The report presents a qualitative and quantitative analysis of the development observed in the field of swarm intelligence technologies in the past few years.

San Francisco, CA -- (SBWire) -- 05/15/2018 --Swarm intelligence refers to the way that a number of artificial and natural systems composed of several individuals coordinate with the help of self-organization and decentralized control. Particularly, it focuses on the collective behaviors of these systems resulting from the local interactions of the individuals in the systems with their environment and with each other. The principles of swarm intelligence are derived from the behavioral trends observed in social insects such as wasps, ants, termites, and bees. The concept is being increasingly employed in work related to the field of artificial intelligence. While work in this area is still in the nascent phase, the pace of technological advancements in the area is healthy and is expected to drive the market for swarm intelligence at a promising pace over the next few years.

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This report presents a thorough overview of the market and its expected growth path over the period between 2017 and 2025. The compound annual growth rate (CAGR %) for all segments of the market is provided for this period. The report highlights the key trends of past and present times expected to play a key role in the overall development of the market over the forecast period. The report also outlines the crucial factors driving and restraining the market. A detailed overview of lucrative growth opportunities across key segments and regional markets is also included.

The report also presents a qualitative and quantitative analysis of the development observed in the field of swarm intelligence technologies in the past few years. Through primary and secondary research efforts, detailed data pertaining to new discoveries to have forayed into the global market in the past few years have been included in the report. Data regarding the competitive and vendor landscape, regulatory framework across key regional markets, and areas with high-growth prospects is also included in the report.

Global Swarm Intelligence Market: Trends and Opportunities

One of the key factors driving the global swarm intelligence market is the increased demand for new techniques and principles for effectively solving big data related problems and the rising adoption of swarm intelligence-based drones and other products in defense and military applications. A number of other industries are also investing increased sums on the adoption of analytical solutions that can bring down operational costs and make operations quicker and more productive. As swarm intelligence-based algorithms prove to be effective in these areas and the awareness regarding their benefits rises, the swarm intelligence is expected to benefit massively from a potential rise in set of applications.

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Global Swarm Intelligence Market: Segmentation

The report segments the global swarm intelligence market on the basis of aspects such as application, model, features, and geography. The key applications of swarm intelligence covered in the report include drones, robotics, and military and defense. Based on features, the market has been examined for clustering, optimization, routing, and scheduling. Based on model, the market has been covered for particle swarm optimization and ant colony optimization.

From a geographical standpoint, the market has been examined for regions such as North America, Europe, Asia Pacific, Latin America, and Middle East and Africa. The market in Asia Pacific is expected to account for the dominant share of the overall market over the report's forecast period. The market in Latin America is also expected to expand at a promising pace owing to the rising adoption of swamp intelligence-based drones in the region's defense sector.

Some of the leading companies operating in the global swamp intelligence market are Hydromea, DoBots, AxonAI, SSI Schäfer - Fritz Schäfer, Power-Blox, Valutico, Enswarm, Sentien Robotics, and Unanimous A.I.

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