Global AI Market for the Automotive & Transportation Industry, Forecast to 2029: Go-to-Market Strategies, Start-up Landscape, Value & Supply Chain Analysis, Patent Landscape

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Feb 10, 2020, 08:00 ET

DUBLIN, Feb. 10, 2020 /PRNewswire/ -- The "Global Artificial Intelligence Market for Automotive and Transportation Industry: Focus on Application, Vehicle Type, Level of Autonomy Type, Patent Analysis, Supply Chain, and Country-Level Analysis - Analysis and Forecast, 2019-2029" report has been added to ResearchAndMarkets.com's offering.

According to the report, the AI market for automotive and transportation industry was valued at $19.17 billion in 2018 and is projected to grow at a CAGR of 13.12% during the forecast period from 2019 to 2029.

The growth in the market is attributable to the ongoing demand for innovative and technologically advanced automotive solutions. Moreover, intelligent solutions that reduce the incidences of human mistakes while driving, along with providing additional features for enhancing ease-of-driving, have driven the market.

The increasing demand for ADAS standards in modern vehicles has led to the surging demand for various AI-based applications such as HMI, driver authentication, and driver monitoring. Automotive OEMs have invested in developing level 4 and level 5 autonomous vehicles, which in turn, can increase the AI-based processing chips sales. Moreover, huge investments by various leading automotive OEMs into developing integrated AI-based solutions for their vehicles are further propelling the growth of the artificial intelligence market for the automotive and transportation industry.

However, certain technical challenges such as technical snags and software bugs in AI-based system, along with vehicle data privacy and cybersecurity concerns, are restraining the growth of the global artificial intelligence market for automotive and transportation industry.

Expert Quote

The Asia-Pacific region is expected to witness the fastest growth in the global artificial intelligence market for the automotive and transportation industry. The artificial intelligence market for the automotive and transportation industry in Asia-Pacific is expected to grow at a significant CAGR during the forecast period, 2019-2029. The Asia-Pacific region generated the fastest growth rate due to the increased adoption of automotive technologies in this region.

Research Scope

The research study focuses on putting forward a clear picture of the current consumption and future growth potential of different AI-based solutions for the automotive and transportation industry. While highlighting the key driving and restraining forces for this market, the report also provides a detailed summary of the global artificial intelligence market for the automotive and transportation industry.

It also includes information on the key participants involved in the industry in the relevant sections. The most commonly adopted strategy for developing a better hold on the market has been partnerships, joint ventures, and collaborations during the period from January 2016 to September 2019.

Market Segmentation

The global artificial intelligence market for the automotive and transportation industry encompasses four major types of vehicles which are passenger vehicles, light commercial vehicles, heavy trucks, and heavy buses. The passenger vehicle segment currently holds the highest share in the global artificial intelligence market for the automotive and transportation industry, as there has been an increase of AI-based solutions being integrated into such vehicles from both the OEM and the aftermarket.

The global artificial intelligence market for the automotive and transportation industry is segmented by level of autonomy in vehicles such as level 1, level 2, level 3, level 4, and level 5. In terms of level of autonomy, the level 1 segment currently holds the largest market share in the current scenario.

Further, the report includes an exhaustive region-wise analysis that includes analyses of North America, Europe, Asia-Pacific (APAC), Africa, and Latin America. Each region details the individual push-and-pull forces in addition to the information on the key players from that region.

Key Companies in the Global Industry

Some of the key players operating in the global artificial intelligence market for automotive and transportation industry for electric vehicles are Continental AG, Denso Corporation, Nvidia Corporation, Intel Corporation, Harman International, AI Motive, Argo AI, Tata Elxsi, Siemens, Thales Group, CarVi, Harman International, Valeo, Sighthound, Inc., Optalert, Orbcomm Inc., Telegra d.o.o., Cerence Inc., Smart Eye AB, Affectiva, and Visteon Corporation.

Key Questions Answered in the Report

Which global factors are expected to impact the artificial intelligence market for the automotive and transportation industry in the future?
What is the estimated size of the global artificial intelligence market for the automotive and transportation industry in terms of value from 2018 to 2029?
How much value is expected to be generated by the following segments during the forecast period, 2019-2029:

On the basis of application - human-machine interface, driver monitoring, driver authentication, autonomous driving processing chips, and intelligent traffic management system
On the basis of the type of vehicles passenger vehicles, light commercial vehicles, heavy trucks, and heavy buses
On the basis of the type of components - hardware and software
On the basis region - North America, Europe, Asia-Pacific, Africa, and Latin America

Which autonomous driving level is expected to be dominant in the forecast period 2019-2029?
Which companies are the major players in the artificial intelligence market for the automotive and transportation industry? What are the key market strategies being adopted by them?

Key Topics Covered

Executive Summary

1 Market Overview
1.1 Artificial Intelligence: Overview
1.1.1 Timeline: Emergence and Evolution of Artificial Intelligence in the Automotive and Transportation Industry
1.1.2 Major Components for Artificial Intelligence
1.1.2.1 Hardware
1.1.2.1.1 Graphics Processing Units (GPU)
1.1.2.1.2 Tensor Processing Unit (TPU)
1.1.2.1.3 Video Card
1.1.2.1.4 Storage
1.1.2.1.5 API
1.1.2.2 Software
1.1.2.2.1 Machine Learning Software
1.1.2.2.2 Programming Language
1.1.2.2.2.1 Python
1.1.2.2.2.2 TensorFlow
1.1.2.2.2.3 Java
1.1.2.2.2.4 C
1.1.2.3 Services
1.1.2.3.1 Cloud Services
1.1.2.3.2 Network
1.1.2.3.3 Platforms
1.2 Future of Artificial Intelligence in the Automotive and Transportation Industry
1.2.1 Major Application of Artificial Intelligence in the Automotive and Transportation Industry
1.2.1.1 Intelligent Transportation System
1.2.1.2 Human-Machine Interface (HMI)
1.2.1.3 Driver Authentication System
1.2.1.4 Driver Monitoring System
1.2.1.5 Autonomous Driving
1.3 Ecosystem Participants

2 Market Dynamics
2.1 Overview
2.2 Market Drivers
2.2.1 Impact of Market Drivers
2.2.2 Increasing Demand for ADAS Standards in Modern Vehicles
2.2.3 Increasing Demand for Convenience and Safety in Vehicles
2.2.4 Growing Trend for Development of Autonomous Vehicles
2.3 Market Restraints
2.3.1 Impact of Market Restraints
2.3.2 Frequent Technical Snags and Software Bugs Leading to Accidents
2.3.3 Vehicle Data Privacy and Cybersecurity Concerns
2.4 Market Opportunities
2.4.1 Impact of Market Opportunities
2.4.2 Growing Market Application of AI-Based Technologies to Create Greater Opportunities for Players in the Ecosystem
2.4.3 Progress in Deep Learning, Machine Learning, and Biometric Optimized Technologies to Create New Applications for AI in Automotive

3 CXO's Perspective on the Market
3.1 Automotive OEMs
3.2 Self-Driving Technology Providers
3.3 Artificial Intelligence Services Provider
3.4 System, Hardware and Software Providers
3.5 Tier 1 and Tier 2 Component Providers

4 Competitive Intelligence
4.1 Key Strategies and Developments
4.1.1 Mergers and Acquisitions
4.1.2 Partnerships, Collaborations, and Joint Ventures
4.1.3 Product Launches
4.1.4 Business Expansion
4.2 Key Players Active in the Market
4.2.1 Hardware Providers
4.2.2 Software Providers
4.3 Competitive Landscape

5 Industry Analysis
5.1 Go-to-Market Strategies Adopted by Automotive OEMs and Self-Driving Technology Providers
5.1.1 Product Portfolio of Leading Automotive OEMs
5.1.2 Notable Investment by Automotive OEMs in Artificial Intelligence
5.1.3 Major Strategies and Developments
5.1.3.1 Partnerships, Joint Ventures, and Collaborations
5.1.3.2 Mergers and Acquisitions
5.1.3.3 Product Launches and Innovations
5.2 Startup Landscape: Artificial Intelligence Services Providers Space
5.2.1 Major Startups in the Ecosystem
5.2.2 Funding Analysis
5.2.2.1 Major Investors
5.2.2.2 Top Innovations Drawing Majority of Funding
5.3 Value Chain Analysis
5.4 Supply Chain Analysis
5.4.1 Overview
5.4.2 Supply Chain Analysis
5.5 Patent Landscape
5.5.1 Overview
5.5.2 Global Patent Landscape
5.5.3 Patent Landscape by Product Type
5.5.3.1 Human-Machine Interface
5.5.3.2 Driver Authentication
5.5.3.3 Autonomous Driving
5.5.3.4 Driver Monitoring System
5.5.3.5 Intelligent Transportation System
5.6 Association and Consortium

6 Global Artificial Intelligence Market for Automotive and Transportation Industry (by Application)
6.1 Assumptions and Limitations
6.2 Automotive
6.2.1 Human-Machine Interface (HMI)
6.2.1.1 Global Artificial Intelligence-based Human-Machine Interface Market for Automotive Industry (by Vehicle Type)
6.2.1.2 Global Artificial Intelligence-based Human-Machine Interface Market for Automotive Industry (by Region)
6.2.1.3 Global Artificial Intelligence-based Human-Machine Interface Market for Automotive Industry (by Type)
6.2.1.3.1 Central Display
6.2.1.3.2 Instrument Cluster
6.2.1.3.3 Steering Mounted Control
6.2.1.3.4 Head-up Display
6.2.2 Identity Authentication
6.3 Transportation

7 Global Artificial Intelligence Market for Automotive and Transportation Industry (by Component)
7.1 Hardware
7.1.1 Global Artificial Intelligence Hardware Market for Automotive and Transportation Industry (by Region)
7.2 Software

8 Global Artificial Intelligence Market for Automotive Industry (by Vehicle Type)
8.1 Passenger Vehicles
8.1.1 Global Passenger Vehicle Artificial Intelligence Market (by Application)
8.1.2 Global Passenger Vehicle Artificial Intelligence Market (by Level of Autonomy)
8.1.3 Global Passenger Vehicle Artificial Intelligence Market (by Region)
8.2 Light Commercial Vehicles
8.3 Heavy Duty Trucks
8.4 Heavy Buses

9 Global Artificial Intelligence Market for Automotive Industry (by Level of Autonomy)
9.1 Level 1
9.1.1 Global Artificial Intelligence Market for Level 1 Vehicles (by Application)
9.1.2 Global Artificial Intelligence Market for Level 1 Vehicles (by Vehicle Type)
9.1.3 Global Artificial Intelligence Market for Level 1 Vehicles (by Region)
9.2 Level 2
9.3 Level 3
9.4 Level 4
9.5 Level 5

10 Market Value Analysis for Artificial Intelligence (by Technology)
10.1 Machine Learning
10.2 Natural Language Processing
10.3 Context-Aware Computing
10.4 Computer Vision
10.5 Deep Learning

11 Global Artificial Intelligence Market for Automotive and Transportation Industry (by Region), Value, 2018-2029
11.1 North America
11.1.1 North America Artificial Intelligence Market for Automotive and Transportation Industry (by Application)
11.1.2 North America Artificial Intelligence Market for Automotive Industry (by Vehicle Type)
11.1.3 North America Artificial Intelligence Market for Automotive Industry (by Level of Autonomy)
11.1.4 North America Artificial Intelligence Market for Automotive and Transportation Industry (by Component)
11.1.5 North America Artificial Intelligence Market for Automotive and Transportation Industry (by Country)
11.1.5.1 U.S.
11.1.5.2 Canada
11.1.5.3 Mexico
11.2 Europe
11.3 Asia-Pacific
11.4 Africa
11.5 Latin America
11.6 Qualitative Analysis of Middle East

12 Company Profiles
12.1 Overview
12.2 Affectiva
12.2.1 Company Overview
12.2.2 Role of Affectiva in the Artificial Intelligence Market for Automotive and Transportation Industry
12.2.3 SWOT Analysis
12.3 AImotive
12.4 Argo AI
12.5 CarVi
12.6 Cerence Inc.
12.7 Continental AG
12.8 Denso Corporation
12.9 Harman International
12.10 Intel Corporation
12.11 Nvidia Corporation
12.12 Optalert
12.13 ORBCOMM Inc.
12.14 Siemens
12.15 Sighthound, Inc.
12.16 Smart Eye AB
12.17 Tata Elxsi
12.18 Telegra d.o.o.
12.19 Thales Group
12.20 Valeo
12.21 Visteon Corporation
12.22 Other Emerging Players

13 Analyst POV
13.1 Where is the Industry Heading?
13.2 Key Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/54jxgj

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