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1561437

データセンター自動化市場レポート：タイプ、ソリューション、展開形態、エンドユーザー、業界別、地域別、2024年～2032年

Data Center Automation Market Report by Type, Solution, Deployment Mode, End User, Industry Vertical, and Region 2024-2032

出版日
発行
IMARC
ページ情報
英文 137 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
データセンター自動化市場レポート：タイプ、ソリューション、展開形態、エンドユーザー、業界別、地域別、2024年～2032年
出版日: 2024年09月10日
発行: IMARC
ページ情報: 英文 137 Pages
納期: 2～3営業日
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  • 概要
  • 図表
  • 目次
概要

世界のデータセンター自動化市場の市場規模は2023年に57億米ドルに達しました。今後、IMARC Groupは、2024年から2032年にかけての成長率（CAGR）は12.9％を示し、2032年には175億米ドルに達すると予測しています。世界市場は、効率的なITインフラ管理、エネルギー効率によるコスト削減、厳格なコンプライアンスとセキュリティ要件の必要性によって急速に拡大しており、業務効率とデータセキュリティの強化を求める多様な業界に対応しています。

データセンター自動化市場分析：

  • 市場の成長と規模同分野は、効率的なITインフラ管理に対する需要の高まりを主な要因として、大幅な拡大を目の当たりにしています。急速な成長が特徴で、サーバー自動化が最大のセグメントであり、データベース自動化、ネットワーク自動化がこれに続く。
  • 主な市場促進要因：この分野を推進する主な要因には、エネルギー効率の高いソリューションによるコスト削減のニーズ、厳格なコンプライアンスとセキュリティ要件などがあります。企業は、運用の合理化とデータセキュリティの強化を目的に、自動化を採用する傾向が強まっています。
  • 技術の進歩：人工知能と機械学習の統合は、この市場に革命をもたらし、より予測的で適応性の高いソリューションにつながっています。先進技術により、より効率的なリソース活用とリアルタイムの意思決定が可能になりつつあります。
  • 産業への応用：自動化は、信頼性とコンプライアンスが最重要視されるヘルスケア、金融、政府機関など、さまざまな業界で極めて重要です。データセンターの階層は、基本的なティア1施設から高度に洗練されたティア4センターまで、さまざまな業界のニーズに対応しています。
  • 主な市場動向：拡張性と柔軟性を提供するクラウドベースの自動化ソリューションへのシフトが進んでいます。デジタルトランスフォーメーションの流れを反映し、企業はクラウドインフラの自動化にますます注力しています。
  • 地域別動向：北米と欧州は、先進的なITインフラと厳格な規制基準により、導入が進んでいます。アジア太平洋地域は、データセンター数の増加と技術投資により、急速に追い上げています。
  • 競合情勢：競合情勢は、ABB Limited、Cisco Systems Inc.、Dell Technologies Inc.などの主要企業が市場を形成しています。これらの企業は、市場の優位性を維持するため、継続的に技術革新を行い、製品ポートフォリオを拡大しています。
  • 課題と機会：市場には大きな機会がある一方で、複雑な統合の管理や急速に変化する技術への対応といった課題もあります。しかし、自動化され効率化されたITソリューションに対する需要の高まりは、成長とイノベーションの大きな機会をもたらします。

データセンター自動化市場動向：

効率的なITインフラ管理への需要の高まり

市場の主な原動力は、複雑で膨大なITインフラを効率的に管理するニーズの高まりです。データ量の急激な増加に伴い、企業は定型作業を自動化することで、人的ミスの可能性を減らし、全体的な運用効率を高めるソリューションを求めています。データセンターにおける自動化によって、企業はネットワーク管理、サーバー・プロビジョニング、データ・ストレージの最適化などの業務を合理化できます。急速な技術の進歩とデジタル変革により、高速で信頼性が高く、スケーラブルなIT環境が求められる時代において、この要素は極めて重要です。人工知能と機械学習技術の統合はこの需要をさらに促進し、メンテナンスとキャパシティ・プランニングのための予測分析を提供することで、稼働時間とリソース利用率を大幅に改善します。

コスト削減とエネルギー効率

市場のもう一つの重要な促進要因は、運用コストの削減とエネルギー効率の改善ニーズです。データセンターは大量のエネルギーを消費しており、電気料金の高騰や環境への懸念から、エネルギー使用の最適化にますます注目が集まっています。自動化によってリソースの効率的な利用が可能になり、消費電力の削減と運用コストの削減につながります。例えば、自動化された冷却システムは、サーバーのリアルタイムのニーズに応じて冷却を調整することができ、スマート電力管理システムは最適な電力配分を保証します。これはコスト削減に貢献するだけでなく、世界的に関心が高まっている持続可能性の目標達成にも役立ちます。自動化技術によってエネルギー使用量を監視・制御できることが、市場成長の重要な要因となっています。

コンプライアンスとセキュリティ要件

市場を牽引するもう一つの大きな要因は、企業が直面する厳格なコンプライアンスとセキュリティ要件です。データセンターは重要なビジネス・データを保管・管理するため、セキュリティと法規制の遵守が重要な課題となっています。自動化ツールは、一貫してセキュリティ・ポリシーを適用し、すべてのシステムに最新のセキュリティ・パッチを適用することで、セキュリティ・プロトコルを強化することができます。これにより、データ漏洩やサイバー攻撃のリスクを低減できます。さらに、自動化されたシステムはレポートや監査証跡を生成できるため、GDPRやHIPAAなど、さまざまな規制基準へのコンプライアンスを簡素化できます。自動化のこの側面は、データ・セキュリティとコンプライアンスが最重要視されるヘルスケア、金融、政府などの業界で特に重要です。

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 世界のデータセンター自動化市場

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

第6章 市場内訳：タイプ別

  • ティア1
    • 市場動向
    • 市場予測
  • ティア2
    • 市場動向
    • 市場予測
  • ティア3
    • 市場動向
    • 市場予測
  • ティア4
    • 市場動向
    • 市場予測

第7章 市場内訳：ソリューション

  • サーバ
    • 市場動向
    • 市場予測
  • データベース
    • 市場動向
    • 市場予測
  • ネットワーク
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第8章 市場内訳：展開モード別

  • クラウドベース
    • 市場動向
    • 市場予測
  • オンプレミス
    • 市場動向
    • 市場予測

第9章 市場内訳：エンドユーザー別

  • 企業
    • 市場動向
    • 市場予測
  • クラウドサービスプロバイダー
    • 市場動向
    • 市場予測
  • コロケーションサービスプロバイダー
    • 市場動向
    • 市場予測

第10章 市場内訳：業界別

  • BFSI
    • 市場動向
    • 市場予測
  • ITおよび通信
    • 市場動向
    • 市場予測
  • 公共部門および公益事業
    • 市場動向
    • 市場予測
  • エネルギー
    • 市場動向
    • 市場予測
  • 製造
    • 市場動向
    • 市場予測
  • ヘルスケア
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第11章 市場内訳：地域別

  • 北米
    • 米国
    • カナダ
  • アジア太平洋地域
    • 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12章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第13章 バリューチェーン分析

第14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15章 価格分析

第16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 Limited
    • BMC Software Inc.
    • Cisco Systems Inc.
    • Citrix Systems Inc.
    • Dell Technologies Inc.
    • Fujitsu limited（Furukawa Group）
    • HashRoot Ltd.
    • Hewlett Packard Enterprise Development LP
    • Intel Corporation
    • Micro Focus International plc
    • Oracle Corporation
    • Riverturn Inc.
    • Siemens AG
    • Veristor Systems Inc.
図表

List of Figures

  • Figure 1: Global: Data Center Automation Market: Major Drivers and Challenges
  • Figure 2: Global: Data Center Automation Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Data Center Automation Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Data Center Automation Market: Breakup by Type (in %), 2023
  • Figure 5: Global: Data Center Automation Market: Breakup by Solution (in %), 2023
  • Figure 6: Global: Data Center Automation Market: Breakup by Deployment Mode (in %), 2023
  • Figure 7: Global: Data Center Automation Market: Breakup by End User (in %), 2023
  • Figure 8: Global: Data Center Automation Market: Breakup by Industry Vertical (in %), 2023
  • Figure 9: Global: Data Center Automation Market: Breakup by Region (in %), 2023
  • Figure 10: Global: Data Center Automation (Tier 1) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Data Center Automation (Tier 1) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Data Center Automation (Tier 2) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Data Center Automation (Tier 2) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Data Center Automation (Tier 3) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Data Center Automation (Tier 3) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Data Center Automation (Tier 4) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Data Center Automation (Tier 4) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Data Center Automation (Server) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Data Center Automation (Server) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Data Center Automation (Database) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Data Center Automation (Database) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Data Center Automation (Network) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Data Center Automation (Network) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Data Center Automation (Other Solutions) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Data Center Automation (Other Solutions) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Data Center Automation (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Data Center Automation (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Data Center Automation (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Data Center Automation (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Data Center Automation (Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Data Center Automation (Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Data Center Automation (Cloud Services Providers) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Data Center Automation (Cloud Services Providers) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Global: Data Center Automation (Colocation Service Providers) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Global: Data Center Automation (Colocation Service Providers) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Global: Data Center Automation (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Global: Data Center Automation (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Global: Data Center Automation (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Global: Data Center Automation (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: Global: Data Center Automation (Public Sector and Utilities) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: Global: Data Center Automation (Public Sector and Utilities) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Global: Data Center Automation (Energy) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Global: Data Center Automation (Energy) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Global: Data Center Automation (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Global: Data Center Automation (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: Global: Data Center Automation (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: Global: Data Center Automation (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Global: Data Center Automation (Other Industry Verticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Global: Data Center Automation (Other Industry Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: North America: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: North America: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: United States: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: United States: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Canada: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Canada: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Asia-Pacific: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Asia-Pacific: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: China: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: China: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: Japan: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: Japan: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: India: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: India: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: South Korea: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: South Korea: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Australia: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Australia: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Indonesia: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Indonesia: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Others: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Others: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Europe: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Europe: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Germany: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Germany: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: France: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: France: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: United Kingdom: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: United Kingdom: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Italy: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 81: Italy: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 82: Spain: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 83: Spain: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 84: Russia: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 85: Russia: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 86: Others: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 87: Others: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 88: Latin America: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 89: Latin America: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 90: Brazil: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 91: Brazil: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 92: Mexico: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 93: Mexico: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 94: Others: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 95: Others: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 96: Middle East and Africa: Data Center Automation Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 97: Middle East and Africa: Data Center Automation Market: Breakup by Country (in %), 2023
  • Figure 98: Middle East and Africa: Data Center Automation Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 99: Global: Data Center Automation Industry: SWOT Analysis
  • Figure 100: Global: Data Center Automation Industry: Value Chain Analysis
  • Figure 101: Global: Data Center Automation Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Data Center Automation Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Data Center Automation Market Forecast: Breakup by Type (in Million US$), 2024-2032
  • Table 3: Global: Data Center Automation Market Forecast: Breakup by Solution (in Million US$), 2024-2032
  • Table 4: Global: Data Center Automation Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 5: Global: Data Center Automation Market Forecast: Breakup by End User (in Million US$), 2024-2032
  • Table 6: Global: Data Center Automation Market Forecast: Breakup by Industry Vertical (in Million US$), 2024-2032
  • Table 7: Global: Data Center Automation Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 8: Global: Data Center Automation Market: Competitive Structure
  • Table 9: Global: Data Center Automation Market: Key Players
目次
Product Code: SR112024A4716

The global data center automation market size reached US$ 5.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 17.5 Billion by 2032, exhibiting a growth rate (CAGR) of 12.9% during 2024-2032. The global market is rapidly expanding, driven by the need for efficient IT infrastructure management, cost reduction through energy efficiency, and stringent compliance and security requirements, catering to diverse industries seeking enhanced operational efficiency and data security.

Data Center Automation Market Analysis:

  • Market Growth and Size: The sector has witnessed significant expansion, attributed mainly to the escalating demand for efficient IT infrastructure management. It's characterized by rapid growth, with server automation as the largest segment, followed by database and network automation.
  • Major Market Drivers: Key factors propelling the sector include the need for cost reduction through energy-efficient solutions and stringent compliance and security requirements. Enterprises are increasingly adopting automation to streamline operations and enhance data security.
  • Technological Advancements: The integration of artificial intelligence and machine learning has revolutionized this market, leading to more predictive and adaptive solutions. Advanced technologies are enabling more efficient resource utilization and real-time decision-making.
  • Industry Applications: Automation is crucial across various industries, including healthcare, finance, and government, where reliability and compliance are paramount. Different tiers of data centers cater to diverse industry needs, from basic Tier 1 facilities to highly sophisticated Tier 4 centers.
  • Key Market Trends: There's a growing shift towards cloud-based automation solutions, offering scalability and flexibility. Enterprises are increasingly focusing on automating cloud infrastructures, reflecting a trend towards digital transformation.
  • Geographical Trends: North America and Europe are leading in adoption due to their advanced IT infrastructure and stringent regulatory standards. Asia-Pacific is rapidly catching up, driven by the increasing number of data centers and technological investments.
  • Competitive Landscape: The landscape is competitive, with key players like ABB Limited, Cisco Systems Inc., and Dell Technologies Inc. shaping the market. These companies are continually innovating and expanding their product portfolios to maintain market dominance.
  • Challenges and Opportunities: While the market offers significant opportunities, challenges include managing complex integrations and keeping up with rapidly changing technologies. However, the increasing demand for automated and efficient IT solutions presents vast opportunities for growth and innovation.

Data Center Automation Market Trends:

Increasing demand for efficient IT infrastructure management

The market is primarily driven by the growing need for efficient management of complex and vast IT infrastructures. With the exponential increase in data volumes, companies are seeking solutions that can automate routine tasks, thereby reducing the likelihood of human errors and enhancing overall operational efficiency. Automation in data centers enables organizations to streamline operations, including network management, server provisioning, and data storage optimization. This factor is crucial in an era where rapid technological advancements and digital transformations demand high-speed, reliable, and scalable IT environments. The integration of artificial intelligence and machine learning technologies further propels this demand, offering predictive analytics for maintenance and capacity planning, which significantly improves uptime and resource utilization.

Cost reduction and energy efficiency

Another significant driver for the market is the need to reduce operational costs and improve energy efficiency. Data centers consume a substantial amount of energy, and with rising electricity prices and environmental concerns, there is an increasing focus on optimizing energy usage. Automation enables more efficient use of resources, leading to lower power consumption and reduced operational expenses. Automated cooling systems, for instance, can adjust cooling as per the real-time needs of the servers, while smart power management systems ensure optimal power distribution. This not only contributes to cost savings but also aids in achieving sustainability goals, a growing concern for organizations globally. The ability to monitor and control energy usage through automation technologies is a key factor in the market's growth.

Compliance and security requirements

Another major factor driving the market is the stringent compliance and security requirements that organizations face. Data centers store and manage critical business data, making them a focal point for security and regulatory compliance. Automation tools can enhance security protocols by consistently applying security policies and ensuring that all systems are up to date with the latest security patches. This reduces the risk of data breaches and cyberattacks. Furthermore, automated systems can generate reports and audit trails, simplifying compliance with various regulatory standards such as GDPR, HIPAA, and others. This aspect of automation is particularly significant in industries like healthcare, finance, and government, where data security and compliance are paramount.

Data Center Automation Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on type, solution, deployment mode, end user and industry vertical.

Breakup by Type:

  • Tier 1
  • Tier 2
  • Tier 3
  • Tier 4

The report has provided a detailed breakup and analysis of the market based on the type. This includes tier 1, tier 2, tier 3, and tier 4.

The Tier 1 segment in the market caters to small-scale data centers with basic infrastructure and minimal redundancy. These data centers typically support small businesses or individual departments within larger organizations. Automation in Tier 1 data centers focuses on streamlining simple, repetitive tasks to enhance efficiency and reduce human error. While these data centers lack the advanced features of higher-tier facilities, automation can significantly improve their operational effectiveness. This includes automating server management, basic network tasks, and rudimentary environmental controls. The main appeal for Tier 1 data center automation lies in its cost-effectiveness and simplicity, making it an accessible option for smaller entities with limited IT budgets.

On the contrary, tier 2 caters to facilities with improved redundancy over Tier 1, offering enhanced reliability. These data centers are often used by small to medium-sized enterprises. Automation in Tier 2 centers includes more advanced features compared to Tier 1, focusing on higher uptime and more efficient resource management. This includes automating backup power systems, more sophisticated network management, and better cooling system controls. While not as robust as higher-tier facilities, Tier 2 automation still provides a significant boost in reliability and efficiency, making it a valuable investment for organizations seeking a balance between cost and performance.

Besides this, tier 3 automation is designed for facilities with even higher levels of redundancy and availability. These data centers serve larger organizations requiring high uptime and more complex IT needs. Automation in Tier 3 centers encompasses a broad range of functions, including advanced server management, comprehensive network automation, and sophisticated environmental control systems. The key focus here is to minimize downtime and ensure continuous operation, even during maintenance or partial system failures. Automation plays a critical role in achieving these objectives, providing robust and reliable operations essential for businesses where even minimal downtime can have significant implications.

Furthermore, tier 4 automation represents the pinnacle of modern data center technology, aimed at facilities that require fault-tolerant infrastructure and 99.995% uptime. These data centers cater to large enterprises and critical services where any downtime is unacceptable. Automation in Tier 4 centers encompasses all aspects of the data center operations, including highly advanced server and network automation, real-time environmental monitoring, and automated failover systems. The emphasis is on creating an entirely resilient infrastructure where automated processes handle every aspect of operation, from routine maintenance to emergency response, ensuring uninterrupted service under all conditions.

Breakup by Solution:

  • Server
  • Database
  • Network
  • Others

Server holds the largest share in the industry

A detailed breakup and analysis of the market based on the solution have also been provided in the report. This includes server, database, network, and others. According to the report, server accounted for the largest market share.

Server automation, the largest segment in the market, represents a vital component of modern data center automation. This segment focuses on automating tasks related to server management, including software deployment, patching, configuration, and maintenance. The growing complexity and scale of server environments, especially with the rise of virtualization and cloud computing, have made automation not just beneficial but essential. Server automation tools help in reducing manual errors, improving operational efficiency, and ensuring compliance with IT standards. This segment is particularly significant for organizations with large-scale server infrastructures, as it allows for streamlined management, enhanced security, and better resource utilization, ultimately leading to cost savings and improved performance.

On the other hand, database automation is a crucial segment focusing on automating the management and maintenance of databases. This includes tasks like database installation, configuration, patching, backup, and recovery. Automation in this area is essential for ensuring data integrity, performance optimization, and minimizing downtime. With the increasing volume of data and the critical role of databases in decision-making, database automation tools are becoming increasingly important. They help in managing complex database ecosystems efficiently, reducing the risk of human error, and ensuring high availability of database services.

Furthermore, network automation, while a smaller segment, is nonetheless integral to the overall market. This segment deals with automating network-related tasks such as configuration, management, testing, and deployment of networking devices. As networks become more complex and critical to business operations, the need for network automation tools that can provide rapid, consistent, and error-free network provisioning and management is growing. These tools help in reducing operational costs, improving network security and compliance, and enhancing overall service quality.

Breakup by Deployment Mode:

  • Cloud-based
  • On-premises

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes cloud-based, on-premises.

The cloud-based segment focuses on automating cloud infrastructure and services. This includes the automation of virtual servers, storage, and network resources, as well as the management of multi-cloud and hybrid cloud environments. Automation in cloud-based data centers is essential for scaling resources on-demand, optimizing workload distribution, and ensuring effective cost management. Tools in this segment provide capabilities like automatic scaling, resource allocation, and self-healing systems, enhancing the efficiency and agility of cloud services. This segment caters to organizations that leverage cloud computing for its flexibility, scalability, and reduced need for physical infrastructure management.

On the other hand, the on-premises segment involves automating the physical infrastructure and IT resources located within an organization's own facility. This includes server management, network configuration, storage allocation, and environmental controls. Automation in on-premises data centers is crucial for improving operational efficiency, enhancing security, and reducing the complexity of managing physical hardware. It allows organizations to maintain greater control over their IT environment while still benefiting from the efficiencies of automation. This segment is particularly relevant for businesses that require strict data sovereignty, have specific regulatory compliance needs, or prefer to maintain a physical presence of their critical IT assets.

Breakup by End User:

  • Enterprises
  • Cloud Services Providers
  • Colocation Service Providers

A detailed breakup and analysis of the market based on the end user have also been provided in the report. This includes enterprises, cloud services providers, and colocation service providers.

The enterprise segment caters to large organizations with extensive and complex IT infrastructures. Automation in this segment is focused on integrating and managing a diverse range of IT resources, including servers, databases, networks, and storage systems. The key objective is to streamline operations, enhance security, and improve service delivery across the enterprise. Automation tools for enterprises often include advanced features like AI-driven analytics, machine learning for predictive maintenance, and comprehensive security protocols. This segment is vital for large-scale organizations looking to optimize their IT operations, reduce costs, and stay competitive in a rapidly changing digital landscape.

On the contrary, for cloud services providers, the automation of data center is fundamental to delivering efficient, scalable, and reliable services to their customers. Automation in this segment encompasses managing large-scale, distributed cloud infrastructures, including automated resource provisioning, load balancing, and orchestration of cloud-native applications. The focus is on maximizing resource utilization, minimizing operational overhead, and providing seamless scalability. Automation tools for cloud service providers enable them to offer a wide range of services, from basic infrastructure as a service (IaaS) to complex platform as a service (PaaS) and software as a service (SaaS) offerings.

Moreover, in the colocation service provider segment, data center automation focuses on managing shared data center facilities where multiple organizations host their IT equipment. Automation in this segment includes streamlining the deployment and management of client infrastructure, efficient power and cooling management, and ensuring high levels of physical and network security. The objective is to provide clients with reliable and cost-effective hosting solutions, where automation plays a key role in optimizing space utilization, reducing energy consumption, and offering enhanced monitoring and management services.

Breakup by Industry Vertical:

  • BFSI
  • IT and Telecom
  • Public Sector and Utilities
  • Energy
  • Manufacturing
  • Healthcare
  • Others

BFSI dominates the market

The report has provided a detailed breakup and analysis of the market based on the industry vertical. This includes BFSI, IT and telecom, public sector and utilities, energy, manufacturing, healthcare, others. According to the report, BFSI represented the largest segment.

The BFSI sector represents the largest segment in the market. This prominence is attributed to the high volume of data transactions and the critical need for secure and efficient data management within the sector. Banks, financial institutions, and insurance companies are increasingly investing in data center automation to enhance operational efficiency, reduce downtime, and ensure compliance with stringent regulatory standards. Automation in data centers helps BFSI organizations in real-time data processing, risk management, and providing personalized customer services. The growing emphasis on digital banking and fintech innovations further fuels the demand for advanced data center automation solutions in this segment.

On the other hand, in the IT and Telecom sector, data center automation is pivotal for managing the vast amount of data generated and ensuring high network reliability and uptime. This sector relies heavily on data center automation for optimizing server utilization, network management, and ensuring uninterrupted service delivery. The rise in cloud services and the increasing adoption of IoT devices necessitate efficient data management solutions, driving the growth of automation in this sector.

Moreover, the public sector and utilities segment utilizes data center automation for managing large-scale data efficiently and securely. Automation plays a key role in ensuring compliance with government regulations, enhancing public service delivery, and maintaining critical infrastructure. This sector is increasingly adopting automation to improve operational efficiency and data security.

Besides this, in the energy sector, data center automation is crucial for managing the complex data involved in energy production and distribution. Automation aids in optimizing performance, predicting maintenance needs, and ensuring continuous operation, which is vital in this sector where uptime and efficiency are paramount.

Furthermore, the manufacturing sector employs data center automation to enhance operational efficiency, manage supply chain operations, and support the growing trend of Industry 4.0. Automation in data centers allows for real-time monitoring and control of manufacturing processes, improving productivity and reducing costs.

Apart from this, automation of data center in healthcare is essential for managing patient data, supporting telemedicine, and facilitating research. Automation ensures the confidentiality and accessibility of sensitive medical records, while also aiding in the analysis of large datasets for medical research and patient care.

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 leads the market, accounting for the largest data center automation market share

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); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, 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 holds the largest share in the market, primarily attributed to the region's advanced technological infrastructure and the presence of key industry players. This region demonstrates a high adoption rate of automation technologies in data centers due to the growing demand for cloud services, big data analytics, and the Internet of Things (IoT). The United States and Canada are at the forefront, investing significantly in research and development to further enhance automation solutions. This market dominance is also supported by the region's robust regulatory framework that emphasizes data security and energy efficiency, making it conducive for companies to invest in automated solutions.

In Europe, the market is characterized by a strong focus on energy efficiency and reducing carbon footprints, aligning with the region's stringent environmental regulations. Countries like Germany, the UK, and France are leading in adopting these technologies, driven by the need to manage growing data volumes and comply with the GDPR regulations. European companies are increasingly turning to automation to streamline operations and improve data management, with a keen interest in integrating sustainable practices within their data centers.

The Asia Pacific region shows significant growth potential, fueled by rapid digitalization and industrial growth, especially in emerging economies like China and India. This region is witnessing a growing demand for cloud computing services and a significant growth in data traffic, necessitating efficient data management solutions. Investments in infrastructure development and a growing emphasis on cloud-based solutions are key factors propelling the adoption of automation technologies in this region.

Latin America is experiencing gradual growth in this sector. Factors such as increasing digital transformation initiatives, especially in countries like Brazil and Mexico, contribute to this development. The region's market is characterized by a growing awareness of the benefits of automated data management systems, including enhanced operational efficiency and reduced costs, although it still faces challenges like limited technological infrastructure and investment.

In the Middle East and Africa, the market is emerging, with countries like the UAE and Saudi Arabia leading the adoption of automation technologies. The growth is attributed to increasing investments in IT infrastructure, coupled with a growing emphasis on diversifying economies away from oil dependency. This region shows potential due to its increasing adoption of cloud services and a focus on building smart cities, which require robust data management solutions.

Leading Key Players in the Data Center Automation Industry:

The leading players are actively engaging in innovative strategies to strengthen their market positions. These companies are heavily investing in research and development to introduce advanced automation solutions that integrate artificial intelligence and machine learning. This focus aims to enhance the efficiency, scalability, and security of data centers. They are also forming strategic partnerships and collaborations with technology firms to broaden their service offerings and tap into new market segments. Additionally, these industry leaders are expanding their global footprint by establishing data centers in emerging economies, catering to the growing demand for cloud services and data storage solutions. Emphasis on sustainability is another key aspect, with initiatives to develop energy-efficient and environmentally friendly data center solutions, aligning with global trends towards reducing carbon footprints.

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

  • ABB Limited
  • BMC Software Inc.
  • Cisco Systems Inc.
  • Citrix Systems Inc.
  • Dell Technologies Inc.
  • Fujitsu limited (Furukawa Group)
  • HashRoot Ltd.
  • Hewlett Packard Enterprise Development LP
  • Intel Corporation
  • Micro Focus International plc
  • Oracle Corporation
  • Riverturn Inc.
  • Siemens AG
  • Veristor Systems Inc.

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Latest News:

  • December 1, 2023: BMC Software Inc. added a BMC AMI DevX Code Insights tool that makes use of machine learning algorithms to break apart monolithic COBOL mainframe applications into subprograms that are easier to update and refactor. In addition, BMC is now making available BMC AMI zAdviser Enterprise, a commercial instance of a previously announced free tool that uses machine learning algorithms to collect telemetry data from mainframe applications.
  • December 21, 2023: Cisco today announced the intent to acquire Isovalent, a leader in open-source cloud native networking and security, to bolster its secure networking capabilities across public clouds. The acquisition of Isovalent will build on the Cisco Security Cloud vision, an AI-driven, cloud delivered, integrated security platform for organizations of any shape and size.
  • July 27, 2023: Citrix Systems Inc. today announced expanded capabilities for its cloud and on-premises solutions for the hybrid world. As part of this expansion, Desktop-as-a-Service (DaaS) and virtual desktop infrastructure (VDI) offerings are now combined in a Citrix Universal subscription.

Key Questions Answered in This Report:

  • How has the global data center automation market performed so far, and how will it perform in the coming years?
  • What are the drivers, restraints, and opportunities in the global data center automation market?
  • What is the impact of each driver, restraint, and opportunity on the global data center automation market?
  • What are the key regional markets?
  • Which countries represent the most attractive data center automation market?
  • What is the breakup of the market based on the type?
  • Which is the most attractive type in the data center automation market?
  • What is the breakup of the market based on the solution?
  • Which is the most attractive solution in the data center automation market?
  • What is the breakup of the market based on the deployment mode?
  • Which is the most attractive deployment mode in the data center automation market?
  • What is the breakup of the market based on the end user?
  • Which is the most attractive end user in the data center automation market?
  • What is the breakup of the market based on the industry vertical?
  • Which is the most attractive industry vertical in the data center automation market?
  • What is the competitive structure of the market?
  • Who are the key players/companies in the global data center automation 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 Data Center Automation Market

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

6 Market Breakup by Type

  • 6.1 Tier 1
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Tier 2
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Tier 3
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Tier 4
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast

7 Market Breakup by Solution

  • 7.1 Server
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Database
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Network
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Others
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast

8 Market Breakup by Deployment Mode

  • 8.1 Cloud-based
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 On-premises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by End User

  • 9.1 Enterprises
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Cloud Services Providers
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Colocation Service Providers
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast

10 Market Breakup by Industry Vertical

  • 10.1 BFSI
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 IT and Telecom
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Public Sector and Utilities
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Energy
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Manufacturing
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Healthcare
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Others
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia-Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 ABB Limited
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
      • 16.3.1.3 Financials
      • 16.3.1.4 SWOT Analysis
    • 16.3.2 BMC Software Inc.
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 SWOT Analysis
    • 16.3.3 Cisco Systems Inc.
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 Financials
      • 16.3.3.4 SWOT Analysis
    • 16.3.4 Citrix Systems Inc.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
      • 16.3.4.4 SWOT Analysis
    • 16.3.5 Dell Technologies Inc.
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 Fujitsu limited (Furukawa Group)
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 Financials
      • 16.3.6.4 SWOT Analysis
    • 16.3.7 HashRoot Ltd.
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
    • 16.3.8 Hewlett Packard Enterprise Development LP
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Intel Corporation
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 Micro Focus International plc
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
    • 16.3.11 Oracle Corporation
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
      • 16.3.11.4 SWOT Analysis
    • 16.3.12 Riverturn Inc.
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
    • 16.3.13 Siemens AG
      • 16.3.13.1 Company Overview
      • 16.3.13.2 Product Portfolio
      • 16.3.13.3 Financials
      • 16.3.13.4 SWOT Analysis
    • 16.3.14 Veristor Systems Inc.
      • 16.3.14.1 Company Overview
      • 16.3.14.2 Product Portfolio