Europe Unmanned Traffic Management Market Forecast to 2030 – COVID-19 Impact and Regional Analysis – by Type (Persistent UTM and Non-Persistent UTM), Component (Hardware and Software), Application (Communications, Navigation, Surveillance & Monitoring, an

Europe Unmanned Traffic Management Market Forecast to 2030 – COVID-19 Impact and Regional Analysis – by Type (Persistent UTM and Non-Persistent UTM), Component (Hardware and Software), Application (Communications, Navigation, Surveillance & Monitoring, and Others), and End Use (Agriculture & Forestry, Logistics & Transportation, Surveillance, and Others)

The Europe unmanned traffic management market is expected to grow from US$ 258.16 million in 2022 to US$ 988.75 million by 2030. It is estimated to grow at a CAGR of 18.3% from 2022 to 2030.

Integration of AI and ML will be Driving the Europe Unmanned Traffic Management Market Coming Year

UAVs and UASs are gaining attention owing to their capability to revolutionize different businesses and industry verticals. With a rising number of UAVs and UASs, artificial intelligence (AI) and machine learning (ML)-based UTM is also gaining prominence. Presently, several enterprises have been utilizing AI and ML for enhancing their air traffic management (ATM) solutions, and the same can be expected to be replicated for UTM solutions. The present UTM framework mostly supports remote identification, operation planning, situational awareness, and failure detection and recovery. AI and ML can aid in all such categories by optimizing a drone's functioning. In operation planning, AI and ML algorithms can be utilized for efficient and safe operations in hostile environments through better trajectory prediction, classification and optimization. Reinforcement Learning (RL) and Deep Neural Network (DNN) can be utilized for target tracking, wildfire monitoring or classifying and recovering a malfunctioning vehicle. Convolutional Neural Network (CNN) Support Vector Machine (SVM)-based ML methods can be utilized for situational awareness. CNN can easily generate a wind flow map and provide safer trajectories for the vehicle. SVM can be utilized for classifying line of sight (LoS) and non-LoS links of the vessel at different locations and along different flight routes. ML algorithms can be utilized for failure detection, assessment, and classification, as well as failure recovery. Such data, combined with AI can easily predict future failure chances and thus aid in minimizing the same. Application of ML through data mining techniques can enable better remote identification and data security. Owing to such advantages, most modern UTM solutions can be expected to integrate AI and ML for safer traffic management.

Europe Unmanned Traffic Management Market Overview

The Europe unmanned traffic management market has been categorized into Germany, France, Italy, UK, and the Rest of Europe. The increasing demand for drones in commercial, logistics, and aviation industries is anticipated to drive the demand for unmanned traffic management systems which helps propel the market growth. Also, the growth prospects in future air mobility with significant adoption in autonomous aerial vehicles, electric aircraft, flying taxis and delivery drones is emerging the need for unmanned traffic management which is boosting the market growth in Europe. Also, the increased importance of last mile delivery has become evident in transportation activities which is augmenting the demand for delivery drones and electric aircrafts which is further creating the demand for unmanned traffic management system. The long-standing freight shippers are incorporating or upgrading technology to improve the last mile support. The primary focus is on improving reliability, enhancing customer experience, secure traffic and increasing overall competitiveness in the mobility ecosystem. Thus, such factors are strengthening the demand for unmanned traffic management system which is further driving the market growth. Large aerospace players such as Honeywell and Rolls-Royce have already established specialist units for urban air mobility to explore technologies including electric and hybrid systems as well as other opportunities such as actuation and autonomous flight systems for unmanned aerial vehicles. Thus, such upcoming development in advancing the electric vertical take-off and landing (eVTOL) and new aircraft along with growing initiatives for improving the urban air mobility in European countries is fueling the Europe unmanned traffic management market growth over the forecast period.

Europe Unmanned Traffic Management Market Revenue and Forecast to 2030 (US$ Million)

Europe Unmanned Traffic Management Market Segmentation

The Europe unmanned traffic management market is segmented into type, component, application, end use, and country.

Based on type, the Europe unmanned traffic management market is bifurcated into persistent UTM and non-persistent UTM. In 2022, the persistent UTM segment registered a larger share in the Europe unmanned traffic management market.

Based on component, the Europe unmanned traffic management market is bifurcated into hardware and software. In 2022, the hardware segment registered a larger share in the Europe unmanned traffic management market.

Based on application, the Europe unmanned traffic management market is segmented into communications, navigation, surveillance & monitoring, and others. In 2022, the communications segment registered a largest share in the Europe unmanned traffic management market.

Based on end user, the Europe unmanned traffic management market is segmented into agriculture & forestry, logistics & transportation, surveillance, and others. In 2022, the surveillance segment registered a largest share in the Europe unmanned traffic management market.

Based on country, the Europe unmanned traffic management market is segmented into France, Germany, the UK, Italy, Russia, and the Rest of Europe. In 2022, Germany registered a largest share in the Europe unmanned traffic management market.

Airbus SE; Altitude Angel Ltd; Collins Aerospace; Frequentis AG; Leonardo SpA; Lockheed Martin Corp; Thales SA; and Unifly NV are the leading companies operating in the Europe unmanned traffic management market.

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