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市場調查報告書

人工智能 (AI)的全球市場 ∼2022年:深度學習,機器人,數位個人助手,查詢方式,自然語言處理,情境察覺處理

Artificial Intelligence (Chipsets) Market by Technology (Deep Learning, Robotics, Digital Personal Assistant, Querying Method, Natural Language Processing, Context Aware Processing), Offering, End-User Industry, and Geography - Global Forecast to 2022

出版商 MarketsandMarkets 商品編碼 351619
出版日期 內容資訊 英文 175 Pages
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人工智能 (AI)的全球市場 ∼2022年:深度學習,機器人,數位個人助手,查詢方式,自然語言處理,情境察覺處理 Artificial Intelligence (Chipsets) Market by Technology (Deep Learning, Robotics, Digital Personal Assistant, Querying Method, Natural Language Processing, Context Aware Processing), Offering, End-User Industry, and Geography - Global Forecast to 2022
出版日期: 2016年11月29日 內容資訊: 英文 175 Pages
簡介

人工智能 (AI) 市場,預計至2022年擴大到160億6000萬美元。預計市場2016年∼2022年以62.9%的年複合成長率成長。

本報告提供全球人工智能 (AI) 市場相關調查分析,市場概要,產業趨勢,各市場區隔的市場分析,競爭情形,主要企業等相關的系統性資訊。

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 (AI) 市場在北美優勢
  • 人工智能 (AI) 市場:各技術
  • 人工智能 (AI) 市場:各終端用戶產業、地區
  • 人工智能 (AI) 市場:各地區
  • 人工智能 (AI) 市場:各產品

第5章 人工智能 (AI)的全球市場:概要

  • 簡介
  • 市場區隔
  • 市場動態
    • 推動因素
    • 阻礙因素
    • 機會
    • 課題

第6章 人工智能 (AI)的全球市場:產業趨勢

  • 簡介
  • 價值鏈分析
  • 主要產業發展
  • 波特的五力分析

第7章 人工智能 (AI)的全球市場:各技術

  • 簡介
  • 深度學習 (深層學習)
  • 機器人工學
  • 數位個人助手
  • 查詢方式
  • 自然語言處理
  • 情境察覺處理

第8章 人工智能 (AI)的全球市場:各提供

  • 簡介
  • 產品
  • 服務

第9章 人工智能 (AI)的全球市場:各終端用戶產業

  • 簡介
  • 農業
  • BFSI
  • 製造
  • 醫療
  • 石油、天然氣
  • 媒體、廣告
  • 運輸、汽車
  • 零售
  • 其他

第10章 人工智能 (AI)的全球市場:各地區

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 其他

第11章 競爭情形

  • 概要
  • 市場排名分析
  • 競爭情形與趨勢

第12章 企業簡介

  • 簡介
  • GOOGLE INC.
  • IBM CORPORATION
  • MICROSOFT CORPORATION
  • NVIDIA CORPORATION
  • INTEL CORPORATION
  • GENERAL VISION, INC.
  • NUMENTA, INC.
  • SENTIENT TECHNOLOGIES HOLDINGS LTD.
  • FINGENIUS LIMITED
  • INBENTA TECHNOLOGIES, INC.

第13章 附錄

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目錄
Product Code: SE 4053

Artificial intelligence market to grow at a CAGR of 62.9%

According to the new market research report on artificial intelligence, this market is expected to be worth USD 16.06 billion by 2022, growing at a CAGR of 62.9% from 2016 to 2022. The growth of the artificial intelligence market can be attributed to the growing application of artificial intelligence in various industries and the increasing adoption of AI for improving consumer service. However, the lack of availability of low-cost and energy-efficient hardware, especially high-speed computing hardware, is hindering the growth of AI market

Natural language processing is expected to grow at the highest rate from 2016 to 2022

The market for natural language processing (NLP) is expected to witness fastest CAGR from 2016 to 2022. The growing adoption of NLP in various applications such as AI-powered robots, smartphones, car-infotainment systems, navigation systems, and personal assistant systems, among others is largely driving its growth. Moreover, the deep learning technology is likely to grow at the second-highest CAGR from 2016 to 2022. The growing penetration of deep learning algorithms for myriad AI applications such as voice recognition, fraud detection, voice search, recommendation engines, sentiment analysis, image recognition, and motion detection, among others is mainly driving its market growth.

Artificial intelligence for the transportation and automotive sector held the largest market share in 2015

The artificial intelligence market for the transportation and automotive sector held the largest market share compared to other end-user industries in 2015. The use of various AI technologies such as machine learning, natural language processing, image processing, and speech recognition for self-driving cars and the development of human-machine interface systems would drive in the growth of this segment.

Artificial intelligence market in North America expected to grow at the highest rate

This report covers the AI market in regions including North America, Europe, Asia-Pacific, and Rest of the World (RoW). The market in North America is expected to grow at a high CAGR from 2016 to 2022 owing to factors such as the wide-scale adoption of AI technologies in several industries such as manufacturing, media and advertising, healthcare, BFSI, and transportation and automotive. Moreover, the presence of key industry players such as Google Inc. (U.S), IBM Corporation (U.S.), NVIDIA Corporation (U.S.), and Microsoft Corporation (U.S.) which are engaged in R&D and new product launches of AI-enabled products is further fuelling its market growth.

Breakdown of Profiles of Primary Participants:

  • By Company Type: Tier 1 - 50%, Tier 2 - 33%, and Tier 3 - 17%
  • By Designation: C level - 62%, Director level - 25%, and Others - 13%
  • By Region: North America - 40%, APAC - 25%, Europe - 20%, and RoW - 15%

The companies that are profiled in the report are IBM Corp. (U.S.), Microsoft Corp. (U.S.), Google Inc. (U.S.), FinGenius Ltd. (U.K.), NVIDIA Corporation (U.S.), Intel Corporation (U.S.), General Vision, Inc. (U.S.), Numenta, Inc. (U.S.), Sentient Technologies (U.S.), and Inbenta Technologies, Inc. (U.S.).

Research Coverage:

The report describes various technologies associated with artificial intelligence and related developments in terms of hardware, software solutions, and associated services across different industry verticals and regions. It aims at estimating the market size and future growth potential of this market across different segments such as offering, technology, end-user industry, and geography. Furthermore, the report also includes an in-depth competitive analysis of the key players in the market along with their company profiles, SWOT analysis, recent developments, and key market strategies.

Reasons to Buy the Report:

  • This report includes the market statistics pertaining to technology, offering, end-user industry, and geography along with their respective revenue.
  • The Porter's Five Forces framework has been provided along with the value chain analysis to provide an in-depth insight into the artificial intelligence market.
  • The major drivers, restraints, challenges, and opportunities for the artificial intelligence market have been detailed in this report.
  • Illustrative segmentation, analysis, and forecast for artificial intelligence markets based on technology, offering, end-user industry, and geography have been provided to give an overall view of the artificial intelligence market.
  • A detailed competitive landscape has been provided including key players, in-depth analysis, and revenue of key players.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. SCOPE OF THE STUDY
    • 1.3.1. MARKETS COVERED
      • 1.3.1.1. Geographic scope
    • 1.3.2. YEARS CONSIDERED FOR THE STUDY
  • 1.4. CURRENCY
  • 1.5. LIMITATIONS
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Key data from secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Key data from primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primaries
  • 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. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. AI MARKET IS EXPECTED TO PREVAIL IN NORTH AMERICA
  • 4.2. AI MARKET, BY TECHNOLOGY, 2016-2022
  • 4.3. AI MARKET, BY END-USER INDUSTRY AND GEOGRAPHY, 2016
  • 4.4. AI MARKET, BY GEOGRAPHY, 2016
  • 4.5. AI MARKET, BY OFFERING, 2016

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET SEGMENTATION
    • 5.2.1. BY TECHNOLOGY
    • 5.2.2. BY OFFERING
    • 5.2.3. BY END-USER INDUSTRY
    • 5.2.4. BY GEOGRAPHY
  • 5.3. MARKET DYNAMICS
    • 5.3.1. DRIVERS
      • 5.3.1.1. Increasingly large and complex dataset is driving the need for AI
      • 5.3.1.2. Adoption of AI for improving consumer services
      • 5.3.1.3. Growing number of AI applications
    • 5.3.2. RESTRAINTS
      • 5.3.2.1. Lack of availability of cheaper hardware to develop AI-enabled products
      • 5.3.2.2. Lack of skilled workforce
    • 5.3.3. OPPORTUNITIES
      • 5.3.3.1. Increasing focus on developing human-aware AI systems
      • 5.3.3.2. Widening scope of AI technologies across the R&D sector within high-tech end-user industries
    • 5.3.4. CHALLENGES
      • 5.3.4.1. Low return on investment
      • 5.3.4.2. Creating models and mechanisms of AI

6. INDUSTRY TRENDS

  • 6.1. INTRODUCTION
  • 6.2. VALUE CHAIN ANALYSIS
  • 6.3. KEY INDUSTRY DEVELOPMENTS
  • 6.4. PORTER'S FIVE FORCES ANALYSIS
    • 6.4.1. INDUSTRY RIVALRY
    • 6.4.2. THREAT OF SUBSTITUTES
    • 6.4.3. THREAT OF NEW ENTRANTS
    • 6.4.4. BARGAINING POWER OF SUPPLIERS
    • 6.4.5. BARGAINING POWER OF BUYERS

7. AI MARKET, BY TECHNOLOGY

  • 7.1. INTRODUCTION
  • 7.2. DEEP LEARNING
  • 7.3. ROBOTICS
  • 7.4. DIGITAL PERSONAL ASSISTANT
  • 7.5. QUERYING METHOD
  • 7.6. NLP
  • 7.7. CONTEXT-AWARE PROCESSING

8. AI MARKET, BY OFFERING

  • 8.1. INTRODUCTION
  • 8.2. BY PRODUCT
    • 8.2.1. HARDWARE
    • 8.2.2. SOFTWARE
  • 8.3. SERVICES
    • 8.3.1. INSTALLATION
    • 8.3.2. TRAINING
    • 8.3.3. SUPPORT & MAINTENANCE

9. AI MARKET, BY END-USER INDUSTRY

  • 9.1. INTRODUCTION
  • 9.2. AGRICULTURE
    • 9.2.1. CROP MONITORING
    • 9.2.2. AUTOMATED IRRIGATION/HARVESTING (GPS-ENABLED) SYSTEMS
    • 9.2.3. AI-GUIDED DRONE
  • 9.3. BFSI
    • 9.3.1. WEALTH MANAGEMENT
    • 9.3.2. FRAUD DETECTION
    • 9.3.3. AUTOMATED VIRTUAL ASSISTANTS
  • 9.4. MANUFACTURING
    • 9.4.1. ROBOT INTEGRATED CIM SYSTEMS
  • 9.5. HEALTHCARE
    • 9.5.1. HEALTH ASSISTANCE AND MEDICAL MANAGEMENT
    • 9.5.2. DRUG DEVELOPMENT
  • 9.6. OIL & GAS
    • 9.6.1. E&P LIFE CYCLE
  • 9.7. MEDIA & ADVERTISING
    • 9.7.1. FACIAL RECOGNITION ADVERTISING
    • 9.7.2. CUSTOMER SELF-SERVICE
  • 9.8. TRANSPORTATION & AUTOMOTIVE
    • 9.8.1. AUTONOMOUS GUIDED VEHICLES
    • 9.8.2. INFOTAINMENT HMI
  • 9.9. RETAIL
    • 9.9.1. PRODUCT RECOMMENDATIONS
    • 9.9.2. AUTONOMOUS IN-STORE ROBOTS
  • 9.10. OTHERS (LAW AND EDUCATION)
    • 9.10.1. LEGAL INFORMATICS
    • 9.10.2. VIRTUAL MENTOR

10. GEOGRAPHIC ANALYSIS

  • 10.1. INTRODUCTION
  • 10.2. NORTH AMERICA
    • 10.2.1. U.S.
    • 10.2.2. CANADA
    • 10.2.3. MEXICO
  • 10.3. EUROPE
    • 10.3.1. U.K.
    • 10.3.2. GERMANY
    • 10.3.3. FRANCE
    • 10.3.4. ROE
  • 10.4. APAC
    • 10.4.1. CHINA
    • 10.4.2. JAPAN
    • 10.4.3. SOUTH KOREA
    • 10.4.4. INDIA
    • 10.4.5. REST OF APAC
  • 10.5. ROW

11. COMPETITIVE LANDSCAPE

  • 11.1. OVERVIEW
  • 11.2. MARKET RANK ANALYSIS: AI MARKET
  • 11.3. COMPETITIVE SITUATION AND TRENDS
    • 11.3.1. NEW PRODUCT DEVELOPMENTS AND LAUNCHES
    • 11.3.2. ACQUISITIONS
    • 11.3.3. COLLABORATIONS & PARTNERSHIPS

12. COMPANY PROFILES (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, Ratio Analysis, MnM View)*

  • 12.1. INTRODUCTION
  • 12.2. GOOGLE INC.
  • 12.3. IBM CORPORATION
  • 12.4. MICROSOFT CORPORATION
  • 12.5. NVIDIA CORPORATION
  • 12.6. INTEL CORPORATION
  • 12.7. GENERAL VISION, INC.
  • 12.8. NUMENTA, INC.
  • 12.9. SENTIENT TECHNOLOGIES HOLDINGS LTD.
  • 12.10. FINGENIUS LIMITED
  • 12.11. INBENTA TECHNOLOGIES, INC.

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

13. APPENDIX

  • 13.1. INSIGHTS FROM INDUSTRY EXPERTS
  • 13.2. DISCUSSION GUIDE
  • 13.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4. INTRODUCING RT: REAL TIME MARKET INTELLIGENCE
  • 13.5. AVAILABLE CUSTOMIZATIONS
  • 13.6. RELATED REPORTS
  • 13.7. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: CURRENCY TABLE
  • TABLE 2: AI MARKET, BY TECHNOLOGY
  • TABLE 3: AI MARKET, BY OFFERING
  • TABLE 4: AI MARKET, BY END-USER INDUSTRY
  • TABLE 5: PRICE COMPARISON: AI HARDWARE (LEADING COMPANIES)
  • TABLE 6: SOME PROMINENT INVESTMENTS IN THE AI MARKET IN THE PAST THREE YEARS
  • TABLE 7: KEY INDUSTRY TRENDS: DEVELOPMENT OF NEW AI ALGORITHMS AND AI-ENABLED HARDWARE DEVICES
  • TABLE 8: AI MARKET, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 9: AI MARKET FOR DEEP LEARNING, BY OFFERING, 2013-2022(USD MILLION)
  • TABLE 10: AI MARKET FOR DEEP LEARNING, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 11: AI MARKET FOR ROBOTICS, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 12: AI MARKET FOR DIGITAL PERSONAL ASSISTANT, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 13: AI MARKET FOR QUERYING METHOD, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 14: AI MARKET FOR NLP, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 15: AI MARKET FOR CONTEXT-AWARE PROCESSING, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 16: AI MARKET, BY OFFERING, 2013-2022 (USD MILLION)
  • TABLE 17: AI MARKET FOR PRODUCT, BY TYPE, 2013-2022 (USD MILLION)
  • TABLE 18: SOME ONGOING AI SOFTWARE DEVELOPMENT PROJECTS
  • TABLE 19: AI MARKET, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 20: AI MARKET FOR AGRICULTURE, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 21: AI MARKET FOR AGRICULTURE IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 22: AI MARKET FOR AGRICULTURE IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 23: AI MARKET FOR AGRICULTURE IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 24: AI MARKET FOR AGRICULTURE IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 25: AI MARKET FOR BFSI, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 26: AI MARKET FOR BFSI IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 27: AI MARKET FOR BFSI IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 28: AI MARKET FOR BFSI IN APAC, BY COUNTRY,2013-2022 (USD MILLION)
  • TABLE 29: AI MARKET FOR BFSI IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 30: AI MARKET FOR MANUFACTURING, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 31: AI MARKET FOR MANUFACTURING IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 32: AI MARKET FOR MANUFACTURING IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 33: AI MARKET FOR MANUFACTURING IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 34: AI MARKET FOR MANUFACTURING IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 35: AI MARKET FOR HEALTHCARE, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 36: AI MARKET FOR HEALTHCARE IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 37: AI MARKET FOR HEALTHCARE IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 38: AI MARKET FOR HEALTHCARE IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 39: AI MARKET FOR HEALTHCARE IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 40: AI MARKET FOR OIL & GAS, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 41: AI MARKET FOR OIL & GAS IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 42: AI MARKET FOR OIL & GAS IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 43: AI MARKET FOR OIL & GAS IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 44: AI MARKET FOR OIL & GAS IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 45: AI MARKET FOR MEDIA & ADVERTISING, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 46: AI MARKET FOR MEDIA & ADVERTISING IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 47: AI MARKET FOR MEDIA & ADVERTISING IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 48: AI MARKET FOR MEDIA & ADVERTISING IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 49: AI MARKET FOR MEDIA & ADVERTISING IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 50: AI MARKET FOR TRANSPORTATION & AUTOMOTIVE, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 51: AI MARKET FOR TRANSPORTATION & AUTOMOTIVE IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 52: AI MARKET FOR TRANSPORTATION & AUTOMOTIVE IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 53: AI MARKET FOR TRANSPORTATION & AUTOMOTIVE IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 54: AI MARKET FOR TRANSPORTATION & AUTOMOTIVE IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 55: AI MARKET FOR RETAIL, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 56: AI MARKET FOR RETAIL IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 57: AI MARKET FOR RETAIL IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 58: AI MARKET FOR RETAIL IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 59: AI MARKET FOR RETAIL IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 60: AI MARKET FOR OTHER INDUSTRIES, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 61: AI MARKET FOR OTHER INDUSTRIES IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 62: AI MARKET FOR OTHER INDUSTRIES IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 63: AI MARKET FOR OTHER INDUSTRIES IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 64: AI MARKET FOR OTHER INDUSTRIES IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 65: AI MARKET, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 66: AI MARKET IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 67: AI MARKET IN EUROPE, BY COUNTRY, 2013-2020 (USD MILLION)
  • TABLE 68: AI MARKET IN APAC, BY COUNTRY, 2013-2020 (USD MILLION)
  • TABLE 69: AI MARKET IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 70: RANKING OF THE KEY COMPANIES IN THE AI MARKET, 2015
  • TABLE 71: NEW PRODUCT LAUNCHES AND DEVELOPMENTS, 2013-2016
  • TABLE 72: ACQUISITIONS, 2013-2016
  • TABLE 73: COLLABORATIONS & PARTNERSHIPS, 2013-2016

LIST OF FIGURES

  • FIGURE 1: MARKET SEGMENTATION
  • FIGURE 2: AI MARKET: RESEARCH DESIGN
  • FIGURE 3: DATA TRIANGULATION
  • FIGURE 4: PROCESS FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 5: AI MARKET SEGMENTATION
  • FIGURE 6: NLP IS EXPECTED TO DOMINATE THE AI MARKET DURING THE FORECAST PERIOD
  • FIGURE 7: SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 8: AI MARKET, BY END-USER INDUSTRY (2016 VS. 2022): TRANSPORTATION & AUTOMOTIVE SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 9: AI MARKET, BY GEOGRAPHY, 2015
  • FIGURE 10: ATTRACTIVE GROWTH OPPORTUNITIES IN THE AI MARKET
  • FIGURE 11: NLP IS EXPECTED TO HOLD THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD
  • FIGURE 12: NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST SHARE OF THE AI MARKET IN 2016
  • FIGURE 13: THE U.S. HOLDS THE LARGEST SHARE OF THE GLOBAL AI MARKET, 2016
  • FIGURE 14: MARKET SEGMENTATION, BY GEOGRAPHY
  • FIGURE 15: GROWING NUMBER OF APPLICATIONS OF AI TECHNOLOGIES IN VARIOUS INDUSTRY VERTICALS ARE DRIVING MARKET GROWTH
  • FIGURE 16: IP TRAFFIC GROWTH PROJECTIONS UNTIL 2020
  • FIGURE 17: VALUE CHAIN ANALYSIS: MAJOR VALUE IS ADDED DURING COMPONENT DEVELOPMENT AND DEVICE INTEGRATOR PHASE, 2015
  • FIGURE 18: PORTER'S FIVE FORCES ANALYSIS, 2015
  • FIGURE 19: AI MARKET: PORTER'S FIVE FORCES ANALYSIS, 2015
  • FIGURE 20: INDUSTRY RIVALRY HAD A HIGH IMPACT ON AI MARKET, 2015
  • FIGURE 21: THREAT OF NEW ENTRANTS HAD HIGH IMPACT ON THE AI MARKET, 2015
  • FIGURE 22: BARGAINING POWER OF SUPPLIERS HAD A LOW IMPACT ON THE AI MARKET, 2015
  • FIGURE 23: BARGAINING POWER OF BUYERS HAD A LOW IMPACT ON THE AI MARKET, 2015
  • FIGURE 24: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
  • FIGURE 25: MARKET FOR NLP TECHNOLOGY IS EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2016 TO 2022
  • FIGURE 26: MANUFACTURING INDUSTRY IS EXPECTED TO LEAD THE MARKET FOR ROBOTICS BETWEEN 2016 AND 2022
  • FIGURE 27: TRANSPORTATION & AUTOMOTIVE IS EXPECTED TO LEAD THE QUERYING METHOD TECHNOLOGY MARKET DURING 2016-2022
  • FIGURE 28: MEDIA & ADVERTISING INDUSTRY IS EXPECTED TO HOLD A MAJOR SHARE OF THE NLP TECHNOLOGY MARKET BY 2022
  • FIGURE 29: MARKET FOR SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2016 TO 2022
  • FIGURE 30: SOFTWARE SEGMENT IS EXPECTED TO HOLD THE LARGEST MARKET SHARE THROUGHOUT THE FORECAST PERIOD
  • FIGURE 31: AI MARKET SEGMENTATION, BY SERVICE
  • FIGURE 32: HEALTHCARE INDUSTRY IS EXPECTED TO EXHIBIT THE HIGHEST CAGR FROM 2016 TO 2022
  • FIGURE 33: CHINA IS EXPECTED TO DOMINATE THE AGRICULTURE INDUSTRY IN APAC DURING THE FORECAST PERIOD
  • FIGURE 34: GERMANY IS EXPECTED TO LEAD EUROPE'S AI MARKET FOR BFSI FROM 2016 TO 2022
  • FIGURE 35: THE U.S. LED THE NORTH AMERICA MARKET FOR AI TECHNOLOGY IN MANUFACTURING, 2015
  • FIGURE 36: CHINA IS EXPECTED TO WITNESS THE HIGHEST CAGR IN APAC'S AI MARKET FOR HEALTHCARE
  • FIGURE 37: LATIN AMERICA IS EXPECTED TO LEAD ROW AI MARKET FOR THE OIL & GAS INDUSTRY FROM 2016 TO 2022
  • FIGURE 38: GERMANY IS EXPECTED TO HOLD EUROPE'S MAJOR MARKET SHARE OF MEDIA & ADVERTISING FROM 2016 TO 2022
  • FIGURE 39: U.S. TO HOLD A MAJOR SHARE OF THE TRANSPORTATION &AUTOMOTIVE AI MARKET FROM 2016 TO 2022
  • FIGURE 40: GERMANY IS EXPECTED TO HOLD A MAJOR SHARE OF THE EUROPEAN AI MARKET FOR RETAIL FROM 2016 TO 2022
  • FIGURE 41: THE U.S. IS EXPECTED TO WITNESS SIGNIFICANT GROWTH FOR THE OTHER INDUSTRIES FROM 2016 TO 2022
  • FIGURE 42: RAPIDLY GROWING MARKETS SUCH AS THE U.S., CHINA, AND INDIA ARE EMERGING AS NEW HOT SPOTS IN THE AI MARKET
  • FIGURE 43: AI MARKET IN NORTH AMERICA IS EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2016 TO 2022
  • FIGURE 44: THE MEDIA & ADVERTISING SECTOR IS EXPECTED TO DRIVE DEMAND IN NORTH AMERICA
  • FIGURE 45: THE U.S. LED THE NORTH AMERICAN AI MARKET IN 2016
  • FIGURE 46: THE TRANSPORTATION & AUTOMOTIVE SECTOR IS EXPECTED TO DRIVE DEMAND IN EUROPE
  • FIGURE 47: AI MARKET IN ROE TO EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2016 TO 2022
  • FIGURE 48: THE TRANSPORTATION & AUTOMOTIVE SECTOR IS EXPECTED TO DRIVE DEMAND IN APAC
  • FIGURE 49: CHINA IS EXPECTED TO HOLD THE MAJOR MARKET SHARE FROM 2016 TO 2022
  • FIGURE 50: THE TRANSPORTATION & AUTOMOTIVE SECTOR IS EXPECTED TO DRIVE DEMAND IN ROW
  • FIGURE 51: LATIN AMERICA IS EXPECTED TO LEAD THE AI MARKET IN ROW DURING THE FORECAST PERIOD
  • FIGURE 52: COMPANIES ADOPTED NEW PRODUCT DEVELOPMENT AS THE KEY GROWTH STRATEGY BETWEEN 2013 AND 2016
  • FIGURE 53: BATTLE FOR MARKET SHARE: NEW PRODUCT DEVELOPMENT WAS THE KEY STRATEGY BETWEEN 2015 AND 2016
  • FIGURE 54: GEOGRAPHIC REVENUE MIX OF THE TOP FIVE COMPANIES IN 2015
  • FIGURE 55: GOOGLE, INC.: COMPANY SNAPSHOT
  • FIGURE 56: GOOGLE, INC.: SWOT ANALYSIS
  • FIGURE 57: IBM CORPORATION: COMPANY SNAPSHOT
  • FIGURE 58: IBM CORPORATION: SWOT ANALYSIS
  • FIGURE 59: MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • FIGURE 60: MICROSOFT CORPORATION: SWOT ANALYSIS
  • FIGURE 61: NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 62: NVIDIA CORPORATION: SWOT ANALYSIS
  • FIGURE 63: INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 64: INTEL CORPORATION: SWOT ANALYSIS
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