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Generative AI In Software Development Lifecycle Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The market for data center graphics processing units (GPUs) has experienced substantial growth over the past few years. This market is projected to expand from $26.13 billion in 2025 to $34.73 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 32.9%. Historically, this expansion has been driven by factors such as the increase in data-intensive applications, the early embrace of parallel computing, the ongoing growth of data centers, the need for quicker processing, and the emergence of virtualization technologies.
The data center graphics processing unit (gpu) market size is expected to undergo significant expansion in the coming years, with projections indicating a rise to $106.51 billion by 2030, maintaining a compound annual growth rate (CAGR) of 32.3%. This growth during the forecast period is primarily driven by the increasing adoption of generative AI, the broadening of hyperscale cloud operations, the heightened need for real-time analytics, the expansion of enterprise AI workloads, and augmented investments in HPC. Noteworthy trends for this forecast period involve accelerated AI and machine learning workloads, a surging demand for high-performance computing, a strategic pivot towards GPU-based inference, the development of energy-efficient GPU architectures, and the deployment of GPU infrastructure in cloud settings.
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Generative AI In Software Development Lifecycle Market Growth Drivers: What Factors Are Accelerating Expansion?
The increasing embrace of cloud services is projected to drive the expansion of the data center graphics processing units (GPUs) market in the future. Cloud services encompass the provision of computing capabilities, such as storage, processing power, and software programs, via the internet, enabling users to readily access and control these resources without owning or maintaining physical infrastructure. The uptake of cloud services is rising because of their economic efficiency, adaptability, and user-friendliness, which permits businesses to swiftly adjust to evolving requirements without capital expenditure on physical infrastructure. Data center graphics processing units (GPUs) enhance cloud services by speeding up data-heavy operations, facilitating quicker and more effective processing for applications like AI, machine learning, and real-time graphics, consequently improving the overall efficiency and flexibility of cloud-driven solutions. For example, in December 2023, as per Eurostat, a Luxembourg-based government agency collecting statistics and data for Europe, 42.5% of EU enterprises utilized cloud computing services by 2023, mainly for email, file storage, and office software. This represented a 4.2 percentage point increase from 2021. Consequently, the expanding use of cloud services is fueling the growth of the data center graphics processing units (GPUs) market.
Generative AI In Software Development Lifecycle Market Segmentation Trends And Revenue Drivers
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
Generative AI In Software Development Lifecycle Market Transformation Trends: Which Innovations Are Driving Change?
Leading companies within the data center graphics processing units (GPUs) market are concentrating on technological innovations, particularly energy-efficient GPUs, to achieve lower operational expenditures, improved performance, and a reduced environmental footprint for large data centers. These energy-efficient GPUs are designed to deliver robust computing capabilities while consuming less power, thereby decreasing electricity expenses and boosting sustainability across data centers. As an illustration, in March 2024, the US-based software firm, Nvidia Corporation, unveiled its NVIDIA Blackwell platform. The Blackwell GPU architecture incorporates six groundbreaking technologies designed to significantly improve accelerated computing. This platform is engineered to drive advancements in areas like data processing, engineering simulation, and generative AI, enabling real-time AI processing for trillion-parameter models with considerably lower costs and energy consumption, marking up to a 25 times reduction compared to earlier models.
#Generative AI In Software Development Lifecycle Market Industry Leaders: Which Organizations Are Driving Competition?
Major companies operating in the generative AI in software development lifecycle market are Microsoft Corporation, IBM, Atlassian Corporation Plc, GitHub Inc., Harness Inc., CloudBees Inc., Hugging Face Inc., Replit, Tabnine Ltd., DeepCode (Snyk)†, Sourcegraph, Codota, Kite (programming assistant)†, OpenAI, GitLab Inc., AppSmith, Codeium, Codenjoy, CodeStream, PolyCoder, MutableAI, Diffblue
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#Generative AI In Software Development Lifecycle Market Largest Region: Which Geography Holds The Highest Market Share?
North America was the largest region in the generative AI in software development lifecycle market in 2025. 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, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.