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Swarm Intelligence Market - Forecast from 2021 To 2026

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    Report

  • 121 Pages
  • January 2022
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 5547571
The swarm intelligence market is expected to grow at a compound annual growth rate of 39.74% over the forecast period to reach a market size of US$308.916 million in 2026, from US$29.689 million in 2019. Swarm Intelligence is an artificial intelligence that is inspired by the behavioral models of insects like bees, ants, wasps, etc. The technology consists of a large number of individuals that collaborate on a platform to achieve a common goal that on a large scale not only improves human group decisions but also helps in forecasting the events. Swarm Intelligence is being widely used to solve big data problems and in drone technology used in the defense and military. Besides that, swarm intelligence is also being widely used in robotics which usually consists of agents like radar, sonar, and cameras that help in collecting data and information. Its application in transportation and logistics has also increased over the years which is expected to drive its growth further.



Growing Demand for Unmanned Aerial Vehicles:


The popularity and demand for Unmanned Aerial vehicles have witnessed significant growth over the years which is considered to be a major driver for Swarm Intelligence adoption in the coming years. An Unmanned Aerial Vehicle or drone is an aircraft-shaped device without any human or crew that uses swarm algorithms to perform in a more advanced fashion to search for affixed target or resource. Swarm intelligence applied with UAVs performs better than simple scanning algorithms. For instance, the HL-150 drone powered by swarm intelligence will be available in India in about 2 years that will be able to transport around 150 kilograms of cargo to a distance of 150 km. This is expected to be India's first ‘heavy lift' drone that can transform and redefine e-commerce delivery. Swarm Intelligence drones are highly used in the defense and military sector and their high efficiency and accuracy are expected to drive the growth of the market further in the coming years. For instance, earlier this year many governments made swarm intelligence project announcements which include Spanish RAPAZ, French Icarus project, U.K. Blue Bear Swarm, and Russian Lighting which are expected to play a key role in the defense and security of the nations. Unlike the natural swarms, drone swarms are capable of performing different tasks together which may include specialized tasks like attackers, communicators, sensors, and decoys.

Besides that, the increasing use of swarm intelligence in robotics is also considered a major driving factor for the market. For instance, Russia's new project “Marker” is an unmanned ground vehicle armed with machine guns and anti-tank missiles that can not be only used for military purposes but is also expected to take part in scientific research projects on the moon and other planets.

Lack of technical expertise and data privacy are major concerns for the market:


The swarm intelligence market does suffer from various challenges as well that include a lack of technical expertise in various nations and areas that can restrict its growth in those regions. Besides that, data privacy concern associated with the technology is a major restraint to growth due to the high vulnerability of cyber-attacks in the coming years. As per a report by IBM, the global average cost of a data breach in 2020 was USD 3.86 million and in the US it was USD 8.64 million. Also, high initial investment costs associated with the intelligence, high research cost, etc. can serve as major restraints to the market in the coming years.

Impact of COVID-19 Pandemic on the Swarm Intelligence Market:


With the emergence of the COVID 19 pandemic when all the industries had to shut down, the swarm intelligence industry also suffered. With the lockdown, curfew regulations, lack of labor, and export disruptions the functioning of industries were severely impacted that in turn affected the movement of non-essential goods including electronic hardware components used in the AI and Swarm Intelligence. But on the other hand, over the years with the expansion of technology and Artificial Intelligence, wide-scale application of cloud-based software and services, and Work from Home that initiated data accessibility during lockdowns, the market has created further opportunities for itself and is expected to record significant growth in the coming years.

Segmentation:

By End Users

  • Transportation
  • Telecommunication
  • Robotics
  • Construction Management
  • Military
  • Others

By Capability

  • Optimization
  • Routing
  • Staff Scheduling
  • Clustering

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • U.K.
  • Germany
  • France
  • Others
  • Middle East and Africa
  • UAE
  • South Africa
  • Israel
  • Saudi Arabia
  • Others
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • Taiwan
  • South Korea
  • Others

Table of Contents

1. INTRODUCTION
1.1. Market Overview
1.2. COVID-19 Scenario
1.3. Market Definition
1.4. Market Segmentation
2. RESEARCH METHODOLOGY
2.1. Research Data
2.2. Assumptions
3. EXECUTIVE SUMMARY
3.1. Research Highlights
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porters Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. The Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. SWARM INTELLIGENCE MARKET ANALYSIS, BY END-USERS
5.1. Introduction
5.2. Transportation
5.3. Telecommunication
5.4. Robotics
5.5. Construction Management
5.6. Military
5.7. Others
6. SWARM INTELLIGENCE MARKET ANALYSIS, BY CAPABILITY
6.1. Introduction
6.2. Optimization
6.3. Routing
6.4. Staff Scheduling
6.5. Clustering
7. SWARM INTELLIGENCE MARKET ANALYSIS, BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. USA
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Others
7.4. Europe
7.4.1. U.K.
7.4.2. Germany
7.4.3. France
7.4.4. Others
7.5. Middle East and Africa
7.5.1. UAE
7.5.2. South Africa
7.5.3. Israel
7.5.4. Saudi Arabia
7.5.5. Others
7.6. Asia Pacific
7.6.1. China
7.6.2. Japan
7.6.3. India
7.6.4. Australia
7.6.5. Taiwan
7.6.6. South Korea
7.6.7. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Emerging Players and Market Lucrativeness
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Vendor Competitiveness Matrix
9. COMPANY PROFILES
9.1. Power Blox
9.2. UNANIMOUS A.I.
9.3. Sentien Robotics
9.4. Cubbit
9.5. Swarm Engineering
9.6. Brainalyzed
9.7. Agilox
9.8. Archangel Imaging Ltd.

Companies Mentioned

  • Power Blox
  • UNANIMOUS A.I.
  • Sentien Robotics
  • Cubbit
  • Swarm Engineering
  • Brainalyzed
  • Agilox
  • Archangel Imaging Ltd.

Methodology

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Table Information