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スワームロボット（群ロボット）の世界市場-2024-2031年

Global Swarm Robotics Market - 2024-2031

出版日
ページ情報
英文 208 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=145.71円
スワームロボット（群ロボット）の世界市場-2024-2031年
出版日: 2024年04月03日
発行: DataM Intelligence
ページ情報: 英文 208 Pages
納期: 即日から翌営業日
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概要

概要

世界のスワームロボット（群ロボット）市場は2023年に8億米ドルに達し、2031年には69億米ドルに達すると予測され、予測期間2024-2031年のCAGRは31.1%で成長します。

スワームロボットの技術革新は、センサー、AI、ロボット技術の継続的な進歩によって推進されています。スワームロボットシステムが自律的なナビゲーション、協調的な意思決定、リアルタイムのデータ処理などの高度な機能を備えることで、より優れた機能を発揮し、用途が拡大します。スワームロボット導入の原動力となっているのは、各分野における自動化ソリューションへの需要の高まりです。スワームロボットは、製造、出荷、倉庫自動化、検査、メンテナンス、監視などの分野で、費用対効果、生産性、業務効率を高めるために企業によって利用されています。

主要プレーヤーによる技術革新の進展は、予測期間中の市場成長を後押しします。例えば、2022年6月14日、BLR Mk 2無人化技術が発表され、このシステムがテルアビブに本拠を置くBL Advanced Ground Support Systems Ltd.によって生産された無人地上車両（UGV）であることが確認されました。国防省の戦車・APC総局が30mm自律砲塔を製作しました。業界関係者は、自律型キットは射程距離を認識・計算し、目標に優先順位をつけ、交戦で使用する兵器を選択すると主張しています。

北米は、ホテル業界でスワームロボットの採用が拡大しているため、市場を独占している地域です。例えば、2023年2月3日、革新的なロボット工学のリーディングプロバイダーであるTAILOS社は、TAILOS Swarmを発表しました。この最先端技術により、複数のロボットが独立して機能し、広大なエリアを短時間で清掃し、汚れた表面のディープクリーニングにおいて、これまでにないレベルの効率性を提供します。より多くの米国ホテルがTAILOS Swarmを利用するようになり、その清潔さの水準はかつてない高さまで上昇しています。

ダイナミクス

ロボット工学とAIの進歩

スワームロボットは、ロボット工学と人工知能の進歩により、複雑でダイナミックな状況にも対応できるようになりました。ロボットは、経路計画、障害物回避、ローカライゼーション、マッピングのアルゴリズムの向上により、より効果的かつ安全に動作します。これにより、ロボットは倉庫、屋外、災害地域、産業施設など、さまざまな状況で活動を実行できるようになります。AIを活用したスワームロボットシステムは、ロボットの協調的な意思決定を可能にします。

機械学習、強化学習、分散知能に基づく群アルゴリズムにより、ロボットは情報を共有し、行動を調整し、タスクを割り当て、変化する状況にリアルタイムで適応することができます。協調的アプローチにより、タスクの効率、リソースの利用率、システム全体のパフォーマンスが向上します。人工知能は軍事的な意思決定において重要な要素です。大規模なデータ分析は機械学習アルゴリズムによって実行され、リーダーが即座に意思決定できるよう支援します。AIを活用したシミュレーションも、軍人の訓練シナリオに付加価値を与えています。

軍におけるスワームベースのドローンの採用拡大

スワームベースのドローンは、軍事用途での運用効率を高める。偵察、監視、目標探知、情報収集などの連携ミッションを、個々のドローンよりも効率的に実行できます。より広いエリアをカバーし、リアルタイムで協力し、ダイナミックな状況に適応する群ドローンの能力は、軍事力のミッション成功率と作戦成果を向上させる。スワームドローンは拡張性と柔軟性に富んでおり、軍事部隊はミッションの要件に応じてスワームロボットのサイズを変えて展開することができます。この拡張性により、迅速な対応、任務のカスタマイズ、適応戦略が可能になり、捜索救助任務、周辺警備、戦場監視、状況認識など、多様な作戦シナリオに対応できます。

インド軍もスワームロボットを作戦に採用しています。例えば、2022年8月26日、スワームドローンがインド陸軍の機械化部隊に投入されました。インド陸軍は、人工知能を使って目標を探知する高度なソフトウェアを搭載したスワームドローンシステムを、機械化兵に統合しています。スワームドローンは、1つのステーションから管理されるドローンのグループであり、アルゴリズムを用いて監視を含むさまざまな活動を行うようにプログラムされています。

高い開発コスト

スワームロボットシステムの開発には、研究開発に多額の投資が必要です。これには、群れアルゴリズムの作成、シミュレーション環境と実際の環境の両方のテスト、ロボットの作成と試作、ソフトウェア・インターフェースの改善、ハードウェア・コンポーネントの最大化などが含まれます。研究開発にかかる高いコストは、有能なエンジニア、技術者、研究者の採用や、特殊なハードウェアやソフトウェアの購入にかかる出費の結果です。スワームロボットシステムが要求される性能、スケーラビリティ、信頼性を達成するためには、何度も繰り返しが必要になることが多いです。繰り返しのたびに、コンポーネントの再設計、試験と検証の実施、技術的課題への対処、試験からのフィードバックの取り込みに関するコストが発生します。

スワームロボットロボットには、スワームロボットオペレーションに合わせた特別なハードウェア、センサー、アクチュエーター、通信モジュール、電源システムが必要です。これらのコンポーネントは、群通信プロトコル、定位精度、障害物検知、協働動作などの高度な機能を備えているため、従来のロボット工学で使用されるものより高価になることが多いです。これらのコンポーネントの調達と統合は、開発コストに拍車をかける。スワームロボット工学のアルゴリズムや動作を検証するには、仮想シミュレーション、制御環境、実地試験など、さまざまな環境でのシミュレーションとテストが必要です。現実的なシミュレーションモデルの作成、テストインフラの設置、実験の実施、データの収集、結果の分析には、財源と運営費がかかり、全体的な開発コストに寄与します。

目次

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • ロボット工学とAIの進歩
      • 軍事分野におけるスワームベースのドローンの採用拡大
    • 抑制要因
      • 高い開発コスト
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 プラットフォーム別

  • UGV
  • UAV
  • その他

第8章 アプリケーション別

  • 警備・点検・監視
  • 地図作成・測量
  • 捜索・救助・災害救助
  • サプライチェーン・倉庫管理
  • その他

第9章 エンドユーザー別

  • 軍事・防衛
  • 工業
  • 農業
  • ヘルスケア
  • その他

第10章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第12章 企業プロファイル

  • Hydromea SA
    • 会社概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な発展
  • Unboxrobotics Labs Private Limited
  • SwarmFarm Robotics
  • Rolls-Royce plc
  • Epson America, Inc.
  • Berkeley Marine Robotics Inc.
  • Swisslog Holding AG
  • FARobot, Inc.
  • AGILOX Services GmbH
  • KION GROUP AG

第13章 付録

目次
Product Code: ICT8306

Overview

Global Swarm Robotics Market reached US$ 0.8 Billion in 2023 and is expected to reach US$ 6.9 Billion by 2031, growing with a CAGR of 31.1% during the forecast period 2024-2031.

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

Table of Contents

Table of Contents

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.

LIST NOT EXHAUSTIVE

13.Appendix

  • 13.1.About Us and Services
  • 13.2.Contact Us