AI in IoT Market by Component (Platforms, Software Solutions, and Services), Technology (ML and Deep Learning, and NLP), Vertical (Transportation and Mobility, Energy and Utilities, Manufacturing, and Retail), and Region - Global Forecast to 2024

IoTにおける人工知能 (AI) の世界市場予測(~2024年)

◆タイトル:AI in IoT Market by Component (Platforms, Software Solutions, and Services), Technology (ML and Deep Learning, and NLP), Vertical (Transportation and Mobility, Energy and Utilities, Manufacturing, and Retail), and Region - Global Forecast to 2024
◆商品コード:TC-7047
◆調査・発行会社:MarketsandMarkets
◆発行日:2019年4月1日
◆ページ数:169
◆レポート形式:PDF / 英語
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【レポートの概要】

当調査レポートでは、IoTにおける人工知能 (AI) の世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、コンポーネント別(プラットフォーム、ソフトウェアソリューション、サービス)分析、技術別(ML・ディープラーニング、NLP)分析、産業別(輸送・モビリティ、エネルギー・ユーティリティ、製造、小売)分析、IoTにおける人工知能 (AI) の世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

The global AI in IoT market size to grow at a Compound Annual Growth Rate (CAGR) of 26.0% during the forecast periodMarketsandMarkets forecasts the global AI in IoT market size to grow from USD 5.1 billion in 2019 to USD 16.2 billion by 2024, at a CAGR of 26.0% during 2019–2024. The major growth drivers for the market include the growing need to efficiently process a vast amount of real-time streaming from IoT devices, reduce maintenance cost and downtime.
The software solutions segment to grow at the highest growth rate during the forecast period
Most of the key vendors in AI in IoT market offers software solutions for enhanced security and scalability. These software solutions are designed to meet interoperability challenges that arise due to varied heterogeneous devices and manage large volumes of data and its security and privacy. They help in mitigating interoperability issues that create flexibility and managing various business functions.
The Natural Language Processing (NLP) technology segment to grow at the highest growth rate during the forecast period
Based on technologies, the AI in IoT market has been segmented into Machine Learning (ML) and deep learning, and NLP. The NLP technology segment is expected to grow at the highest growth rate during the forecast period, due to the growing demand for analyzing huge amounts of data generated by IoT devices. Moreover, NLP enables users to integrate not only voice understanding with devices and sensors, but also localization features, leading to creative translation.
Among regions, Asia Pacific (APAC) to grow at the highest CAGR during the forecast period
In the AI in IoT market by region, APAC is expected to grow at the highest growth rate during the forecast period. The growth in the number of AI in IoT vendors in major APAC countries, such as China and Japan, and innovative technological advancements are expected to drive the growth of the market in APAC.
In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the AI in IoT market.
 By Company: Tier I: 15%, Tier II: 42%, and Tier III: 43%
 By Designation: C-Level: 62%, Director Level: 20%, and Others: 18%
 By Region: North America: 40%, APAC: 30%, Europe: 20%, MEA: 5%, and Latin America: 5%
The report includes the study of the key players offering AI in IoT solutions. It profiles the major vendors in the global AI in IoT market. These vendors include Google (US), Microsoft (US), IBM (US), AWS (US), Oracle (US), SAP (Germany), PTC (US), GE (US), Salesforce (US), Hitachi (Japan), Uptake (US), SAS (US), Autoplant Systems Pvt Ltd. (India), Kairos (US), Softweb Solutions (US), Arundo (US), C3 IoT (US), Anagog (Israel), Imagimob (Sweden), and Thingstel (India). It also includes an in-depth competitive analysis of the key players in the AI in IoT market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.
Research coverage
The report segments the global AI in IoT market by component, technology, vertical, and region. The component segment comprises platforms, software solutions, and services. It is subsegmented into device management, application management, and connectivity management. The software solutions segment has been subsegmented into real-time streaming analytics, security, data management, remote monitoring and remote configuration, network bandwidth management, and edge solutions. The services segment is subsegmented into professional and managed services. The AI in IoT market by technology is segmented into ML and deep learning, and NLP. The AI in IoT market by vertical comprises manufacturing, energy and utilities, transportation and mobility, Banking, Financial Services, and Insurance (BFSI), retail, healthcare and life sciences, government and defense, and others (agriculture, education, telecom, and tourism and hospitality). The report covers 5 major regions, namely, North America, Europe, APAC, Latin America, and Middle East and Africa (MEA).
The report would help the market leaders and new entrants in the global AI in IoT market in the following ways:
1. The report segments the market into various subsegments; hence, it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are further split across applications and regions.
2. It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.
3. It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 18
1.1 OBJECTIVES OF THE STUDY 18
1.2 MARKET DEFINITION 18
1.3 MARKET SCOPE 19
1.3.1 MARKET SEGMENTATION 19
1.3.2 REGIONS COVERED 20
1.4 YEARS CONSIDERED FOR THE STUDY 20
1.5 CURRENCY CONSIDERED 21
1.6 STAKEHOLDERS 21
2 RESEARCH METHODOLOGY 22
2.1 RESEARCH DATA 22
2.1.1 SECONDARY DATA 23
2.1.2 PRIMARY DATA 23
2.1.2.1 Breakup of primary profiles 23
2.1.2.2 Key industry insights 24
2.2 MARKET BREAKUP AND DATA TRIANGULATION 25
2.3 MARKET SIZE ESTIMATION 25
2.3.1 TOP-DOWN APPROACH 26
2.3.2 BOTTOM-UP APPROACH 26
2.4 MARKET FORECAST 27
2.5 ASSUMPTIONS FOR THE STUDY 28
2.6 LIMITATIONS OF THE STUDY 28
3 EXECUTIVE SUMMARY 29
4 PREMIUM INSIGHTS 36
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE AI IN IOT MARKET 36
4.2 AI IN IOT MARKET: TOP 3 VERTICALS 37
4.3 AI IN IOT MARKET: BY REGION 37
4.4 AI IN IOT MARKET IN NORTH AMERICA, BY COMPONENT AND TECHNOLOGY 38

5 MARKET OVERVIEW AND INDUSTRY TRENDS 39
5.1 INTRODUCTION 39
5.2 MARKET DYNAMICS 39
5.2.1 DRIVERS 40
5.2.1.1 Effective management of data generated from IoT devices to gain valuable insights 40
5.2.1.2 Reduced maintenance cost and downtime 40
5.2.2 RESTRAINTS 40
5.2.2.1 Lack of skilled workforce 40
5.2.3 OPPORTUNITIES 41
5.2.3.1 Real-time monitoring to deliver an exceptional customer experience 41
5.2.4 CHALLENGES 41
5.2.4.1 Data security and privacy issues 41
5.2.4.2 Maintenance and update issues 41
5.3 USE CASES 42
5.3.1 INTRODUCTION 42
5.3.1.1 Use case: Scenario 1 42
5.3.1.2 Use case: Scenario 2 43
5.3.1.3 Use case: Scenario 3 44
5.3.1.4 Use case: Scenario 4 44
5.3.1.5 Use case: Scenario 5 45
5.3.1.6 Use case: Scenario 6 45
5.4 REGULATORY IMPLICATIONS 46
5.4.1 INTRODUCTION 46
5.4.2 GENERAL DATA PROTECTION REGULATION 46
5.4.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 46
5.4.4 FEDERAL TRADE COMMISSION 46
5.4.5 FEDERAL COMMUNICATIONS COMMISSION 47
5.4.6 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION/INTERNATIONAL ELECTROTECHNICAL COMMISSION STANDARDS 47
5.4.6.1 ISO/ICE JTC 1 47
5.4.6.2 ISO/IEC JTC 1/SC 42 47
5.4.6.3 ISO/IEC JTC1/SC3 1 47
5.4.6.4 ISO/IEC JTC1/SC2 7 47
5.4.7 CEN/ISO 48
5.4.7.1 CEN/CENELEC 48
5.4.8 NIST 48
5.4.9 EPRIVACY 48

6 AI IN IOT MARKET, BY COMPONENT 49
6.1 INTRODUCTION 50
6.2 PLATFORMS 51
6.2.1 DEVICE MANAGEMENT 51
6.2.1.1 Growing demand for device management platform to effectively manage, track, and secure IoT devices used in organizations 51
6.2.2 APPLICATION MANAGEMENT 51
6.2.2.1 Need to automatically manage applications in the cloud to pave the way for deployment of the application management platform 51
6.2.3 CONNECTIVITY MANAGEMENT 52
6.2.3.1 Growing demand to manage the entire network of the organization for greater security and safety 52
6.3 SOFTWARE SOLUTIONS 52
6.3.1 REAL-TIME STREAMING ANALYTICS 52
6.3.1.1 Growing demand for real-time streaming analytics software solutions by organizations to effectively detect anomalies in real time 52
6.3.2 SECURITY 53
6.3.2.1 Evolution of various malware and cyber-attacks paving the way for enterprises to adopt security software solutions in the AI in IoT market 53
6.3.3 DATA MANAGEMENT 53
6.3.3.1 Growing demand for AI in IoT to effectively manage the huge amount of data generated from IoT devices 53
6.3.4 REMOTE MONITORING 54
6.3.4.1 Increasing demand to effectively monitor and manage business operations paving the way for enterprises to adopt remote monitoring software solutions in the market 54
6.3.5 NETWORK BANDWIDTH MANAGEMENT 54
6.3.5.1 Growing demand for network bandwidth management solutions for effective network monitoring and performance of the connected devices 54
6.3.6 EDGE SOLUTION 54
6.3.6.1 Increasing demand for speech to text processing, and speech recognition technology to provide growth opportunities for edge solutions 54
6.4 SERVICES 55
6.4.1 PROFESSIONAL SERVICES 55
6.4.1.1 Deployment and integration 55
6.4.1.1.1 AI in IoT vendors to offer deployment and integration services to effectively overcome system-related issues 55
6.4.1.2 Support and maintenance 55
6.4.1.2.1 Growing deployment of AI in IoT platforms to increase the demand for support and maintenance services 55
6.4.1.3 Training and consulting 56
6.4.1.3.1 Technologies involved in implementing AI in IoT solutions to boost the growth of training and consulting services 56
6.4.2 MANAGED SERVICES 56
6.4.2.1 Growing need to maintain and update AI in IoT software to increase the demand for managed services 56
7 AI IN IOT MARKET, BY TECHNOLOGY 57
7.1 INTRODUCTION 58
7.2 ML AND DEEP LEARNING 59
7.2.1 GROWING DEMAND TO AUTOMATE COMMUNICATION AND CREATE PERSONALIZED EXPERIENCES TO INCREASE THE ADOPTION OF AI IN IOT AMONG ENTERPRISES 59
7.3 NATURAL LANGUAGE PROCESSING 59
7.3.1 NATURAL LANGUAGE PROCESSING TO GROW AT A RAPID PACE IN COMING YEARS 59
8 AI IN IOT MARKET, BY VERTICAL 60
8.1 INTRODUCTION 61
8.2 MANUFACTURING 62
8.2.1 PREDICTIVE MAINTENANCE 64
8.2.1.1 Need to track, diagnose, and monitor machines to fuel the growth of the predictive maintenance application in the manufacturing vertical 64
8.2.2 PROCESS OPTIMIZATION 64
8.2.2.1 Need to automate production process to fuel the growth of the process optimization application in the manufacturing vertical 64
8.2.3 SUPPLY CHAIN MANAGEMENT 64
8.2.3.1 Growing need to optimize inventory for better customer service to pave the way for supply chain management application in the manufacturing vertical 64
8.2.4 OTHERS 65
8.3 ENERGY AND UTILITIES 65
8.3.1 SMART GRID MANAGEMENT 67
8.3.1.1 Growing demand for effective utility grid to fuel the growth of smart grid management applications in the energy and utilities vertical 67
8.3.2 POWER USAGE ANALYTICS 67
8.3.2.1 Growing demand for personalized customer experience to fuel the growth of power-usage analytics applications in the energy and utilities vertical 67
8.3.3 OTHERS 67
8.4 TRANSPORTATION AND MOBILITY 68
8.4.1 CONNECTED VEHICLES 69
8.4.1.1 Connected vehicles to grow at a rapid pace in coming years 69
8.4.2 FLEET MANAGEMENT 69
8.4.2.1 Growing need to personalize driving experience to fuel the growth of the fleet management application in the market 69
8.4.3 ASSET TRACKING AND PERFORMANCE MANAGEMENT 70
8.4.3.1 Increasing need to improve vehicles performance and minimize risks to fuel the growth of asset tracking and performance management applications in the market 70
8.4.4 OTHERS 70
8.5 BANKING, FINANCIAL SERVICES, AND INSURANCE 70
8.5.1 FRAUD AND RISK MANAGEMENT 72
8.5.1.1 Growing risk in handling huge amount of data to fuel the demand for fraud and risk management application in the market 72
8.5.2 INVESTMENT PREDICTION 72
8.5.2.1 Growing demand to predict future trends and identify market trends to drive investment prediction application segment 72
8.5.3 PAYMENT TRANSACTION SECURITY 72
8.5.3.1 Increasing demand to secure online transactions to fuel the growth of payment transaction security applications in the market 72
8.5.4 OTHERS 73
8.6 GOVERNMENT AND DEFENSE 73
8.6.1 SMART CITIES 75
8.6.1.1 Smart cities to grow at a rapid pace in the coming years 75
8.6.2 AUTONOMOUS DEFENSE SYSTEM 75
8.6.2.1 Government and defense vertical to adopt AI in IoT solutions to automate the defense system 75
8.6.3 OTHERS 75
8.7 RETAIL 76
8.7.1 SMART STORES 77
8.7.1.1 Increasing need to enhance customer experience to fuel the smart stores applications in the market 77
8.7.2 INVENTORY PLANNING 77
8.7.2.1 Increasing need to manage warehouse space to fuel the inventory planning applications in the market 77
8.7.3 UPSELL AND CROSS-CHANNEL MARKETING 77
8.7.3.1 Increasing demand for recommendation at the right time and place to fuel the growth of upsell and cross-channel marketing in the market 77
8.7.4 OTHERS 78
8.8 HEALTHCARE AND LIFE SCIENCES 78
8.8.1 REMOTE PATIENT MONITORING 79
8.8.1.1 Growing demand for monitoring patient health in real time to fuel the growth of remote patient monitoring applications in the market 79
8.8.2 PERSONALIZED TREATMENT 79
8.8.2.1 Personalized treatment to grow at a rapid pace in coming years 79
8.8.3 OTHERS 80
8.9 OTHERS 80

9 AI IN IOT MARKET, BY REGION 81
9.1 INTRODUCTION 82
9.2 NORTH AMERICA 84
9.2.1 UNITED STATES 90
9.2.1.1 Need to extract maximum value from smart devices to fuel the demand for AI in IoT solutions in the US 90
9.2.2 CANADA 91
9.2.2.1 Increase in investments and research activities to drive AI in IoT adoption in Canada 91
9.3 EUROPE 91
9.3.1 UNITED KINGDOM 97
9.3.1.1 Government focus on innovation and research to fuel the adoption of AI in IoT solutions in the UK 97
9.3.2 GERMANY 97
9.3.2.1 Skilled workforce, strong infrastructure, and increasing investments to drive the AI in IoT adoption in Germany 97
9.3.3 FRANCE 98
9.3.3.1 Focus on R&D and heavy inflow of capital from global players and investors to drive the AI in IoT market in France 98
9.3.4 REST OF EUROPE 98
9.4 ASIA PACIFIC 98
9.4.1 CHINA 105
9.4.1.1 Increasing focus on the advancement of IoT solutions by integrating ML and deep learning technologies to drive the adoption of AI in IoT solutions in China 105
9.4.2 JAPAN 105
9.4.2.1 Government initiatives, such as Society 5.0, to create the growth potential for AI in IoT in Japan 105
9.4.3 REST OF ASIA PACIFIC 106
9.5 MIDDLE EAST AND AFRICA 106
9.5.1 ISRAEL 112
9.5.1.1 Regulatory compliance backed by the presence of IoT and AI software vendors to lead the adoption of AI in IoT solutions 112
9.5.2 UAE 112
9.5.2.1 Complex legal, regulatory, and economic resolutions to compel organizations to adopt AI in IoT solutions 112
9.5.3 REST OF MIDDLE EAST AND AFRICA 113
9.6 LATIN AMERICA 113
9.6.1 BRAZIL 119
9.6.1.1 Brazil to witness the highest growth rate in the AI in IoT market in coming few years 119
9.6.2 MEXICO 119
9.6.2.1 Mexico to account for the largest market size in the AI in IoT market in the region 119
9.6.3 REST OF LATIN AMERICA 120
10 COMPETITIVE LANDSCAPE 121
10.1 COMPETITIVE LEADERSHIP MAPPING 121
10.1.1 VISIONARY LEADERS 121
10.1.2 INNOVATORS 121
10.1.3 DYNAMIC DIFFERENTIATORS 121
10.1.4 EMERGING COMPANIES 121
10.2 STRENGTH OF PRODUCT PORTFOLIO 123
10.3 BUSINESS STRATEGY EXCELLENCE 124
11 COMPANY PROFILES 125
11.1 INTRODUCTION 125
(Business Overview, Platforms & Solutions, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
11.2 IBM 126
11.3 MICROSOFT 129
11.4 GOOGLE 132
11.5 PTC 135
11.6 AWS 138
11.7 ORACLE 141
11.8 GE 144
11.9 SALESFORCE 146
11.10 SAP 148
11.11 HITACHI 151
11.12 UPTAKE 153
11.13 SAS 153
11.14 AUTOPLANT SYSTEMS INDIA PVT. LTD. 154
11.15 KAIROS 154
11.16 SOFTWEB SOLUTIONS 154
11.17 ARUNDO 155
11.18 C3 IOT 155
11.19 ANAGOG 156
11.20 THINGSTEL 156
11.21 IMAGIMOB 156
*Details on Business Overview, Platforms & Solutions, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

12 APPENDIX 157
12.1 INDUSTRY EXPERTS 157
12.2 DISCUSSION GUIDE 158
12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 165
12.4 AVAILABLE CUSTOMIZATIONS 167
12.5 RELATED REPORTS 167
12.6 AUTHOR DETAILS 168

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2016–2018 21
TABLE 2 FACTOR ANALYSIS 27
TABLE 3 GLOBAL AI IN IOT MARKET SIZE AND GROWTH RATE,
2017–2024 (USD MILLION, Y-O-Y %) 30
TABLE 4 AI IN IOT MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION) 50
TABLE 5 AI IN IOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION) 58
TABLE 6 AI IN IOT MARKET SIZE, BY VERTICAL, 2017–2024 (USD MILLION) 62
TABLE 7 MANUFACTURING MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 63
TABLE 8 ENERGY AND UTILITIES MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 66
TABLE 9 TRANSPORTATION AND MOBILITY VERTICAL MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 69
TABLE 10 BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 71
TABLE 11 GOVERNMENT AND DEFENSE VERTICAL MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 74
TABLE 12 RETAIL MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 76
TABLE 13 HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 79
TABLE 14 AI IN IOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION) 84
TABLE 15 NORTH AMERICA: DATA TRAFFIC (PETA BYTES PER MONTH) THROUGH CONNECTED DEVICES 84
TABLE 16 NORTH AMERICA: AI IN IOT MARKET SIZE, BY COMPONENT,
2017–2024 (USD MILLION) 86
TABLE 17 NORTH AMERICA: AI IN IOT MARKET SIZE, BY TECHNOLOGY,
2017–2024 (USD MILLION) 86
TABLE 18 NORTH AMERICA: AI IN IOT MARKET SIZE, BY VERTICAL,
2017–2024 (USD MILLION) 86
TABLE 19 NORTH AMERICA: MANUFACTURING MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 87
TABLE 20 NORTH AMERICA: ENERGY AND UTILITIES MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 87
TABLE 21 NORTH AMERICA: TRANSPORTATION AND MOBILITY MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 88
TABLE 22 NORTH AMERICA: GOVERNMENT AND DEFENSE MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 88
TABLE 23 NORTH AMERICA: HEALTHCARE AND LIFE SCIENCES MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 89
TABLE 24 NORTH AMERICA: BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 89
TABLE 25 NORTH AMERICA: AI IN IOT MARKET SIZE, BY RETAIL, 2017–2024 (USD MILLION) 90
TABLE 26 NORTH AMERICA: AI IN IOT MARKET SIZE, BY COUNTRY,
2017–2024 (USD MILLION) 90
TABLE 27 EUROPE: DATA TRAFFIC (PETA BYTES PER MONTH)
THROUGH CONNECTED DEVICES 91
TABLE 28 EUROPE: AI IN IOT MARKET SIZE, BY COMPONENT,
2017–2024 (USD MILLION) 92
TABLE 29 EUROPE: AI IN IOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION) 92
TABLE 30 EUROPE: AI IN IOT MARKET SIZE, BY VERTICAL, 2017–2024 (USD MILLION) 93
TABLE 31 EUROPE: MANUFACTURING MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 93
TABLE 32 EUROPE: ENERGY AND UTILITIES MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 94
TABLE 33 EUROPE: TRANSPORTATION AND MOBILITY MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 94
TABLE 34 EUROPE: GOVERNMENT AND DEFENSE MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 95
TABLE 35 EUROPE: HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 95
TABLE 36 EUROPE: BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 96
TABLE 37 EUROPE: RETAIL MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 96
TABLE 38 EUROPE: AI IN IOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION) 97
TABLE 39 APAC: DATA TRAFFIC (PETA BYTES PER MONTH) THROUGH CONNECTED DEVICES 98
TABLE 40 ASIA PACIFIC: AI IN IOT MARKET SIZE, BY COMPONENT,
2017–2024 (USD MILLION) 100
TABLE 41 ASIA PACIFIC: AI IN IOT MARKET SIZE, BY TECHNOLOGY,
2017–2024 (USD MILLION) 100
TABLE 42 ASIA PACIFIC: AI IN IOT MARKET SIZE, BY VERTICAL, 2017–2024 (USD MILLION) 101
TABLE 43 ASIA PACIFIC: MANUFACTURING MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 101
TABLE 44 ASIA PACIFIC: ENERGY AND UTILITIES MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 102
TABLE 45 ASIA PACIFIC: TRANSPORTATION AND MOBILITY MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 102
TABLE 46 ASIA PACIFIC: GOVERNMENT AND DEFENSE MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 103
TABLE 47 ASIA PACIFIC: HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 103
TABLE 48 ASIA PACIFIC: BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 104
TABLE 49 ASIA PACIFIC: RETAIL MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 104
TABLE 50 ASIA PACIFIC: AI IN IOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION) 105
TABLE 51 MIDDLE EAST AND AFRICA: DATA TRAFFIC (PETA BYTES PER MONTH) THROUGH CONNECTED DEVICES 106
TABLE 52 MIDDLE EAST AND AFRICA: AI IN IOT MARKET SIZE, BY COMPONENT,
2017–2024 (USD MILLION) 107
TABLE 53 MIDDLE EAST AND AFRICA: AI IN IOT MARKET SIZE, BY TECHNOLOGY,
2017–2024 (USD MILLION) 107
TABLE 54 MIDDLE EAST AND AFRICA: AI IN IOT MARKET SIZE, BY VERTICAL,
2017–2024 (USD MILLION) 108
TABLE 55 MIDDLE EAST AND AFRICA: MANUFACTURING MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 108
TABLE 56 MIDDLE EAST AND AFRICA: ENERGY AND UTILITIES MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 109
TABLE 57 MIDDLE EAST AND AFRICA: TRANSPORTATION AND MOBILITY MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 109
TABLE 58 MIDDLE EAST AND AFRICA: GOVERNMENT AND DEFENSE MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 110
TABLE 59 MIDDLE EAST AND AFRICA: HEALTHCARE AND LIFE SCIENCES MARKET SIZE,
BY APPLICATION, 2017–2024 (USD MILLION) 110
TABLE 60 MIDDLE EAST AND AFRICA: BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 111
TABLE 61 MIDDLE EAST AND AFRICA: RETAIL MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 111
TABLE 62 MIDDLE EAST AND AFRICA: AI IN IOT MARKET SIZE, BY COUNTRY,
2017–2024 (USD MILLION) 112
TABLE 63 LATIN AMERICA: AI IN IOT MARKET SIZE, BY COMPONENT,
2017–2024 (USD MILLION) 114
TABLE 64 LATIN AMERICA: AI IN IOT MARKET SIZE, BY TECHNOLOGY,
2017–2024 (USD MILLION) 114
TABLE 65 LATIN AMERICA: AI IN IOT MARKET SIZE, BY VERTICAL, 2017–2024 (USD MILLION) 115
TABLE 66 LATIN AMERICA: MANUFACTURING MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 115
TABLE 67 LATIN AMERICA: ENERGY AND UTILITIES MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 116
TABLE 68 LATIN AMERICA: TRANSPORTATION AND MOBILITY MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 116
TABLE 69 LATIN AMERICA: GOVERNMENT AND DEFENSE MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 117
TABLE 70 LATIN AMERICA: HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 117
TABLE 71 LATIN AMERICA: BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET SIZE, BY APPLICATION, 2017–2024 (USD MILLION) 118
TABLE 72 LATIN AMERICA: RETAIL MARKET SIZE, BY APPLICATION,
2017–2024 (USD MILLION) 118
TABLE 73 LATIN AMERICA: AI IN IOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION) 119
TABLE 74 KEY PLAYERS OF THE CONVERSATIONAL AI MARKET, 2018 124




LIST OF FIGURES

FIGURE 1 GLOBAL AI IN IOT MARKET: RESEARCH DESIGN 22
FIGURE 2 AI IN IOT MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 26
FIGURE 3 AI IN IOT MARKET SNAPSHOT, BY COMPONENT 30
FIGURE 4 AI IN IOT MARKET SNAPSHOT, BY TECHNOLOGY 31
FIGURE 5 AI IN IOT MARKET SNAPSHOT, MANUFACTURING VERTICAL 31
FIGURE 6 AI IN IOT MARKET SNAPSHOT, TRANSPORTATION AND MOBILITY VERTICAL 32
FIGURE 7 AI IN IOT MARKET SNAPSHOT, ENERGY AND UTILITIES VERTICAL 32
FIGURE 8 AI IN IOT MARKET SNAPSHOT, GOVERNMENT AND DEFENSE VERTICAL 33
FIGURE 9 AI IN IOT MARKET SNAPSHOT, BFSI VERTICAL 33
FIGURE 10 AI IN IOT MARKET SNAPSHOT, RETAIL VERTICAL 34
FIGURE 11 AI IN IOT MARKET SNAPSHOT, BY VERTICAL 34
FIGURE 12 AI IN IOT MARKET SNAPSHOT, BY REGION 35
FIGURE 13 TO EFFICIENTLY PROCESS THE VAST AMOUNT OF REAL-TIME DATA THAT STREAM FROM IOT DEVICES IS ONE OF THE MAJOR FACTORS DRIVING THE OVERALL GROWTH OF THE AI IN IOT MARKET DURING THE FORECAST PERIOD 36
FIGURE 14 TRANSPORTATION AND MOBILITY VERTICAL TO GROW AT THE HIGHEST CAGR DURING FORECAST PERIOD 37
FIGURE 15 NORTH AMERICA TO HOLD HIGHEST MARKET SHARE IN 2019 37
FIGURE 16 PLATFORMS, AND MACHINE LEARNING AND DEEP LEARNING SEGMENTS IN NORTH AMERICA ACCOUNTED FOR THE LARGEST SHARES IN THE AI IN IOT MARKET IN 2019 38
FIGURE 17 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI IN IOT MARKET 39
FIGURE 18 SOFTWARE SOLUTIONS SEGMENT TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD 50
FIGURE 19 NATURAL LANGUAGE PROCESSING SEGMENT TO WITNESS A HIGHER CAGR DURING THE FORECAST PERIOD 58
FIGURE 20 TRANSPORTATION AND MOBILITY VERTICAL TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD 61
FIGURE 21 PROCESS OPTIMIZATION SEGMENT IN THE MANUFACTURING VERTICAL TO RECORD THE HIGHEST CAGR DURING THE FORECAST PERIOD 63
FIGURE 22 SMART GRID MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 66
FIGURE 23 ASSET TRACKING AND PERFORMANCE MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 68
FIGURE 24 PAYMENT TRANSACTION SECURITY SEGMENT TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD 71
FIGURE 25 AUTONOMOUS DEFENSE SYSTEM SEGMENT TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD 74
FIGURE 26 SMART STORES SEGMENT TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD 76
FIGURE 27 PERSONALIZED TREATMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 78
FIGURE 28 NORTH AMERICA TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 82
FIGURE 29 JAPAN TO HOLD THE HIGHEST CAGR DURING THE FORECAST PERIOD 83
FIGURE 30 ASIA PACIFIC TO HOLD THE HIGHEST CAGR DURING THE FORECAST PERIOD 83
FIGURE 31 NORTH AMERICA: MARKET SNAPSHOT 85
FIGURE 32 TRANSPORTATION AND MOBILITY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 85
FIGURE 33 TRANSPORTATION AND MOBILITY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 92
FIGURE 34 ASIA PACIFIC: MARKET SNAPSHOT 99
FIGURE 35 TRANSPORTATION AND MOBILITY VERTICAL TO GROW AT THE HIGHEST CAGR IN APAC DURING THE FORECAST PERIOD 99
FIGURE 36 TRANSPORTATION AND MOBILITY VERTICAL TO GROW AT THE HIGHEST CAGR DURING FORECAST PERIOD 107
FIGURE 37 TRANSPORTATION AND MOBILITY VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 113
FIGURE 38 GLOBAL CONVERSATIONAL AI MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2018 122
FIGURE 39 IBM: COMPANY SNAPSHOT 126
FIGURE 40 SWOT ANALYSIS: IBM 128
FIGURE 41 MICROSOFT: COMPANY SNAPSHOT 129
FIGURE 42 SWOT ANALYSIS: MICROSOFT 131
FIGURE 43 GOOGLE: COMPANY SNAPSHOT 132
FIGURE 44 SWOT ANALYSIS: GOOGLE 134
FIGURE 45 PTC: COMPANY SNAPSHOT 135
FIGURE 46 SWOT ANALYSIS: PTC 137
FIGURE 47 AWS: COMPANY SNAPSHOT 138
FIGURE 48 SWOT ANALYSIS: AWS 139
FIGURE 49 ORACLE: COMPANY SNAPSHOT 141
FIGURE 50 SWOT ANALYSIS: ORACLE 143
FIGURE 51 GE: COMPANY SNAPSHOT 144
FIGURE 52 SALESFORCE: COMPANY SNAPSHOT 146
FIGURE 53 SAP: COMPANY SNAPSHOT 148
FIGURE 54 HITACHI: COMPANY SNAPSHOT 151



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[IoTにおける人工知能 (AI) の世界市場予測(~2024年)] ( AI in IoT Market by Component (Platforms, Software Solutions, and Services), Technology (ML and Deep Learning, and NLP), Vertical (Transportation and Mobility, Energy and Utilities, Manufacturing, and Retail), and Region - Global Forecast to 2024 / TC-7047) についてEメールでお問い合わせ


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