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自動車用人工知能(AI)市場:ハードウェア・ソフトウェア毎、技術毎(深層学習、機械学習、コンピュータビジョン、コンテキストアウェアネス、自然言語処理)、プロセス毎、用途毎、地域毎 - 2025年までの世界市場予測

Automotive Artificial Intelligence Market by Offering (Hardware, Software), Technology (Deep Learning, Machine Learning, Computer Vision, Context Awareness and Natural Language Processing), Process, Application and Region - Global Forecast to 2025

 

出版社 出版年月電子媒体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8月US$5,650
シングルユーザライセンス
205 132

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)の自動車用人工知能(AI)市場に関する調査レポートです。

“Automotive artificial intelligence (AI) market is expected to grow at a CAGR of 38.46% between 2017 and 2025”

The automotive AI market is expected to be valued at USD 782.9 million in 2017 and is expected to reach USD 10,573.3 million by 2025, at a CAGR of 38.46% between 2017 and 2025. The automotive AI market is expected to exhibit a significant growth between 2017 and 2025. The emergence of autonomous vehicle and industry-wide standards such as the adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) would trigger the growth of the automotive AI market. However, the growing demand for convenience and safety presents an opportunity for OEMs to develop new and innovative artificial intelligence systems that would attract customers.

“Signal Recognition is expected to hold the largest market share in 2017”

Signal recognition is a method of generating result with the help of speech, visible patterns, and sound. The signals generally refer to the voice or the sound produced by machine or human being, which can be detected by natural language processing (NLP) machines to generate a result. Signal recognition is an important part of HMI, autonomous, and semi-autonomous driving applications as it can be used for traffic sign detection, driver assistance system, and several other uses. These factors make signal recognition the largest market, by process, in the automotive AI market.

“Market for autonomous driving application is expected to grow at the highest rate between 2017 and 2025”

Autonomous vehicle is the main target of the AI technology in the automobile industry. In full self-driving vehicles, the system performs all driving functions on all road types, at all speed ranges and environmental situations. While fully autonomous cars have not yet entered the market, but several companies are committing to their development in the near future. Some companies have begun testing of autonomous cars on city roads as well, with Google’s Waymo leading with almost 3 million self-driven miles on city streets.

“Automotive AI market in APAC is expected to grow at the highest rate between 2017 and 2025”

APAC houses some of the established automakers such as Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan). Countries in APAC, such as South Korea and Japan, have strong technological capabilities. The region, therefore, represents a balanced blend of demand and technology, making it an ideal investment for any OEM.

North America is expected to be the major contributor to the automotive AI market in 2017. The growth will likely be driven by two key factors: rapid development of autonomous vehicle technology and the strict government regulation for road safety. For instance, in 2016, the US government has spent USD 4 billion to accelerate the acceptance of autonomous vehicles on US roads. The automotive industry in the US is a highly advanced industry, with the “big three”-Ford Motor Company, General Motors, and Fiat-Chrysler Automotive-continuously upgrading their product portfolios.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews have been conducted with people holding key positions across several regions. The breakup of the profile of primary participants has been given below.

- By Company Type: Tier 1-30 %, Tier 2-45%, and Tier 3-25%
- By Designation: C-Level Executives-35%, Manager Level-40%, and Others (Sales, Marketing, and Product Managers)-25%
- By Region: North America-30%, Europe-45%, APAC-20%, and RoW-5%

The companies covered in the automotive AI market are NVIDIA Corporation (US), Alphabet Inc. (US), Intel Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), and Didi Chuxing (China). Some important start-ups from the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), and drive.ai (US).

Research Coverage

The automotive AI market has been segmented on the basis of offering, technology, process, application, and region. The market, on the basis of offering, has been segmented into hardware and software. On the basis of technology, the market has been segmented into deep learning, machine learning, context awareness, computer vision, and natural language processing. On the basis of process, the market is segmented into signal recognition, image recognition, and data mining. The market, on the basis of application, has been segmented into human-machine interface, semi-autonomous driving, and autonomous driving.

Reasons to buy the report:

The report would help the market leaders/new entrants in this market in the following ways:

1. This report segments the automotive AI market comprehensively and provides the closest approximation of the size of the overall market and its sub-segments for various applications across different regions.
2. The report helps stakeholders understand the pulse of the market and provides them with the information on key market drivers, restraints, challenges, and opportunities pertaining to the market.



目次

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 STUDY SCOPE 18
1.3.1 MARKETS COVERED 18
1.3.2 YEARS CONSIDERED FOR THIS STUDY 18
1.4 CURRENCY 19
1.5 STAKEHOLDERS 19

2 RESEARCH METHODOLOGY 20
2.1 RESEARCH DATA 20
2.1.1 SECONDARY DATA 21
2.1.1.1 Secondary sources 21
2.1.2 PRIMARY DATA 22
2.1.2.1 Primary sources 22
2.1.2.2 Key industry insights 23
2.1.2.3 Breakdown of primaries 23
2.2 DEMAND- AND SUPPLY-SIDE ANALYSIS OF AUTOMOTIVE AI MARKET 24
2.2.1 INTRODUCTION 24
2.2.2 DEMAND SIDE ANALYSIS 24
2.2.2.1 Growth in luxury vehicle sales 24
2.2.2.2 Increasing traffic congestions due to rising urbanization around the globe 25
2.2.3 SUPPLY SIDE ANALYSIS 26
2.2.3.1 Rising demand for safety, convenience, and comfort applications in vehicle 26
2.3 MARKET SIZE ESTIMATION 27
2.3.1 BOTTOM-UP APPROACH 28
2.3.2 TOP-DOWN APPROACH 29
2.4 MARKET BREAKDOWN & DATA TRIANGULATION 30
2.5 RESEARCH ASSUMPTIONS 31

3 EXECUTIVE SUMMARY 32

4 PREMIUM INSIGHTS 38
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE AUTOMOTIVE AI MARKET 38
4.2 AUTOMOTIVE AI MARKET, BY OFFERING, 2017-2025 (USD BILLION) 38
4.3 AUTOMOTIVE AI MARKET, BY TECHNOLOGY 39
4.4 SNAPSHOT OF THE AUTOMOTIVE AI MARKET BASED ON APPLICATION AND REGION 39
4.5 AUTOMOTIVE AI MARKET, BY REGION 40

5 MARKET OVERVIEW 41
5.1 INTRODUCTION 42
5.2 MARKET DYNAMICS 42
5.2.1 DRIVERS 43
5.2.1.1 Increasing government regulations for vehicle safety and the growing adoption of ADAS technology by OEMs 43
5.2.1.2 Rising demand for enhanced user experience and convenience features 45
5.2.1.3 Rising trend of autonomous vehicles 45
5.2.2 RESTRAINTS 47
5.2.2.1 Increase in the overall cost of a vehicle 47
5.2.2.2 Threat to cyber security of vehicles 48
5.2.3 OPPORTUNITIES 48
5.2.3.1 Increasing demand for premium segment vehicles 48
5.2.3.2 Sensor fusion 49
5.2.4 CHALLENGES 50
5.2.4.1 Maintaining the balance between cost and quality 50

6 TECHNOLOGICAL OVERVIEW OF AUTOMOTIVE AI MARKET 51
6.1 INTRODUCTION 51
6.2 CURRENT USE CASES IN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET 52
6.2.1 HUMAN-MACHINE INTERFACE 53
6.2.2 PREDICTIVE MAINTENANCE 53
6.2.3 AUTONOMOUS VEHICLE 54
6.2.4 ADVANCED DRIVER ASSISTANCE SYSTEM 54
6.2.5 PRECISION AND MAPPING 55
6.2.6 OTHERS 55

7 AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 56
7.1 INTRODUCTION 57
7.2 HARDWARE 58
7.2.1 VON NEUMANN ARCHITECTURE 58
7.2.2 NEUROMORPHIC ARCHITECTURE 59
7.3 SOFTWARE 61
7.3.1 SOLUTIONS 61
7.3.2 PLATFORMS 62

8 AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 64
8.1 INTRODUCTION 65
8.2 DEEP LEARNING 66
8.3 MACHINE LEARNING 69
8.4 COMPUTER VISION 71
8.5 CONTEXT AWARENESS 73
8.6 NATURAL LANGUAGE PROCESSING 76

9 AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY PROCESS 78
9.1 INTRODUCTION 79
9.2 SIGNAL RECOGNITION 80
9.3 IMAGE RECOGNITION 82
9.4 DATA MINING 84

10 AUTOMOTIVE AI MARKET, BY APPLICATION 86
10.1 INTRODUCTION 87
10.2 HUMAN-MACHINE INTERFACE 88
10.3 SEMI-AUTONOMOUS DRIVING 91
10.4 AUTONOMOUS VEHICLE 93

11 GEOGRAPHIC ANALYSIS 96
11.1 INTRODUCTION 97
11.2 NORTH AMERICA 98
11.2.1 US 102
11.2.2 CANADA 102
11.2.3 MEXICO 102
11.3 EUROPE 103
11.3.1 GERMANY 107
11.3.2 FRANCE 107
11.3.3 UK 108
11.3.4 REST OF EUROPE 108
11.4 ASIA PACIFIC 109
11.4.1 CHINA 113
11.4.2 JAPAN 113
11.4.3 SOUTH KOREA 114
11.4.4 REST OF APAC 114
11.5 REST OF THE WORLD 114
11.5.1 SOUTH AMERICA 116
11.5.2 MIDDLE EAST AND AFRICA 116

12 COMPETITIVE LANDSCAPE 117
12.1 OVERVIEW 117
12.2 MARKET RANKING ANALYSIS 118
12.3 COMPETITIVE LEADERSHIP MAPPING 119
12.3.1 VISIONARY LEADERS 119
12.3.2 DYNAMIC DIFFERENTIATORS 119
12.3.3 INNOVATORS 119
12.3.4 EMERGING COMPANIES 119
12.4 COMPETITIVE BENCHMARKING 121
12.4.1 BUSINESS STRATEGY EXCELLENCE (25 COMPANIES) 121
12.4.2 STRENGTH OF PRODUCT PORTFOLIO (25 COMPANIES) 122
*25 Companies analyzed across this ecosystem are - NVIDIA (US), IBM (US), Intel (US), Microsoft (US), Alphabet (US), Baidu (China), AImotive (Hungary), Nauto (US), nuTonomy (US), Zoox (US), drive.ai (US), Nuro (US), BRAIQ (US), Graphcore (UK), NeuroControls (South Korea), FiveAI (UK), General Vision (US), BrainChip (US), Nuance Communications (US), Argo AI (US), Xilinx (US), Harman International Industries (US), Qualcomm (US), ARM Holdings (UK), Advanced Micro Devices (US)

13 COMPANY PROFILES 123
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments, MNM View, Key Relationships)*
13.1 NVIDIA CORPORATION 123
13.2 ALPHABET INC. 127
13.3 INTEL CORPORATION 131
13.4 MICROSOFT CORPORATION 135
13.5 INTERNATIONAL BUSINESS MACHINES CORPORATION 138
13.6 HARMAN INTERNATIONAL INDUSTRIES, INC. 142
13.7 XILINX INC. 145
13.8 QUALCOMM INC. 148
13.9 TESLA, INC. 152
13.10 VOLVO CAR CORPORATION 156
13.11 BAYERISCHE MOTOREN WERKE AG 160
13.12 AUDI AG 164
13.13 GENERAL MOTORS COMPANY 167
13.14 FORD MOTOR COMPANY 171
13.15 TOYOTA MOTOR CORPORATION 174
13.16 HONDA MOTOR CO. LTD. 177
13.17 HYUNDAI MOTOR COMPANY 180
13.18 DAIMLER AG 183
13.19 UBER TECHNOLOGIES, INC. 187
13.20 DIDI CHUXING 190
13.21 START-UP ECOSYSTEM 193
13.21.1 AIMOTIVE 193
13.21.2 NAUTO, INC. 194
13.21.3 NUTONOMY 194
13.21.4 ZOOX INC. 195
13.21.5 DRIVE.AI, INC. 195
*Details on Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments, MNM View, Key Relationships might not be captured in case of unlisted companies.

14 APPENDIX 196
14.1 INSIGHTS FROM INDUSTRY EXPERTS 196
14.2 DISCUSSION GUIDE 197
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 199
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 201
14.5 AVAILABLE CUSTOMIZATION 202
14.6 RELATED REPORTS 202
14.7 AUTHOR DETAILS 203


LIST OF TABLES

TABLE 1 LUXURY VEHICLE SALES OF KEY MANUFACTURERS, INDIA, 2013-2015 24
TABLE 2 LUXURY VEHICLE SALES OF KEY MANUFACTURERS, CHINA, 2013-2015 25
TABLE 3 REGULATIONS FOR DRIVER ASSISTANCE SYSTEMS 44
TABLE 4 AUTONOMOUS DRIVING ATTEMPTS AMONG AUTOMAKERS 46
TABLE 5 NUMBER OF LUXURY PASSENGER CARS SOLD BY KEY MANUFACTURERS IN CHINA, INDIA, GERMANY, & UK, 2014-2015 49
TABLE 6 AUTOMOTIVE AI MARKET, BY OFFERING, 2015-2025 (USD MILLION) 57
TABLE 7 AUTOMOTIVE AI HARDWARE MARKET, BY COMPUTING TYPE,
2015-2025 (USD MILLION) 59
TABLE 8 AUTOMOTIVE AI HARDWARE MARKET, BY TECHNOLOGY,
2015-2025 (USD MILLION) 60
TABLE 9 AUTOMOTIVE AI HARDWARE MARKET, BY REGION, 2015-2025 (USD MILLION) 61
TABLE 10 AUTOMOTIVE AI SOFTWARE MARKET, BY SOFTWARE TYPE,
2015-2025 (USD MILLION) 62
TABLE 11 AUTOMOTIVE AI SOFTWARE MARKET, BY TECHNOLOGY,
2015-2025 (USD MILLION) 63
TABLE 12 AUTOMOTIVE AI SOFTWARE MARKET, BY REGION, 2015-2025 (USD MILLION) 63
TABLE 13 AUTOMOTIVE AI MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION) 66
TABLE 14 AUTOMOTIVE AI MARKET FOR DEEP LEARNING TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION) 67
TABLE 15 AUTOMOTIVE AI MARKET FOR DEEP LEARNING, BY APPLICATION,
2015-2025 (USD MILLION) 67
TABLE 16 AUTOMOTIVE AI MARKET FOR DEEP LEARNING, BY REGION,
2015-2025 (USD MILLION) 68
TABLE 17 AUTOMOTIVE AI MARKET FOR MACHINE LEARNING TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION) 69
TABLE 18 AUTOMOTIVE AI MARKET FOR MACHINE LEARNING, BY APPLICATION,
2015-2025 (USD MILLION) 70
TABLE 19 AUTOMOTIVE AI MARKET FOR MACHINE LEARNING, BY REGION,
2015-2025 (USD MILLION) 71
TABLE 20 AUTOMOTIVE AI MARKET FOR COMPUTER VISION TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION) 72
TABLE 21 AUTOMOTIVE AI MARKET FOR COMPUTER VISION, BY APPLICATION,
2015-2025 (USD MILLION) 72
TABLE 22 AUTOMOTIVE AI MARKET FOR COMPUTER VISION, BY REGION,
2015-2025 (USD MILLION) 73
TABLE 23 AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS TECHNOLOGY, BY OFFERING, 2015-2025 (USD MILLION) 74
TABLE 24 AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS, BY APPLICATION,
2015-2025 (USD MILLION) 74
TABLE 25 AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS, BY REGION,
2015-2025 (USD MILLION) 75
TABLE 26 AUTOMOTIVE AI MARKET FOR NLP TECHNOLOGY, BY OFFERING,
2015-2025 (USD MILLION) 77
TABLE 27 AUTOMOTIVE AI MARKET FOR NLP, BY REGION, 2015-2025 (USD MILLION) 77
TABLE 28 AUTOMOTIVE AI MARKET, BY PROCESS, 2015-2025 (USD MILLION) 79
TABLE 29 AUTOMOTIVE AI MARKET FOR SIGNAL RECOGNITION, BY APPLICATION,
2015-2025 (USD MILLION) 80
TABLE 30 AUTOMOTIVE AI MARKET FOR SIGNAL RECOGNITION, BY REGION,
2015-2025 (USD MILLION) 81
TABLE 31 AUTOMOTIVE AI MARKET FOR IMAGE RECOGNITION, BY APPLICATION,
2015-2025 (USD MILLION) 83
TABLE 32 AUTOMOTIVE AI MARKET FOR IMAGE RECOGNITION, BY REGION,
2015-2025 (USD MILLION) 83
TABLE 33 AUTOMOTIVE AI MARKET FOR DATA MINING, BY APPLICATION,
2015-2025 (USD MILLION) 84
TABLE 34 AUTOMOTIVE AI MARKET, FOR DATA MINING, BY REGION,
2015-2025 (USD MILLION) 85
TABLE 35 AUTOMOTIVE AI MARKET, BY APPLICATION, 2015-2025 (USD MILLION) 87
TABLE 36 AUTOMOTIVE AI MARKET FOR HMI, BY REGION, 2015-2025 (USD MILLION) 89
TABLE 37 AUTOMOTIVE AI MARKET FOR HMI, BY PROCESS, 2015-2025 (USD MILLION) 90
TABLE 38 AUTOMOTIVE AI MARKET FOR HMI, BY TECHNOLOGY, 2015-2025 (USD MILLION) 90
TABLE 39 AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING, BY REGION,
2015-2025 (USD MILLION) 91
TABLE 40 AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING, BY PROCESS,
2015-2025 (USD MILLION) 92
TABLE 41 AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING, BY TECHNOLOGY, 2015-2025 (USD MILLION) 93
TABLE 42 AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING, BY REGION,
2015-2025 (USD MILLION) 94
TABLE 43 AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING, BY PROCESS,
2015-2025 (USD MILLION) 94
TABLE 44 AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING, BY TECHNOLOGY,
2015-2025 (USD MILLION) 95
TABLE 45 AUTOMOTIVE AI MARKET, BY REGION, 2015-2025 (USD MILLION) 97
TABLE 46 AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY APPLICATION,
2015-2025 (USD MILLION) 100
TABLE 47 AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY OFFERING,
2015-2025 (USD MILLION) 100
TABLE 48 AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY PROCESS,
2015-2025 (USD MILLION) 100
TABLE 49 AUTOMOTIVE AI MARKET, FOR NORTH AMERICA, BY TECHNOLOGY,
2015-2025 (USD MILLION) 101
TABLE 50 AUTOMOTIVE AI MARKET, NORTH AMERICA, BY COUNTRY,
2015-2025 (USD MILLION) 101
TABLE 51 AUTOMOTIVE AI MARKET, FOR EUROPE, BY APPLICATION,
2015-2025 (USD MILLION) 105
TABLE 52 AUTOMOTIVE AI MARKET, FOR EUROPE, BY OFFERING, 2015-2025 (USD MILLION) 105
TABLE 53 AUTOMOTIVE AI MARKET, FOR EUROPE, BY PROCESS, 2015-2025 (USD MILLION) 105
TABLE 54 AUTOMOTIVE AI MARKET, FOR EUROPE, BY TECHNOLOGY,
2015-2025 (USD MILLION) 106
TABLE 55 AUTOMOTIVE AI MARKET, EUROPE, BY REGION, 2015-2025 (USD MILLION) 107
TABLE 56 AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY APPLICATION,
2015-2025 (USD MILLION) 111
TABLE 57 AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY OFFERING,
2015-2025 (USD MILLION) 111
TABLE 58 AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY PROCESS,
2015-2025 (USD MILLION) 111
TABLE 59 AUTOMOTIVE AI MARKET, FOR ASIA PACIFIC, BY TECHNOLOGY,
2015-2025 (USD MILLION) 112
TABLE 60 AUTOMOTIVE AI MARKET, ASIA PACIFIC, BY REGION, 2015-2025 (USD MILLION)) 113
TABLE 61 AUTOMOTIVE AI MARKET, FOR ROW, BY APPLICATION, 2015-2025 (USD MILLION) 114
TABLE 62 AUTOMOTIVE AI MARKET, FOR ROW, BY OFFERING, 2015-2025 (USD MILLION) 115
TABLE 63 AUTOMOTIVE AI MARKET, FOR ROW, BY PROCESS, 2015-2025 (USD MILLION) 115
TABLE 64 AUTOMOTIVE AI MARKET, FOR ROW, BY TECHNOLOGY, 2015-2025 (USD MILLION) 115
TABLE 65 AUTOMOTIVE AI MARKET, ROW, BY REGION, 2015-2025 (USD MILLION) 116
TABLE 66 NVIDIA CORPORATION LED THE AUTOMOTIVE AI MARKET IN 2016 118


LIST OF FIGURES

FIGURE 1 AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN 20
FIGURE 2 AVERAGE TRAFFIC CONGESTION, 2015 25
FIGURE 3 URBAN POPULATION, 2005 VS 2015 26
FIGURE 4 TECHNOLOGICAL ADVANCEMENTS IN VEHICLE AUTOMATION 27
FIGURE 5 PROCESS FLOW OF MARKET SIZE ESTIMATION 27
FIGURE 6 MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH 28
FIGURE 7 MARKET SIZE ESTIMATION: TOP-DOWN APPROACH 29
FIGURE 8 DATA TRIANGULATION 30
FIGURE 9 AUTOMOTIVE AI MARKET, BY OFFERING, 2017-2025 32
FIGURE 10 AUTOMOTIVE AI MARKET, BY TECHNOLOGY, 2017-2025 33
FIGURE 11 AUTOMOTIVE AI MARKET, BY PROCESS, 2017 VS 2025 34
FIGURE 12 AUTOMOTIVE AI MARKET, BY APPLICATION, 2017-2025 35
FIGURE 13 AUTOMOTIVE AI MARKET, BY REGION, 2017 36
FIGURE 14 AUTOMOTIVE AI MARKET EXPECTED TO GROW AT A STEADY RATE BETWEEN
2017 AND 2025 38
FIGURE 15 SOFTWARE TO HOLD THE LARGEST MARKET IN 2017 38
FIGURE 16 DEEP LEARNING EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 39
FIGURE 17 HUMAN-MACHINE INTERFACE EXPECTED TO HOLD THE LARGEST SHARE OF
THE AUTOMOTIVE AI MARKET BY APPLICATION IN 2017 39
FIGURE 18 US HELD THE LARGEST SHARE OF THE AUTOMOTIVE AI MARKET IN 2017 40
FIGURE 19 AUTOMOTIVE AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND RESTRAINTS 42
FIGURE 20 ROAD TRAFFIC DEATH RATE, PER 1,00,000 POPULATION, 2015 43
FIGURE 21 LEVELS OF AUTONOMOUS DRIVING 46
FIGURE 22 SENSOR FUSION 50
FIGURE 23 EVOLUTION OF ARTIFICIAL INTELLIGENCE IN THE AUTOMOTIVE INDUSTRY 52
FIGURE 24 ROLE OF ARTIFICIAL INTELLIGENCE IN AUTOMOTIVE INDUSTRY 52
FIGURE 25 SOFTWARE EXPECTED TO HOLD A LARGER SHARE OF THE AUTOMOTIVE AI MARKET IN 2017 57
FIGURE 26 NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI HARDWARE MARKET DURING THE FORECAST PERIOD 60
FIGURE 27 DEEP LEARNING TECHNOLOGY TO HAVE THE LARGEST MARKET SIZE IN THE AUTOMOTIVE AI MARKET DURING THE FORECAST PERIOD 62
FIGURE 28 DEEP LEARNING EXPECTED TO HOLD THE LARGEST SHARE OF THE AUTOMOTIVE AI MARKET IN 2017 65
FIGURE 29 NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR DEEP LEARNING DURING THE FORECAST PERIOD 68
FIGURE 30 HMI TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR MACHINE LEARNING DURING THE FORECAST PERIOD 70
FIGURE 31 NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR CONTEXT AWARENESS DURING THE FORECAST PERIOD 75
FIGURE 32 SOFTWARE TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR NATURAL LANGUAGE PROCESSING DURING THE FORECAST PERIOD 76
FIGURE 33 SIGNAL RECOGNITION EXPECTED TO HOLD THE LARGEST SHARE OF THE AUTOMOTIVE AI MARKET, BY PROCESS, IN 2017 79
FIGURE 34 NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR SIGNAL RECOGNITION DURING THE FORECAST PERIOD 81
FIGURE 35 HMI TECHNOLOGY TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR IMAGE RECOGNITION DURING THE FORECAST PERIOD 82
FIGURE 36 NORTH AMERICA TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET FOR DATA MINING DURING THE FORECAST PERIOD 85
FIGURE 37 HMI APPLICATION TO HAVE THE LARGEST MARKET SHARE OF THE AUTOMOTIVE AI MARKET BY 2025 87
FIGURE 38 NORTH AMERICA EXPECTED TO DOMINATE THE AUTOMOTIVE AI MARKET FOR HMI APPLICATION DURING THE FORECAST PERIOD 89
FIGURE 39 SIGNAL RECOGNITION EXPECTED TO DOMINATE THE AUTOMOTIVE AI MARKET FOR SEMI-AUTONOMOUS DRIVING APPLICATION DURING THE FORECAST PERIOD 92
FIGURE 40 DEEP LEARNING EXPECTED TO DOMINATE THE AUTOMOTIVE AI MARKET FOR AUTONOMOUS DRIVING APPLICATION DURING THE FORECAST PERIOD 95
FIGURE 41 NORTH AMERICA EXPECTED TO DOMINATE AUTOMOTIVE AI MARKET DURING FORECAST PERIOD 97
FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT 99
FIGURE 43 EUROPE: MARKET SNAPSHOT 104
FIGURE 44 GERMANY EXPECTED TO DOMINATE AUTOMOTIVE AI MARKET IN EUROPE DURING FORECAST PERIOD 106
FIGURE 45 ASIA PACIFIC: MARKET SNAPSHOT 110
FIGURE 46 CHINA EXPECTED TO DOMINATE AUTOMOTIVE AI MARKET IN ASIA PACIFIC DURING FORECAST PERIOD 112
FIGURE 47 COMPANIES ADOPTED PARTNERSHIPS, AGREEMENTS, ALLIANCES, & COLLABORATIONS AS KEY GROWTH STRATEGIES BETWEEN 2015 AND 2017 117
FIGURE 48 AUTOMOTIVE AI MARKET (GLOBAL): COMPETITIVE LEADERSHIP MAPPING, 2017 120
FIGURE 49 NVIDIA CORPORATION: COMPANY SNAPSHOT 123
FIGURE 50 ALPHABET INC.: COMPANY SNAPSHOT 127
FIGURE 51 INTEL CORPORATION: COMPANY SNAPSHOT 131
FIGURE 52 MICROSOFT CORPORATION: COMPANY SNAPSHOT 135
FIGURE 53 IBM CORPORATION: COMPANY SNAPSHOT 138
FIGURE 54 HARMAN INTERNATIONAL INDUSTRIES, INC.: COMPANY SNAPSHOT 142
FIGURE 55 XILINX INC.: COMPANY SNAPSHOT 145
FIGURE 56 QUALCOMM INC.: COMPANY SNAPSHOT 148
FIGURE 57 TESLA, INC.: COMPANY SNAPSHOT 152
FIGURE 58 VOLVO CAR CORPORATION: COMPANY SNAPSHOT 156
FIGURE 59 BAYERISCHE MOTOREN WERKE AG: COMPANY SNAPSHOT 160
FIGURE 60 AUDI AG: COMPANY SNAPSHOT 164
FIGURE 61 GENERAL MOTORS COMPANY: COMPANY SNAPSHOT 167
FIGURE 62 FORD MOTOR COMPANY: COMPANY SNAPSHOT 171
FIGURE 63 TOYOTA MOTOR CORPORATION: COMPANY SNAPSHOT 174
FIGURE 64 HONDA MOTOR CO. LTD.: COMPANY SNAPSHOT 177
FIGURE 65 HYUNDAI MOTOR COMPANY: COMPANY SNAPSHOT 180
FIGURE 66 DAIMLER AG: COMPANY SNAPSHOT 183

 

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自動車用人工知能(AI)市場は2025年に105億7330万ドルに

2017年8月29日
幅広い市場を対象としている調査会社マーケッツアンドマーケッツ(MarketsandMarkets)の調査レポート「自動車用人工知能(AI)市場:ハードウェア・ソフトウェア毎、技術毎(深層学習、機械学習、コンピュータビジョン、コンテキストアウェアネス、自然言語処理)、プロセス毎、用途毎、地域毎 - 2025年までの世界市場予測」は、自動車用人工知能(AI)市場は2017-2025年に年平均成長率(CAGR)38.4%で成長し、2017年の7億8290万ドルから2025年の105億7330万ドルに達するだろうと報告している。自動運転自動車の登場や、定速走行・車間距離制御装置(ACC、アダプティブクルーズコントロール)、死角検知・警報、先進運転支援システム(ADAS)のような産業全体にわたる規格が、自動車用の人工知能市場の成長のきっかけとなるだろう。利便や安全への需要の拡大にともない、顧客を引き付ける新しく革新的な人工知能システムの開発は、OEMにビジネスチャンスをもたらすだろう。

AIソフトウェアや関連開発キットにおける様々な進歩によって、自動車産業での人工知能市場全体における最大のシェアはソフトウェアが占めている。近年、AIソフトウェアソリューション、プラットフォーム、関連ソフトウェア開発キットなどの主要な展開がみられている。米国のアルファベット(Alphabet Inc.)、マイクロソフト、IBM、インテルなどがAIソフトウェア開発の先行企業である。これらの主要企業はすべて、自動車用人工知能のエコシステムでの立場を確立・維持するために、新興企業への多額の投資や獲得に注力している。例えば、2017年3月にインテルはイスラエルのモービルアイ(Mobileye)を約150億ドルで買収した。

 

[プレスリリース原文]

Automotive Artificial Intelligence Market worth 10,573.3 Million USD by 2025


August 29, 2017

According to the new market research report "Automotive Artificial Intelligence Market by Offering (Hardware, Software), Technology (Deep Learning, Machine Learning, Computer Vision, Context Awareness and Natural Language Processing), Process, Application and Region - Global Forecast to 2025", the automotive artificial intelligence (AI) market report, the market is expected to be valued at USD 782.9 Million in 2017 and is expected to reach USD 10,573.3 Million by 2025, at a CAGR of 38.46% between 2017 and 2025.

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

Software to hold the largest automotive AI market by 2025

Software holds a major share of the overall AI market in the automotive industry because of the various developments of AI software and related development kits. In the recent years, major developments have occurred in AI software solutions, platforms, and related software development kits. Companies such as Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), and Intel Corporation (US) are among the frontrunners in the development of AI software. All these major companies are investing heavily in start-ups or acquiring them, to maintain a strong position in the automotive AI ecosystem. For instance, in March 2017, Intel Corporation (US) acquired Mobileye (Israel) for approximately USD 15 billion.

Market for deep learning technology expected to grow at the highest rate between 2017 and 2025

Most of the AI hardware and software include a mixture of various technologies, which are used in various applications. The deep learning technology is expected to be the largest and the fastest-growing technology in the automotive AI market and is used in voice recognition, voice search, recommendation engines, sentiment analysis, image recognition, and motion detection. The deep learning technology is widely being used in the developments of autonomous cars. Many companies are investing in the development of self-driving cars in which the deep learning technology is used for image processing, speech recognition, and data analysis. For instance, Google is heavily investing in autonomous vehicles through its spin-off Waymo and has an active system integrated into its self-driving vehicle with the deep learning technology to detect pedestrians in different situations.

North America expected to hold a major share of the automotive AI market in 2017

The presence of incentives and high level of funding from governments plays a major role in the development of this technology. For instance, in 2016, the US government has spent USD 4.00 billion to accelerate the acceptance of autonomous vehicles on US roads. The automotive industry in the US is a highly advanced industry, with the “big three”-Ford Motor Company, General Motors, and Fiat-Chrysler Automotive continuously upgrading their product portfolios. 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.

The companies covered in the automotive AI market are NVIDIA Corporation (US), Alphabet Inc. (US), Intel Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), and Didi Chuxing (China). Some important start-ups from the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), and drive.ai (US).

 

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