DUBLIN, March 27, 2024 /PRNewswire/ — The “Swarm Intelligence Market Size, Share & Trends Analysis Report By Model (Ant Colony Optimization, Particle Swarm Optimization, Others), By Capability, By Application, By End-use, By Region, And Segment Forecasts, 2024 – 2030” report has been added to ResearchAndMarkets.com’s offering.

The global swarm intelligence market size is anticipated to reach USD 306.1 million by 2030 and is anticipated to grow at a CAGR of 38.4% from 2024 to 2030.

The increasing complexity of problem-solving requirements in numerous industries, such as automotive & transportation, healthcare & life science, agriculture, and others, fuels the demand for swarm intelligence. Traditional algorithms may need help to handle intricate and multifaceted challenges. By leveraging collective intelligence, Swarm intelligence addresses complex problems ranging from financial modeling and optimization to data analysis. Its adaptive nature and capacity to handle intricate scenarios make it a preferred choice for industries grappling with increasingly sophisticated problem landscapes.

The increasing focus on decentralized and edge computing drives the expansion of the market. Swarm intelligence aligns seamlessly with edge computing principles, allowing for distributed decision-making and processing closer to the data source. It aligns particularly well with the requirements of applications such as edge analytics, where quick and localized decision-making is paramount.

In addition, environmental monitoring and conservation efforts are contributing to the growth of the market. The ability of swarm intelligence to efficiently monitor and manage environmental parameters, such as air quality, biodiversity, and climate conditions, makes it an instrumental technology for ecological studies and conservation initiatives. The collaborative nature of swarm intelligence allows for deploying sensor networks that collectively gather and process environmental data, aiding in sustainable resource management and conservation efforts.

Swarm Intelligence Market Report Highlights

• Ant colony optimization dominated the market with a share of 45.0% in 2023 owing to the increasing complexity of optimization problems encountered across diverse industries
• The particle swarm optimization segment is projected to grow at the fastest CAGR over the forecast period with the integration of artificial intelligence (AI) and machine learning in particle swarm optimization
• Optimization segment dominated the market in 2023, fueled by the increasing demand for adaptive and self-learning systems
• Routing segment is projected to grow at the fastest CAGR over the forecast period. Increasing demand for intelligent and autonomous systems in transportation is driving the segment growth
• The robotics segment dominated the market in 2023. The increasing complexity of tasks in industries such as logistics, further drives the need for swarm intelligence in the robotics segment
• The human swarming segment is projected to grow at the fastest CAGR over the forecast period, driven by the demand for effective crowd management, enhanced teamwork, and decentralized decision-making
• Transportation & logistics dominated the market in 2023. Swarm intelligence in transportation and logistics is driven by the imperative to reduce environmental impact
• Retail & e-commerce is projected to grow at the fastest CAGR over the forecast period. The demand for efficient and dynamic pricing strategies drives the adoption of swarm intelligence in the retail and e-commerce segment
• North America dominated the market with a share of 36.3% in 2023, driven by widespread adoption across industries, technological innovation, focus on sustainability, and supportive regulatory frameworks

Company Profiles

• ConvergentAI, Inc
• Robert Bosch GmbH
• DoBots
• Swarm Technology
• Valutico
• PowerBlox
• Mobileye
• Continental AG
• Apium Swarm Robotics
• Kim Technologies
• Hydromea
• Sentien Robotics
• Axon Enterprise, Inc
• SSI Schafer – Fritz Schafer
• Enswarm

Key Topics Covered:

Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
1.4. Research Scope and Assumptions

Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights

Chapter 3. Swarm Intelligence Market Variables, Trends, & Scope
3.1. Market Introduction/Lineage Outlook
3.2. Market Size and Growth Prospects (USD Million)
3.3. Industry Value Chain Analysis
3.4. Market Dynamics
3.4.1. Market Drivers Analysis
3.4.1.1. The rising adoption of swarm-based drones in military
3.4.1.2. Growing government initiatives for the development of AI
3.4.2. Market Restraints Analysis
3.4.2.1. Resistance to the use of swarm intelligence technology
3.4.3. Industry Opportunities
3.4.4. Industry Challenges
3.5. Swarm Intelligence Market Analysis Tools
3.5.1. Porter’s Analysis
3.5.2. PESTEL Analysis

Chapter 4. Swarm Intelligence Market: Model Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Swarm Intelligence Market: Model Movement Analysis, 2023 & 2030 (USD Million)
4.3. Ant Colony Optimization
4.4. Particle Swarm Optimization
4.5. Others

Chapter 5. Swarm Intelligence Market: Capability Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Swarm Intelligence Market: Capability Movement Analysis, 2023 & 2030 (USD Million)
5.3. Optimization
5.4. Clustering
5.5. Scheduling
5.6. Routing

Chapter 6. Swarm Intelligence Market: Application Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Swarm Intelligence Market: Application Movement Analysis, 2023 & 2030 (USD Million)
6.3. Robotics
6.4. Drones
6.5. Human Swarming

Chapter 7. Swarm Intelligence Market: End-use Estimates & Trend Analysis
7.1. Segment Dashboard
7.2. Swarm Intelligence Market: End-use Movement Analysis, 2023 & 2030 (USD Million)
7.3. Transportation & Logistics
7.4. Robotics & Automation
7.5. Healthcare
7.6. Retail & E-commerce
7.7. Others

Chapter 8. Swarm Intelligence Market: Regional Estimates & Trend Analysis
8.1. Swarm Intelligence Market Share, By Region, 2023 & 2030, USD Million

Chapter 9. Competitive Landscape
9.1. Recent Developments & Impact Analysis by Key Market Participants
9.2. Company Categorization
9.3. Company Market Positioning
9.4. Company Market Share Analysis
9.5. Company Heat Map Analysis
9.6. Strategy Mapping
9.6.1. Expansion
9.6.2. Mergers & Acquisition
9.6.3. Partnerships & Collaborations
9.6.4. New Product Launches
9.6.5. Research And Development
9.7. Company Profiles
9.7.1. Participant’s Overview
9.7.2. Product Benchmarking
9.7.3. Recent Developments/ Strategic Initiatives

For more information about this report visit https://www.researchandmarkets.com/r/cigw0b

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