市场调查报告书
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交通领域人工智慧市场:未来预测(2024-2029)AI in Transportation Market - Forecasts from 2024 to 2029 |
交通运输市场人工智慧预计将以11.80%的复合年增长率成长,市场规模从2024年的37.97亿美元增至2029年的61.96亿美元。
人工智慧技术和演算法正在整合到交通系统的尽可能多的领域,以提高效率、安全性和永续性。自动驾驶汽车的开发和部署的主要关键是利用电脑视觉、感测器融合、机器学习和深度学习来即时分析复杂的交通,以安全地穿越环境并检测周围的状况。
交通管理中的其他人工智慧应用领域包括利用感测器、摄影机和其他形式的资料来监控和优化城市和高速公路的交通流量。人工智慧技术透过检测和管理事故和其他安全相关问题等风险来确保交通系统的安全。电脑视觉系统分析交通和机场,机器学习模型编译分析结果以供进一步应用。基于人工智慧的最佳化演算法将透过减少排放、缓解拥塞以及鼓励替代燃料和替代交通途径来进一步改善交通流量。
交通人工智慧市场的驱动力
MaaS 是一种整合解决方案,旨在在一个平台上提供交通服务,并可为人工智慧的实施创造槓桿。在 MaaS 系统中,人工智慧演算法用于透过优化路线和预测需求来提供个人化的旅行体验。虽然市场上有许多不同的产品,但日立由 Google Cloud 提供支援的车队营运预测维护整合了物联网资料、RCM 技术和人工智慧技术,以优化车队维护效率和资产可靠性。这是透过扩增实境、机器学习演算法和外部资料来完成的,以实现对任务关键型车队资产的即时检查和维修。
总体而言,MaaS 的出现正在推动人工智慧交通技术市场的发展,并为通勤和旅行提供更有效率、便利和永续的行动解决方案打开大门。
交通人工智慧市场的地理格局
北美交通公司、政府组织和社区迅速采用人工智慧技术来提高其交通网路的效率、安全性和永续性。这种早期采用推动该地区在交通运输业的人工智慧方面处于领先地位。
总体而言,北美在人工智慧技术方面的领先地位及其支援生态系统、强大的工业影响力以及人工智慧在交通领域的早期采用,使其成为全球市场的强大参与企业。
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The AI in transportation market is expected to grow at a CAGR of 11.80%, reaching a market size of US$6.196 billion in 2029 from US$3.797 billion in 2024.
AI technology and algorithms are being integrated into as many areas of transportation systems as possible in a bid to increase efficiency, safety, and sustainability. The key to developing and deploying the autonomous car is using AI to traverse safe environments and detect surroundings using computer vision, sensor fusion, machine learning, and deep learning to analyze complicated traffic in real-time.
Other AI application areas in traffic management include sensors, cameras, and other forms of data monitoring and optimizing traffic flow in cities and highways. AI technologies have ensured safety and security within transportation systems by detecting and managing risks such as accidents and other security-related issues. Computer vision systems analyze traffic and airports, and machine learning models compile the analysis for further application. AI-based optimization algorithms further improve traffic flow by decreasing emissions, reducing congestion, and promoting alternative fuels and modes.
AI in transportation market drivers
MaaS was developed to provide transport services in one platform and a unified solution that can create leverage for AI adoption. In MaaS systems, AI algorithms are applied to optimize routes, predict demand, and thus provide individual travel experiences. Of the various products in the market, the Hitachi Predictive Maintenance for Fleet Operations powered by Google Cloud brings together IoT data, RCM methodologies, and AI technology that optimize fleet maintenance efficiency and asset dependability. This is done through augmented reality, machine learning algorithms, and external data, allowing for real-time inspections and repairs of mission-critical fleet assets.
Overall, the advent of Mobility-as-a-Service is what boosts AI technologies in the transportation market, opening doors for commuting and travel to more efficient, convenient, and sustainable mobility solutions.
AI in transportation market geographical outlook
North American transportation firms, government organizations, and communities were among the first to employ AI technology to improve transportation networks' efficiency, safety, and sustainability. This early adoption has driven the area to the top of AI in the transportation industry.
Overall, North America's leadership in AI technology, together with its supporting ecosystem, strong industrial presence, and early adoption of AI in transportation, establishes it as a prominent participant in the worldwide market.
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