AI in Mobility Market - Global Forecast 2025-2030

Artificial intelligence in mobility is transforming the global movement of people and goods, empowering senior leaders to modernize transportation systems with intelligent, secure, and connected solutions. As AI adoption accelerates, organizations are leveraging technology to keep pace with operational complexity and drive future-ready mobility strategies.

Market Snapshot: AI in Mobility Market Growth and Trends

The AI in Mobility Market is expanding rapidly, with forecasts indicating growth from USD 9.90 billion in 2024 to USD 11.41 billion in 2025, and a projected total of USD 23.63 billion by 2030. This represents a compound annual growth rate (CAGR) of 15.60%. Industry momentum is propelled by increased investment and accelerated integration of smart transport technologies across commercial, public sector, and passenger mobility environments. Key market drivers include the increased focus on automation, enhanced safety, and advanced connectivity. Senior decision-makers are maximizing value by aligning operational strategies with these technology trends, optimizing organizational resilience in the context of digital and regulatory evolution.

Scope & Segmentation

• Mobility Type: Includes air, land, rail, road, and maritime transportation, enabling organizations to respond to diverse and evolving mobility requirements globally.
• Technology: Covers computer vision (such as image recognition, object detection, and video analysis), multiple machine learning approaches (reinforcement, supervised, and unsupervised), natural language processing, and sensor fusion to power advanced mobility system applications.
• Deployment Mode: Offers both cloud and on-premise AI solutions, providing flexibility for organizations to meet evolving security standards, integration needs, and scalability objectives.
• Application: Incorporates advanced driver assistance, full autonomous capability, predictive maintenance, telematics, fleet management, and route optimization—supporting operational gains for logistics, urban planners, and mobility services.
• End User: Serves commercial transportation and logistics providers, government and municipal agencies, and passenger services (including individuals and ride-hailing operators), underscoring AI’s broad, cross-functional value.
• Regions: Analyzes market opportunities across the Americas, Europe, Middle East & Africa, and Asia-Pacific, reflecting variations in regulatory policy, adoption patterns, and technology readiness that impact strategies for regional expansion.
• Key Companies: Includes major players such as NVIDIA, IBM, AB Volvo, Alphabet, Aurora Innovation, BMW, Continental, Denso, Ford, GM, Intel, Magna, Microsoft, Ouster, Qualcomm, Renesas, Bosch, Scania, Tesla, Valeo, Volkswagen, Xpeng, ZF Friedrichshafen, Toyota, Uber, Excelfore, HERE Global, Siemens, and Aisin, who are setting industry standards with unique approaches and investments in AI-driven mobility.

Key Takeaways: Strategic Insights for AI in Mobility Decision-Makers

• Integrated AI enables real-time analytics, which improves operational efficiency, safety, and decision-making quality across all mobility sectors.
• Advancements in sensor technology and robust connectivity support the rollout of autonomous and intelligent transportation systems, providing operational advantages in diverse geographies including both cities and remote areas.
• Regulatory policies are evolving, opening opportunities for trials involving autonomous vehicles and drone logistics, while emphasizing a balance between compliance and ongoing innovation.
• Focused investment in data governance and secure digital infrastructure ensures scalability and instills trust across organizations and end users by meeting privacy and compliance standards.
• Collaboration among manufacturers, technology vendors, government bodies, and startups is driving next-generation solutions and best practices, with partnerships serving as an accelerator for market adaptation.

Tariff Impact: Responding to U.S. Tariffs on AI Mobility Components

The introduction of new U.S. tariff schedules for 2025 is driving mobility firms to reevaluate sourcing and global supply chain approaches for core AI components, especially semiconductors and sensors. This policy shift encourages careful assessment of domestic and overseas suppliers, with considerations for cost, logistics, and strategic competitiveness. Tariff adjustments are also impacting how organizations plan investments and allocate resources for autonomous and AI-enabled mobility initiatives.

Methodology & Data Sources

This report relies on a hybrid research methodology, combining direct interviews with industry experts and thorough secondary analysis of technical literature, regulatory updates, and market databases. Analytical rigor ensures findings are robust, with data validation through triangulation and advanced modeling.

Why This Report Matters

• Enables senior leaders to benchmark and evaluate technologies across mobility sectors, uncovering actionable trends and strategic opportunities.
• Clarifies operational and regulatory risks in supply chain dynamics, supporting resilient sourcing and compliance strategies in a global context.
• Equips organizations to anticipate emerging regulations and reposition for growth in AI-enhanced mobility systems.

Conclusion

AI-driven solutions are empowering transportation leaders to deliver scalable, secure, and innovative mobility services. This report equips organizations with the strategic analysis needed for strong market positioning amid ongoing technological and regulatory change.