Swarm Computing Market

Swarm Computing Market Segmentation By Model (Stochastic diffusion search, Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO)); By Capability (Clustering, Scheduling, Optimization and Routing); By Application (Robotics, Unmanned Aerial Vehicle (UAV) and Human Swarming) - Global Demand Analysis & Opportunity Outlook 2027

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Report ID: 1280 | Published On: Apr 06, 2022

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Inflation and Looming Recession to Haunt Businesses:

In 2022 & 2023, market players expected to sail in rough waters; might incur losses due to huge gap in currency translation followed by contracting revenues, shrinking profit margins & cost pressure on logistics and supply chain. Further, U.S. economy is expected to grow merely by 3% in 2022. Purchasing power in the country is expected to fell nearly by 2.5%.
On the other hand, European countries to see the worst coming in the form of energy crisis especially in upcoming winters!! Right after COVID-19, inflation has started gripping the economies across the globe. Higher than anticipated inflation, especially in western world had raised concerns for national banks and financial institutions to control the economic loss and safeguard the interest of the businesses. Increased interest rates, strong USD inflated oil prices, looming prices for gas and energy resources due to Ukraine-Russia conflict, China economic slowdown (~4% in 2022) disrupting the production and global supply chain and other factors would impact each industry negatively.


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Introduction to Swarm Computing

The swarm computing is the field of the computer science that is designed for the effective study of the computational methods. It is behavioral modeling approach that focuses on the study of the swarm in the different domains which includes the image and data analysis .It is primarily used to find optimal solutions and enhance the function optimization.

The modeling method associated with the swarm computing is applied in various technologies such as medical informatics, bioinformatics and artificial intelligence. It primarily deals with the forecasting of the problems by taking collective decisions in order to provide all necessary information.


Market Size and Forecast

Currently the global swarm computing market is observing vibrant growth on the account of increasing trend of the big data analytics coupled with the rising computer simulation methods. This is expected to drive the growth of the overall swarm computing market during the forecast period. Additionally, the increasing deployment of the drones and automated robots for various industrials and commercial uses is expected to be other reason for the growth of the global swarm computing market during the forecast period.

Swarm computing market is anticipated to record a CAGR of 40% over the forecast period. It is expected to reach a total market size of USD 0.3 billion by 2027. The swarm computing market is expected to showcase a vibrant growth by the end of the forecast period. The market can be segmented on the basis of model, capability and application. On the basis of model, it is sub-segmented into stochastic diffusion search, ant colony optimization (ACO) and particle swarm optimization (PSO). Ant colony optimization (ACO) is anticipated to be the leading sub-segment during the forecast period. The high adoption of the ant colony optimization (ACO) as it offers real time solutions. On the basis of capability, it is sub-segmented into clustering, scheduling, optimization and routing. Optimization sub-segment is anticipated to hold the largest market share during the forecast period. This is on the account of high number of solutions offered by the optimization. On the basis of applications, it is sub segmented into robotics, unmanned aerial vehicle (UAV) and human swarming. The robotics sub-segment is anticipated to lead the applications segment during the forecast period. The robot is used in the surveillance and military operations. Thus, it is anticipated to be the major reason for the growth of the sub-segment during the forecast period.

swarm computing market Graph

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Growth Drivers

Widespread Technological Advancement

The growing technological development coupled with the advent of the big data analytics in order to solve the complex problems is anticipated to be the major growth driver for the overall swarm computing market during the forecast period.

Increasing application of the Swarm computing

The wide application of the swarm computing for industrial purpose is anticipated to be major driver for the overall swarm computing market during the forecast period. The increasing adoption of the swarm computing for the surveillance is also anticipated to be drive the swarm computing market.


swarm computing market Graph
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Restraints

High Integration Cost

The integration cost associated with the robots including installation and up gradation is expected to restrain the growth of swarm computing market during the forecast period.


Market Segmentation

Our-in depth analysis of the global swarm computing market includes the following segments:

By Model:

  • Stochastic diffusion search
  • Ant Colony Optimization (ACO)
  • Particle Swarm Optimization (PSO)


By Capability:

  • Clustering
  • Scheduling
  • Optimization
  • Routing

By Application:

  • Robotics
  • Unmanned Aerial Vehicle (UAV)
  • Human Swarming

Industrial robots
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