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交通・運輸の人工知能(AI)市場:機械学習毎(深層学習、コンピュータビジョン、コンテキストアウェアネス、自然言語・NLP)、用途毎(半自律・全自律、ヒューマンマシンインターフェース・HMI、かるがも走行)、製品毎(ハードウェア, ソフトウェア)、プロセス毎、地域毎 - 2030年までの世界市場予測

Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region - Global Forecast to 2030

 

出版社 出版年月電子版価格 ページ数図表数
MarketsandMarkets
マーケッツアンドマーケッツ
2017年11月US$5,650
シングルユーザライセンス
189 129

サマリー

幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)の交通・運輸の人工知能(AI)市場に関する調査レポートです。

“The rising number of accidents due to human error and increasing focus toward reducing transportation operating cost will fuel the demand for the artificial intelligence in transportation market”

The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% during the forecast period, and the market size is expected to grow from USD 1.21 billion in 2017 to USD 10.30 billion by 2030. The development of autonomous vehicles and industry-wide standards to implement safety features such as the adaptive cruise control (ACC), collision warning, lane-keep assist, and advanced driver assistance systems (ADAS) would drive the growth of the artificial intelligence in transportation market. Also, the growing demand for convenience and safety has created an opportunity for OEMs to develop new and innovative artificial intelligence systems that would attract customers. At the same time, the high cost of artificial intelligence systems and lack of infrastructure development have been major obstacles to the growth of the artificial intelligence in transportation market.

“The market for autonomous trucks is estimated to witness the fastest growth in the artificial intelligence in transportation market”

The development of autonomous trucks is considered the key focus of the artificial intelligence technology in the transportation industry. In a fully autonomous truck, the system performs all driving functions on all road types, at all speed ranges and environmental situations. While fully autonomous trucks have not yet entered the market, several companies are planning to develop them in the near future. The increasing concern for road accidents caused due to human error and a global shortage of truck drivers have accentuated the need for autonomous trucks.

“The market for deep learning technology is estimated to hold the largest share in the artificial intelligence in transportation market”

The increasing adoption of autonomous and semi-autonomous vehicles is driving the market for deep learning technology in the artificial intelligence in transportation market. Deep learning technology uses artificial neural networks to study multiple levels of data such as images, text, and sound. Deep learning technology thrives on data. In this technology, a large amount of data and experiences needs to be fed. This helps to identify and generalize the patterns experienced from the data and helps to drive safely. The autonomous vehicle needs to see, think, drive, and learn. Many companies are investing in the development of autonomous vehicles in which the deep learning technology is used for image processing, speech recognition, and data analysis. Presently, the deep learning technology is used in object detection, advanced driver assistance system (ADAS), crash avoidance, and vehicle telematics control using speech recognition and others.

“North America: The largest region in the artificial intelligence in transportation market”

North America is estimated to dominate the artificial intelligence in transportation market. Factors such as strong financial position, shortage of truck drivers, strict government regulations for road safety, and presence of leading technology firms have made North America the largest market for artificial intelligence in transportation. According to a New York Times report, the US government spent USD 4.00 billion in 2016 to accelerate the acceptance of autonomous vehicles on US roads.
The US accounts for the largest share of the North American artificial intelligence in transportation market. The demand and sales of commercial vehicles are expected to grow in the US in the future. Most of the vehicles in the US are equipped with advanced features such as adaptive cruise control, lane departure, warning systems, voice recognition system, gesture recognition, and blind spot detection. These factors would contribute to the growth of artificial intelligence in transportation market in this region during the forecast period.

BREAKDOWN OF PRIMARIES

The study contains insights provided by various industry experts, ranging from automotive OEMs to artificial intelligence technology providers. The breakdown of the primaries is as follows:

- By Company Type:  OEMs-20%, Tier-II-50%, and Tier-I-30%
- By Designation: D level-20%, C level-45%, and Others**-35%
- By Region: Asia Oceania-38%, North America-12%, Europe-25%, and RoW-25%
Note: Tier-I are hardware suppliers, Tier-II are service/solution providers 
**Others include researchers, consultants, and sales managers/marketing managers.
Company tiers are based on the value chain; revenue of the company has not been considered.

The report provides detailed profiles of the following companies:

- Continental (Germany)
- Daimler (Germany)
- Scania (Sweden)
- Paccar (US)
- MAN (Germany)
- Magna International (Canada)
- Bosch (Germany)
- Valeo (France)
- ZF Friedrichshafen (Germany)
- NVIDIA (US)
- Alphabet (US)
- Intel (US)
- Microsoft (US)
- Peloton Technology (US)
- Nauto (US)
- Xevo (US)
- Zonar Systems (US)

Research Coverage:

The report provides a picture of the artificial intelligence in transportation market across different verticals and regions. It aims at estimating the market size and future growth potential of the artificial intelligence in transportation market, by application, offering, machine learning technology, process, region, and truck platooning market for artificial intelligence. Furthermore, the report also includes an in-depth competitive analysis of the key players in the market along with their company profiles, competitive landscape, recent developments, and key market strategies.

Reasons to Buy the Report:

The report provides insights into the following points:

- Market Penetration: The report provides comprehensive information on artificial intelligence technologies offered by the top players in the industry.
- Market Development: The report provides comprehensive information on various artificial intelligence technology trends. The report analyzes the markets for various artificial intelligence in transportation technologies across the countries.
- Market Diversification: The report provides exhaustive information about emerging technologies, recent developments, and investments in the global artificial intelligence in transportation market.
- Competitive Landscape: The report offers an in-depth assessment of recent developments of the supply chain players which include OEMs, software/solution providers, Tier-1 companies, and startups.



目次

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 MARKET SCOPE 18
1.3.1 YEARS CONSIDERED IN THE STUDY 19
1.4 CURRENCY 19
1.5 PACKAGE SIZE 20
1.6 LIMITATIONS 20
1.7 STAKEHOLDERS 20

2 RESEARCH METHODOLOGY 21
2.1 RESEARCH DATA 21
2.2 SECONDARY DATA 23
2.2.1 KEY SECONDARY SOURCES 23
2.2.2 KEY DATA FROM SECONDARY SOURCES 24
2.3 PRIMARY DATA 25
2.3.1 SAMPLING TECHNIQUES & DATA COLLECTION METHODS 25
2.3.2 PRIMARY PARTICIPANTS 26
2.4 FACTOR ANALYSIS 26
2.4.1 DEMAND-SIDE ANALYSIS 26
2.4.1.1 Traffic control and reduced congestion 27
2.4.1.2 Increasing number of ADAS features in trucks with the increasing level of automation 28
2.4.2 SUPPLY-SIDE ANALYSIS 29
2.4.2.1 Technological development - sensor fusion 29
2.4.2.2 Highway autopilot 30
2.5 MARKET SIZE ESTIMATION 31
2.5.1 TOP-DOWN APPROACH 31
2.5.2 MARKET BREAKDOWN AND DATA TRIANGULATION 32
2.5.3 ASSUMPTIONS 33

3 EXECUTIVE SUMMARY 34
-
4 PREMIUM INSIGHTS 42
4.1 ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET 42
4.2 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION 43
4.3 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING 44
4.4 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY 45
4.5 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS 46
4.6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION 46
4.7 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION 47

5 MARKET OVERVIEW 48
5.1 INTRODUCTION 48
5.2 MARKET DYNAMICS 49
5.2.1 DRIVERS 49
5.2.1.1 Safety and security 49
5.2.1.2 Operating cost efficiency 51
5.2.2 RESTRAINTS 52
5.2.2.1 High cost of artificial intelligence systems 52
5.2.2.2 Infrastructure cost 52
5.2.3 OPPORTUNITIES 53
5.2.3.1 Truck platooning 53
5.2.3.2 Increasing level of autonomy (Self-driving trucks) 54
5.2.4 CHALLENGES 55
5.2.4.1 Machine learning is data driven (public acceptance) 55
5.2.4.2 Cybersecurity and data privacy 57

6 TECHNOLOGICAL OVERVIEW 58
6.1 INTRODUCTION 58
6.2 CURRENT USE CASES IN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET 59
6.2.1 HUMAN-MACHINE INTERFACE 60
6.2.2 PREDICTIVE MAINTENANCE 60
6.2.3 AUTONOMOUS TRUCK 60
6.2.4 TRUCK PLATOONING 61
6.2.5 ADVANCED DRIVER ASSISTANCE SYSTEM 62
6.2.6 PRECISION AND MAPPING 63
-
7 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY 64
[Note: The Chapter is Further Segmented By Offering (Hardware & Software), Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks), and Region (Asia Oceania. Europe, North America, and RoW)]
7.1 INTRODUCTION 65
7.2 COMPUTER VISION 66
7.2.1 BY OFFERING 67
7.2.2 BY APPLICATION 67
7.2.3 BY REGION 68
7.3 CONTEXT AWARENESS 68
7.3.1 BY OFFERING 69
7.3.2 BY APPLICATION 69
7.3.3 BY REGION 70
7.4 DEEP LEARNING 70
7.4.1 BY OFFERING 71
7.4.2 BY APPLICATION 71
7.4.3 BY REGION 72
7.5 NATURAL LANGUAGE PROCESSING 72
7.5.1 BY OFFERING 73
7.5.2 BY REGION 73

8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS 74
[Note: The Chapter is Further Segmented By Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks), and Region (Asia Oceania. Europe, North America, and RoW)]
8.1 INTRODUCTION 75
8.2 DATA MINING 76
8.2.1 BY APPLICATION 77
8.2.2 BY REGION 77
8.3 IMAGE RECOGNITION 78
8.3.1 BY APPLICATION 78
8.3.2 BY REGION 79
8.4 SIGNAL RECOGNITION 79
8.4.1 BY APPLICATION 80
8.4.2 BY REGION 80
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9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION 81
[Note: The Chapter is Further Segmented By Process (Data Mining, Image Recognition, and Signal Recognition), Machine Learning Technology (Computer Vision, Context Awareness, Deep Learning, and Natural Language Processing) and Region (Asia Oceania. Europe, North America, and RoW)]
9.1 INTRODUCTION 82
9.2 AUTONOMOUS TRUCKS 83
9.2.1 BY PROCESS 84
9.2.2 BY MACHINE LEARNING TECHNOLOGY 84
9.2.3 BY REGION 85
9.3 HMI IN TRUCKS 85
9.3.1 BY PROCESS 86
9.3.2 BY MACHINE LEARNING TECHNOLOGY 86
9.3.3 BY REGION 87
9.4 SEMI-AUTONOMOUS TRUCKS 87
9.4.1 BY PROCESS 88
9.4.2 BY MACHINE LEARNING TECHNOLOGY 88
9.4.3 BY REGION 89

10 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION 90
[Note: The Chapter is Further Segmented By Offering (Hardware & Software), Region (Asia Oceania. Europe, North America, and RoW)]
10.1 INTRODUCTION 91
10.1.1 BY OFFERING 92
10.1.2 BY REGION 93
10.1.2.1 Asia Oceania 94
10.1.2.2 Europe 95
10.1.2.3 North America 95
10.1.2.4 Rest of the World 96

11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING 97
[Note: The Chapter is Further Segmented By Computing Type (Hardware (Neuromorphic architecture & von Neumann architecture) and Software(Platform & Solutions)), Machine Learning Technology (Computer Vision, Context Awareness, Deep Learning, and Natural Language Processing), and Region (Asia Oceania. Europe, North America, and RoW)]
11.1 INTRODUCTION 98
11.2 HARDWARE 99
11.2.1 BY COMPUTING TYPE 99
11.2.2 BY MACHINE LEARNING TECHNOLOGY 101
11.2.3 BY REGION 102
11.3 SOFTWARE 102
11.3.1 BY COMPUTING TYPE 102
11.3.2 BY MACHINE LEARNING TECHNOLOGY 104
11.3.3 BY REGION 104

12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION 105
[Note: The Chapter is Further Segmented By Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks)
12.1 INTRODUCTION 106
12.2 ASIA OCEANIA 108
12.2.1 CHINA 111
12.2.2 INDIA 111
12.2.3 JAPAN 112
12.2.4 SOUTH KOREA 112
12.2.5 REST OF ASIA OCEANIA 113
12.3 EUROPE 113
12.3.1 FRANCE 115
12.3.2 GERMANY 115
12.3.3 UK 116
12.3.4 REST OF EUROPE 116
12.4 NORTH AMERICA 117
12.4.1 CANADA 120
12.4.2 MEXICO 120
12.4.3 US 121
12.5 REST OF THE WORLD 121
12.5.1 BRAZIL 123
12.5.2 RUSSIA 123
12.5.3 ROW OTHERS 124

13 COMPETITIVE LANDSCAPE 125
13.1 INTRODUCTION 125
13.2 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION: MARKET RANKING ANALYSIS 125
13.2.1 MARKET RANKING ANALYSIS OF OEMS 125
13.2.2 MARKET RANKING ANALYSIS OF TIER-I SUPPLIERS 126
13.2.3 MARKET RANKING ANALYSIS OF SOFTWARE/SERVICE PROVIDERS 126
13.3 COMPETITIVE SITUATION & TRENDS 127
13.3.1 COMPETITIVE SITUATION & TRENDS: SUPPLY CONTRACTS/ PARTNERSHIPS/JOINT VENTURES WAS THE MOST WIDELY ADOPTED STRATEGY 127
13.3.2 SUPPLY CONTRACTS/PARTNERSHIPS/JOINT VENTURES 127
13.3.3 NEW PRODUCT DEVELOPMENTS 128
13.3.4 EXPANSIONS 129
13.3.5 MERGERS & ACQUISITIONS 130
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14 COMPANY PROFILES 131
(Overview, Services offered, Strength of service portfolio, Business strategy excellence, Recent developments)*
14.1 ORIGINAL EQUIPMENT MANUFACTURERS (OEMS) 131
14.1.1 VOLVO 131
14.1.2 DAIMLER 134
14.1.3 SCANIA 137
14.1.4 PACCAR 140
14.1.5 MAN 143
14.2 TIER-I SUPPLIERS 146
14.2.1 CONTINENTAL 146
14.2.2 MAGNA 150
14.2.3 BOSCH 153
14.2.4 VALEO 157
14.2.5 ZF 160
14.3 SOFTWARE SUPPLIERS 164
14.3.1 NVIDIA 164
14.3.2 ALPHABET 167
14.3.3 INTEL 170
14.3.4 MICROSOFT 173
14.4 START-UP’S 176
14.4.1 PELOTON 176
14.4.1.1 Funding Details 176
14.4.2 NAUTO 177
14.4.2.1 Funding Details 177
14.4.3 XEVO 178
14.4.3.1 Funding Details 178
14.4.4 ZONAR 178
14.4.4.1 Funding Details 178
*Details on Overview, Services offered, Strength of service portfolio, Business strategy excellence, Recent developments might not be captured in case of unlisted companies.
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15 APPENDIX 179
15.1 INSIGHTS OF INDUSTRY EXPERTS 179
15.2 DISCUSSION GUIDE 180
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 183
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 185
15.5 AVAILABLE CUSTOMIZATIONS 185
15.5.1 ARTIFICIAL INTELLIGENCE MARKET IN BUSES, BY APPLICATION 185
15.5.1.1 Semi-Autonomous Buses 185
15.5.1.2 Autonomous Buses 185
15.5.1.3 HMI in Buses 185
15.5.2 ARTIFICIAL INTELLIGENCE MARKET IN BUSES, BY REGION 185
15.5.2.1 Asia Oceania 185
15.5.2.2 Europe 185
15.5.2.3 North America 185
15.5.2.4 RoW 185
15.5.3 ARTIFICIAL INTELLIGENCE MARKET IN FLEETS, BY REGION 185
15.5.3.1 Asia Oceania 185
15.5.3.2 Europe 185
15.5.3.3 North America 185
15.5.3.4 RoW 185
15.6 RELATED REPORTS 186
15.7 AUTHOR DETAILS 187

 

LIST OF TABLES

TABLE 1 CURRENCY EXCHANGE RATES (W.R.T. USD) 19
TABLE 2 WORLD’S MOST CONGESTED COUNTRIES, 2016 27
TABLE 3 US DEPARTMENT OF TRANSPORTATION'S FATALITY ANALYSIS REPORTING SYSTEM (FARS). 50
TABLE 4 HOURS OF SERVICE REGULATIONS 51
TABLE 5 KEY PLAYERS IN THE GLOBAL TRUCK PLATOONING MARKET 54
TABLE 6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2016-2030 (USD MILLION) 66
TABLE 7 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY OFFERING, 2016-2030 (USD MILLION) 67
TABLE 8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY APPLICATION, 2016-2030 (USD MILLION) 67
TABLE 9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY REGION, 2016-2030 (USD MILLION) 68
TABLE 10 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY OFFERING, 2016-2030 (USD MILLION) 69
TABLE 11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY REGION, 2016-2030 (USD MILLION) 69
TABLE 12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY REGION, 2016-2030 (USD MILLION) 70
TABLE 13 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING,
BY OFFERING, 2016-2030 (USD MILLION) 71
TABLE 14 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING,
BY APPLICATION, 2016-2030 (USD MILLION) 71
TABLE 15 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING,
BY REGION, 2016-2030 (USD MILLION) 72
TABLE 16 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR NATURAL LANGUAGE PROCESSING, BY OFFERING, 2016-2030 (USD MILLION) 73
TABLE 17 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2016-2030 (USD MILLION) 73
TABLE 18 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS,
2016-2030 (USD MILLION) 76
TABLE 19 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DATA MINING,
BY REGION, 2016-2030 (USD MILLION) 77
TABLE 20 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DATA MINING,
BY REGION, 2016-2030 (USD MILLION) 77
TABLE 21 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR IMAGE RECOGNITION, BY APPLICATION, 2016-2030 (USD MILLION) 78
TABLE 22 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR IMAGE RECOGNITION, BY REGION, 2016-2030 (USD MILLION) 79
TABLE 23 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SIGNAL RECOGNITION, BY APPLICATION, 2016-2030 (USD MILLION) 80
TABLE 24 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SIGNAL RECOGNITION, BY REGION, 2016-2030 (USD MILLION) 80
TABLE 25 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION,
2016-2030 (USD MILLION) 83
TABLE 26 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY PROCESS, 2016-2030 (USD MILLION) 84
TABLE 27 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016-2030 (USD MILLION) 84
TABLE 28 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY REGION, 2016-2030 (USD MILLION) 85
TABLE 29 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS,
BY OFFERING, 2016-2030 (USD MILLION) 86
TABLE 30 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS,
BY MACHINE LEARNING TECHNOLOGY, 2016-2030 (USD MILLION) 86
TABLE 31 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS,
BY REGION, 2016-2030 (USD MILLION) 87
TABLE 32 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY PROCESS, 2016-2030 (USD MILLION) 88
TABLE 33 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016-2030 (USD MILLION) 88
TABLE 34 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY REGION, 2016-2030 (USD MILLION) 89
TABLE 35 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016-2030 (USD MILLION) 93
TABLE 36 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION,
2016-2030 (‘000 UNITS) 93
TABLE 37 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION,
2016-2030 (USD MILLION) 94
TABLE 38 ASIA OCEANIA: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE,
BY OFFERING, 2016-2030 (USD MILLION) 94
TABLE 39 EUROPE: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016-2030 (USD MILLION) 95
TABLE 40 NORTH AMERICA: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE,
BY OFFERING, 2016-2030 (USD MILLION) 95
TABLE 41 REST OF THE WORLD: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016-2030 (USD MILLION) 96
TABLE 42 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING,
2016-2030 (USD MILLION) 99
TABLE 43 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE,
BY COMPUTING TYPE, 2016-2030 (USD MILLION) 101
TABLE 44 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE,
BY MACHINE LEARNING TECHNOLOGY, 2016-2030 (USD MILLION) 101
TABLE 45 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE,
BY REGION, 2016-2030 (USD MILLION) 102
TABLE 46 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE,
BY COMPUTING TYPE, 2016-2030 (USD MILLION) 103
TABLE 47 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE,
BY MACHINE LEARNING TECHNOLOGY, 2016-2030 (USD MILLION) 104
TABLE 48 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE,
BY REGION, 2016-2030 (USD MILLION) 104
TABLE 49 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION,
2016-2030 (USD MILLION) 107
TABLE 50 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY COUNTRY, 2016-2030 (USD MILLION) 110
TABLE 51 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 110
TABLE 52 CHINA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016-2030 (USD MILLION) 111
TABLE 53 INDIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016-2030 (USD MILLION) 111
TABLE 54 JAPAN: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016-2030 (USD MILLION) 112
TABLE 55 SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 112
TABLE 56 REST OF ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016-2030 (USD MILLION) 113
TABLE 57 EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY COUNTRY, 2016-2030 (USD MILLION) 114
TABLE 58 EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 114
TABLE 59 FRANCE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 115
TABLE 60 GERMANY: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 115
TABLE 61 UK: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016-2030 (USD MILLION) 116
TABLE 62 REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 116
TABLE 63 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY COUNTRY, 2016-2030 (USD MILLION) 119
TABLE 64 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 119
TABLE 65 CANADA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 120
TABLE 66 MEXICO: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016-2030 (USD MILLION) 120
TABLE 67 US: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016-2030 (USD MILLION) 121
TABLE 68 REST OF THE WORLD: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY COUNTRY, 2016-2030 (USD MILLION) 122
TABLE 69 REST OF THE WORLD: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 122
TABLE 70 BRAZIL: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 123
TABLE 71 RUSSIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 123
TABLE 72 ROW OTHERS: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET,
BY APPLICATION, 2016-2030 (USD MILLION) 124
TABLE 73 SUPPLY CONTRACTS/PARTNERSHIPS/JOINT VENTURES, 2017 127
TABLE 74 NEW PRODUCT DEVELOPMENTS, 2017 128
TABLE 75 EXPANSIONS, 2016-2017 129
TABLE 76 MERGERS & ACQUISITIONS, 2016-2017 130

 

LIST OF FIGURES

FIGURE 1 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: RESEARCH DESIGN 21
FIGURE 2 RESEARCH DESIGN MODEL 22
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS 25
FIGURE 4 LEVEL OF AUTOMATION WITH ADDITION OF ADAS FEATURES 29
FIGURE 5 SENSOR FUSION 30
FIGURE 6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION: TOP-DOWN APPROACH 31
FIGURE 7 DATA TRIANGULATION 32
FIGURE 8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION,
2017 VS 2030 (USD MILLION) 35
FIGURE 9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION,
2017 VS 2030 (USD MILLION) 36
FIGURE 10 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET GROWTH, BY COUNTRY, 2017-2030 (USD MILLION) 37
FIGURE 11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2017 VS 2030 (USD MILLION) 38
FIGURE 12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING,
2016 - 2030 (USD MILLION) 39
FIGURE 13 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS,
2017 VS 2022 (USD MILLION) 40
FIGURE 14 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION,
2019 VS 2030 (USD MILLION) 41
FIGURE 15 INCREASING FOCUS TOWARD SAFETY, SECURITY, & OPERATING COST EFFICIENCY TO DRIVE THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET DURING THE FORECAST PERIOD 42
FIGURE 16 NORTH AMERICA TO HOLD THE LARGEST SHARE IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2017 VS 2030 (USD MILLION) 43
FIGURE 17 SOFTWARE SEGMENT TO HOLD THE LARGEST MARKET SIZE IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION, 2016-2030 (USD MILLION) 44
FIGURE 18 DEEP LEARNING TECHNOLOGY TO LEAD IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2017 VS 2030 (USD MILLION) 45
FIGURE 19 SIGNAL RECOGNITION PROCESS TO LEAD THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2016-2030 (USD MILLION) 46
FIGURE 20 SEMI-AUTONOMOUS TRUCKS TO HAVE THE LARGEST SHARE IN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2025 VS 2030 (USD MILLION) 46
FIGURE 21 NORTH AMERICA REGION TO HAVE THE LARGEST MARKET SIZE IN THE TRUCK PLATOONING FOR ARTIFICIAL INTELLIGENCE MARKET, 2019-2030 (USD MILLION) 47
FIGURE 22 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: MARKET DYNAMICS 49
FIGURE 23 ADOPTION TREND OF AUTONOMOUS VEHICLES 52
FIGURE 24 TRUCK PLATOONING: YEARLY CO2 REDUCTION, 2020-2035 53
FIGURE 25 LEVEL OF AUTOMATION 55
FIGURE 26 ARTIFICIAL INTELLIGENCE (AI) ADOPTION 56
FIGURE 27 ARTIFICIAL INTELLIGENCE ENABLED TRANSPORTATION 59
FIGURE 28 ROLE OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION INDUSTRY 59
FIGURE 29 SAE & NHTSA VEHICLE AUTOMATION LEVELS 62
FIGURE 30 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2017 VS 2030 65
FIGURE 31 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS,
2017 VS 2030 (USD MILLION) 75
FIGURE 32 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION,
2017 VS 2030 82
FIGURE 33 NORTH AMERICA IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN THE TRUCK PLATOONING MARKET DURING THE FORECAST PERIOD, (USD MILLION) 92
FIGURE 34 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING,
2017 VS 2030 98
FIGURE 35 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE,
BY COMPUTING TYPE, 2017 VS 2030 100
FIGURE 36 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE,
BY COMPUTING TYPE, 2017 VS 2030 103
FIGURE 37 REGION-WISE SNAPSHOT OF THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: NORTH AMERICA ACCOUNTS FOR THE LARGEST MARKET SHARE,
2017 VS 2030 107
FIGURE 38 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION
MARKET SNAPSHOT 109
FIGURE 39 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION
MARKET SNAPSHOT 118
FIGURE 40 VOLVO: COMPANY SNAPSHOT 131
FIGURE 41 DAIMLER: COMPANY SNAPSHOT 134
FIGURE 42 SCANIA: COMPANY SNAPSHOT 137
FIGURE 43 PACCAR: COMPANY SNAPSHOT 140
FIGURE 44 MAN: COMPANY SNAPSHOT 143
FIGURE 45 CONTINENTAL: COMPANY SNAPSHOT 146
FIGURE 46 MAGNA: COMPANY SNAPSHOT 150
FIGURE 47 BOSCH: COMPANY SNAPSHOT 153
FIGURE 48 VALEO: COMPANY SNAPSHOT 157
FIGURE 49 ZF: COMPANY SNAPSHOT 160
FIGURE 50 NVIDIA: COMPANY SNAPSHOT 164
FIGURE 51 ALPHABET: COMPANY SNAPSHOT 167
FIGURE 52 INTEL: COMPANY SNAPSHOT 170
FIGURE 53 MICROSOFT: COMPANY SNAPSHOT 173

 

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プレスリリース

[プレスリリース原文]

Artificial Intelligence in Transportation Market worth 10.30 Billion USD by 2030


November 15, 2017

The report "Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region - Global Forecast to 2030", Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region - Global Forecast to 2030", The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% during the forecast period, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030.

The emergence of autonomous trucks and industry-wide standards such as adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) would trigger the growth of the artificial intelligence in transportation market. The growing demand for safety and security has created an opportunity for OEMs to develop new and innovative artificial intelligence systems that would attract customers.

Software segment is estimated to hold the largest share of the artificial intelligence in transportation market.

The software segment is estimated to hold the largest market share of the artificial intelligence in transportation market in 2017. In recent years, major developments have occurred in AI software solutions, platforms, and related software development kits. These developments have taken place due to the need for advancement in the areas of object perception, machine translation, and object recognition. Companies such as Alphabet (US), Microsoft (US), IBM (US), and Intel (US) are among the frontrunners in the development of AI software. All these companies are acquiring or investing heavily in start-ups to maintain a strong position in the artificial intelligence in transportation market. In March 2017, Intel (US) acquired Mobileye (Israel) for approximately USD 15 billion. Software for deep learning technology has a major share in the AI in transportation market. Therefore, the need for advancement in autonomous trucks has led to a large amount of funding for various start-ups in the North American region.

Data mining process is estimated to be the fastest growing segment of the artificial intelligence in transportation market.

The data mining segment is projected to grow at the highest rate during the forecast period from 2017 to 2030. A huge amount of data, collected from different sensors used in semi-autonomous or autonomous trucks, can be used to train the trucks to detect or recognize images, obstacles, and various scenarios one might encounter behind the wheel. Autonomous trucks have a potential of collecting more data from the outside environment and, hence, data mining will be of great importance in autonomous trucks. The North American region is estimated to have the largest market for data mining as the trucking industry has a huge influence on its economy. Similarly, the growing demand for predictive maintenance in transportation industry would boost the growth of the data mining process in the near future.

North America is estimated to be the leading market for artificial intelligence in transportation.

Transportation plays a significant role in the North American economy. According to American Trucker Association, there are 8.7 million truck-related jobs in the US, and the country still faces a shortage of truck drivers. Hence, major developments related to autonomous driving of trucks are taking place in this country. Additionally, incentives and high level of funding from the government plays a major role in the development of this technology. For instance, in 2016, the US government spent USD 4.00 billion to accelerate the acceptance of autonomous vehicles on US roads. Also, the Central North American Trade Corridor Association is planning to develop a driverless truck corridor from Mexico to Manitoba. Also, the region is home to leading technology companies such as Microsoft (US), Intel (US), and NVIDIA (US), which offer various AI technologies for vehicles in partnership with OEMs. Therefore, the North American region has a great potential for the growth of the artificial intelligence in transportation market.

The key software & Tier- I suppliers profiled in the report include Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US). These systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), Scania (Sweden), and others.

 

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