Infrastructure as Code Market

Infrastructure as Code Market



Growth Factors of Infrastructure as Code Market

The infrastructure as code market size was valued at USD 759.1 million in 2022, and the market is now projected to grow from USD 908.7 million in 2023 to USD 3304.9 million by 2030, exhibiting a CAGR of 20.3% during the forecast period of 2023-2030.

The COVID-19 pandemic had a distressing influence on numerous economies throughout the world. The pandemic interrupted resource and the supply of goods and services and harshly impacted the implementation of IaC solutions. During the global pandemic, digital technology turn into a vital enabler of connectivity along with augmented expenses on the improvement of IT infrastructure to enhance the organization’s resources, comprising physical and cloud infrastructure.

Dealing the multi-cloud infrastructure comprises IaC tools, such as Terra form and Cloud formation, which benefit to set up numerous resources through different cloud suppliers constantly. It also benefits to decrease the threats and faults by adapting the code to automate the configuration procedures and to normalize the multi-cloud arrangements. The use of IaC tools in multi-cloud infrastructure benefits to develop network visibility and update server position. IaC lets the establishment’s infrastructure formation to be routinely uniform and scaled. IaC tools can also be used as real-time monitoring solutions through an organization's complete IT infrastructure. Hence, the incorporation of IaC tools with multi-cloud infrastructure motivates the infrastructure as code market growth during the prediction period.

The growing incorporation of Artificial Intelligence (AI) technology with infrastructure as code eradicates the necessity for manual coding. It lets the workers to make and keep informed their infrastructure effortlessly through the command line. Incorporating AI and ML technologies benefits to increase operational competence, shorten procedures, and motivate digital transformation between enterprises. The AI-integrated IaC tools can integrate constant incorporation and constant supply of CI/CD pipelines, which permits for automated building, analysis, and deployment of code.

Comprehensive Analysis of Infrastructure as Code Market

The market can be segmented in various ways, depending on the focus of analysis such as by deployment, by infrastructure type, by approach, and by end-user. Based on deployment, the market is divided into cloud-based and on-premises. Based on infrastructure type, the market is divided into mutable infrastructure and immutable infrastructure. By approach, the market is divided into imperative and declarative. Based on end-user, the market is segmented into BFSI, retail, government, manufacturing, IT & telecom, healthcare, and others.

North America region is dominating the infrastructure as code market share due to occurrence of a huge number of infrastructure as code tool suppliers across the region. Increasing ICT spending on digitalizing the infrastructure management processes of diverse industries to automate the IT functions and enhance the output of companies.

The key players are enthusiastically contributing in planned events that are targeted at maintaining durable market position and growing market share by merger, partnerships and others. These players include Microsoft Corporation (U.S.), HashiCorp, Inc. (U.S.), Snyk Limited (U.S.), Cisco Systems, Inc. (U.S.), Amazon Web Services, Inc. (U.S.), Zscaler, Inc. (U.S.), Progress Software Corporation (Chef) (U.S.), Red Hat, Inc. (U.S.), Pulumi Corporation (U.S.), Hewlett Packard Enterprise Development LP (U.S.) these market players spending severely on research and development in order to arise with more new technology so that they can maintain and improve their existing market.

In October 2023, Pulumi Corporation raised USD 41 million in funding to grow infrastructure-as-code automation in the cloud to accelerate improvement in its open-source platform. Pulumi will use this investment to update its open-source platform to deliver easy access to cloud infrastructure to all operator.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2017-2030

Base Year 2022

Estimated Year 2023

Forecast Period 2023-2030

Historical Period 2017-2021

Growth Rate CAGR of 20.3% from 2023 to 2030

Unit Value (USD Million)

Segmentation By Deployment

Cloud-based

On-premises

By Infrastructure Type

Mutable Infrastructure

Immutable Infrastructure

By Approach

Imperative

Declarative

By End-user

BFSI

Retail

Government

Manufacturing

IT & Telecom

Healthcare

Others (Energy & Utilities)

By Region

North America (By Deployment, Infrastructure Type, Approach, End-user, and Country)

U.S. (By End-user)

Canada (By End-user)

Mexico (By End-user)

Europe (By Deployment, Infrastructure Type, Approach, End-user, and Country)

U.K. (By End-user)

Germany (By End-user)

France (By End-user)

Italy (By End-user)

Spain (By End-user)

Russia (By End-user)

Benelux (By End-user)

Nordics (By End-user)

Rest of Europe

Asia Pacific (By Deployment, Infrastructure Type, Approach, End-user, and Country)

China (By End-user)

Japan (By End-user)

India (By End-user)

South Korea (By End-user)

ASEAN (By End-user)

Oceania (By End-user)

Rest of Asia Pacific

Middle East & Africa (By Deployment, Infrastructure Type, Approach, End-user, and Country)

Turkey (By End-user)

Israel (By End-user)

GCC (By End-user)

North Africa (By End-user)

South Africa (By End-user)

Rest of the Middle East & Africa

South America (By Deployment, Infrastructure Type, Approach, End-user, and Country)

Brazil (By End-user)

Argentina (By End-user)

Rest of South America


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of COVID-19
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Infrastructure as Code Key Players Market Share/Ranking, 2022
5. Global Infrastructure as Code Market Size Estimates and Forecasts, By Segments, 2017-2030
5.1. Key Findings
5.2. By Deployment (USD)
5.2.1. Cloud-based
5.2.2. On-premises
5.3. By Infrastructure Type (USD)
5.3.1. Mutable Infrastructure
5.3.2. Immutable Infrastructure
5.4. By Approach (USD)
5.4.1. Imperative
5.4.2. Declarative
5.5. By End-user (USD)
5.5.1. BFSI
5.5.2. Retail
5.5.3. Government
5.5.4. Manufacturing
5.5.5. IT & Telecom
5.5.6. Healthcare
5.5.7. Others (Energy & Utilities)
5.6. By Region (USD)
5.6.1. North America
5.6.2. Europe
5.6.3. Asia Pacific
5.6.4. Middle East & Africa
5.6.5. South America
6. North America Infrastructure as Code Market Size Estimates and Forecasts, By Segments, 2017-2030
6.1. Key Findings
6.2. By Deployment (USD)
6.2.1. Cloud-based
6.2.2. On-premises
6.3. By Infrastructure Type (USD)
6.3.1. Mutable Infrastructure
6.3.2. Immutable Infrastructure
6.4. By Approach (USD)
6.4.1. Imperative
6.4.2. Declarative
6.5. By End-user (USD)
6.5.1. BFSI
6.5.2. Retail
6.5.3. Government
6.5.4. Manufacturing
6.5.5. IT & Telecom
6.5.6. Healthcare
6.5.7. Others (Energy & Utilities)
6.6. By Country (USD)
6.6.1. United States
6.6.1.1. By End-user
6.6.2. Canada
6.6.2.1. By End-user
6.6.3. Mexico
6.6.3.1. By End-user
7. Europe Infrastructure as Code Market Size Estimates and Forecasts, By Segments, 2017-2030
7.1. Key Findings
7.2. By Deployment (USD)
7.2.1. Cloud-based
7.2.2. On-premises
7.3. By Infrastructure Type (USD)
7.3.1. Mutable Infrastructure
7.3.2. Immutable Infrastructure
7.4. By Approach (USD)
7.4.1. Imperative
7.4.2. Declarative
7.5. By End-user (USD)
7.5.1. BFSI
7.5.2. Retail
7.5.3. Government
7.5.4. Manufacturing
7.5.5. IT & Telecom
7.5.6. Healthcare
7.5.7. Others (Energy & Utilities))
7.6. By Country (USD)
7.6.1. United Kingdom
7.6.1.1. By End-user
7.6.2. Germany
7.6.2.1. By End-user
7.6.3. France
7.6.3.1. By End-user
7.6.4. Italy
7.6.4.1. By End-user
7.6.5. Spain
7.6.5.1. By End-user
7.6.6. Russia
7.6.6.1. By End-user
7.6.7. Benelux
7.6.7.1. By End-user
7.6.8. Nordics
7.6.8.1. By End-user
7.6.9. Rest of Europe
8. Asia Pacific Infrastructure as Code Market Size Estimates and Forecasts, By Segments, 2017-2030
8.1. Key Findings
8.2. By Deployment (USD)
8.2.1. Cloud-based
8.2.2. On-premises
8.3. By Infrastructure Type (USD)
8.3.1. Mutable Infrastructure
8.3.2. Immutable Infrastructure
8.4. By Approach (USD)
8.4.1. Imperative
8.4.2. Declarative
8.5. By End-user (USD)
8.5.1. BFSI
8.5.2. Retail
8.5.3. Government
8.5.4. Manufacturing
8.5.5. IT & Telecom
8.5.6. Healthcare
8.5.7. Others (Energy & Utilities)
8.6. By Country (USD)
8.6.1. China
8.6.1.1. By End-user
8.6.2. Japan
8.6.2.1. By End-user
8.6.3. India
8.6.3.1. By End-user
8.6.4. South Korea
8.6.4.1. By End-user
8.6.5. ASEAN
8.6.5.1. By End-user
8.6.6. Oceania
8.6.6.1. By End-user
8.6.7. Rest of Asia Pacific
9. Middle East & Africa Infrastructure as Code Market Size Estimates and Forecasts, By Segments, 2017-2030
9.1. Key Findings
9.2. By Deployment (USD)
9.2.1. Cloud-based
9.2.2. On-premises
9.3. By Infrastructure Type (USD)
9.3.1. Mutable Infrastructure
9.3.2. Immutable Infrastructure
9.4. By Approach (USD)
9.4.1. Imperative
9.4.2. Declarative
9.5. By End-user (USD)
9.5.1. BFSI
9.5.2. Retail
9.5.3. Government
9.5.4. Manufacturing
9.5.5. IT & Telecom
9.5.6. Healthcare
9.5.7. Others (Energy & Utilities)
9.6. By Country (USD)
9.6.1. Turkey
9.6.1.1. By End-user
9.6.2. Israel
9.6.2.1. By End-user
9.6.3. GCC
9.6.3.1. By End-user
9.6.4. North Africa
9.6.4.1. By End-user
9.6.5. South Africa
9.6.5.1. By End-user
9.6.6. Rest of MEA
10. South America Infrastructure as Code Market Size Estimates and Forecasts, By Segments, 2017-2030
10.1. Key Findings
10.2. By Deployment (USD)
10.2.1. Cloud-based
10.2.2. On-premises
10.3. By Infrastructure Type (USD)
10.3.1. Mutable Infrastructure
10.3.2. Immutable Infrastructure
10.4. By Approach (USD)
10.4.1. Imperative
10.4.2. Declarative
10.5. By End-user (USD)
10.5.1. BFSI
10.5.2. Retail
10.5.3. Government
10.5.4. Manufacturing
10.5.5. IT & Telecom
10.5.6. Healthcare
10.5.7. Others (Energy & Utilities)
10.6. By Country (USD)
10.6.1. Brazil
10.6.1.1. By End-user
10.6.2. Argentina
10.6.2.1. By End-user
10.6.3. Rest of South America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Microsoft Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Hashicorp, Inc.
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Progress Software Corporation (Chef)
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Cisco Systems, Inc.
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Red Hat, Inc.
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Zscaler, Inc.
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Snyk Limited
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Pulumi Corporation
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Hewlett Packard Enterprise Development LP
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Amazon Web Services, Inc.
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways

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