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市場調查報告書

人工智能晶片組的全球市場預測 ∼2025年:機器學習,自然語言處理,情境認知計算,電腦視覺

Artificial Intelligence Chipsets Market by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Geography - Global Forecast to 2025

出版商 MarketsandMarkets 商品編碼 351619
出版日期 內容資訊 英文 189 Pages
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人工智能晶片組的全球市場預測 ∼2025年:機器學習,自然語言處理,情境認知計算,電腦視覺 Artificial Intelligence Chipsets Market by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Geography - Global Forecast to 2025
出版日期: 2018年02月13日 內容資訊: 英文 189 Pages
簡介

全球人工智能 (晶片組) 市場,預計從2018年到2025年以35.5%的年複合成長率發展,2018年成長達70億6,000萬美元,2025年達592億6,000萬美元。由於為提升客戶服務及降低硬體設備成本的AI引進,及巨大複雜的資料集的AI需求擴大,AI應用的增加等成為這個市場主要的促進成長因素。

本報告提供全球人工智能 (晶片組) 市場相關調查,市場概要,各技術、硬體設備、終端用戶產業、地區的市場趨勢,市場規模的變化與預測,市場促進、阻礙因素以及市場機會、課題分析,市場佔有率,競爭情形,主要企業的簡介等,全面性資訊。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

  • 人工智能市場的富有魅力的市場機會
  • 人工智能 (晶片組) 市場:各硬體設備
  • 機器學習AI (晶片組) 市場:各2次類型
  • 亞太地區的AI (晶片組) 市場:各終端用戶產業、各國
  • AI (晶片組) 市場:各國

第5章 人工智能 (AI)的全球市場:概要

  • 簡介
  • 市場動態
    • 促進因素
      • 巨大複雜的資料集燥成的AI需求擴大
      • 為改善顧客服務及運用降低成本的AI引進
      • AI應用的增加
      • 運算能力的改善和硬體設備成本的減少
    • 阻礙因素
      • 具有了專門知識的技術人員不足
      • 缺乏規格及通訊協定
    • 市場機會
      • 對認識人類的人工智能系統的關注
      • 在邊緣服務的應用
    • 課題
      • 盈利低的投資
      • 機制和模式的創造
      • 結構化資料的限制

第6章 人工智能 (晶片組) 市場:各技術

  • 簡介
  • 機器學習
  • 自然語言處理
  • 情境認知計算
  • 電腦視覺

第7章 人工智能 (晶片組) 市場:各硬體設備

  • 簡介
  • 處理器
  • 記憶體
  • 網路

第8章 人工智能 (晶片組)的全球市場:各終端用戶產業

  • 簡介
  • 醫療
  • 製造
  • 汽車
  • 農業
  • 零售
  • 安全
  • HR
  • 行銷
  • 法務
  • 金融科技

第9章 人工智能 (晶片組)的全球市場:各地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 韓國
    • 其他
  • 其他地區
    • 中東、非洲
    • 南美

第10章 競爭情形

  • 概要
  • 企業排行榜
  • 競爭模式
    • 新產品的開發、上市
    • 合作、夥伴關係
    • 合併

第11章 企業簡介

  • 主要企業
    • NVIDIA
    • INTEL
    • XILINX
    • SAMSUNG ELECTRONICS
    • MICRON TECHNOLOGY
    • QUALCOMM TECHNOLOGIES
    • IBM
    • GOOGLE
    • MICROSOFT
    • AMAZON WEB SERVICES (AWS)
  • 其他的企業
    • AMD
    • GENERAL VISION
    • GRAPHCORE
    • MELLANOX TECHNOLOGIES
    • HUAWEI TECHNOLOGIES
    • 富士通
    • WAVE COMPUTING
    • MYTHIC
    • ADAPTEVA
    • KONIKU
    • TENSTORRENT

第12章 附錄

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目錄
Product Code: SE 5997

"AI (chipsets) market projected to grow at a CAGR of 35.5%"

According to the new market research report on AI (chipsets), this market is expected to be worth USD 7.06 billion in 2018 and is likely to reach USD 59.26 billion by 2025, at a CAGR of 35.5% from 2018 to 2025. The growth of the AI (chipsets) market can be attributed to the adoption of AI for improving consumer services and reducing hardware cost. However, the lack of skilled workforce is waning the growth of the AI (chipsets) market.

"Market for computer vision to grow at highest CAGR from 2018 to 2025"

The market for computer vision is expected to grow at the highest CAGR from 2018 to 2025. Computer vision is being widely adopted in manufacturing industries, especially for robotic application, and in the automotive sector. In the automotive sector, this technology plays a significant role in semiautonomous and autonomous cars as these cars cannot understand human hand signal or any other gestures without computer vision.

"Processor held largest market size in 2017"

Processor held the largest size of the AI (chipsets) market in 2017. This is attributed to the increase in demand for high-computing processors to run AI algorithms in servers as well as developing edge devices. CPU and GPU were the key determinants of the growth of the processor segment.

"AI (chipsets) market for manufacturing industry to witness highest growth between 2018 and 2025"

The market for the manufacturing industry is expected to witness the highest growth during the forecast period. Rising labor cost for manufacturing goods is one of the major drivers for the growth of AI-enabled robots in the manufacturing sector. In addition, trends such as Industry 4.0 are complementing the growth of the market in the manufacturing sector.

"AI (chipsets) market in APAC expected to grow at highest CAGR"

This report covers the AI (chipsets) market in North America, Europe, APAC, and RoW. The increasing adoption of deep learning and NLP technologies in finance, agriculture, marketing, and law applications is driving the market in APAC. Concurrently, growing e-commerce, online streaming, and increasing internet penetration have resulted in the growth of AI technology in marketing industries in the region.

Breakdown of the profiles of primary participants:

  • By Company Type: Tier 1 = 45%, Tier 2 = 30%, and Tier 3 = 25%
  • By Designation: C-Level Executives = 55%, Managers = 30%, and Others = 15%
  • By Region: North America = 45%, Europe = 25%, APAC = 20%, and RoW = 10%

Companies that are profiled in this report are: NVIDIA (US), Intel (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), Qualcomm Technologies (US), IBM (US), Google (US), Microsoft (US), and AWS (US). Some of the key start-ups included in this report are Graphcore (UK), Wave Computing (US), Mythic (US), Adapteva (US), and Koniku (US).

Research Coverage:

The report describes various hardware components associated with AI and related developments across industry verticals and regions. It aims at estimating the size and growth potential of this market across segments such as technology, hardware, end-user industry, and geography. Furthermore, the report includes an in-depth competitive analysis of the key players in the market, along with their company profiles, recent developments, and key market strategies.

Reasons to Buy the Report:

  • The report includes the market statistics pertaining to various segments, along with their respective revenue.
  • The report details the major drivers, restraints, challenges, and opportunities for the AI (chipsets) market.
  • The report provides illustrative segmentation, analysis, and forecast for the AI (chipsets) market based on technology, hardware, end-user industry, and geography to give an overall view of the AI (chipsets) market.
  • The report provides a detailed competitive landscape including key players and their ranking.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKET COVERED
    • 1.3.2 YEARS CONSIDERED FOR STUDY
  • 1.4 CURRENCY
  • 1.5 PACKAGE SIZE
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primary interviews with experts
      • 2.1.2.2 Primary sources
      • 2.1.2.3 Breakdown of primaries
      • 2.1.2.4 Key industry insights
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4 ASSUMPTIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN AI (CHIPSETS) MARKET
  • 4.2 AI (CHIPSETS) MARKET, BY HARDWARE
  • 4.3 MACHINE LEARNING AI (CHIPSETS) MARKET, BY SUBTYPE
  • 4.4 ASIA PACIFIC: AI (CHIPSETS) MARKET, BY END-USER INDUSTRY AND COUNTRY
  • 4.5 AI (CHIPSETS) MARKET, BY COUNTRY

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasingly large and complex dataset driving the need for AI
      • 5.2.1.2 Adoption of AI for improving consumer services and reducing operational costs
      • 5.2.1.3 Growing number of AI applications
      • 5.2.1.4 Improving computing power and declining hardware cost
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of skilled workforce and absence of standards and protocols
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Increasing focus on developing human-aware AI systems
      • 5.2.3.2 Bringing AI to edge devices
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Low return on investment
      • 5.2.4.2 Creating models and mechanisms for AI
      • 5.2.4.3 Limited structured training data

6 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY TECHNOLOGY

  • 6.1 INTRODUCTION
  • 6.2 MACHINE LEARNING
    • 6.2.1 DEEP LEARNING
    • 6.2.2 SUPERVISED LEARNING
    • 6.2.3 UNSUPERVISED LEARNING
    • 6.2.4 REINFORCEMENT LEARNING
    • 6.2.5 OTHERS
  • 6.3 NATURAL LANGUAGE PROCESSING
  • 6.4 CONTEXT-AWARE COMPUTING
  • 6.5 COMPUTER VISION

7 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY HARDWARE

  • 7.1 INTRODUCTION
  • 7.2 PROCESSOR
  • 7.3 MEMORY
  • 7.4 NETWORK

8 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY END-USER INDUSTRY

  • 8.1 INTRODUCTION
  • 8.2 HEALTHCARE
    • 8.2.1 PATIENT DATA & RISK ANALYSIS
    • 8.2.2 LIFESTYLE MANAGEMENT & MONITORING
    • 8.2.3 PRECISION MEDICINE
    • 8.2.4 INPATIENT CARE & HOSPITAL MANAGEMENT
    • 8.2.5 MEDICAL IMAGING & DIAGNOSTICS
    • 8.2.6 DRUG DISCOVERY
    • 8.2.7 VIRTUAL ASSISTANT
    • 8.2.8 WEARABLES
    • 8.2.9 RESEARCH
  • 8.3 MANUFACTURING
    • 8.3.1 MATERIAL MOVEMENT
    • 8.3.2 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
    • 8.3.3 PRODUCTION PLANNING
    • 8.3.4 FIELD SERVICES
    • 8.3.5 RECLAMATION
    • 8.3.6 QUALITY CONTROL
  • 8.4 AUTOMOTIVE
    • 8.4.1 AUTONOMOUS DRIVING
    • 8.4.2 HUMAN-MACHINE INTERFACE
    • 8.4.3 SEMIAUTONOMOUS DRIVING
  • 8.5 AGRICULTURE
    • 8.5.1 PRECISION FARMING
    • 8.5.2 LIVESTOCK MONITORING
    • 8.5.3 DRONE ANALYTICS
    • 8.5.4 AGRICULTURAL ROBOTS
    • 8.5.5 OTHERS
  • 8.6 RETAIL
    • 8.6.1 PRODUCT RECOMMENDATION AND PLANNING
    • 8.6.2 CUSTOMER RELATIONSHIP MANAGEMENT
    • 8.6.3 VISUAL SEARCH
    • 8.6.4 VIRTUAL ASSISTANT
    • 8.6.5 PRICE OPTIMIZATION
    • 8.6.6 PAYMENT SERVICES MANAGEMENT
    • 8.6.7 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING
    • 8.6.8 OTHERS
  • 8.7 SECURITY
    • 8.7.1 IDENTITY AND ACCESS MANAGEMENT (IAM)
    • 8.7.2 RISK AND COMPLIANCE MANAGEMENT
    • 8.7.3 ENCRYPTION
    • 8.7.4 DATA LOSS PREVENTION
    • 8.7.5 UNIFIED THREAT MANAGEMENT
    • 8.7.6 ANTIVIRUS/ANTIMALWARE
    • 8.7.7 INTRUSION DETECTION/PREVENTION SYSTEMS
    • 8.7.8 OTHERS
  • 8.8 HUMAN RESOURCES
    • 8.8.1 VIRTUAL ASSISTANT
    • 8.8.2 SENTIMENT ANALYSIS
    • 8.8.3 SCHEDULING GROUP MEETINGS AND INTERVIEWS
    • 8.8.4 PERSONALIZED LEARNING AND DEVELOPMENT
    • 8.8.5 APPLICANT TRACKING & ASSESSMENT
    • 8.8.6 EMPLOYEE ENGAGEMENT
    • 8.8.7 RESUME ANALYSIS
  • 8.9 MARKETING
    • 8.9.1 SOCIAL MEDIA ADVERTISING
    • 8.9.2 SEARCH ADVERTISING
    • 8.9.3 DYNAMIC PRICING
    • 8.9.4 VIRTUAL ASSISTANT
    • 8.9.5 CONTENT CURATION
    • 8.9.6 SALES & MARKETING AUTOMATION
    • 8.9.7 ANALYTICS PLATFORM
    • 8.9.8 OTHERS
  • 8.10 LAW
    • 8.10.1 EDISCOVERY
    • 8.10.2 LEGAL RESEARCH
    • 8.10.3 CONTRACT ANALYSIS
    • 8.10.4 CASE PREDICTION
    • 8.10.5 COMPLIANCE
    • 8.10.6 OTHERS
  • 8.11 FINTECH
    • 8.11.1 VIRTUAL ASSISTANT
    • 8.11.2 BUSINESS ANALYTICS AND REPORTING
    • 8.11.3 CUSTOMER BEHAVIOR ANALYTICS
    • 8.11.4 OTHERS

9 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY REGION

  • 9.1 INTRODUCTION
  • 9.2 NORTH AMERICA
    • 9.2.1 US
    • 9.2.2 CANADA
    • 9.2.3 MEXICO
  • 9.3 EUROPE
    • 9.3.1 UK
    • 9.3.2 GERMANY
    • 9.3.3 FRANCE
    • 9.3.4 ITALY
    • 9.3.5 SPAIN
    • 9.3.6 REST OF EUROPE
  • 9.4 APAC
    • 9.4.1 CHINA
    • 9.4.2 JAPAN
    • 9.4.3 SOUTH KOREA
    • 9.4.4 INDIA
    • 9.4.5 REST OF APAC
  • 9.5 REST OF THE WORLD
    • 9.5.1 MIDDLE EAST AND AFRICA
    • 9.5.2 SOUTH AMERICA

10 COMPETITIVE LANDSCAPE

  • 10.1 OVERVIEW
  • 10.2 RANKING OF PLAYERS, 2017
  • 10.3 COMPETITIVE SCENARIO
    • 10.3.1 NEW PRODUCT DEVELOPMENTS AND LAUNCHES
    • 10.3.2 COLLABORATIONS AND PARTNERSHIPS
    • 10.3.3 ACQUISITIONS

11 COMPANY PROFILES

(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*

  • 11.1 KEY PLAYERS
    • 11.1.1 NVIDIA
    • 11.1.2 INTEL
    • 11.1.3 XILINX
    • 11.1.4 SAMSUNG ELECTRONICS
    • 11.1.5 MICRON TECHNOLOGY
    • 11.1.6 QUALCOMM TECHNOLOGIES
    • 11.1.7 IBM
    • 11.1.8 GOOGLE
    • 11.1.9 MICROSOFT
    • 11.1.10 AMAZON WEB SERVICES (AWS)
  • 11.2 OTHER COMPANIES
    • 11.2.1 AMD
    • 11.2.2 GENERAL VISION
    • 11.2.3 GRAPHCORE
    • 11.2.4 MELLANOX TECHNOLOGIES
    • 11.2.5 HUAWEI TECHNOLOGIES
    • 11.2.6 FUJITSU
    • 11.2.7 WAVE COMPUTING
    • 11.2.8 MYTHIC
    • 11.2.9 ADAPTEVA
    • 11.2.10 KONIKU
    • 11.2.11 TENSTORRENT

Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

12 APPENDIX

  • 12.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 12.2 DISCUSSION GUIDE
  • 12.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 12.5 AVAILABLE CUSTOMIZATIONS
  • 12.6 RELATED REPORTS
  • 12.7 AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: MAJOR SECONDARY SOURCES
  • TABLE 2: AVERAGE NUMBER OF CONNECTED DEVICES PER CAPITA
  • TABLE 3: PRICE COMPARISON: AI CHIPSETS (LEADING COMPANIES)
  • TABLE 4: SOME PROMINENT INVESTMENTS IN AI MARKET IN PAST 3 YEARS
  • TABLE 5: AI (CHIPSETS) MARKET, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • TABLE 6: AI (CHIPSETS) MARKET FOR MACHINE LEARNING, BY TYPE, 2015-2025 (USD MILLION)
  • TABLE 7: AI (CHIPSETS) MARKET, BY HARDWARE, 2015-2025 (USD BILLION)
  • TABLE 8: AI (CHIPSETS) MARKET, BY PROCESSOR, 2015-2025 (USD MILLION)
  • TABLE 9: AI (CHIPSETS) MARKET, BY PROCESSOR, 2015-2025 (THOUSAND UNITS)
  • TABLE 10: AI (CHIPSETS) MARKET, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 11: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 12: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 13: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 14: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 15: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 16: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 17: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 18: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 19: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 20: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 21: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 22: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 23: AI (CHIPSETS) MARKET FOR RETAIL, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 24: AI (CHIPSETS) MARKET FOR RETAIL, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 25: AI (CHIPSETS) MARKET FOR RETAIL, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 26: AI (CHIPSETS) MARKET FOR SECURITY, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 27: AI (CHIPSETS) MARKET FOR SECURITY, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 28: AI (CHIPSETS) MARKET FOR SECURITY, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 29: AI (CHIPSETS) MARKET FOR HR, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 30: AI (CHIPSETS) MARKET FOR HR, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 31: AI (CHIPSETS) MARKET FOR HR, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 32: AI (CHIPSETS) MARKET FOR MARKETING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 33: AI (CHIPSETS) MARKET FOR MARKETING, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 34: AI (CHIPSETS) MARKET FOR MARKETING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 35: AI (CHIPSETS) MARKET FOR LAW, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 36: AI (CHIPSETS) MARKET FOR LAW, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 37: AI (CHIPSETS) MARKET FOR LAW, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 38: AI (CHIPSETS) MARKET FOR FINTECH, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 39: AI (CHIPSETS) MARKET FOR FINTECH, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 40: AI (CHIPSETS) MARKET FOR FINTECH, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 41: AI (CHIPSETS) MARKET, BY REGION, 2015-2025 (USD BILLION)
  • TABLE 42: AI (CHIPSETS) MARKET IN NORTH AMERICA, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 43: AI (CHIPSETS) MARKET IN NORTH AMERICA, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 44: AI (CHIPSETS) MARKET IN US, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 45: AI (CHIPSETS) MARKET IN CANADA, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 46: AI (CHIPSETS) MARKET IN MEXICO, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 47: AI (CHIPSETS) MARKET IN EUROPE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 48: AI (CHIPSETS) MARKET IN EUROPE, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 49: AI (CHIPSETS) MARKET IN UK, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 50: AI (CHIPSETS) MARKET IN GERMANY, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 51: AI (CHIPSETS) MARKET IN FRANCE, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 52: AI (CHIPSETS) MARKET IN ITALY, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 53: AI (CHIPSETS) MARKET IN SPAIN, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 54: AI (CHIPSETS) MARKET IN REST OF EUROPE, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 55: AI (CHIPSETS) MARKET IN APAC, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 56: AI (CHIPSETS) MARKET IN APAC, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 57: AI (CHIPSETS) MARKET IN CHINA, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 58: AI (CHIPSETS) MARKET IN JAPAN, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 59: AI (CHIPSETS) MARKET IN SOUTH KOREA, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 60: AI (CHIPSETS) MARKET IN INDIA, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 61: AI (CHIPSETS) MARKET IN REST OF APAC, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 62: AI (CHIPSETS) MARKET IN ROW, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 63: AI (CHIPSETS) MARKET IN ROW, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 64: AI (CHIPSETS) MARKET IN MIDDLE EAST AND AFRICA, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 65: AI (CHIPSETS) MARKET IN SOUTH AMERICA, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 66: RANKING OF KEY COMPANIES IN AI CHIPSETS MARKET (2017)

LIST OF FIGURES

  • FIGURE 1: RESEARCH DESIGN
  • FIGURE 2: BOTTOM-UP APPROACH
  • FIGURE 3: TOP-DOWN APPROACH
  • FIGURE 4: DATA TRIANGULATION
  • FIGURE 5: AI (CHIPSETS) MARKET, BY HARDWARE, 2018 VS. 2025 (USD BILLION)
  • FIGURE 6: AI (CHIPSETS) MARKET, BY PROCESSOR, 2018 VS. 2025 (USD BILLION)
  • FIGURE 7: AI (CHIPSETS) MARKET, BY TECHNOLOGY, 2015-2025 (USD BILLION)
  • FIGURE 8: AI (CHIPSETS) MARKET, BY END-USER INDUSTRY, 2018 VS. 2025 (%)
  • FIGURE 9: AI (CHIPSETS) MARKET, BY GEOGRAPHY, 2018
  • FIGURE 10: IMPROVING COMPUTING EFFICIENCY OF THE AI CHIPSETS IS EXPECTED TO DRIVE THE MARKET BETWEEN 2018 AND 2025
  • FIGURE 11: PROCESSOR TO HOLD THE LARGEST SHARE OF AI (CHIPSETS) MARKET DURING THE FORECAST PERIOD
  • FIGURE 12: AI (CHIPSETS) MARKET FOR SUPERVISED LEARNING TO HOLD LARGEST SIZE BETWEEN 2018 AND 2025
  • FIGURE 13: CHINA EXPECTED TO HOLD LARGEST SHARE OF APAC AI (CHIPSETS) MARKET IN 2018
  • FIGURE 14: US TO HOLD LARGEST SHARE OF AI (CHIPSETS) MARKET IN 2018
  • FIGURE 15: GROWING NUMBER OF APPLICATIONS OF AI TECHNOLOGIES IN VARIOUS INDUSTRY VERTICALS DRIVING MARKET GROWTH
  • FIGURE 16: IP TRAFFIC GROWTH PROJECTIONS TILL 2021
  • FIGURE 17: SUPERVISED LEARNING TO HOLD LARGEST SIZE OF AI (CHIPSETS) MARKET FOR MACHINE LEARNING THROUGHOUT FORECAST PERIOD
  • FIGURE 18: AI (CHIPSETS) PROCESSOR MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 19: AI (CHIPSETS) MARKET FOR MANUFACTURING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 20: PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION TO HOLD LARGEST SHARE OF AI (CHIPSETS) MARKET FOR MANUFACTURING DURING FORECAST PERIOD
  • FIGURE 21: NORTH AMERICA TO HOLD LARGEST SHARE OF AI (CHIPSETS) MARKET FOR AUTOMOTIVE DURING FORECAST PERIOD
  • FIGURE 22: MACHINE LEARNING TECHNOLOGY TO DOMINATE AI (CHIPSETS) MARKET FOR AGRICULTURE THROUGHOUT FORECAST PERIOD
  • FIGURE 23: RETAIL AI (CHIPSETS) MARKET FOR VISUAL SEARCH TO GROW AT HIGHEST CAGR FROM 2018 TO 2025
  • FIGURE 24: ANTIVIRUS/ANTIMALWARE TO HOLD LARGEST SIZE OF AI (CHIPSETS) MARKET FOR SECURITY IN 2018
  • FIGURE 25: APPLICANT TRACKING & ASSESSMENT TO GROW THE HIGHEST CAGR IN AI (CHIPSETS) MARKET FOR HR THROUGHOUT FORECAST PERIOD
  • FIGURE 26: AI (CHIPSETS) MARKET FOR VIRTUAL ASSISTANT TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 27: LEGAL RESEARCH HELD LARGEST MARKET SHARE IN 2018
  • FIGURE 28: VIRTUAL ASSISTANT PROJECTED TO WITNESS HIGHEST GROWTH BETWEEN 2018 AND 2025
  • FIGURE 29: RAPIDLY GROWING MARKETS SUCH AS CHINA, JAPAN, GERMANY, AND INDIA EMERGING AS NEW HOT SPOTS IN AI (CHIPSETS) MARKET
  • FIGURE 30: AI (CHIPSETS) MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2018 TO 2025
  • FIGURE 31: MARKET SNAPSHOT: NORTH AMERICA
  • FIGURE 32: MARKETING TO HOLD LARGEST SIZE OF CANADIAN AI (CHIPSETS) MARKET BETWEEN 2018 AND 2025
  • FIGURE 33: MARKET SNAPSHOT: EUROPE
  • FIGURE 34: HEALTHCARE TO HOLD LARGEST SIZE OF GERMAN AI (CHIPSETS) MARKET BY 2025
  • FIGURE 35: MARKET SNAPSHOT: ASIA PACIFIC
  • FIGURE 36: MARKETING TO HOLD LARGEST SHARE OF SOUTH KOREAN AI (CHIPSETS) MARKET IN 2025
  • FIGURE 37: MARKET SNAPSHOT: REST OF THE WORLD
  • FIGURE 38: KEY DEVELOPMENTS ADOPTED BY THE TOP PLAYERS IN THE AI (CHIPSETS) MARKET BETWEEN 2015 AND 2017
  • FIGURE 39: NVIDIA: COMPANY SNAPSHOT
  • FIGURE 40: INTEL: COMPANY SNAPSHOT
  • FIGURE 41: XILINX: COMPANY SNAPSHOT
  • FIGURE 42: SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
  • FIGURE 43: MICRON TECHNOLOGY: COMPANY SNAPSHOT
  • FIGURE 44: QUALCOMM TECHNOLOGIES: COMPANY SNAPSHOT
  • FIGURE 45: IBM: COMPANY SNAPSHOT
  • FIGURE 46: GOOGLE: COMPANY SNAPSHOT
  • FIGURE 47: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 48: AWS: COMPANY SNAPSHOT
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