Artificial Intelligence in Transportation Market To Witness Increased Incremental Dollar Opportunity During The Forecast Period 2020 – 2028
The recent study, Artificial Intelligence in Transportation market forecasts the business performance of the Artificial Intelligence in Transportation market for the forecast period, 2020 to 2028. The study considers the estimated period as the base duration and brings to light the important information associated with the market size, share and growth rate of the Artificial Intelligence in Transportation market.
The global Artificial Intelligence in transportation market size was USD 1,978.0 Million in 2020 and is projected to reach USD 7,065.1 Million in 2028, at a CAGR of 17.2% during the forecast period. Increasing demand for traffic management solutions is a significant factor driving market growth. Artificial Intelligence (AI) finds extensive application in robust traffic management systems comprising cameras and sensors integrated in the road. Traffic management systems generate vast volumes of traffic-related data, which are analyzed using AI systems to gain insights into traffic patterns. Growing focus on enhancing traffic management in developed and developing countries is expected to continue to boost market growth over the forecast period.
Apart from this, the research closely examines the market share occupied by some of the prominent market players in the Artificial Intelligence in Transportation market for the forecast period, 2020 to 2028. Researchers behind the research unmask vital statistics on market segmentation including product types, application, sale and geography.
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This study relies on the evolution of the industry to derive the trends that are observed. A significant increase in the global market is visible, which promises the expansion of the market in the coming years.
This report highlights the major contributing sectors in the industry and details the niche areas that exhibit potential to have an impact on the overall growth of the industry. The key players that account for a sizable portion of the market share have been profiled in this report. The research comprises of crucial information that has been drawn after analyzing the trends in the market. It includes market insights that aim to help the readers navigate their business ventures.
The major manufacturers covered in this report:
Daimler AG, Continental AG, Robert Bosch GmbH, VOLVO, PACCAR Inc., Magna International Inc., ZF Friedrichshafen AG, Scania AB, Valeo, and MAN SE
Scope of the report:
The study aims to evaluate different segments, their individual development trends, and their contribution towards the growth of the overall industry. Furthermore, the research offers extensive data about the key factors such as the drivers, challenges, restraints and opportunities and their impact on the growth rate. Most importantly, the market intelligence report delivers competitive intelligence data from market evaluation and help companies plan their growth strategies from the consumption volume as well as forecast statistics.
Segments Covered in this report are:
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
This report strategically examines the micro-markets and brings to light the impact of technology upgrades on the performance of the Artificial Intelligence in Transportation market.
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The study on the Artificial Intelligence in Transportation market further blends in the best of both primary and secondary research to estimate and verify the current status of import and export, demand and supply, consumption power, spending capacity and distribution channel worldwide.
The report examines the market standing of prominent manufacturers and evaluates the strategies they have adopted to stay competitive. The study also applies qualitative and quantitative techniques to assess the annual and financial performance of the top vendors and insights from market leaders.
Comprehensive coverage of the recent developments including joint ventures, collaborations, investments, product launches and acquisitions and mergers form an important part of the research on the Artificial Intelligence in Transportation market for the forecast period, 2020 to 2028.
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
Researchers conducting the research also carry out a comprehensive analysis of the recent amendments in the government regulation and their impact on the competitive landscape of the industry.
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Table of Contents:
Report Overview: It includes the objectives and scope of the study and gives highlights of key market segments and players covered. It also includes years considered for the research study.
Executive Summary: It covers industry trends with high focus on market use cases and top market trends, market size by regions, and global market size. It also covers market share and growth rate by regions.
Key Players: Here, the report concentrates on mergers and acquisitions, expansions, analysis of key players, establishment date of companies, and areas served, manufacturing base, and revenue of key players.
Breakdown by Product and Application: This section provides details about market size by product and application.
Regional Analysis: All of the regions and countries analyzed in the report are studied on the basis of market size by product and application, key players, and market forecast.
Profiles of International Players: Here, players are evaluated on the basis of their gross margin, price, sales, revenue, business, products, and other company details.
Market Dynamics: It includes supply chain analysis, analysis of regional marketing, challenges, opportunities, and drivers analyzed in the report.
Appendix: It includes details about research and methodology approach, research methodology, data sources, authors of the study, and a disclaimer.
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