This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
The generative artificial intelligence in development and operations (DevOps) market size has grown exponentially in recent years. It will grow from $1.88 billion in 2024 to $2.58 billion in 2025 at a compound annual growth rate (CAGR) of 37.4%. The growth in the historic period can be attributed to increased demand for automation in the software development process, growth in the adoption of DevOps practices, increased need for faster software development cycles, increased focus on quality assurance and testing, growth in need for better collaboration between development and operations teams.
The generative artificial intelligence in development and operations (DevOps) market size is expected to see exponential growth in the next few years. It will grow to $9.36 billion in 2029 at a compound annual growth rate (CAGR) of 38%. The growth in the forecast period can be attributed to increasing popularity of cloud computing, growing development of machine learning techniques, rising popularity of AI-powered development tools and platforms, growing need for scalable and flexible software solutions, growing need for real-time monitoring and analytics. Major trends in the forecast period include adoption of AI-driven automation, integration of AI with devops tools, AI-powered continuous integration, AI-driven continuous testing, self-healing systems.
The generative artificial intelligence in Development and Operations (DevOps) market is poised for growth, primarily propelled by the increasing adoption of cloud computing. Cloud computing, offering a range of computer services over the internet, including data storage, servers, databases, networking, and analytics, is experiencing heightened demand. This surge can be attributed to factors such as the adoption of new technologies, the need for a scalable and flexible IT infrastructure, and a drive towards improved operational efficiency. Generative AI plays a crucial role in automating security and compliance tasks within cloud environments, generating security policies, analyzing configurations for compliance violations, and detecting anomalous behavior indicative of security threats. According to the European Commission (EC), the adoption of cloud-based solutions in the European Union increased by 4.2% in 2023, with 45.2% of enterprises purchasing cloud computing services, marking a significant surge compared to 2021. The rising adoption of cloud computing is a key driver behind the growth of the generative artificial intelligence in DevOps market.
Leading companies in the generative artificial intelligence in DevOps market are actively focusing on the development of innovative technologies, such as AI-enabled software development tools. These tools leverage artificial intelligence (AI) and machine learning (ML) algorithms to assist developers in various aspects of the software development process. In February 2024, Leidos Holdings, Inc., and Source graph, Inc. collaborated to launch AI-enabled software development solutions for government customers. This strategic partnership aims to provide government agencies with advanced tools utilizing generative artificial intelligence to enhance software development processes and ensure secure software delivery across various federal missions, including military command and control and air traffic management.
In November 2023, Broadcom Inc., a semiconductor and infrastructure software solutions provider, acquired VMware LLC for an undisclosed amount. This acquisition positions Broadcom to leverage VMware's expertise in virtualization and cloud computing, potentially incorporating generative AI technologies into their DevOps processes. The collaboration is expected to enhance the capabilities of both companies in the competitive DevOps market. VMware LLC, known for its cloud computing and virtualization technology, contributes to advancing enterprise adoption of generative artificial intelligence.
Major companies operating in the generative artificial intelligence in development and operations (DevOps) market are Google LLC, Microsoft Corporation, Dell Technologies Inc., Amazon Web Services Inc., Accenture plc, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Deloitte Touche Tohmatsu Limited, Tata Consultancy Services Limited, NVIDIA Corporation, Capgemini SE, Cognizant, Wipro Limited, NetApp Inc., Atlassian Corporation, Splunk Inc., NICE Ltd., Progress Software Corporation, HashiCorp Inc., DataRobot Inc., Docker Inc., CloudBees Inc., H2O.ai, Perforce Software Inc., Red Hat Inc.
North America was the largest region in the generative artificial intelligence in development and operations (Devops) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence in development and operations (devops) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence in development and operations (devops) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The generative artificial intelligence in development and operations (DevOps) market includes revenues earned by entities by providing services such as automated code generation, infrastructure optimization, anomaly detection. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
Generative artificial intelligence in development and operations (DevOps) involves incorporating AI-powered generative models into the processes and workflows of DevOps. DevOps is a methodology that prioritizes collaboration, automation, and integration among software development and IT operations teams to improve the speed and quality of software delivery. By integrating generative AI, which has the capability to create new content, code, or solutions based on patterns and input data, organizations can enhance the efficiency and innovation within their DevOps practices. This integration aims to streamline development processes, automate repetitive tasks, and ultimately contribute to more effective and accelerated software delivery.
The main components of generative artificial intelligence in development and operations (DevOps) encompass solutions and services. Solutions refer to a diverse range of tools, techniques, and applications that leverage AI technologies to augment DevOps workflows and enhance overall efficiency. These solutions are designed for various stages in the DevOps lifecycle, including testing, deployment, monitoring, maintenance, and other essential functions. Deployment models include both on-premise and cloud-based options, providing flexibility in the implementation of generative AI technologies within the DevOps environment.
The generative artificial intelligence in development and operations (DevOps) market research report is one of a series of new reports that provides generative artificial intelligence in development and operations (DevOps) market statistics, including generative artificial intelligence in development and operations (Devops) industry global market size, regional shares, competitors with generative artificial intelligence in development and operations (Devops) market share, detailed generative artificial intelligence in development and operations (DevOps) market segments, market trends, and opportunities, and any further data you may need to thrive in the generative artificial intelligence in development and operations (DevOps) industry. This generative artificial intelligence in development and operations (DevOps) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The generative artificial intelligence in development and operations (DevOps) market size has grown exponentially in recent years. It will grow from $1.88 billion in 2024 to $2.58 billion in 2025 at a compound annual growth rate (CAGR) of 37.4%. The growth in the historic period can be attributed to increased demand for automation in the software development process, growth in the adoption of DevOps practices, increased need for faster software development cycles, increased focus on quality assurance and testing, growth in need for better collaboration between development and operations teams.
The generative artificial intelligence in development and operations (DevOps) market size is expected to see exponential growth in the next few years. It will grow to $9.36 billion in 2029 at a compound annual growth rate (CAGR) of 38%. The growth in the forecast period can be attributed to increasing popularity of cloud computing, growing development of machine learning techniques, rising popularity of AI-powered development tools and platforms, growing need for scalable and flexible software solutions, growing need for real-time monitoring and analytics. Major trends in the forecast period include adoption of AI-driven automation, integration of AI with devops tools, AI-powered continuous integration, AI-driven continuous testing, self-healing systems.
The generative artificial intelligence in Development and Operations (DevOps) market is poised for growth, primarily propelled by the increasing adoption of cloud computing. Cloud computing, offering a range of computer services over the internet, including data storage, servers, databases, networking, and analytics, is experiencing heightened demand. This surge can be attributed to factors such as the adoption of new technologies, the need for a scalable and flexible IT infrastructure, and a drive towards improved operational efficiency. Generative AI plays a crucial role in automating security and compliance tasks within cloud environments, generating security policies, analyzing configurations for compliance violations, and detecting anomalous behavior indicative of security threats. According to the European Commission (EC), the adoption of cloud-based solutions in the European Union increased by 4.2% in 2023, with 45.2% of enterprises purchasing cloud computing services, marking a significant surge compared to 2021. The rising adoption of cloud computing is a key driver behind the growth of the generative artificial intelligence in DevOps market.
Leading companies in the generative artificial intelligence in DevOps market are actively focusing on the development of innovative technologies, such as AI-enabled software development tools. These tools leverage artificial intelligence (AI) and machine learning (ML) algorithms to assist developers in various aspects of the software development process. In February 2024, Leidos Holdings, Inc., and Source graph, Inc. collaborated to launch AI-enabled software development solutions for government customers. This strategic partnership aims to provide government agencies with advanced tools utilizing generative artificial intelligence to enhance software development processes and ensure secure software delivery across various federal missions, including military command and control and air traffic management.
In November 2023, Broadcom Inc., a semiconductor and infrastructure software solutions provider, acquired VMware LLC for an undisclosed amount. This acquisition positions Broadcom to leverage VMware's expertise in virtualization and cloud computing, potentially incorporating generative AI technologies into their DevOps processes. The collaboration is expected to enhance the capabilities of both companies in the competitive DevOps market. VMware LLC, known for its cloud computing and virtualization technology, contributes to advancing enterprise adoption of generative artificial intelligence.
Major companies operating in the generative artificial intelligence in development and operations (DevOps) market are Google LLC, Microsoft Corporation, Dell Technologies Inc., Amazon Web Services Inc., Accenture plc, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Deloitte Touche Tohmatsu Limited, Tata Consultancy Services Limited, NVIDIA Corporation, Capgemini SE, Cognizant, Wipro Limited, NetApp Inc., Atlassian Corporation, Splunk Inc., NICE Ltd., Progress Software Corporation, HashiCorp Inc., DataRobot Inc., Docker Inc., CloudBees Inc., H2O.ai, Perforce Software Inc., Red Hat Inc.
North America was the largest region in the generative artificial intelligence in development and operations (Devops) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence in development and operations (devops) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence in development and operations (devops) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The generative artificial intelligence in development and operations (DevOps) market includes revenues earned by entities by providing services such as automated code generation, infrastructure optimization, anomaly detection. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
Generative artificial intelligence in development and operations (DevOps) involves incorporating AI-powered generative models into the processes and workflows of DevOps. DevOps is a methodology that prioritizes collaboration, automation, and integration among software development and IT operations teams to improve the speed and quality of software delivery. By integrating generative AI, which has the capability to create new content, code, or solutions based on patterns and input data, organizations can enhance the efficiency and innovation within their DevOps practices. This integration aims to streamline development processes, automate repetitive tasks, and ultimately contribute to more effective and accelerated software delivery.
The main components of generative artificial intelligence in development and operations (DevOps) encompass solutions and services. Solutions refer to a diverse range of tools, techniques, and applications that leverage AI technologies to augment DevOps workflows and enhance overall efficiency. These solutions are designed for various stages in the DevOps lifecycle, including testing, deployment, monitoring, maintenance, and other essential functions. Deployment models include both on-premise and cloud-based options, providing flexibility in the implementation of generative AI technologies within the DevOps environment.
The generative artificial intelligence in development and operations (DevOps) market research report is one of a series of new reports that provides generative artificial intelligence in development and operations (DevOps) market statistics, including generative artificial intelligence in development and operations (Devops) industry global market size, regional shares, competitors with generative artificial intelligence in development and operations (Devops) market share, detailed generative artificial intelligence in development and operations (DevOps) market segments, market trends, and opportunities, and any further data you may need to thrive in the generative artificial intelligence in development and operations (DevOps) industry. This generative artificial intelligence in development and operations (DevOps) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Generative Artificial Intelligence in Development and Operations (DevOps) Market Characteristics3. Generative Artificial Intelligence in Development and Operations (DevOps) Market Trends and Strategies4. Generative Artificial Intelligence in Development and Operations (DevOps) Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, Covid and Recovery on the Market32. Global Generative Artificial Intelligence in Development and Operations (DevOps) Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the Generative Artificial Intelligence in Development and Operations (DevOps) Market34. Recent Developments in the Generative Artificial Intelligence in Development and Operations (DevOps) Market
5. Global Generative Artificial Intelligence in Development and Operations (DevOps) Growth Analysis and Strategic Analysis Framework
6. Generative Artificial Intelligence in Development and Operations (DevOps) Market Segmentation
7. Generative Artificial Intelligence in Development and Operations (DevOps) Market Regional and Country Analysis
8. Asia-Pacific Generative Artificial Intelligence in Development and Operations (DevOps) Market
9. China Generative Artificial Intelligence in Development and Operations (DevOps) Market
10. India Generative Artificial Intelligence in Development and Operations (DevOps) Market
11. Japan Generative Artificial Intelligence in Development and Operations (DevOps) Market
12. Australia Generative Artificial Intelligence in Development and Operations (DevOps) Market
13. Indonesia Generative Artificial Intelligence in Development and Operations (DevOps) Market
14. South Korea Generative Artificial Intelligence in Development and Operations (DevOps) Market
15. Western Europe Generative Artificial Intelligence in Development and Operations (DevOps) Market
16. UK Generative Artificial Intelligence in Development and Operations (DevOps) Market
17. Germany Generative Artificial Intelligence in Development and Operations (DevOps) Market
18. France Generative Artificial Intelligence in Development and Operations (DevOps) Market
19. Italy Generative Artificial Intelligence in Development and Operations (DevOps) Market
20. Spain Generative Artificial Intelligence in Development and Operations (DevOps) Market
21. Eastern Europe Generative Artificial Intelligence in Development and Operations (DevOps) Market
22. Russia Generative Artificial Intelligence in Development and Operations (DevOps) Market
23. North America Generative Artificial Intelligence in Development and Operations (DevOps) Market
24. USA Generative Artificial Intelligence in Development and Operations (DevOps) Market
25. Canada Generative Artificial Intelligence in Development and Operations (DevOps) Market
26. South America Generative Artificial Intelligence in Development and Operations (DevOps) Market
27. Brazil Generative Artificial Intelligence in Development and Operations (DevOps) Market
28. Middle East Generative Artificial Intelligence in Development and Operations (DevOps) Market
29. Africa Generative Artificial Intelligence in Development and Operations (DevOps) Market
30. Generative Artificial Intelligence in Development and Operations (DevOps) Market Competitive Landscape and Company Profiles
31. Generative Artificial Intelligence in Development and Operations (DevOps) Market Other Major and Innovative Companies
35. Generative Artificial Intelligence in Development and Operations (DevOps) Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Generative Artificial Intelligence In Development And Operations (DevOps) Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on generative artificial intelligence in development and operations (devops) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative artificial intelligence in development and operations (devops)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence in development and operations (devops) market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Component: Solutions; Services2) By Deployment Mode: On-premise; Cloud-based
3) By Application: Testing; Deployment; Monitoring; Maintenance; Other Applications
Subsegments:
1) By Solutions: AI-Powered Automation Tools; AI-Driven Development Platforms; Predictive Analytics Tools; Code Generation Tools; AI-Enhanced Testing Solutions; Continuous Integration Or Continuous Deployment (CI Or CD) Tools2) By Services: AI Implementation Services; AI Training And Consulting Services; Managed Services; Integration Services; Support And Maintenance Services
Key Companies Mentioned: Google LLC; Microsoft Corporation; Dell Technologies Inc.; Amazon Web Services Inc.; Accenture plc
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
Some of the major companies featured in this Generative Artificial Intelligence in Development and Operations (DevOps) market report include:- Google LLC
- Microsoft Corporation
- Dell Technologies Inc.
- Amazon Web Services Inc.
- Accenture plc
- International Business Machines Corporation
- Cisco Systems Inc.
- Oracle Corporation
- Deloitte Touche Tohmatsu Limited
- Tata Consultancy Services Limited
- NVIDIA Corporation
- Capgemini SE
- Cognizant
- Wipro Limited
- NetApp Inc.
- Atlassian Corporation
- Splunk Inc.
- NICE Ltd.
- Progress Software Corporation
- HashiCorp Inc.
- DataRobot Inc.
- Docker Inc.
- CloudBees Inc.
- H2O.ai
- Perforce Software Inc.
- Red Hat Inc.
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 200 |
Published | March 2025 |
Forecast Period | 2025 - 2029 |
Estimated Market Value ( USD | $ 2.58 Billion |
Forecasted Market Value ( USD | $ 9.36 Billion |
Compound Annual Growth Rate | 38.0% |
Regions Covered | Global |
No. of Companies Mentioned | 26 |