市场调查报告书
商品编码
1604521
无人机人工智慧市场:2024-2029 年预测AI in the Drone Market - Forecasts from 2024 to 2029 |
无人机人工智慧市场预计到 2029 年将达到 615.99 亿美元,复合年增长率从 2024 年的 244.44 亿美元成长 30.45%。
将人工智慧(AI)融入无人机领域会带来多种好处。人工智慧和无人机是一个强大的组合,有潜力改变各个产业。人工智慧和无人机的结合创造了智慧自主飞行系统,可以在各种条件下执行复杂的任务。因此,人工智慧与无人机技术的结合将为农业、建筑、能源、安防等产业提供新的航空技术发展,并为许多空拍需求提供解决方案。
将人工智慧整合到无人机中可以带来多种好处,包括改进无人机控制自动化以及帮助即时资料收集和分析。这种整合还可以帮助无人机避开障碍物并选择有效的路线。
无人机人工智慧市场驱动因素
几个关键领域的重大技术进步正在推动配备人工智慧的无人机的发展。机器学习和电脑视觉的进步为人工智慧系统提供了更强大的物体侦测、路径规划甚至避障技能。无人机配备先进的传感器和摄像头,可以即时检测和监控潜在威胁,并向军事和安全人员提供关键资讯。即时物体侦测使用先进的电脑视觉和机器学习演算法。 Autel Robotics EVO II Pro 6K有效载荷舱可让使用者安装更多感测器,例如雷射雷达摄影机。这些相机使无人机能够创建极其精确的 3D 点云资料,从而创建全面的环境数位地图。
由于最近在几个国家进行的改造和无人机投资,预计该市场将扩大。据国际贸易机构称,日本2023财年的国防费用累计6.8兆日圆(约4,800亿美元),使其成为亚洲第三高、全球整体的国防预算。根据《防卫计画与预算》,日本到2023年将在无人防御能力方面投资超过1,827亿美元。据财政部和预算司称,2024-2025年,该部已向国防部拨款62,154.85亿印度卢比(约750亿美元),比前上年度预算增加4.7%。
购买本报告的理由:
它有什么用?
产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响
The AI in the drone market is estimated to reach US$61.599 billion by 2029, growing at a CAGR of 30.45% from US$24.444 billion in 2024.
Integrating artificial intelligence (AI) into the drone sector offers various advantages. AI and drones are a formidable combo that has the potential to transform a variety of industries. When coupled, they build intelligent and autonomous airborne systems capable of completing complicated tasks in a variety of conditions. Because of this, the combination of AI and drone technology offers new aerial technological developments for various industries, including agriculture, construction, energy, and security, as well as a solution to many aerial imagery demands.
Integrating AI into drones offers various benefits, including better automation to control drones and helps in real-time data collection and analysis. This integration also helps drones to avoid obstacles and opt for an efficient route.
AI in the drone market drivers
Significant technological advancements in several important areas are driving the development of drones powered by artificial intelligence. Developments in machine learning and computer vision are providing AI systems with greater skills in object detection, path planning, and even obstacle avoidance. Drones equipped with advanced sensors and cameras can detect and monitor potential threats in real-time, providing critical information to military and security personnel. Advanced computer vision and machine learning algorithms are used for real-time object detection. Autel Robotics EVO II Pro 6K A payload compartment enables users to mount more sensors, such as LiDAR cameras. These cameras would enable a drone to produce incredibly accurate 3D point clouds, creating a comprehensive digital map of its environment.
The market is anticipated to increase due to the recent modifications and drone investment in several nations. According to the International Trade Administration, Japan allocated 6.8 trillion yens (about $480 billion) for defense in Fiscal Year ("JFY") 2023, making it the third-highest defense budget in Asia and the ninth-largest in the world overall. According to the Defence Programs and Budget, for 2023 unmanned defence capabilities, Japan invested over $182.7 billion. According to the Ministry of Finance & Budget Division, for 2024-2025, the Ministry allocated INR 6,21,540.85 crore (about USD 75 billion) to the Defence Ministry, which reflected a 4.7% increase over the previous year's budget.
Reasons for buying this report:-
What do businesses use our reports for?
Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence