLE 20. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 21. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 24. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2014-2023 ($MILLION)
TABLE 25. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2014-2023 ($MILLION)
TABLE 26. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 27. AMD: COMPANY SNAPSHOT
TABLE 28. AMD: OPERATING SEGMENTS
TABLE 29. AMD: PRODUCT PORTFOLIO
TABLE 30. ALPHABET: COMPANY SNAPSHOT
TABLE 31. ALPHABET: OPERATING SEGMENTS
TABLE 32. ALPHABET: PRODUCT PORTFOLIO
TABLE 33. INTEL: COMPANY SNAPSHOT
TABLE 34. INTEL: OPERATING SEGMENTS
TABLE 35. INTEL: PRODUCT PORTFOLIO
TABLE 36. NVIDIA CORPORATION: COMPANY SNAPSHOT
TABLE 37. NVIDIA CORPORATION: OPERATING SEGMENTS
TABLE 1.1. NVIDIA CORPORATION: PRODUCT PORTFOLIO
TABLE 38. BAIDU: COMPANY SNAPSHOT
TABLE 39. BAIDU: OPERATING SEGMENTS
TABLE 40. BAIDU: PRODUCT PORTFOLIO
TABLE 41. GRAPHCORE: COMPANY SNAPSHOT
TABLE 42. GRAPHCORE: OPERATING SEGMENTS
TABLE 43. GRAPHCORE: PRODUCT PORTFOLIO
TABLE 44. QUALCOMM: COMPANY SNAPSHOT
TABLE 45. QUALCOMM: OPERATING SEGMENTS
TABLE 46. QUALCOMM: PRODUCT PORTFOLIO
TABLE 47. ADAPTEVA: COMPANY SNAPSHOT
TABLE 48. ADAPTEVA: PRODUCT PORTFOLIO
TABLE 49. UC: COMPANY SNAPSHOT
TABLE 50. MSCC: OPERATING SEGMENTS
TABLE 51. UC: PRODUCT PORTFOLIO
TABLE 52. MYTHIC: COMPANY SNAPSHOT
TABLE 53. MYTHIC: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 1. ARTIFICIAL INTELLIGENCE CHIP MARKET SNAPSHOT
FIGURE 2. TOP WINNING STRATEGIES, 2015-2017 (%)
FIGURE 3. STRATEGIC RANKING OF ARTIFICIAL INTELLIGENCE CHIP COMPANIES, 2015-2017
FIGURE 4. TOP INVESTMENT POCKETS
FIGURE 5. TOP IMPACTING FACTORS (2016 - 2023)
FIGURE 6. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 7. HIGH BARGAINING POWER OF BUYERS
FIGURE 8. LOW THREAT OF SUBSTITUTES
FIGURE 9. LOW THREAT OF NEW ENTRANTS
FIGURE 10. HIGH COMPETITIVE RIVALRY
FIGURE 11. MARKET SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE CHIP COMPANIES,    2016 (%)
FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2015-2023 (%)
FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE CHIP GPU TECHNOLOGY MARKET, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE CHIP ASIC TECHNOLOGY MARKET, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE CHIP FPGA TECHNOLOGY MARKET, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE CHIP CPU TECHNOLOGY MARKET, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 17. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR MEDIA & ADVERITISING, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 18. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR BFSI, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 19. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR IT & TELECOM, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 20. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR RETAIL, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 21. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR HEALTHCARE, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 22. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR AUTOMOTIVE & TRANSPORTATION, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 23. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR OTHER APPLICATIONS, BY GEOGRAPHY, 2015-2023 (%)
FIGURE 24. ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY 2015-2023, (%)
FIGURE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY 2015-2023 (%)
FIGURE 26. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY COMPONENT 2015-2023 (%)
FIGURE 27. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY 2015-2023 (%)
FIGURE 28. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY 2015-2023 (%)
FIGURE 29. AMD: NET SALES, 2014-2016 ($MILLION)
FIGURE 30. AMD: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 31. AMD: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 32. ALPHABET: NET SALES, 2014-2016 ($MILLION)
FIGURE 33. ALPHABET: REVENUE BY PRODUCT, 2016 (%)
FIGURE 34. ALPHABET: REVENUE BY GEOGRAPHY, 2016 (%)
FIGURE 35. INTEL: NET SALES, 2014-2016 ($MILLION)
FIGURE 36. INTEL: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 37. INTEL: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 38. NVIDIA: NET SALES, 2015-2017 ($MILLION)
FIGURE 39. NVIDIA: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 40. NVIDIA: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 41. BAIDU: NET SALES, 2014-2016 ($MILLION)
FIGURE 42. BAIDU: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 43. QUALCOMM: NET SALES, 2015-2017 ($MILLION)
FIGURE 44. QUALCOMM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 45. UC: NET SALES, 2015-2017 ($MILLION)
FIGURE 46. UC: REVENUE SHARE BY SEGMENT, 2017 (%)

 

Many players are building better robot brains, which would enable machines to operate autonomously. For instance, Rethink Robotics’ Baxter is a research robot that can be trained accordingly. Similarly, human-like robots are invented by Hanson Robotics that can carry a peculiar conversation and recall personal history. Furthermore, development of smarter virtual assistants is also opportunistic for the overall market. A notable illustration is Jarvis Corp that is a start-up in the conceptual phases to build a virtual assistant that can answer questions by accessing the internet and act as an internet server and as a control for connected devices.

In the IT & telecom industry, AI chips are deployed for the purpose of network management, customer & market management, services & products management, and workforce management. Thus, growth of IoT and big data has largely driven the market.

In the healthcare sector, AI is implemented for disease management, diagnosis & treatment, clinical trials, and reimbursement processes. Deploying AI on the cloud is a major opportunity for the market.
In the retail industry, AI is used for promotions, personalized customer experience, and decision-making. Predicting customer needs has revolutionized this sector to a larger extent.

AMD (Advanced Micro Devices), Google Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, and Mythic are key players that occupy a significant revenue share in the artificial intelligence chip market.

 

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