AI in transportation market is anticipated to grow at a CAGR of 12.1% during the forecast period (2024-2031). The growing adoption of generative AI with improving machine learning models is the key factor supporting the growth of the market globally. The impact of generative AI in the connected transportation landscape has been recognized in data intelligence and AI, leveraging artificial intelligence and machine learning models. The market players are also focusing on introducing AI-based generative solutions in transportation that further bolster the market growth. For instance, in June 2023, Geotab Inc. announced that it introduced generative AI models into its platform by setting a new machine learning models in the connected transportation industry. By increasing the standard for connected transportation by giving participating consumers easy access to on-demand information about the efficiency, sustainability, and performance of their vehicles.
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The global AI in transportation market is segmented on the offering, process, and application. Based on the offering, the market is sub-segmented into hardware and software. Based on the process, the market is sub-segmented into signal recognition, object recognition, and data mining. Further, based on application, the market is sub-segmented into traffic management, road safety and security, parking management, automotive telematics, and other applications (license plate recognition). Among the offerings, the software sub-segment is anticipated to hold a considerable share of the market owing to the development of advanced software for predictive fleet maintenance using IoT and AI technologies.
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- Market Coverage
- Market number available for – 2024-2030
- Base year- 2023
- Forecast period- 2024-2030
- Segment Covered- By Source, By Product Type, By Applications
- Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
- , and others
Global Artificial Intelligence AI in Transportation Market Report Segment
By Offering
- Hardware
- Software
By Process
- Signal Recognition
- Object Recognition
- Data Mining
By Application
- Traffic Management
- Road Safety and Security
- Parking Management
- Automotive Telematics
- Other (License plate recognition)
Global Artificial Intelligence AI in Transportation Market Report Segment by Region
North America
- United States
- Canada
Europe
- UK
- Germany
- Italy
- Spain
- France
- Rest of Europe
Asia-Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Rest of the World
- Latin America
- Middle East & Africa
The Report Covers
- Market value data analysis of 2023 and forecast to 2031.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global AI in transportation market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
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