Nov 22, 2017   SOURCE: PR NewsWire

At 40+% CAGR Swarm Intelligence Market To Hit $447.2 Million by 2030 Led by Particle Swarm Optimization Model

PUNE, India, Nov. 22, 2017 /PRNewswire-iReach/ -- APAC expected to account for largest share of swarm intelligence market by 2020. APAC is expected to account for a substantial share of the global swarm intelligence market. APAC comprises China, Japan, and South Korea; China is considered one of the major contributors. The swarm intelligence market growth in APAC is attributed to the increased adoption of swarm-based drones in the military. In June 2017, China launched a swarm of 119 fixed-wing UAVs; the Chinese military is also planning to launch "armed drones" as a new battle technique. This would drive the growth of the swarm intelligence market in this region.

Browse 41 Market Data Tables and 18 Figures spread through 82 Pages and in-depth TOC on "Swarm Intelligence Market by Model, Capability (Clustering, Routing, Scheduling, and Optimization), Application (Robotics, Drones, and Human Swarming), and Geography - Global Forecast to 2030" http://www.rnrmarketresearch.com/swarm-intelligence-market-by-model-capability-clustering-routing-scheduling-and-optimization-application-robotics-drones-and-human-swarming-and-geography-global-forecast-to-2030-market-report.html .

The key players operating in the swarm intelligence market are DoBots (Netherlands), Hydromea (Switzerland), Sentien Robotics (US), Unanimous A.I. (US), AxonAI (US), Swarm Technology (US), SSI Schäfer - Fritz Schäfer (Germany), Valutico (Austria), Enswarm (UK), and Power-Blox (Switzerland).

Robotics expected to account for largest share of swarm intelligence market by 2020. Swarm robotics is the study of how a large number of relatively simple physically embodied agents can be designed such that a desired collective behavior emerges from the local interactions among agents and between agents and the environment. Robots in a swarm can be used to find the target in such a way that the final distribution is proportional to the target qualities. Some algorithms provide the robot swarm with scalability in terms of the number of robots and the number of targets, and with adaptability to a no uniform distribution of the target qualities. This factor would help in the growth of the swarm intelligence market in the coming years.

Inquire for Discount on "Swarm Intelligence Market - Global Forecast to 2030" research report at http://www.rnrmarketresearch.com/contacts/discount?rname=1250287 .

The research report on the swarm intelligence market covers the market segmented on the basis of the following segments: model, capability, application, and geography. The market has been segmented on the basis of model into Ant Colony Optimization, Particle Swarm Optimization, and others. On the basis of application, the swarm intelligence market has been classified into robotics, drones, and human swarming. The market has been segmented on the basis of capability into clustering, optimization, scheduling, and routing. The report covers the market based on4 major regions - North America, Europe, APAC, and RoW.

The breakup of the profiles of primary participants for the report has been given below:

    --  By Company Type: Tier 1 - 20%, Tier 2 - 55%, and Tier 3 - 25%
    --  By Designation: C-Level Executives - 50%, Directors - 25%, and Others -
        25%
    --  By Region: North America - 40%, Europe - 30%, APAC - 20%, and RoW - 10%

Make an Inquiry on Swarm Intelligence Market by Model, Capability (Clustering, Routing, Scheduling, and Optimization), Application (Robotics, Drones, and Human Swarming), and Geography - Global Forecast to 2030 research report at http://www.rnrmarketresearch.com/contacts/inquire-before-buying?rname=1250287 .

The Particle Swarm Optimization (PSO) model would lead swarm intelligence market during forecast period. Swarm intelligence market for drones to grow at highest CAGR during forecast period. The swarm intelligence market for drones is expected to grow at a CAGR of 69.80% from 2020 to 2030. Drone swarms dozens of fixed-wing drones flying in coordinated formation could be the future of unmanned combat.

Optimization expected to hold largest share of swarm intelligence market by 2020. Illustrative segmentation, analysis, and forecast for the market based on model, capability, application, and geography have been conducted to provide an overall view of the swarm intelligence market. The major drivers, restraints, opportunities, and challenges for the swarm intelligence market have been detailed in this report. A detailed competitive landscape of key players in the swarm intelligence market has been included in the report.

Another research titled Robotic Process Automation Market Global Forecast to 2022 says, the robotic process automation market is estimated to reach $2,467.0 million by 2022, at a CAGR of 30.14% between 2017 and 2022. Robotic process automated solution market likely to grow at the highest rate between 2017 and 2022. Rule-based robotic process automation held the largest market share in 2016. BFSI held the largest share of the overall robotic process automation market in 2016. Robotic process automation market for Asia Pacific expected to grow at the highest rate between 2017 and 2022. Companies such as Automation Anywhere (U.S.), Blue Prism (U.K.), Celaton Ltd (U.K.), IPSoft (U.S.), Nice Systems Ltd. (Israel), Pega systems (U.S.), Redwood Software (U.S.), UiPath (U.K.), Verint (U.S.), Xerox Corporation (U.S.) have been profiled in this 146 pages research report available at http://www.rnrmarketresearch.com/contacts/purchase?rname=908803 .

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