The Europe Swarm Robotics Market would witness market growth of 30.1% CAGR during the forecast period (2023-2030).
Many swarm robotics algorithms are actively being studied. Some algorithms are bacterial foraging optimization, fish swarm optimization, particle swarm optimization, bee-inspired algorithms, ant colony optimization, and bee-inspired algorithms. The particle swarm optimization as well as ant colony optimization methods are the most used solutions for practical issues. Swarm robotics methods can be applied to various tasks, including upgrading computer and communication networks, operating robots, and unmanned vehicles, and forecasting social behavior.
For instance, airlines assign aircraft arrivals to airport gates using ant-based routing. Swarm robots include a range of capabilities, including clustering, scheduling, routing, and optimization. These skills aid decision-making and resolving challenging issues like nondeterministic polynomial time-hard (NP-hard) problems. With numerous start-ups, the swarm robotics business is becoming extremely competitive. Players in the industry are also seeking the government for funding and investments to expand the market.
In the United Kingdom, drones are increasingly important in various industries, including emergency services, construction, and oil and gas. Hyundai-backed Air-One, the world’s first urban drone airport, opened in Coventry, England, in April 2022, with plans to use the site for electric vertical take-off and landing aircraft (eVTOL) air taxis. According to the International Trade Administration, the impact of drones could increase the UK’s GDP by $53 billion by 2030. The use of drones in business and public services is expected to impact the economy and society of the United Kingdom significantly. According to the source, Germany is the fifth largest robot sector in the world, accounting for 6% of global robot installations in 2021, with approximately 22,000 industrial robots in use across various industries. All these developments will pose a lucrative prospect for the market in the Europe region.
The Germany market dominated the Europe Swarm Robotics Market, by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $357.4 Million by 2030. The UK market is exhibiting a CAGR of 29% during (2023 - 2030). Additionally, The France market would experience a CAGR of 31% during (2023 - 2030).
Based on End Use, the market is segmented into Military & Defense, Industrial, Agriculture, Healthcare, and Others. Based on Application, the market is segmented into Security, Inspection & Monitoring, Mapping & Surveying, Search, Rescue & Disaster Relief, Supply Chain & Warehouse Management, and Others. Based on Platform, the market is segmented into Unmanned Ground Vehicles (UGV), Unmanned Aerial Vehicles (UAV), and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Hydromea SA, Unboxrobotics Labs Private Limited, SwarmFarm Robotics, Rolls-Royce plc, Sentien Robotics, Berkeley Marine Robotics Inc., Swisslog Holding AG, FARobot, Inc., AGILOX Services GmbH and KION GROUP AG.
Scope of the Study
Market Segments covered in the Report:
By End Use

  • Military & Defense
  • Industrial
  • Agriculture
  • Healthcare
  • Others


By Application

  • Security, Inspection & Monitoring
  • Mapping & Surveying
  • Search, Rescue & Disaster Relief
  • Supply Chain & Warehouse Management
  • Others


By Platform

  • Unmanned Ground Vehicles (UGV)
  • Unmanned Aerial Vehicles (UAV)
  • Others


By Country

  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe


Companies Profiled

  • Hydromea SA
  • Unboxrobotics Labs Private Limited
  • SwarmFarm Robotics
  • Rolls-Royce plc
  • Sentien Robotics
  • Berkeley Marine Robotics Inc.
  • Swisslog Holding AG
  • FARobot, Inc.
  • AGILOX Services GmbH
  • KION GROUP AG


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