Market Overview:
The global artificial intelligence for automotive and transportation market is expected to grow at a CAGR of 27.5% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for autonomous and semi-autonomous vehicles, rising adoption of artificial intelligence in automotive and transportation applications, and growing investments in research and development activities for developing advanced technologies. The global artificial intelligence for automotive and transportation market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into hardware and software. The hardware segment dominates the global artificial intelligence for automotive and transportation market owing to rising demand for advanced sensors, processors, actuators, etc., in autonomous vehicles.
Product Definition:
Artificial intelligence is a process of programming a computer to make decisions for itself. This can be used in automotive and transportation to help with things like traffic congestion, route planning, and even self-driving cars.
Hardware:
Hardware is the physical devices or components used to build a system or machine. In AI for Automotive and Transportation (ATA), hardware includes sensors, processors, electronic control units (ECU), powertrains, transmission and drive trains. Hardware plays an important role in enabling self-driving vehicles by providing them with data that they need to operate safely. The ATA market has witnessed significant growth over the past few years owing to increasing investments from companies such as Google LLC., Apple Inc.
Software:
Software is a set of procedures, protocols, and tools that are used to create, modify or destroy computer data. In other words, it is the combination of rules and processes that can be applied to various datasets with the objective of producing some kind of output. The most widely used software in the automotive industry includes CAD (Computer Aided Design), CAE (Computer Aided Engineering) and CAM (Computer Aided Manufacturing).
Application Insights:
The market is segmented by application into autonomous trucks, semi-autonomous trucks, and other vehicles. The autonomous trucks segment dominated the market in 2017 and is expected to maintain its lead over the forecast period. This can be attributed to growing demand for goods from e-commerce companies such as Amazon.com Inc., along with rising investments by companies such as Daimler AG and Volvo AB in developing self-driving cars for heavy commercial vehicles (HCVs).
For instance, in November 2017, Daimler announced plans to invest approximately USD 1 billion over the next four years on a program that aims at developing fully autonomous big rigs using driverless AI technology on highways. Such initiatives are expected to increase product demand across various regions during the forecast period.
Regional Analysis:
The North American regional market is anticipated to dominate the global industry, owing to early adoption of the technology in various applications. The region accounted for a revenue share of over 35% in 2017 and is expected to maintain its lead over the forecast period. This can be attributed to increasing investments by prominent players such as Google LLC; Uber Technologies Inc.; Baidu, Inc.; and Ford Motor Company in developing new products leveraging artificial intelligence for automotive and transportation application space.
Asia Pacific regional market is projected to witness significant growth during the forecast period owing to increasing deployment of AIs at large scale across several industries including healthcare, financial services, retail & e-commerce sectors are driving demand from enterprises seeking cost savings along with improved customer experience. Moreover AI technologies offer tremendous potential for improving efficiency across all areas of business operations thereby augmenting demand within APAC region significantly over next eight years to 2030 time frame).
Growth Factors:
- Increasing demand for AI-enabled vehicles for enhanced safety and security
- Growing demand for autonomous cars and trucks
- Rising adoption of AI in logistics and transportation sector
- Proliferation of big data and emergence of 5G technology
- Increasing investments in R&D of AI-based automotive technologies
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence for Automotive and Transportation Market Research Report
By Type
Hardware, Software
By Application
Autonomous Trucks, Semi-Autonomous Trucks
By Companies
Continental, Magna, Bosch, Valeo, ZF, Scania, Paccar, Volvo, Daimler, Nvidia, Alphabet, Intel, Microsoft
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
143
Number of Tables & Figures
101
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence for Automotive and Transportation Market Report Segments:
The global Artificial Intelligence for Automotive and Transportation market is segmented on the basis of:
Types
Hardware, Software
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Autonomous Trucks, Semi-Autonomous Trucks
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Continental
- Magna
- Bosch
- Valeo
- ZF
- Scania
- Paccar
- Volvo
- Daimler
- Nvidia
- Alphabet
- Intel
- Microsoft
Highlights of The Artificial Intelligence for Automotive and Transportation Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Hardware
- Software
- By Application:
- Autonomous Trucks
- Semi-Autonomous Trucks
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence for Automotive and Transportation Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence is a subset of machine learning that deals with the creation of intelligent agents, which are computer programs that can reason and learn like humans. Automotive and transportation companies use artificial intelligence to help drivers avoid accidents, plan routes, and more.
Some of the key players operating in the artificial intelligence for automotive and transportation market are Continental, Magna, Bosch, Valeo, ZF, Scania, Paccar, Volvo, Daimler, Nvidia, Alphabet, Intel, Microsoft.
The artificial intelligence for automotive and transportation market is expected to register a CAGR of 27.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence for Automotive and Transportation Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence for Automotive and Transportation Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence for Automotive and Transportation Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence for Automotive and Transportation Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence for Automotive and Transportation Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence for Automotive and Transportation Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence for Automotive and Transportation Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence for Automotive and Transportation Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence for Automotive and Transportation Market Size Forecast by Type
5.2.1 Hardware
5.2.2 Software
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence for Automotive and Transportation Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence for Automotive and Transportation Market Size Forecast by Applications
6.2.1 Autonomous Trucks
6.2.2 Semi-Autonomous Trucks
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence for Automotive and Transportation Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence for Automotive and Transportation Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence for Automotive and Transportation Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence for Automotive and Transportation Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence for Automotive and Transportation Market Size Forecast by Type
9.6.1 Hardware
9.6.2 Software
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence for Automotive and Transportation Market Size Forecast by Applications
9.10.1 Autonomous Trucks
9.10.2 Semi-Autonomous Trucks
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence for Automotive and Transportation Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence for Automotive and Transportation Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence for Automotive and Transportation Market Size Forecast by Type
10.6.1 Hardware
10.6.2 Software
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence for Automotive and Transportation Market Size Forecast by Applications
10.10.1 Autonomous Trucks
10.10.2 Semi-Autonomous Trucks
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence for Automotive and Transportation Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence for Automotive and Transportation Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence for Automotive and Transportation Market Size Forecast by Type
11.6.1 Hardware
11.6.2 Software
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence for Automotive and Transportation Market Size Forecast by Applications
11.10.1 Autonomous Trucks
11.10.2 Semi-Autonomous Trucks
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence for Automotive and Transportation Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence for Automotive and Transportation Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence for Automotive and Transportation Market Size Forecast by Type
12.6.1 Hardware
12.6.2 Software
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence for Automotive and Transportation Market Size Forecast by Applications
12.10.1 Autonomous Trucks
12.10.2 Semi-Autonomous Trucks
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence for Automotive and Transportation Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence for Automotive and Transportation Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence for Automotive and Transportation Market Size Forecast by Type
13.6.1 Hardware
13.6.2 Software
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence for Automotive and Transportation Market Size Forecast by Applications
13.10.1 Autonomous Trucks
13.10.2 Semi-Autonomous Trucks
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence for Automotive and Transportation Market: Competitive Dashboard
14.2 Global Artificial Intelligence for Automotive and Transportation Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Continental
14.3.2 Magna
14.3.3 Bosch
14.3.4 Valeo
14.3.5 ZF
14.3.6 Scania
14.3.7 Paccar
14.3.8 Volvo
14.3.9 Daimler
14.3.10 Nvidia
14.3.11 Alphabet
14.3.12 Intel
14.3.13 Microsoft
