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Generative AI In Software Development Market Forecast 2025-2034: Evaluating Growth Factors, Segments, and Emerging Trends
Generative AI In Software Development Market Size
The burgeoning need for automation is set to accelerate the expansion of generative AI within the software development market. Automation essentially involves the utilization of machinery and technology to carry out various tasks with minimum human interference, thereby boosting efficiency and productivity. This escalating demand is fueled by the necessity to simplify procedures, enhance effectiveness, minimize expenses, and heighten accuracy in multiple sectors. Generative AI paves the way for the automation of design assignments, including the generation of UI layouts, graphical representations, and architectural designs, freeing up human designers to focus more on inventive tasks. For example, a study issued by Capgemini SE, a France-based IT services firm, in July 2024 stated that approximately three-fifths of organizations favored the use of generative AI in software engineering, and nearly 46% of software engineers were inclined to use generative AI tools. It's anticipated that about 85% of the software workforce will adopt generative AI in software by 2026. Hence, the surging demand for automation fuels the expansion of generative AI within the software development market.
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What is the projected compound annual growth rate (CAGR) of the generative ai in software development market from 2025 to 2034, and what factors influence it?
Recently, the generative AI in software development market has seen substantial growth and it is projected to continue to thrive, expanding from $53.4 billion in 2024 to $66.77 billion in 2025 at a compound annual growth rate (CAGR) of 25.0%. The spurring growth in the past years can be traced back to enhanced computational capabilities, advancements in deep learning algorithms, the presence of extensive datasets, a growing need for code enhancement, and the rise of cloud computing platforms.
The market size of generative AI for software development is predicted to experience a significant surge in the coming years, expanding to a worth of $161.34 billion in 2029, showing a CAGR of 24.7%. The forecasted increase can be linked to the incorporation of generative AI with software development tools, broadening use in creative sectors, utilization of generative AI for generating personalized content, advancement in grasping natural language capabilities, and rapid progression in self-evolving AI systems research. In the anticipated period, major trends will comprise a heightened emphasis on ethical and accountable AI development, dispersion of generative AI into low-code and no-code platforms, the upsurge of AI-integrated software development work processes, the emergence of cybersecurity solutions powered by generative AI, and the merging of generative AI with DevOps practices.
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What trends are poised to drive the future success of the generative ai in software development market?
The major players in the generative AI software development market are making strides by launching advanced generative AI tools to increase efficiency and boost market revenues. These innovative AI offerings incorporate various features that utilize artificial intelligence to generate new content and ideas such as dialogues, narratives, visuals, films, and music. For example, France-based IT firm, Capgemini SE, rolled out a suite of generative AI services including, generative AI strategy, generative AI for customer experience, generative AI for software engineering, and bespoke generative AI for businesses in July 2023. The unique suite of services provided by the generative AI for software engineering increases efficiency and quality at every stage in the software lifecycle, from concept and coding to documentation, testing, deployment, and operations. It speeds up the market entry for new software and decreases the technical debt of businesses by facilitating large-scale software modernization for outdated programs. Plus, it enhances security by identifying and suggesting fixes for bugs or vulnerabilities to software developers, thereby minimizing the attack surface.
What are the major segments of the generative ai in software development market and their role in driving growth?
The generative AI in software development 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
Subsegments:
1) By Solutions: AI-Powered Code Generation, Automated Software Testing And Debugging, Intelligent Code Optimization And Refactoring, AI-Based Application Security And Vulnerability Detection
2) By Services: AI Consulting For Software Development, Custom AI Solution Development For Software, AI Integration And Implementation Services, AI-Driven Software Development Training And Support
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Which regions are key players in the growth of the generative ai in software development market?
North America was the largest region in the generative AI in software development market in 2024. The regions covered in the generative AI in software development market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the key firms paving the way for growth in the generative ai in software development market?
Major companies operating in the generative AI in software development market report are Amazon Inc.; Google LLC; Microsoft Corporation; Tencent Holdings Ltd.; International Business Machines Corporation; Deloitte Touche Tohmatsu Limited; Oracle Corporation; Red Hat Inc.; Atlassian Corporation Plc; Alteryx Inc.; Itransition Inc.; Visionet Systems Inc.; BairesDev LLC; Nordcloud Ltd.; CloudBees Inc.; 15Five Inc; ScienceLogic Inc.; Waverley Software Inc.; Alibaba Cloud; 10Clouds SP. Z O.O.; Radiansys Inc.; Tooploox; Blue Label Labs; ASG Technologies Ltd.; HatchWorks Inc
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What Is Covered In The Generative AI In Software Development Global Market Report?
• Market Size Forecast: Examine the generative ai in software development market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the generative ai in software development market for a structured understanding.
• Key Players Overview: Analyze major players in the generative ai in software development market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the generative ai in software development market.
• Segment Contributions: Evaluate how different segments drive overall growth in the generative ai in software development market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the generative ai in software development market.
• Industry Challenges: Identify potential risks and obstacles affecting the generative ai in software development market.
• Competitive Landscape: Review strategic developments in the generative ai in software development market, including expansions, agreements, and new product launches.
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