The global Artificial Intelligence in transportation market size is expected to reach USD 7,065.1 Million in 2028 and register a robust CAGR over the forecast period, according to latest analysis by Emergen Research. Steady revenue growth of the Artificial Intelligence in transportation market can be attributed to rising demand for safety and security in transportation and logistics and increasing deployment of more advanced traffic management solutions. The report provides detailed insights into Artificial Intelligence in Transportation market trends, industry trends, consumer trends, market size, market share, market revenue growth, and forecast, along with ranging impact of each factor and driver. It also provides analysis of various factors expected to restrain or limit potential growth in market size over the forecast period, 2020–2028. The report includes profiles of major players in the Artificial Intelligence in Transportation market, strategies being employed, mergers, acquisitions, recent developments, agreements, contracts, new product development and launches, segment revenue, investment details as well as financials.
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The steady Artificial Intelligence in Transportation market share growth can be attributed to a variety of factors and trends in the global Artificial Intelligence in Transportation market currently. Global Artificial Intelligence in Transportation market revenue growth is supported to a significant extent due to rising focus by major players on product/service expansion into new and untapped domestic markets and rising competition in the market. These factors are expected to drive incline in regional Artificial Intelligence in Transportation market share growth over the forecast period. AI helps in streamlining traffic patterns through real-time tracking and intelligent traffic light algorithms, thereby enabling smooth traffic flow, which significantly improves various aspects in transportation. Besides, AI helps in decreasing fuel consumption and exhaust emissions, which would otherwise be higher in a normal setting as a result of numerous vehicles moving slowly during a traffic jam or congestion. In addition, rapidly rising demand and deployment in respective sectors/industries in major and developing countries is supporting growth in terms of Artificial Intelligence in Transportation market share contribution of these countries. In addition, Artificial Intelligence in Transportation market share contribution is expected to continue to incline steadily over the forecast period due to favorable government policies, advancements in technology, and steady economic growth across various regions and countries.
Top key vendors in Artificial Intelligence in Transportation Market include are:
Daimler AG, Continental AG, Robert Bosch GmbH, VOLVO, PACCAR Inc., Magna International Inc., ZF Friedrichshafen AG, Scania AB, Valeo, and MAN SE.
Emergen Research has segmented the global Artificial Intelligence in transportation market in terms of process, learning technology, application, and region:
- Process Outlook (Revenue, USD Million; 2021–2028)
- Signal Recognition
- Object Recognition
- Data Mining
- Learning Technology Outlook (Revenue, USD Million; 2021–2028)
- Deep Learning
- Context Awareness
- Computer Vision
- Natural Language Processing
- Application Outlook (Revenue, USD Million; 2021–2028)
- Autonomous Trucks
- HMI Trucks
- Semi-autonomous Trucks
- Regional Outlook (Revenue, USD Million; 2021–2028)
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- Spain
- BENELUX
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of APAC
- Latin America
- Brazil
- Rest of LATAM
- Middle East & Africa
- Saudi Arabia
- UAE
- South Africa
- Rest of Middle East & Africa
- North America
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In terms of Artificial Intelligence in Transportation market share and revenue contribution to the global Artificial Intelligence in Transportation market, North America is expected to maintain its dominance over other regional markets over the forecast period. Presence of major companies in countries in the region is a key factor supporting rapid increase in Artificial Intelligence in Transportation market share.
Incorporated with Info-graphics, charts, 70 tables and 85 figures, this 250-page research report “Artificial Intelligence in Transportation Market Size, Type, Application, End-Use Industry, Regional Outlook, Competitive Strategies and Forecasts, 2020 - 2027” is based on a complete research of the entire Global market and covering all its sub-segments through comprehensively thorough classifications. Insightful analysis and assessment are created from superior primary and secondary information sources with data and information derived from industry specialists across the value chain.
Region wise performance of the Artificial Intelligence in Transportation industry
Asia Pacific market share contribution to the global Artificial Intelligence in Transportation market is expected to continue to register comparatively faster growth rate than other regional markets between 2020 and 2028. Rapid growth rate of China and India Artificial Intelligence in Transportation market share contribution can be attributed to increasing population and disposable income, and steady economic growth, and the trend is expected to continue going ahead.
Steady increase in Europe Artificial Intelligence in Transportation market share growth is primarily supported by continuous developments in major countries in the region. Robust focus on research and development initiatives by major firms in countries in the region is also expected to continue to support market share growth of the Europe Artificial Intelligence in Transportation market going ahead.
Geographically, this report studies the key regions, focuses on product sales, value, market share and growth opportunity in these regions, covering:
- United States
- Europe
- China
- Japan
- Southeast Asia
- India
We can also provide the customized separate regional or country-level reports, for the following regions:
North America, United States, Canada, Mexico, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Singapore, Rest of Asia-Pacific, Europe, Germany, France, UK, Italy, Spain, Russia, Rest of Europe, Central & South America, Brazil, Argentina, Rest of South America, Middle East & Africa, Saudi Arabia, Turkey, Rest of Middle East & Africa
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The research provides answers to the following key questions:
- What will be the growth rate and the market size of the Artificial Intelligence in Transportation industry for the forecast period 2020-2027?
- What are the major driving forces expected to impact the development of the Artificial Intelligence in Transportation market across different regions?
- Who are the major driving forces expected to decide the fate of the Artificial Intelligence in Transportation industry worldwide?
- Who are the prominent market players making a mark in the Artificial Intelligence in Transportation market with their winning strategies?
- Which Artificial Intelligence in Transportation industry trends are likely to shape the future of the industry during the forecast period 2020-2027?
- What are the key barriers and threats believed to hinder the development of the industry?
- What are the future opportunities in the Artificial Intelligence in Transportation market?
Table of Content
Chapter 1. Methodology & Sources
1.1. Artificial Intelligence in Transportation Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Artificial Intelligence in Transportation Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2021-2028
Chapter 3. Key Insights
Chapter 4. Artificial Intelligence in Transportation Market Segmentation & Impact Analysis
4.1. Artificial Intelligence in Transportation Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Artificial Intelligence in Transportation Market indicators analysis
4.2.2. Artificial Intelligence in Transportation Market drivers analysis
4.2.2.1. Rapid urbanization and industrialization
4.2.2.2. Stringent government regulations regarding carbon emissions
4.2.2.3. Increasing prevalence of respiratory diseases
4.2.2.4. Rising need to enhance indoor air quality
4.2.3. Artificial Intelligence in Transportation Market restraints analysis
4.2.3.1. High cost associated with the maintenance of Artificial Intelligence in Transportation products
4.2.3.2. Availability of renewable sources of energy
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 10. Competitive Landscape
10.1. Artificial Intelligence in Transportation Market Revenue Share By Manufacturers
10.2. Mergers & Acquisitions
10.3. Competitor’s Positioning
10.4. Strategy Benchmarking
10.5. Vendor Landscape
10.5.1. Raw Material Suppliers
10.5.1.1. North America
10.5.1.2. Europe
10.5.1.3. Asia Pacific
10.5.1.4. Middle East & Africa
10.5.1.5. Latin America
10.5.2. Distributors
10.5.2.1. North America
10.5.2.2. Europe
10.5.2.3. Asia Pacific
10.5.2.4. Middle East & Africa
10.5.2.5. Latin America
10.5.3. Others
Continued….
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