AI Code Tools Market Size, Share & Trends Analysis Report By Offering (Tools, Services), By Deployment (On-premises, Cloud), By Technology, By Application, By Vertical, By Region, And Segment Forecasts, 2024 - 2030

AI Code Tools Market Size, Share & Trends Analysis Report By Offering (Tools, Services), By Deployment (On-premises, Cloud), By Technology, By Application, By Vertical, By Region, And Segment Forecasts, 2024 - 2030

AI Code Tools Market Growth & Trends

The global AI code tools market size is expected to reach USD 26.03 billion by 2030, registering a CAGR of 27.1% from 2024 to 2030, according to a new report by Grand View Research, Inc. Factors such as growing adoption of Low-Code/No-Code platforms, and increased investments in AI code tool startups are driving the growth of the market. Businesses need to deliver features and products quickly to stay competitive. AI code tools empower developers to iterate on code faster and deliver projects quicker.Low-code/No-Code platforms make development accessible to non-programmers, further expanding the potential user base for AI code tools.

Cloud computing provides the scalability and processing power needed to run complex AI algorithms behind AI code tools. Advancements in cloud infrastructure further enhance these tools' capabilities. The digital age demands a constant stream of new applications and functionalities. AI code tools automate repetitive tasks and generate code snippets, freeing up developers to tackle complex problems and accelerate development cycles. The global software development industry faces a skilled developer gap. AI code tools bridge this gap by making development tasks easier for less experienced developers, increasing overall developer productivity.

The adoption of Agile and DevOps methodologies emphasizes continuous integration and continuous deployment (CI/CD), necessitating tools that can accelerate development and deployment. Moreover, the need to detect and fix bugs early in the development process drives the adoption of AI-powered code analysis and review tools. Furthermore, increasing cybersecurity threats necessitate the use of AI tools to identify and mitigate vulnerabilities in tools. Automating repetitive and time-consuming tasks can significantly reduce development costs and enable developers to focus on more critical aspects of software development.

AI Code Tools Market Report Highlights

• The North America region dominated the market in 2023, accounting for the largest share of global revenue. North American businesses are early adopting new technologies. This openness to innovation drives the rapid uptake of AI code tools in the region.
• The tools segment dominated the market in 2023. AI code tools bridge the gap by making development tasks easier for less experienced programmers. Moreover, AI code tools automate repetitive tasks such as code generation and debugging, freeing developers for more strategic work.
• The code generation tools segment dominated the market in 2023. The digital age necessitates a constant stream of new software applications and features. Code generation tools automate repetitive coding tasks and generate code snippets, freeing up developers to focus on complex problems and accelerate development cycles.
• The professional services segment dominated the market in 2023. As AI code tools become more advanced, their implementation and integration require specialized expertise. Professional service providers offer consulting, training, and support to help businesses navigate this complexity and maximize the benefits of these tools.
• The cloud segment dominated the market in 2023. Cloud-based AI code tools are automatically updated and maintained by the provider. This eliminates the burden of managing software updates and infrastructure for internal IT teams, allowing developers to focus on core development tasks.
• Machine Learning (ML) segment dominated the market in 2023. Machine learning is the core technology powering AI code tools. ML algorithms analyze existing code patterns and programmer intent to suggest code completions or even generate entire code snippets. This significantly improves developer productivity.
• Data Science & Machine Learning segment dominated the market in 2023. The demand for skilled data scientists far outpaces the supply. AI code tools can empower citizen developers and analysts with basic coding skills to contribute to Directory Services Markup Language (DSML) projects, alleviating this shortage.
• The BFSI segment accounted for the largest share of the global market in 2023. The rising need to provide customized banking solutions to customers and the growing dependency on digital infrastructure for managing business operations are some of the key factors driving the growth of AI code tool adoption across the segment.

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