Emerging Generative Artificial Intelligence (AI) In Transportation Market Driver 2025-2034: The Surge In Demand For Autonomous Vehicles Propels Growth In The Generative AI In Transportation Market

How Is the Generative Artificial Intelligence (AI) In Transportation Market Projected to Grow, and What Is Its Market Size?
The market size for generative artificial intelligence (AI) in the transportation sector has expanded rapidly over recent years. There will be a surge from $1.01 billion in 2024 to $1.21 billion in 2025, indicating a compound annual growth rate (CAGR) of 19.6%. The historical growth is due to the surge in data produced by transportation systems, increased interest in autonomous vehicles, escalating consumer expectations, an upward trend in traffic management interest, and an enhanced emphasis on safety and efficiency.

Anticipated to flourish rapidly in the upcoming years, the size of the generative artificial intelligence (AI) in transportation market is expected to augment to $2.46 billion by 2029, with a compound annual growth rate (CAGR) of 19.5%. The growth during this forecast period can be ascribed to the heightening emphasis on cybersecurity, the amplification of supply chain management, the emergence of intelligent cities, the upswing in mobility-as-a-service (MaaS), the progression of self-driving vehicles, and the rise in data accessibility. Remarkable trends during the forecast period encompass ongoing enhancements in AI algorithms, the assimilation of intelligent solutions, progress in 5G technology, the merger of AI and the Internet of Things (IoT), and advancements in cloud-based communication technology.

What Are the Key Drivers Behind the Growth of the Generative Artificial Intelligence (AI) In Transportation Market?
The growing interest in autonomous vehicles is predicted to motivate the expansion of generative AI in the transportation sector. Autonomous vehicles, often termed as self-driving or driverless cars, are engineered to function and navigate without direct human management, harnessing the power of sensors, cameras, radar, AI, and machine learning algorithms. The rise in autonomous vehicles' demand is credited to a variety of factors such as safety issues, governmental policies, consumer inclinations and traffic overloads. Generative AI magnifies the training of autonomous vehicles by generating varied driving situations and simulations and increasing the system's sturdiness and safety. It also designs customised user interfaces to match user expectations and augment interactions. For instance, as per the National Highway Traffic Safety Administration, a government agency in the United States, by December 2022, the number of self-navigating cars on the American roads is anticipated to reach 3.5 million by 2025 and 4.5 million by 2030. Consequently, the growing demand for self-navigating vehicles is propelling the generative AI sector in the transportation market.

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Who Are the Major Industry Players Fueling Generative Artificial Intelligence (AI) In Transportation Market Expansion?
Major companies operating in the generative artificial intelligence (AI) in transportation market are Amazon Web Services Inc., accenture* plc, International Business Machines Corporation, Oracle Corporation, Continental AG, SAP SE, Nvidia Corporation, Capgemini SE, Cognizant Technology Solutions Corp., Infosys Limited, Adobe Inc., HCL Technologies Limited, Wipro Ltd., ServiceNow Inc., Blue Yonder Group Inc., Geotab Inc., Kinaxis Inc., DataRobot Inc., Resilinc Corporation, LLamasoft Inc., ClearMetal Inc.

What Are the Emerging Trends in the Generative Artificial Intelligence (AI) In Transportation Industry?
Prominent firms in the generative AI in transportation sector are concentrating on the creation of cutting-edge technology like GenAI chatbots to improve customized user interactions. GenAI chatbots are sophisticated systems that facilitate natural language dialogue utilizing advanced machine learning models. To cite an example, in August 2024, Wiliot, an Israel-based firm engaged in the development of IoT technology, unveiled WiliBot, a GenAI chatbot that enables natural-language dialogue with any ambient IoT-connected item. This sophisticated instrument is designed to meld physical products with digital intellect, assisting businesses and consumers in engaging in substantial conversations about their products and supply chains. Merging a large language model (LLM) with Wiliot's ambient IoT technology, WiliBot empowers users to inquire natural language questions relating to product details, such as shelf life, transport history, and sustainability statistics. It harnesses real-time information from Wiliot's autonomous IoT Pixels that keep track of aspects like location, temperature, and moisture. This information is transmitted via Bluetooth to the Wiliot cloud for scrutiny. WiliBot's AI mechanisms can identify supply chain problems, such as temperature variances, and generate warnings or suggestions to boost operational efficiency.

How Is the Segmentation of the Generative Artificial Intelligence (AI) In Transportation Market Defined?
The generative artificial intelligence (AI) in transportation market covered in this report is segmented -

1) By Type: Services; Solution
2) By Application: Route Optimization; Customer Support; Assess Safety; Predictive Maintenance; Other Applications
3) By End-User: Automotive Manufacturers; Transportation Agencies

Subsegments:
1) By Services: AI-Powered Traffic Management Services; Predictive Maintenance Services; Autonomous Vehicle Development Services; Route Optimization And Planning Services; AI-Based Logistics And Supply Chain Services
2) By Solution: Autonomous Driving Solutions; AI-Based Fleet Management Solutions; Intelligent Transport Systems (ITS) Solutions; AI-Powered Navigation And Mapping Solutions; AI-Driven Safety And Security Solutions

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What Is the Leading Region in the Generative Artificial Intelligence (AI) In Transportation Market?
North America was the largest region in the generative artificial intelligence (AI) in the transportation market in 2024. The regions covered in the generative artificial intelligence (AI) in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

What Is Covered In The Generative Artificial Intelligence (AI) In Transportation Global Market Report?

- Market Size Analysis: Analyze the generative artificial intelligence (ai) in transportation Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the generative artificial intelligence (ai) in transportation Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the market.
- Market Contribution: Evaluate contributions of different segments to the overall generative artificial intelligence (ai) in transportation market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the generative artificial intelligence (ai) in transportation market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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