The swarm intelligence market size has grown exponentially in recent years. It will grow from $40 million in 2023 to $60 million in 2024 at a compound annual growth rate (CAGR) of 41.5%. The growth in the historic period can be attributed to research and development initiatives, rise of internet of things (IoT), military and defense applications, autonomous vehicles and drones, and growth of edge computing.
The swarm intelligence market size is expected to see exponential growth in the next few years. It will grow to $230 million in 2028 at a compound annual growth rate (CAGR) of 40.8%. The growth in the forecast period can be attributed to expansion of IoT ecosystem, smart cities initiatives, distributed energy systems, precision agriculture, and autonomous logistics and supply chain. Major trends in the forecast period include explainable swarm intelligence, swarm robotics in construction, swarms in space exploration, swarm intelligence for environmental monitoring, and swarm learning in education.
The increasing concerns regarding security and cyber threats are expected to drive the growth of the swarm intelligence market. Security concerns and cyber threats pose risks to the security, integrity, and confidentiality of information systems, as well as disrupting digital operations. Swarm algorithms have the capability to analyze large datasets to detect abnormal patterns, which can help identify security breaches and cyberattacks in real-time. For example, American Advisors Group reported in January 2024 that 53.35 million US citizens were affected by cybercrime in the first half of 2022. Additionally, UK businesses are expected to incur an average cost of $5339 (£4200) due to cybercrime in 2022. These factors highlight the increasing importance of swarm intelligence in addressing security challenges, thus driving market growth.
Major companies in the Swarm Intelligence market are developing innovative technological products, such as drone swarming capabilities, to enhance their profitability. Drone swarming capability enables a large group of unmanned aerial vehicles (UAVs) or drones to fly together as a unified and coordinated entity. For example, in October 2023, Shield AI launched V-BAT Teams, offering intelligent swarming drone capabilities. This technology allows multiple V-BATs to autonomously carry out missions in electronically contested environments, providing cost-effective, round-the-clock coverage across wide geographic areas for warfighters. The scalability of the technology allows it to support hundreds or even thousands of aircraft in future deployments.
In August 2023, Saab Automobile AB, a Sweden-based car manufacturing company, acquired BlueBear, a UK-based provider of artificial intelligence (AI) enabled autonomous swarm systems, for an undisclosed amount. This acquisition allows Saab to access BlueBear's expertise in autonomy, swarming, and command and control systems, enhancing its capabilities in these areas.
Major companies operating in the swarm intelligence market report are Yaskawa Electric Corporation, Robert Bosch GmbH, ABB Asea Brown Boveri Ltd., Onfleet Inc., Festo Inc., Scalable Robotics Inc., Fritz SchäFer GmbH, Kim Technologies Limited, Swarm Technologies Inc., Swarm Systems Limited, Embodied Inc., GoFreight Inc., Hydromea SA, Valutico UK Ltd., Valutico, Shenzhen Yuejiang Technology Co. Ltd., Enswarm Ltd., EpiSys Science Inc., ConvergentAI Inc., Sentien Robotics Inc., Unanimous A.I. Inc., Swarmbotics AI, Brainalyzed, Power-Blox AG, Kumo Logic Ltd.
North America was the largest region in the swarm Intelligence market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the swarm intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the swarm intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Swarm intelligence refers to the collective behavior of decentralized, self-organized systems made up of numerous interacting agents or individuals. This concept is often used to study and mimic the collective behavior of natural systems such as ant colonies, bird flocks, and bee swarms.
The main models of swarm intelligence include ant colony optimization (ACO), particle swarm optimization (PSO), and others. ACO is a population-based metaheuristic algorithm inspired by the foraging behavior of ants. It is utilized for optimization, clustering, scheduling, and routing tasks, and finds applications in robotics, drones, human swarming, transportation and logistics, robotics and automation, healthcare, and digital e-commerce in retail.
The swarm intelligence market research report is one of a series of new reports that provides swarm intelligence market statistics, including swarm intelligence industry global market size, regional shares, competitors with swarm intelligence market share, detailed swarm intelligence market segments, market trends, and opportunities, and any further data you may need to thrive in the swarm intelligence industry. This swarm intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The swarm intelligence market includes revenues earned by entities by providing services such as performance-based fees, subscription-based models, consulting services, and software solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The swarm intelligence market also includes sales of processing units, sensors and actuators, and communication modules. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Swarm Intelligence Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on swarm intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for swarm intelligence? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The swarm intelligence market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Model: Ant Colony Optimization; Particle Swarm Optimization; Other models2) By Capability: Optimization; Clustering; Scheduling; Routing
3) By Application: Robotics; Drones; Human Swarming
4) By End-User Industry: Transportation And Logistics; Robotics And Automation; Healthcare; Retail (Digital Ecommerce)
Key Companies Mentioned: Yaskawa Electric Corporation; Robert Bosch GmbH; ABB Asea Brown Boveri Ltd.; Onfleet Inc.; Festo Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Yaskawa Electric Corporation
- Robert Bosch GmbH
- ABB Asea Brown Boveri Ltd.
- Onfleet Inc.
- Festo Inc.
- Scalable Robotics Inc.
- Fritz SchäFer GmbH
- Kim Technologies Limited
- Swarm Technologies Inc.
- Swarm Systems Limited
- Embodied Inc.
- GoFreight Inc.
- Hydromea SA
- Valutico UK Ltd.
- Valutico
- Shenzhen Yuejiang Technology Co. Ltd.
- Enswarm Ltd.
- EpiSys Science Inc.
- ConvergentAI Inc.
- Sentien Robotics Inc.
- Unanimous A.I. Inc.
- Swarmbotics AI
- Brainalyzed
- Power-Blox AG
- Kumo Logic Ltd.
Methodology
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