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市场调查报告书
商品编码
1359565
航空人工智慧市场规模 - 按技术、按应用、产品和全球预测,2023 年至 2032 年Artificial Intelligence in Aviation Market Size - By Technology, By Application, Offering & Global Forecast, 2023 - 2032 |
2023 年至 2032 年间,全球航空市场人工智慧的复合年增长率将超过 20%。航空业对高效运作、提高安全性和增强乘客体验的需求日益增长,推动了人工智慧的采用。包括机器学习和预测分析在内的人工智慧技术可优化飞机维护和航班调度。此外,人工智慧驱动的解决方案解决了日益增长的空中交通管理挑战。航空公司和机场等航空利益相关者对人工智慧的投资不断增加,证明了该行业致力于利用人工智慧的变革潜力,进一步推动人工智慧在航空市场扩张的承诺。
AI航空领域研发数量的不断增加也支持了市场的扩张。例如,2023 年 10 月,麻省理工学院电脑科学与人工智慧实验室 (CSAIL) 的研究人员创建了空中卫士系统,即人工智慧副驾驶。与传统的自动驾驶仪不同,该系统是主动的,可以监控飞行员的眼球运动并追踪他们的注意力焦点。它建立在对飞行员行为和意图的深刻理解的基础上,促进人与机器之间的协作伙伴关係。
航空市场的整体人工智慧根据技术、应用和区域进行分类。
情境感知计算领域将在 2023 年至 2032 年间经历重大发展。这种人工智慧技术透过提供对飞机周围环境、天气状况和空域的即时洞察来提高航空安全和效率。它可以实现预测决策和自动化,从而优化飞行营运。随着航空业继续优先考虑安全和性能,上下文感知计算仍然是一个关键组成部分,推动其对航空市场规模中人工智慧的贡献。
智慧维护领域从 2023 年到 2032 年将实现令人称讚的复合年增长率。人工智慧驱动的预测性维护解决方案利用资料分析和机器学习来即时监控飞机部件,使航空公司和维护团队能够在潜在问题变得严重之前发现它们。这种主动方法可以最大限度地减少停机时间、降低维护成本并提高飞机的整体安全性,使智慧维护成为航空业采用人工智慧的一个重要方面。
2023年至2032年,欧洲人工智慧在航空市场上将呈现可观的复合年增长率。欧洲大陆的航空业越来越认识到人工智慧在提高安全性、营运效率和乘客体验方面的潜力。航空公司、机场和航空当局正在投资人工智慧驱动的解决方案,以实现更好的飞行管理、预测性维护和客户服务。欧洲对创新航空技术的承诺推动了该地区对人工智慧解决方案不断增长的需求。
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.