The Artificial Intelligence In Transportation Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Artificial Intelligence In Transportation, The artificial intelligence in transportation market size has grown rapidly in recent years. It will grow from $3.11 billion in 2023 to $3.71 billion in 2024 at a compound annual growth rate (CAGR) of 19.4%. The growth in the historic period can be attributed to use of cameras and sensors for collision avoidance, use of ai to analyze information in real time, use of high-performance computing and deep learning systems, growth in the availability of big data for training ai models, increasing emphasis on automation for improved safety and efficiency.
The artificial intelligence in transportation market size is expected to see rapid growth in the next few years. It will grow to $7.54 billion in 2028 at a compound annual growth rate (CAGR) of 19.4%. The growth in the forecast period can be attributed to expansion of ai applications in supply chain and logistics for efficient operations, surge in adoption of ai for autonomous vehicle development, integration of ai in multimodal transportation planning and coordination, growth in the use of ai for real-time route optimization and traffic prediction, increasing demand for ai-driven solutions in public transportation systems. Major trends in the forecast period include development of ai-powered mobility-as-a-service (maas) platforms, emphasis on explainable ai for transparency in decision-making processes, use of ai for personalized and adaptive in-vehicle experiences, customization of ai solutions for specific transportation modes and industries, collaboration between ai developers and transportation stakeholders.
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. Autonomous vehicles employ artificial intelligence to operate the vehicle and to sense any accidents or obstacles. For instance, according to a survey conducted by AlixPartners, a financial advisory and global consulting firm, more than 60% of consumers are aware of level 2 autonomy in China, France, Italy, and Germany. Level 2 autonomy means some driving responsibilities are carried out by the vehicle; however, it is anticipated that the driver will respond to interactions in a timely manner. Also, more than 50% of the consumers are ready to give up vehicle ownership for robotaxi services. Therefore, an increase in the growing demand for autonomous vehicles will drive artificial intelligence in the transportation market.
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The Artificial Intelligence In Transportation market covered in this report is segmented –
1) By Offering: Hardware, Software
2) By Machine Learning Technology: Deep Learning, Computer Vision, Context Awareness, Natural Language Processing
3) By Process: Signal Recognition, Object Recognition, Data Mining
4) By Application: Semi-Autonomous Truck, Truck Platooning, Predictive Maintenance, Precision And Mapping, Autonomous Truck, Other Applications
The advancement of technologies is seen as an emerging trend in artificial intelligence (AI) in marketing market. Software companies are bringing new advanced technology for automated and integrated business models. For instance, in September 2021, LionAI, a US-based artificial intelligence (AI) ad-tech analyzer, launched its one-of-a-kind ad-tech and marketing automation platform for higher education marketing leaders. Using paid media and programming, this service was created to effectively increase brand awareness and student enrollment. LionAI’s ad-tech, according to the company’s team, allows clients to increase their digital marketing yield by 20% or more in 30–60 days, depending on their traffic. As a result of eliminating wasted ad spending, universities will be able to scale their digital advertising while providing potential students with an unforgettable experience.
Major Players:
The Artificial Intelligence In Transportation market report table of contents includes:
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. Global Artificial Intelligence In Transportation Market Size and Growth
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27. Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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