市场调查报告书
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1399607
AI 程式码工具市场 - 按产品、按部署模型、按应用、按垂直行业、按技术和预测,2023 年 - 2032 年AI Code Tools Market - By Offering, By Deployment Model, By Application, By Industry Vertical, By Technology & Forecast, 2023 - 2032 |
预计从 2023 年到 2032 年,人工智慧程式码工具市场规模将以超过 22% 的CAGR成长。对高效软体开发流程的需求不断增长,加上编码任务的复杂性不断增加,正在推动人工智慧驱动的程式码产生、分析、分析工具的采用。和最佳化。
机器学习和人工智慧应用的强劲成长推动了对专用工具的需求。对软体开发自动化的持续重视导致人工智慧程式码工具更高程度地整合到 DevOps 实践中。此外,业界对创新和敏捷性的高度重视正在改变和简化编码流程。生产力的提高、开发时间的缩短以及错误的最小化也将有助于提高人工智慧程式码工具的吸引力。例如,2023 年8 月,Meta 推出了Code Llama,这是一种大型语言模型(LLM),能够透过文字提示产生和讨论程式码,以增强开发人员工作流程,使其更加高效,并减少个人学习编码的障碍。
人工智慧程式码工具市场分为产品、部署模型、应用程式、技术、垂直产业和区域。
在部署模式方面,由于对资料安全和合规性的需求不断增长,特别是在监管要求严格的行业中,预计到 2032 年,本地部署领域的行业价值将以CAGR大幅增长。本地部署使组织能够更好地控制其资料,进一步鼓励该细分市场的成长
预计从 2023 年到 2032 年,医疗保健产业垂直领域的人工智慧程式码工具市场份额将呈现显着的复合CAGR。这种增长可归因于医学研究、药物发现和个人化医疗保健解决方案越来越多采用人工智慧解决方案。在开发医疗保健应用程式、演算法和资料分析方面对高效编码工具的需求不断增长,也将推动该细分市场的成长。
从区域来看,欧洲人工智慧编码工具市场预计将在 2023 年至 2032 年间快速繁荣。对数位转型的日益重视和对软体开发自动化的高需求正在推动采用人工智慧驱动的工具来提高编码效率。对创新和技术进步的日益关注也将促进区域产业扩张。
AI code tools market size is projected to expand at over 22% CAGR from 2023 to 2032. The increasing demand for efficient software development processes coupled with the rising complexity of coding tasks is driving the adoption of AI-powered tools for code generation, analysis, and optimization.
The robust growth of machine learning and AI applications is fueling the need for specialized tools. The continuous emphasis on automation in software development is leading to higher integration of AI code tools into DevOps practices. Moreover, the strong prioritization of industries on innovations and agility is transforming and streamlining the coding processes. Enhanced productivity, reduced development time, and minimized errors will also contribute to the high appeal of AI code tools. For instance, in August 2023, Meta introduced Code Llama, a large language model (LLM) capable of generating and discussing code through text prompts to enhance developer workflows for making them more efficient and reduce barriers for individuals learning to code.
The AI code tools market is segregated into offering, deployment model, application, technology, industry vertical, and region.
In terms of deployment model, the industry value from the on-premises segment is estimated to rise at substantial CAGR through 2032, owing to the rising need for data security and compliance, especially in industries with strict regulatory requirements. On-premises deployment offers organizations greater control over their data, further encouraging the segment growth
AI code tools market share from the healthcare industry vertical segment is projected to exhibit significant CAGR from 2023 to 2032. The growth can be attributed to the increasing adoption of AI solutions for medical research, drug discovery, and personalized healthcare solutions. The rising need for efficient coding tools in developing healthcare applications, algorithms, and data analysis will also drive the segment growth ahead.
Regionally, the Europe AI code tools market is projected to thrive at rapid pace between 2023 and 2032. The increasing emphasis on digital transformation and high demand for automation in software development is pushing the adoption of AI-driven tools to enhance coding efficiency. The growing focus on innovations and technological advancements will also enhance the regional industry expansion.