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市場調查報告書
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1914672

雲端機器人市場 - 全球產業規模、佔有率、趨勢、機會及預測（按組件、服務模式、類型、機器人類型、組織規模、最終用戶、地區和競爭格局分類），2021-2031年

Cloud Robotics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast By Component, By Service Model, By Type, By Robot Type, By Organization Size, By End User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球雲端機器人市場預計將從2025年的107.3億美元成長到2031年的430.4億美元，複合年成長率（CAGR）達26.05%。該領域將機器人基礎設施與雲端運算相結合，有效地將儲存和處理職責轉移到遠端集中式伺服器。採用這種架構使企業能夠部署經濟高效的單元，利用共用運算資源來處理諸如車隊協調和地圖繪製等複雜任務。推動這一成長的關鍵因素包括供應鏈自動化的迫切需求以及5G網路的廣泛部署，後者能夠實現高速資料交換。此外，機器人即服務（RaaS）模式固有的擴充性使企業能夠在降低初始資本支出的同時，最大限度地提高營運適應性。

市場概覽
預測期 2027-2031
市場規模：2025年 107.3億美元
市場規模：2031年 430.4億美元
複合年成長率：2026-2031年 26.05%
成長最快的細分市場 基於同伴的
最大的市場 北美洲

然而，依賴持續的資料傳輸會對網路穩定性和延遲構成重大風險，因為任何中斷都可能威脅到安全所需的即時控制。在風險較高的工業環境中，維持穩定的連接對於避免營運中斷至關重要。儘管有這些挑戰，自動化硬體的資本投資仍然強勁。美國自動化協會（Association for Advancing Automation）報告稱，光是2025年上半年，北美公司就訂購了17,635台機器人。這種持續的投資凸顯了蓬勃發展的工業基礎，該基礎已準備好利用由雲端技術支援的先進最佳化服務。

市場促進因素

高速 5G 網路和低延遲連接標準的部署正成為市場成長的關鍵引擎，克服了先前限制即時雲端管理的資料傳輸延遲問題。可靠的專用無線網路使機器人能夠將繁重的運算工作負載卸載到雲端，同時保持對精度和安全性至關重要的即時回應能力。這種轉變降低了機載硬體成本，並有助於在複雜的工業環境中無縫擴展機器人集群，從而使自動化在更廣泛的應用領域中更具經濟可行性。這些直接效益體現在採用率指標上：諾基亞於 2024 年 6 月發布的《2024 年工業數位化報告》顯示，78% 的早期採用專用無線網路的工業企業在六個月內實現了正投資收益(ROI)。

同時，人工智慧 (AI) 和機器學習 (ML) 的融合正推動雲端機器人技術從基礎自動化任務轉向智慧自適應操作。雲端 AI 讓機器人能夠從網路共用的大量資料集中學習，從而以獨立單元無法企及的速度提升物體辨識和導航能力。這種集體學習能力正吸引著許多尋求生產現代化的製造商的濃厚興趣。正如羅克韋爾自動化公司在 2024 年 3 月發布的第九份年度《智慧製造現況報告》所指出的，95% 的製造商已經投資或計劃投資 AI 和機器學習技術，以提高營運效率。硬體基礎的不斷擴大進一步推動了這一發展勢頭。國際機器人聯合會 (IFR) 於 2024 年 9 月發布的報告顯示，到 2023 年，全球運作中機器人數量將達到約 430 萬台，為這些先進的雲端解決方案提供了廣闊的平台。

市場挑戰

持續資料傳輸的需求是限制全球雲端機器人市場成長的主要障礙。這些系統將計算處理任務卸載到遠端伺服器，需要不間斷的連線才能有效運作。網路不穩定和延遲會擾亂任務執行和導航所需的即時通訊迴路，可能導致生產停機和安全事故。在精度至關重要的工業環境中，即使是輕微的訊號延遲也會降低機器人單元的可靠性，使其低於傳統的本地控制器。這種脆弱性會削弱買家的信心，並減緩整個製造業的採用速度。

運作風險導致許多組織在從本地處理遷移到雲端解決方案時猶豫不決。這種猶豫限制了無法保證完美網路穩定性的雲端服務供應商的潛在市場。目前硬體市場的龐大規模凸顯了這個問題的嚴重性。根據國際機器人聯合會 (IFR) 預測，到 2024 年，全球將有超過 420 萬台工業機器人運作中。除非連接性挑戰得到解決，否則這些不斷成長的基礎設施將與依賴雲端的系統結構嚴重不相容。

市場趨勢

人工智慧驅動的預測性維護和遠距離診斷的應用，正利用雲端連接將維護方式從被動維修轉變為預防性管理。這些系統透過在雲端持續處理遙測資料流，能夠偵測可能徵兆硬體故障的細微效能異常，從而最大限度地減少非計劃性停機時間，延長資產使用壽命。這種營運模式的轉變正迅速獲得工業領導者的青睞，他們希望透過智慧預測能力來最佳化自動化效率。根據Honeywell於2024年7月發布的《工業人工智慧洞察報告》，64%的受訪工業人工智慧領導者認為，提高生產力和效率是這些智慧應用的首要優勢，這顯示企業正大幅轉向預防性解決方案。

雲端連接協作機器人（cobot）的出現，正在推動靈活安全的自動化發展。這些機器人利用雲端資源進行遠端叢集管理和複雜任務處理。採用集中式控制架構的系統能夠快速重新配置和無縫更新，以滿足不斷變化的生產需求，而無需進行大規模的現場重新編程。這種柔軟性降低了需要多樣化人機互動的工廠採用協作機器人的門檻。雲端技術使這些機器人能夠共用學習數據並執行安全通訊協定。正如國際機器人聯合會（IFR）在2024年12月發布的關於協作機器人的立場文件中指出的那樣，到2023年，協作機器人將在全球所有工業機器人安裝市場中佔據10.5%的佔有率，這表明它們正日益融入現代生產環境。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球雲端機器人市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（軟體、服務）
    • 依服務模式（基礎設施即服務 (IaaS)、平台即服務 (PaaS)、軟體即服務(SaaS)）
    • 按類型（基於對等節點、基於代理、基於克隆）
    • 依機器人類型（工業機器人、服務機器人）
    • 依組織規模（大型公司、中小企業）
    • 按最終用戶（製造業、航太與國防、零售與電子商務、醫​​療保健與生命科學、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美雲端機器人市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲雲機器人市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太雲機器人市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲雲端機器人市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美雲機器人市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章：全球雲端機器人市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Google LLC
  • Microsoft Corporation
  • Amazon Robotics LLC
  • IBM Corporation
  • CloudMinds Technology Inc.
  • Rapyuta Robotics Co. Ltd.
  • Boston Dynamics, Inc.
  • Rockwell Automation, Inc.
  • Universal Robots A/S
  • YASKAWA Electric Corporation

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 3562

The Global Cloud Robotics Market is projected to expand from USD 10.73 Billion in 2025 to USD 43.04 Billion by 2031, achieving a CAGR of 26.05%. This sector involves merging robotic infrastructure with cloud computing, effectively transferring storage and processing responsibilities to remote, centralized servers. By adopting this architecture, organizations can deploy cost-effective units that leverage shared computational resources for intricate activities such as fleet coordination and mapping. Key factors propelling this growth include the urgent need for supply chain automation and the extensive deployment of 5G networks, which facilitate rapid data exchange. Furthermore, the scalability inherent in Robotics as a Service models allows businesses to reduce initial capital expenditure while maximizing operational adaptability.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 10.73 Billion
Market Size 2031USD 43.04 Billion
CAGR 2026-203126.05%
Fastest Growing SegmentPeer Based
Largest MarketNorth America

Conversely, the dependence on constant data transmission poses substantial risks regarding network stability and latency, as any interruption can jeopardize the instant control necessary for safety. Maintaining consistent connectivity is vital to avoid operational downtime in high-stakes industrial settings. Despite these obstacles, capital commitment to automation hardware remains strong. As reported by the Association for Advancing Automation, North American companies ordered 17,635 robots in the first half of 2025 alone. This sustained investment underscores a burgeoning industrial foundation prepared to leverage advanced optimization services powered by cloud technology.

Market Driver

The rollout of high-speed 5G networks and low-latency connectivity standards serves as a major growth engine for the market by overcoming data transmission delays that previously restricted real-time cloud management. Reliable private wireless networks enable robots to transfer intensive computational burdens to the cloud while maintaining the split-second responsiveness required for precision and safety. This transition lowers onboard hardware expenses and facilitates the seamless scaling of robotic fleets within complex industrial settings, making automation economically feasible for a wider array of uses. The immediate benefits are reflected in adoption metrics; according to Nokia's '2024 Industrial Digitalization Report' from June 2024, 78% of industrial enterprises that engaged in early private wireless adoption achieved a positive return on investment within six months.

Concurrently, the incorporation of Artificial Intelligence and Machine Learning is elevating cloud robotics from basic automated tasks to intelligent, adaptive operations. Cloud-hosted AI enables robots to learn from extensive datasets shared across the network, thereby refining object recognition and navigation more rapidly than isolated units could manage. This capability for collective learning is generating substantial interest among manufacturers aiming to modernize production. As stated in Rockwell Automation's '9th Annual State of Smart Manufacturing Report' from March 2024, 95% of manufacturers have either invested in or intend to invest in AI and machine learning to boost operations. This momentum is bolstered by a growing hardware base; the International Federation of Robotics reported in September 2024 that the global operational stock of industrial robots hit nearly 4.3 million units in 2023, offering a vast platform for these advanced cloud solutions.

Market Challenge

The necessity for continuous data transmission stands as a significant hurdle to the growth of the global cloud robotics market. Since these systems rely on transferring computational workloads to remote servers, they demand unbroken connectivity to operate effectively. Instability or network latency interrupts the immediate communication loop required for task execution and navigation, potentially leading to production stoppages or safety incidents. In industrial settings where exactness is crucial, even slight signal delays make robotic units less reliable than conventional on-premise controllers, a vulnerability that undermines buyer confidence and decelerates adoption rates across manufacturing industries.

The threat of operational downtime causes many organizations to pause before shifting from local processing to cloud-based solutions. This hesitation constrains the potential market for cloud service providers who are unable to ensure perfect network consistency. The magnitude of this issue is underscored by the immense size of the current hardware market; the International Federation of Robotics noted that in 2024, the global operational stock of industrial robots surpassed 4.2 million units. As long as connectivity challenges endure, a significant segment of this growing infrastructure remains effectively incompatible with cloud-dependent system architectures.

Market Trends

The adoption of AI-Driven Predictive Maintenance and Remote Diagnostics is leveraging cloud connectivity to evolve maintenance approaches from reactive repairs to proactive management. By continuously processing telemetry data streams within the cloud, these systems detect minute performance irregularities that signal impending hardware failures, thereby minimizing unplanned downtime and extending asset lifecycles. This operational evolution is quickly gaining favor among industrial leaders aiming to optimize automation efficiency through intelligent foresight. According to the Honeywell 'Industrial AI Insights' report from July 2024, 64% of surveyed industrial AI leaders identified productivity and efficiency gains as the most significant advantages of these intelligent applications, indicating a distinct shift toward proactive solutions.

The emergence of Cloud-Connected Collaborative Robots (Cobots) facilitates flexible and safer automation, with units utilizing cloud resources for remote fleet management and complex task processing. These systems utilize centralized control architectures that allow for rapid reconfiguration and seamless updates to meet changing production demands without the need for extensive on-site reprogramming. This flexibility lowers the entry barrier for facilities needing versatile human-robot interaction, as the cloud permits these units to collectively share learning data and enhance safety protocols. As noted in the International Federation of Robotics' updated position paper on collaborative robots from December 2024, these units secured a 10.5% market share of all industrial robots installed globally in 2023, illustrating their increasing integration into contemporary production environments.

Key Market Players

  • Google LLC
  • Microsoft Corporation
  • Amazon Robotics LLC
  • IBM Corporation
  • CloudMinds Technology Inc.
  • Rapyuta Robotics Co. Ltd.
  • Boston Dynamics, Inc.
  • Rockwell Automation, Inc.
  • Universal Robots A/S
  • YASKAWA Electric Corporation

Report Scope

In this report, the Global Cloud Robotics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Cloud Robotics Market, By Component

  • Software
  • Service

Cloud Robotics Market, By Service Model

  • Infrastructure-as-a-Service (IaaS)
  • Platform-as-a-Service (PaaS)
  • Software-as-a-Service (SaaS)

Cloud Robotics Market, By Type

  • Peer Based
  • Proxy Based
  • Clone Based

Cloud Robotics Market, By Robot Type

  • Industrial Robots
  • Service Robots

Cloud Robotics Market, By Organization Size

  • Large Enterprises
  • SMEs

Cloud Robotics Market, By End User

  • Manufacturing
  • Aerospace and Defense
  • Retail & E-commerce
  • Healthcare & Life Sciences
  • Other

Cloud Robotics Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Cloud Robotics Market.

Available Customizations:

Global Cloud Robotics Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Cloud Robotics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Software, Service)
    • 5.2.2. By Service Model (Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS))
    • 5.2.3. By Type (Peer Based, Proxy Based, Clone Based)
    • 5.2.4. By Robot Type (Industrial Robots, Service Robots)
    • 5.2.5. By Organization Size (Large Enterprises, SMEs)
    • 5.2.6. By End User (Manufacturing, Aerospace and Defense, Retail & E-commerce, Healthcare & Life Sciences, Other)
    • 5.2.7. By Region
    • 5.2.8. By Company (2025)
  • 5.3. Market Map

6. North America Cloud Robotics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Service Model
    • 6.2.3. By Type
    • 6.2.4. By Robot Type
    • 6.2.5. By Organization Size
    • 6.2.6. By End User
    • 6.2.7. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Cloud Robotics Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Service Model
        • 6.3.1.2.3. By Type
        • 6.3.1.2.4. By Robot Type
        • 6.3.1.2.5. By Organization Size
        • 6.3.1.2.6. By End User
    • 6.3.2. Canada Cloud Robotics Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Service Model
        • 6.3.2.2.3. By Type
        • 6.3.2.2.4. By Robot Type
        • 6.3.2.2.5. By Organization Size
        • 6.3.2.2.6. By End User
    • 6.3.3. Mexico Cloud Robotics Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Service Model
        • 6.3.3.2.3. By Type
        • 6.3.3.2.4. By Robot Type
        • 6.3.3.2.5. By Organization Size
        • 6.3.3.2.6. By End User

7. Europe Cloud Robotics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Service Model
    • 7.2.3. By Type
    • 7.2.4. By Robot Type
    • 7.2.5. By Organization Size
    • 7.2.6. By End User
    • 7.2.7. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Cloud Robotics Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Service Model
        • 7.3.1.2.3. By Type
        • 7.3.1.2.4. By Robot Type
        • 7.3.1.2.5. By Organization Size
        • 7.3.1.2.6. By End User
    • 7.3.2. France Cloud Robotics Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Service Model
        • 7.3.2.2.3. By Type
        • 7.3.2.2.4. By Robot Type
        • 7.3.2.2.5. By Organization Size
        • 7.3.2.2.6. By End User
    • 7.3.3. United Kingdom Cloud Robotics Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Service Model
        • 7.3.3.2.3. By Type
        • 7.3.3.2.4. By Robot Type
        • 7.3.3.2.5. By Organization Size
        • 7.3.3.2.6. By End User
    • 7.3.4. Italy Cloud Robotics Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Service Model
        • 7.3.4.2.3. By Type
        • 7.3.4.2.4. By Robot Type
        • 7.3.4.2.5. By Organization Size
        • 7.3.4.2.6. By End User
    • 7.3.5. Spain Cloud Robotics Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Service Model
        • 7.3.5.2.3. By Type
        • 7.3.5.2.4. By Robot Type
        • 7.3.5.2.5. By Organization Size
        • 7.3.5.2.6. By End User

8. Asia Pacific Cloud Robotics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Service Model
    • 8.2.3. By Type
    • 8.2.4. By Robot Type
    • 8.2.5. By Organization Size
    • 8.2.6. By End User
    • 8.2.7. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Cloud Robotics Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Service Model
        • 8.3.1.2.3. By Type
        • 8.3.1.2.4. By Robot Type
        • 8.3.1.2.5. By Organization Size
        • 8.3.1.2.6. By End User
    • 8.3.2. India Cloud Robotics Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Service Model
        • 8.3.2.2.3. By Type
        • 8.3.2.2.4. By Robot Type
        • 8.3.2.2.5. By Organization Size
        • 8.3.2.2.6. By End User
    • 8.3.3. Japan Cloud Robotics Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Service Model
        • 8.3.3.2.3. By Type
        • 8.3.3.2.4. By Robot Type
        • 8.3.3.2.5. By Organization Size
        • 8.3.3.2.6. By End User
    • 8.3.4. South Korea Cloud Robotics Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Service Model
        • 8.3.4.2.3. By Type
        • 8.3.4.2.4. By Robot Type
        • 8.3.4.2.5. By Organization Size
        • 8.3.4.2.6. By End User
    • 8.3.5. Australia Cloud Robotics Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Service Model
        • 8.3.5.2.3. By Type
        • 8.3.5.2.4. By Robot Type
        • 8.3.5.2.5. By Organization Size
        • 8.3.5.2.6. By End User

9. Middle East & Africa Cloud Robotics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Service Model
    • 9.2.3. By Type
    • 9.2.4. By Robot Type
    • 9.2.5. By Organization Size
    • 9.2.6. By End User
    • 9.2.7. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Cloud Robotics Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Service Model
        • 9.3.1.2.3. By Type
        • 9.3.1.2.4. By Robot Type
        • 9.3.1.2.5. By Organization Size
        • 9.3.1.2.6. By End User
    • 9.3.2. UAE Cloud Robotics Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Service Model
        • 9.3.2.2.3. By Type
        • 9.3.2.2.4. By Robot Type
        • 9.3.2.2.5. By Organization Size
        • 9.3.2.2.6. By End User
    • 9.3.3. South Africa Cloud Robotics Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Service Model
        • 9.3.3.2.3. By Type
        • 9.3.3.2.4. By Robot Type
        • 9.3.3.2.5. By Organization Size
        • 9.3.3.2.6. By End User

10. South America Cloud Robotics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Service Model
    • 10.2.3. By Type
    • 10.2.4. By Robot Type
    • 10.2.5. By Organization Size
    • 10.2.6. By End User
    • 10.2.7. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Cloud Robotics Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Service Model
        • 10.3.1.2.3. By Type
        • 10.3.1.2.4. By Robot Type
        • 10.3.1.2.5. By Organization Size
        • 10.3.1.2.6. By End User
    • 10.3.2. Colombia Cloud Robotics Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Service Model
        • 10.3.2.2.3. By Type
        • 10.3.2.2.4. By Robot Type
        • 10.3.2.2.5. By Organization Size
        • 10.3.2.2.6. By End User
    • 10.3.3. Argentina Cloud Robotics Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Service Model
        • 10.3.3.2.3. By Type
        • 10.3.3.2.4. By Robot Type
        • 10.3.3.2.5. By Organization Size
        • 10.3.3.2.6. By End User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Cloud Robotics Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Google LLC
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Microsoft Corporation
  • 15.3. Amazon Robotics LLC
  • 15.4. IBM Corporation
  • 15.5. CloudMinds Technology Inc.
  • 15.6. Rapyuta Robotics Co. Ltd.
  • 15.7. Boston Dynamics, Inc.
  • 15.8. Rockwell Automation, Inc.
  • 15.9. Universal Robots A/S
  • 15.10. YASKAWA Electric Corporation

16. Strategic Recommendations

17. About Us & Disclaimer