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市場調查報告書
商品編碼
1359565
航空人工智慧市場規模 - 按技術、按應用、產品和全球預測,2023 年至 2032 年Artificial Intelligence in Aviation Market Size - By Technology, By Application, Offering & Global Forecast, 2023 - 2032 |
2023 年至 2032 年間,全球航空市場人工智慧的複合年成長率將超過 20%。航空業對高效運作、提高安全性和增強乘客體驗的需求日益成長,推動了人工智慧的採用。包括機器學習和預測分析在內的人工智慧技術可最佳化飛機維護和航班調度。此外,人工智慧驅動的解決方案解決了日益成長的空中交通管理挑戰。航空公司和機場等航空利益相關者對人工智慧的投資不斷增加,證明了該行業致力於利用人工智慧的變革潛力,進一步推動人工智慧在航空市場擴張的承諾。
AI航空領域研發數量的不斷增加也支持了市場的擴張。例如,2023 年 10 月,麻省理工學院電腦科學與人工智慧實驗室 (CSAIL) 的研究人員創建了空中衛士系統,即人工智慧副駕駛。與傳統的自動駕駛儀不同,該系統是主動的,可以監控飛行員的眼球運動並追蹤他們的注意力焦點。它建立在對飛行員行為和意圖的深刻理解的基礎上,促進人與機器之間的協作夥伴關係。
航空市場的整體人工智慧根據技術、應用和區域進行分類。
情境感知計算領域將在 2023 年至 2032 年間經歷重大發展。這種人工智慧技術透過提供對飛機周圍環境、天氣狀況和空域的即時洞察來提高航空安全和效率。它可以實現預測決策和自動化,從而最佳化飛行營運。隨著航空業繼續優先考慮安全和性能,上下文感知計算仍然是一個關鍵組成部分,推動其對航空市場規模中人工智慧的貢獻。
智慧維護領域從 2023 年到 2032 年將實現令人稱讚的複合年成長率。人工智慧驅動的預測性維護解決方案利用資料分析和機器學習來即時監控飛機部件,使航空公司和維護團隊能夠在潛在問題變得嚴重之前發現它們。這種主動方法可以最大限度地減少停機時間、降低維護成本並提高飛機的整體安全性,使智慧維護成為航空業採用人工智慧的一個重要方面。
2023年至2032年,歐洲人工智慧在航空市場上將呈現可觀的複合年成長率。歐洲大陸的航空業越來越認知到人工智慧在提高安全性、營運效率和乘客體驗方面的潛力。航空公司、機場和航空當局正在投資人工智慧驅動的解決方案,以實現更好的飛行管理、預測性維護和客戶服務。歐洲對創新航空技術的承諾推動了該地區對人工智慧解決方案不斷成長的需求。
Global Artificial Intelligence in Aviation Market will witness over 20% CAGR between 2023 and 2032. The aviation industry's increasing need for efficient operations, improved safety, and enhanced passenger experiences fuels AI adoption. AI technologies, including machine learning and predictive analytics, optimize aircraft maintenance and flight scheduling. Furthermore, AI-powered solutions address growing air traffic management challenges. Rising investments in AI by aviation stakeholders, including airlines and airports, justify the industry's commitment to leveraging AI's transformative potential, further propelling artificial intelligence in aviation market expansion.
The rising number of research and development in the AI aviation field also supports market expansion. For instance, in October 2023, Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) created the Air-Guardian system, an AI co-pilot. Unlike traditional autopilots, this system is proactive, monitoring a pilot's eye movements and tracking their focus of attention. It fosters a collaborative partnership between humans and machines, built on a deep understanding of the pilot's behavior and intentions.
The overall Artificial Intelligence in Aviation Market is classified based on technology, application, and region.
The context awareness computing segment will undergo significant development from 2023 to 2032. This AI technology enhances aviation safety and efficiency by providing real-time insights into an aircraft's surroundings, weather conditions, and airspace. It enables predictive decision-making and automation, optimizing flight operations. As the aviation industry continues to prioritize safety and performance, context awareness computing remains a critical component, driving its contribution to artificial intelligence in aviation market size.
The smart maintenance segment will register a commendable CAGR from 2023 to 2032. AI-powered predictive maintenance solutions utilize data analytics and machine learning to monitor aircraft components in real-time, allowing airlines and maintenance teams to detect potential issues before they become critical. This proactive approach minimizes downtime, reduces maintenance costs, and enhances overall aircraft safety, making smart maintenance a crucial aspect of the aviation industry's AI adoption.
Europe artificial intelligence in aviation market will showcase an appreciable CAGR from 2023 to 2032. The continent's aviation industry is increasingly recognizing the potential of AI in enhancing safety, operational efficiency, and passenger experiences. Airlines, airports, and aviation authorities are investing in AI-driven solutions for better flight management, predictive maintenance, and customer service. Europe's commitment to innovative aviation technologies fuels the growing demand for AI solutions in the region.