Sep 18, 2020 4:46 AM ET
iCrowd Newswire – Sep 18, 2020

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 2025  Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021, the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview, Artificial Intelligence In Transportation market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Artificial Intelligence In Transportation market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart). – In-depth Analysis Pre & Post COVID-19 Market Estimates

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Global Artificial Intelligence in Transportation Market to reach USD 4.5 billion by 2025.

Global Artificial Intelligence in Transportation Market valued approximately USD 1.2 billion in 2017 is anticipated to grow with a healthy growth rate of more than 18% over the forecast period 2018-2025. 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 2025.

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.

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

The industry is seeming to be fairly competitive. Some of the leading market players include Volvo, Daimler, Scania, Paccar, Continental, Magna, Bosch, ZF, Nvidia, Intel, Microsoft and so on. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.

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

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

North America (United States, Canada & Mexico)
Asia-Pacific (Japan, China, India, Australia etc)
Europe (Germany, UK, France etc)
Central & South America (Brazil, Argentina etc)
Middle East & Africa (UAE, Saudi Arabia, South Africa etc)

In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.

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Changing Forecasts in a Time of Crisis: explores key issues, including:

  • Future changes in consumer behavior
  • High-frequency economic data
  • Mapping Out a Potential Recovery
  • Business Strategies During COVID-19
  • Near & Long Term Risk Outlook, Risk Assessment and Opportunities

Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis

  • Market size and growth rate during forecast period.
  • Key factors driving the Market.
  • Key market trends cracking up the growth of the Market.
  • Challenges to market growth.
  • Key vendors of Market.
  • Detailed SWOT analysis.
  • Opportunities and threats faces by the existing vendors in Global Market.
  • Trending factors influencing the market in the geographical regions.
  • Strategic initiatives focusing the leading vendors.
  • PEST analysis of the market in the five major regions.
  • What should be entry strategies, countermeasures to economic impact, and marketing channels?
  • What are market dynamics?
  • What are challenges and opportunities?
  • What is economic impact on market?
  • What is market chain analysis by upstream raw materials and downstream industry?
  • What is industry considering capacity, production and production value? What will be the estimation of cost and profit? What will be market share, supply and consumption? What about import and export?
  • What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?
  • What were capacity, production value, cost and profit?
  • Who are the global key players in this industry? What are their company profile, their product information, and contact information?
  • Which manufacturing technology is used, what are their company profile, their product information, and contact information?

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Key Points Covered in Artificial Intelligence In Transportation Market Report:

TABLE OF CONTENTS

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, 2015-2025 (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, 2015-2025 (USD Billion)

5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.2. Context Awareness

5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.3. Deep Learning

5.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.4. Natural Language Processing

5.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (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, 2015-2025 (USD Billion)

6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.2. Image Recognition

6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.3. Signal Recognition

6.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (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, 2015-2025 (USD Billion)

7.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.2. HMI in Trucks

7.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.3. Semi-Autonomous Trucks

7.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (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, 2015-2025 (USD Billion)

8.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2. Software

8.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 9. Global Artificial Intelligence in Transportation Market, by Regional Analysis

9.1. Artificial Intelligence in Transportation Market, Regional Market Snapshot (2015-2025)

9.2. North America Artificial Intelligence in Transportation Market Snapshot

9.2.1. U.S.

9.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2. Canada

9.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3. Europe Artificial Intelligence in Transportation Market Snapshot

9.3.1. U.K.

9.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2. Germany

9.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3. France

9.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4. Rest of Europe

9.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4. Asia Artificial Intelligence in Transportation Market Snapshot

9.4.1. China

9.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2. India

9.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3. Japan

9.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4. Rest of Asia Pacific

9.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5. Latin America Artificial Intelligence in Transportation Market Snapshot

9.5.1. Brazil

9.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2. Mexico

9.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6. Rest of The World

9.6.1. South America

9.6.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.5. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2. Middle East and Africa

9.6.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.2. Machine Learning Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.3. Process breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.5. Offering breakdown estimates & forecasts, 2015-2025 (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

TABLE 1. LIST OF SECONDARY SOURCES, USED IN THE STUDY OF GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET

TABLE 2. LIST OF PRIMARY SOURCES, USED IN THE STUDY OF GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET

TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, REPORT SCOPE

TABLE 4. YEARS CONSIDERED FOR THE STUDY

TABLE 5. EXCHANGE RATES CONSIDERED

TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET ESTIMATES & FORECASTS BY REGION 2015-2025 (USD BILLION)

Continued….

……..and view more in complete table of Contents

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