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市場調査レポート
商品コード
1802015
データセンターオートメーションの世界市場規模、シェア、成長分析:コンポーネント別、展開タイプ別、エンドユーザー別、地域別 - 産業予測(2025年~2032年)Data Center Automation Market Size, Share, and Growth Analysis, By Component (Software, Hardware), By Deployment Type (On-Premises, Cloud), By End User, By Region - Industry Forecast 2025-2032 |
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データセンターオートメーションの世界市場規模、シェア、成長分析:コンポーネント別、展開タイプ別、エンドユーザー別、地域別 - 産業予測(2025年~2032年) |
出版日: 2025年08月28日
発行: SkyQuest
ページ情報: 英文 183 Pages
納期: 3~5営業日
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世界のデータセンターオートメーションの市場規模は、2023年に102億米ドルと評価され、2024年の112億4,000万米ドルから2032年には244億5,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは10.2%で成長する見通しです。
世界のデータセンターオートメーション市場は、データ需要の高まり、テクノロジーの進歩、業務効率化の必要性によって大きな成長を遂げています。特に、クラウドサービスが各業界で普及するにつれて、コスト削減とパフォーマンスの最適化を目的とした自動化ソリューションの導入が進んでいます。エネルギー効率と持続可能性が重視され、企業は電力管理と環境モニタリングの自動化サービスを採用するようになっています。さらに、規制遵守が重要な要素になりつつあり、自動化された監査証跡と報告システムの需要が高まっています。AI、機械学習、IoT、拡張現実、仮想現実の統合は、予測分析、作業負荷管理、即時是正措置を可能にし、状況をさらに変化させています。これらの技術革新は、メンテナンス手順に革命をもたらし、コンプライアンスを改善し、システム全体の効率を高めています。
Global Data Center Automation Market size was valued at USD 10.2 billion in 2023 and is poised to grow from USD 11.24 billion in 2024 to USD 24.45 billion by 2032, growing at a CAGR of 10.2% during the forecast period (2025-2032).
The global data center automation market is experiencing significant growth driven by escalating data demands, advancements in technology, and the need for enhanced operational efficiency. Businesses are increasingly implementing automated solutions to reduce costs and optimize performance, particularly as cloud services gain traction across industries. There is a strong emphasis on energy efficiency and sustainability, prompting companies to adopt automated services for power management and environmental monitoring. Additionally, regulatory compliance is becoming a key factor, enhancing the demand for automated audit trails and reporting systems. The integration of AI, machine learning, IoT, augmented reality, and virtual reality is further transforming the landscape, enabling predictive analytics, workload management, and instant corrective actions. These innovations are revolutionizing maintenance procedures, improving compliance, and enhancing overall system efficiency.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Center Automation market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Data Center Automation Market Segments Analysis
Global Data Center Automation Market is segmented by Component, Deployment Type, End User and region. Based on Component, the market is segmented into Software, Hardware and Services. Based on Deployment Type, the market is segmented into On-Premises and Cloud. Based on End User, the market is segmented into BFSI, IT and Telecommunications, Healthcare, Retail, Manufacturing and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Data Center Automation Market
The surging volume of data and the complexities inherent in current IT infrastructures are significantly driving the demand for data center automation technologies across organizations. The influence of social media platforms, coupled with digital transformation efforts supported by governmental initiatives, is prompting organizations to embrace these automation technologies for managing both structured and unstructured data. Furthermore, the increasing trend of organizations migrating towards cloud and hybrid cloud environments is bolstering the adoption of data center automation solutions, facilitating improved efficiency, scalability, and management of resources within their IT ecosystems.
Restraints in the Global Data Center Automation Market
The Global Data Center Automation market faces significant restraints due to the substantial initial investments required for modernizing infrastructure, acquiring sophisticated software platforms, and implementing automation-capable hardware. Furthermore, companies must allocate additional funds for AI-driven management systems, IoT sensors, and robotic process automation tools. This high financial barrier can deter emerging firms and startups from embracing data center automation technologies, limiting their ability to compete in an increasingly digital landscape. As a result, the high cost associated with these advanced solutions continues to pose challenges for potential adopters, hindering broader market growth and innovation.
Market Trends of the Global Data Center Automation Market
The Global Data Center Automation market is experiencing a significant trend towards the integration of AI-driven predictive maintenance, revolutionizing the way operations are managed. This innovative approach not only enhances operational efficiency but also significantly boosts reliability by minimizing unplanned downtime and mitigating costly repairs. By intelligently adjusting cooling units and optimizing power distribution systems, AI technologies anticipate system failures, ensuring seamless service continuity even amid component malfunctions. As organizations increasingly recognize the strategic value of leveraging AI for proactive maintenance, the demand for automated solutions is soaring, positioning AI-driven predictive maintenance as a key driver of growth in the data center automation landscape.