Market Overview
The deployment of AI in transportation is driven by the concept of deep learning. AI has become an integral part of the autonomous vehicle industry and is essential for the operation, driving, decision-making and learning processes of transports. Self-driving trucks are rapidly adopting AI and there are many benefits of this technology. The AI in the transportation market is segmented for specific vehicles and the adoption of AI-powered vehicles can offer many features such as speech recognition, data analysis, image processing, and efficient driving in traffic conditions.

The implementation of AI in the transportation market also requires technologies such as sensors, data fusion, and collision warning systems. The growing demand for AI in transportation is expected to lead to widespread adoption of AI-powered vehicles during the forecast period, according to market analysis.

Segment Overview
The market is segmented into application, offering, ML technology, and IoT communication technology.

The AI in transportation market is segmented by application into HMI in Trucks, and Semi-Autonomous Trucks. Autonomous Trucks, Autonomous Trucks held the largest market share due to advancements in the trucking industry and growth in the logistics industry in the US. HMI is also expected to grow significantly, thanks to its high penetration across trucks compared to advanced driver-assistance systems (ADAS).

The offering segment of the AI in transportation market is divided into Hardware and Software. The software segment held the larger market share, driven by the increased use of software-as-a-service platforms in human-machine interface (HMI) applications. Hardware is further sub-segmented into Neuromorphic and Von Neumann. The software segment is further divided into Platforms and Solutions.

Regional Analysis
The AI in transportation market is divided into three major regions: Asia Pacific, Europe, and North America. North America is currently leading in terms of market value, due to its strong regulatory framework for safety and compliance. There is a projected significant growth rate in the region, with a robust financial position that is expected to result in substantial investments in AI transportation in 2023.

Mexico alone is predicted to see over 20 billion dollars in investment for AI in transportation. The Asia Pacific is the fastest-growing region for AI in transportation, with its economic growth and expanding logistics sectors driving demand. Europe, home to several top-leading commercial vehicle producers, is well known for its high demand for commercial vehicles, which will contribute to a higher adoption rate of AI in transportation in the region. All these regional players are expected to experience higher profitability during the forecast period, with additional regions potentially emerging in the future.

Major Players
The key players in the market are Siemens Mobility Solutions, VALEO, Daimler AG, Scania AB, IBM Corporation, Magna International Inc., Robert Bosch GmbH, Huawei Technologies Co. Ltd., Intel Corporation, NEC Corporation, Microsoft Corporation, Volvo, ZF Friedrichshafen AG, Continental AG, and Nvidia.

COVID 19 Impacts
The COVID-19 pandemic has greatly impacted the global markets, including the AI in transportation industry. The pandemic and economic recession have resulted in market disruptions and reduced demand. The production of AI in transportation products has also declined during this time.

The truck segment of the market has been particularly affected by the pandemic and faces significant losses. Deploying AI into transportation has become difficult due to the pandemic, including the rise in the cost of materials. These factors have negatively impacted the sales of AI in transportation during the COVID-19 period. However, the market is expected to recover post-pandemic..

TABLE OF CONTENT

S
1 EXECUTIVE SUMMARY 22
2 MARKET INTRODUCTION 24
2.1 DEFINITION 24
2.2 SCOPE OF THE STUDY 24
2.3 RESEARCH OBJECTIVE 24
2.4 MARKET STRUCTURE 24
3 RESEARCH METHODOLOGY 25
4 MARKET INSIGHTS 32
5 MARKET DYNAMICS 34
5.1 INTRODUCTION 34
5.2 DRIVERS 35
5.2.1 INCREASING FOCUS ON ENHANCING DRIVER AND VEHICLE SAFETY 35
5.2.2 RISING NEED FOR ENHANCED OPERATIONAL EFFICIENCY 36
5.3 RESTRAINTS 37
5.3.1 HIGH COST OF IMPLEMENTATION 37
5.3.2 LACK OF SKILLED WORKFORCE 37
5.4 OPPORTUNITY 38
5.4.1 INCREASING DEMAND FOR AI SOLUTIONS IN RAILWAY CARGO TRANSPORTATION 38
5.5 IMPACT OF COVID-19 38
5.5.1 IMPACT ON TRANSPORTATION INDUSTRY 38
5.5.2 IMPACT OF IT EXPENDITURE 38
5.5.3 IMPACT ON AUTOMATION 39
6 MARKET FACTOR ANALYSIS 40
6.1 SUPPLY CHAIN ANALYSIS 40
6.1.1 HARDWARE/SOFTWARE PROVIDERS 40
6.1.2 AI IN TRANSPORTATION VENDORS/SERVICE PROVIDERS 40
6.1.3 SYSTEM INTEGRATORS 41
6.1.4 END USERS 41
6.2 PORTER’S FIVE FORCES MODEL 41
6.2.1 THREAT OF NEW ENTRANTS 42
6.2.2 BARGAINING POWER OF SUPPLIERS 42
6.2.3 THREAT OF SUBSTITUTES 42
6.2.4 BARGAINING POWER OF BUYERS 42
6.2.5 INTENSITY OF RIVALRY 42
7 GLOBAL AI IN TRANSPORTATION MARKET, BY OFFERING 43
7.1 OVERVIEW 43
7.1.1 HARDWARE 44
7.1.1.1 CPU 44
7.1.1.2 GPU 45
7.1.1.3 SENSORS 45
7.1.1.4 OTHERS 45
7.1.2 SOFTWARE 46
7.1.2.1 AI PLATFORM 46
7.1.2.2 AI SOLUTION 47
8 GLOBAL AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY 48
8.1 OVERVIEW 48
8.1.1 DEEP LEARNING 49
8.1.2 COMPUTER VISION 50
8.1.3 NATURAL LANGUAGE PROCESSING (NLP) 50
8.1.4 CONTEXT AWARENESS 50
9 GLOBAL AI IN TRANSPORTATION MARKET, BY APPLICATION 51
9.1 OVERVIEW 51
9.1.1 SEMI-AUTONOMOUS TRUCK 52
9.1.2 TRUCK PLATOONING 52
9.1.3 PREDICTIVE MAINTENANCE 52
9.1.4 PRECISION & MAPPING 53
9.1.5 AUTONOMOUS TRUCK 53
9.1.6 HUMAN-MACHINE INTERFACE (HMI) 53
9.1.7 OTHERS 53
10 GLOBAL AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY 54
10.1 OVERVIEW 54
10.1.1 5G 54
10.1.2 LTE 55
10.1.3 LPWAN 55
11 GLOBAL AI IN TRANSPORTATION MARKET, BY REGION 56
11.1 OVERVIEW 56
11.2 NORTH AMERICA 57
11.2.1 NORTH AMERICA: AI IN TRANSPORTATION MARKET, BY COUNTRY, 2018–2027 (USD MILLION) 58
11.2.2 NORTH AMERICA: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 59
11.2.3 NORTH AMERICA: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 60
11.2.4 NORTH AMERICA: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 60
11.2.5 NORTH AMERICA: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 61
11.2.6 NORTH AMERICA: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 62
11.2.7 NORTH AMERICA: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 63
11.2.8 US 63
11.2.8.1 US: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 63
11.2.8.2 US: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 64
11.2.8.3 US: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 64
11.2.8.4 US AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 65
11.2.8.5 US AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 65
11.2.8.6 US AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 66
11.2.9 CANADA 66
11.2.9.1 CANADA: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 66
11.2.9.2 CANADA: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 67
11.2.9.3 CANADA: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 67
11.2.9.4 CANADA AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 68
11.2.9.5 CANADA AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 68
11.2.9.6 CANADA AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 69
11.2.10 MEXICO 69
11.2.10.1 MEXICO: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 69
11.2.10.2 MEXICO: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 70
11.2.10.3 MEXICO: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 70
11.2.10.4 MEXICO AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 71
11.2.10.5 MEXICO AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 71
11.2.10.6 MEXICO AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 72
11.3 ASIA-PACIFIC 72
11.3.1 ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY COUNTRY, 2018–2027 (USD MILLION) 73
11.3.2 ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 74
11.3.3 ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 75
11.3.4 ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 75
11.3.5 ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 76
11.3.6 ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 77
11.3.7 ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 78
11.3.8 CHINA 78
11.3.8.1 CHINA: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 78
11.3.8.2 CHINA: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 79
11.3.8.3 CHINA: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 79
11.3.8.4 CHINA AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 80
11.3.8.5 CHINA AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 80
11.3.8.6 CHINA AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 81
11.3.9 JAPAN 81
11.3.9.1 JAPAN: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 81
11.3.9.2 JAPAN: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 82
11.3.9.3 JAPAN: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 82
11.3.9.4 JAPAN AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 83
11.3.9.5 JAPAN: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 83
11.3.9.6 JAPAN: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 84
11.3.10 REST OF ASIA-PACIFIC 84
11.3.10.1 REST OF ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 84
11.3.10.2 REST OF ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 85
11.3.10.3 REST OF ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 85
11.3.10.4 REST OF ASIA-PACIFIC: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY,
2018–2027 (USD MILLION) 86
11.3.10.5 REST OF ASIA-PACIFIC:AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 86
11.3.10.6 REST OF ASIA-PACIFIC:AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION
TECHNOLOGY, 2018–2027 (USD MILLION) 87
11.3.11 INDIA 87
11.3.11.1 INDIA: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 87
11.3.11.2 INDIA: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 88
11.3.11.3 INDIA: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 88
11.3.11.4 INDIA: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 89
11.3.11.5 INDIA: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 89
11.3.11.6 INDIA: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 90
11.4 EUROPE 91
11.4.1 EUROPE: AI IN TRANSPORTATION MARKET, BY REGION, 2018–2027 (USD MILLION) 92
11.4.2 EUROPE: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 93
11.4.3 EUROPE: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 94
11.4.4 EUROPE: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 94
11.4.5 EUROPE: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 95
11.4.6 EUROPE: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 96
11.4.7 EUROPE: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 97
11.4.8 UK 97
11.4.8.1 UK: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 97
11.4.8.2 UK: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 98
11.4.8.3 UK: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 98
11.4.8.4 UK: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 99
11.4.8.5 UK: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 99
11.4.8.6 UK: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 100
11.4.9 EU-27 100
11.4.9.1 EU-27: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 100
11.4.9.2 EU-27: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 101
11.4.9.3 EU-27: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 101
11.4.9.4 EU-27 AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 102
11.4.9.5 EU-27 AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 102
11.4.9.6 EU-27 AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 103
11.4.9.7 GERMANY 103
11.4.9.7.1 GERMANY: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 103
11.4.9.7.2 GERMANY: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 104
11.4.9.7.3 GERMANY: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 104
11.4.9.7.4 GERMANY AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 105
11.4.9.7.5 GERMANY AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 105
11.4.9.7.6 GERMANY AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 106
 
11.4.9.8 FRANCE 106
11.4.9.8.1 FRANCE: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 106
11.4.9.8.2 FRANCE: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 107
11.4.9.8.3 FRANCE: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 107
11.4.9.8.4 FRANCE AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 108
11.4.9.8.5 FRANCE AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 108
11.4.9.8.6 FRANCE AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION
TECHNOLOGY, 2018–2027 (USD MILLION) 109
11.4.9.9 ITALY 109
11.4.9.9.1 ITALY: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 109
11.4.9.9.2 ITALY: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 110
11.4.9.9.3 ITALY: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 110
11.4.9.9.4 ITALY AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 111
11.4.9.9.5 ITALY AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 111
11.4.9.9.6 ITALY AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 112
11.4.9.10 SPAIN 112
11.4.9.10.1 SPAIN: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 112
11.4.9.10.2 SPAIN: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 113
11.4.9.10.3 SPAIN: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 113
11.4.9.10.4 SPAIN AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 114
11.4.9.10.5 SPAIN AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 114
11.4.9.10.6 SPAIN AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 115
11.4.9.11 REST OF EU-27 115
11.4.9.11.1 REST OF EU-27: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 115
11.4.9.11.2 REST OF EU-27: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 116
11.4.9.11.3 REST OF EU-27: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 116
11.4.9.11.4 REST OF EU-27 AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 117
11.4.9.11.5 REST OF EU-27 AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 117
11.4.9.11.6 REST OF EU-27 AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 118
11.4.9.12 BELGIUM 118
11.4.9.12.1 BELGIUM: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 118
11.4.9.12.2 BELGIUM: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 119
11.4.9.12.3 BELGIUM: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 119
11.4.9.12.4 BELGIUM AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 120
11.4.9.12.5 BELGIUM AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 120
11.4.9.12.6 BELGIUM AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 121
11.4.9.13 THE NETHERLANDS 121
11.4.9.13.1 THE NETHERLANDS: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 121
11.4.9.13.2 THE NETHERLANDS: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 122
11.4.9.13.3 THE NETHERLANDS: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 122
11.4.9.13.4 THE NETHERLANDS AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY,
2018–2027 (USD MILLION) 123
11.4.9.13.5 THE NETHERLANDS AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 123
11.4.9.13.6 THE NETHERLANDS AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION
TECHNOLOGY, 2018–2027 (USD MILLION) 124
11.4.9.14 SWEDEN 124
11.4.9.14.1 SWEDEN: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 124
11.4.9.14.2 SWEDEN: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 125
11.4.9.14.3 SWEDEN: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 125
11.4.9.14.4 SWEDEN AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 126
11.4.9.14.5 SWEDEN AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 126
11.4.9.14.6 SWEDEN AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 127
11.4.9.15 CZECH REPUBLIC 127
11.4.9.15.1 CZECH REPUBLIC: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 127
11.4.9.15.2 CZECH REPUBLIC: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 128
11.4.9.15.3 CZECH REPUBLIC: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 128
11.4.9.15.4 ZECH REPUBLIC AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 129
11.4.9.15.5 CZECH REPUBLIC AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 129
11.4.9.15.6 CZECH REPUBLIC AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION
TECHNOLOGY, 2018–2027 (USD MILLION) 130
11.5 MIDDLE EAST & AFRICA 131
11.5.1 MIDDLE EAST & AFRICA: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 131
11.5.2 MIDDLE EAST & AFRICA: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 131
11.5.3 MIDDLE EAST & AFRICA: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 132
11.5.4 MIDDLE EAST & AFRICA: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 132
11.5.5 MIDDLE EAST & AFRICA: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 133
11.5.6 MIDDLE EAST & AFRICA: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 133
11.6 SOUTH AMERICA 134
11.6.1 SOUTH AMERICA: AI IN TRANSPORTATION MARKET, BY OFFERING, 2018–2027 (USD MILLION) 134
11.6.2 SOUTH AMERICA: AI IN TRANSPORTATION MARKET, BY HARDWARE, 2018–2027 (USD MILLION) 134
11.6.3 SOUTH AMERICA: AI IN TRANSPORTATION MARKET, BY SOFTWARE, 2018–2027 (USD MILLION) 135
11.6.4 SOUTH AMERICA: AI IN TRANSPORTATION MARKET, BY ML TECHNOLOGY, 2018–2027 (USD MILLION) 135
11.6.5 SOUTH AMERICA: AI IN TRANSPORTATION MARKET, BY APPLICATION, 2018–2027 (USD MILLION) 136
11.6.6 SOUTH AMERICA: AI IN TRANSPORTATION MARKET, BY IOT COMMUNICATION TECHNOLOGY,
2018–2027 (USD MILLION) 136
12 COMPETITVE LANDSCAPE 137
12.1 COMPETITIVE BENCHMARKING 138
12.2 VENDOR SHARE ANALYSIS 139
12.3 RECENT DEVELOPMENTS 139
12.3.1 PARTNERSHIPS/AGREEMENTS/CONTRACTS/COLLABORATIONS 139
12.3.2 ACQUISITIONS 141
12.3.3 BUSINESS EXPANSIONS 141
12.3.4 PRODUCT LAUNCHES/DEVELOPMENTS 142
13 COMPANY PROFILES 144
13.1 SIEMENS MOBILITY SOLUTIONS 144
13.1.1 COMPANY OVERVIEW 144
13.1.2 FINANCIAL OVERVIEW 145
13.1.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 145
13.1.4 KEY DEVELOPMENTS 146
13.1.5 SWOT ANALYSIS 146
13.1.6 KEY STRATEGIES 147
13.2 HUAWEI TECHNOLOGIES CO. LTD. 148
13.2.1 COMPANY OVERVIEW 148
13.2.2 FINANCIAL OVERVIEW 148
13.2.3 PRODUCTS/SERVICES/SOLUTIONS OFFERED 149
13.2.4 KEY DEVELOPMENTS 149
13.2.5 SWOT ANALYSIS 150
13.2.6 KEY STRATEGIES 150
 
13.3 INTEL CORPORATION 151
13.3.1 COMPANY OVERVIEW 151
13.3.2 FINANCIAL OVERVIEW 152
13.3.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 152
13.3.4 KEY DEVELOPMENTS 153
13.3.5 SWOT ANALYSIS 153
13.3.6 KEY STRATEGIES 154
13.4 NEC CORPORATION 155
13.4.1 COMPANY OVERVIEW 155
13.4.2 FINANCIAL OVERVIEW 156
13.4.3 PRODUCTS/SERVICES/SOLUTIONS OFFERED 156
13.4.4 KEY DEVELOPMENTS 157
13.4.5 SWOT ANALYSIS 157
13.4.6 KEY STRATEGIES 158
13.5 MICROSOFT CORPORATION 159
13.5.1 COMPANY OVERVIEW 159
13.5.2 FINANCIAL OVERVIEW 160
13.5.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 160
13.5.4 KEY DEVELOPMENTS 161
13.5.5 SWOT ANALYSIS 161
13.5.6 KEY STRATEGIES 161
13.6 IBM CORPORATION 162
13.6.1 COMPANY OVERVIEW 162
13.6.2 FINANCIAL OVERVIEW 163
13.6.3 PRODUCTS OFFERED 163
13.6.4 KEY DEVELOPMENTS 164
13.6.5 SWOT ANALYSIS 164
13.6.6 KEY STRATEGIES 164
13.7 ROBERT BOSCH GMBH 165
13.7.1 COMPANY OVERVIEW 165
13.7.2 FINANCIAL OVERVIEW 165
13.7.3 PRODUCTS OFFERED 166
13.7.4 KEY DEVELOPMENTS 166
13.7.5 SWOT ANALYSIS 167
13.7.6 KEY STRATEGIES 167
 
13.8 VALEO 168
13.8.1 COMPANY OVERVIEW 168
13.8.2 FINANCIAL OVERVIEW 169
13.8.3 PRODUCTS OFFERED 170
13.8.4 KEY DEVELOPMENTS 170
13.8.5 SWOT ANALYSIS 171
13.8.6 KEY STRATEGIES 171
13.9 DAIMLER AG 172
13.9.1 COMPANY OVERVIEW 172
13.9.2 FINANCIAL OVERVIEW 173
13.9.3 PRODUCTS OFFERED 173
13.9.4 KEY DEVELOPMENTS 174
13.9.5 SWOT ANALYSIS 174
13.9.6 KEY STRATEGIES 174
13.10 SCANIA AB 175
13.10.1 COMPANY OVERVIEW 175
13.10.2 FINANCIAL OVERVIEW 176
13.10.3 PRODUCTS OFFERED 176
13.10.4 KEY DEVELOPMENTS 177
13.10.5 SWOT ANALYSIS 177
13.10.6 KEY STRATEGIES 177
13.11 CONTINENTAL AG 178
13.11.1 COMPANY OVERVIEW 178
13.11.2 FINANCIAL OVERVIEW 179
13.11.3 PRODUCTS OFFERED 179
13.11.4 KEY DEVELOPMENTS 180
13.11.5 SWOT ANALYSIS 180
13.11.6 KEY STRATEGIES 181
13.12 MAGNA INTERNATIONAL INC. 182
13.12.1 COMPANY OVERVIEW 182
13.12.2 FINANCIAL OVERVIEW 183
13.12.3 PRODUCTS OFFERED 184
13.12.4 KEY DEVELOPMENTS 184
13.12.5 SWOT ANALYSIS 185
13.12.6 KEY STRATEGIES 185
 
13.13 VOLVO 186
13.13.1 COMPANY OVERVIEW 186
13.13.2 FINANCIAL OVERVIEW 187
13.13.3 PRODUCTS OFFERED 187
13.13.4 KEY DEVELOPMENTS 188
13.13.5 SWOT ANALYSIS 188
13.13.6 KEY STRATEGIES 188
13.14 ZF FRIEDRICHSHAFEN AG 189
13.14.1 COMPANY OVERVIEW 189
13.14.2 FINANCIAL OVERVIEW 190
13.14.3 PRODUCTS OFFERED 191
13.14.4 KEY DEVELOPMENTS 191
13.14.5 SWOT ANALYSIS 192
13.14.6 KEY STRATEGIES 192
13.15 NVIDIA 193
13.15.1 COMPANY OVERVIEW 193
13.15.2 FINANCIAL OVERVIEW 194
13.15.3 PRODUCTS OFFERED 194
13.15.4 KEY DEVELOPMENTS 195
13.15.5 SWOT ANALYSIS 195
13.15.6 KEY STRATEGIES 196
14 BIBLIOGRAPHY 197
 

The post Global AI in Transportation Market Research Report Forecast to 2027 first appeared on CRI Report.

The AI in Transportation Market is anticipated to register a significant CAGR of 18.03% during the review period 2023. The global market growth is attributed to the deep-learning concept used in machine learning. Artificial intelligence is changing the transport area.

The AI in transportation includes aiding vehicles, trains, ships, and planes to work independently, and making traffic streams smoother, it is now applied in various transport fields. Past making our lives simpler, it can assist with making all transport modes more secure, cleaner, more astute, and more proficient.

Artificial intelligence-drove independent transport could for example help to lessen the human blunders that are associated with many auto collisions. Nonetheless, with these chances come genuine difficulties, including unseen side-effects and abuse, for example, digital assaults and one-sided choices about transport.

The growing prevalence of road accidents and safety features of AI technology are expected to fuel the global market during the review period. Furthermore, the growing demand for autonomous vehicles with inbuild AI systems is expected to enhance the global market growth in the future. However, the high cost of the AI system and lack of supportive infrastructure is likely to hinder the global market during the study period.

AI in Transportation Market Segment overview

The global AI in the transportation market has been classified not application, offering, learning technology, and application. Based on application the global market is divided into HM in trucks, Autonomous trucks, and Semi-autonomous trucks.

By offering the global AI transportation market has been bifurcated into Hardware and Software.

Based on learning technology the market has been divided into Natural language processing, Deep learning, Computer vision, and Context-awareness. The application segment categorizes the global market into Truck platooning, Autonomous trucks, Semi-autonomous trucks, Human-machine interface, Predictive maintenance, and Precision and mapping.

AI in Transportation Market Regional analysis

Geographic analysis of market are Asia Pacific, Europe, and North America. North America is likely to lead the AI transportation market owing to the growing regulatory developments in this area for safety and compliance.

Additionally, the strong financial position in this region and the rising investments for AI transportation is expected to fuel the regional market growth during the review period. Mexico has registered the largest market owing to the 20 billion investments for AI transportation.

The Asia Pacific is the quickest developing AI in transportation market. The monetary development and developing logistics are answerable for monstrous interest. Japan has registered the largest market for the regional AI transportation market with the growing adoption of AI technology in vehicles.

Europe is notable for its extraordinary demand for commercial transportation due to existing market players in the region. This will add to higher AI in transportation reception rate in Europe. This load of local players will observe higher productivity furring the conjecture time frame. Likewise, different locales will arise during the gauge time frame.

Regional analysis

The key players of the global AI in the transportation market are Daimler, Continental, Volvo, Bosch, Intel, Scania Group, NVIDIA Corporation, Microsoft Corporation, Valeo SA, Alphabet Inc, and MAN SEPACCAR.

COVID 19 Impacts

We are continuously tracking the impact of the COVID-19 pandemic on various industries and verticals within all domains. Our research reports include the same and help you understand the drop and rise, owing to the impact of COVID-19 on the industries.

Also, we help you to identify the gap between the demand and supply of your interested market. Moreover, the report helps you with the analysis, amended government regulations, and many other useful insights.

Artificial Intelligence In Food & Beverages Market to Surge at 43.2% CAGR, which is anticipated to reach USD 165.5 Billion by 2031

The post Global AI in Transportation Market Research Report—Forecast Till 2026 first appeared on CRI Report.

Market Segmentation

• Application – Corrective Action Preventive Action (CAPA) Management, Audit Management, Document Management, Change Management, Training Management, Risk Management, Complaints Management, Regulatory and Compliance Management, Non-Conformances Handling, Supplier Quality Management, Inspection Management, Equipment Management, and Others.
• Deployment Model – On-Cloud, Web-Based, and On-Premises
• End User – Pharmaceutical, Life Sciences, and Biotechnology Companies, Contract Research Organizations, and Others

Regional Segmentation

• North America – U.S. and Canada
• Europe – Germany, U.K., France, Spain, Italy, and Rest-of-Europe
• Asia-Pacific – Japan, China, South Korea, India, Australia and New Zealand, and Rest-of-Asia-Pacific
• Rest-of-the-World – Brazil, Mexico, and Rest of Rest-of-the-World

Market Growth Drivers

• Increasing Cost of Drugs Manufacturing
• Constantly Evolving Regulations
• Growing Technology Adoption in Pharmaceutical Industry

Market Challenges

• Security Concerns Pertaining to On-Cloud Deployment
• Lack of Regulations for Pharmaceutical Quality Management Software

Market Opportunities

• Synergies Between Pharmaceutical Quality Management Software Developers and Local End User
• Development of Solutions Based on Platform-as-a-Service Business Model

Key Companies Profiled

ANTARES VISION S.p.A, AssurX, Inc., AXSource, CLARIVATE PLC., ComplianceQuest, Dassault Systèmes, EtQ Management Consultants, Inc., Honeywell International Inc., Ideagen Plc., IQVIA HOLDINGS INC., LogicGate, Inc, MasterControl, PTC Inc., Sarjen Systems Pvt. Ltd., Qualio, Veeva Systems Inc.

How This Report Can Add Value

Assuming that the reader is a developer of pharmaceutical quality management software, they will be able to do the following:

• Understand their position as compared to some of the key players in the market
• Stay updated with novel technology integration, features, and the latest developments in the market
• Understand the impact of COVID-19 on the adoption of pharmaceutical QMS and the entry barriers as a result of it
• Gain insights into which regions to target globally based on factors such as the technology adoption in the pharmaceutical industry and government established regulations
• To gain insights into end-user perception with respect to the adoption of pharmaceutical QMS systems
• Identify some of the key players in the market and understand their valuable contribution

Key Questions Answered in the Global Pharmaceutical Quality Management Market Report

• How did the COVID-19 pandemic impact the adoption of pharmaceutical quality management software by various pharmaceutical and life sciences companies?
• What is the outlook for the global pharmaceutical quality management software market during the forecast period 2021-2030?
• What are the key trends influencing the global pharmaceutical quality management software market? How will they influence the market in short-, mid-, and long-term duration?
• What is the end user perception toward pharmaceutical quality management software?
• How is the patent landscape for pharmaceutical quality software? Which country/cluster witnessed the highest patent filing from January 2014-June 2021?
• What are the key factors impacting the global pharmaceutical quality management software market? What will be their impact in short-, mid-, and long-term duration?
• What are the key opportunities areas in the global pharmaceutical quality management software market? What is their potential in short-, mid-, and long-term duration?
• What are the key strategies adopted by companies in the global pharmaceutical quality management software market?
• What are the key application areas of the global pharmaceutical quality management software market? Which application is expected to hold the highest growth potential during the forecast period 2021-2030?
• What is the preferred deployment model for the global pharmaceutical quality management software? What is the growth potential of various deployment models present in the market?
• Who are the key end users of pharmaceutical quality software? What is their respective share in the global pharmaceutical quality management software market?
• Which regional market is expected to hold the highest growth potential in the global pharmaceutical quality management software market during the forecast period 2021-2030?
• Which are the key players in the global pharmaceutical quality management software market?

Global Pharmaceutical Quality Management Software Market Industry Overview

The manufacture of drugs and pharmaceutical products passes through various processing steps, each of which requires monitoring to ensure the safety, efficacy, and quality of the manufactured product. Traditional paper-based quality management systems are associated with various drawbacks that can be overcome by software-based quality management systems.

While the pharmaceutical quality management software market is still in its niche stage, the market is anticipated to grow rapidly owing to increasing technology adoption in the pharmaceutical industry, increasing cost of drug manufacturing, and evolving regulations. Currently, a few large pharmaceutical companies have adopted electronic quality management systems in order to automate their processes. With increasing technology adoption in the pharmaceutical industry, going forward, smaller companies are expected to implement software-based systems from the beginning itself.

The COVID-19 pandemic has further accelerated the digital transformation of the pharmaceutical industry. This positive impact is attributed to factors such as travel restrictions and the emerging concept of working and communicating remotely.

The global pharmaceutical quality management software market report highlights that the market was valued at $472.6 million in 2020 and is expected to reach $3,717.7 million by the end of 2030. The market is expected to grow at a CAGR of 22.91% during the forecast period from 2021 to 2030.

Global Pharmaceutical Quality Management Software Market Drivers

The factors driving the growth of the market include the increasing cost of drug manufacturing, constantly evolving regulations, and growing technology adoption in the pharmaceutical industry. Pharmaceutical companies spend up to billions of dollars in the manufacture of a new drug, thereby increasing the demand for automating manufacturing processes. The benefits associated with paper-based quality management systems are overcome by software-based quality management systems, presenting a lucrative market for pharmaceutical quality management software.

Furthermore, increasing demand by pharmaceutical companies to comply with regulatory requirements in order to compete with other players in the market is another factor driving the growth of the market.

Global Pharmaceutical Quality Management Software Market Challenges

The factors restraining the growth of the global pharmaceutical quality management software include security concerns pertaining to on-cloud deployment and the lack of well-established regulations governing pharmaceutical quality management software systems. Data breach incidents cause the pharmaceutical industry to suffer both monetary losses as well as breaches of customer trust. Additionally, while emerging economies in Asia-Pacific and Rest-of-the-World present a huge potential for growth of the pharmaceutical quality management software market, currently, market penetration in the region is challenging owing to factors such as lack of technology integration in the pharmaceutical industry and high upfront costs associated with the purchase of software.

However, the COVID-19 pandemic has countered these challenges and thus, positively impacted the digital transformation of the pharmaceutical industry.

Global Pharmaceutical Quality Management Software Market Opportunities

Synergies between pharmaceutical QMS developers and local end users and the development of solutions based on platform-as-a-service business model hold immense potential for the growth of the global pharmaceutical quality management software market.

The development of solutions based on the platform-as-a-service model is a novel model for running applications such as quality management software wherein a third party maintains the hardware and software infrastructure and delivers it to users over the internet. The software developers are adopting the PaaS solutions due to their simplicity, scalability, and reliability.

Impact of COVID-19 on the Global Pharmaceutical Quality Management Software Market

A paradigm shift in consumer preference from a paper-based management system to a digital cloud-based system has been witnessed in the past decade. The pandemic had a positive impact on the global pharmaceutical quality management software market. This is attributed to government-imposed restrictions during the lockdown and the shift towards working remotely. The realized benefits are expected to influence user perception post-COVID as well. Some of these benefits include:

• Time saving due to systematic categorization and storage of documentation
• Convenient approach to storage, manage and make sense of large amounts of data
• Higher revenue stream, in the long run, owing to cost savings
• Cost savings are realized in areas such as non-conformity and complaints
• Streamlined workflow enabling more efficient communication and collaboration within the organization as well as with clients

Market Segmentation

Global Pharmaceutical Quality Management Software Market (by Deployment Model)

The global pharmaceutical quality management software market has been segmented on the basis of deployment model into three broad categories, namely, on-cloud, web-based, and on-premises.

The on-cloud deployment model offers significant benefits over the traditional on-premises software or paper-based system. With the cloud-based system, it is easier to upgrade to the electronic QMS. The model can be accessed remotely in a highly secured environment. The model is also easily scalable, which allows clients to add more users and storage according to the business needs in the future.

Global Pharmaceutical Quality Management Software Market (by Application)

The global pharmaceutical quality management software market has been segmented on the basis of application into corrective action preventive action (CAPA) management, audit management, document management, change management, training management, risk management, complaints management, regulatory and compliance management, non-conformances handling, supplier quality management, inspection management, equipment management, and others.

Rising technology adoption in the pharmaceutical industry and increasing demand to automate processes to ensure regulatory compliance are major factors driving the growth of various quality management application areas.

Global Pharmaceutical Quality Management Software Market (by End User)

The global pharmaceutical quality management software market has been segmented on the basis of end users into three categories, namely, pharmaceutical, life sciences companies, and biotechnology companies, contract research organizations, and others.

Pharmaceutical, life sciences, and biotechnology companies are the major end users of the global pharmaceutical quality management software market. The adoption of quality management software is increasing in these industries due to the rapid growth of industries and ease of use. With the adoption of pharmaceutical QMS systems, the industries can better control, manage compliance, and assess the products for quality.

Contract research organizations (CRO) are the emerging end-user segment of the global pharmaceutical quality management software market. The trend is driven by both pharmaceutical and biotechnology companies outsourcing certain processes to CROs.

Global Pharmaceutical Quality Management Software Market (by Region)

The different regions covered under the global urgent care apps market include North America, Europe, Asia-Pacific, and Rest-of-the-World.

North America and Europe are two of the largest markets for pharmaceutical quality management software. This is attributed to increasing technology integration in the pharmaceutical industry. While developing countries such as those in Asia-Pacific and the Rest-of-the-World currently offer challenges to pharmaceutical QMS developers to enter the market in these regions, they are expected to register strong growth in the adoption of pharmaceutical quality management software in the near future.

Key Market Players and Competition Synopsis

Some of the key players operating in the market include ANTARES VISION S.p.A, AssurX, Inc., AXSource, CLARIVATE PLC., ComplianceQuest, Dassault Systèmes, EtQ Management Consultants, Inc., Honeywell International Inc., Ideagen Plc., IQVIA HOLDINGS INC., LogicGate, Inc, MasterControl, PTC Inc., Sarjen Systems Pvt. Ltd., Qualio, and Veeva Systems Inc.

In the past few years, the global pharmaceutical quality management software market has witnessed several strategic and technological developments undertaken by the different market players to attain their respective market shares in this emerging domain. Some of the strategies covered in this segment are funding activities, mergers and acquisitions (M&As), partnerships, alliances, and business expansion, regulatory and legal activities, and new offerings. The preferred strategy for companies has been partnerships followed by funding activities.

The post Pharmaceutical Quality Management Software Market – A Global and Regional Analysis: Focus on Deployment Models, Applications, End Users, and Country-Wise Analysis – Analysis and Forecast, 2021-2030 first appeared on CRI Report.