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Forecast for Artificial Intelligence (AI) in Drones is Extraordinarily Robust with Market Projected to Triple in Value by 2030
MarketNewsUpdates News Commentary NEW YORK, Dec. 03, 2025 (GLOBE NEWSWIRE) -- A...
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[{"type":"text","content":"Forecast for Artificial Intelligence (AI) in Drones is Extraordinarily Robust with Market Projected to Triple in Value by 2030\n\n\n\n\n\n MarketNewsUpdates\n \n\n\n\n News Commentary\n \n\n\n\n\n NEW YORK, Dec. 03, 2025 (GLOBE NEWSWIRE) -- Artificial Intelligence (AI) is reportedly transforming drones and unmanned aerial vehicles from remote-controlled devices into autonomous, intelligent agents that have the capabilities to perform intricate tasks across various industries with minimal human intervention. A\n \n report\n \n from MarketAndMarkets said that the global UAV market is projected to grow from USD 26.12 billion in 2025 to USD 40.56 billion by 2030, at a CAGR of 9.2% and by volume, UAV shipments are expected to rise from 596.94 thousand units in 2025 to 869.76 thousand units in 2030. The report said that the Unmanned Aerial Vehicle (UAV) industry is entering a transformative phase where artificial intelligence (AI) is no longer an optional add-on but a core enabler of autonomy, safety, and mission effectiveness. While technological advancements in composite materials, imaging sensors, and battery systems contribute to this growth, it is the integration of AI with UAVs—from edge computing and computer vision to swarm intelligence—that is unlocking the most disruptive applications. AI-driven UAVs are reshaping industries ranging from defense and logistics to agriculture and public safety, while also creating new opportunities in commercial ecosystems. The report added that several trends explain why AI is a pivotal growth engine for the UAV market: “Demand for autonomy: Enterprises and defense forces seek UAVs that can execute missions with minimal human oversight, requiring AI-based perception, navigation, and decision-making; Shift toward Beyond Visual Line of Sight (BVLOS): Regulatory easing and AI-powered detect-and-avoid systems are enabling UAVs to fly farther and safer, opening applications in long-range logistics, border patrol, and disaster response; Explosion of data-driven use cases: UAVs generate terabytes of visual, thermal, and geospatial data. AI analytics turn this raw data into actionable insights for asset inspection, surveillance, and precision agriculture; Edge computing maturity: Advances in low-power AI accelerators (NPUs, GPUs, FPGAs) allow drones to process data on-board in re...