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Strong Growth Ahead: Generative Artificial Intelligence In Development And Operations (DevOps) Market Size To Grow At Arecord 38% Cagr By 2029

05-20-2025 08:08 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Generative Artificial Intelligence In Development And Operations (DevOps)

Generative Artificial Intelligence In Development And Operations (DevOps)

The Generative Artificial Intelligence In Development And Operations (DevOps) Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

How Big Is the Generative Artificial Intelligence In Development And Operations (DevOps) Market Size Expected to Be by 2034?
In recent times, the size of the market for generative artificial intelligence in development and operations (DevOps) has seen substantial expansion. It is projected to surge from $1.88 billion in 2024 to $2.58 billion in 2025, with a compound annual growth rate (CAGR) of 37.4%. The growth experienced in the past is attributed to factors such as a surge in demand for automation in software development, increased adoption of DevOps practices, a pressing need for quicker software development cycles, heightened attention to quality assurance and testing, and a burgeoning need for improved collaboration within development and operations teams.

The market size for generative artificial intelligence in development and operations (DevOps) is projected to experience a substantial increase in the forTH*Coming years. It's expected to escalate to $9.36 billion by 2029, reflecting a compound annual growth rate (CAGR) of 38.0%. This predicted surge during the forecast period is linked to the escalating fascination with cloud computing, the progressive advancement of machine learning tactics, the increasing allure of AI-fueled development tools and platforms, a growing demand for scalable and adaptable software solutions, and an escalating requirement for real-time scrutiny and analytics. Noteworthy trends during this forecast period comprise the acceptance of AI-propelled automation, the fusion of AI with devops apparatus, AI-enabled continuous integration, AI-propelled continuous trial, self-repairing systems.

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What Are the Emerging Segments Within the Generative Artificial Intelligence In Development And Operations (DevOps) Market?
The generative artificial intelligence in development and operations (DevOps) market covered in this report is segmented -

1) By Component: Solutions, Services
2) 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) Tools
2) By Services: AI Implementation Services, AI Training And Consulting Services, Managed Services, Integration Services, Support And Maintenance Services

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What Long-Term Drivers Are Shaping Generative Artificial Intelligence In Development And Operations (DevOps) Market Trends?
The growth of the generative artificial intelligence in development and operations (DevOps) market is expected to be fuelled by the increasing acceptance of cloud computing. Cloud computing provides various computer services via the internet, such as networking, servers, databases, data storage, software, analytics among others. The upsurge in demand for cloud computing can be attributed to factors like the adoption of new technologies, a scalable and flexible IT structure, and the enhancement of efficiency. Generative AI simplifies security and compliance responsibilities in cloud settings by creating security policies, inspecting configurations for compliance breaches, and identifying unusual patterns that suggest security risks. For example, as per the European Commission (EC), in December 2023, the uptake of cloud-based solutions in the European Union rose by 4.2% in 2023. About 45.2% of enterprises were patrons of cloud computing services, reflecting a significant increase compared to 2021. Hence, the escalating adoption of cloud computing is propelling the growth of the generative artificial intelligence in development and operations (DevOps) market.

Who Are the Top Competitors in Key Generative Artificial Intelligence In Development And Operations (DevOps) Market Segments?
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., accen*ture 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.

What Generative Artificial Intelligence In Development And Operations (DevOps) Market Trends Are Gaining Traction Across Different Segments?
Leading firms in the generative artificial intelligence in development and operations (DevOps) market are prioritizing the creation of innovative technology such as AI-powered software development tools. These tools use artificial intelligence (AI) and machine learning (ML) algorithms to streamline the development process and enhance the end product's quality. For example, in February 2024, Leidos Holdings, Inc., an American engineering firm, and Sourcegraph, Inc., a US-based software development firm specializing in code search and code comprehension tools, rolled out AI-powered software development solutions designed for government clients. The primary goal of this partnership is to supply government bodies with state-of-the-art tools leveraging generative artificial intelligence to refine software development procedures and deliver secure software for several federal missions, including military command and control and air traffic management.

Get the full report for exclusive industry analysis:
https://www.thebusinessresearchcompany.com/report/generative-artificial-intelligence-in-development-and-operations-devops-global-market-report

Which Regions Are Becoming Hubs for Generative Artificial Intelligence In Development And Operations (DevOps) Market Innovation?
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.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Generative Artificial Intelligence In Development And Operations (DevOps) Market?
2. What is the CAGR expected in the Generative Artificial Intelligence In Development And Operations (DevOps) Market?
3. What Are the Key Innovations Transforming the Generative Artificial Intelligence In Development And Operations (DevOps) Industry?
4. Which Region Is Leading the Generative Artificial Intelligence In Development And Operations (DevOps) Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

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Learn More About The Business Research Company
With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

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