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市場調查報告書
商品編碼
1860059
雲端機器人:全球市場佔有率和排名、總銷售額和需求預測(2025-2031 年)Cloud Robotics - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
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全球雲端機器人市場預計在 2024 年達到 8.52 億美元,預計到 2031 年將達到 19.73 億美元,在預測期(2025-2031 年)內以 12.5% 的複合年成長率成長。
雲端機器人技術是機器人領域的新興分支,它基於雲端運算、雲端儲存和其他網際網路技術,充分利用整合基礎設施和共用服務的優勢。這使得機器人能夠利用現代資料中心提供的強大運算、儲存和通訊資源,同時降低維護和更新的成本以及對客製化中間件的依賴。
市場主要促進因素包括:
技術創新推動功能邊界的擴展
雲端機器人透過「雲端大腦+邊緣執行」架構實現了運算能力與成本之間的平衡。這得歸功於技術的突破。一方面,5G網路的廣泛應用和邊緣運算能力的提升,使得機器人能夠即時擷取資料並以低延遲做出決策。例如,遠端手術機器人借助雲端基礎人工智慧的輔助,實現了毫米的手術精確度。另一方面,多模態感知技術(例如3D視覺和觸覺感測器)與輕量級模型的融合,提高了機器人的環境適應能力。例如,工業檢測機器人能夠自主識別設備故障並產生維修方案。此外,大規模人工智慧模型與機器人控制系統的深度融合,正在推動機器人從「程式執行」到「認知自主」的演進。例如,服務機器人利用自然語言處理技術來理解使用者需求,並動態調整服務流程。
應用場景多樣化推動市場需求爆炸性成長
雲端機器人技術已從單一工業場景擴展到許多領域,形成了一個龐大的應用生態系統。在工業製造領域,對靈活生產的需求正在推動機器人集群的協同作業。例如,在汽車焊接工廠,雲端基礎的調度能夠為多台機器人進行動態路徑規劃,從而提高生產效率。在醫療領域,遠距手術和復健護理正變得至關重要。例如,整形外科手術機器人利用5G和雲端運算技術,實現遠端專家的即時指導。在緊急救援中,雲端機器人可以取代人類在危險環境中工作,利用自主導航和影像識別技術在地震廢墟中搜尋倖存者。此外,智慧升級正在拓展家庭服務和物流倉儲等領域的市場。例如,清潔機器人可以透過雲端更新清潔演算法,以適應每個家庭的需求。
政策支持和產業合作是發展的基礎。
在全球範圍內,智慧製造和機器人產業的戰略升級為雲端機器人技術帶來了政策利好。中國的「十四五」規劃將機器人產業列為重點發展領域,並透過補貼和試驗計畫加速技術應用。德國的「工業4.0」計畫推動製造業數位化,鼓勵企業採用具備雲端連接的智慧型設備。美國國家機器人舉措支持醫療、國防等關鍵領域核心雲機器人技術的研究與開發。同時,全產業鏈的協同創新正在降低雲端機器人技術的應用門檻:半導體公司推出低功耗人工智慧運算模組,通訊公司最佳化5G專網解決方案,軟體公司開發標準化雲端平台,共同建構「硬體、連接和演算法」的封閉生態系統。例如,當虹科技的超低延遲遠端控制系統利用多模態壓縮和全球通訊技術消除了偏遠地區的訊號盲區,促進了雲端機器人技術在電力巡檢等場景中的廣泛應用。
本報告旨在按地區/國家、類型和應用對全球雲端機器人市場進行全面分析,重點關注總收入、市場佔有率和主要企業的排名。
本報告以銷售收入為指標,對雲端機器人市場規模、估算和預測進行了呈現,以 2024 年為基準年,並包含了 2020 年至 2031 年的歷史數據和預測數據。報告運用定量和定性分析,幫助讀者制定雲端機器人業務/成長策略,評估競爭格局,分析自身在當前市場中的地位,並做出明智的商業決策。
市場區隔
公司
按類型分類的細分市場
應用領域
按地區
The global market for Cloud Robotics was estimated to be worth US$ 852 million in 2024 and is forecast to a readjusted size of US$ 1973 million by 2031 with a CAGR of 12.5% during the forecast period 2025-2031.
Cloud robotics is an emerging field of robotics rooted in cloud computing, cloud storage, and other Internet technologies centered around the benefits of converged infrastructure and shared services. It allows robots to benefit from the powerful computational, storage, and communications resources of modern data centers. In addition, it removes overheads for maintenance and updates, and reduces dependence on custom middleware.
The main market drivers include the following:
Technological innovation drives the expansion of functional boundaries
Cloud robots achieve a balance between computing power and cost through a "cloud brain + edge execution" architecture. This is driven by technological breakthroughs. On the one hand, the widespread adoption of 5G networks and the improvement of edge computing capabilities are enabling robots to collect real-time data and make low-latency decisions. For example, remote surgical robots achieve millimeter-level precision through cloud-based AI assistance. On the other hand, the integration of multimodal perception technologies (such as 3D vision and tactile sensors) with lightweight models empowers robots with enhanced environmental adaptability. For example, industrial inspection robots can autonomously identify equipment faults and generate repair plans. Furthermore, the deep integration of large AI models with robot control systems is driving the evolution from "programmed execution" to "cognitive autonomy." For example, service robots use natural language processing to understand user needs and dynamically adjust service processes.
Diversified application scenarios are driving explosive market demand
Cloud robots are expanding beyond single industrial scenarios into diverse fields, forming a large-scale application ecosystem. In industrial manufacturing, the demand for flexible production is driving the coordinated operation of robot swarms. For example, automotive welding workshops use cloud-based scheduling to enable dynamic path planning for multiple robots, improving production efficiency. In healthcare, remote surgery and rehabilitation care are becoming essential. For example, orthopedic surgical robots leverage 5G and cloud computing power to support real-time expert guidance across locations. In emergency rescue, cloud robots can replace humans in dangerous environments, such as locating survivors in earthquake debris through autonomous navigation and image recognition. Furthermore, intelligent upgrades in scenarios such as home services and logistics warehousing are further expanding the market. For example, sweeping robots can update their cleaning algorithms through the cloud to adapt to different household needs.
Policy Support and Industry Collaboration Build the Foundation for Development
Globally, strategic upgrades in intelligent manufacturing and the robotics industry are providing policy dividends for cloud robots. China's 14th Five-Year Plan explicitly lists robotics as a key development direction, accelerating the implementation of this technology through subsidies and pilot programs. Germany's Industry 4.0 initiative promotes the digitalization of manufacturing, requiring companies to deploy intelligent equipment with cloud-based collaboration capabilities. The US National Robotics Initiative focuses on key sectors such as healthcare and defense, supporting the research and development of core cloud robotics technologies. At the same time, collaborative innovation across the industry chain is lowering the barrier to entry for adoption: chip companies are launching low-power AI computing modules, communications companies are optimizing 5G private network solutions, and software companies are developing standardized cloud platforms, jointly building a closed "hardware-connectivity-algorithm" ecosystem. For example, Danghong Technology's ultra-low-latency remote control system, leveraging multimodal compression and global communication technologies, addresses signal blind spots in remote areas and promotes the widespread adoption of cloud robots in scenarios such as power inspections.
This report aims to provide a comprehensive presentation of the global market for Cloud Robotics, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Cloud Robotics by region & country, by Type, and by Application.
The Cloud Robotics market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Cloud Robotics.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Cloud Robotics company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Cloud Robotics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Cloud Robotics in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.