Global Artificial Intelligence in Transportation Market to reach USD 5.3 billion by 2026.

Global Artificial Intelligence in Transportation Market Size study, by Machine Learning Technology, by Process (Data Mining, Image Recognition, Signal Recognition), by Application (Autonomous Truck, HMI in Trucks, Semi-Autonomous Truck), by Offering and by Regional Forecasts 2019-2026
Product Code:  OIRST_92747746
Chapter 1.Global Artificial Intelligence in Transportation Market Definition and Scope 
1.1.Research Objective
1.2.Market Definition
1.3.Scope of The Study
1.4.Years Considered for The Study
1.5.Currency Conversion Rates
1.6.Report Limitation
Chapter 2.Research Methodology
2.1.Research Process
2.1.1.Data Mining
2.1.2.Analysis
2.1.3.Market Estimation
2.1.4.Validation
2.1.5.Publishing
2.2.Research Assumption
Chapter 3.Executive Summary 
3.1.Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
3.2.Key Trends
Chapter 4.Global Artificial Intelligence in Transportation Market Dynamics
4.1.Growth Prospects
4.1.1.Drivers
4.1.2.Restraints
4.1.3.Opportunities
4.2.Industry Analysis
4.2.1.Porter’s 5 Force Model
4.2.2.PEST Analysis
4.2.3.Value Chain Analysis
4.3.Analyst Recommendation & Conclusion
Chapter 5.Global Artificial Intelligence in Transportation Market, By Machine Learning Technology.
5.1.Market Snapshot 
5.2.Market Performance - Potential Model
5.3.Global Artificial Intelligence in Transportation Market, Sub Segment Analysis
5.3.1.Computer Vision
5.3.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.1.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.Context Awareness
5.3.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.Deep Learning
5.3.3.1.Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.4.Natural Language Processing
5.3.4.1.Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.4.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)


Chapter 6.Global Artificial Intelligence in Transportation Market, By Process
6.1.Market Snapshot 
6.2.Market Performance - Potential Model
6.3.Global Artificial Intelligence in Transportation Market, Sub Segment Analysis
6.3.1.Data Mining
6.3.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.1.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.Image Recognition
6.3.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.3.Signal Recognition
6.3.3.1.Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.3.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 7.Global Artificial Intelligence in Transportation Market, By Application
7.1.Market Snapshot 
7.2.Market Performance - Potential Model
7.3.Global Artificial Intelligence in Transportation Market, Sub Segment Analysis
7.3.1.Autonomous Trucks
7.3.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.1.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.HMI in Trucks
7.3.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.Semi-Autonomous Trucks
7.3.3.1.Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 8.Global Artificial Intelligence in Transportation Market, By Offering
8.1.Market Snapshot 
8.2.Market Performance - Potential Model
8.3.Global Artificial Intelligence in Transportation Market, Sub Segment Analysis
8.3.1.Hardware
8.3.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.1.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.Software
8.3.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.2.Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)


Chapter 9.Global Artificial Intelligence in Transportation Market, by Regional Analysis
9.1.Artificial Intelligence in Transportation Market, Regional Market Snapshot (2016-2026)
9.2.North America Artificial Intelligence in Transportation Market Snapshot
9.2.1.U.S.
9.2.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.2.1.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.2.1.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.2.1.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.2.1.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)

9.2.2.Canada
9.2.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.2.2.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.2.2.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.2.2.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.2.2.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.Europe Artificial Intelligence in Transportation Market Snapshot
9.3.1.U.K. 
9.3.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.3.1.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.1.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.1.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.1.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.2.Germany 
9.3.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.3.2.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.2.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.2.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.2.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.3.France 
9.3.3.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.3.3.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.3.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.3.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.3.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.4.Rest of Europe
9.3.4.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.3.4.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.4.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.4.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.4.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.Asia Artificial Intelligence in Transportation Market Snapshot
9.4.1.China 
9.4.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.1.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.1.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.1.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.1.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.2.India 
9.4.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.2.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.2.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.2.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.2.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.3.Japan
9.4.3.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.3.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.3.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.3.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.3.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.Rest of Asia Pacific
9.4.4.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.Latin America Artificial Intelligence in Transportation Market Snapshot
9.5.1.Brazil 
9.5.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.5.1.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.1.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.1.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.1.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.2.Mexico 
9.5.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.5.2.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.2.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.2.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.5.2.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.Rest of The World 
9.6.1.South America
9.6.1.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.6.1.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.1.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.1.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.1.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.2.Middle East and Africa
9.6.2.1.Market estimates & forecasts, 2016-2026 (USD Billion)
9.6.2.2.Machine Learning Technology breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.2.3.Process breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.2.4.Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.2.5.Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 10.Competitive Intelligence
10.1.Company Market Share (Subject to Data Availability)
10.2.Top Market Strategies
10.3.Company Profiles
10.3.1.Volvo
10.3.1.1.Overview
10.3.1.2.Financial (Subject to Data Availability)
10.3.1.3.Product Summary
10.3.1.4.Recent Developments
10.3.2.Daimler
10.3.3.Scania.
10.3.4.Paccar
10.3.5.Continental
10.3.6.Magna
10.3.7.Bosch
10.3.8.ZF
10.3.9.Nvidia
10.3.10.Intel.
10.3.11.Microsoft
Chapter 11.Research Process
11.1.Research Process
11.1.1.Data Mining
11.1.2.Analysis
11.1.3.Market Estimation
11.1.4.Validation
11.1.5.Publishing
11.1.6.Research Assumption

Global Artificial Intelligence in Transportation Market valued approximately USD 1.4 billion in 2018 is anticipated to grow with a healthy growth rate of more than 18% over the forecast period 2019-2026. The growth of the Artificial Intelligence in Transportation market is majorly driven by the development of autonomous vehicles and increasing focus towards reducing the operating cost of transportation. Major developments in Market are related to software. Companies such as IBM and Alphabet Inc. are investing heavily in Artificial Intelligence software, which is benefiting the market of the category. Furthermore, the declining prices of hardware will increase the share of the software category in the market by 2026.

The regional analysis of Global Artificial Intelligence in Transportation Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is estimated to account for the largest share in the global AI in transportation market, valued at more than 44.0% in 2017. The region includes developed countries such as the U.S. and Canada, which are prominent markets of AI in transportation. Government support and sales of long-haul and premium trucks are driving the market in the region. The U.S. has accounted for a major portion of market revenues in the region till now, due to considerable government and private sector investment, coupled with a favorable policy framework. A well-developed trucking industry with an estimated 15 million registered trucks in the country, ensures considerable long-term opportunity for AI in transportation.

Major market player included in this report are:
Company Profiles
Daimler
Scania.
Paccar
Continental
Magna
Bosch
ZF
Nvidia
Intel.
Microsoft

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Machine Learning Technology:

Computer Vision
Context Awareness
Deep Learning
Natural Language processing

By Process:
Data Mining
Image Recognition
Signal Recognition

By Application:

Autonomous Trucks
HMI in Trucks
Semi-Autonomous Truck

By Offering:

Hardware
Software

By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026

Target Audience of the Global Artificial Intelligence in Transportation Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors


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