市場調查報告書
商品編碼
1314722
全球預測性車輛技術市場研究報告 - 2023 年至 2030 年的行業分析、規模、佔有率、成長、趨勢和預測Global Predictive Vehicle Technology Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030 |
據預測,到2030 年,全球預測性車輛技術市場的需求將從2022 年的345.6 億美元達到近1641.2 億美元,2023-2030 年的複合年成長率為21.5%。
預測性車輛技術是指利用數據分析和機器學習技術來預測和預報車輛行為、性能和狀況的一套先進系統和算法。它包括各種技術,使車輛能夠根據即時和歷史數據做出智慧、主動的決策。它利用一系列感測器,包括鏡頭、雷達、雷射雷達和車對車(V2V)或車對基礎設施(V2I)通訊系統,收集有關車輛周圍環境、路況、交通模式等的數據。然後對這些數據進行處理和分析,以便在車內進行預測並為決策過程提供資訊。
先進駕駛輔助系統(ADAS)需求的不斷成長和對車輛安全的重視推動了預測性汽車技術的應用。預測算法分析即時數據和預測潛在風險的能力符合智慧安全系統的需求。車輛連接性的不斷提高以及車內感測器和系統產生的數據的可用性,使得對車輛行為、維護需求和交通狀況的分析和預測成為可能。對車輛性能最佳化和效率的追求促進了預測性車輛技術的實施。它通過分析數據來最佳化能源管理、預測維護需求並提高車輛的整體性能。此外,人工智慧和數據分析技術的進步,使人們能夠從海量的車輛數據中獲得準確的預測和可行的見解。此外,監管要求和安全標准在推動預測性汽車技術的應用和促進汽車先進安全系統方面發揮著重要作用。改善用戶體驗的需求以及電動汽車和自動駕駛汽車的日益普及也促進了市場的成長。
研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰了解行業結構,評估全球競爭吸引力。此外,這些工具還對全球預測性車輛技術市場的各個細分市場進行了全面評估。預測性車輛技術行業的成長和趨勢為本研究提供了全面的方法。
本部分涵蓋了區域展望,重點介紹了北美、歐洲、亞太地區、拉丁美洲以及中東和非洲地區當前和未來的預測性車輛技術市場需求。此外,報告還重點介紹了所有主要地區各個應用領域的需求、估計和預測。
研究報告還涵蓋了市場中主要企業的綜合概況以及全球競爭格局的深入分析。預測性車輛技術市場的主要參與者包括博世(德國)、大陸集團(德國)、法雷奧(法國)、Garrett Motion(瑞士)、愛信精機(日本)、Aptiv(英國)等。本節全面介紹了競爭格局,包括各種戰略發展,如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布及其他發展。
如果您有任何客製化要求,請寫信給我們。我們的研究團隊可根據您的需求提供客製化報告。
The global demand for Predictive Vehicle Technology Market is presumed to reach the market size of nearly USD 164.12 BN by 2030 from USD 34.56 BN in 2022 with a CAGR of 21.5% under the study period 2023 - 2030.
Predictive vehicle technology refers to a set of advanced systems and algorithms that utilize data analysis and machine learning techniques to anticipate and predict vehicle behaviour, performance, and conditions. It encompasses various technologies that enable vehicles to make intelligent and proactive decisions based on real-time and historical data. It utilizes a range of sensors, including cameras, radar, lidar, and vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communication systems, to collect data about the vehicle's surroundings, road conditions, traffic patterns, and more. This data is then processed and analyzed to make predictions and inform decision-making processes within the vehicle.
The growing advanced driver assistance systems (ADAS) demand and the emphasis on vehicle safety drive the adoption of predictive vehicle technology. The ability of predictive algorithms to analyze real-time data and predict potential risks aligns with the need for intelligent safety systems. The increasing connectivity of vehicles and the availability of data generated by sensors and systems within vehicles enable the analysis and prediction of vehicle behaviour, maintenance needs, and traffic conditions. The pursuit of vehicle performance optimization and efficiency encourages the implementation of predictive vehicle technology. It analyzes data to optimize energy management, predict maintenance needs, and enhance overall vehicle performance. Moreover, the advancements in artificial intelligence and data analytics technologies enable accurate predictions and actionable insights from vast amounts of vehicle data. Furthermore, regulatory requirements and safety standards play a significant role in driving the adoption of predictive vehicle technology and promoting advanced safety systems in vehicles. The demand for improved user experiences and the increasing adoption of electric and autonomous vehicles also contribute to market growth.
The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of predictive vehicle technology. The growth and trends of predictive vehicle technology industry provide a holistic approach to this study.
This section of the predictive vehicle technology market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
This section covers the regional outlook, which accentuates current and future demand for the Predictive Vehicle Technology market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Predictive Vehicle Technology market include Bosch (Germany), Continental (Germany), Valeo (France), Garrett Motion (Switzerland), Aisin Seiki (Japan), Aptiv (UK), and others. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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