AI in Mobility Market, valued at USD 9.21 Billion in 2024, is projected to surpass USD 53.75 Billion by 2033, indicating a robust CAGR of 21.8%

AI in mobility refers to the integration of artificial intelligence technologies in transportation systems to enhance efficiency, safety, and automation. It leverages machine learning, computer vision, and data analytics to optimize traffic flow, vehicle navigation, and transportation management. AI enables real-time decision-making, predictive maintenance, and autonomous driving, transforming the future of mobility.

AI enhances autonomous vehicles, smart traffic management, and ride-sharing by improving navigation, reducing congestion, and increasing road safety. It powers fleet management, demand forecasting, and multimodal transport integration for efficient urban mobility.

AI in Mobility Market Statistics

• The global AI in mobility market is valued at USD 9.21 billion in 2024 and is projected to grow at a CAGR of over 21.8% from 2025 to 2033
• North America dominates the market, generating USD 3.13 billion in revenue in 2024
• The Asia-Pacific region is expected to witness rapid growth, with a projected CAGR of 24%
• Cloud-based deployment held a significant market share in 2024
• A key trend in the AI in mobility market is the rapid advancement of AI-driven self-driving technology, enhancing perception, decision-making, and real-time navigation

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AI in Mobility Market Dynamics

Increased Adoption of AI in Ride-Sharing and Fleet Management Fuels the AI In Mobility Market Value

The increased integration of AI into ride-sharing and fleet management is propelling the artificial intelligence in mobility market. AI-powered algorithms improve route planning, minimize wait times, and increase fuel efficiency, resulting in better overall operational performance. Predictive analytics in fleet management improves vehicle maintenance, lowering downtime and operational expenses. AI-driven demand forecasting allows ride-sharing services to match supply with real-time demand, resulting in improved consumer experiences. As firms invest in AI-powered mobility solutions, the industry grows, improving efficiency, safety, and sustainability.

Integration of AI with Smart City Initiatives Offer Significant AI in Mobility Market Opportunity

According to the NITI Aayog, the Government of India's 100 Smart Cities initiative aims to promote urban planning, sustainable land use, and multimodal integration. AI-powered mobility solutions can help to alleviate traffic congestion, optimize traffic flow, and improve goods movement. AI helps smart city mobility by enabling real-time transportation scheduling, accessibility enhancements, and predictive traffic alerts. This endeavor encourages the application of artificial intelligence in urban transportation, hence enhancing efficiency and sustainability in India's mobility industry. Integrating AI into smart city initiatives enhances traffic management, public transportation efficiency, and multimodal integration, resulting in increased demand for AI-driven mobility solutions and market growth. As governments and municipalities invest in AI-powered transportation, the artificial intelligence in mobility market continues to grow, fueling innovation and smart city transformation.

AI in Mobility Market Segmentation

The global market for AI in mobility has been segmented into, technology, deployment mode, mobility type, application, and region.

• Technology is classified into machine learning, natural language processing (NLP), computer vision, robotics, and deep learning
• Deployment mode are divided into cloud-based, and on-premises
• Mobility type are categorized into shared mobility, personal mobility, public transport, and freight & logistics
• Application are sub-segmented into autonomous vehicles, ride-hailing & sharing, fleet management, traffic management systems, smart infrastructure, and public transportation optimization
• The AI in mobility market is geographically split into Europe, North America, Latin America, APAC, and the Middle East and Africa

AI in Mobility Market Regional Outlook

In terms of artificial intelligence (AI) in mobility market analysis, North America dominates, thanks to significant investments in autonomous vehicles, AI-powered ride-sharing and smart transportation infrastructure. The presence of big technology businesses, automakers, and sophisticated research institutes hastens innovation and widespread AI use. Government initiatives and legislative assistance help to encourage AI-powered mobility solutions, such as self-driving cars and intelligent traffic management. With ongoing developments, North America is at the forefront of AI-powered transportation solutions.

Artificial intelligence (AI) in mobility market is rapidly expanding throughout Asia-Pacific as a result of increased urbanization, government efforts, and increased investment in smart transportation. Countries such as China, Japan, and South Korea are pioneers in autonomous driving, AI-powered public transportation, and intelligent traffic management. Companies are making significant investments in AI-powered ride-hailing, high-speed train automation, and linked vehicle technologies. For example, in July 2023, Volkswagen announced a strategic initiative to build autonomous, or self-driving, vehicles for ride-hailing and goods delivery services in Austin, Texas, with a 2026 debut date. The increasing demand for electric and self-driving vehicles, paired with developments in artificial intelligence, is transforming regional mobility.

AI in Mobility Market Players

AI in mobility companies profiled in the report include Baidu, Inc., Magna International Inc., NVIDIA Corporation, Aisin Seiki Co., Ltd., Alphabet Inc., Ford Motor Company, Continental AG, General Motors Company, Intel Corporation, BMW AG, Denso Corporation, International Business Machines Corp., Aurora Innovation, Inc., and Microsoft Corporation.

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AI in Mobility Market Key Insights

Mr. Richard Johnson

Acumen Research and Consulting

India: +91 8983225533

E-mail: [email protected]