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 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:
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:
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:
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%
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)
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.
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 YEARS CONSIDERED IN THE STUDY
1.4 CURRENCY
1.5 PACKAGE SIZE
1.6 LIMITATIONS
1.7 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.2 SECONDARY DATA
2.2.1 KEY SECONDARY SOURCES
2.2.2 KEY DATA FROM SECONDARY SOURCES
2.3 PRIMARY DATA
2.3.1 SAMPLING TECHNIQUES & DATA COLLECTION METHODS
2.3.2 PRIMARY PARTICIPANTS
2.4 FACTOR ANALYSIS
2.4.1 DEMAND-SIDE ANALYSIS
2.4.1.1 Traffic control and reduced congestion
2.4.1.2 Increasing number of ADAS features in trucks with the increasing level of automation
2.4.2 SUPPLY-SIDE ANALYSIS
2.4.2.1 Technological development - sensor fusion
2.4.2.2 Highway autopilot
2.5 MARKET SIZE ESTIMATION
2.5.1 TOP-DOWN APPROACH
2.5.2 MARKET BREAKDOWN AND DATA TRIANGULATION
2.5.3 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET
4.2 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION
4.3 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING
4.4 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY
4.5 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS
4.6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION
4.7 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Safety and security
5.2.1.2 Operating cost efficiency
5.2.2 RESTRAINTS
5.2.2.1 High cost of artificial intelligence systems
5.2.2.2 Infrastructure cost
5.2.3 OPPORTUNITIES
5.2.3.1 Truck platooning
5.2.3.2 Increasing level of autonomy (Self-driving trucks)
5.2.4 CHALLENGES
5.2.4.1 Machine learning is data driven (public acceptance)
5.2.4.2 Cybersecurity and data privacy
6 TECHNOLOGICAL OVERVIEW
6.1 INTRODUCTION
6.2 CURRENT USE CASES IN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET
6.2.1 HUMAN–MACHINE INTERFACE
6.2.2 PREDICTIVE MAINTENANCE
6.2.3 AUTONOMOUS TRUCK
6.2.4 TRUCK PLATOONING
6.2.5 ADVANCED DRIVER ASSISTANCE SYSTEM
6.2.6 PRECISION AND MAPPING
7 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY
[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
7.2 COMPUTER VISION
7.2.1 BY OFFERING
7.2.2 BY APPLICATION
7.2.3 BY REGION
7.3 CONTEXT AWARENESS
7.3.1 BY OFFERING
7.3.2 BY APPLICATION
7.3.3 BY REGION
7.4 DEEP LEARNING
7.4.1 BY OFFERING
7.4.2 BY APPLICATION
7.4.3 BY REGION
7.5 NATURAL LANGUAGE PROCESSING
7.5.1 BY OFFERING
7.5.2 BY REGION
8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS
[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
8.2 DATA MINING
8.2.1 BY APPLICATION
8.2.2 BY REGION
8.3 IMAGE RECOGNITION
8.3.1 BY APPLICATION
8.3.2 BY REGION
8.4 SIGNAL RECOGNITION
8.4.1 BY APPLICATION
8.4.2 BY REGION
9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION
[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
9.2 AUTONOMOUS TRUCKS
9.2.1 BY PROCESS
9.2.2 BY MACHINE LEARNING TECHNOLOGY
9.2.3 BY REGION
9.3 HMI IN TRUCKS
9.3.1 BY PROCESS
9.3.2 BY MACHINE LEARNING TECHNOLOGY
9.3.3 BY REGION
9.4 SEMI-AUTONOMOUS TRUCKS
9.4.1 BY PROCESS
9.4.2 BY MACHINE LEARNING TECHNOLOGY
9.4.3 BY REGION
10 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION
[Note: The Chapter is Further Segmented By Offering (Hardware & Software), Region (Asia Oceania. Europe, North America, and RoW)]
10.1 INTRODUCTION
10.1.1 BY OFFERING
10.1.2 BY REGION
10.1.2.1 Asia Oceania
10.1.2.2 Europe
10.1.2.3 North America
10.1.2.4 Rest of the World
11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING
[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
11.2 HARDWARE
11.2.1 BY COMPUTING TYPE
11.2.2 BY MACHINE LEARNING TECHNOLOGY
11.2.3 BY REGION
11.3 SOFTWARE
11.3.1 BY COMPUTING TYPE
11.3.2 BY MACHINE LEARNING TECHNOLOGY
11.3.3 BY REGION
12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION
[Note: The Chapter is Further Segmented By Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks)
12.1 INTRODUCTION
12.2 ASIA OCEANIA
12.2.1 CHINA
12.2.2 INDIA
12.2.3 JAPAN
12.2.4 SOUTH KOREA
12.2.5 REST OF ASIA OCEANIA
12.3 EUROPE
12.3.1 FRANCE
12.3.2 GERMANY
12.3.3 UK
12.3.4 REST OF EUROPE
12.4 NORTH AMERICA
12.4.1 CANADA
12.4.2 MEXICO
12.4.3 US
12.5 REST OF THE WORLD
12.5.1 BRAZIL
12.5.2 RUSSIA
12.5.3 ROW OTHERS
13 COMPETITIVE LANDSCAPE
13.1 INTRODUCTION
13.2 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION: MARKET RANKING ANALYSIS
13.2.1 MARKET RANKING ANALYSIS OF OEMS
13.2.2 MARKET RANKING ANALYSIS OF TIER-I SUPPLIERS
13.2.3 MARKET RANKING ANALYSIS OF SOFTWARE/SERVICE PROVIDERS
13.3 COMPETITIVE SITUATION & TRENDS
13.3.1 COMPETITIVE SITUATION & TRENDS: SUPPLY CONTRACTS/ PARTNERSHIPS/JOINT VENTURES WAS THE MOST WIDELY ADOPTED STRATEGY
13.3.2 SUPPLY CONTRACTS/PARTNERSHIPS/JOINT VENTURES
13.3.3 NEW PRODUCT DEVELOPMENTS
13.3.4 EXPANSIONS
13.3.5 MERGERS & ACQUISITIONS
14 COMPANY PROFILES
(Overview, Services offered, Strength of service portfolio, Business strategy excellence, Recent developments)*
14.1 ORIGINAL EQUIPMENT MANUFACTURERS (OEMS)
14.1.1 VOLVO
14.1.2 DAIMLER
14.1.3 SCANIA
14.1.4 PACCAR
14.1.5 MAN
14.2 TIER-I SUPPLIERS
14.2.1 CONTINENTAL
14.2.2 MAGNA
14.2.3 BOSCH
14.2.4 VALEO
14.2.5 ZF
14.3 SOFTWARE SUPPLIERS
14.3.1 NVIDIA
14.3.2 ALPHABET
14.3.3 INTEL
14.3.4 MICROSOFT
14.4 START-UP’S
14.4.1 PELOTON
14.4.1.1 Funding Details
14.4.2 NAUTO
14.4.2.1 Funding Details
14.4.3 XEVO
14.4.3.1 Funding Details
14.4.4 ZONAR
14.4.4.1 Funding Details
*Details on Overview, Services offered, Strength of service portfolio, Business strategy excellence, Recent developments might not be captured in case of unlisted companies.
15 APPENDIX
15.1 INSIGHTS OF INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
15.5 AVAILABLE CUSTOMIZATIONS
15.5.1 ARTIFICIAL INTELLIGENCE MARKET IN BUSES, BY APPLICATION
15.5.1.1 Semi-Autonomous Buses
15.5.1.2 Autonomous Buses
15.5.1.3 HMI in Buses
15.5.2 ARTIFICIAL INTELLIGENCE MARKET IN BUSES, BY REGION
15.5.2.1 Asia Oceania
15.5.2.2 Europe
15.5.2.3 North America
15.5.2.4 RoW
15.5.3 ARTIFICIAL INTELLIGENCE MARKET IN FLEETS, BY REGION
15.5.3.1 Asia Oceania
15.5.3.2 Europe
15.5.3.3 North America
15.5.3.4 RoW
15.6 RELATED REPORTS
15.7 AUTHOR DETAILS
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 YEARS CONSIDERED IN THE STUDY
1.4 CURRENCY
1.5 PACKAGE SIZE
1.6 LIMITATIONS
1.7 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.2 SECONDARY DATA
2.2.1 KEY SECONDARY SOURCES
2.2.2 KEY DATA FROM SECONDARY SOURCES
2.3 PRIMARY DATA
2.3.1 SAMPLING TECHNIQUES & DATA COLLECTION METHODS
2.3.2 PRIMARY PARTICIPANTS
2.4 FACTOR ANALYSIS
2.4.1 DEMAND-SIDE ANALYSIS
2.4.1.1 Traffic control and reduced congestion
2.4.1.2 Increasing number of ADAS features in trucks with the increasing level of automation
2.4.2 SUPPLY-SIDE ANALYSIS
2.4.2.1 Technological development - sensor fusion
2.4.2.2 Highway autopilot
2.5 MARKET SIZE ESTIMATION
2.5.1 TOP-DOWN APPROACH
2.5.2 MARKET BREAKDOWN AND DATA TRIANGULATION
2.5.3 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET
4.2 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION
4.3 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING
4.4 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY
4.5 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS
4.6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION
4.7 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Safety and security
5.2.1.2 Operating cost efficiency
5.2.2 RESTRAINTS
5.2.2.1 High cost of artificial intelligence systems
5.2.2.2 Infrastructure cost
5.2.3 OPPORTUNITIES
5.2.3.1 Truck platooning
5.2.3.2 Increasing level of autonomy (Self-driving trucks)
5.2.4 CHALLENGES
5.2.4.1 Machine learning is data driven (public acceptance)
5.2.4.2 Cybersecurity and data privacy
6 TECHNOLOGICAL OVERVIEW
6.1 INTRODUCTION
6.2 CURRENT USE CASES IN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET
6.2.1 HUMAN–MACHINE INTERFACE
6.2.2 PREDICTIVE MAINTENANCE
6.2.3 AUTONOMOUS TRUCK
6.2.4 TRUCK PLATOONING
6.2.5 ADVANCED DRIVER ASSISTANCE SYSTEM
6.2.6 PRECISION AND MAPPING
7 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY
[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
7.2 COMPUTER VISION
7.2.1 BY OFFERING
7.2.2 BY APPLICATION
7.2.3 BY REGION
7.3 CONTEXT AWARENESS
7.3.1 BY OFFERING
7.3.2 BY APPLICATION
7.3.3 BY REGION
7.4 DEEP LEARNING
7.4.1 BY OFFERING
7.4.2 BY APPLICATION
7.4.3 BY REGION
7.5 NATURAL LANGUAGE PROCESSING
7.5.1 BY OFFERING
7.5.2 BY REGION
8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS
[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
8.2 DATA MINING
8.2.1 BY APPLICATION
8.2.2 BY REGION
8.3 IMAGE RECOGNITION
8.3.1 BY APPLICATION
8.3.2 BY REGION
8.4 SIGNAL RECOGNITION
8.4.1 BY APPLICATION
8.4.2 BY REGION
9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION
[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
9.2 AUTONOMOUS TRUCKS
9.2.1 BY PROCESS
9.2.2 BY MACHINE LEARNING TECHNOLOGY
9.2.3 BY REGION
9.3 HMI IN TRUCKS
9.3.1 BY PROCESS
9.3.2 BY MACHINE LEARNING TECHNOLOGY
9.3.3 BY REGION
9.4 SEMI-AUTONOMOUS TRUCKS
9.4.1 BY PROCESS
9.4.2 BY MACHINE LEARNING TECHNOLOGY
9.4.3 BY REGION
10 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION
[Note: The Chapter is Further Segmented By Offering (Hardware & Software), Region (Asia Oceania. Europe, North America, and RoW)]
10.1 INTRODUCTION
10.1.1 BY OFFERING
10.1.2 BY REGION
10.1.2.1 Asia Oceania
10.1.2.2 Europe
10.1.2.3 North America
10.1.2.4 Rest of the World
11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING
[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
11.2 HARDWARE
11.2.1 BY COMPUTING TYPE
11.2.2 BY MACHINE LEARNING TECHNOLOGY
11.2.3 BY REGION
11.3 SOFTWARE
11.3.1 BY COMPUTING TYPE
11.3.2 BY MACHINE LEARNING TECHNOLOGY
11.3.3 BY REGION
12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION
[Note: The Chapter is Further Segmented By Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks)
12.1 INTRODUCTION
12.2 ASIA OCEANIA
12.2.1 CHINA
12.2.2 INDIA
12.2.3 JAPAN
12.2.4 SOUTH KOREA
12.2.5 REST OF ASIA OCEANIA
12.3 EUROPE
12.3.1 FRANCE
12.3.2 GERMANY
12.3.3 UK
12.3.4 REST OF EUROPE
12.4 NORTH AMERICA
12.4.1 CANADA
12.4.2 MEXICO
12.4.3 US
12.5 REST OF THE WORLD
12.5.1 BRAZIL
12.5.2 RUSSIA
12.5.3 ROW OTHERS
13 COMPETITIVE LANDSCAPE
13.1 INTRODUCTION
13.2 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION: MARKET RANKING ANALYSIS
13.2.1 MARKET RANKING ANALYSIS OF OEMS
13.2.2 MARKET RANKING ANALYSIS OF TIER-I SUPPLIERS
13.2.3 MARKET RANKING ANALYSIS OF SOFTWARE/SERVICE PROVIDERS
13.3 COMPETITIVE SITUATION & TRENDS
13.3.1 COMPETITIVE SITUATION & TRENDS: SUPPLY CONTRACTS/ PARTNERSHIPS/JOINT VENTURES WAS THE MOST WIDELY ADOPTED STRATEGY
13.3.2 SUPPLY CONTRACTS/PARTNERSHIPS/JOINT VENTURES
13.3.3 NEW PRODUCT DEVELOPMENTS
13.3.4 EXPANSIONS
13.3.5 MERGERS & ACQUISITIONS
14 COMPANY PROFILES
(Overview, Services offered, Strength of service portfolio, Business strategy excellence, Recent developments)*
14.1 ORIGINAL EQUIPMENT MANUFACTURERS (OEMS)
14.1.1 VOLVO
14.1.2 DAIMLER
14.1.3 SCANIA
14.1.4 PACCAR
14.1.5 MAN
14.2 TIER-I SUPPLIERS
14.2.1 CONTINENTAL
14.2.2 MAGNA
14.2.3 BOSCH
14.2.4 VALEO
14.2.5 ZF
14.3 SOFTWARE SUPPLIERS
14.3.1 NVIDIA
14.3.2 ALPHABET
14.3.3 INTEL
14.3.4 MICROSOFT
14.4 START-UP’S
14.4.1 PELOTON
14.4.1.1 Funding Details
14.4.2 NAUTO
14.4.2.1 Funding Details
14.4.3 XEVO
14.4.3.1 Funding Details
14.4.4 ZONAR
14.4.4.1 Funding Details
*Details on Overview, Services offered, Strength of service portfolio, Business strategy excellence, Recent developments might not be captured in case of unlisted companies.
15 APPENDIX
15.1 INSIGHTS OF INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
15.5 AVAILABLE CUSTOMIZATIONS
15.5.1 ARTIFICIAL INTELLIGENCE MARKET IN BUSES, BY APPLICATION
15.5.1.1 Semi-Autonomous Buses
15.5.1.2 Autonomous Buses
15.5.1.3 HMI in Buses
15.5.2 ARTIFICIAL INTELLIGENCE MARKET IN BUSES, BY REGION
15.5.2.1 Asia Oceania
15.5.2.2 Europe
15.5.2.3 North America
15.5.2.4 RoW
15.5.3 ARTIFICIAL INTELLIGENCE MARKET IN FLEETS, BY REGION
15.5.3.1 Asia Oceania
15.5.3.2 Europe
15.5.3.3 North America
15.5.3.4 RoW
15.6 RELATED REPORTS
15.7 AUTHOR DETAILS
LIST OF TABLES
TABLE 1 CURRENCY EXCHANGE RATES (W.R.T. USD)
TABLE 2 WORLD’S MOST CONGESTED COUNTRIES, 2016
TABLE 3 US DEPARTMENT OF TRANSPORTATION'S FATALITY ANALYSIS REPORTING SYSTEM (FARS).
TABLE 4 HOURS OF SERVICE REGULATIONS
TABLE 5 KEY PLAYERS IN THE GLOBAL TRUCK PLATOONING MARKET
TABLE 6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 7 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY REGION, 2016–2030 (USD MILLION)
TABLE 10 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY REGION, 2016–2030 (USD MILLION)
TABLE 12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY REGION, 2016–2030 (USD MILLION)
TABLE 13 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 14 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 15 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING, BY REGION, 2016–2030 (USD MILLION)
TABLE 16 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR NATURAL LANGUAGE PROCESSING, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 17 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2016–2030 (USD MILLION)
TABLE 18 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2016–2030 (USD MILLION)
TABLE 19 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DATA MINING, BY REGION, 2016–2030 (USD MILLION)
TABLE 20 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DATA MINING, BY REGION, 2016–2030 (USD MILLION)
TABLE 21 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR IMAGE RECOGNITION, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 22 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR IMAGE RECOGNITION, BY REGION, 2016–2030 (USD MILLION)
TABLE 23 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SIGNAL RECOGNITION, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 24 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SIGNAL RECOGNITION, BY REGION, 2016–2030 (USD MILLION)
TABLE 25 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 26 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY PROCESS, 2016–2030 (USD MILLION)
TABLE 27 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 28 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY REGION, 2016–2030 (USD MILLION)
TABLE 29 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 30 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 31 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS, BY REGION, 2016–2030 (USD MILLION)
TABLE 32 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY PROCESS, 2016–2030 (USD MILLION)
TABLE 33 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 34 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY REGION, 2016–2030 (USD MILLION)
TABLE 35 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 36 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION, 2016–2030 (‘000 UNITS)
TABLE 37 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION, 2016–2030 (USD MILLION)
TABLE 38 ASIA OCEANIA: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 39 EUROPE: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 40 NORTH AMERICA: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 41 REST OF THE WORLD: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 42 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 43 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY COMPUTING TYPE, 2016–2030 (USD MILLION)
TABLE 44 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 45 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY REGION, 2016–2030 (USD MILLION)
TABLE 46 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY COMPUTING TYPE, 2016–2030 (USD MILLION)
TABLE 47 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 48 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY REGION, 2016–2030 (USD MILLION)
TABLE 49 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION, 2016–2030 (USD MILLION)
TABLE 50 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 51 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 52 CHINA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 53 INDIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 54 JAPAN: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 55 SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 56 REST OF ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 57 EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 58 EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 59 FRANCE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 60 GERMANY: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 61 UK: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 62 REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 63 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 64 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 65 CANADA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 66 MEXICO: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 67 US: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 68 REST OF THE WORLD: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 69 REST OF THE WORLD: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 70 BRAZIL: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 71 RUSSIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 72 ROW OTHERS: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 73 SUPPLY CONTRACTS/PARTNERSHIPS/JOINT VENTURES, 2017
TABLE 74 NEW PRODUCT DEVELOPMENTS, 2017
TABLE 75 EXPANSIONS, 2016–2017
TABLE 76 MERGERS & ACQUISITIONS, 2016–2017
TABLE 1 CURRENCY EXCHANGE RATES (W.R.T. USD)
TABLE 2 WORLD’S MOST CONGESTED COUNTRIES, 2016
TABLE 3 US DEPARTMENT OF TRANSPORTATION'S FATALITY ANALYSIS REPORTING SYSTEM (FARS).
TABLE 4 HOURS OF SERVICE REGULATIONS
TABLE 5 KEY PLAYERS IN THE GLOBAL TRUCK PLATOONING MARKET
TABLE 6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 7 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR COMPUTER VISION, BY REGION, 2016–2030 (USD MILLION)
TABLE 10 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY REGION, 2016–2030 (USD MILLION)
TABLE 12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR CONTEXT AWARENESS, BY REGION, 2016–2030 (USD MILLION)
TABLE 13 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 14 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 15 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DEEP LEARNING, BY REGION, 2016–2030 (USD MILLION)
TABLE 16 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR NATURAL LANGUAGE PROCESSING, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 17 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2016–2030 (USD MILLION)
TABLE 18 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2016–2030 (USD MILLION)
TABLE 19 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DATA MINING, BY REGION, 2016–2030 (USD MILLION)
TABLE 20 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR DATA MINING, BY REGION, 2016–2030 (USD MILLION)
TABLE 21 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR IMAGE RECOGNITION, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 22 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR IMAGE RECOGNITION, BY REGION, 2016–2030 (USD MILLION)
TABLE 23 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SIGNAL RECOGNITION, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 24 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SIGNAL RECOGNITION, BY REGION, 2016–2030 (USD MILLION)
TABLE 25 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 26 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY PROCESS, 2016–2030 (USD MILLION)
TABLE 27 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 28 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR AUTONOMOUS TRUCKS, BY REGION, 2016–2030 (USD MILLION)
TABLE 29 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 30 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 31 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HMI IN TRUCKS, BY REGION, 2016–2030 (USD MILLION)
TABLE 32 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY PROCESS, 2016–2030 (USD MILLION)
TABLE 33 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 34 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SEMI-AUTONOMOUS TRUCKS, BY REGION, 2016–2030 (USD MILLION)
TABLE 35 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 36 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION, 2016–2030 (‘000 UNITS)
TABLE 37 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION, 2016–2030 (USD MILLION)
TABLE 38 ASIA OCEANIA: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 39 EUROPE: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 40 NORTH AMERICA: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 41 REST OF THE WORLD: TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 42 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING, 2016–2030 (USD MILLION)
TABLE 43 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY COMPUTING TYPE, 2016–2030 (USD MILLION)
TABLE 44 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 45 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY REGION, 2016–2030 (USD MILLION)
TABLE 46 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY COMPUTING TYPE, 2016–2030 (USD MILLION)
TABLE 47 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY MACHINE LEARNING TECHNOLOGY, 2016–2030 (USD MILLION)
TABLE 48 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY REGION, 2016–2030 (USD MILLION)
TABLE 49 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION, 2016–2030 (USD MILLION)
TABLE 50 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 51 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 52 CHINA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 53 INDIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 54 JAPAN: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 55 SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 56 REST OF ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 57 EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 58 EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 59 FRANCE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 60 GERMANY: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 61 UK: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 62 REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 63 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 64 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 65 CANADA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 66 MEXICO: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 67 US: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 68 REST OF THE WORLD: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY COUNTRY, 2016–2030 (USD MILLION)
TABLE 69 REST OF THE WORLD: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 70 BRAZIL: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 71 RUSSIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 72 ROW OTHERS: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2016–2030 (USD MILLION)
TABLE 73 SUPPLY CONTRACTS/PARTNERSHIPS/JOINT VENTURES, 2017
TABLE 74 NEW PRODUCT DEVELOPMENTS, 2017
TABLE 75 EXPANSIONS, 2016–2017
TABLE 76 MERGERS & ACQUISITIONS, 2016–2017
LIST OF FIGURES
FIGURE 1 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: RESEARCH DESIGN
FIGURE 2 RESEARCH DESIGN MODEL
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS
FIGURE 4 LEVEL OF AUTOMATION WITH ADDITION OF ADAS FEATURES
FIGURE 5 SENSOR FUSION
FIGURE 6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION: TOP-DOWN APPROACH
FIGURE 7 DATA TRIANGULATION
FIGURE 8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION, 2017 VS 2030 (USD MILLION)
FIGURE 9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2017 VS 2030 (USD MILLION)
FIGURE 10 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET GROWTH, BY COUNTRY, 2017-2030 (USD MILLION)
FIGURE 11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2017 VS 2030 (USD MILLION)
FIGURE 12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING, 2016 - 2030 (USD MILLION)
FIGURE 13 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2017 VS 2022 (USD MILLION)
FIGURE 14 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION, 2019 VS 2030 (USD MILLION)
FIGURE 15 INCREASING FOCUS TOWARD SAFETY, SECURITY, & OPERATING COST EFFICIENCY TO DRIVE THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET DURING THE FORECAST PERIOD
FIGURE 16 NORTH AMERICA TO HOLD THE LARGEST SHARE IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2017 VS 2030 (USD MILLION)
FIGURE 17 SOFTWARE SEGMENT TO HOLD THE LARGEST MARKET SIZE IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION, 2016—2030 (USD MILLION)
FIGURE 18 DEEP LEARNING TECHNOLOGY TO LEAD IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2017 VS 2030 (USD MILLION)
FIGURE 19 SIGNAL RECOGNITION PROCESS TO LEAD THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2016—2030 (USD MILLION)
FIGURE 20 SEMI-AUTONOMOUS TRUCKS TO HAVE THE LARGEST SHARE IN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2025 VS 2030 (USD MILLION)
FIGURE 21 NORTH AMERICA REGION TO HAVE THE LARGEST MARKET SIZE IN THE TRUCK PLATOONING FOR ARTIFICIAL INTELLIGENCE MARKET, 2019—2030 (USD MILLION)
FIGURE 22 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: MARKET DYNAMICS
FIGURE 23 ADOPTION TREND OF AUTONOMOUS VEHICLES
FIGURE 24 TRUCK PLATOONING: YEARLY CO2 REDUCTION, 2020-2035
FIGURE 25 LEVEL OF AUTOMATION
FIGURE 26 ARTIFICIAL INTELLIGENCE (AI) ADOPTION
FIGURE 27 ARTIFICIAL INTELLIGENCE ENABLED TRANSPORTATION
FIGURE 28 ROLE OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION INDUSTRY
FIGURE 29 SAE & NHTSA VEHICLE AUTOMATION LEVELS
FIGURE 30 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2017 VS 2030
FIGURE 31 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2017 VS 2030 (USD MILLION)
FIGURE 32 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2017 VS 2030
FIGURE 33 NORTH AMERICA IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN THE TRUCK PLATOONING MARKET DURING THE FORECAST PERIOD, (USD MILLION)
FIGURE 34 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING, 2017 VS 2030
FIGURE 35 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY COMPUTING TYPE, 2017 VS 2030
FIGURE 36 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY COMPUTING TYPE, 2017 VS 2030
FIGURE 37 REGION-WISE SNAPSHOT OF THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: NORTH AMERICA ACCOUNTS FOR THE LARGEST MARKET SHARE, 2017 VS 2030
FIGURE 38 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SNAPSHOT
FIGURE 39 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SNAPSHOT
FIGURE 40 VOLVO: COMPANY SNAPSHOT
FIGURE 41 DAIMLER: COMPANY SNAPSHOT
FIGURE 42 SCANIA: COMPANY SNAPSHOT
FIGURE 43 PACCAR: COMPANY SNAPSHOT
FIGURE 44 MAN: COMPANY SNAPSHOT
FIGURE 45 CONTINENTAL: COMPANY SNAPSHOT
FIGURE 46 MAGNA: COMPANY SNAPSHOT
FIGURE 47 BOSCH: COMPANY SNAPSHOT
FIGURE 48 VALEO: COMPANY SNAPSHOT
FIGURE 49 ZF: COMPANY SNAPSHOT
FIGURE 50 NVIDIA: COMPANY SNAPSHOT
FIGURE 51 ALPHABET: COMPANY SNAPSHOT
FIGURE 52 INTEL: COMPANY SNAPSHOT
FIGURE 53 MICROSOFT: COMPANY SNAPSHOT
FIGURE 1 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: RESEARCH DESIGN
FIGURE 2 RESEARCH DESIGN MODEL
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS
FIGURE 4 LEVEL OF AUTOMATION WITH ADDITION OF ADAS FEATURES
FIGURE 5 SENSOR FUSION
FIGURE 6 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION: TOP-DOWN APPROACH
FIGURE 7 DATA TRIANGULATION
FIGURE 8 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY REGION, 2017 VS 2030 (USD MILLION)
FIGURE 9 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2017 VS 2030 (USD MILLION)
FIGURE 10 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET GROWTH, BY COUNTRY, 2017-2030 (USD MILLION)
FIGURE 11 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2017 VS 2030 (USD MILLION)
FIGURE 12 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING, 2016 - 2030 (USD MILLION)
FIGURE 13 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2017 VS 2022 (USD MILLION)
FIGURE 14 TRUCK PLATOONING MARKET FOR ARTIFICIAL INTELLIGENCE, BY REGION, 2019 VS 2030 (USD MILLION)
FIGURE 15 INCREASING FOCUS TOWARD SAFETY, SECURITY, & OPERATING COST EFFICIENCY TO DRIVE THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET DURING THE FORECAST PERIOD
FIGURE 16 NORTH AMERICA TO HOLD THE LARGEST SHARE IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2017 VS 2030 (USD MILLION)
FIGURE 17 SOFTWARE SEGMENT TO HOLD THE LARGEST MARKET SIZE IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION, 2016—2030 (USD MILLION)
FIGURE 18 DEEP LEARNING TECHNOLOGY TO LEAD IN THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2017 VS 2030 (USD MILLION)
FIGURE 19 SIGNAL RECOGNITION PROCESS TO LEAD THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2016—2030 (USD MILLION)
FIGURE 20 SEMI-AUTONOMOUS TRUCKS TO HAVE THE LARGEST SHARE IN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, 2025 VS 2030 (USD MILLION)
FIGURE 21 NORTH AMERICA REGION TO HAVE THE LARGEST MARKET SIZE IN THE TRUCK PLATOONING FOR ARTIFICIAL INTELLIGENCE MARKET, 2019—2030 (USD MILLION)
FIGURE 22 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: MARKET DYNAMICS
FIGURE 23 ADOPTION TREND OF AUTONOMOUS VEHICLES
FIGURE 24 TRUCK PLATOONING: YEARLY CO2 REDUCTION, 2020-2035
FIGURE 25 LEVEL OF AUTOMATION
FIGURE 26 ARTIFICIAL INTELLIGENCE (AI) ADOPTION
FIGURE 27 ARTIFICIAL INTELLIGENCE ENABLED TRANSPORTATION
FIGURE 28 ROLE OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION INDUSTRY
FIGURE 29 SAE & NHTSA VEHICLE AUTOMATION LEVELS
FIGURE 30 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY MACHINE LEARNING TECHNOLOGY, 2017 VS 2030
FIGURE 31 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY PROCESS, 2017 VS 2030 (USD MILLION)
FIGURE 32 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY APPLICATION, 2017 VS 2030
FIGURE 33 NORTH AMERICA IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN THE TRUCK PLATOONING MARKET DURING THE FORECAST PERIOD, (USD MILLION)
FIGURE 34 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, BY OFFERING, 2017 VS 2030
FIGURE 35 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR HARDWARE, BY COMPUTING TYPE, 2017 VS 2030
FIGURE 36 ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET FOR SOFTWARE, BY COMPUTING TYPE, 2017 VS 2030
FIGURE 37 REGION-WISE SNAPSHOT OF THE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET: NORTH AMERICA ACCOUNTS FOR THE LARGEST MARKET SHARE, 2017 VS 2030
FIGURE 38 ASIA OCEANIA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SNAPSHOT
FIGURE 39 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SNAPSHOT
FIGURE 40 VOLVO: COMPANY SNAPSHOT
FIGURE 41 DAIMLER: COMPANY SNAPSHOT
FIGURE 42 SCANIA: COMPANY SNAPSHOT
FIGURE 43 PACCAR: COMPANY SNAPSHOT
FIGURE 44 MAN: COMPANY SNAPSHOT
FIGURE 45 CONTINENTAL: COMPANY SNAPSHOT
FIGURE 46 MAGNA: COMPANY SNAPSHOT
FIGURE 47 BOSCH: COMPANY SNAPSHOT
FIGURE 48 VALEO: COMPANY SNAPSHOT
FIGURE 49 ZF: COMPANY SNAPSHOT
FIGURE 50 NVIDIA: COMPANY SNAPSHOT
FIGURE 51 ALPHABET: COMPANY SNAPSHOT
FIGURE 52 INTEL: COMPANY SNAPSHOT
FIGURE 53 MICROSOFT: COMPANY SNAPSHOT
