市場調查報告書
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1433438
2023-2030 年交通市場中的全球人工智慧 (AI)Global Artificial Intelligence (AI) in Transportation Market 2023-2030 |
預計在預測期內(2024-2031 年),全球交通市場人工智慧將以 12.1% 的CAGR成長。生成式人工智慧的日益普及和機器學習模型的改進是支持全球市場成長的關鍵因素。生成式人工智慧在互聯交通領域的影響已在資料智慧和人工智慧中得到認可,利用人工智慧和機器學習模型。市場參與者也專注於在交通領域引入基於人工智慧的生成解決方案,以進一步促進市場成長。例如,2023 年 6 月,Geotab Inc. 宣布透過在互聯交通產業建立新的機器學習模型,將生成式 AI 模型引入其平台。透過讓參與的消費者輕鬆存取有關其車輛的效率、永續性和性能的按需資訊,提高互聯交通的標準。
全球交通市場人工智慧按產品、流程和應用進行細分。根據產品,市場分為硬體和軟體。根據流程,市場可細分為訊號辨識、物件辨識和資料探勘。此外,根據應用,市場細分為交通管理、道路安全、停車管理、汽車遠端資訊處理和其他應用(車牌識別)。在這些產品中,由於使用物聯網和人工智慧技術開發了用於預測性車隊維護的先進軟體,預計軟體細分市場將佔據相當大的市場佔有率。
其中,汽車遠端資訊處理細分領域預計將在全球交通運輸市場人工智慧中佔據相當大的佔有率。該細分市場的成長歸因於運輸車隊營運商擴大採用基於人工智慧的整合解決方案。運輸車隊營運商將其車隊轉變為能源和混合燃料營運,並努力提高合規性、生產力和安全性。例如,2023年10月,Teletrac Navman US Ltd.推出了TN360 Transport——一款專注於運輸行業需求的基於人工智慧的整合解決方案。該平台提供了廣泛的有效功能,旨在提高車隊營運的永續性、確保合規標準、加快營運並提高安全性。
全球交通人工智慧市場根據地理位置進一步細分,包括北美(美國和加拿大)、歐洲(英國、義大利、西班牙、德國、法國和歐洲其他地區)、亞太地區(印度、中國、日本、韓國和亞洲其他地區)以及世界其他地區(中東和非洲以及拉丁美洲)。其中,由於人工智慧在交通運輸中的應用越來越多,以最大限度地減少交通堵塞、提高乘客安全並降低事故風險,預計亞太地區將在全球市場中佔據顯著佔有率。
在所有地區中,北美地區預計在預測期內將以相當大的CAGR成長。區域成長歸因於擴大採用基於人工智慧的技術來最佳化交通並提高交通系統的整體效率。市場參與者透過改善道路安全、最佳化交通號誌配時、增強最後一哩路的交付以及提供市場洞察來提供基於技術的交通解決方案。例如,2023 年 11 月,INRIX, Inc. 推出了 INRIX Compass,這是一種創新的人工智慧驅動的交通智慧技術。 Compass 採用產生人工智慧 (GenAI) 和 INRIX 約 50 PB 的資料湖來識別根本原因、提供主動建議並有效處理與交通相關的問題。
服務全球交通市場人工智慧的主要公司包括AltexSoft Inc.、Aurora Innovation Inc.、通用汽車、英特爾公司、NVIDIA公司等。市場參與者透過各種策略(包括併購、合作、合作、融資和新產品發布),為市場成長做出了巨大貢獻,以保持市場競爭力。例如,2021 年 6 月,Cubic Corp. 宣布與 CVEDIA 建立 Cubic 交通系統 (CTS) 業務部門合作夥伴關係,為 GRIDSMART 全向攝影機和其他智慧交通系統 (ITS) 解決方案建立大規模深度學習模型。
Global AI in Transportation Market Size, Share & Trends Analysis Report by Offering (Hardware and Software), by Process (Signal Recognition, Object Recognition, and Data Mining), and by Application (Traffic Management, Road Safety and Security, Parking Management, Automotive Telematics and Other), Forecast Period (2024-2031)
The global 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.
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.
Among the applications, the automotive telematics sub-segment is expected to hold a considerable share of the global AI in the transportation market. The segmental growth is attributed to the increasing adoption of AI-based integrated solutions for transportation fleet operators. Transportation fleet operators convert their fleets into energy and mixed fuel operations and work to improve compliance, productivity, and safety. For instance, in October 2023, Teletrac Navman US Ltd. launched TN360 Transport- an AI-based integrated solution focused on the needs of the transport industry. The platform provides a wide range of effective features that are intended to improve fleet operations' sustainability, assure compliance standards, expedite operations, and improve safety.
The global AI in transportation market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, Asia-Pacific is anticipated to hold a prominent share of the market across the globe, owing to the growing adoption of AI in transportation to minimize traffic congestion, increase passenger safety, and reduce the risk of accidents.
Among all regions, the North American region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to the growing adoption of AI-based technology to optimize transportation and improve the overall efficiency of the transportation system. Market players provide technology-based transportation solutions by improving road safety, optimizing traffic signal timing, enhancing last-mile delivery, and providing market insights. For instance, in November 2023, INRIX, Inc. launched INRIX Compass, an innovative AI-powered technology for transportation intelligence. Compass employs generative artificial intelligence (GenAI) and INRIX's roughly 50-petabyte data lake to identify root causes, provide proactive recommendations, and effectively handle transportation-related issues.
The major companies serving the global AI in the transportation market include AltexSoft Inc., Aurora Innovation Inc., General Motors, Intel Corp., NVIDIA Corp., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in June 2021, Cubic Corp. announced its Cubic Transportation Systems (CTS) business division partnership with CVEDIA scale deep learning models for GRIDSMART omnidirectional cameras and other intelligent transportation systems (ITS) solutions.