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2021
Swarm Intelligence Market

Swarm Intelligence Market by Model type (Particle Swarm Optimization, Ant Colony Optimization and Others), Capability type (Routing, Clustering, Scheduling, Optimization), Application (Human Swarming, Drones, Robotics), Organizational size (small and medium enterprise, large enterprise), End User (Robotics &Automation, Transportation& Logistics, Healthcare and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

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Dec 2021 | 981 Views
   
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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Swarm Intelligence Market Insights:

Swarm intelligence is the study of self-organized, decentralized systems. It is one of the forms of a critical intelligence; however, it is majorly driven and inspired by biologically. Human artifacts also fall into the domain of swarm intelligence.  In software and robotics swarm intelligence involves taking what scientists have learned from observing nature and applying concepts to machines. Robotic swarm are simple and these agents are made up of sonar, radar or cameras to collect information and environment around them.

Swarm Intelligence Market Scope and Structure Analysis:

Report Matric

Details

Market size available for the years

2019-2027

Base year considered

2019

Forecast period

2020-2027

Forecast unit

Value (USD)

Segments covered

  • Model Type
  • Capability Type
  • Application
  • Organizational Size
  • End User
  • Region

Regions covered

  • North America (U.S. and Canada),
  • Europe (Germany, UK, France, and the Rest of Europe),
  • Asia-Pacific (China, Japan, India, and the Rest of Asia Pacific).
  • LAMEA (Latin America,Middle East,Africa)

Companies covered

 

  • DoBots, Enswarm, Hydromea SA,
  • Power-Blox AG,
  • Sentien Robotics, LLC,
  • Swarm Technology, LLC,
  • Unanimous A.I., Inc.
  • Lockheed Martin Corporation,
  • Raytheon Inc.,
  • Northrop Grumman Inc.
  • ConvergentAI Corp.

Impact of COVID-19 on Swarm Intelligence Market:

  • The emergence of COVID-19 pandemic has severely affected almost all industries across the globe. Further, lockdown enforcements and restrictions on movements of non-essential goods as well as resources in various countries has disrupted supply chain of electronic components & networking equipment. This, has led to delay in supply of electronic components required in manufacturing of the network equipment.
  • Companies have continued to expand cloud services and application development service during the pandemic.  Before the pandemic took hold, various organizations were providing manual release of applications to customers.
  • New learnings among companies with respect to work-from-home (WFH) and data accessibility during the lockdown period has resulted in increasing enquiries for space and services at data centers and this trend is expected to create opportunities in for the market during the forecast period.
  • There is an increase in use of automation and even after situation returns to ‘normal’, the work style will continue to be data center-driven, with demand growth for higher penetration of e-commerce, digital payments, and widespread deployment of Big Data, apart from policy level push for automation.

Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Rise in adoption of automated devices such as drones, robots, and automation technologies, as these devices tend to provide improved efficiencyand accuracy, is one of the major key drivers of this market. In addition, growing demand for the swarm robotics and rising application of swarm-based drones in the military sector is also contributing to the growth of the market. However, issues related with the security and privacy and lack of skilled swarm-based professionals are expected to hinder the growth of the market. Furthermore, high demand of swarm intelligence technology in the transportation and logistics, also the integration with technology of artificial intelligence algorithms, Internet of things and big data hurdles are some of the areas from which lucent opportunities are expected for the market.

Rise in adoption in unmanned aerial vehicles (UAV)control:

Unmanned Aerial Vehicles are getting popular and vital because it reduces the risk of human life in the accomplishment of important missions. The UAV act together as a swarm and the location and frequency characteristics of each emitter can be accurately determined in order to offer continuous and complete battlefield awareness. In this manner the swarms are able to act autonomously in the search of targets and also relay the information to all the swarm members. Thus, in this way the swarm intelligence methods and it’s algorithms like particle swarm optimization and linear algorithm are applied.

Increasing applications in logistics and transportations:

Transportation and logistics industries involve complex movement of goods and services and thus is crucial to implement technological advancement in these sectors. In addition to this, multiple organizations are also adopted automated system in which the enterprise keep every night they inputs data on the consumer demand and manufacturing costs so that the entire system will get organized in few hours with the swarm intelligence algorithms working on permutations and combinations. Moreover, swarm intelligence is also widely used in courier and parcel companies to route the documents more efficiently.

Key Segments covered:

Segments

Sub segments

Model Type

  • Particle Swarm Optimization
  • Ant Colony Optimization
  • Others

Capability Type

  • Routing
  • Clustering
  • Scheduling
  • Optimization

Application

  • Human Swarming
  • Drones
  • Robotics

Organizational Size

  • Small & Medium Enterprise
  • Large Enterprise

End User

  • Robotics & Automation
  • Transportation & Logistics
  • Healthcare
  • Others

 

Key benefits of the report:

• This study presents the analytical depiction of the global swarm intelligence market along with the current trends and future estimations to determine the imminent investment pockets.
• The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of global swarm intelligence market share.
• The current market is quantitatively analyzed from 2019 to 2027 to highlight the global swarm intelligence market growth scenario.
• Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.
• The report provides detailed swarm intelligence market analysis based on competitive intensity and how the competition will take shape in coming years.

 
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