Data Center Automation Software Market
PUBLISHED: 2026 ID: SMRC33588
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Data Center Automation Software Market

Data Center Automation Software Market Forecasts to 2034 - Global Analysis By Component (Solutions and Services), Deployment, Data Center Type, Application, End User and By Geography

4.0 (42 reviews)
4.0 (42 reviews)
Published: 2026 ID: SMRC33588

Due to ongoing shifts in global trade and tariffs, the market outlook will be refreshed before delivery, including updated forecasts and quantified impact analysis. Recommendations and Conclusions will also be revised to offer strategic guidance for navigating the evolving international landscape.
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According to Stratistics MRC, the Global Data Center Automation Software Market is accounted for $9.08 billion in 2026 and is expected to reach $31.69 billion by 2034 growing at a CAGR of 16.9% during the forecast period. Data Center Automation Software refers to solutions designed to streamline and automate the management of data center environments through intelligent, centralized systems. These tools automate processes such as resource allocation, system configuration, performance monitoring, fault detection, and recovery, significantly reducing reliance on manual operations. By integrating with servers, networks, storage, and cloud ecosystems, the software improves efficiency, lowers operational costs, and reduces human error. Advanced features like AI-based analytics, predictive maintenance, and rule-driven orchestration support better decision-making and energy optimization. With growing demand for scalable, resilient, and high-performance data centers, automation software plays a critical role in ensuring consistent operations and faster adaptation to evolving digital workloads.

According to Statista data, the United States alone will generate US$187.94 billion in 2026, making it the largest contributor to global data center revenues.

Market Dynamics:

Driver:

Rapid growth of cloud computing and hyperscale data centers


The fast-paced adoption of cloud services and the rise of hyperscale data centers significantly fuel demand for data center automation software. Organizations are shifting critical applications and data to cloud-based infrastructures, increasing operational complexity. Manual management is no longer practical at such scale. Automation tools help streamline configuration, deployment, and performance management across vast IT environments. They enable rapid scaling, efficient workload distribution, and real-time monitoring while reducing human intervention. As cloud providers and enterprises prioritize operational efficiency, reliability, and agility, automation software plays a vital role in managing expanding data center ecosystems effectively.

Restraint:

High initial investment and implementation costs


The substantial initial investment required for data center automation software limits its adoption across many organizations. Expenses related to licensing, hardware compatibility, integration with existing systems, and consultancy services can be considerable. Smaller enterprises often struggle to justify such costs despite potential long-term savings. Customization and migration from legacy environments further raise implementation expenses. Ongoing maintenance and support also contribute to financial burden. Due to these high entry costs, many organizations remain cautious, slowing the overall market growth for data center automation solutions.

Opportunity:

Rising adoption of hybrid and multi-cloud strategies


Growing use of hybrid and multi-cloud architectures creates strong demand for data center automation software. Enterprises increasingly distribute workloads across various cloud and on-premise platforms to improve flexibility and risk management. Automation solutions enable seamless orchestration, centralized governance, and consistent operations across these environments. They reduce complexity and manual effort while supporting workload portability. As organizations continue adopting multi-cloud strategies, automation software presents a key opportunity to streamline operations and improve control across distributed data center infrastructures.

Threat:

Rising cybersecurity risks and sophisticated cyberattacks


The growing intensity of cyberattacks threatens the adoption of data center automation software. Centralized automation systems manage sensitive infrastructure, making security breaches potentially widespread and severe. Errors or vulnerabilities in automation tools can expose entire environments to risk. As cybercriminal tactics become more advanced, organizations grow cautious about implementing automated control systems. Concerns over data breaches, ransomware, and system compromise may delay adoption. These security challenges remain a significant threat to market growth.

Covid-19 Impact:

The outbreak of COVID-19 boosted growth in the Data Center Automation Software Market by driving rapid adoption of digital and cloud-based services. Remote working, online education, and increased internet usage led to higher data traffic and infrastructure demand. With limited physical access to facilities, data center operators relied on automation software to monitor, manage, and optimize systems remotely. Automation supported scalability, reliability, and cost control during uncertain conditions. Consequently, the pandemic highlighted the importance of automated data center operations, strengthening long-term market demand.

The on-premises segment is expected to be the largest during the forecast period

The on-premises segment is expected to account for the largest market share during the forecast period. Organizations value on-premises solutions for direct control over infrastructure, improved data security, and adherence to regulatory or internal compliance standards. This model allows centralized management of computing, storage, and network resources within the organization’s facilities, ensuring stability and flexibility. Enterprises handling sensitive workloads or legacy systems particularly prefer on-premises deployment to maintain independence from external providers. The need for reliable performance, secure operations, and customizable management solutions sustains strong adoption of on-premises automation in data centers worldwide.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate. The sector’s shift toward digital solutions such as EMRs, telehealth platforms, and AI-driven diagnostics has created a pressing need for efficient, secure, and automated data management. Automation software ensures regulatory compliance, safeguards sensitive patient information, and enhances operational efficiency. With increasing adoption of connected medical devices and complex IT infrastructures, healthcare providers require scalable and reliable data center solutions. The emphasis on timely data access, operational cost savings, and improved patient outcomes is fueling rapid adoption of automation technologies in the healthcare industry.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by its advanced IT ecosystem and early adoption of innovative technologies. Enterprises and public-sector organizations in the region focus on operational efficiency, security, and regulatory compliance, which encourage the use of automation tools. Significant investments in data center upgrades, AI integration, and cloud adoption further propel growth. Availability of skilled professionals and ongoing technological innovation enhance the market’s development. North America’s mature infrastructure, combined with a supportive business and technology environment, ensures its dominant position in the global data center automation software market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Accelerating digitalization, rising cloud penetration, and expanding IT infrastructure are fueling adoption of automation solutions. Nations like China, India, and Japan are investing in modernized data centers to handle AI, cloud, and big data workloads. Automation software supports operational efficiency, scalability, and security across these facilities. Strong government initiatives, enterprise modernization efforts, and the demand for reliable, cost-effective operations are key factors driving the region’s high growth rate and making Asia-Pacific a rapidly growing market for data center automation software.

Key players in the market

Some of the key players in Data Center Automation Software Market include Cisco Systems Inc., VMware Inc., IBM Corporation, Microsoft Corporation, Hewlett Packard Enterprise Company, Dell Technologies Inc., BMC Software Inc., ServiceNow Inc., Oracle Corporation, Fujitsu Ltd., Juniper Networks Inc., ABB Ltd., Citrix Systems Inc., Schneider Electric SE and NetApp Inc.

Key Developments:

In January 2026, Cisco Systems, Inc. announced its multi-year partnership with Georgetown University to modernize the campus network. Management noted that the partnership entails upgrading the entire university campus network using cutting-edge technologies. As a result, Georgetown will become one of the first universities with the largest Wi-Fi 7 deployment.

In January 2026, Microsoft Corp has been awarded a $170,444,462 firm-fixed-price task order for the Cloud One Program by the U.S. Department of War. The contract will provide Microsoft Azure cloud service offerings to support the Air Force’s Cloud One Program and its customers. Work on the project will be performed at Microsoft’s designated facilities across the contiguous United States.

In December 2025, IBM and Confluent, Inc. announced they have entered into a definitive agreement under which IBM will acquire all of the issued and outstanding common shares of Confluent for $31 per share, representing an enterprise value of $11 billion. Confluent provides a leading open-source enterprise data streaming platform that connects processes and governs reusable and reliable data and events in real time, foundational for the deployment of AI.

Components Covered:
• Solutions
• Services

Deployments Covered:
• On-premises
• Cloud-based

Data Center Types Covered:
• Enterprise Data Centers
• Managed Service Providers
• Colocation Facilities
• Hyperscale Data Centers

Applications Covered:
• IT Operations Automation
• Network Automation
• Security Automation
• Data Lifecycle Automation

End Users Covered:
• BFSI
• Telecom & IT
• Healthcare
• Government & Defense
• Manufacturing
• Retail & E-commerce
• Energy & Utilities

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary         
          
2 Preface
         
 2.1 Abstract        
 2.2 Stake Holders        
 2.3 Research Scope        
 2.4 Research Methodology        
  2.4.1 Data Mining       
  2.4.2 Data Analysis       
  2.4.3 Data Validation       
  2.4.4 Research Approach       
 2.5 Research Sources        
  2.5.1 Primary Research Sources       
  2.5.2 Secondary Research Sources       
  2.5.3 Assumptions       
          
3 Market Trend Analysis         
 3.1 Introduction         
 3.2 Drivers        
 3.3 Restraints        
 3.4 Opportunities        
 3.5 Threats        
 3.6 Application Analysis        
 3.7 End User Analysis        
 3.8 Emerging Markets        
 3.9 Impact of Covid-19        
          
4 Porters Five Force Analysis         
 4.1 Bargaining power of suppliers        
 4.2 Bargaining power of buyers        
 4.3 Threat of substitutes        
 4.4 Threat of new entrants        
 4.5 Competitive rivalry        
          
5 Global Data Center Automation Software Market, By Component         
 5.1 Introduction        
 5.2 Solutions        
 5.3 Services        
          
6 Global Data Center Automation Software Market, By Deployment         
 6.1 Introduction        
 6.2 On-premises        
 6.3 Cloud-based        
          
7 Global Data Center Automation Software Market, By Data Center Type         
 7.1 Introduction        
 7.2 Enterprise Data Centers        
 7.3 Managed Service Providers         
 7.4 Colocation Facilities         
 7.5 Hyperscale Data Centers        
          
8 Global Data Center Automation Software Market, By Application         
 8.1 Introduction        
 8.2 IT Operations Automation        
 8.3 Network Automation        
 8.4 Security Automation        
 8.5 Data Lifecycle Automation        
          
9 Global Data Center Automation Software Market, By End User         
 9.1 Introduction        
 9.2 BFSI        
 9.3 Telecom & IT        
 9.4 Healthcare        
 9.5 Government & Defense         
 9.6 Manufacturing        
 9.7 Retail & E-commerce        
 9.8 Energy & Utilities        
          
10 Global Data Center Automation Software Market, By Geography         
 10.1 Introduction        
 10.2 North America        
  10.2.1 US       
  10.2.2 Canada       
  10.2.3 Mexico       
 10.3 Europe        
  10.3.1 Germany       
  10.3.2 UK       
  10.3.3 Italy       
  10.3.4 France       
  10.3.5 Spain       
  10.3.6 Rest of Europe       
 10.4 Asia Pacific        
  10.4.1 Japan       
  10.4.2 China       
  10.4.3 India       
  10.4.4 Australia       
  10.4.5 New Zealand       
  10.4.6 South Korea       
  10.4.7 Rest of Asia Pacific       
 10.5 South America        
  10.5.1 Argentina       
  10.5.2 Brazil       
  10.5.3 Chile       
  10.5.4 Rest of South America       
 10.6 Middle East & Africa        
  10.6.1 Saudi Arabia       
  10.6.2 UAE       
  10.6.3 Qatar       
  10.6.4 South Africa       
  10.6.5 Rest of Middle East & Africa        
          
11 Key Developments         
 11.1 Agreements, Partnerships, Collaborations and Joint Ventures        
 11.2 Acquisitions & Mergers        
 11.3 New Product Launch        
 11.4 Expansions        
 11.5 Other Key Strategies        
          
12 Company Profiling         
 12.1 Cisco Systems Inc.        
 12.2 VMware Inc.        
 12.3 IBM Corporation        
 12.4 Microsoft Corporation        
 12.5 Hewlett Packard Enterprise Company        
 12.6 Dell Technologies Inc.         
 12.7 BMC Software Inc.        
 12.8 ServiceNow Inc.        
 12.9 Oracle Corporation        
 12.10 Fujitsu Ltd.        
 12.11 Juniper Networks Inc.        
 12.12 ABB Ltd.        
 12.13 Citrix Systems Inc.        
 12.14 Schneider Electric SE        
 12.15 NetApp Inc.        
          
List of Tables          
1 Global Data Center Automation Software Market Outlook, By Region (2025-2034) ($MN)         
2 Global Data Center Automation Software Market Outlook, By Component (2025-2034) ($MN)         
3 Global Data Center Automation Software Market Outlook, By Solutions (2025-2034) ($MN)         
4 Global Data Center Automation Software Market Outlook, By Services (2025-2034) ($MN)         
5 Global Data Center Automation Software Market Outlook, By Deployment (2025-2034) ($MN)         
6 Global Data Center Automation Software Market Outlook, By On-premises (2025-2034) ($MN)         
7 Global Data Center Automation Software Market Outlook, By Cloud-based (2025-2034) ($MN)         
8 Global Data Center Automation Software Market Outlook, By Data Center Type (2025-2034) ($MN)         
9 Global Data Center Automation Software Market Outlook, By Enterprise Data Centers (2025-2034) ($MN)         
10 Global Data Center Automation Software Market Outlook, By Managed Service Providers  (2025-2034) ($MN)         
11 Global Data Center Automation Software Market Outlook, By Colocation Facilities (2025-2034) ($MN)         
12 Global Data Center Automation Software Market Outlook, By Hyperscale Data Centers (2025-2034) ($MN)         
13 Global Data Center Automation Software Market Outlook, By Application (2025-2034) ($MN)         
14 Global Data Center Automation Software Market Outlook, By IT Operations Automation (2025-2034) ($MN)         
15 Global Data Center Automation Software Market Outlook, By Network Automation (2025-2034) ($MN)         
16 Global Data Center Automation Software Market Outlook, By Security Automation (2025-2034) ($MN)         
17 Global Data Center Automation Software Market Outlook, By Data Lifecycle Automation (2025-2034) ($MN)         
18 Global Data Center Automation Software Market Outlook, By End User (2025-2034) ($MN)         
19 Global Data Center Automation Software Market Outlook, By BFSI (2025-2034) ($MN)         
20 Global Data Center Automation Software Market Outlook, By Telecom & IT (2025-2034) ($MN)         
21 Global Data Center Automation Software Market Outlook, By Healthcare (2025-2034) ($MN)         
22 Global Data Center Automation Software Market Outlook, By Government & Defense (2025-2034) ($MN)         
23 Global Data Center Automation Software Market Outlook, By Manufacturing (2025-2034) ($MN)         
24 Global Data Center Automation Software Market Outlook, By Retail & E-commerce (2025-2034) ($MN)         
25 Global Data Center Automation Software Market Outlook, By Energy & Utilities (2025-2034) ($MN)         
          
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.         

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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