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市场调查报告书
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全球云端机器人市场规模研究（按组件、服务模式、机器人类型、垂直产业和区域预测）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个工作天内

价格
简介目录

2023 年，全球云端机器人市场规模约为50 亿美元，预计在2024 年至2032 年的预测期内，复合年增长率将达到23%。增强机器人的性能。透过将机器人连接到云端，它们可以存取大量的运算资源、储存和高级演算法，而由于处理能力和记忆体有限，这些演算法在单一机器人上无法实现。这种连接允许跨多个机器人进行即时资料处理、机器学习和集体学习。云端机器人技术使机器人能够将繁重的运算任务卸载到云端，共享知识和经验，并从更新和改进中受益，而无需更改硬体。这种指数级成长主要是由物联网 (IoT) 的广泛采用所推动的，物联网彻底改变了机器人无缝连接到云端的能力。高速互联网的日益普及和物联网设备的激增使机器人能够卸载运算密集型任务、存取大量资料并接收即时更新，从而增强其功能和多功能性。这种无缝连接有利于机器人的远端监控和控制，使它们更具适应性和效率，从而显着促进市场成长。

此外，人工智慧（AI）和机器学习（ML）的进步是云端机器人市场的关键成长动力。这些技术赋予机器人增强的认知能力，使它们能够更有效、更有效率地执行复杂的任务。在行业快速适应不断变化的市场条件和技术进步的需求的推动下，对可扩展和灵活解决方案的需求也在不断增长。远端监控变得越来越重要，特别是在医疗保健、製造和物流等领域，这些领域的营运效率和即时回应至关重要。然而，市场面临资料安全和隐私问题等挑战，这可能会阻碍广泛采用。连接和延迟问题，特别是在偏远或连接不良的区域，为即时机器人云端通讯带来了重大挑战。为了解决这些问题，正在探索边缘运算和边缘人工智慧作为减少延迟和增强连接性的可行替代方案，从而改善整体市场前景。 5G 网路的推出将透过提供超快、低延迟和可靠的无线连接来彻底改变云端机器人产业。这项发展将实现机器人与云端服务之间的即时通信，促进瞬间决策和精确控制，这对于远距医疗、自动驾驶汽车和远端工业自动化等行业尤其重要。 5G 的采用预计将释放新的可能性，并实现更复杂、更灵敏的机器人系统。

全球云端机器人市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲、中东和非洲。亚太地区（APAC）是云端机器人市场的领先地区。这种主导地位可以归因于几个因素。首先，该地区工业化速度快，先进技术采用率高，尤其是中国、日本、韩国等国家。这些国家正在大力投资机器人和云端基础设施，以增强製造和自动化流程。其次，亚太地区对工业 4.0 和智慧工厂计划的日益重视正在推动云端机器人技术的集成，以优化生产效率并降低营运成本。此外，预计北美将实现最快的成长，该地区领先的科技公司和新创公司的强大影响力，加上政府的支持和优惠政策，促进了云端机器人领域的创新和发展。此外，医疗保健、物流和农业等行业对自动化的需求不断增长，也有助于该地区在该市场的领导地位。这些综合因素使亚太地区成为全球云端机器人市场的领导者。

目录

第 1 章：全球云端机器人市场执行摘要

  • 全球云端机器人市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按组件
    • 按服务模式
    • 按机器人类型
    • 按行业垂直
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球云端机器人市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包含与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球云端机器人市场动态

  • 市场驱动因素
    • 人工智慧 (AI) 和机器学习 (ML) 的进步
    • 对可扩展且灵活的解决方案的需求不断增长
    • 加强远端监控
  • 市场挑战
    • 资料安全和隐私问题
    • 连线和延迟问题
  • 市场机会
    • 垂直产业的成长机会
    • 边缘运算与边缘AI的融合
    • 5G网路的采用

第 4 章：全球云端机器人市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的五力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：2022-2032 年全球云端机器人市场规模及按组成部分的预测

  • 细分仪表板
  • 全球云端机器人市场：2022 年和 2032 年组件收入趋势分析
    • 解决方案
    • 服务

第 6 章：2022-2032 年全球云端机器人市场规模及服务模式预测

  • 细分仪表板
  • 全球云端机器人市场：2022 年和 2032 年服务模式收入趋势分析
    • 基础设施即服务
    • 平台即服务
    • 软体即服务

第 7 章：2022-2032 年全球云端机器人市场规模及机器人类型预测

  • 细分仪表板
  • 全球云端机器人市场：2022 年和 2032 年机器人类型收入趋势分析
    • 工业机器人
    • 服务机器人

第 8 章：2022-2032 年全球云端机器人市场规模及垂直产业预测

  • 细分仪表板
  • 全球云端机器人市场：2022 年和 2032 年产业垂直收入趋势分析
    • 製造业
    • 军事与国防
    • 零售及电子商务
    • 卫生保健
    • 其他的

第 9 章：2022-2032 年全球云端机器人市场规模及区域预测

  • 北美云机器人市场
    • 美国云端机器人市场
      • 2022-2032 年组件细分尺寸与预测
      • 2022-2032 年服务模式细分规模与预测
      • 机器人类型细分规模与预测，2022-2032
      • 2022-2032 年产业垂直细分规模与预测
    • 加拿大云端机器人市场
  • 欧洲云端机器人市场
    • 英国云端机器人市场
    • 德国云端机器人市场
    • 法国云端机器人市场
    • 西班牙云端机器人市场
    • 义大利云机器人市场
    • 欧洲其他地区云端机器人市场
  • 亚太云机器人市场
    • 中国云机器人市场
    • 印度云端机器人市场
    • 日本云机器人市场
    • 澳洲云端机器人市场
    • 韩国云机器人市场
    • 亚太地区其他云端机器人市场
  • 拉丁美洲云端机器人市场
    • 巴西云机器人市场
    • 墨西哥云端机器人市场
    • 拉丁美洲其他地区云端机器人市场
  • 中东和非洲云端机器人市场
    • 沙乌地阿拉伯云端机器人市场
    • 南非云机器人市场
    • 中东和非洲其他地区云端机器人市场

第 10 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • 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：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

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