Overview and Scope
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.
Sizing and Forecast
The generative AI in software development market size has grown exponentially in recent years. It will grow from $42.95 billion in 2023 to $53.40 billion in 2024 at a compound annual growth rate (CAGR) of 24.3%. 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 $129.43 billion in 2028 at a compound annual growth rate (CAGR) of 24.8%. 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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Segmentation & Regional Insights
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
North America was the largest region in the generative AI in software development market in 2023. 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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Major Driver Impacting Market Growth
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 October 2022, according to the International Federation of Robotics, a Germany-based non-profit organization, 517,385 new industrial robots will be installed in industries worldwide in 2021. This indicates a 31% growth rate year over year. Therefore, the rising demand for automation drives the growth of generative AI in the software development market.
Key Industry Players
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
The generative ai in software development market report table of contents includes:
1. Executive Summary
2. Generative AI In Software Development Market Characteristics
3. Generative AI In Software Development Market Trends And Strategies
4. Generative AI In Software Development Market - Macro Economic Scenario
5. Global Generative AI In Software Development Market Size and Growth
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32. Global Generative AI In Software Development Market Competitive Benchmarking
33. Global Generative AI In Software Development Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Generative AI In Software Development Market
35. Generative AI In Software Development Market Future Outlook and Potential Analysis
36. Appendix
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