Artificial Intelligence in Transportation Market Size to Worth Around USD 5,000 Million by 2027
The most recent research report on the Artificial Intelligence in Transportation Market includes precise Market analysis based on Market aspects such as trends, share, forecast, outlook, production, and future development trends, as well as present and future Market status. The report also explains the current scenario of the Artificial Intelligence in Transportation Market size while taking into account the Market’s history in the past, and by assessing all important factors, the report provides a comprehensive forecast for the same.
The report was detailed and compiled while taking into account the current global COVID-19 pandemic situation, and it assists the client in better understanding the impact of this unexpected intervention and identifying new opportunities to maximize growth potential. This intelligence study investigates and inspects various aspects and Market dynamics in order to provide a complete and comprehensive account of the Artificial Intelligence in Transportation Market revenue.
Description:
The Artificial Intelligence in Transportation Market study defines and discusses numerous parameters such as growth potential, revenue growth, Market size, Market share, product/service range, sales, risks, threats, opportunities, investments, and so on. This document is an excellent resource for navigating the global Artificial Intelligence in Transportation Market landscape and making well-informed business decisions that will ensure the client’s organization’s growth. The data evaluated in this Market report can be critical in decision-making and is a valuable resource in key decision-making for the overall Market scope.
This latest report on the given Market can help you navigate business development, opportunities, dynamics, and expansion. The report is created using a variety of analyses, including Porter’s Analysis, SWOT analysis, qualitative analysis, quantitative analysis and other critical analyses required for a good Market research report. The report is ideal for all types of work approaches.
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Scope of Artificial Intelligence in Transportation Market Report:
In order to determine the most precise trends, Market size, scope, and shareholders landscape assessments, this research report offers key descriptive data on the Market that has been carefully selected by experts. The Artificial Intelligence in Transportation Market is present in a broad range of geographic areas, according to the study report. The research contains a Artificial Intelligence in Transportation Market forecast. The study can be used by stakeholders and newcomers to recognize their growth potentials, produce good business, and increase the organization’s ability for income production.
The Artificial Intelligence in Transportation Market report explains in detail various business dynamics and aspects such as revenue, sales, growth, share, composition, stake, and so on. The report provides effective recommendations and guidelines needed to propel the business forward. This Artificial Intelligence in Transportation Market research helps the client make informed business decisions and develop in the global Marketplace.
Browse TOC’s in Brief:
CHAPTER 1. Industry Overview of Artificial Intelligence in Transportation
1.1. Definition and Scope
1.1.1. Definition of Artificial Intelligence in Transportation
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global Artificial Intelligence in Transportation Market
1.2. Summary
1.2.1. Executive Summary
1.2.2. Artificial Intelligence in Transportation Market By Offering
1.2.3. Artificial Intelligence in Transportation Market By Machine Learning Process
1.2.4. Artificial Intelligence in Transportation Market By Process
1.2.5. Artificial Intelligence in Transportation Market By Application
1.2.6. Artificial Intelligence in Transportation Market by Regions
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Source
2.2.1. Secondary Sources
2.2.2. Primary Sources
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restrain 1
3.2.2. Restrain 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of Artificial Intelligence in Transportation Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for Artificial Intelligence in Transportation Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Regulatory Compliance
3.9. Competitive Landscape, 2019
3.9.1. Player Positioning Analysis
3.9.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Artificial Intelligence in Transportation Market By Offering
4.1. Introduction
4.2. Artificial Intelligence in Transportation Revenue By Offering
4.2.1. Artificial Intelligence in Transportation Revenue (US$ Mn) and Forecast, By Offering, 2016-2027
4.2.2. Hardware
4.2.2.1. Hardware Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
4.2.3. Software
4.2.3.1. Software Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
CHAPTER 5. Artificial Intelligence in Transportation Market Revenue By Machine Learning Process
5.1. Introduction
5.2. Artificial Intelligence in Transportation Revenue (US$ Mn) By Machine Learning Process
5.2.1. Artificial Intelligence in Transportation Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
5.2.2. Deep Learning
5.2.2.1. Deep Learning Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
5.2.3. Computer Vision
5.2.3.1. Computer Vision Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
5.2.4. Context Awareness
5.2.4.1. Context Awareness Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
5.2.5. NLP
5.2.5.1. NLP Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
CHAPTER 6. Artificial Intelligence in Transportation Market By Process
6.1. Introduction
6.2. Artificial Intelligence in Transportation Revenue (US$ Mn) By Process
6.2.1. Artificial Intelligence in Transportation Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
6.2.2. Data Mining
6.2.2.1. Data Mining Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
6.2.3. Image Recognition
6.2.3.1. Image Recognition
6.2.4. Signal Recognition
6.2.4.1. Ultraviolet-visible spectroscopy Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
CHAPTER 7. Artificial Intelligence in Transportation Market By Application
7.1. Introduction
7.2. Artificial Intelligence in Transportation Revenue (US$) By Application
7.2.1. Artificial Intelligence in Transportation Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
7.3. Semi & Full-Autonomous
7.3.1. Semi & Full-Autonomous Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
7.4. HMI
7.4.1. HMI Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
7.5. Platooning
7.5.1. Platooning Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
CHAPTER 8. North America Artificial Intelligence in Transportation Market By Country
8.1. North America Artificial Intelligence in Transportation Overview
8.2. U.S.
8.2.1. U.S. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016-2027
8.2.2. U.S. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016-2027
8.2.3. U.S. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016-2027
8.2.4. U.S. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
8.3. Canada
8.3.1. Canada Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016-2027
8.3.2. Canada Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016-2027
8.3.3. Canada Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016-2027
8.3.4. Canada Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
8.4. North America PEST Analysis
CHAPTER 9. Europe Artificial Intelligence in Transportation Market By Country
9.1. Europe Artificial Intelligence in Transportation Market Overview
9.2. U.K.
9.2.1. U.K. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016-2027
9.2.2. U.K. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016-2027
9.2.3. U.K. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016-2027
9.2.4. U.K. Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.3. Germany
9.3.1. Germany Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016-2027
9.3.2. Germany Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016-2027
9.3.3. Germany Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016-2027
9.3.4. Germany Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.4. France
9.4.1. France Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016-2027
9.4.2. France Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016-2027
9.4.3. France Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016-2027
9.4.4. France Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.5. Spain
9.5.1. Spain Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016-2027
9.5.2. Spain Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016-2027
9.5.3. Spain Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016-2027
9.5.4. Spain Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.6. Rest of Europe
9.6.1. Rest of Europe Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016-2027
9.6.2. Rest of Europe Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016-2027
9.6.3. Rest of Europe Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016-2027
9.6.4. Rest of Europe Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.7. Europe PEST Analysis
CHAPTER 10. Asia Pacific Artificial Intelligence in Transportation Market By Country
10.1. Asia Pacific Artificial Intelligence in Transportation Market Overview
10.2. China
10.2.1. China Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
10.2.2. China Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
10.2.3. China Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
10.2.4. China Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.3. Japan
10.3.1. Japan Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
10.3.2. Japan Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
10.3.3. Japan Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
10.3.4. Japan Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.4. India
10.4.1. India Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
10.4.2. India Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
10.4.3. India Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
10.4.4. India Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.5. Australia
10.5.1. Australia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
10.5.2. Australia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
10.5.3. Australia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
10.5.4. Australia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.6. South Korea
10.6.1. South Korea Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
10.6.2. South Korea Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
10.6.3. South Korea Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
10.6.4. South Korea Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.7. Rest of Asia-Pacific
10.7.1. Rest of Asia-Pacific Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
10.7.2. Rest of Asia-Pacific Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
10.7.3. Rest of Asia-Pacific Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
10.7.4. Rest of Asia-Pacific Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.8. Asia Pacific PEST Analysis
CHAPTER 11. Latin America Artificial Intelligence in Transportation Market By Country
11.1. Latin America Artificial Intelligence in Transportation Market Overview
11.2. Brazil
11.2.1. Brazil Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
11.2.2. Brazil Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
11.2.3. Brazil Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
11.2.4. Brazil Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
11.3. Mexico
11.3.1. Mexico Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
11.3.2. Mexico Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
11.3.3. Mexico Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
11.3.4. Mexico Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
11.4. Rest of Latin America
11.4.1. Rest of Latin America Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
11.4.2. Rest of Latin America Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
11.4.3. Rest of Latin America Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
11.4.4. Rest of Latin America Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
CHAPTER 12. Middle East & Africa Artificial Intelligence in Transportation Market By Country
12.1. Middle East & Africa Artificial Intelligence in Transportation Market Overview
12.2. Saudi Arabia
12.2.1. Saudi Arabia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
12.2.2. Saudi Arabia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
12.2.3. Saudi Arabia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
12.2.4. Saudi Arabia Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
12.3. UAE
12.3.1. UAE Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
12.3.2. UAE Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
12.3.3. UAE Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
12.3.4. UAE Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
12.4. Rest of Middle East & Africa
12.4.1. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Offering, 2016 – 2027
12.4.2. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Machine Learning Process, 2016 – 2027
12.4.3. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Process, 2016 – 2027
12.4.4. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
CHAPTER 13. PLAYER ANALYSIS OF STROKE MANAGEMENT
13.1. Artificial Intelligence in Transportation Market Company Share Analysis
13.2. Competition Matrix
13.2.1. Competitive Benchmarking of key players by price, presence, market share, and R&D investment
13.2.2. New Product Launches and Product Enhancements
13.2.3. Mergers And Acquisition In Global Artificial Intelligence in Transportation Market
13.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 14. COMPANY PROFILE
14.1. Scania Group
14.1.1. Company Snapshot
14.1.2. Business Overview
14.1.3. Financial Overview
14.1.3.1. Revenue (US$ Mn), 2019
14.1.3.2. Scania Group 2019 Artificial Intelligence in Transportation Business Regional Distribution
14.1.4. Product/ Service and Specification
14.1.5. Recent Developments & Business Strategy
14.1.6. Manufacturing Plant Footprint Analysis
14.2. Volvo Group
14.3. Man SE
14.4. Daimler AG
14.5. Magna
14.6. PACCAR Inc.
14.7. Robert Bosch GmbH
14.8. Continental AG
14.9. Alphabet Inc
14.10. Microsoft Corporation
14.11. NVIDIA
14.12. ZF Friedrichshafen AG
14.13. Intel Corporation
14.14. Others
Reasons to Buy:
- A guide for estimating the valuation of the Artificial Intelligence in Transportation Market growth in the global context
- Assists in developing one-of-a-kind solutions to problems in the Market
- Advice on how to navigate the Market landscape in an efficient and effective manner
- Use of resources to manipulate and gain the most benefit from the Artificial Intelligence in Transportation Market industry
- Assists in the implementation of strategies based on Artificial Intelligence in Transportation Market trends and demands
Market Segmentation:
Artificial Intelligence in Transportation Market By Offering
Hardware
Software
Artificial Intelligence in Transportation Market By Machine Learning Technology
Deep Learning
Computer Vision
Context Awareness
NLP
Artificial Intelligence in Transportation Market By Process
Data Mining
Image Recognition
Signal Recognition
Artificial Intelligence in Transportation Market By Application
Semi & Full-Autonomous
HMI
Platooning
Artificial Intelligence in Transportation Market Competitive Analysis
The report was prepared by our Analysts at Acumen Research and Consulting, who are in constant contact with various industry professionals to provide you with the most up-to-date data on the given Market. This report was created using quantitative and qualitative analyses, resulting in a very comprehensive report that will best serve the client.
In order to determine the Market landscape, the Artificial Intelligence in Transportation Market report focuses on the major global players, defining, describing, and analyzing the Market value, Market share, and Market competition landscape. This Market report is essential for clients in a wide range of fields, including Marketing, product development, business development, and many others.
Additional Highlights:
- The report graphs volume predictions for each segment as well as revenue share
- This study conveys top players’ pricing and revenue models, as well as their gross margins and Market share
- A thorough examination of all opportunities and risks in the Market in light of the current situation
- Other critical growth fundamentals have been discussed throughout the forecast period
Key Players List as Below:
Major players included in this report are Scania Group, Volvo Group, Man SE, Daimler AG, Magna, PACCAR Inc., Robert Bosch GmbH, Continental AG, Alphabet Inc, Microsoft Corporation, NVIDIA, ZF Friedrichshafen AG, Intel Corporation, and others.
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Acumen Research and Consulting (ARC) is a global provider of market intelligence and consulting services to information technology, investment, telecommunication, manufacturing, and consumer technology markets. ARC helps investment communities, IT professionals, and business executives to make fact based decisions on technology purchases and develop firm growth strategies to sustain market competition. With the team size of 100+ Analysts and collective industry experience of more than 200 years, Acumen Research and Consulting assures to deliver a combination of industry knowledge along with global and country level expertise.
