Generative Artificial Intelligence In Development And Operations (DevOps) Market Size and Industry Growth in 2025: Key Changes and Transformations

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What are the key drivers behind the generative artificial intelligence in development and operations (devops) market’s growth in recent years?

The rising adoption of cloud computing is expected to propel the growth of the generative artificial intelligence in development and operations (DevOps) market going forward. Cloud computing provides computer services through the internet, such as data storage, servers, databases, networking, software, analytics, and more. The demand for cloud computing is rising due to several factors, including adopting new technologies, a scalable and flexible IT infrastructure, and improving efficiency. Generative AI automates security and compliance tasks in cloud environments by generating security policies, analyzing configurations for compliance violations, and detecting anomalous behavior indicative of security threats. For instance, in December 2023, according to the European Commission (EC), the Belgium-based executive body of the European Union (EU), 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, indicating a significant surge compared to 2021. Therefore, the rising adoption of cloud computing is driving the growth of the generative artificial intelligence in development and operations (DevOps) market.

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How does the future projection of the generative artificial intelligence in development and operations (devops) market size compare to its historical growth?

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 38.0%. 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.

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Which key players are shaping the future of the generative artificial intelligence in development and operations (devops) market?

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.

What trends will propel the growth and evolution of the generative artificial intelligence in development and operations (devops) market?

Major companies operating in the generative artificial intelligence in development and operations (DevOps) market are focusing on developing innovative technology, such as AI-enabled software development tools, to streamline the development process and improve the quality of the final product. AI-enabled software development tools leverage artificial intelligence (AI) and machine learning (ML) algorithms to assist developers in various aspects of software development. For instance, in February 2024, Leidos Holdings, Inc., a US-based engineering company, and Sourcegraph, Inc., a US-based software development company that develops code search and code intelligence tools, launched AI-enabled software development solutions for government customers. This collaboration aims to provide government agencies with advanced tools that use generative artificial intelligence to improve software development processes and ensure secure software delivery across multiple federal missions, such as military command and control and air traffic management.

Which regions are expected to become dominant players in the generative artificial intelligence in development and operations (devops) market?

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.

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What are the emerging key segments in the generative artificial intelligence in development and operations (devops) market, and how are they evolving?

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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How is the generative artificial intelligence in development and operations (devops) market defined, and what are its core characteristics?

Generative artificial intelligence in development and operations (DevOps) refers to the integration of AI-powered generative models into DevOps processes and workflows. DevOps is a methodology that emphasizes collaboration, automation, and integration among software development and IT operations teams to enhance the speed and quality of software delivery.

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