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Unlocking Opportunities in the Generative AI in Software Development Lifecycle Market: 2025-2034 Forecast Report
Generative AI in Software Development Lifecycle Market
What Will the Generative AI in Software Development Lifecycle Industry Market Size Be by 2025?
The market for generative AI in the software development lifecycle has seen immense growth in the past few years. The market, which is poised to increase from $0.5 billion in 2024 to $0.69 billion in 2025, is predicted to have a compound annual growth rate (CAGR) of 39.1%. This surge witnessed in the historic period can be chalked up to the rising demand for automation as well as efficiency, the necessity of proficient software developers, the burgeoning adoption of digital advertisements, and the growing appetite for generative AI-induced content creation and designing.
What's the Long-Term Growth Forecast for the Generative AI in Software Development Lifecycle Market Size Through 2029?
The market size for generative AI in the software development lifecycle is projected to undergo substantial growth in the coming years, increasing to $2.57 billion in 2029 with a CAGR of 38.7%. Factors contributing to this growth during the forecasted period include the increase in remote working patterns, the surge in digital transformations, heightened expenditure on big data and analytics, a growing demand for effective software development, and the need for personalised user experiences. Key trends shaping the outlook period include the progress in artificial intelligence, agile and iterative development approaches, generative AI instruments, the expansion of open-source software, the advancement in generative AI technology, and the application of cloud-based technologies in software development.
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What Are the Key Growth Drivers Fueling the Generative AI in Software Development Lifecycle Market Expansion?
The surge in the need for automation is predicted to fuel the expansion of the generative AI market in the software development lifecycle. Automation essentially means utilizing technology to produce goods and services with minimal human interference. Various factors, such as the necessity for heightened efficiency, scalability, cost-effectiveness, and error reduction in diverse industries and processes, are driving a higher demand for automation. Generative AI-enabled automation tools can autonomously produce code snippets based on high-level specifications or design patterns. This notably boosts the generative AI's effectiveness in software development by lessening manual work and guaranteeing the supply of top-tier software solutions. For example, in January 2022, a survey by Camunda, a German open-source platform, among 600 IT professionals in North America and Europe, found that more than four out of five respondents (82%) said process automation is of higher priority for their company than the previous year. Thus, the escalating need for automation is propelling the growth of the generative AI market in the software development lifecycle.
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What Are the Key Trends Driving Generative AI in Software Development Lifecycle Market Growth?
Leading businesses in the generative AI for software development lifecycle sector have been concentrating on creating cutting-edge solutions like generative AI assistants in order to boost their earnings and improve software security. These AI assistants are AI-enabled tools capable of independently generating code snippets, documentation, or carrying out security analysis to improve efficiency and productivity. For example, Harness Inc., an American software delivery platform firm, in June 2023, introduced AIDA (AI Development Assistant), a generatively developed AI assistant meant to ease the software development process. It was designed to support developers throughout every phase of software development, offering features such as automatic fix of build and deployment issues, detection and automatic rectification of security flaws, and management of cloud expenses using natural language.
How Is the Generative AI in Software Development Lifecycle Market Segmented?
The generative AI in software development lifecycle market covered in this report is segmented -
1) By Component: Solutions, Services
2) By Deployment Mode: On-Premise, Cloud-Based
3) By Application: Code Generation, Code Optimization, Bug Detection, Testing And Quality Assurance, Other Applications
4) By End-User: Software Engineers Or DevOps Professionals, Security Professionals Or SecOps
Subsegments:
1) By Solutions: Code Generation Solutions, Automated Testing Solutions, Code Refactoring Solutions, Bug Detection And Fixing Solutions, Code Review And Quality Assurance Solutions, Continuous Integration Or Continuous Deployment (CI Or CD) Solutions, DevOps Automation Solutions, AI-Powered Documentation Solutions, Other Generative AI Solutions
2) By Services: Consulting Services, System Integration Services, AI Model Training And Fine-Tuning Services, Customization And Development Services, Support And Maintenance Services, Managed Services, Other Services
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Which Companies Are Leading the Charge in Generative AI in Software Development Lifecycle Market Innovation?
Major companies operating in the generative AI in software development lifecycle market are Google LLC, Microsoft Corporation, Alibaba Cloud LLC, Amazon Web Services Inc., accenture* plc, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, Nvidia Corporation, Capgemini SE, Infosys Limited, HCL Technologies Limited, Wipro Limited, Red Hat Inc., Atlassian Corporation Plc, Reply, Thoughtworks Inc., GitHub Inc., C3 AI Inc., Harness Inc., CloudBees Inc., Hugging Face Inc., Replit, Tabnine Ltd.
Which Regions Are Leading the Global Generative AI in Software Development Lifecycle Market in Revenue?
North America was the largest region in the generative AI in software development lifecycle market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in software development lifecycle market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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