Infrastructure as Code Market Size & Share 2026-2035
Market Size - By Component (Software, Services), By Infrastructure (Mutable Infrastructure, Immutable Infrastructure), By Approach (Declarative, Imperative), By Deployment Mode (Cloud-Based, On-Premises), By Organization Size (Large Enterprises, SMEs), and By End Use (IT & Telecom, BFSI, Healthcare & Life Sciences, Government & Public Sector, Retail & E-Commerce, Manufacturing, Energy & Utilities, Media & Entertainment, Transportation & Logistics, Education, Others), Growth Forecast. The market forecasts are provided in terms of revenue (USD).
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Infrastructure as Code Market Size
The global infrastructure as code market was valued at USD 1 billion in 2025. The market is expected to grow from USD 1.2 billion in 2026 to USD 8.6 billion in 2035 at a CAGR of 24.3%, according to latest report published by Global Market Insights Inc.
Infrastructure as Code Market Key Takeaways
Market Size & Growth
Regional Dominance
Key Market Drivers
Challenges
Opportunity
Key Players
The sustained expansion of public cloud infrastructure across hyperscaler platforms AWS, Microsoft Azure, and Google Cloud has created a structural imperative for standardized, repeatable provisioning frameworks capable of managing resources at scale without manual intervention.[1]Cloud Native Computing Foundation (CNCF), https://www.cncf.io Enterprises operating across two or more cloud providers require IaC toolchains that abstract provider-specific APIs into unified configuration layers, driving adoption of tooling such as Terraform, Pulumi, AWS CDK, and Azure Bicep. OECD digital economy data confirms that cloud services spending across member economies expanded at double-digit rates through 2024, accelerating the transition from static, manually managed infrastructure toward policy-driven, version-controlled automation. [2]Organisation for Economic Co-operation and Development (OECD), https://www.oecd.org
The increasing maturity of DevOps approaches used within businesses is greatly driving the adoption of Infrastructure as Code because companies tend to increase the efficiency of their software development lifecycle by making it faster and more agile. DevOps processes today demand infrastructure automation that would be easily integrated into CI/CD workflows. With infrastructure as code, infrastructure components can be managed as part of software and undergo the process of testing, versioning, and automated deployment just like code. This makes it possible to achieve better cooperation between developers and operations personnel and to deploy apps faster.
Regulatory demands and cybersecurity challenges are compelling enterprises to implement Infrastructure as Code automation in governance of infrastructure. With Infrastructure as Code, enterprises can integrate compliance, security and configuration management rules into the code that governs the infrastructure itself. The National Institute of Standards and Technology's Cybersecurity Framework (CSF) 2.0, released in February 2024, finds out configuration management and infrastructure automation as controls within the Identify and Protect functions of the revised framework. [3]National Institute of Standards and Technology (NIST), https://www.nist.gov The European Union's Digital Operational Resilience Act (DORA), applicable from January 2025, mandates ICT asset management, change management, and incident reporting disciplines that IaC tooling directly addresses through version-controlled provisioning logs and automated drift detection. [4]European Commission, https://ec.europa.eu
There have been increasing demands for optimizing IT spendings and enhancing operational efficiency, prompting firms to consider IaC. The conventional way of managing infrastructure entails significant efforts in manual provisioning, configuring, and maintaining infrastructure, all of which could take a lot of time and resources, and there is a possibility of human error. Using Infrastructure as Code will help companies manage their infrastructure more effectively, as well as cut back on the effort, cost, and administrative work involved in the process. Furthermore, automatic infrastructure management leads to better resource allocation, reduced downtime, faster services, and scalable operations despite minimal staffing.
Infrastructure as Code Market Trends
Organizations are now embracing GitOps for the purpose of infrastructure management through the adoption of GitOps in order to increase automation, governance, and consistency in deployments. GitOps allows the use of Git as the only source of record when it comes to infrastructure configuration whereby any changes made in the infrastructure are recorded, reviewed, and managed using Git versions. GitOps allows more collaborative working between developers and operators, easy rollbacks, and auditing purposes. In the era of cloud-native and Kubernetes systems, GitOps is fast becoming an ideal way forward.
The codification of security and compliance policies as machine-executable rules, embedded within or adjacent to the IaC provisioning pipeline represents one of the most consequential architectural shifts in enterprise infrastructure management currently underway. [5]US Cybersecurity and Infrastructure Security Agency (CISA), https://www.cisa.gov The Policy-as-Code strategy allows organizations to write their security policies and compliance needs in a form of machine-readable code that can be automatically applied while deploying the infrastructure. With such a solution, it is possible to avoid misconfiguration risks, comply with regulations, and standardize infrastructure operations.
The roles played by Artificial Intelligence (AI) and Generative AI (GenAI) in Infrastructure as Code operations have become very crucial as organizations continue to adopt automation for various aspects of managing infrastructure resources. The use of AI solutions will help in the development of infrastructure templates, identifying any errors in configuration, optimizing processes, and even conducting remediation activities. These features minimize the amount of work that needs to be done manually and make the deployment process easier and faster. Organizations adopting DevOps processes need to implement these AI solutions in IaC systems.
Increasing use of multi-cloud and hybrid cloud is creating demand for Infrastructure as Code that can handle different infrastructure setups from one single point. Increasingly, firms are adopting different cloud platforms and even their own infrastructures for better flexibility and resilience. Using Infrastructure as Code, it becomes possible to maintain consistency when it comes to setting up and configuring different workloads in multiple locations, thus lowering the burden of management. With continued focus on flexibility, the increasing adoption of multi-cloud and hybrid cloud setups is expected to be another major trend shaping the future of the Infrastructure as Code industry.
Infrastructure as Code Market Analysis
Based on component, the market is divided into software and services. Software segment dominated the market, accounting for 75.7% share in 2025 and is expected to grow at a CAGR of 23.3% through 2026 to 2035.
Based on infrastructure, infrastructure as code market is segmented into mutable infrastructure and immutable infrastructure. Immutable infrastructure segment dominates the market, accounting for 61.6% share in 2025 and is expected to grow at a CAGR of 25.1% from 2026 to 2035.
Based on approach, infrastructure as code market is segmented into declarative and imperative. Declarative segment dominate the market, accounting for 75.6% share in 2025, and the segment is expected to grow at a CAGR of 23% from 2026 to 2035.
Based on deployment mode, infrastructure as code market is segmented into cloud-based, on-premises. Cloud-based segment dominates the market, accounting for 82.8% in 2025, and the segment is expected to grow at a CAGR of 24.8% from 2026 to 2035.
U.S. infrastructure as code market reached USD 303.6 million in 2025, with a CAGR of 23.9% from 2026 to 2035.
North America dominated the infrastructure as code market with a market size of USD 350.2 million in 2025.
Europe infrastructure as code market accounted for a share of 28.6% and generated revenue of USD 288.6 million in 2025.
Germany dominates the infrastructure as code industry, showcasing strong growth potential, with a CAGR of 24.9% from 2026 to 2035.
The Asia Pacific infrastructure as code market is anticipated to grow at the highest CAGR of 25.5% from 2026 to 2035 and generated revenue of USD 248.4 million in 2025.
China market is estimated to grow with a CAGR of 26.6% from 2026 to 2035.
Latin America market shows lucrative growth over the forecast period.
Brazil infrastructure as code market is estimated to grow with a CAGR of 22.9% from 2026 to 2035 and reach USD 189.5 million in 2035.
Middle East and Africa market accounted for USD 55.9 million in 2025 and is anticipated to show lucrative growth over the forecast period.
Saudi Arabia market is expected to experience substantial growth in the Middle East and Africa infrastructure as code market, with a CAGR of 22.4% from 2026 to 2035.
Infrastructure as Code Market Share
The top 7 companies in the infrastructure as code IBM (HashiCorp + Red Hat), AWS, Palo Alto Networks, Microsoft, Progress Software (Chef), GitLab, Pulumi contributing 91.5% of the market in 2025.
Infrastructure as Code Market Companies
Major players operating in the infrastructure as code industry are:
47.3% market share
Collective market share in 2025 is 86.7%
Infrastructure as Code Industry News
The infrastructure as code market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($ Mn/Bn) from 2022 to 2035, for the following segments:
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Market, By Component
Software
Configuration management
Market, By Infrastructure
Mutable infrastructure
Immutable infrastructure
Market, By Approach
Declarative
Imperative
Market, By Deployment Mode
Cloud-based
On-premises
Market, By Organization Size
Large Enterprises
SMEs
Market, By End Use
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
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Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
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Verified data sources
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Regulatory filings
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Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →