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市场调查报告书
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行动市场中的人工智慧（按行动类型、技术类型和应用划分）- 2025 年至 2030 年全球预测

AI in Mobility Market by Mobility Type, Technologies Type, Application - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 184 Pages | 商品交期: 最快1-2个工作天内

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预计2024年行动人工智慧市场价值将达到95.9亿美元，2025年将达到108.6亿美元，复合年增长率为13.60%，到2030年将达到206.1亿美元。

主要市场统计数据
基准年 2024 年 95.9 亿美元
预计 2025 年 108.6亿美元
预测年份 2030 206.1亿美元
复合年增长率（%） 13.60％

在科技快速发展的时代，人工智慧不再只是科幻概念，而是再形成移动出行的变革力量。尖端感测器和资料分析与先进演算法的结合，正在为整个交通生态系统带来模式转移。随着车辆变得更加智慧、基础设施变得更加互联、服务变得更加集成，人工智慧将成为解决复杂挑战和创造新机会的关键。本介绍为深入讨论人工智慧如何推动创新、优化营运和提高整体行动效能奠定了基础，使新兴新创新兴企业和全球巨头都能利用这些见解为策略决策提供资讯。

行动出行领域的人工智慧市场转型

交通出行格局正在经历一系列变革时期，从根本上改变了我们对交通的看法。人工智慧技术的进步带来了即时资料整合、预测分析和自主操作能力的突破。这些变化解决了交通拥堵、不稳定的需求模式以及传统移动解决方案的环境影响等长期存在的挑战。此外，这种变革不仅限于技术，也影响经营模式、法律规范甚至对移动性的文化观念。行业相关人员目前正在见证从传统系统转向整合、自适应和资料驱动的解决方案的深刻转变。

增强的连接性和更智慧的演算法使车辆和基础设施能够无缝通讯，其影响遍及运输市场的每个主要领域。这项转变策略性地将硬体和软体创新与深厚的领域专业知识相结合，有效地将孤立的系统转变为同步的智慧网路。其结果是更有效率的营运模式和车辆管理、路线优化和预测性维护等流程的创新。为决策者提供长期预测能力，以改善行动解决方案的规划和扩展。最终，接受这样的转型将使公司处于更好的位置来降低成本、提高安全性并提供更具吸引力的客户体验。

细分洞察了解市场规模

仔细观察市场区隔可以发现几个关键维度，加深我们对行动人工智慧的理解。第一个维度关注流动性的类型，严格将市场划分为空中运输、陆地流动性和海上流动性。每个产业都有自己的营运动态、技术要求和法规环境。了解这些差异使相关人员能够客製化创新以应对特定挑战，无论是空战所需的精确度还是海上所需的强健适应性。

除了行动类型之外，技术方面在定义市场机会也发挥关键作用。这个方面包括广泛的基础技术和新兴技术，例如增强环境理解的电脑视觉和感知、支持决策的综合资料分析和巨量资料框架，以及机器学习和深度学习在实现动态适应性方面的作用。自然语言处理有助于改善人机互动，而感测器融合和物联网集成为即时资料聚合铺平了道路。此外，类比和数位孪生提供了有助于预测和管理现实世界场景的虚拟环境，从而改善整体策略规划过程。

应用程式细分透过专注于关键使用案例提供了对市场趋势的进一步洞察。其中包括自动驾驶与ADAS（高级驾驶辅助系统）相结合以确保安全和效率，以及物流和供应链优化以简化业务并改善交付结果。预测性维护和诊断在最大限度地减少停机时间和防止系统故障方面发挥关键作用。我们专注于安全和保障，以满足对抵御网路威胁的强大系统的需求，同时交通和车辆管理的不断创新确保移动服务以最佳效率运作。这些细分洞察提供了一个整合行动性和人工智慧技术各种元素的综合框架。

目录

第 1 章 简介

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 对由先进的人工智慧功能驱动的高效、永续的交通系统的需求日益增加
      • 移动即服务平台的兴起，打造一体化数位交通生态系统
      • 消费者对联网汽车和自动驾驶汽车体验的需求不断增加
    • 限制因素
      • 有效的人工智慧建模所需的资料有限且可得性参差不齐
    • 机会
      • 使用机器学习演算法增强即时路线优化和动态交通流管理
      • 基于自然语言处理的客户支援和行程规划工具集成
    • 任务
      • 收集和处理大量行动资料引发的资料隐私和安全问题
  • 市场区隔分析
    • 移动类型：人工智慧在重新定义陆地移动生态系统的安全性、效率和连结性方面发挥日益重要的作用
    • 应用：利用自动驾驶和驾驶辅助领域的人工智慧创新实现下一代行动出行
  • 波特五力分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

6. 行动市场中的人工智慧（按移动类型划分）

  • 空中运输
  • 陆运
  • 海上机动

7. 行动市场中的人工智慧（按技术类型划分）

  • 电脑视觉与识别
  • 资料分析和巨量资料
  • 机器学习和深度学习
  • 自然语言处理
  • 感测器融合和物联网集成
  • 仿真与数位双胞胎

第 8 章 行动 AI 市场（按应用划分）

  • 自动驾驶和辅助驾驶
  • 物流和供应链优化
  • 预测性维护和诊断
  • 安全与保障
  • 交通和车辆管理

9. 美国行动人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

10. 亚太地区行动人工智慧市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

11. 欧洲、中东和非洲行动市场人工智慧

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十二章 竞争格局

  • 2024 年市场占有率分析
  • FPNV 定位矩阵，2024 年
  • 竞争情境分析
  • 战略分析与建议

公司列表

  • Aisin Seiki Co., Ltd.
  • Alphabet Inc.
  • Aurora Innovation, Inc.
  • Baidu, Inc.
  • BMW AG
  • Denso Corporation
  • Ford Motor Company
  • General Motors Company
  • Intel Corporation
  • International Business Machines Corp.
  • Magna International Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Ouster Inc.
  • Qualcomm Technologies, Inc.
  • Renesas Electronics Corporation
  • Robert Bosch GmbH
  • Tesla, Inc.
  • Uber Technologies, Inc.
  • Valeo SA
  • Volkswagen AG
  • Xpeng Motors Inc.
  • ZF Friedrichshafen AG
Product Code: MRR-A40F58416F19

The AI in Mobility Market was valued at USD 9.59 billion in 2024 and is projected to grow to USD 10.86 billion in 2025, with a CAGR of 13.60%, reaching USD 20.61 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 9.59 billion
Estimated Year [2025] USD 10.86 billion
Forecast Year [2030] USD 20.61 billion
CAGR (%) 13.60%

In an era marked by rapid technological evolution, artificial intelligence is no longer just a concept from science fiction but a transformative force reshaping mobility. The convergence of advanced algorithms with state-of-the-art sensors and data analytics is catalyzing a paradigm shift across the transportation ecosystem. As vehicles become smarter, infrastructure more connected, and services increasingly integrated, AI is proving indispensable in solving complex challenges and creating new opportunities. This introduction sets the stage for an in-depth discussion on the ways AI is driving innovation, optimizing operations, and enhancing overall performance in mobility so that both emerging startups and global giants can harness these insights to inform strategic decisions.

Transformative Shifts in the Mobility Landscape

The mobility landscape is undergoing a series of transformative shifts that are fundamentally altering how we think about transportation. Advancements in AI technologies have led to breakthroughs in real-time data integration, predictive analytics, and autonomous operational capabilities. These changes address longstanding challenges such as traffic congestion, volatile demand patterns, and the environmental footprint of traditional mobility solutions. Furthermore, transformational shifts are not limited to technology; they are influencing business models, regulatory frameworks, and even cultural perceptions about mobility. Industry stakeholders are now witnessing a profound change that moves away from legacy systems toward integrated, adaptive, and data-driven solutions.

Every major segment of the transportation market is feeling the impact, as enhanced connectivity and smarter algorithms enable vehicles and infrastructure to communicate seamlessly. This shift involves a strategic convergence of hardware and software innovations with deep domain expertise, effectively turning isolated systems into a synchronized, intelligent network. The result is a more efficient operational model whereby processes such as fleet management, route optimization, and predictive maintenance are being revolutionized. Decision-makers are provided with long-range forecasting capabilities that enhance the planning and scaling of mobility solutions. Ultimately, by embracing these transformative shifts, organizations are better positioned to reduce costs, improve safety, and offer a more compelling customer experience.

Segmentation Insights: Understanding Market Dimensions

A detailed examination of market segmentation reveals several critical dimensions that enrich our understanding of AI in mobility. The first dimension focuses on mobility type, where the market is rigorously analyzed across air mobility, land mobility, and maritime mobility. Each of these areas is characterized by unique operational dynamics, technological requirements, and regulatory environments. By understanding these distinctions, stakeholders can tailor innovations to address specific challenges, whether it is the precision required in air mobility operations or the rugged adaptability demanded by maritime conditions.

In addition to mobility type, the technology dimension plays a pivotal role in defining market opportunities. This aspect encompasses a broad spectrum of foundational and emerging technologies including computer vision and perception that enhance environmental understanding, comprehensive data analytics and big data frameworks that underpin decision-making, and the role of machine learning and deep learning in enabling dynamic adaptability. Natural language processing contributes to improved human-machine interactions, while sensor fusion and IoT integration pave the way for real-time data aggregation. Furthermore, simulation and digital twins offer virtual environments that help predict and manage real-world scenarios, thereby elevating the overall strategic planning process.

The application segmentation further deepens the insight into market trends by focusing on key use cases. This includes domains such as autonomous driving paired with advanced driver assistance systems that ensure safety and efficiency, as well as logistics and supply chain optimization that streamline operations and improve delivery outcomes. Predictive maintenance and diagnostics play a crucial role in minimizing downtime and preventing system failures. The focus on safety and security addresses the need for robust systems resistant to cyber threats, and the continual innovation in traffic and fleet management ensures that mobility services can operate at peak efficiency. Together, these segmentation insights provide a comprehensive framework that integrates various elements of mobility and AI technologies into a cohesive strategic overview.

Based on Mobility Type, market is studied across Air Mobility, Land Mobility, and Maritime Mobility.

Based on Technologies Type, market is studied across Computer Vision & Perception, Data Analytics & Big Data, Machine Learning & Deep Learning, Natural Language Processing, Sensor Fusion & IoT Integration, and Simulation & Digital Twins.

Based on Application, market is studied across Autonomous Driving & Driver Assistance, Logistics & Supply Chain Optimization, Predictive Maintenance & Diagnostics, Safety & Security, and Traffic & Fleet Management.

Regional Insights: Evaluating the Global AI in Mobility Landscape

A global perspective on AI in mobility uncovers diverse trends across different regions, each contributing uniquely to the overall market evolution. Analysis shows that the Americas serve as a fertile ground for innovation, fueled by a sophisticated technological ecosystem and mature capital markets that support rapid testing and deployment of new technologies. The breadth of research, combined with a culture of experimentation and rapid prototyping, accelerates the rate of adoption and integration of AI-driven solutions.

In Europe, the Middle East, and Africa, the interplay of stringent regulatory standards, robust infrastructure development, and a focus on environmental sustainability creates a distinctive landscape. Here, the balance between technological innovation and regulatory compliance dictates the pace of advancement. Moreover, these regions benefit from collaborative initiatives that bridge public and private sector efforts, ensuring that mobility solutions align with both local and international expectations while addressing region-specific challenges.

The Asia-Pacific region stands out as a dynamic hub of technological progress and market expansion, characterized by aggressive investments in smart city projects and a burgeoning consumer market. The rapid urbanization, coupled with a strong grasp of emerging technologies, enables this region to harness the full potential of AI, from optimizing traffic flows to enhancing multi-modal transportation experiences. Collectively, these regional insights are indicative of a highly diversified market, with each area bringing complementary strengths that reinforce the benefits of integrating AI into mobility frameworks.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Assessing the Competitive Landscape: Key Companies In Focus

The competitive landscape in AI-driven mobility is defined by a robust mix of established giants and innovative disruptors, all of whom are striving to lead the way in technological advancement. Notable industry players include pioneering firms such as Aisin Seiki Co., Ltd., whose strong legacy in automotive manufacturing continues to be bolstered by cutting-edge AI applications. Tech behemoths like Alphabet Inc. have expanded their reach into new mobility segments, while companies such as Aurora Innovation, Inc. and Baidu, Inc. are recognized for pushing the boundaries of autonomous driving and real-time data integration.

Traditional automotive leaders such as BMW AG and Denso Corporation continue to amalgamate AI into their product offerings, ensuring that legacy brands remain relevant in this new era. Ford Motor Company and General Motors Company have adapted quickly as well, investing heavily in digital transformation to stay ahead of evolving consumer expectations. The presence of major technology companies like Intel Corporation and International Business Machines Corp. underscores the cross-industry integration of AI, marrying the precision of semiconductor technology with the strategic imperatives of mobility solutions.

Magnus names such as Magna International Inc. and Microsoft Corporation bring a wealth of experience in both operational excellence and technological innovation. NVIDIA Corporation is transforming the way visual computing and real-time processing are integrated into mobility. Additionally, prominent roles are played by companies including Ouster Inc., Qualcomm Technologies, Inc., Renesas Electronics Corporation, and Robert Bosch GmbH, whose commitment to research and development is reshaping core infrastructures. In the realm of electric and autonomous vehicles, Tesla, Inc. and Uber Technologies, Inc. are spearheading disruptive models, while Valeo SA, Volkswagen AG, Xpeng Motors Inc., and ZF Friedrichshafen AG are consolidating their positions by creating strategic partnerships and investing in next-generation solutions. This confluence of diverse players not only drives competitive innovation but also fosters an ecosystem that is agile, robust, and highly adaptive to emerging trends.

The report delves into recent significant developments in the AI in Mobility Market, highlighting leading vendors and their innovative profiles. These include Aisin Seiki Co., Ltd., Alphabet Inc., Aurora Innovation, Inc., Baidu, Inc., BMW AG, Denso Corporation, Ford Motor Company, General Motors Company, Intel Corporation, International Business Machines Corp., Magna International Inc., Microsoft Corporation, NVIDIA Corporation, Ouster Inc., Qualcomm Technologies, Inc., Renesas Electronics Corporation, Robert Bosch GmbH, Tesla, Inc., Uber Technologies, Inc., Valeo SA, Volkswagen AG, Xpeng Motors Inc., and ZF Friedrichshafen AG. Actionable Recommendations for Industry Leaders to Stay Ahead

For industry leaders aiming to maintain a competitive edge in a rapidly evolving landscape, the following strategic recommendations can serve as a roadmap for sustained success. First, it is imperative to invest in scalable AI solutions that can adapt to the intricacies of different mobility segments. This includes integrating advanced sensor technologies, embracing robust data analytics frameworks, and investing in simulation tools such as digital twins that allow for virtual testing and scenario planning. Leaders need to anticipate trends rather than react to them, which necessitates the development of agile strategies that can quickly incorporate new innovations.

Second, fostering collaborative ecosystems is essential for driving forward transformative change. Industry players should explore partnerships that bridge technology and manufacturing, as well as collaborations that unify academic research with practical deployments. Such alliances can accelerate the assimilation of emerging technologies and help share the burden of investment costs and risk. Strategic alliances with technology providers, component manufacturers, and even regulatory bodies can provide a more holistic approach to technological adoption and market penetration.

Third, staying attuned to regional market dynamics is critical. A nuanced understanding of local consumer behavior, regulatory environments, and infrastructure capabilities can guide the customization of AI solutions. Leaders should establish dedicated research initiatives to continually assess the impact of regulatory changes and evolving market needs in key regions. Integrating regional insights into the broader corporate strategy helps align business operations with both global and local priorities.

Additionally, it is crucial to cultivate a culture that supports continuous innovation and fosters a willingness to experiment. This involves embracing agile methodologies, encouraging ongoing professional development, and ensuring that teams are equipped with the necessary tools to adapt to a fast-paced technological landscape. Prioritizing investment in human capital can be just as important as investing in technology itself, as the right talent can drive creative problem-solving and innovative thinking.

Investment in robust cybersecurity measures also emerges as a critical factor. AI applications in mobility involve enormous amounts of data and complex networked systems, making them vulnerable to cyber threats. Industry leaders must not only invest in advanced security protocols but also develop contingency plans and regularly update their defenses to safeguard critical systems.

Finally, leaders must commit to sustainability by incorporating environmentally conscious practices into their technological roadmap. The focus on green technologies not only meets the increasing regulatory demands but also resonates with consumers who are increasingly aware of the environmental impact of mobility solutions. Deploying AI to optimize energy consumption, enhance battery performance, and minimize emissions is a dual win that strengthens both corporate responsibility and market positioning.

Conclusion: Integrating AI Innovations to Revolutionize Mobility

As explored throughout this comprehensive overview, the integration of artificial intelligence within the mobility sector is not merely a progressive trend, but a foundational shift that is set to redefine the future of transportation. The insights discussed-from technological advancements and market segmentation to regional dynamics and competitive strategies-illustrate that the successful deployment of AI is contingent upon an organization's ability to adapt, innovate, and collaborate. By understanding the underlying dynamics of how AI serves as a catalyst for change, industry stakeholders can better align their strategic initiatives with the broader trends shaping the mobility landscape.

The evolving digital framework has created an environment where data-driven decision making and real-time interactions are not just possibilities, but necessities. These transformative changes require a delicate balance between innovation and risk management, a combination of visionary strategy and practical execution. Embracing the power of AI has allowed organizations to enhance operational efficiencies, deliver superior customer experiences, and pioneer sustainable mobility solutions that address both today's and tomorrow's challenges.

Ultimately, the future belongs to those who can harness the potential of AI to not only meet current market demands but also to create innovative pathways that anticipate emerging trends. This journey is complex and multifaceted, but the benefits of a well-executed strategy are tremendous, offering a competitive advantage and shaping the trajectory of the mobility industry for years to come.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing demand for efficient and sustainable transport systems enhanced by advanced AI capabilities
      • 5.1.1.2. Rise of mobility-as-a-service platforms creating integrated digital transportation ecosystems
      • 5.1.1.3. Growing consumer demand for connected and autonomous vehicle experiences
    • 5.1.2. Restraints
      • 5.1.2.1. Limited availability and inconsistent quality of data required for effective AI modeling
    • 5.1.3. Opportunities
      • 5.1.3.1. Expansion of real-time route optimization and dynamic traffic flow management using machine learning algorithms
      • 5.1.3.2. Integration of natural language processing based customer support and journey planning tools
    • 5.1.4. Challenges
      • 5.1.4.1. Data privacy and security concerns arising from the collection and processing of massive mobility data
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Mobility Type: Increasing role of AI in redefining safety, efficiency, and connectivity in land mobility ecosystems
    • 5.2.2. Application: Harnessing AI innovations in autonomous driving and driver assistance for next-generation mobility
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. AI in Mobility Market, by Mobility Type

  • 6.1. Introduction
  • 6.2. Air Mobility
  • 6.3. Land Mobility
  • 6.4. Maritime Mobility

7. AI in Mobility Market, by Technologies Type

  • 7.1. Introduction
  • 7.2. Computer Vision & Perception
  • 7.3. Data Analytics & Big Data
  • 7.4. Machine Learning & Deep Learning
  • 7.5. Natural Language Processing
  • 7.6. Sensor Fusion & IoT Integration
  • 7.7. Simulation & Digital Twins

8. AI in Mobility Market, by Application

  • 8.1. Introduction
  • 8.2. Autonomous Driving & Driver Assistance
  • 8.3. Logistics & Supply Chain Optimization
  • 8.4. Predictive Maintenance & Diagnostics
  • 8.5. Safety & Security
  • 8.6. Traffic & Fleet Management

9. Americas AI in Mobility Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific AI in Mobility Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa AI in Mobility Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2024
  • 12.2. FPNV Positioning Matrix, 2024
  • 12.3. Competitive Scenario Analysis
    • 12.3.1. Phenom's acquisition of Bengaluru-based EDGE transforms AI-driven HR solutions
    • 12.3.2. CarDekho launches AI-driven mobility innovation leveraging AR/VR, advanced analytics, and multilingual voice assistants
    • 12.3.3. Stellantis acquired CloudMade's AI framework to enhance in-car experiences with predictive, personalized mobility solutions
  • 12.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Aisin Seiki Co., Ltd.
  • 2. Alphabet Inc.
  • 3. Aurora Innovation, Inc.
  • 4. Baidu, Inc.
  • 5. BMW AG
  • 6. Denso Corporation
  • 7. Ford Motor Company
  • 8. General Motors Company
  • 9. Intel Corporation
  • 10. International Business Machines Corp.
  • 11. Magna International Inc.
  • 12. Microsoft Corporation
  • 13. NVIDIA Corporation
  • 14. Ouster Inc.
  • 15. Qualcomm Technologies, Inc.
  • 16. Renesas Electronics Corporation
  • 17. Robert Bosch GmbH
  • 18. Tesla, Inc.
  • 19. Uber Technologies, Inc.
  • 20. Valeo SA
  • 21. Volkswagen AG
  • 22. Xpeng Motors Inc.
  • 23. ZF Friedrichshafen AG

LIST OF FIGURES

  • FIGURE 1. AI IN MOBILITY MARKET MULTI-CURRENCY
  • FIGURE 2. AI IN MOBILITY MARKET MULTI-LANGUAGE
  • FIGURE 3. AI IN MOBILITY MARKET RESEARCH PROCESS
  • FIGURE 4. AI IN MOBILITY MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL AI IN MOBILITY MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL AI IN MOBILITY MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 15. AMERICAS AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES AI IN MOBILITY MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 17. UNITED STATES AI IN MOBILITY MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. AI IN MOBILITY MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 23. AI IN MOBILITY MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. AI IN MOBILITY MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL AI IN MOBILITY MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AI IN MOBILITY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AI IN MOBILITY MARKET DYNAMICS
  • TABLE 7. GLOBAL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AI IN MOBILITY MARKET SIZE, BY AIR MOBILITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AI IN MOBILITY MARKET SIZE, BY LAND MOBILITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AI IN MOBILITY MARKET SIZE, BY MARITIME MOBILITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AI IN MOBILITY MARKET SIZE, BY COMPUTER VISION & PERCEPTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AI IN MOBILITY MARKET SIZE, BY DATA ANALYTICS & BIG DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AI IN MOBILITY MARKET SIZE, BY MACHINE LEARNING & DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AI IN MOBILITY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AI IN MOBILITY MARKET SIZE, BY SENSOR FUSION & IOT INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AI IN MOBILITY MARKET SIZE, BY SIMULATION & DIGITAL TWINS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL AI IN MOBILITY MARKET SIZE, BY AUTONOMOUS DRIVING & DRIVER ASSISTANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL AI IN MOBILITY MARKET SIZE, BY LOGISTICS & SUPPLY CHAIN OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL AI IN MOBILITY MARKET SIZE, BY PREDICTIVE MAINTENANCE & DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL AI IN MOBILITY MARKET SIZE, BY SAFETY & SECURITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL AI IN MOBILITY MARKET SIZE, BY TRAFFIC & FLEET MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. AMERICAS AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 25. AMERICAS AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 26. AMERICAS AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 28. ARGENTINA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 29. ARGENTINA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 30. ARGENTINA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 31. BRAZIL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 32. BRAZIL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 33. BRAZIL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 34. CANADA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 35. CANADA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 36. CANADA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 37. MEXICO AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 38. MEXICO AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 39. MEXICO AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 40. UNITED STATES AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. UNITED STATES AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 42. UNITED STATES AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 43. UNITED STATES AI IN MOBILITY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 44. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 46. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 47. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 48. AUSTRALIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. AUSTRALIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 50. AUSTRALIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. CHINA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 52. CHINA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. CHINA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 54. INDIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. INDIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 56. INDIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. INDONESIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. INDONESIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 59. INDONESIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 60. JAPAN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 61. JAPAN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 62. JAPAN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. MALAYSIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. MALAYSIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 65. MALAYSIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 66. PHILIPPINES AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. PHILIPPINES AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 68. PHILIPPINES AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. SINGAPORE AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. SINGAPORE AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 71. SINGAPORE AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 72. SOUTH KOREA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 73. SOUTH KOREA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 74. SOUTH KOREA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 75. TAIWAN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 76. TAIWAN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 77. TAIWAN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 78. THAILAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. THAILAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. THAILAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 81. VIETNAM AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. VIETNAM AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 83. VIETNAM AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 84. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 85. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 86. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 87. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 88. DENMARK AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 89. DENMARK AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 90. DENMARK AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 91. EGYPT AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. EGYPT AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 93. EGYPT AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 94. FINLAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 95. FINLAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 96. FINLAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 97. FRANCE AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. FRANCE AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. FRANCE AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 100. GERMANY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 101. GERMANY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 102. GERMANY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 103. ISRAEL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 104. ISRAEL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 105. ISRAEL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 106. ITALY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 107. ITALY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 108. ITALY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 109. NETHERLANDS AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 110. NETHERLANDS AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 111. NETHERLANDS AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 112. NIGERIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 113. NIGERIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 114. NIGERIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 115. NORWAY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 116. NORWAY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 117. NORWAY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 118. POLAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 119. POLAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 120. POLAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 121. QATAR AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 122. QATAR AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 123. QATAR AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 124. RUSSIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 125. RUSSIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 126. RUSSIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 127. SAUDI ARABIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 128. SAUDI ARABIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 129. SAUDI ARABIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 130. SOUTH AFRICA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 131. SOUTH AFRICA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 132. SOUTH AFRICA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 133. SPAIN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 134. SPAIN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 135. SPAIN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 136. SWEDEN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 137. SWEDEN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 138. SWEDEN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 139. SWITZERLAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 140. SWITZERLAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 141. SWITZERLAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 142. TURKEY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 143. TURKEY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 144. TURKEY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 145. UNITED ARAB EMIRATES AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 146. UNITED ARAB EMIRATES AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 147. UNITED ARAB EMIRATES AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 148. UNITED KINGDOM AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
  • TABLE 149. UNITED KINGDOM AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
  • TABLE 150. UNITED KINGDOM AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 151. AI IN MOBILITY MARKET SHARE, BY KEY PLAYER, 2024
  • TABLE 152. AI IN MOBILITY MARKET, FPNV POSITIONING MATRIX, 2024