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クラウドロボティクス市場レポート：コンポーネント、コネクティビティ、展開モード、用途、地域別、2024～2032年

Cloud Robotics Market Report by Component, Connectivity, Deployment Mode, Application, and Region 2024-2032

出版日
発行
IMARC
ページ情報
英文 146 Pages
納期
2～3営業日
カスタマイズ可能
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=144.06円
クラウドロボティクス市場レポート：コンポーネント、コネクティビティ、展開モード、用途、地域別、2024～2032年
出版日: 2024年08月10日
発行: IMARC
ページ情報: 英文 146 Pages
納期: 2～3営業日
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  • 概要
  • 図表
  • 目次
概要

世界のクラウドロボティクス市場規模は2023年に71億米ドルに達しました。今後、IMARC Groupは、2024～2032年にかけて17.3%の成長率（CAGR）を示し、2032年までに308億米ドルに達すると予測しています。クラウドコンピューティングの大幅な進歩、スケーラビリティとコスト効率、ロボット機能の強化、自律走行車の台数増加、産業別用途などが、市場を推進する主要要因となっています。

クラウドロボティクスは、ロボット工学の力とクラウドコンピューティング・インフラストラクチャを組み合わせた最先端の技術コンセプトです。要するに、ロボットがクラウドにある膨大なコンピューティングリソースとデータストレージを利用することで、ロボットの能力を大幅に向上させることができます。このアプローチにより、ロボットは複雑なデータ分析や機械学習など、計算集約的なタスクをクラウド上のリモートサーバーにオフロードすることができます。その結果、ロボットはリアルタイムの情報にアクセスし、効率的に処理し、より多くの情報に基づいた意思決定を行うことができます。クラウドロボティクスは、遠隔監視、協働、既存システムへのロボットのシームレスな統合を促進することができるため、製造、医療、物流、自律走行車など、さまざまな業界において計り知れない可能性を秘めています。

クラウドロボティクスはスケーラビリティを提供するため、企業は多額の先行投資をすることなく、必要に応じてロボットフリートを適応させることができます。この費用対効果の高いアプローチは、特に中小企業にとって魅力的です。さらに、クラウドロボティクスは、リアルタイムのデータ分析、機械学習、膨大なデータセットへのアクセスといった高度な機能をロボットに記載しています。その結果、複雑なタスクを効率的にこなす、よりインテリジェントで適応力のあるロボットが誕生します。この他にも、クラウドロボティクスはインターネットの世界のリーチを活用し、地理的な境界を越えてロボット同士がつながり、協働することを可能にします。この相互接続により、ロボットの集合知と問題解決能力が強化されます。これに加えて、クラウドベースのプラットフォームは、ロボットシステムの遠隔監視、制御、メンテナンスを可能にします。これにより、全体的な効率を向上させながら、ダウンタイムと運用コストを削減することができます。これに伴い、製造、医療、農業、物流など、さまざまな業界がクラウドロボティクスを採用し、業務の合理化と生産性の向上を図っています。特定の用途向けにカスタマイズ型ソリューションが市場の成長を促進しています。さらに、自動運転車やドローンなどの自律走行車の開発は、リアルタイムのナビゲーション、データ処理、意思決定のためにクラウドロボティクスに大きく依存しています。さらに、クラウドコンピューティングインフラの継続的な進化と拡大は、クラウドロボティクスに必要なバックボーンを記載しています。ストレージ、処理能力、低遅延接続などのクラウド機能の向上により、ロボットはクラウドリソースにアクセスし、効果的に利用することができます。

クラウドロボティクス市場傾向/促進要因

クラウドコンピューティングの著しい進歩

クラウドプラットフォームは、ストレージ容量、処理能力、低遅延接続性の面で目覚ましい進化を遂げています。これらの進歩により、ロボットはクラウドリソースのポテンシャルを効果的にフル活用できるようになりました。高速インターネットとデータセンターが世界中で利用できるようになったことで、ロボットはシームレスにクラウドを利用し、計算負荷の高いタスクをオフロードできるようになりました。これには、複雑なデータ分析、機械学習、膨大なデータセットへのアクセスなどのタスクが含まれます。クラウドコンピューティングを活用することで、ロボットは意思決定能力を高め、より効率的にダイナミックな環境に適応することができます。その結果、企業はより高いインテリジェンスと俊敏性を備えたロボットを配備できるようになり、クラウドロボティクスソリューションの採用が促進されることで、業界全体のイノベーションが促進されます。

拡大性とコスト効率

従来のロボットの導入には、ハードウェアやインフラへの多額の先行投資が必要な場合が多いです。一方、クラウドロボティクスは、多額の設備投資をすることなく、ビジネスのニーズに応じてロボットの導入規模を増減できる柔軟性を備えています。クラウドサービスの従量課金モデルにより、企業はリソースを効率的に割り当て、コストを最小限に抑えることができます。特に中小企業は、高額な初期費用を負担することなく、大企業と同じクラウドリソースにアクセスできるため、この費用対効果の高いアプローチから利益を得ることができます。また、スケーラビリティによって、企業は市場の需要の変化や技術の進歩に容易に対応することができます。クラウドロボティクスのエコシステムが拡大すれば、企業はロボットを追加導入したり、要求の変化に応じて能力を調整したりできます。このような適応性がイノベーションを促進し、様々な業界でクラウドロボティクスが広く採用される原動力となり、最終的に全体的な業務効率を向上させる。

ロボット機能の強化

クラウドに接続することで、ロボットはリアルタイムのデータ分析、機械学習アルゴリズム、膨大なデータセットにアクセスできます。この機能強化により、ロボットはよりインテリジェントで適応性が高く、複雑なタスクを効率的に実行できるようになります。例えば医療では、ロボットがクラウドに保存された豊富な医療知識にアクセスし、診断や治療法の提案を支援することができます。製造業では、ロボットが複数のソースからのデータを継続的に分析することで、生産プロセスを最適化できます。さらに、クラウドロボティクスでは、ロボットのアルゴリズムをリモートで更新し、改善することができます。つまり、ロボットは継続的に進化し、AIやデータ分析の最新の進歩の恩恵を受けることができるため、常に技術の最先端を走り続けることができます。このような強化された機能により、インテリジェントなデータ駆動型オートメーションの力を活用しようとする業界全体で、クラウドロボティクスの採用が進んでいます。

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査の目的
  • ステークホルダー
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要業界動向

第5章 世界のクラウドロボティクス市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：コンポーネント別

  • ハードウェア
  • ソフトウェア
  • サービス

第7章 市場内訳：コネクティビティ別

  • 3G
  • Bluetooth
  • Wi-Fi
  • 4G
  • 5G
  • 無線周波数
  • 赤外線

第8章 市場内訳：展開モード別

  • パブリッククラウド
  • プライベートクラウド
  • ハイブリッドクラウド

第9章 市場内訳：用途別

  • 産業用クラウドロボティクス
  • サービスクラウドロボティクス
  • パーソナルサービスクラウドロボティクス

第10章 市場内訳：地域別

  • 北米
    • 米国
    • カナダ
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
    • インドネシア
    • その他
  • 欧州
    • ドイツ
    • フランス
    • 英国
    • イタリア
    • スペイン
    • ロシア
    • その他
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • その他
  • 中東・アフリカ
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第11章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第12章 バリューチェーン分析

第13章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第14章 価格分析

第15章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • ABB Group
    • Calvary Robotics
    • CloudMinds
    • FANUC Corporation
    • inVia Robotics Inc.
    • Kuka AG（Midea Group）
    • Ortelio Ltd
    • Rapyuta Robotics Co. Ltd.
    • Universal Robots A/S（Teradyne Inc.）
    • V3 Smart Technologies
    • Yaskawa Electric Corporation
図表

List of Figures

  • Figure 1: Global: Cloud Robotics Market: Major Drivers and Challenges
  • Figure 2: Global: Cloud Robotics Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Cloud Robotics Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Cloud Robotics Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Cloud Robotics Market: Breakup by Connectivity (in %), 2023
  • Figure 6: Global: Cloud Robotics Market: Breakup by Deployment Mode (in %), 2023
  • Figure 7: Global: Cloud Robotics Market: Breakup by Application (in %), 2023
  • Figure 8: Global: Cloud Robotics Market: Breakup by Region (in %), 2023
  • Figure 9: Global: Cloud Robotics (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Cloud Robotics (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Cloud Robotics (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Cloud Robotics (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Cloud Robotics (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Cloud Robotics (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Cloud Robotics (3G) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Cloud Robotics (3G) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Cloud Robotics (Bluetooth) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Cloud Robotics (Bluetooth) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Cloud Robotics (Wi-Fi) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Cloud Robotics (Wi-Fi) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Cloud Robotics (4G) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Cloud Robotics (4G) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Cloud Robotics (5G) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Cloud Robotics (5G) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Cloud Robotics (RF) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Cloud Robotics (RF) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Cloud Robotics (Infrared) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Cloud Robotics (Infrared) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Cloud Robotics (Public Cloud) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Cloud Robotics (Public Cloud) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Cloud Robotics (Private Cloud) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Cloud Robotics (Private Cloud) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Global: Cloud Robotics (Hybrid Cloud) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Global: Cloud Robotics (Hybrid Cloud) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: Global: Cloud Robotics (Industrial Cloud Robotics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: Global: Cloud Robotics (Industrial Cloud Robotics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Global: Cloud Robotics (Service Cloud Robotics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Global: Cloud Robotics (Service Cloud Robotics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Global: Cloud Robotics (Personal Service Cloud Robotics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Global: Cloud Robotics (Personal Service Cloud Robotics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: North America: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: North America: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: United States: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: United States: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Canada: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Canada: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: Asia-Pacific: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: Asia-Pacific: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: China: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: China: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: Japan: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: Japan: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: India: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: India: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: South Korea: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: South Korea: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Australia: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Australia: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: Indonesia: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: Indonesia: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: Others: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: Others: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: Europe: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: Europe: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Germany: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Germany: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: France: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: France: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: United Kingdom: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: United Kingdom: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Italy: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Italy: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: Spain: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: Spain: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: Russia: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: Russia: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: Others: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: Others: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Latin America: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Latin America: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Brazil: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 82: Brazil: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 83: Mexico: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 84: Mexico: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 85: Others: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 86: Others: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 87: Middle East and Africa: Cloud Robotics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 88: Middle East and Africa: Cloud Robotics Market: Breakup by Country (in %), 2023
  • Figure 89: Middle East and Africa: Cloud Robotics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 90: Global: Cloud Robotics Industry: SWOT Analysis
  • Figure 91: Global: Cloud Robotics Industry: Value Chain Analysis
  • Figure 92: Global: Cloud Robotics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Cloud Robotics Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Cloud Robotics Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Cloud Robotics Market Forecast: Breakup by Connectivity (in Million US$), 2024-2032
  • Table 4: Global: Cloud Robotics Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 5: Global: Cloud Robotics Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 6: Global: Cloud Robotics Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Cloud Robotics Market: Competitive Structure
  • Table 8: Global: Cloud Robotics Market: Key Players
目次
Product Code: SR112024A5980

The global cloud robotics market size reached US$ 7.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 30.8 Billion by 2032, exhibiting a growth rate (CAGR) of 17.3% during 2024-2032. The significant advancements in cloud computing, scalability and cost efficiency, enhanced robot capabilities, rising number of autonomous vehicles, and industry-specific applications are some of the major factors propelling the market.

Cloud robotics is a cutting-edge technological concept that combines the power of robotics with cloud computing infrastructure. In essence, it allows robots to tap into vast computing resources and data storage available in the cloud, significantly enhancing their capabilities. This approach enables robots to offload computationally intensive tasks, such as complex data analysis and machine learning, to remote servers in the cloud. Consequently, robots can access real-time information, process it efficiently, and make more informed decisions, all while benefiting from continuous updates and improvements in their algorithms. Cloud robotics holds immense potential across various industries, including manufacturing, healthcare, logistics, and autonomous vehicles, as it can facilitate remote monitoring, collaboration, and the seamless integration of robots into existing systems.

Cloud robotics offers scalability, allowing businesses to adapt their robotic fleets as needed without significant upfront investments. This cost-effective approach is particularly appealing to small and medium-sized enterprises. Additionally, cloud robotics empowers robots with advanced capabilities like real-time data analysis, machine learning, and access to vast datasets. This results in more intelligent and adaptive robots that can perform complex tasks efficiently. Other than this, cloud robotics leverages the global reach of the internet, enabling robots to connect and collaborate with each other across geographical boundaries. This interconnectedness enhances their collective intelligence and problem-solving abilities. Besides this, cloud-based platforms enable remote monitoring, control, and maintenance of robotic systems. This reduces downtime and operational costs while improving overall efficiency. In line with this, various industries, including manufacturing, healthcare, agriculture, and logistics, are adopting cloud robotics to streamline operations and increase productivity. Customized solutions for specific applications are driving market growth. Furthermore, the development of autonomous vehicles, including self-driving cars and drones, heavily relies on cloud robotics for real-time navigation, data processing, and decision-making. Moreover, the continuous evolution and expansion of cloud computing infrastructure provide the necessary backbone for cloud robotics. Improved cloud capabilities, including storage, processing power, and low-latency connectivity, enable robots to access and utilize cloud resources effectively.

Cloud Robotics Market Trends/Drivers:

Significant Advancements in Cloud Computing

Cloud platforms have undergone remarkable improvements in terms of storage capacity, processing power, and low-latency connectivity. These advancements allow robots to harness the full potential of cloud resources effectively. With the increasing availability of high-speed internet and data centers worldwide, robots can seamlessly tap into the cloud to offload computationally intensive tasks. This includes tasks such as complex data analysis, machine learning, and access to massive datasets. By leveraging cloud computing, robots can enhance their decision-making capabilities and adapt to dynamic environments more efficiently. This, in turn, fosters innovation across industries, as companies can deploy robots with greater intelligence and agility, driving the adoption of cloud robotics solutions.

Scalability and Cost Efficiency

Traditional robotic deployments often require substantial upfront investments in hardware and infrastructure. In contrast, cloud robotics offers the flexibility to scale robot deployments up or down according to business needs without significant capital expenditures. The pay-as-you-go model of cloud services allows organizations to allocate resources efficiently, minimizing costs. Small and medium-sized enterprises, in particular, benefit from this cost-effective approach, as they can access the same cloud resources as larger counterparts without the burden of high upfront costs. Scalability also enables businesses to adapt to changing market demands and technological advancements more readily. As the cloud robotics ecosystem expands, companies can deploy additional robots or adjust their capabilities in response to evolving requirements. This adaptability fosters innovation and drives the widespread adoption of cloud robotics in various industries, ultimately enhancing overall operational efficiency.

Enhanced Robot Capabilities

By connecting to the cloud, robots can access real-time data analysis, machine learning algorithms, and vast datasets. This enhanced capability results in robots that are more intelligent, adaptable, and capable of performing complex tasks efficiently. For example, in healthcare, robots can access a wealth of medical knowledge stored in the cloud to assist with diagnostics and treatment recommendations. In manufacturing, robots can optimize production processes by continuously analyzing data from multiple sources. Additionally, cloud robotics allows for remote updates and improvements to robot algorithms. This means that robots can continually evolve and benefit from the latest advancements in AI and data analysis, ensuring that they remain at the forefront of technology. These enhanced capabilities drive the adoption of cloud robotics across industries seeking to harness the power of intelligent, data-driven automation.

Cloud Robotics Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global cloud robotics market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on component, connectivity, deployment mode and application.

Breakup by Component:

Hardware

Software

Services

Hardware dominates the market

The report has provided a detailed breakup and analysis of the market based on the component. This includes hardware, software, and services. According to the report, hardware represented the largest segment.

Hardware is the foundational element of any robotic system. It includes the physical components such as sensors, actuators, processors, and communication modules that enable the robot to interact with its environment and the cloud. These components are essential for collecting data, processing it, and transmitting it to the cloud for further analysis and decision-making. Without robust and capable hardware, cloud robotics systems cannot function effectively. The hardware segment encompasses a wide range of components, each serving a specific purpose. This diversity includes cameras for vision, sensors for navigation, powerful processors for computation, and reliable communication modules for seamless connectivity. As cloud robotics applications become more specialized and sophisticated, the demand for specialized hardware components increases, contributing to the segment's growth. Furthermore, hardware advancements have led to smaller, more energy-efficient, and cost-effective components. This trend has made cloud robotics more accessible to various industries, including healthcare, manufacturing, agriculture, and logistics, further driving demand for hardware components.

Breakup by Connectivity:

3G

Bluetooth

Wi-Fi

4G

5G

RF

Infrared

3G accounts for the majority of the market share

A detailed breakup and analysis of the market based on the connectivity has also been provided in the report. This includes 3G, Bluetooth, Wi-Fi, 4G, 5G, RF, and infrared. According to the report, 3G accounted for the largest market share.

3G connectivity has played a foundational role in the development of cloud robotics. While it offers relatively slower data transfer speeds compared to later generations, it has been a crucial technology for enabling basic remote robot control and data transmission. Many early cloud robotics applications, such as telemedicine and basic industrial automation, relied on 3G networks.

Breakup by Deployment Mode:

Public Cloud

Private Cloud

Hybrid Cloud

Public cloud holds the largest market share

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes public cloud, private cloud, and hybrid cloud. According to the report, public cloud represented the largest segment.

Public cloud offers unmatched scalability and accessibility. It allows organizations to access and deploy cloud robotics solutions without the need for significant upfront infrastructure investments. This level of affordability and flexibility appeals to a wide range of businesses, including startups and small to medium-sized enterprises, driving adoption. Additionally, public cloud providers offer a vast array of services, including storage, computing power, and data analytics, which are essential for cloud robotics applications. These services can be easily integrated into robotic systems, enabling them to access the necessary resources for tasks like data processing, machine learning, and remote monitoring. Other than this, public cloud providers invest heavily in security measures and compliance standards, addressing concerns related to data protection and regulatory requirements. This instills confidence in organizations that their data and operations are secure in the public cloud environment.

Breakup by Application:

Industrial Cloud Robotics

Service Cloud Robotics

Personal Service Cloud Robotics

Industrial cloud robotics represents the leading segment

A detailed breakup and analysis of the market based on the application has also been provided in the report. This includes industrial cloud robotics, service cloud robotics, and personal service cloud robotics. According to the report, industrial cloud robotics accounted for the largest market share.

Industrial cloud robotics facilitates the seamless integration of robots into manufacturing processes, enabling tasks such as automation, quality control, and material handling. This results in reduced production costs, enhanced product quality, and faster turnaround times, all of which are paramount in highly competitive markets. Furthermore, the ability of industrial cloud robotics to adapt to changing demands and optimize operations in real-time is a significant factor. Manufacturers can harness the power of cloud-based data analytics and machine learning to continuously improve their processes. This adaptability ensures that factories remain agile and responsive to market fluctuations. Additionally, industrial cloud robotics offers predictive maintenance capabilities, reducing costly downtime and prolonging the lifespan of equipment. These advantages make it a preferred choice for industries seeking to modernize and stay competitive in the global market landscape.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance in the market

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America possesses a robust technological ecosystem, with a concentration of leading cloud providers, robotics companies, and research institutions. This ecosystem fosters innovation and collaboration, driving the development and deployment of cloud robotics solutions. Additionally, North American companies invest significantly in research and development, leading to continuous advancements in cloud robotics technology. This commitment to innovation bolsters the competitiveness of the market. Other than this, the region has well-defined regulations and standards for robotics and cloud computing, providing a stable regulatory environment that fosters trust and confidence among businesses and consumers. Furthermore, several North American industries, including healthcare, logistics, and agriculture, have been early adopters of cloud robotics. These sectors leverage cloud robotics to streamline operations, reduce costs, and improve service quality. Moreover, the steady economic growth and strong market demand create opportunities for cloud robotics vendors, encouraging market expansion.

Competitive Landscape:

Leading companies are heavily investing in R&D to develop cutting-edge cloud robotics solutions. This includes refining algorithms, improving hardware components, and enhancing cloud platforms. These efforts result in more capable, efficient, and reliable robotic systems. Additionally, key players often form strategic partnerships and alliances with other technology companies, research institutions, and industry organizations. These collaborations facilitate knowledge exchange, access to complementary technologies, and the development of joint solutions that address specific market needs. Other than this, some companies pursue acquisitions and mergers to expand their product portfolios and market presence rapidly. By integrating innovative startups or complementary businesses, they can offer more comprehensive cloud robotics solutions to customers. Besides this, efforts to expand into new geographic regions and industry sectors are common strategies. Key players seek opportunities in emerging markets and niche segments, driving market growth and diversification. Moreover, customer-focused initiatives involve tailoring cloud robotics solutions to meet specific client needs. This approach enhances customer satisfaction and loyalty, often resulting in long-term partnerships.

The market research report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

ABB Group

Calvary Robotics

CloudMinds

FANUC Corporation

inVia Robotics Inc.

Kuka AG (Midea Group)

Ortelio Ltd.

Rapyuta Robotics Co. Ltd.

Universal Robots A/S (Teradyne Inc.)

V3 Smart Technologies

Yaskawa Electric Corporation

Recent Developments:

ABB Group has made a significant advancement by embracing cloud technology, which now allows for real-time collaboration among users. This development marks a crucial step forward in enhancing the accessibility and functionality of this powerful software with the integration of cloud capabilities, ABB Group enables multiple users to collaborate seamlessly on robotics projects from different locations to work together in real-time, sharing insights, making adjustments, and collectively optimizing their robotic processes.

Ortelio Ltd. and Noosware have joined forces to embark on a collaborative venture aimed at developing a cloud infrastructure and associated cloud services for a groundbreaking personalized recommender platform designed to prevent dementia. This ambitious project represents a significant step forward in the field of healthcare and dementia prevention. At the core of this partnership is the development of a sophisticated cloud infrastructure. This infrastructure will serve as the backbone for a personalized recommender platform that leverages cutting-edge technology and data analytics.

Rapyuta Robotics Co. Ltd. renowned for its cutting-edge Pick-Assist Robot, has introduced a groundbreaking feature known as the "Put-to-Light" function, aimed at revolutionizing the realm of robotics in material handling and order fulfillment. This innovative addition represents a significant stride toward enhancing efficiency and accuracy within various industries. The "Put-to-Light" function is designed to tackle one of the most critical challenges in material handling, which is to reduce picking errors. Traditionally, errors in the picking process can lead to increased operational costs, customer dissatisfaction, and wasted time and resources. Rapyuta Robotics' solution addresses this issue by introducing a seamless and intuitive system.

Key Questions Answered in This Report

  • 1. What was the size of the global cloud robotics market in 2023?
  • 2. What is the expected growth rate of the global cloud robotics market during 2024-2032?
  • 3. What has been the impact of COVID-19 on the global cloud robotics market?
  • 4. What are the key factors driving the global cloud robotics market?
  • 5. What is the breakup of the global cloud robotics market based on the component?
  • 6. What is the breakup of the global cloud robotics market based on the connectivity?
  • 7. What is the breakup of the global cloud robotics market based on the deployment mode?
  • 8. What is the breakup of the global cloud robotics market based on the application?
  • 9. What are the key regions in the global cloud robotics market?
  • 10. Who are the key players/companies in the global cloud robotics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Cloud Robotics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Hardware
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Software
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Connectivity

  • 7.1 3G
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Bluetooth
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Wi-Fi
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 4G
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 5G
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 RF
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast
  • 7.7 Infrared
    • 7.7.1 Market Trends
    • 7.7.2 Market Forecast

8 Market Breakup by Deployment Mode

  • 8.1 Public Cloud
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Private Cloud
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Hybrid Cloud
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast

9 Market Breakup by Application

  • 9.1 Industrial Cloud Robotics
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Service Cloud Robotics
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Personal Service Cloud Robotics
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 ABB Group
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 Financials
      • 15.3.1.4 SWOT Analysis
    • 15.3.2 Calvary Robotics
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
    • 15.3.3 CloudMinds
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
    • 15.3.4 FANUC Corporation
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
      • 15.3.4.3 Financials
      • 15.3.4.4 SWOT Analysis
    • 15.3.5 inVia Robotics Inc.
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
    • 15.3.6 Kuka AG (Midea Group)
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 Ortelio Ltd
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
    • 15.3.8 Rapyuta Robotics Co. Ltd.
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
    • 15.3.9 Universal Robots A/S (Teradyne Inc.)
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
    • 15.3.10 V3 Smart Technologies
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
    • 15.3.11 Yaskawa Electric Corporation
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 Financials