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市場調查報告書

人工智能的全球市場 至2020年的預測:技術 (機器學習,自然語言處理,語音辨識)、用途 (廣告、媒體,金融,零售)、各地區

Artificial Intelligence 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 184 Pages
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人工智能的全球市場 至2020年的預測:技術 (機器學習,自然語言處理,語音辨識)、用途 (廣告、媒體,金融,零售)、各地區 Artificial Intelligence 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 184 Pages
簡介

全球人工智能的市場規模,預計從2015年的4億1970萬美元,到50億5000萬美元,以53.65%年複合成長率 (CAGR) 成長。迅速的市場成長的主要原因,是人工智能的有效利用領域廣泛,及生產率提高、顧客滿意度改善的效果等。尤其器學習領域佔最大的市場佔有率。各用途中,媒體、廣告產業成為最大的市場之外,零售、醫療、法律界、石油/天然氣的領域也預計急速成長。

本報告提供全球人工智能 (AI) 的市場相關分析,技術性概要和市場基本結構、最新趨勢,主要市場促進、阻礙因素,市場趨勢與今後的預測 (過去2年、今後6年份),各類型、各用途、各地區的詳細趨勢,市場競爭的狀態,今後的技術開發、市場發展的方向性,主要企業簡介等調查、考察。

第1章 簡介

第2章 分析方法

第3章 摘要整理

第4章 重要考察

第5章 市場概要

  • 簡介
  • 市場動態
    • 推動因素
      • 人工智能的有效利用領域寬幅
      • 提高生產率用的人工智能的需求擴大
      • 改善顧客滿意度的人工智能的需求擴大
    • 阻礙因素
      • 對於人工智能利用,各產業專家的反對
      • 技術純熟勞工的不足
    • 市場機會
      • 人工智能的有效利用領域的擴大
    • 課題
      • 人工智能的模式、機制的創造

第6章 產業趨勢

  • 簡介
  • 價值鏈分析
    • 主要的影響要素
  • 波特的五力分析

第7章 人工智能市場:各技術

  • 簡介
  • 機器學習
    • 深層學習
  • 自然地語言處理 (NLP)
  • 影像處理
  • 語音辨識

第8章 人工智能市場:各硬體設備、各類服務

  • 硬體設備
    • 電腦/GPU晶片
    • 雲端
    • 其他
  • 服務
    • 安裝
    • 訓練
    • 支援、整備

第9章 人工智能市場:各活用領域

  • 簡介
    • 媒體、廣告
    • 金融
    • 零售
    • 醫療
    • 汽車、運輸機器
    • 農業
    • 法律界人士
    • 石油、天然氣
    • 其他

第10章 人工智能市場:各地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 亞太地區
    • 日本
    • 中國
    • 韓國
    • 印度
    • 其他
  • 歐洲
    • 英國
    • 瑞典
    • 德國
    • 法國
  • 其他的國家 (RoW)

第11章 競爭環境

  • 概要
  • 市場排行榜分析:人工智能市場
  • 新創業方案
    • Start-Ups企業 vs. 創業投資
  • 競爭情形與趨勢
    • 新產品的銷售
    • 企業合併、收購 (M&A)
    • 產業擴張、合資企業、契約、產業聯盟

第12章 企業簡介 (概要、產品與服務、財務狀況、策略、近幾年趨勢)

  • 簡介
  • GOOGLE INC.
  • IBM CORP.
  • MICROSOFT CORP.
  • IPSOFT
  • ROCKET FUEL INC.
  • FINGENIUS LTD.
  • KENSHO TECHNOLOGIES, INC.
  • MOBILEYE N.V.
  • SENTIENT TECHNOLOGIES
  • ZEPHYR TECHNOLOGY

第13章 附錄

圖表一覽

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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. ARTIFICIAL INTELLIGENCE MARKET EXPECTED TO PREVAIL IN NORTH AMERICA
  • 4.2. ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2022)
  • 4.3. ARTIFICIAL INTELLIGENCE MARKET, BY END-USER INDUSTRY AND GEOGRAPHY, 2016
  • 4.4. ARTIFICIAL INTELLIGENCE MARKET, BY GEOGRAPHY (2016)
  • 4.5. ARTIFICIAL INTELLIGENCE 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 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 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 artificial intelligence

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. ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY

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

8. ARTIFICIAL INTELLIGENCE 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. ARTIFICIAL INTELLIGENCE 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. EXPLORATION AND PRODUCTION (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 HUMAN-MACHINE INTERFACE
  • 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. REST OF EUROPE
  • 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. REST OF THE WORLD

11. COMPETITIVE LANDSCAPE

  • 11.1. OVERVIEW
  • 11.2. MARKET RANK ANALYSIS: ARTIFICIAL INTELLIGENCE 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 PLAYERS)
  • TABLE 6: SOME OF THE PROMINENT INVESTMENTS IN AI MARKET IN THE PAST THREE YEARS
  • TABLE 7: KEY INDUSTRY TRENDS: DEVELOPMENT OF NEW AI ALGORITHMS AND AI-ENABLED HARDWARE DEVICES
  • TABLE 8: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 9: ARTIFICIAL INTELLIGENCE MARKET FOR DEEP LEARNING, BY OFFERING, 2013-2022(USD MILLION)
  • TABLE 10: ARTIFICIAL INTELLIGENCE MARKET FOR DEEP LEARNING, BY END-USER INDUSTRY, 2013-2022(USD MILLION)
  • TABLE 11: ARTIFICIAL INTELLIGENCE MARKET FOR ROBOTICS, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 12: ARTIFICIAL INTELLIGENCE MARKET FOR DIGITAL PERSONAL ASSISTANT, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 13: ARTIFICIAL INTELLIGENCE MARKET FOR QUERYING METHOD, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 14: ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 15: ARTIFICIAL INTELLIGENCE MARKET FOR CONTEXT-AWARE PROCESSING, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 16: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2013-2022 (USD MILLION)
  • TABLE 17: ARTIFICIAL INTELLIGENCE MARKET FOR PRODUCT, BY TYPE, 2013-2022 (USD MILLION)
  • TABLE 18: SOME OF THE ONGOING AI SOFTWARE DEVELOPMENT PROJECTS
  • TABLE 19: ARTIFICIAL INTELLIGENCE MARKET, BY END-USER INDUSTRY, 2013-2022 (USD MILLION)
  • TABLE 20: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 21: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 22: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 23: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 24: ARTIFICIAL INTELLIGENCE MARKET FOR AGRICULTURE IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 25: ARTIFICIAL INTELLIGENCE MARKET FOR BFSI, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 26: ARTIFICIAL INTELLIGENCE MARKET FOR BFSI IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 27: ARTIFICIAL INTELLIGENCE MARKET FOR BFSI IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 28: ARTIFICIAL INTELLIGENCE MARKET FOR BFSI IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 29: ARTIFICIAL INTELLIGENCE MARKET FOR BFSI IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 30: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 31: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 32: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 33: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 34: ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 35: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 36: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 37: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 38: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 39: ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 40: ARTIFICIAL INTELLIGENCE MARKET FOR OIL & GAS, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 41: ARTIFICIAL INTELLIGENCE MARKET FOR OIL & GAS IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 42: ARTIFICIAL INTELLIGENCE MARKET FOR OIL & GAS IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 43: ARTIFICIAL INTELLIGENCE MARKET FOR OIL & GAS IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 44: ARTIFICIAL INTELLIGENCE MARKET FOR OIL & GAS IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 45: ARTIFICIAL INTELLIGENCE MARKET FOR MEDIA & ADVERTISING, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 46: ARTIFICIAL INTELLIGENCE MARKET FOR MEDIA & ADVERTISING IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 47: ARTIFICIAL INTELLIGENCE MARKET FOR MEDIA & ADVERTISING IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 48: ARTIFICIAL INTELLIGENCE MARKET FOR MEDIA & ADVERTISING IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 49: ARTIFICIAL INTELLIGENCE MARKET FOR MEDIA & ADVERTISING IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 50: ARTIFICIAL INTELLIGENCE MARKET FOR TRANSPORTATION & AUTOMOTIVE, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 51: ARTIFICIAL INTELLIGENCE MARKET FOR TRANSPORTATION & AUTOMOTIVE IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 52: ARTIFICIAL INTELLIGENCE MARKET FOR TRANSPORTATION & AUTOMOTIVE IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 53: ARTIFICIAL INTELLIGENCE MARKET FOR TRANSPORTATION & AUTOMOTIVE IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 54: ARTIFICIAL INTELLIGENCE MARKET FOR TRANSPORTATION & AUTOMOTIVE IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 55: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 56: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 57: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 58: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 59: ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 60: ARTIFICIAL INTELLIGENCE MARKET FOR OTHER INDUSTRIES, BY TECHNOLOGY, 2013-2022 (USD MILLION)
  • TABLE 61: ARTIFICIAL INTELLIGENCE MARKET FOR OTHER INDUSTRIES IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 62: ARTIFICIAL INTELLIGENCE MARKET FOR OTHER INDUSTRIES IN EUROPE, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 63: ARTIFICIAL INTELLIGENCE MARKET FOR OTHER INDUSTRIES IN APAC, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 64: ARTIFICIAL INTELLIGENCE MARKET FOR OTHER INDUSTRIES IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 65: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 66: ARTIFICIAL INTELLIGENCE MARKET IN NORTH AMERICA, BY COUNTRY, 2013-2022 (USD MILLION)
  • TABLE 67: ARTIFICIAL INTELLIGENCE MARKET IN EUROPE, BY COUNTRY, 2013-2020 (USD MILLION)
  • TABLE 68: ARTIFICIAL INTELLIGENCE MARKET IN APAC, BY COUNTRY, 2013-2020 (USD MILLION)
  • TABLE 69: ARTIFICIAL INTELLIGENCE MARKET IN ROW, BY REGION, 2013-2022 (USD MILLION)
  • TABLE 70: RANKING OF THE KEY PLAYERS IN THE ARTIFICIAL INTELLIGENCE 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: ARTIFICIAL INTELLIGENCE MARKET SEGMENTATION
  • FIGURE 6: NATURAL LANGUAGE PROCESSING EXPECTED TO DOMINATE THE ARTIFICIAL INTELLIGENCE MARKET DURING THE FORECAST PERIOD
  • FIGURE 7: SERVICES SEGMENT EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 8: ARTIFICIAL INTELLIGENCE MARKET, BY END-USER INDUSTRY (2016 VS. 2022): TRANSPORTATION & AUTOMOTIVE EXPECTED TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 9: ARTIFICIAL INTELLIGENCE MARKET, BY GEOGRAPHY, 2015
  • FIGURE 10: ATTRACTIVE GROWTH OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE MARKET
  • FIGURE 11: NATURAL LANGUAGE PROCESSOR EXPECTED TO HOLD THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD
  • FIGURE 12: NORTH AMERICA EXPECTED TO HOLD THE LARGEST SHARE OF THE ARTIFICIAL INTELLIGENCE MARKET IN 2016
  • FIGURE 13: THE U.S. HOLDS THE LARGEST SHARE OF THE GLOBAL ARTIFICIAL INTELLIGENCE MARKET (2016)
  • FIGURE 14: MARKET SEGMENTATION, BY GEOGRAPHY
  • FIGURE 15: GROWING NUMBER OF APPLICATIONS OF AI TECHNOLOGIES IN VARIOUS INDUSTRY VERTICALS DRIVING THE GROWTH OF THE MARKET
  • FIGURE 16: IP TRAFFIC GROWTH PROJECTIONS TILL 2020
  • FIGURE 17: VALUE CHAIN ANALYSIS: MAJOR VALUE ADDED DURING COMPONENT DEVELOPMENT AND DEVICE INTEGRATOR PHASE IN 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 IN 2015
  • FIGURE 21: THREAT OF NEW ENTRANTS HAD HIGH IMPACT ON AI MARKET IN 2015
  • FIGURE 22: BARGAINING POWER OF SUPPLIERS HAD LOW IMPACT ON AI MARKET IN 2015
  • FIGURE 23: BARGAINING POWER OF BUYERS HAD LOW IMPACT ON AI MARKET IN 2015
  • FIGURE 24: ARTIFICAL INTELLIGENCE MARKET, BY TECHNOLOGY
  • FIGURE 25: MARKET FOR NATURAL LANGUAGE PROCESSING TECHNOLOGY EXPECTED TO GROW AT THE HIGHEST RATE FROM 2016 TO 2022
  • FIGURE 26: MANUFACTURING INDUSTRY EXPECTED TO LEAD THE MARKET FOR ROBOTICS BETWEEN 2016 AND 2022
  • FIGURE 27: TRANSPORTATION AND AUTOMOTIVE WOULD LEAD THE QUERYING METHOD TECHNOLOGY MARKET DURING 2016-2022
  • FIGURE 28: MEDIA & ADVERTISING INDUSTRY TO HOLD A MAJOR SHARE OF THE NATURAL LANGUAGE PROCESSING TECHNOLOGY MARKET BY 2022
  • FIGURE 29: MARKET FOR SERVICES SEGMENT TO GROW AT THE HIGHEST RATE FROM 2016 TO 2022
  • FIGURE 30: SOFTWARE SEGMENT HELD THE LARGEST MARKET SHARE THROUGHOUT THE FORECAST PERIOD
  • FIGURE 31: ARTIFICIAL INTELLIGENCE MARKET SEGMENTATION, BY SERVICE
  • FIGURE 32: HEALTHCARE INDUSTRY EXPECTED TO EXHIBIT THE HIGHEST GROWTH FROM 2016 TO 2022
  • FIGURE 33: CHINA TO DOMINATE THE AGRICULTURE INDUSTRY IN APAC DURING THE FORECAST PERIOD
  • FIGURE 34: GERMANY EXPECTED TO LEAD THE AI MARKET FOR BFSI FROM 2016 TO 2022
  • FIGURE 35: THE U.S. LED THE MARKET FOR AI TECHNOLOGY IN MANUFACTURING IN 2015
  • FIGURE 36: CHINA TO WITNESS THE HIGHEST GROWTH RATE IN THE AI MARKET FOR HEALTHCARE IN APAC
  • FIGURE 37: LATIN AMERICA EXPECTED TO LEAD THE ARTIFICIAL INTELLIGENCE MARKET FOR OIL & GAS INDUSTRY FROM 2016 TO 2022
  • FIGURE 38: GERMANY EXPECTED TO HOLD A MAJOR MARKET SHARE FROM 2016 TO 2022
  • FIGURE 39: U.S. TO HOLD A MAJOR SHARE OF THE MARKET FROM 2016 TO 2022
  • FIGURE 40: GERMANY TO HOLD A MAJOR SHARE OF THE EUROPEAN MARKET SHARE FROM 2016 TO 2022
  • FIGURE 41: THE U.S. 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 THE NEW HOT SPOTS IN THE AI MARKET
  • FIGURE 43: ARTIFICIAL INTELLIGENCE MARKET IN NORTH AMERICA EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2016 TO 2022
  • FIGURE 44: DEMAND EXPECTED TO BE DRIVEN BY THE MEDIA & ADVERTISING SECTOR IN NORTH AMERICA
  • FIGURE 45: U.S. LED THE NORTH AMERICAN ARTIFICIAL INTELLIGENCE MARKET IN 2016
  • FIGURE 46: DEMAND EXPECTED TO BE DRIVEN BY THE TRANSPORTATION & AUTOMOTIVE SECTOR IN EUROPE
  • FIGURE 47: AI MARKET IN REST OF EUROPE TO EXPECTED TO GROW AT THE HIGHEST RATE FROM 2016 TO 2022
  • FIGURE 48: DEMAND EXPECTED TO BE DRIVEN BY TRANSPORTATION & AUTOMOTIVE SECTOR IN APAC
  • FIGURE 49: CHINA TO HOLD THE MAJOR MARKET SHARE FROM 2016 TO 2022
  • FIGURE 50: DEMAND TO BE DRIVEN BY TRANSPORTATION & AUTOMOTIVE SECTOR IN REST OF THE WORLD
  • FIGURE 51: LATIN AMERICA 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 2013 AND 2015
  • FIGURE 54: GEOGRAPHIC REVENUE MIX OF TOP 5 PLAYERS 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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