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How are market drivers shaping the future growth trajectory of the generative ai in software development industry?
The rising demand for automation is expected to propel the growth of generative AI in the software development market going forward. Automation refers to using technology and machinery to perform tasks with minimal human intervention, increasing efficiency and productivity. The rising demand for automation is driven by the need to streamline processes, increase efficiency, reduce costs, and improve accuracy across various industries. Generative AI enables the automation of design tasks such as generating UI layouts, graphics, and architectural designs, allowing human designers to dedicate more time to creative endeavors. For instance, In July 2024, according to a report published by Capgemini SE a France-based information technology services provider company, around 3 out of 5 organization prefer to use generative AI in software engineering and around 46% of the software engineers prefer to use generative AI tools. It is estimated that around 85% of the software workforce will adopt generative AI in software by 2026. Therefore, the rising demand for automation drives the growth of generative AI in the software development market
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What is the estimated market size of the generative ai in software development sector by 2029, based on current forecasts?
The generative AI in software development market size has grown exponentially in recent years. It will grow from $53.4 billion in 2024 to $66.77 billion in 2025 at a compound annual growth rate (CAGR) of 25.0%. The growth in the historic period can be attributed to increased computational power, advances in deep learning algorithms, availability of large-scale datasets, increased requirement for coding optimization, emergence of cloud computing platforms.
The generative AI in software development market size is expected to see exponential growth in the next few years. It will grow to $161.34 billion in 2029 at a compound annual growth rate (CAGR) of 24.7%. The growth in the forecast period can be attributed to integration of generative AI into software development tools, expansion of applications in creative industries, adoption of generative AI for personalized content generation, enhancement of natural language understanding capabilities, acceleration of research in self-improving AI systems. Major trends in the forecast period include increased focus on ethical and responsible AI development, proliferation of generative AI in low-code and no-code platforms, rise of AI-augmented software development workflows, emergence of generative AI-powered cybersecurity solutions, integration of generative AI into DevOps practices.
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#Who are the top players 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
#What are the major trends in the generative ai in software development market?
Major companies operating in the generative AI software development market are introducing an advanced set of generative AI offerings to enhance efficiency and drive revenues in the market. Generative AI services encompass a variety of applications that leverage artificial intelligence to create new content and ideas such as conversations, stories, images, videos, and music. For instance, in July 2023, Capgemini SE, a France-based information technology company, launched a generative AI portfolio of services such as generative AI strategy, generative AI for customer experience, generative AI for software engineering, and custom generative AI for enterprises. The inclusion of generative AI for software engineering offers a unique portfolio of services that enhance efficiency and quality throughout the software life cycle, from design and coding to documentation, testing, deployment, and operations. It expedites the time to market for new software and diminishes technical debt for enterprises by supporting large-scale modernization programs for legacy software. Additionally, it bolsters security measures by reducing the attack surface by automatically identifying bugs or vulnerabilities and suggesting adjustments to software development teams.
Which geography holds the highest generative ai in software development market share?
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.
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How do different segments contribute to the overall expansion of the generative ai in software development market?
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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What defines the structure and scope of the generative ai in software development market?
Generative AI in software development refers to a category of AI models and tools that generate new content, including code, by providing code suggestions and entire functions in response to natural language prompts and existing code. It empowers developers to automate repetitive tasks, explore creative solutions, and expedite the software development process through the generation of code snippets, prototypes, and design concepts.
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