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What is the current size and annual growth rate of the generative artificial intelligence (ai) in transportation market?
The generative artificial intelligence (AI) in transportation market size has grown rapidly in recent years. It will grow from $1.01 billion in 2024 to $1.21 billion in 2025 at a compound annual growth rate (CAGR) of 19.6%. The growth in the historic period can be attributed to the increasing volume of data generated in transportation systems fuels, the demand for autonomous vehicles, rising consumer expectations, rising interest in traffic management, and increasing focus on safety and efficiency.
The generative artificial intelligence (AI) in transportation market size is expected to see rapid growth in the next few years. It will grow to $2.46 billion in 2029 at a compound annual growth rate (CAGR) of 19.5%. The growth in the forecast period can be attributed to increasing focus on cybersecurity, increasing supply chain management, the rise of smart cities, growth of mobility-as-a-service (MaaS), expansion of autonomous vehicles, and increasing data availability. Major trends in the forecast period include continuous improvements in AI algorithms, adoption of smart solutions, advancements in 5G technology, and convergence of AI with the Internet of Things (IoT), development in cloud-based communication technology.
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Which major factors have contributed to the expansion of the generative artificial intelligence (ai) in transportation market?
The surge in demand for autonomous vehicles is expected to propel the growth of generative artificial intelligence (AI) in the transportation market going forward. Autonomous vehicles (AVs), also known as self-driving or driverless vehicles, are vehicles that can navigate and operate without direct human control by using a combination of sensors, cameras, radar, artificial intelligence (AI), and machine learning algorithms. The demand for autonomous vehicles is rising due to several factors, such as safety concerns, government policies and incentives, consumer preferences, and traffic congestion. Generative AI enhances autonomous vehicle training by producing diverse driving scenarios and simulations, improving system robustness and safety. It also creates personalized user interfaces to better align with user preferences and enhance interactions. For instance, in December 2022, according to the National Highway Traffic Safety Administration, a US-based government agency, there will be 3.5 million self-driving vehicles on U.S. roads by 2025 and 4.5 million by 2030. Therefore, the surge in demand for autonomous vehicles drives the generative artificial intelligence (AI) in the transportation market.
How is the generative artificial intelligence (ai) in transportation market segmented?
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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Who are the top competitors in the generative artificial intelligence (ai) in transportation market?
Major companies operating in the generative artificial intelligence (AI) in transportation market areAmazon 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.
Which key trends are expected to influence the generative artificial intelligence (ai) in transportation market in the coming years?
Major companies operating in the generative artificial intelligence (AI) in transportation market are focusing on developing advanced technology such as generative AI (GenAI) chatbots to enhance personalized user experiences. Generative AI (GenAI) chatbots are advanced systems that enable natural language conversations by using cutting-edge machine learning models. For instance, in August 2024, Wiliot, an Israel-based company developing Internet of Things technology, launched WiliBot, a generative AI (GenAI) chatbot that enables natural-language conversations with any ambient IoT-connected product. It is an advanced tool designed to connect physical products with digital intelligence, helping businesses and consumers to interact meaningfully about their products and supply chains. Integrating a large language model (LLM) with Wiliot’s ambient IoT technology, WiliBot allows users to ask natural language questions about product details, such as shelf life, transport history, and sustainability metrics. It leverages real-time data from Wiliot’s self-powered IoT Pixels, which monitor factors like location, temperature, and humidity. This data is sent via Bluetooth to the Wiliot cloud for analysis. WiliBot’s AI algorithms can detect supply chain issues, such as temperature deviations, and generate alerts or recommendations to enhance operational efficiency.
Which regional trends are influencing the generative artificial intelligence (ai) in transportation market, and which area dominates the industry?
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 Does The Generative Artificial Intelligence (AI) In Transportation Market Report 2025 Offer?
The generative artificial intelligence (ai) in transportation market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Generative artificial intelligence (AI) in transportation refers to using AI models that generate new data to enhance different aspects of transportation systems. Its primary goals are to boost efficiency, safety, and innovation by creating better system designs, forecasting and alleviating traffic issues, optimizing logistics and fleet management, and advancing vehicle technologies.
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