Swarm Intelligence Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017 - 2025
- Transparency Market Research
Swarm intelligence is a branch of artificial intelligence (AI) inspired by biology, wherein the behavior of natural beings such as ants, birds, bees, wasps, and termites is replicated by programs to work collaboratively for obtaining a specific solution. Swarm intelligence functions by making several programs interact with one another as well as the environment, so as to work for a common objective without being led by a single program. This results in an output that is considerably optimal as compared to the output of a single program. The swarm intelligence technology can be used in a wide range of industries such as telecommunication, transportation, construction, and robotics. Swarm intelligence functions on the basis of different principles to ensure the optimum functioning of programs collectively to cater need specific problem statements.
The adoption of artificial intelligence in various industries can be one of the key drivers for the market for swarm intelligence; for instance, rising usage of artificial intelligence to automate the transportation industry can be a significant driver for the swarm intelligence market. Additionally, growth of the Internet of Things (IoT) industry and continuous technological advancements in various industries are projected to fuel the swarm intelligence market in the near future. However, the increasing risk of data breach and cyber-attacks is likely to hinder the swarm intelligence market during the forecast period. Leading automobile manufacturers are trying to incorporate swarm intelligence concepts in their vehicles to ensure safer driving environments in the absence of drivers.
The swarm intelligence market can be segmented based on application and region. Based on application, the swarm intelligence market can be segmented into human swarming, drones, robots, and others. Human swarming is a real-time system that involves a group of humans that collectively contribute to derive a single solution. Swarm intelligence in drones could be used by businesses for a wide variety of domain-specific purposes. It can be used even by governments for purposes related to national security. Furthermore, the drones segment is likely to witness significant growth during the forecast period. Swarm intelligence is expected to be increasingly used for military purposes in the near future, due to its robust mechanism. Additionally, swarm robotics can be used for manufacturing multiple robots that function collaboratively to achieve a single objective. These robots can be used in various risky events such as detecting bombs in a war, detecting harmful chemical substances, and mining. Based on region, the swarm intelligence market can be divided into North America, South America, Middle East & Africa, Asia Pacific, and Europe.
Swarm intelligence possesses four capabilities that can be combined as per the domain-specific needs: optimization and selection of best solutions, routing the best means to get to a desired point, staff scheduling as per problem parameters, and clustering the right set of options. Swarm intelligence works on a few principles such as stochastic diffusion search, colony optimization, and particle swarm optimization. Stochastic diffusion search focuses on resolving a problem by dividing it into multiple sections and then tackling them, while colony optimization focuses on finding out the best route out of all possible options. Particle swarm optimization is employed for tracking the most optimum solution by analyzing the given options.
Several companies are entering the global swarm intelligence market. A few of them are DoBots, Redtree Robotics, AxonAI, Hydromea, Sentien Robotics, Valutico, Graphmasters, Robotics Inventions Sp. Z o.o., Intelligenia Dynamics S.L., and Swarm Technology.
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- North America (U.S. and Canada)
- Latin America (Mexico, Brazil, Peru, Chile, and others)
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- Eastern Europe (Poland and Russia)
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- Middle East and Africa (GCC, Southern Africa, and North Africa)
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