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製造業向けクラウドロボティクスの世界市場：2025年～2032年

Global Cloud Robotics for Manufacturing Market - 2025-2032

出版日
ページ情報
英文 180 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
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
製造業向けクラウドロボティクスの世界市場：2025年～2032年
出版日: 2025年03月25日
発行: DataM Intelligence
ページ情報: 英文 180 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

世界の製造業向けクラウドロボティクスの市場規模は、2024年に51億2,000万米ドルに達し、2032年には296億3,000万米ドルに達すると予測され、予測期間の2025年～2032年のCAGRは24.54%となる見込みです。

製造業における協働ロボットの利用拡大が、世界の製造業向けクラウドロボティクスの大きな原動力となっています。協働ロボットは、標準的な産業用ロボットとは異なり、産業環境において人間の作業者とともに動作し、効率、精度、安全性を高めることを目的としています。クラウド接続により、これらのロボットはリアルタイムのデータを受信し、動的な生産ニーズに対応し、AI主導の意思決定を使用してワークフローを最適化することができます。

協働ロボット生産のリーダーであるユニバーサルロボットは、クラウドベースの分析をロボットアームに統合し、企業がロボットのパフォーマンスを遠隔監視し、予知保全を計画できるようにしました。これにより、ダウンタイムが短縮され、生産工程の効率が向上します。企業が労働力不足を解消し、業務効率を高めるために自動化を優先する中、クラウドに接続された協働ロボットのニーズは急増し、製造業向けクラウドロボティクス市場の成長を後押しすると予測されています。

スマートマニュファクチャリングとインダストリー4.0プロジェクトの採用が増加していることが、世界の製造業向けクラウドロボティクス市場の主要な促進要因となっています。製造業者が効率性、柔軟性、拡張性の向上を熱望する中、クラウドロボティクスは、リアルタイムモニタリング、予知保全、生産ライン全体のシームレスな自動化を可能にするために不可欠です。AI、IoT、ビッグデータ分析をクラウドロボティクスに統合することで、産業界は運用コストを削減しながら生産性を向上させることができます。

例えば、SiemensとNVIDIAは、クラウドロボティクスを使用して生産プロセスをリアルタイムで再現する産業用デジタルツイン技術の開発に協力しました。これにより、製造業者は物理的な実装の前にオペレーションを最適化し、ダウンタイムを減らして生産効率を高めることができます。ドイツのインダストリー4.0政策や中国のメイド・イン・チャイナ2025構想など、世界各国の政府が資金援助やインセンティブを通じてデジタルトランスフォーメーションを推進していることから、製造業におけるクラウドロボティクスの採用は加速し、大きな市場開拓が見込まれます。

製造業向けクラウドロボティクスの世界展開における大きな障壁の1つは、クラウドベースのロボットシステムの採用に伴う初期投資の高さと統合の複雑さです。製造業者、特に中小企業（SME）は、従来のオートメーションからクラウド一体型のロボットソリューションに切り替える際、しばしば財政的・技術的に大きな課題に直面します。

高度なロボット技術、クラウドインフラ、サイバーセキュリティ対策、データ管理システムは法外に高価な場合があり、予算重視の企業にとっては導入が難しいです。さらに、クラウドロボティクスと従来の生産システムを統合することは技術的な障害となり、専門的なスキルや既存のワークフローの大幅な再構成が必要となります。

当レポートでは、世界の製造業向けクラウドロボティクス市場について調査し、市場の概要とともに、オファリング別、ロボットタイプ別、企業規模別、用途別、地域別動向、競合情勢、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 調査手法と範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
    • 抑制要因
    • 機会
    • 影響分析

第5章 業界分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • バリューチェーン分析
  • 価格分析
  • 規制およびコンプライアンス分析
  • AIと自動化の影響分析
  • 研究開発とイノベーション分析
  • 持続可能性とグリーン企業規模分析
  • サイバーセキュリティ分析
  • 次世代企業規模分析
  • エンタープライズ規模のロードマップ
  • DMIオピニオン

第6章 オファリング別

  • ソリューション
  • サービス

第7章 ロボットタイプ別

  • 産業用ロボット
  • サービスロボット

第8章 企業規模別

  • 大企業
  • 中小企業

第9章 用途別

  • マテリアルハンドリング、倉庫管理、在庫管理
  • 組立・生産ラインの自動化
  • 品質検査・試験
  • 倉庫・在庫管理
  • その他

第10章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他
  • 南米
    • ブラジル
    • アルゼンチン
    • その他
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市場ポジショニング/シェア分析
  • 合併と買収の分析

第12章 企業プロファイル

  • CloudMinds
  • Rapyuta Robotics Co. Ltd.
  • Microsoft Corporation
  • Rockwell Automation Inc.
  • ABB
  • Calvary Robotics
  • Kuka AG
  • Amazon Robotics
  • IBM Corporation
  • Ortelio Ltd.

第13章 付録

目次
Product Code: ICT9394

Global cloud robotics for manufacturing market reached US$ 5.12 billion in 2024 and is expected to reach US$ 29.63 billion by 2032, growing with a CAGR of 24.54% during the forecast period 2025-2032.

The growing use of collaborative robots in manufacturing is a significant driver of the global cloud robotics for manufacturing industry. Collaborative robots, unlike standard industrial robots, are intended to operate alongside human workers in industry settings, increasing efficiency, precision and safety. With cloud connectivity, these robots can receive real-time data, react to dynamic production needs and optimize workflows using AI-driven decision-making.

Universal Robots, a leader in collaborative robot production, has integrated cloud-based analytics into its robotic arms, allowing businesses to remotely monitor robot performance and plan predictive maintenance. This reduces downtime and increases efficiency in production processes. As businesses prioritize automation to alleviate labor shortages and enhance operational efficiency, the need for cloud-connected collaborative robot is predicted to surge, fueling the growth of the cloud robotics for manufacturing market.

Dynamic

Rising Adoption of Smart Manufacturing and Industry 4.0

The rising adoption of smart manufacturing and Industry 4.0 projects is a key driver of the global cloud robotics for manufacturing market. As manufacturers aspire for more efficiency, flexibility and scalability, cloud-based robotics is critical to allowing real-time monitoring, predictive maintenance and seamless automation across production lines. The integration of AI, IoT and big data analytics with cloud robots allows industries to increase productivity while lowering operational expenses.

Siemens and NVIDIA, for example, worked together to develop industrial digital twin technology, which uses cloud robotics to replicate production processes in real time. This allows manufacturers to optimize operations before physical implementation, reducing downtime and increasing production efficiency. With governments globally promoting digital transformation through funding and incentives, such as Germany's Industry 4.0 policy and China's Made in China 2025 initiative, adoption of cloud robotics in manufacturing is projected to accelerate, creating significant market development.

High Initial Investment and Integration Challenges

One of the major barriers to the global cloud robotics for the manufacturing industry is the high initial investment and integration complexity associated with adopting cloud-based robotic systems. Manufacturers, particularly small and medium-sized organizations (SMEs), frequently encounter major financial and technological challenges when switching from traditional automation to cloud-integrated robotic solutions.

Advanced robotic technology, cloud infrastructure, cybersecurity measures and data management systems can be prohibitively expensive, making adoption difficult for budget-conscious enterprises. Furthermore, integrating cloud robots with legacy production systems poses technological obstacles, requiring specialized skills and considerable reconfiguration of existing workflows.

Segment Analysis

The global cloud robotics for manufacturing market is segmented based on offering, robot type, enterprise size, application and region.

Industrial Robots in the global market is expected to drive the market.

In 2024, the industrial robots segment accounted for the largest percentage of global cloud robotics for manufacturing market. The combination of cloud computing, big data and other emerging technologies enables the design of multi-robot systems with great performance and complexity. Industrial robotics has grown significantly as a result of increased IoT penetration and robotics expenditures.

In accordance to the International Federation of Robotics, robot installations worldwide have rebounded quickly, making 2021 the most successful year in the robotics industry's history (IFR). Demand achieved high levels across industries due to the continuing trend toward automation and continued technological innovation. Even the pre-pandemic high of 422,000 installations per year in 2018 was broken by 2021.

Geographical Penetration

Growing Penetration of Cloud Computing in Asia-Pacific.

Asia-Pacific is expected to play a significant part in the global cloud robotics for manufacturing market. The market is experiencing a strong push toward sustainability and green enterprise adoption, driven by rapid industrialization and government initiatives promoting eco-friendly manufacturing. Cloud robotics reduces energy consumption by shifting computational processes to centralized cloud platforms, enabling manufacturers to optimize energy efficiency and reduce carbon footprints.

Industrial robots are expected to grow fast in China as the downstream manufacturing sector recovers and production of lithium batteries, new energy vehicles and other industries expands. For the last eight years, China has been the biggest market worldwide for industrial robots. Under a five-year plan announced by the Ministry of Industry and Information Technology, China's robotics industry's operating revenue is expected to grow at a 20% annual rate from 2021 to 2025.

Sustainability and Green Enterprise Size Analysis

The global cloud robotics market for manufacturing is shifting toward sustainability and green corporate solutions as industries strive to reduce energy usage and carbon footprints. Cloud-based robots eliminate the need for large on-premise computing infrastructures, resulting in lower electricity use and hardware waste. Furthermore, AI-driven robotic automation enhances manufacturing processes by reducing material waste and increasing resource efficiency. Large organizations are using cloud robots to implement predictive maintenance, decreasing machine downtime and energy-intensive repairs.

For example, ABB Ltd. incorporates cloud-connected robots into smart factories to improve efficiency and sustainability, lowering operational costs and boosting overall environmental performance. Similarly, SMEs benefit from cloud robotics' scalability, which enables them to implement green automation without making significant upfront investments in physical servers or computer equipment. This transformation fits with global sustainability goals and cloud robotics is a crucial driver of eco-friendly manufacturing processes.

Competitive Landscape

The major global players in the market include CloudMinds, Rapyuta Robotics Co. Ltd., Microsoft Corporation, Rockwell Automation Inc., ABB, Calvary Robotics, Kuka AG, Amazon Robotics, IBM Corporation and Ortelio Ltd.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Offering
  • 3.2. Snippet by Robot Type
  • 3.3. Snippet by Enterprise Size
  • 3.4. Snippet by Application
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising Adoption of Smart Manufacturing and Industry 4.0
    • 4.1.2. Restraints
      • 4.1.2.1. High Initial Investment and Integration Challenges
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. AI & Automation Impact Analysis
  • 5.7. R&D and Innovation Analysis
  • 5.8. Sustainability & Green Enterprise Size Analysis
  • 5.9. Cybersecurity Analysis
  • 5.10. Next Generation Enterprise Size Analysis
  • 5.11. Enterprise Size Roadmap
  • 5.12. DMI Opinion

6. By Offering

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 6.1.2. Market Attractiveness Index, By Offering
  • 6.2. Solution*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Service

7. By Robot Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 7.1.2. Market Attractiveness Index, By Robot Type
  • 7.2. Industrial Robots*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Service Robots

8. By Enterprise Size

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 8.1.2. Market Attractiveness Index, By Enterprise Size
  • 8.2. Large Enterprises*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. SMEs

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Material Handling & Warehouse & Inventory Management*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Assembly & Production Line Automation
  • 9.4. Quality Inspection & Testing
  • 9.5. Warehouse & Inventory Management
  • 9.6. Others

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.7.1. US
      • 10.2.7.2. Canada
      • 10.2.7.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.7.1. Germany
      • 10.3.7.2. UK
      • 10.3.7.3. France
      • 10.3.7.4. Italy
      • 10.3.7.5. Spain
      • 10.3.7.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.7.1. Brazil
      • 10.4.7.2. Argentina
      • 10.4.7.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.7.1. China
      • 10.5.7.2. India
      • 10.5.7.3. Japan
      • 10.5.7.4. Australia
      • 10.5.7.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. CloudMinds*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. Rapyuta Robotics Co. Ltd.
  • 12.3. Microsoft Corporation
  • 12.4. Rockwell Automation Inc.
  • 12.5. ABB
  • 12.6. Calvary Robotics
  • 12.7. Kuka AG
  • 12.8. Amazon Robotics
  • 12.9. IBM Corporation
  • 12.10. Ortelio Ltd.

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us