群體智慧：市場佔有率分析、產業趨勢/統計、成長預測（2025-2030）

Swarm Intelligence - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年01月05日 | 出版商:

Mordor Intelligence | 英文 107 Pages | 商品交期: 2-3個工作天內

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簡介目錄

群體智慧市場規模預計到 2025 年為 7,950 萬美元，預計到 2030 年將達到 3.6853 億美元，預測期內（2025-2030 年）複合年成長率為 35.9%。

主要亮點

透過整合生物行為的人工智慧應用正在推動市場發展。人工智慧的進步、自動化程度的提高以及對高效資料分析的需求不斷增加預計將推動市場成長。
對有效和創新解決方案的需求不斷成長以及技術發展等因素主要推動了群體智慧市場的成長。此外，軍事和通訊應用中使用量的增加預計將在預測期內見證市場的成長。
群體智慧與先進技術密不可分，進而產生協同效應，增加影響力。例如，群體機器人可以與物聯網 (IoT) 設備整合，為智慧城市、工業自動化和環境監測應用提供自主監測和控制系統。
人工智慧和機器學習也提高了群體演算法的性能和彈性，使它們更具適應性和智慧。尤其是強化學習技術，使群體機器人系統更容易學習和適應，進而提高其在動態環境中的表現和彈性。
然而，市場成長受到基於叢集的系統的實施、設計複雜性和實施成本的挑戰。開發群體智慧解決方案需要模仿複雜生物系統行為的複雜演算法，並且需要人工智慧、機器人和控制系統等領域的專業知識。因此，取得和留住專業人員來設計、實施和管理這些系統的成本可能很高。

群體智慧市場趨勢

隨著最佳化演算法的出現，運輸和物流領域受到關注

物流和集體運輸正變得越來越流行，自動駕駛汽車的早期實驗也顯示出有希望的結果。集團物流在世界各地的生產基地和倉庫設施中發展勢頭強勁。這是因為集團物流允許運輸助理在倉庫和其他設施區域自由移動，而不受某些預先定義線性移動的限制。
集群智慧在倉庫和生產現場的運輸解決方案中的使用正在迅速增加，基於地面的運輸系統正在被取代（例如沿著輸送機、鐵軌、導軌）。自動駕駛汽車的優點在於它們可以普遍使用並單獨到達目的地。
在交通運輸領域，不斷增加的營運成本和更長的出行時間導致需要使用基於群體智慧的蟻群最佳化算法來解決的分析模型，以最佳化路線，預計將進一步推動整個交通運輸領域的調查市場。預測期內。
基於群體智慧的智慧交通解決方案的優點在於靈活性。自動駕駛汽車的開發和使用已達到較高水準。無人駕駛物流概念的使用，以及向集團物流的擴展，預計將在未來幾年內徹底改變整個產業，並意味著生產基地和倉庫的未來。

預計北美將成為預測期內最大的成長市場

該地區交通系統中自動搬運車的使用正在迅速擴大。因此，這家自動化物料輸送解決方案供應商正在其由專有 X-Swarm 智慧控制的智慧運輸系統產品組合中添加自動小車搬運車，瞄準小型運輸工具運輸等新應用領域。
例如，2023 年 1 月，AGILOX 透過新型全向小車移動器 AGILOX ODM 擴大了自主移動機器人 (AMR) 的範圍。這種智慧AMR是基於AGILOX提供的產業細分。
美國擁有最大的軍事預算，並正在發射集群無人機來改變戰爭的方式。由於軍事和國防服務中擴大採用基於群體的無人機，它也被認為是整個北美群體智慧成長的主要貢獻者之一。
2024 年 5 月，Tesseract Ventures 獲得美國特種作戰司令部 (USSOCOM) 頒發的其他交易協議 (OTA)，用於開發創新無人機技術 SWARM（特種作戰輔助機器人機器）。該先進系統透過先進的監視和戰術性響應能力增強了特種作戰部隊 (SOF) 的作戰能力。
該地區是致力於群體智慧應用的主要人工智慧（AI）和機器人公司的所在地，政府對人工智慧和機器人領域研發的支援預計將推動市場成長。此外，各行業對自動化的需求不斷成長，加上創新文化，使該地區成為採用群體智慧的沃土。

群體智慧產業概況

群體智慧市場的競爭是溫和的。有幾家大公司。從市場佔有率來看，目前少數參與者佔據市場主導地位。然而，隨著行為智慧的進步，新參與者正在透過在新興國家的投資、合併、收購和合作來增加其在市場上的影響力並擴大其足跡。

Swarm 是 SpaceX 於 2023 年 7 月收購的物聯網連接提供商，該公司停止銷售新設備，並繼續使用其 SwarmBEEs衛星星系支援地球與太空之間的持續 VHF通訊，隨後發布了公告。
2023 年 5 月 Firestorm Labs 是第一個全模組化無人機系統 (MUAS) 的開發商，旨在為現代戰場帶來經濟實惠的質量，與 AI 自主公司 EpiSci夥伴關係，開發了具有攻擊能力的無人機蜂群解決方案。

其他好處：

Excel 格式的市場預測 (ME) 表
3 個月分析師支持

Key Highlights

The market is driven by the application of artificial intelligence through the integration of biological behavior. Advancements in artificial intelligence, increasing automation, and the growing need for efficient data analysis are expected to drive market growth.
Factors such as the increasing demand for effective and innovative solutions, as well as technological development, primarily drive the growth of the swarm intelligence market. Additionally, the increased use in military and communications applications is expected to provide growth prospects for the market over the forecast period.
Swarm intelligence is inseparably linked to advanced technologies, resulting in synergies that increase their impact. For example, swarm robotics integrates with Internet of Things (IoT) devices, allowing for autonomous monitoring and control systems for smart cities, industrial automation, and environmental monitoring applications.
Artificial intelligence and machine learning also enhance the performance and resilience of swarm algorithms, allowing them to be more adaptive and intelligent. In particular, reinforcement learning techniques make it easier for swarm robotics systems to learn and adapt, resulting in improved performance and resilience in dynamic environments.
However, market growth is challenged by the implementation, complexity of the design, and deployment costs associated with swarm-based systems. The development of swarm intelligence solutions necessitates complex algorithms that imitate the behavior of complex biological systems, creating a need for expertise in areas such as artificial intelligence, robotics, and control systems. Thus, acquiring and retaining specialized talent for designing, implementing, and managing these systems incur considerable costs.

Swarm Intelligence Market Trends

Transportation and Logistics Sector is Gaining Traction Due to the Emergence of an Optimization Algorithm

Intralogistics and collective transport are becoming increasingly popular, and early experiments with autonomous vehicles are showing promising results. At production sites and warehouse facilities worldwide, swarm logistics is gaining momentum as it enables the free movement of transport assistants in warehouses and other facility areas without restricting them to specific predefined linear movements.
The use of swarm intelligence for transport solutions at warehouses and production sites is rapidly increasing, and floor-based transport systems are being replaced (e.g., on conveyor belts, rails, or along induction tracks). Autonomous vehicles' benefit is that they can be used universally and reach their destinations individually.
In transportation, the increased operational costs for business, as well as high travel time, catered to the need for analytical models that can be solved using the swarm intelligence-based Ant Colony Optimization algorithm for optimizing the route, which is further projected to propel the studied market across the transportation sector over the forecast period.
The increasing benefit of intelligent transport solutions based on swarm intelligence is the resulting flexibility. The development and use of autonomous vehicles have reached a high level. The use of driverless intralogistics concepts and, thus, a shift toward swarm logistics are anticipated to revolutionize the entire industry in the coming years and signify the future of production sites and warehouses.

North America is Expected to be the Largest-growing Market During the Forecast Period

The use of automatic movers in transport systems is growing rapidly in the region. Thus, automated material handling solutions providers are adding an autonomous dolly mover to their range of intelligent transport systems controlled by its proprietary X-Swarm intelligence and targeting a new area of applications, such as the transport of small load carriers.
For instance, in January 2023, AGILOX expanded its autonomous mobile robots (AMRs) range with the new Omnidirectional Dolly Mover AGILOX ODM. The intelligent AMR is based on the AGILOX X-SWARM technology and offers new applications and other industry segments where small load carriers, which the new AGILOX ODM is designed to transport, are widely used, especially in the electronics and pharmaceutical industries.
The United States has the most significant military budget and is launching swarm drones to alter how wars are conducted. Also, it is considered one of the major contributors to the growth of swarm intelligence across North America, which is attributed to the increased adoption of swarm-based drones in the military and defense services.
In May 2024, Tesseract Ventures was awarded an Other Transaction Agreement (OTA) by the US Special Operations Command (USSOCOM) for the development of an innovative drone technology, the Special Warfighter Assistive Robotic Machine (SWARM). This advanced system is set to enhance the operational capabilities of Special Operations Forces (SOF) through advanced surveillance and tactical response functionalities.
The region has the presence of leading artificial intelligence (AI) and robotics companies that are working on swarm intelligence applications, and the government's support for research and development in the AI and robotics sectors is expected to drive market growth. Additionally, the growing demand for automation in various sectors, coupled with a culture of innovation, makes the region fertile ground for swarm intelligence adoption.

Swarm Intelligence Industry Overview

The swarm intelligence market is moderately competitive. It consists of a few major players. In terms of market share, some of the players currently dominate the market. However, with the advancement in behavioral intelligence, new players are increasing their market presence, thereby expanding their business footprint through investment, mergers, acquisitions, and collaboration across emerging economies.

July 2023: Swarm, the Internet-of-Things connectivity provider acquired by SpaceX, announced that it would no longer be selling new devices and would continue to support ongoing VHF communications between Earth and space using its SwarmBEEs satellite constellation.
May 2023: Firestorm Labs, the developer of the first completely modular unmanned aerial system (MUAS) to deliver affordable mass to the modern battlefield, formed a partnership with AI autonomy company EpiSci to develop attritable drone swarming solutions.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support

1 INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
- 4.2.1 Threat of New Entrants
- 4.2.2 Bargaining Power of Buyers/Consumers
- 4.2.3 Bargaining Power of Suppliers
- 4.2.4 Threat of Substitute Products
- 4.2.5 Intensity of Competitive Rivalry

5 MARKET DYNAMICS

5.1 Market Drivers
- 5.1.1 Growing Demand for the Swarm Robotics is Expected to Drive Across the Logistic Sector
- 5.1.2 Rising Application of Real-time Artificial Intelligence Algorithm in Patent Recognition
5.2 Market Restraints
- 5.2.1 Lack of Required Skills Among Professionals

6 MARKET SEGMENTATION

6.1 By Type
- 6.1.1 Ant Colony Optimisation
- 6.1.2 Particle Swarm Optimisation
- 6.1.3 Swarm-based Network
- 6.1.4 Other Types
6.2 By End-user Industry
- 6.2.1 Transportation and Logistics
- 6.2.2 Robotics and Automation
- 6.2.3 Healthcare
- 6.2.4 Retail (Digital Ecommerce)
- 6.2.5 Other End-user Industries
6.3 By Geography
- 6.3.1 North America
- 6.3.2 Europe
- 6.3.3 Asia
- 6.3.4 Australia and New Zealand

7 COMPETITIVE LANDSCAPE

7.1 Company Profiles
- 7.1.1 Unanimous AI
- 7.1.2 Swarm Technology
- 7.1.3 ConvergentAI Inc.
- 7.1.4 Valutico UK Ltd
- 7.1.5 Sentien Robotics LLC
- 7.1.6 Kim Technologies
- 7.1.7 Brainalyzed Insight
- 7.1.8 Power-Blox AG
- 7.1.9 Swarm Systems Limited
- 7.1.10 Hydromea