A quick peek into the report
Table of Contents
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
2.1 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
3.1 Overview
3.2 Major Companies and Product Overview
3.3 Industry Attractiveness: Porter’s Five Forces Analysis
3.4 Value Chain Analysis
4.1 Assumptions and Limitations
4.2 Market Overview
5.1 Market Overview
5.2 Robot Swarms
5.3 Drone Swarms
5.4 Human Swarms
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)
7.1 Market Overview
7.2 North America
7.2.1 Swarm Intelligence Market in North America (by Country)
7.2.1.1 The U.S.
7.2.1.2 Canada
7.3 Europe
7.3.1 Swarm Intelligence Market in Europe (by Country)
7.3.1.1 Germany
7.3.1.2 France
7.3.1.3 The U.K
7.4 Asia-Pacific
7.4.1 Asia-Pacific Swarm Intelligence Market by Country
7.4.1.1 China
7.4.1.2 Japan
7.4.1.3 Australia
7.5 Rest-of-the-World
8.1 Overview
8.2 ConvergentAI
8.2.1 Company Overview
8.2.2 Product & Services
8.2.3 SWOT Analysis
8.3 DoBots
8.3.1 Company Overview
8.3.2 Product & Services
8.3.3 SWOT Analysis
8.4 Enswarm Ltd
8.4.1 Company Overview
8.4.2 Products & Services
8.4.3 SWOT Analysis
8.5 GreyOrange Pte Ltd.
8.5.1 Company Overview
8.5.2 Products & Services
8.5.3 SWOT Analysis
8.6 Hydromea SA
8.6.1 Company Overview
8.6.2 Product & Services
8.6.3 SWOT Analysis
8.7 Lockheed Martin Corporation
8.7.1 Company Overview
8.7.2 Products & Services
8.7.3 Financials
8.7.3.1 Overall Financials
8.7.3.2 Financial Summary
8.7.4 SWOT Analysis
8.8 Northrop Grumman
8.8.1 Company Overview
8.8.2 Product & Services
8.8.3 Overall Financials
8.8.3.1 Financial Summary
8.8.4 SWOT Analysis
8.9 Power-Blox AG
8.9.1 Company Overview
8.9.2 Products & Services
8.9.3 SWOT Analysis
8.10 Raytheon Company
8.10.1 Company Overview
8.10.2 Product & Services
8.10.3 Overall Financials
8.10.3.1 Financial Summary
8.10.4 SWOT Analysis
8.11 Sentien Robotics, LLC
8.11.1 Company Overview
8.11.2 Products & Services
8.11.3 SWOT Analysis
8.12 Swarm Technology, LLC
8.12.1 Company Overview
8.12.2 Products & Services
8.12.3 SWOT Analysis
8.13 Unanimous AI, Inc.
8.13.1 Company Overview
8.13.2 Products & Services
8.13.3 SWOT Analysis
8.14 Valutico
8.14.1 Company Overview
8.14.2 Products & Services
8.14.3 SWOT Analysis
8.15 Other Key Players
8.15.1 Apium Swarm Robotics
Company Overview
8.15.2 Kim Technologies
Company Overview
8.15.3 Netbeez
Company Overview
8.15.4 Nvidia
Company Overview
8.15.5 SwarmFarm Robotics
Company Overview
9.1 Research Scope
9.2 Global Swarm Intelligence Market Research Methodology
10.1 Related Reports
Table 2.1 Partnerships, Agreements, and Contracts, 2016-2018
Table 2.2 Product Launches, 2015-2018
Table 2.3 Other Developments, 2017-2018
Table 3.1 Major Companies and Product Overview
Table 3.2 Analyzing Threat from New Entrants in Global Swarm Intelligence Market
Table 3.3 Analyzing Threat from Substitute Products in Global Swarm Intelligence Market
Table 3.4 Analyzing Bargaining Power of Suppliers in Global Swarm Intelligence Market
Table 3.5 Analyzing Bargaining Power of Buyers in Global Swarm Intelligence Market
Table 3.6 Analyzing Intensity of Competitive Rivalry in Global Swarm Intelligence Market
Table 5.1 Global Swarm Intelligence Market Size, 2017-2028 (by Platform)
Table 6.1 Global Swarm Intelligence Market Size, 2017-2028 (by Algorithm Model)
Table 7.1 Geographical Distribution of Swarm Intelligence Market Size, 2017-2028 ($Million)
Table 8.1 ConvergentAI- Key Developments
Table 8.2 Hydromea SA- Key Developments
Table 8.3 Power-Blox- Key Developments
Table 8.4 Sentien Robotics, LLC- Key Developments
Table 8.5 Key Developments-Swarm Technology, LLC
Table 8.6 Key Developments- Unanimous AI, Inc.
Figure 1 Global Swarm Intelligence Market, 2017-2028
Figure 2 Global Swarm Intelligence Market by Platform, 2017-2028
Figure 3 Global Swarm Intelligence Market by Algorithm Model, 2017-2028 ($Million)
Figure 4 Global Swarm Intelligence Market by Region, 2017 ($Million)
Figure 1.1 Market Dynamics Snapshot
Figure 1.2 Impact Analysis on Market Drivers
Figure 1.3 Impact Analysis on Market Challenges
Figure 1.4 Comparison Between Swarm-Based UAVs and Traditional UAVs
Figure 2.1 Some of the Organic and Inorganic Growth Strategies Adopted by the Key Players
Figure 2.2 Percentage Share of Strategies Adopted by the Market Players, 2015-2018
Figure 2.3 Competitive Benchmarking for the Global Swarm Intelligence Market
Figure 3.1 Industry Insights
Figure 3.2 Porter’s Five Forces Analysis of Global Swarm Intelligence Industry
Figure 3.3 Threat from New Entrants
Figure 3.4 Threat from Substitute Products
Figure 3.5 Bargaining Power of Suppliers
Figure 3.6 Bargaining Power of Buyers
Figure 3.7 Intensity of Competitive Rivalry
Figure 3.8 Value Chain Analysis
Figure 4.1 Global Swarm Intelligence Market, 2017-2028
Figure 5.1 Classification of Global Swarm Intelligence Market (by Platform)
Figure 5.2 Global Swarm Intelligence market, 2017-2028 (by Platform)
Figure 5.3 Global Swarm Intelligence Market Size by Robot Swarm, 2017-2028
Figure 5.4 Global Swarm Intelligence Market Size by Drone Swarm, 2017-2028
Figure 5.5 Global Swarm Intelligence Market Size by Human Swarm, 2017-2028
Figure 6.1 Classification of Global Swarm Intelligence Market (by Algorithm Model)
Figure 6.2 Global Swarm Intelligence Market, 2017-2028 (by Algorithm Model)
Figure 6.3 Global Swarm Intelligence Market Size by Ant Colony Optimization (ACO), 2017-2028
Figure 6.4 Ant Colony Optimization (ACO) Solutions
Figure 6.5 Global Swarm Intelligence Market Size by PSO, 2017-2028
Figure 6.6 Global Swarm Intelligence Market Size by Other Algorithm Models, 2017-2028
Figure 7.1 Geographical Classification of Global Swarm Intelligence Market
Figure 7.2 Geographical Distribution of Swarm Intelligence Market, 2017-2028
Figure 7.3 North America Swarm Intelligence Market Size, 2017-2028
Figure 7.4 The U.S. Swarm Intelligence Market Size, 2017-2028
Figure 7.5 Canada Swarm Intelligence Market Size, 2017-2028
Figure 7.6 Europe Swarm Intelligence Market Size, 2017-2028
Figure 7.7 Germany Swarm Intelligence Market Size, 2017-2028
Figure 7.8 France Swarm Intelligence Market Size, 2017-2028
Figure 7.9 The U.K. Swarm Intelligence Market Size, 2017-2028
Figure 7.10 Asia-Pacific Swarm Intelligence Market Size, 2017-2028
Figure 7.11 China Swarm Intelligence Market Size, 2017-2028
Figure 7.12 Japan Swarm Intelligence Market Size, 2017-2028
Figure 7.13 Australia Swarm Intelligence Market Size, 2017-2028
Figure 7.14 Rest-of-the-World Swarm Intelligence Market Size, 2017-2028
Figure 8.1 Share of Key Companies
Figure 8.2 SWOT Analysis – ConvergentAI
Figure 8.3 SWOT Analysis – DoBots
Figure 8.4 Solutions Offered by Enswarm Ltd.
Figure 8.5 SWOT Analysis – Enswarm Ltd.
Figure 8.6 SWOT Analysis – GreyOrange Pte Ltd.
Figure 8.7 SWOT Analysis –Hydromea SA
Figure 8.8 Lockheed Martin Corporation – Overall Financials, 2015-2017
Figure 8.9 Lockheed Martin Corporation –Revenue by Business Segment, 2015-2017
Figure 8.10 Lockheed Martin Corporation –Revenue by Region, 2015-2017
Figure 8.11 SWOT Analysis – Lockheed Martin Corporation
Figure 8.12 Northrop Grumman– Overall Financials, 2015-2017
Figure 8.13 Northrop Grumman –Revenue by Business Segment, 2015-2017
Figure 8.14 Northrop Grumman –Revenue by Region, 2015-2017
Figure 8.15 SWOT Analysis – Northrop Grumman
Figure 8.16 SWOT Analysis – Power-Blox AG
Figure 8.17 Raytheon Company– Overall Financials, 2015-2017
Figure 8.18 Raytheon Company –Revenue by Business Segment, 2015-2017
Figure 8.19 Raytheon Company –Revenue by Region, 2015-2017
Figure 8.20 SWOT Analysis – Raytheon Company
Figure 8.21 SWOT Analysis – Sentien Robotics, LLC
Figure 8.22 SWOT Analysis – Swarm Technology, LLC
Figure 8.23 SWOT Analysis – Unanimous AI, Inc.
Figure 8.24 Features of Valutico’s Valuation Tool
Figure 8.25 Valutico - SWOT Analysis
Figure 9.1 Global Swarm Intelligence Market Scope
Figure 9.2 Research Methodology
Figure 9.3 Secondary Data Sources
Figure 9.4 Data Triangulation
Figure 9.5 Top Down and Bottom Up Approach
Figure 9.6 Global Swarm Intelligence Market Influencing Factors
Figure 9.7 Assumptions and Limitations
Topics Covered in the Report
• This report identifies the global swarm intelligence market under different segments such as platform, algorithm model, and region.
• It examines the prime supply-side factors, which affect the growth of the market, and the current and future trends, market drivers, restraints, and challenges prevalent in the global swarm intelligence market.
• The report also highlights the value chain of the industry.
• Detailed competitive analysis has been included in this report which focuses on the ¬key market developments and strategies followed by the top players in the market. Additionally, the competitive benchmarking map has been included in the existing study which analyzes the competitive strength of the players in the global swarm intelligence market.
• The market for different platforms such as robot swarm, drone swarm, and human swarm, has been estimated and analyzed.
• The market for different algorithm models such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Others (Artificial Fish Swarm Algorithm and Bee based Algorithms) has been estimated and analyzed.
• The global swarm intelligence market has been analyzed in the report for the major regions including North America, Europe, Asia-Pacific, and the Rest-of-the-World.
• A detailed Porter’s Five Forces analysis has been included in the report. Furthermore, the report also focuses on providing information on the key participants and future opportunities in the global swarm intelligence market.
• The study provides detailed analysis of the 12 key players in the global swarm intelligence market including ConvergentAI, DoBots, Enswarm, Hydromea SA, Power-Blox AG, Sentien Robotics, LLC, Swarm Technology, LLC, Unanimous A.I., Inc., Lockheed Martin Corporation, Raytheon Inc., Northrop Grumman, and Valutico in the Company Profiles section. This section covers business financials, company snapshots, key products and services, major developments, future programs (if any), and the individual SWOT analysis.
Report Description
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).
According to BIS Research analysis, the 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.
Market Overview
The commercial and non-commercial industries are growing at a rapid pace with the development of automated technologies. The deployment of drones, robots, and automated software solutions, help to carry out operations at higher efficiency and accuracy as compared to the humans. Robots and drones replace human efforts by automating the routine tasks. Drones are used for some of the applications such as capturing data through aerial photography, parcel delivery, emergency relief operations, and surveillance. Similarly, robots can also perform numerous tasks including surveillance, transport, and farming, among others. Therefore, to allow a group of drones or robots to carry out a task requires a communication link among each other. This enables the robots or drones to attain the higher efficiency at a low cost. Therefore, the emergence of swarm intelligence helps the group of robots, drones, and humans to perform a task collectively.
Swarm intelligence is a growing technology which is inspired from the behavior of social elements such as bees, ants, and wasps, among others. Swarm intelligence represents the artificial network of agents that communicate with each other with the help of simple rules based on different algorithms. Swarming is a field of artificial intelligence which is based on de-centralized and self-organized systems. It focuses on the collective behavior through the local interactions among the individuals with in a group. The swam intelligence could also be used to get the common outcome which has the involvement of humans through their collective decisions. This can be achieved through the software tool that allows the humans to work together collectively to reach to a common solution. Thus, swarm intelligence plays a vital role in achieving the coordination among all the agents of a group. In addition, the growing number of drones and robots across the globe is one of the most important factors contributing to the growth of the global swarm intelligence market. For instance, according to the International Federation of Robotics (IFR), the global sales of industrial robots have been increased by 29% and recorded 380,550 units in the year 2017. In addition, as per Federal Aviation Administration (FAA), the total number drones sold in the U.S. is expected to cross 7 million by the year 2020.
Commercial, defense, and government sectors are the end-users of the swarm intelligence applications. There are many research and development organizations such as National Aeronautics and Space Administration (NASA), and Defense Advanced Research Projects Agency (DARPA), among others, that are continuously putting their efforts in developing swarm intelligence solutions. Furthermore, swarm intelligence could foresee potential applications on the platforms that requires the involvement of humans to reach an outcome based on the collective behavior. Some of the leading players in the global swarm intelligence market includes ConvergentAI, DoBots, Enswarm, Hydromea SA, Power-Blox AG, Sentien Robotics, LLC, Swarm Technology, LLC, Unanimous A.I., Inc., Lockheed Martin Corporation, Raytheon Inc., Northrop Grumman, and Valutico.
FIGURE 1 GLOBAL SWARM INTELLIGENCE MARKET, 2017-2028 ($MILLION)
Source: Expert Interviews, Secondary Research and BIS Research Analysis
The preceding figure illustrates the increasing revenue generation of the global swarm intelligence market over the years. The market reported a revenue of $10.5 million, in 2017 and is expected to grow at a significant CAGR during the forecast period 2018-2028. The global swarm intelligence market has been segmented into three platforms: robot swarm, drone swarm, and human swarm. The robot swarm market acquired the largest share; however, drone swarm market is expected to grow at the highest CAGR during the forecast period, 2018-2028. In addition, the global swarm intelligence market is also classified into its algorithm model such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Others (Artificial Fish Swarm Algorithm and Bee based Algorithms). Ant Colony Optimization (ACO) reported the highest revenue in 2017; however, Particle Swarm Optimization (PSO) is estimated to grow at the highest CAGR during the forecast period, 2018-2028.
North America acquired the largest share of the global swarm intelligence market followed by Asia-Pacific, Europe, and the Rest of-the-World (RoW). The U.S. and Canada are some of the prominent countries in North America for the development of the swarm intelligence market. The U.S. dominates the overall market of the swarm intelligence in the year 2017. However, Asia-Pacific is expected to grow at the highest CAGR during the forecast period, 2018-2028. In Europe, Germany is one of the prominent countries which is currently focusing on the deployment of swarm intelligence. Some of the other prominent countries include the U.K. and France.
The Asia-Pacific region majorly consists of China, Japan, and Australia in the swarm intelligence market. China, currently, is having the largest share of the swarm intelligence market while Japan is expected to grow at the highest rate in Asia-Pacific region. Moreover, there are ample opportunities for new entrants in this region as the demand for swarm intelligence is increasing for commercial as well as military applications.
Global Swarm Intelligence Market - Analysis and Forecast, 2018-2028
Focus on Platform and Algorithm Model