查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1520694

全球雲端機器人市場規模研究（按組件、服務模式、機器人類型、垂直產業和區域預測）2022-2032

Global Cloud Robotics Market Size Study, by Component, by Service Model, by Robot Type, by Industry Vertical, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2023 年，全球雲端機器人市場規模約為50 億美元，預計在2024 年至2032 年的預測期內，複合年成長率將達到23%。增強機器人的性能。透過將機器人連接到雲端，它們可以存取大量的運算資源、儲存和高級演算法，而由於處理能力和記憶體有限，這些演算法在單一機器人上無法實現。這種連接允許跨多個機器人進行即時資料處理、機器學習和集體學習。雲端機器人技術使機器人能夠將繁重的運算任務卸載到雲端，共享知識和經驗，並從更新和改進中受益，而無需更改硬體。這種指數級成長主要是由物聯網 (IoT) 的廣泛採用所推動的，物聯網徹底改變了機器人無縫連接到雲端的能力。高速網際網路的日益普及和物聯網設備的激增使機器人能夠卸載運算密集型任務、存取大量資料並接收即時更新，從而增強其功能和多功能性。這種無縫連接有利於機器人的遠端監控和控制，使它們更具適應性和效率，從而顯著促進市場成長。

此外，人工智慧（AI）和機器學習（ML）的進步是雲端機器人市場的關鍵成長動力。這些技術賦予機器人增強的認知能力，使它們能夠更有效、更有效率地執行複雜的任務。在行業快速適應不斷變化的市場條件和技術進步的需求的推動下，對可擴展和靈活解決方案的需求也在不斷成長。遠端監控變得越來越重要，特別是在醫療保健、製造和物流等領域，這些領域的營運效率和即時回應至關重要。然而，市場面臨資料安全和隱私問題等挑戰，這可能會阻礙廣泛採用。連接和延遲問題，特別是在偏遠或連接不良的區域，為即時機器人雲端通訊帶來了重大挑戰。為了解決這些問題，正在探索邊緣運算和邊緣人工智慧作為減少延遲和增強連接性的可行替代方案，從而改善整體市場前景。 5G 網路的推出將透過提供超快、低延遲和可靠的無線連接來徹底改變雲端機器人產業。這項發展將實現機器人與雲端服務之間的即時通訊，促進瞬間決策和精確控制，這對於遠距醫療、自動駕駛汽車和遠端工業自動化等行業尤其重要。 5G 的採用預計將釋放新的可能性，並實現更複雜、更靈敏的機器人系統。

全球雲端機器人市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲、中東和非洲。亞太地區（APAC）是雲端機器人市場的領先地區。這種主導地位可以歸因於幾個因素。首先，該地區工業化速度快，先進技術採用率高，尤其是中國、日本、韓國等國家。這些國家正在大力投資機器人和雲端基礎設施，以增強製造和自動化流程。其次，亞太地區對工業 4.0 和智慧工廠計劃的日益重視正在推動雲端機器人技術的整合，以最佳化生產效率並降低營運成本。此外，預計北美將實現最快的成長，該地區領先的科技公司和新創公司的強大影響力，加上政府的支持和優惠政策，促進了雲端機器人領域的創新和發展。此外，醫療保健、物流和農業等行業對自動化的需求不斷成長，也有助於該地區在該市場的領導地位。這些綜合因素使亞太地區成為全球雲端機器人市場的領導者。

目錄

第 1 章：全球雲端機器人市場執行摘要

  • 全球雲端機器人市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按組件
    • 按服務模式
    • 按機器人類型
    • 按行業垂直
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球雲端機器人市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包含與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球雲端機器人市場動態

  • 市場促進因素
    • 人工智慧 (AI) 和機器學習 (ML) 的進步
    • 對可擴展且靈活的解決方案的需求不斷成長
    • 加強遠端監控
  • 市場挑戰
    • 資料安全和隱私問題
    • 連線和延遲問題
  • 市場機會
    • 垂直產業的成長機會
    • 邊緣運算與邊緣AI的融合
    • 5G網路的採用

第 4 章：全球雲端機器人市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的五力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：2022-2032 年全球雲端機器人市場規模及按組成部分的預測

  • 細分儀表板
  • 全球雲端機器人市場：2022 年和 2032 年組件收入趨勢分析
    • 解決方案
    • 服務

第 6 章：2022-2032 年全球雲端機器人市場規模及服務模式預測

  • 細分儀表板
  • 全球雲端機器人市場：2022 年和 2032 年服務模式收入趨勢分析
    • 基礎設施即服務
    • 平台即服務
    • 軟體即服務

第 7 章：2022-2032 年全球雲端機器人市場規模及機器人類型預測

  • 細分儀表板
  • 全球雲端機器人市場：2022 年和 2032 年機器人類型收入趨勢分析
    • 工業機器人
    • 服務機器人

第 8 章：2022-2032 年全球雲端機器人市場規模及垂直產業預測

  • 細分儀表板
  • 全球雲端機器人市場：2022 年和 2032 年產業垂直收入趨勢分析
    • 製造業
    • 軍事與國防
    • 零售及電子商務
    • 衛生保健
    • 其他

第 9 章：2022-2032 年全球雲端機器人市場規模及區域預測

  • 北美雲機器人市場
    • 美國雲端機器人市場
      • 2022-2032 年組件細分尺寸與預測
      • 2022-2032 年服務模式細分規模與預測
      • 機器人類型細分規模與預測，2022-2032
      • 2022-2032 年產業垂直細分規模與預測
    • 加拿大雲端機器人市場
  • 歐洲雲端機器人市場
    • 英國雲端機器人市場
    • 德國雲端機器人市場
    • 法國雲端機器人市場
    • 西班牙雲端機器人市場
    • 義大利雲機器人市場
    • 歐洲其他地區雲端機器人市場
  • 亞太雲機器人市場
    • 中國雲機器人市場
    • 印度雲端機器人市場
    • 日本雲機器人市場
    • 澳洲雲端機器人市場
    • 韓國雲機器人市場
    • 亞太地區其他雲端機器人市場
  • 拉丁美洲雲端機器人市場
    • 巴西雲機器人市場
    • 墨西哥雲端機器人市場
    • 拉丁美洲其他地區雲端機器人市場
  • 中東和非洲雲端機器人市場
    • 沙烏地阿拉伯雲端機器人市場
    • 南非雲機器人市場
    • 中東和非洲其他地區雲端機器人市場

第 10 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • AWS
    • Microsoft Corporation
    • IBM Corporation
    • Google Inc
    • Rockwell Automation Inc.
    • Huawei
    • ABB
    • Intel Corporation
    • Siemens AG
    • KUKA AG
    • FANUC Corporation
    • SoftBank Robotics
    • NVIDIA Corporation
    • Bosch Rexroth AG
    • Yaskawa Electric Corporation

第 11 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

The Global Cloud Robotics Market size was valued at approximately USD 5 billion in 2023 and is projected to register an impressive CAGR of 23% over the forecast period from 2024 to 2032. Cloud robotics is an emerging field in robotics that leverages cloud computing to enhance robotic capabilities. By connecting robots to the cloud, they can access vast computational resources, storage, and advanced algorithms that are not feasible to implement on individual robots due to their limited processing power and memory. This connection allows for real-time data processing, machine learning, and collective learning across multiple robots. Cloud robotics enables robots to offload heavy computational tasks to the cloud, share knowledge and experiences, and benefit from updates and improvements without requiring hardware changes. This exponential growth is driven primarily by the widespread adoption of the Internet of Things (IoT), which has revolutionized the ability of robots to connect to the cloud seamlessly. The increasing ubiquity of high-speed internet and proliferation of IoT devices have enabled robots to offload computationally intensive tasks, access vast amounts of data, and receive real-time updates, thereby enhancing their capabilities and versatility. This seamless connectivity facilitates remote monitoring and control of robots, making them more adaptable and efficient, which significantly boosts market growth.

Additionally, advancements in Artificial Intelligence (AI) and Machine Learning (ML) are pivotal growth drivers for the cloud robotics market. These technologies empower robots with enhanced cognitive abilities, enabling them to perform complex tasks more effectively and efficiently. The demand for scalable and flexible solutions is also rising, driven by industries' needs to adapt quickly to changing market conditions and technological advancements. Remote monitoring and control have become increasingly crucial, particularly in sectors like healthcare, manufacturing, and logistics, where operational efficiency and real-time response are paramount. However, the market faces challenges such as data security and privacy concerns, which can hinder widespread adoption. Connectivity and latency issues, especially in remote or poorly connected areas, pose significant challenges for real-time robot-cloud communication. To address these issues, edge computing and edge AI are being explored as viable alternatives to reduce latency and enhance connectivity, thereby improving the overall market outlook. The rollout of 5G networks is set to revolutionize the cloud robotics industry by providing ultra-fast, low-latency, and reliable wireless connectivity. This development will enable real-time communication between robots and cloud services, facilitating split-second decision-making and precise control, which is particularly crucial in industries such as telemedicine, autonomous vehicles, and remote industrial automation. The adoption of 5G is expected to unlock new possibilities and enable more complex and responsive robotic systems.

The key regions considered for the global Cloud Robotics Market study include Asia Pacific, North America, Europe, Latin America, and Middle East and Africa. The Asia-Pacific (APAC) region is the leading region in the Cloud Robotics Market. This dominance can be attributed to several factors. Firstly, the region boasts rapid industrialization and a high adoption rate of advanced technologies, particularly in countries like China, Japan, and South Korea. These nations are investing heavily in robotics and cloud infrastructure to enhance manufacturing and automation processes. Secondly, the growing emphasis on Industry 4.0 and smart factory initiatives in APAC is driving the integration of cloud robotics to optimize production efficiency and reduce operational costs. Additionally, North America is projected to register fastest growth the region's strong presence of leading tech companies and startups, coupled with government support and favorable policies, has fostered innovation and development in the cloud robotics space. Furthermore, the increasing demand for automation in sectors such as healthcare, logistics, and agriculture also contributes to the region's leadership in this market. These combined factors make Asia-Pacific the frontrunner in the global Cloud Robotics Market.

Major market players included in this report are:

  • AWS
  • Microsoft Corporation
  • IBM Corporation
  • Google Inc
  • Rockwell Automation Inc.
  • Huawei
  • ABB
  • Intel Corporation
  • Siemens AG
  • KUKA AG
  • FANUC Corporation
  • SoftBank Robotics
  • NVIDIA Corporation
  • Bosch Rexroth AG
  • Yaskawa Electric Corporation

The detailed segments and sub-segment of the market are explained below:

By Component:

  • Solution
  • Services

By Service Model:

  • IaaS
  • PaaS
  • SaaS

By Robot Type:

  • Industrial Robot
  • Service Robot

By Industry Vertical:

  • Manufacturing
  • Military and Defense
  • Retail and E-commerce
  • Healthcare
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Cloud Robotics Market Executive Summary

  • 1.1. Global Cloud Robotics Market Size & Forecast (2022- 2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Service Model
    • 1.3.3. By Robot Type
    • 1.3.4. By Industry Vertical
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Cloud Robotics Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Cloud Robotics Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Advancements in Artificial Intelligence (AI) and Machine Learning (ML)
    • 3.1.2. Growing demand for scalable and flexible solutions
    • 3.1.3. Increasing Remote Monitoring and Control
  • 3.2. Market Challenges
    • 3.2.1. Data Security and Privacy Concerns
    • 3.2.2. Connectivity and Latency Issues
  • 3.3. Market Opportunities
    • 3.3.1. Growth opportunities in Industry Verticals
    • 3.3.2. Integration of edge computing and edge AI
    • 3.3.3. Adoption of 5G Networks

Chapter 4. Global Cloud Robotics Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Cloud Robotics Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Cloud Robotics Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Solution
    • 5.2.2. Services

Chapter 6. Global Cloud Robotics Market Size & Forecasts by Service Model 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Cloud Robotics Market: Service Model Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. IaaS
    • 6.2.2. PaaS
    • 6.2.3. SaaS

Chapter 7. Global Cloud Robotics Market Size & Forecasts by Robot Type 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Cloud Robotics Market: Robot Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Industrial Robot
    • 7.2.2. Service Robot

Chapter 8. Global Cloud Robotics Market Size & Forecasts by Industry Vertical 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Cloud Robotics Market: Industry Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. Manufacturing
    • 8.2.2. Military and Defense
    • 8.2.3. Retail and E-commerce
    • 8.2.4. Healthcare
    • 8.2.5. Others

Chapter 9. Global Cloud Robotics Market Size & Forecasts by Region 2022-2032

  • 9.1. North America Cloud Robotics Market
    • 9.1.1. U.S. Cloud Robotics Market
      • 9.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.1.1.2. Service Model breakdown size & forecasts, 2022-2032
      • 9.1.1.3. Robot Type breakdown size & forecasts, 2022-2032
      • 9.1.1.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.1.2. Canada Cloud Robotics Market
  • 9.2. Europe Cloud Robotics Market
    • 9.2.1. U.K. Cloud Robotics Market
    • 9.2.2. Germany Cloud Robotics Market
    • 9.2.3. France Cloud Robotics Market
    • 9.2.4. Spain Cloud Robotics Market
    • 9.2.5. Italy Cloud Robotics Market
    • 9.2.6. Rest of Europe Cloud Robotics Market
  • 9.3. Asia-Pacific Cloud Robotics Market
    • 9.3.1. China Cloud Robotics Market
    • 9.3.2. India Cloud Robotics Market
    • 9.3.3. Japan Cloud Robotics Market
    • 9.3.4. Australia Cloud Robotics Market
    • 9.3.5. South Korea Cloud Robotics Market
    • 9.3.6. Rest of Asia Pacific Cloud Robotics Market
  • 9.4. Latin America Cloud Robotics Market
    • 9.4.1. Brazil Cloud Robotics Market
    • 9.4.2. Mexico Cloud Robotics Market
    • 9.4.3. Rest of Latin America Cloud Robotics Market
  • 9.5. Middle East & Africa Cloud Robotics Market
    • 9.5.1. Saudi Arabia Cloud Robotics Market
    • 9.5.2. South Africa Cloud Robotics Market
    • 9.5.3. Rest of Middle East & Africa Cloud Robotics Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. AWS
    • 10.3.2. Microsoft Corporation
    • 10.3.3. IBM Corporation
    • 10.3.4. Google Inc
    • 10.3.5. Rockwell Automation Inc.
    • 10.3.6. Huawei
    • 10.3.7. ABB
    • 10.3.8. Intel Corporation
    • 10.3.9. Siemens AG
    • 10.3.10. KUKA AG
    • 10.3.11. FANUC Corporation
    • 10.3.12. SoftBank Robotics
    • 10.3.13. NVIDIA Corporation
    • 10.3.14. Bosch Rexroth AG
    • 10.3.15. Yaskawa Electric Corporation

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes