
Market Overview
Artificial Intelligence in Transportation Market to Grow at a CAGR of 37.2% During the Forecast Period
The global artificial intelligence in transportation market is expected to grow from USD 1,106.8 million in 2019 to USD 8,081.5 million by 2024, at a CAGR of 37.2%. The major driving factors for the market growth are the increasing need to enhance operational efficiency and reduce transportation costs.
Artificial intelligence is increasingly used in various applications such as fleet management, predictive maintenance, autonomous vehicles, and others in the transportation industry. The advent of autonomous vehicles is expected to provide significant opportunities for market growth during the forecast period.
The research report published by Market.us briefly describes the current analysis of global Artificial Intelligence in Transportation market, it’s recent market dynamics, detailed market segmentation, leading market key players, and regions. That way we can discuss what is happening now in 2022 and what still needs to improve in the Artificial Intelligence in Transportation industry. Therefore, this report represents a brief market outlook of the global Artificial Intelligence in Transportation industry. The report includes the impact of COVID-19 on the global Artificial Intelligence in Transportation market trends, future forecasts, growth opportunities, end-user industries, and market players. In addition, the research report also comprises the Russia-Ukraine war impact on the global Artificial Intelligence in Transportation industry.
This market study examines the major factors influencing the industry’s growth and elaborates on their contribution. It examines the most recent developments, sales, market valuation, production, gross margin, and other significant factors of the major players in the Artificial Intelligence in Transportation market. The report offers valuable research and suggestions for industry players. To fully understand the current as well as the future market growth, key players can refer to the report’s market figures and statistical analyses. The global Artificial Intelligence in Transportation market is analyzed objectively and compares all key segments. The report provides recommendations that will help industry players compete in the Market and to survive.
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Report Covers:
Pages: 200+
Tables: 120+
Figures: 150+
Moreover, this report comprises current market dynamics in the Artificial Intelligence in Transportation market. Such as key driving factors, major opportunities areas, restraining factors, & recent trends in Artificial Intelligence in Transportation market. The research report includes a SWOT analysis and Porter’s five force analysis. This help to identify the key growth factors and challenges in the Artificial Intelligence in Transportation market.
Market Snapshot:
Historical Years: 2016-2020 | Base Year: 2021 | Estimated Year: 2022
Short Term Projection Year: 2028 | Projected Year: 2023 | Long Term Projected Year: 2032
Fastest Growing Market: North America
Market Segmentation Evaluated in the Report:
An outline of the product range: Different types of Artificial Intelligence in Transportation Market
by Offering
Hardware
Software
by Process
Data Mining
Image Recognition
Signal Recognition
Classified Applications of Artificial Intelligence in Transportation Market:
Semi & Full-Autonomous
HMI
Platooning
The Artificial Intelligence in Transportation market report deals with multiple research objectives, investment plans, business strategies, import-export, and supply-demand. It provides deep insights into the target product’s production, revenue, and consumption. It helps key players to increase sales and growth within the global Artificial Intelligence in Transportation market. Several research and development activities are underway to enhance Artificial Intelligence in Transportation products and new innovative technologies. The competitive perspective section of the report presents a clear insight into the market share analysis of the major players in the industry. It also provides historical data, current market scenarios, and future insights on Artificial Intelligence in Transportation market.
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Key Players Analysis:
This industry’s success depends on the ability to extend and stretch product lines. Companies spend heavily on research to develop new products that meet the requirements of local regulations and standards. In addition, big companies are inclined to make acquisitions to obtain considerable market share through strategic company acquisitions. Furthermore, favorable government policies adopted by countries in the developing world backed by cutting-edge capital from venture capitalists have resulted in many innovative companies in the market.
Top Companies Participating in the Artificial Intelligence in Transportation Market are:Â
Continental
Magna
Bosch
Valeo
ZF
Scania
Paccar
Volvo
Daimler
Nvidia
Alphabet
Intel
Microsoft
Key Takeaways of the Competitive Landscape Section:
• Detailed overview of the company profiles of each key player
• Contribution of revenue share
• Industrial chain analysis of each key player
• Business growth strategies acquired by leading market players
Value (US$ Mn) Analysis by Region, 2022
The geographic regions in this report are segmented into several key areas for production, consumption, revenue (million USD), and market share. The Artificial Intelligence in Transportation growth for this region between 2022 and 2032 (prevision), will be covered
– North America (U.S. and Canada)
– Latin America (Mexico, Brazil, Peru, Chile, and others)
– Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
– Eastern Europe (Poland and Russia)
– Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
– The Middle East and Africa (GCC, Southern Africa, and North Africa)
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Research Approach:
This research study extensively used both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Market Size Estimation
Top-down and bottom-up approaches validate the global {d.keyword} size and estimate the market size for manufacturers, regions segments, product segments and applications (end users).
The market estimations in this report are based on the marketed sale price of products (excluding any discounts provided by the manufacturer, distributor, wholesaler or traders). The percentage splits, Market Share (%), and breakdowns of the product segments are derived on the basis of weightages assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall {d.keyword} and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.
Analyst’s Perspective On Artificial Intelligence in Transportation Market:
The study’s authors predict that the market for Artificial Intelligence in Transportation will grow at a CAGR (%) during 2023-2032. The market’s profitability will encourage new entrants to venture and take advantage of the increasing demand. Favorable government policies adopted by countries in the developing world backed by cutting-edge capital from venture capitalists have resulted in the emergence of many innovative companies in the market. Furthermore, the development and expansion of e-Commerce portals, which offer sales closure through attractive discounts and deals even from overseas regions, will continue to support opportunities.
Extra Benefits By Purchasing Artificial Intelligence in Transportation Market Report
• The Detailed Data Set in Excel Format
• Analyst Support for post Sale Queries Up To 3 Months
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TOC Highlights:
Chapter 1 Preface
This segment provides opinions of key participants, an audit of Artificial Intelligence in Transportation industry, market outlook across key regions, financial services, and various challenges faced by Artificial Intelligence in Transportation market. It briefly introduces the global Artificial Intelligence in Transportation market. This section depends on the Scope of the Study and Report Guidance.
Chapter 2 Executive Summary
It elaborated market outlook by segmentation in Artificial Intelligence in Transportation market. In addition, it also represents the market snapshot covered in the report.
Chapter 3 Market Dynamics
This section comprises current market dynamics in the Artificial Intelligence in Transportation market. Such as key driving factors, major opportunities areas, restraining factors, & recent trends in Artificial Intelligence in Transportation market. It also includes SWOT analysis and Porter’s five force analysis. This help to identify the key growth factors and challenges in the Artificial Intelligence in Transportation market.
Chapter 4 Global Artificial Intelligence in Transportation market Analysis, Opportunity, and Forecast, 2016-2032
This chapter comprises the current scenario of the Global Artificial Intelligence in Transportation market in 2021, including forecast estimation for 2023-2032.
Chapter 5 Geographic Analysis
This section has covered in-depth regional market share analysis and carefully scrutinized it to understand its current and future growth, development, and demand scenarios for this market.
Chapter 7 Covid-19 Impact
This section briefly describes the positive and negative impact of the COVID-19 Pandemic on the Global Artificial Intelligence in Transportation Market.
Chapter 8 Pricing Analysis
This chapter provides price point analysis by region and other forecasts.
Chapter 9 Competitive Landscape
It includes major players in the Artificial Intelligence in Transportation market. Moreover, it also covers the detailed company shares analysis in the report based on their product’s demand, market served, the number of products, applications, regional growth, and other factors.
Chapter 10 Research Methodology
The research methodology chapter includes the following main facts,
10.1 Coverage
10.2 Secondary Research
10.3 Primary Research
Chapter 11 Conclusion
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