DUBLIN--(BUSINESS WIRE)--The "Global Swarm Intelligence Market: Focus on Platform and Algorithm Model - Analysis and Forecast, 2018-2028" report has been added to ResearchAndMarkets.com's offering.
Global swarm intelligence market generated $10.5 million in 2017 and is estimated to grow at a CAGR of 37.49% during 2018-2028.
North America dominated the global swarm intelligence market in 2017 with the U.S. acquiring the most significant market share, globally. However, Asia-Pacific is expected to have the highest growth rate during the forecast period 2018-2028.
The global swarm intelligence market is expected to witness significant growth during the forecast period 2018-2028 due to the rising demand from drone and robot applications across various industries including commercial, and military, among others. The increasing number of drones for defense and need for higher efficiency are some of the key drivers for the growth of the global swarm intelligence market.
The rising demand of swarms in autonomous vehicles and swarm intelligence for parcel delivery through drones are some of the future opportunities. The global swarm intelligence market has been classified into three platforms: robot swarm, drone swarm, and human swarm. Drone swarm market is expected to have the highest growth rate during the forecast period 2018-2028 due to the extensive demand from commercial and military end-users.
Furthermore, the global swarm intelligence market has been classified into three different algorithm models including Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Others (Artificial Fish Swarm Algorithm and Bee based Algorithms).
Key Topics Covered:
Executive Summary
1 Market Dynamics
1.1 Market Drivers
1.1.1
Growing Popularity of Swarm Intelligence in Defense
1.1.2 Swarm
Intelligence Optimizes Operational Efficiency
1.1.3 UAV Swarms for
Entertainment
1.2 Market Challenges
1.2.1 Technical Challenges
and High Initial Investment
1.2.2 Vulnerability to the Cyber Attacks
1.3
Market Opportunities
1.3.1 Rise in Demand of Swarm Intelligence for
Autonomous Vehicle
1.3.2 Swarm Intelligence for Parcel Delivery
Through Drones
2 Competitive Insights
2.1 Overview: Key
Strategies and Developments
2.1.1 Partnerships, Agreements, and
Contracts
2.1.2 Product Launches
2.1.3 Other Developments
2.2
Competitive Benchmarking Map
3 Industry Analysis
3.1 Overview
3.2 Major
Companies and Product Overview
3.3 Industry Attractiveness:
Porter's Five Forces Analysis
3.4 Value Chain Analysis
4 Global Swarm Intelligence Market, 2017-2028
4.1
Assumptions and Limitations
4.2 Market Overview
5 Global Swarm Intelligence Market, 2017-2028 (by Platform)
5.1
Market Overview
5.2 Robot Swarms
5.3 Drone Swarms
5.4
Human Swarms
6 Global Swarm Intelligence Market, 2017-2028 (by Algorithm
Model)
6.1 Market Overview
6.2 Ant Colony
Optimization (ACO)
6.3 Particle Swarm Optimization (PSO)
6.4
Others (Artificial Fish Swarm Algorithm and Bee based Algorithms)
7 Global Swarm Intelligence Market, 2017-2028 (by Region)
8 Company Profiles
- Apium Kim Technologies
- Apium Swarm Robotics
- ConvergentAI
- DoBots
- Enswarm Ltd
- GreyOrange Pte Ltd.
- Hydromea SA
- Lockheed Martin Corporation
- Netbeez
- Northrop Grumman
- Nvidia
- Power-Blox AG
- Raytheon Company
- Sentien Robotics, LLC
- Swarm Technology, LLC
- SwarmFarm Robotics
- Unanimous AI, Inc.
- Valutico
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