According to our (Global Info Research) latest study, the global AI in Drone market size was valued at US$ 10700 million in 2024 and is forecast to a readjusted size of USD 68930 million by 2031 with a CAGR of 30.8% during review period.
AI in Drone refers to the integration of artificial intelligence (AI) technologies into drones (also known as unmanned aerial vehicles, UAVs). This integration significantly enhances the capabilities and functionalities of drones, enabling them to perform more complex tasks autonomously. signifies the application of AI algorithms, machine learning models, and related technologies to drones. This enables drones to process data in real-time, make decisions independently, adapt to changing environments, and execute tasks with minimal human intervention.
Market Development
Technological Advancements: The combination of AI and drones has led to significant technological advancements. Drones equipped with AI can now operate autonomously, process data in real-time, adapt to changing conditions, and enhance safety by detecting and avoiding obstacles.
Emerging Applications: The AI-enabled drones are finding new applications across various industries. For instance, in agriculture, AI drones can scan fields to monitor crop health and growth, providing valuable data to farmers. In the military, AI drones have become crucial for reconnaissance, surveillance, and even combat operations.
Market Growth: The global drone market, including AI-enabled drones, is expected to grow steadily. According to some estimates, the market size is projected to reach substantial figures in the coming years, driven by technological upgrades, government policy concessions, and increasing user demand.
Key Drivers
Cost-Effectiveness and Versatility: Drones are cost-effective and versatile, making them suitable for a wide range of applications such as aerial photography, inspection of high-rise buildings, cargo transportation, and more. The integration of AI further enhances their capabilities and makes them more efficient.
Government Support: Governments around the world are increasingly recognizing the potential of drones and AI-enabled drones. They are formulating policies and providing incentives to promote the development and use of these technologies.
User Demand: With the increasing awareness of the benefits of AI-enabled drones, user demand is also growing. Users are looking for drones that can operate autonomously, provide real-time data processing, and adapt to changing conditions.
Challenges and Opportunities
Challenges: The integration of AI into drones presents some challenges, such as ensuring the safety and security of the drones, protecting data privacy, and addressing regulatory issues.
Opportunities: Despite these challenges, there are also significant opportunities in the AI-enabled drone market. For instance, the development of new technologies such as star-borne nodes, 4G transmission, and automatic micro-drones is expected to stimulate market growth. Additionally, the introduction of other technologies such as AI and enhanced video surveillance technology will further expand the market's potential.
Future Trends
Increased Competition: With more manufacturers entering the drone industry, competition is expected to intensify. This will provide users with more choices and drive innovation in the market.
Focus on R&D: More enterprises are focusing on research and development in related fields such as AI, investment, consultation, and education, providing tangible and intangible support for the global AI-enabled drone market.
Innovative Technologies: The market is expected to see more innovative technologies, such as advanced AI algorithms, improved sensors, and communication modules, that will enhance the capabilities of drones.
In conclusion, the AI-enabled drone market is poised for significant growth driven by technological advancements, government support, and increasing user demand. While challenges remain, the opportunities in this market are vast and present exciting prospects for innovation and development.
This report is a detailed and comprehensive analysis for global AI in Drone market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI in Drone market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI in Drone market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI in Drone market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI in Drone market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI in Drone
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI in Drone market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Intel, Qualcomm, Skycatch, DroneSense, Shield AI, Auterion, DRONE VOLT, Folio3 AI, FlytBase, Skydio, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI in Drone market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
On Premise
Cloud Based
Market segment by Application
Law Enforcement
Fire Control
Contingency Management
Others
Market segment by players, this report covers
Intel
Qualcomm
Skycatch
DroneSense
Shield AI
Auterion
DRONE VOLT
Folio3 AI
FlytBase
Skydio
Nanjing Ningyingzhineng
Coretronic Intelligent Robotics Corporation
DAC.digital
Percepto
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Drone product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Drone, with revenue, gross margin, and global market share of AI in Drone from 2020 to 2025.
Chapter 3, the AI in Drone competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI in Drone market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Drone.
Chapter 13, to describe AI in Drone research findings and conclusion.
Summary:
Get latest Market Research Reports on AI in Drone. Industry analysis & Market Report on AI in Drone is a syndicated market report, published as Global AI in Drone Market 2025 by Company, Regions, Type and Application, Forecast to 2031. It is complete Research Study and Industry Analysis of AI in Drone market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.