Press release
Generative Artificial Intelligence In Development And Operations (DevOps) Market Set to Reach $9.36 Billion by 2029 with 38% Yearly Growth
How Are the key drivers contributing to the expansion of the generative artificial intelligence in development and operations (devops) market?The growth of the generative artificial intelligence in development and operations (DevOps) market is expected to be spurred ahead by the increasing adoption of cloud computing. Offering a myriad of computer services over the internet, like data storage, servers, databases, analytics, software, and networking, the demand for cloud computing is seeing a surge. The reasons behind this increase vary from the advent of new technologies, the need for flexible and scalable IT infrastructure, and the pursuit of enhanced efficiency. Through the generation of security policies, compliance violation configuration analysis, and detection of irregular behaviors linked to security threats, generative AI can automate security and compliance assignments in cloud atmospheres. A case in point is the 4.2% increase in the adoption of cloud-based solutions in the European Union as of December 2023, as reported by the European Commission (EC), the Belgium-based executive body of the European Union (EU). The report further pointed out that with 45.2% of enterprises procuring cloud computing services, there was a noteworthy leap compared to the numbers in 2021. Consequently, the generative artificial intelligence in development and operations (DevOps) market is being buoyed by the accelerated adoption of cloud computing.
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What growth opportunities are expected to drive the generative artificial intelligence in development and operations (devops) market's CAGR through 2034?
The market size for generative artificial intelligence in development and operations (DevOps) has seen a considerable growth rate recently. It's projected to increase from $1.88 billion in 2024 to $2.58 billion in 2025, thus registering a compound annual growth rate (CAGR) of 37.4%. The historic growth has been driven by the heightened demand for automating software development processes, elevated adoption of DevOps best practices, a pressing requirement for quicker software development cycles, an intensified focus on testing and quality assurance, and a growing need for improved collaboration within DevOps teams.
The market for generative artificial intelligence in development and operations (DevOps) is set for a massive expansion in the coming years. It will rise to a staggering $9.36 billion by 2029, with an impressive compound annual growth rate (CAGR) of 38.0%. The growth during this projected period is predicted due to the surging popularity of cloud computing, advancements in machine learning techniques, increased use of AI-powered development tools and platforms, escalating need for adaptable and scalable software solutions, and the rising necessity for real-time monitoring and analytics. The future trends of this prediction period include wide-scale adoption of AI-based automation, amalgamation of AI with devops tools, continuous integration facilitated by AI, AI-guided continuous testing, and self-healing systems.
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What are the most significant trends transforming the generative artificial intelligence in development and operations (devops) market today?
Main players in the generative artificial intelligence in development and operations (DevOps) market, such as AI-enabled software development tools creators, are focusing their efforts on fostering innovation to refine the development process and enhance the end product's quality. These tools utilize artificial intelligence (AI) and machine learning (ML) methodologies to aid developers in different aspects of software creation. For example, in February 2024, Leidos Holdings, Inc., an American engineering firm, in collaboration with Sourcegraph, Inc., an American software development company known for developing code search and intelligence tools, launched AI-driven software development solutions specially designed for government clients. The aim of this partnership is to equip government agencies with advanced generative artificial intelligence tools to refine their software development processes, and bolster secure software delivery across various federal operations, including military command, control, and air traffic management.
Which growth-oriented segments of the generative artificial intelligence in development and operations (devops) market are leading the industry's development?
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 regions are leading the charge 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.
What companies are at the forefront of innovation in 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.
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What Is Covered In The Generative Artificial Intelligence In Development And Operations (DevOps) Global Market Report?
• Market Size Forecast: Examine the generative artificial intelligence in development and operations (devops) market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the generative artificial intelligence in development and operations (devops) market for a structured understanding.
• Key Players Overview: Analyze major players in the generative artificial intelligence in development and operations (devops) market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the generative artificial intelligence in development and operations (devops) market.
• Segment Contributions: Evaluate how different segments drive overall growth in the generative artificial intelligence in development and operations (devops) market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the generative artificial intelligence in development and operations (devops) market.
• Industry Challenges: Identify potential risks and obstacles affecting the generative artificial intelligence in development and operations (devops) market.
• Competitive Landscape: Review strategic developments in the generative artificial intelligence in development and operations (devops) market, including expansions, agreements, and new product launches.
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