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1459351

全球群體機器人市場 - 2024-2031

Global Swarm Robotics Market - 2024-2031

出版日期: 2024年04月03日 | 出版商:

DataM Intelligence | 英文 208 Pages | 商品交期: 約2個工作天內

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簡介目錄

概述

全球群體機器人市場將於 2023 年達到 8 億美元，預計到 2031 年將達到 69 億美元，2024-2031 年預測期間複合CAGR為 31.1%。

感測器、人工智慧和機器人技術的不斷進步推動了群體機器人的創新。當群體機器人系統配備自主導航、協作決策和即時資料處理等先進功能時，它們的功能會更好，用途也更大。各行業對自動化解決方案不斷成長的需求推動了群體機器人的採用。企業利用群體機器人來提高製造、運輸、倉庫自動化、檢查、維護和監控等領域的成本效益、生產力和營運效率。

主要參與者不斷成長的創新有助於推動預測期內的市場成長。例如，2022年6月14日，推出的BLR Mk 2無人技術證實該系統是由特拉維夫BL先進地面支援系統有限公司生產的無人地面車輛（UGV）。國防部戰車和裝甲運兵車管理局製造了30 公釐自主砲塔。產業官員聲稱，自主套件可以識別並計算射程，確定目標的優先級，並選擇在交戰中使用哪些武器。

由於酒店業擴大採用群體機器人，北美成為市場的主導地區。例如，2023 年 2 月 3 日，領先的創新機器人供應商 TAILOS 推出了 TAILOS Swarm。借助這項最先進的技術，多個機器人可以獨立運行，並在更短的時間內清潔大面積區域，在深度清潔髒污表面方面提供了前所未有的效率水平。隨著越來越多的美國飯店開始使用 TAILOS Swarm，他們的清潔標準正在上升到前所未有的高度。

動力學

機器人和人工智慧的進步

由於機器人技術和人工智慧的進步，群體機器人能夠自行處理複雜和動態的情況。由於改進了路徑規劃、避障、定位和繪圖演算法，機器人的操作更加有效和安全。這使得機器人能夠在各種環境下執行活動，包括倉庫、戶外、災區和工業設施。由人工智慧驅動的群體機器人系統可實現協作機器人決策。

基於機器學習、強化學習和分散式智慧的群體演算法使機器人能夠即時共享資訊、協調行動、分配任務並適應不斷變化的條件。協作方法提高了任務效率、資源利用率和整體系統效能。人工智慧是軍事決策的關鍵組成部分。透過機器學習演算法進行大規模資料分析，幫助領導者即時做出決策。人工智慧驅動的模擬也增加了軍事人員的訓練場景。

基於 Swarn 的無人機在軍事中的採用越來越多

基於集群的無人機提高了軍事應用的運作效率。它可以比單架無人機更有效地執行協調任務，例如偵察、監視、目標偵測和情報收集。群體無人機覆蓋更大區域、即時協作和適應動態情況的能力提高了軍隊的任務成功率和作戰成果。集群無人機具有可擴展性和靈活性，允許軍事單位根據任務要求部署不同規模的集群。可擴展性支援快速反應、任務客製化和自適應策略，以應對不同的作戰場景，包括搜救任務、週邊安全、戰場監控和態勢感知。

印度軍隊也採用群體機器人進行行動。例如，2022年8月26日，Swarm無人機被發射到印度陸軍機械化部隊。印度陸軍正在將集群無人機系統整合到其機械化士兵中，該系統配備了使用人工智慧檢測目標的先進軟體。群體無人機是由單一站點管理的無人機組，並透過程式設計執行各種活動，包括使用演算法進行監視。

開發成本高

群體機器人系統的開發需要大量的研發投資。其中包括創建群體演算法、測試模擬和實際環境、創建機器人並對其進行原型設計、改進軟體介面以及最大化硬體組件。研發成本高昂是由於招募合格的工程師、技術人員和研究人員以及購買專門的硬體和軟體所花費的費用。為了使群體機器人系統達到所需的性能、可擴展性和可靠性，經常需要多次迭代。每次迭代都會產生與重新設計組件、進行測試和驗證、解決技術挑戰以及納入試驗回饋相關的成本。

群體機器人需要專門為群體操作量身定做的硬體、感測器、執行器、通訊模組和電源系統。由於其先進的功能，例如群體通訊協定、定位精度、障礙物檢測和協作行為，這些組件通常比傳統機器人技術中使用的組件更昂貴。採購和整合這些組件會增加開發成本。驗證群體機器人演算法和行為需要在不同的環境中進行模擬和測試，包括虛擬模擬、受控環境和現場試驗。創建真實的模擬模型、建立測試基礎設施、進行實驗、收集資料和分析結果需要財務資源和營運費用，從而增加整體開發成本。

Swarm robotics innovation is being driven by continuous advancements in sensors, AI and robotics technology. When swarm robot systems are equipped with advanced features like autonomous navigation, cooperative decision-making and real-time data processing, they function better and have greater uses. Swarm robotics adoption is driven by a growing demand for automation solutions across sectors. Swarm robots are utilized by businesses to increase cost-effectiveness, productivity and operational efficiency in areas including manufacturing, shipping, warehouse automation, inspection, maintenance and surveillance.

Growing innovations by the major key players help to boost market growth over the forecast period. For instance, on June 14, 2022, BLR Mk 2 unmanned technology launched confirmed that the system is an unmanned ground vehicle (UGV) produced by Tel Aviv-based BL Advanced Ground Support Systems Ltd. The Tank and APC Directorate of the Ministry of Defense created the 30 mm autonomous turret. Industry officials claim that the autonomous kit acknowledges and calculates the range, prioritizes targets and chooses which weapons to use in an engagement.

North America is the dominating region in the market due to the growing adoption of swarm robots in the hotel industry. For instance, on February 03, 2023, TAILOS, the leading provider of innovative robotics launched the TAILOS Swarm. With the help of this state-of-the-art technology, several robots function independently and clean huge areas in a much shorter amount of time, providing previously unheard-of levels of efficiency in deep cleaning soiled surfaces. As more US hotels start utilizing TAILOS Swarm, their cleanliness standards are rising to unprecedented heights.

Dynamics

Advancements in Robotics and AI

Swarm robots are capable of handling complicated and dynamic situations on their own because of advancements in robotics and artificial intelligence. The robots operate more effectively and securely due to improved algorithms for path planning, obstacle avoidance, localization and mapping. The allows the robots to execute activities in a variety of contexts, including warehouses, outdoors, disaster areas and industrial facilities. Swarm robotics systems powered by AI enable cooperative robot decision-making.

Swarm algorithms based on machine learning, reinforcement learning and distributed intelligence enable robots to share information, coordinate actions, allocate tasks and adapt to changing conditions in real-time. The collaborative approach improves task efficiency, resource utilization and overall system performance. Artificial Intelligence is a critical component in military decision-making. Large-scale data analysis is performed by machine learning algorithms, which assist leaders in making decisions instantly. AI-powered simulations also add to military personnel's training scenarios.

Growing Adoption of the Swarn-Based Drones in Military

Swarm-based drones offer enhanced operational efficiency for military applications. It can perform coordinated missions, such as reconnaissance, surveillance, target detection and intelligence gathering, more effectively than individual drones. The ability of swarm drones to cover larger areas, collaborate in real-time and adapt to dynamic situations improves mission success rates and operational outcomes for military forces. Swarm drones are scalable and flexible, allowing military units to deploy varying swarm sizes based on mission requirements. The scalability enables rapid response, mission customization and adaptive strategies to address diverse operational scenarios, including search and rescue missions, perimeter security, battlefield monitoring and situational awareness.

Indian army also adopts swarm robots for their operations. For instance, on August 26, 2022, Swarm drones were launched into the mechanized forces of the Indian Army. The Indian Army is integrating the swarm drone system, which comes with advanced software that uses artificial intelligence to detect targets, into its mechanized soldiers. Swarm drones are groups of drones that are managed from a single station and programmed to perform a variety of activities, including surveillance, using an algorithm.

High Development Costs

Swarm robotics system development requires a large investment in research and development. The includes creating swarm algorithms, testing both simulated and actual environments, creating and prototyping robots, improving software interfaces and maximizing hardware components. The high costs of R&D are a result of the spending involved in recruiting qualified engineers, technicians and researchers as well as purchasing specialized hardware and software. For swarm robotics systems to reach the required performance, scalability and reliability, several iterations are frequently required. Each iteration incurs costs related to redesigning components, conducting testing and validation, addressing technical challenges and incorporating feedback from trials.

Swarm robots require specialized hardware, sensors, actuators, communication modules and power systems tailored for swarm operations. The components are often more expensive than those used in traditional robotics due to their advanced functionalities, such as swarm communication protocols, localization accuracy, obstacle detection and collaborative behaviors. Procuring and integrating these components add to the development costs. Validating swarm robotics algorithms and behaviors necessitates simulation and testing in diverse environments, including virtual simulations, controlled environments and field trials. Creating realistic simulation models, setting up testing infrastructures, conducting experiments, collecting data and analyzing results entail financial resources and operational expenses, contributing to overall development costs.

Segment Analysis

The global swarm robotics market is segmented based on platform, application, end-user and region.

Growing Adoption of Swarm Robotics in Unmanned Ground Vehicles (UGV) Platform

Based on the platform, the swarm robotics market is segmented into unmanned ground vehicles (UGV), unmanned aerial vehicles (UAV) and others.

Unmanned ground vehicles (UGV) platform segment by platform accounted largest market share in the swarm robotics market due to its growing adoption. UGVs are suitable for a wide range of applications due to their adaptability and versatility in a variety of settings and terrains. Its adeptness in maneuvering over a variety of terrains, even challenging and dangerous ones, renders them invaluable resources in industries including agriculture, construction logistics and defense.

The growing product launches by the major key players help to boost segment growth over the forecast period. For instance, on May 24, 2021, Havelsan's unmanned ground vehicle (UGV), a Turkish defense company planned to launch a digital troop concept that plays a major role in robotics operations with an unmanned platform. The business must make sure it includes the swarm algorithms it has created into platforms made by different manufacturers to do this.

Geographical Penetration

North America is Dominating the Swarm Robotics Market

North America is equipped with research centers and technology infrastructure. Leading robotics companies, research centers and technological hubs can be found in the area, which fosters creativity, R&D endeavors and the development of swarm robotics technologies. Major regional players make large investments in R&D projects, which promote creativity and advances in robotics and automation technology.

Government funding, academic partnerships and private sector investments support the development of swarm robotics solutions, algorithms and applications across various industries. The growing technological advancements in the region help to boost regional market growth over the forecast period. For instance, on March 06, 2023, SwarmFarm, launched its SwarmBot technology in North America. An AUD 12 million Series A (US$ 8.3 million) has been raised by SwarmFarm Robotics. Emmertech, an agricultural technology fund from Conexus Venture Capital, a Canadian corporation, led the company's fundraising round. Access Capital and Tribe Global Ventures were added as well to the capital.

Competitive Landscape

The major global players in the market include Hydromea SA, Unboxrobotics Labs Private Limited, SwarmFarm Robotics, Rolls-Royce plc, Epson America, Inc., Berkeley Marine Robotics Inc., Swisslog Holding AG, FARobot, Inc., AGILOX Services GmbH and KION GROUP AG.

COVID-19 Impact Analysis

The globally pandemic has caused a rise in the use of robots in several businesses. Swarm robots are growing increasingly prevalent in a variety of industries, including manufacturing, transportation and healthcare, where little human interaction and social distance are needed. During the pandemic, swarm robots witnessed an upsurge in utilization in medical contexts. Robots have been employed for disinfection, patient monitoring and delivery of medical supplies and equipment. The epidemic brought to light the importance of robots solving problems in healthcare and enhancing patient care.

Swarm robotics technologies were leveraged to support remote workforce operations. Robotic systems assisted in tasks that required physical presence but were risky or impractical for humans during lockdowns or travel restrictions. Robots were employed in a remote facility and infrastructure monitoring, maintenance and inspection activities. Swarm robot systems have been used by warehouses, distribution centers and logistics networks to improve productivity, ease operations and reduce disruptions caused by labor shortages or logistical challenges.

Russia-Ukraine War Impact Analysis

Geopolitical problems affect the manufacturing and availability of technology and components required for the Swarm Robotics industry, as well as international supply chains. Disruptions in the supply chain create delays in the production and launch of new products. The market demand for Swarm Robotics solutions and investment decisions are impacted by consumers' and investors' cautious attitudes. International markets are impacted by swings in trade regulations and currency exchange rates, which are also caused by uncertainty.

Governments and industries involved in geopolitical conflicts may prioritize resources, funding and research efforts toward defense, security and strategic sectors rather than emerging technologies like Swarm Robotics. The reallocation of resources can impact innovation, R&D initiatives and public-private partnerships in the robotics and technology sectors. Geopolitical events can influence regional market dynamics and business environments. Regions directly affected by conflicts may experience disruptions in business operations, trade restrictions, regulatory changes and geopolitical risks that affect market participation, investments and market growth for Swarm Robotics and related technologies.

By Platform

Unmanned Ground Vehicles (UGV)
Unmanned Aerial Vehicles (UAV)
Others

By Application

Security, Inspection & Monitoring
Mapping & Surveying
Search, Rescue & Disaster Relief
Supply Chain & Warehouse Management
Others

By End-User

Military & Defense
Industrial
Agriculture
Healthcare
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

On January 04, 2024, H2 Clipper developed an advanced swarm robotics breakthrough for large-scale airship manufacturing. The company launched green Clipper airships that cruise typically at 150mph powered by hydrogen using fuel cells to create propulsion and using hydrogen as the lifting gas.
On August 24, 2022, FARobot, the strategic joint venture by ADLINK Technology Inc and Hon Hai Technology Group launched its swarm autonomy solution at the Automation Taipei exhibition which is the world's first robotic management platform with cross-brand integrability across IT, OT systems, IoT devices and factory equipment.
On November 30, 2022, Toshiba, launched world-first real-time control of a mobile robot swarm using local 5g and radio maps. To save per-robot costs and power consumption, the robot itself focuses on transportation operations while the functions related to its "brain" are centralized on the server side.

Why Purchase the Report?

To visualize the global swarm robotics market segmentation based on platform, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of swarm robotics market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global swarm robotics market report would provide approximately 62 tables, 56 figures and 206 Pages.

Target Audience 2024

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1.Methodology and Scope

1.1.Research Methodology
1.2.Research Objective and Scope of the Report

2.Definition and Overview

3.Executive Summary

3.1.Snippet by Platform
3.2.Snippet by Application
3.3.Snippet by End-User
3.4.Snippet by Region

4.Dynamics

4.1.Impacting Factors
- 4.1.1.Drivers
  - 4.1.1.1.Advancements in Robotics and AI
  - 4.1.1.2.Growing Adoption of the Swarn-Based Drones in Military
- 4.1.2.Restraints
  - 4.1.2.1.High Development Costs
- 4.1.3.Opportunity
- 4.1.4.Impact Analysis

5.Industry Analysis

5.1.Porter's Five Force Analysis
5.2.Supply Chain Analysis
5.3.Pricing Analysis
5.4.Regulatory Analysis
5.5.Russia-Ukraine War Impact Analysis
5.6.DMI Opinion

6.COVID-19 Analysis

6.1.Analysis of COVID-19
- 6.1.1.Scenario Before COVID
- 6.1.2.Scenario During COVID
- 6.1.3.Scenario Post COVID
6.2.Pricing Dynamics Amid COVID-19
6.3.Demand-Supply Spectrum
6.4.Government Initiatives Related to the Market During Pandemic
6.5.Manufacturers Strategic Initiatives
6.6.Conclusion

7.By Platform

7.1.Introduction
- 7.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 7.1.2.Market Attractiveness Index, By Platform
7.2.Unmanned Ground Vehicles (UGV)*
- 7.2.1.Introduction
- 7.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3.Unmanned Aerial Vehicles (UAV)
7.4.Others

8.By Application

8.1.Introduction
- 8.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 8.1.2.Market Attractiveness Index, By Application
8.2.Security, Inspection & Monitoring *
- 8.2.1.Introduction
- 8.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3.Mapping & Surveying
8.4.Search, Rescue & Disaster Relief
8.5.Supply Chain & Warehouse Management
8.6.Others

9.By End-User

9.1.Introduction
- 9.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.1.2.Market Attractiveness Index, By End-User
9.2.Military & Defense*
- 9.2.1.Introduction
- 9.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3.Industrial
9.4.Agriculture
9.5.Healthcare
9.6.Others

10.By Region

10.1.Introduction
- 10.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2.Market Attractiveness Index, By Region
10.2.North America
- 10.2.1.Introduction
- 10.2.2.Key Region-Specific Dynamics
- 10.2.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.2.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.2.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.2.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.6.1.U.S.
  - 10.2.6.2.Canada
  - 10.2.6.3.Mexico
10.3.Europe
- 10.3.1.Introduction
- 10.3.2.Key Region-Specific Dynamics
- 10.3.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.3.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.3.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.3.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.6.1.Germany
  - 10.3.6.2.UK
  - 10.3.6.3.France
  - 10.3.6.4.Italy
  - 10.3.6.5.Spain
  - 10.3.6.6.Rest of Europe
10.4.South America
- 10.4.1.Introduction
- 10.4.2.Key Region-Specific Dynamics
- 10.4.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.4.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.4.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.4.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.6.1.Brazil
  - 10.4.6.2.Argentina
  - 10.4.6.3.Rest of South America
10.5.Asia-Pacific
- 10.5.1.Introduction
- 10.5.2.Key Region-Specific Dynamics
- 10.5.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.5.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.5.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.5.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.6.1.China
  - 10.5.6.2.India
  - 10.5.6.3.Japan
  - 10.5.6.4.Australia
  - 10.5.6.5.Rest of Asia-Pacific
10.6.Middle East and Africa
- 10.6.1.Introduction
- 10.6.2.Key Region-Specific Dynamics
- 10.6.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.6.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.6.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

11.Competitive Landscape

11.1.Competitive Scenario
11.2.Market Positioning/Share Analysis
11.3.Mergers and Acquisitions Analysis

12.Company Profiles

12.1.Hydromea SA*
- 12.1.1.Company Overview
- 12.1.2.Product Portfolio and Description
- 12.1.3.Financial Overview
- 12.1.4.Key Developments
12.2.Unboxrobotics Labs Private Limited
12.3.SwarmFarm Robotics
12.4.Rolls-Royce plc
12.5.Epson America, Inc.
12.6.Berkeley Marine Robotics Inc.
12.7.Swisslog Holding AG
12.8.FARobot, Inc.
12.9.AGILOX Services GmbH
12.10.KION GROUP AG
12.11.