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Swarm Intelligence Market - Forecasts from 2025 to 2030

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    Report

  • 131 Pages
  • December 2024
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 6040041
The swarm intelligence market is expected to grow at a compound annual growth rate of 34.19% over the forecast period to reach a market size of US$861.338 million in 2030, from US$197.925 million in 2025.

Swarm intelligence is an artificial intelligence (AI) inspired by the behavioral models of insects like bees, ants, wasps, etc. The technology consists of many individuals collaborating on a platform to achieve a common goal that, on a large scale, improves human group decisions and helps in forecasting events. Swarm intelligence is being widely used to solve big data problems, and drone technology is used in defense and the 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.

The swarm intelligence market is experiencing rapid growth due to the rising demand for innovative solutions and advancements in artificial intelligence (AI), robotics, and computing power. This technology is increasingly being adopted across various industries, including military and defense, agriculture, logistics, healthcare, and finance. Applications of swarm intelligence include swarm-based drones, autonomous systems, precision farming, efficient route planning, personalized medicine, portfolio optimization, and risk management, among others.

Swarm intelligence market drivers:

Increasing demand for unmanned aerial vehicles is expected to fuel the swarm intelligence market.

The popularity and demand for unmanned aerial vehicles (UAVs) have witnessed significant growth over the years, which is considered 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 an affixed target or resource. Swarm intelligence applied with UAVsperforms better than simple scanning algorithms. For instance, the HL-150 drone powered by swarm intelligence will be available in India in about two years and 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 market growth further in the coming years. For instance, many governments made swarm intelligence project announcements, including Spanish RAPAZ, the French Icarus project, the 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 natural swarms, drone swarms can perform different tasks together, including specialized tasks like attackers, communicators, sensors, and decoys.

In addition to this, in February 2024, Aertec, a Spanish aerospace and defense technologic firm, developed three TARSIS RPAS systems for the Ministry of Defense of Spain. The TARISIS-ISTAR is a high-end, tactical, compact class I UAS, which allows multiple combinations and is designed for demanding operational environments. The systems integrated new functionalities and payloads developed by the General Directorate of Armament and Material.

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 be used for military purposes but is also expected to participate in scientific research projects on the moon and other planets.

Swarm intelligence market geographical outlooks:

North America is expected to dominate the swarm intelligence market.

North America is expected to dominate the swarm intelligence market due to its major technology companies focusing on research and development of AI and robotics. North America is a key hub for advances in swarm intelligence, driven by substantial investments in AI, robotics, and related fields that enhance the development of swarm intelligence technologies.

Moreover, the growing investments in the US military will contribute to increasing the demand in areas of swarm intelligence primarily directed toward developing drone swarms and autonomous systems. For instance, as per the Stockholm International Peace Research Institute (SIPRI), the U.S. defense spending in 2023 accounted for about 40 percent of global military spending with a $55 billion increase from 2022 to 2023, surpassing the defense spending of the top nine countries combined.

Further, leading American technology firms like Google, Amazon, and Microsoft are delving into swarm intelligence research and development. Despite this, the big-time investors in swarm intelligence, especially in drone swarms and autonomous systems, remain in the US military. However, it is also seen in agriculture, logistics, and health settings, proving that the North American swarm intelligence market is a potential region for continued expansion.

Reasons for buying this report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The swarm intelligence market is segmented and analyzed as below:

By End Users

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

By Capability

  • Optimization
  • Routing
  • Staff Scheduling
  • Clustering

By Geography

  • North America
  • South America
  • Europe
  • Middle East and Africa
  • Asia-Pacific

Table of Contents

1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key Benefits for Stakeholders
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Process
3. EXECUTIVE SUMMARY
3.1. Key Findings
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View
5. SWARM INTELLIGENCE MARKET 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 BY CAPABILITY
6.1. Introduction
6.2. Optimization
6.3. Routing
6.4. Staff Scheduling
6.5. Clustering
7. SWARM INTELLIGENCE MARKET BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. By End Users
7.2.2. By Capability
7.2.3. By Country
7.2.3.1. USA
7.2.3.2. Canada
7.2.3.3. Mexico
7.3. South America
7.3.1. By End Users
7.3.2. By Capability
7.3.3. By Country
7.3.3.1. Brazil
7.3.3.2. Argentina
7.3.3.3. Others
7.4. Europe
7.4.1. By End Users
7.4.2. By Capability
7.4.3. By Country
7.4.3.1. United Kingdom
7.4.3.2. Germany
7.4.3.3. France
7.4.3.4. Others
7.5. Middle East and Africa
7.5.1. By End Users
7.5.2. By Capability
7.5.3. By Country
7.5.3.1. Saudi Arabia
7.5.3.2. UAE
7.5.3.3. South Africa
7.5.3.4. Israel
7.5.3.5. Others
7.6. Asia Pacific
7.6.1. By End Users
7.6.2. By Capability
7.6.3. By Country
7.6.3.1. China
7.6.3.2. Japan
7.6.3.3. India
7.6.3.4. South Korea
7.6.3.5. Taiwan
7.6.3.6. Australia
7.6.3.7. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
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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