Key Factors Contributing to the Global AI in Drones Market

The global AI in the drones market is forecast to grow at a significant CAGR during the forecast period. The increased adoption of AI in the various devices for the development and improvement of the particular sector is attributed to providing growth opportunities to the AI in the Drones industry. The adoption of AI in several applications has brought a revolutionary change in the fields, as it assists in managing bulk data and gives better performance. Also, the AI integrated drone empowers the industries to keep a birds-eye view of the land for vigilance & mapping purposes. The key advantage of AI in drones is to make efficient use of large data sets collected by drones. 

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The key market players operating in the global AI in the drones market include DRONE Aviation Corp., DroneBase Inc., Talon Aerolytics Inc., Optelos, DroneSense Inc. and many others. These players mainly focus on various strategies in order to remain competitive in the market. Strategies such as mergers & acquisitions, partnerships & collaborations, product launch, geographical expansion among others are majorly adopted by the market players. Additionally, in order to cope up with the on-going technological advancements in a similar industry, the market players are also focusing on their R&D activities. 

• In September 2017, Pix4D has utilized machine learning algorithms for various photogrammetry applications to classify 3D point clouds into categories like roads, buildings, and others for determining the height and type. The company also collaborated with Hummingbird for the development of software that assists farm managers and agronomists to cope with the problems of crop and plant diseases that lead to major disruptions in their productivity.
• Ardenna, a Bihrle Applied Research Inc. company offers the image intelligence and artificial intelligence-based solution and devices for the automatic detection, classification, and reporting of anomalies that are found during railway and wind turbine inspections. The drone has the capability to collect roughly 40,000 images from 100 miles of rails and their software can detect 30 different types of anomalies automatically in less than 5 hours.
• EagleView Technologies utilizes machine learning algorithms to create property analytics data later hurricane Harvey in 2017. It also enabled insurance carriers to investigate drone images and recognize damages efficiently, which is very important to close huge amounts of claims rapidly in post-hurricane scenarios. 

The Report AI in Drones Market - Segmented by Type and Applications

By Type

• Force Sensors

• Pressure Sensors

• Temperature Sensors

• Others (Accelerometers)

By Application

• Industrial & Manufacturing

• Automotive

• Healthcare

• Consumer Electronics

• Others (Aerospace, and Information & Telecommunication)

The Report AI in Drones Market – Segment by Region 

North America           

• United States

• Canada

Europe

• Germany

• United Kingdom

• France

• Spain

• Italy

• Rest of Europe

Asia-Pacific    

• China

• Japan

• India

• Rest of Asia-Pacific

Rest of the World

• Middle East & Africa 

• Latin America  

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