Global Swarm Intelligence Market Overview
The key driver impacting the swarm intelligence market is the increase in usage of swarm intelligence for solving big data problems. The distinctiveness of big data includes variety, volume, veracity, velocity, and value. In the swarm intelligence algorithms, these features can be correspondingly signified as high dimensions, large scale, dynamical, objective problems, and surrogates problems that have been effectively solved. The mixture of swarm intelligence and data mining techniques can lead to a better understanding of the big data analytics problems and scheming more effective algorithms to solve real-world big data analytics problems. Moreover, the need for swarm intelligence in the transportation business contributes to swarm intelligence market demand in the coming years.
According to Value Market Research, the global swarm intelligence market size was valued at about USD 14.4 million in 2020 and is estimated to grow at a CAGR of around 41% during the forecast period 2021 to 2027.
The rising adoption of swarm-based drones (UAVs) in the military is likely to augment the need for swarm intelligence in the forecast period. But, the unwillingness to accept new technology by leading industries is expected to obstruct the market in the long run. In addition, the dearth of a skilled workforce is impeding the market growth. Nevertheless, current industry trends such as the rising integration of swarm intelligence technology with connected cars and usage of swarm robotics in warehouses might provide massive market opportunities to the market's key players.
The Swarm intelligence market is widespread, with many local and international players. The market leaders follow diverse strategies like acquisitions, extending product portfolio, contracts, product innovations, amalgamation to strengthen their market share globally. The key players in the report are Brainalyzed, Axonai, Enswarm, Dobots, Mobileye, Hydromea SA, Power-Blox, Netbeez, Queen B Robotics, Sentient Robotics, Resson Aerospace, Swarm Systems, and Unanimous A.I., Swarm Technology, and Valutico.
In this research report, the Swarm intelligence market is segmented by model, capability, application and region.
Analysis by Model:
By model, the report is segmented into ant colony optimization, particle swarm optimization, and others. The ant colony optimization segment is dominating, with the highest market share in the forecast period. It is due to the rising adoption of this algorithm in real-time applications to provide optimal solutions that contribute to the growth of ant colony optimization in the forecast period.
Analysis by Capability:
By Capability, the report is segmented into ant colony optimization, particle swarm optimization, and others. The particle swarm optimization segment is dominating with the highest market share in the forecast period. It is due to optimization is a way to solve the problem with the best combination of solutions under given constraints. Moreover, Swarm intelligence algorithms such as Particle Swarm Optimization and Ant Colony Optimization, and proprietary algorithms are used to find the best optimal solution among different solutions contributes to the growth of particle swarm optimization in the forecast period.
Analysis by Application:
By Application, the report is divided into robotics, drones, and human swarming. The drones segment dominates the application segment with the highest market share in 2020. It is due to the growing use of swarm intelligence to have a practical and realistic method for completing the necessary mission of finding and attacking a target. Moreover, the increasing adoption of drones by the military for surveillance and reconnaissance contributes to the high market demand for the drone segment.
Analysis by Region:
In the regional outlook of the global Swarm intelligence market, the North America region dominates with the largest market share in 2020. It is due to the large-scale use of swarm intelligence systems in military & defense activities. Moreover, the large-scale use of swarm intelligence tools & AI integration for forecasting outcomes precisely will create tremendous market growth across North America.
Market Segmentation covered in the Report:
By Model
- Ant Colony Optimization
- Particle Swarm Optimization
- Others
By Capability
- Optimization
- Clustering
- Scheduling
- Routing
By Application
- Robotics
- Drones
- Human Swarming
By Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
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