Press release
Artificial Intelligence In Transportation Market 2023 : By Share, Industry Trends And Forecast 2032 | Volvo Cars, Mercedes-Benz Group AG, Scania AB, Peloton Interactive, Inc., Valeo
As per the Artificial Intelligence In Transportation market report by The Business Research Company, growing demand for autonomous vehicles is expected to propel the growth of artificial intelligence in the transportation market going forward. An autonomous vehicle is a medium of transport that can drive itself in "autopilot" mode from a starting point to a given destination using various in-vehicle technologies and sensors such as adaptive cruise control, active steering, anti-lock braking systems, GPS navigation technology, lasers, and radar.
The global artificial intelligence in transportation market size grew from $2.6 billion in 2022 to $3.1 billion in 2023 at a compound annual growth rate (CAGR) of 19.4%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The artificial intelligence in transportation market size is expected to grow to $6.3 billion in 2027 at a CAGR of 19.4%.
Read More On The Artificial Intelligence In Transportation Market Report Here:
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-transportation-global-market-report
Major competitors in the Artificial Intelligence In Transportation market include Volvo Cars, Mercedes-Benz Group AG, Scania AB, Peloton Interactive, Inc., Valeo, Xevo Inc., NVIDIA Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, IBM Corporation, Magna International Inc., and ZF Friedrichshafen AG.
The Artificial Intelligence In Transportation market is segmented -
By Offering: Hardware, Software
By Machine Learning Technology: Deep Learning, Conputer Vision, Context Awareness, Natural Language Processing
By Process: Signal Recognition, Object Recognition, Data Mining
By Application: Semi Autonomous Truck, Truck Platooning, Predictive Maintenance, Precision And Mapping, Autonomous Truck, Other Applications
By Geography: Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. North America was the largest region in the Artificial Intelligence In Transportation market.
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Artificial intelligence in transportation refers to using artificial intelligence to process and predict data and outcomes for travel and transportation operations. It collects traffic patterns, minimizes road congestion, and enhances public transportation schedules. This process helps in optimizing logistics and decreases turnaround time.
The Table Of Content For The Artificial Intelligence In Transportation Market Include:
1. Executive Summary
2. Artificial Intelligence in Transportation Market Characteristics
3. Artificial Intelligence in Transportation Market Trends And Strategies
4. Artificial Intelligence in Transportation Market - Macro Economic Scenario
5. Artificial Intelligence in Transportation Market Size And Growth
……
26. Africa Artificial Intelligence in Transportation Market
27. Artificial Intelligence in Transportation Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The Artificial Intelligence in Transportation Market
29. Artificial Intelligence in Transportation Market Future Outlook and Potential Analysis
30. Appendix
The "Global Artificial Intelligence In Transportation Market Report 2023" from The Business Research Company is a comprehensive report that covers every facet of a market covering over 60 geographies and over 2500 market segments. The regional and country breakdowns section analyzes the market in each geography and the market size by region and country. Furthermore, it assesses the market's historical and projected growth and identifies significant trends and strategies that companies can leverage for business expansion.
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