市場調查報告書
商品編碼
1399607
AI 程式碼工具市場 - 按產品、按部署模型、按應用、按垂直行業、按技術和預測,2023 年 - 2032 年AI Code Tools Market - By Offering, By Deployment Model, By Application, By Industry Vertical, By Technology & Forecast, 2023 - 2032 |
預計從 2023 年到 2032 年,人工智慧程式碼工具市場規模將以超過 22% 的CAGR成長。對高效軟體開發流程的需求不斷成長,加上編碼任務的複雜性不斷增加,正在推動人工智慧驅動的程式碼產生、分析、分析工具的採用。和最佳化。
機器學習和人工智慧應用的強勁成長推動了對專用工具的需求。對軟體開發自動化的持續重視導致人工智慧程式碼工具更高程度地整合到 DevOps 實踐中。此外,業界對創新和敏捷性的高度重視正在改變和簡化編碼流程。生產力的提高、開發時間的縮短以及錯誤的最小化也將有助於提高人工智慧程式碼工具的吸引力。例如,2023 年8 月,Meta 推出了Code Llama,這是一種大型語言模型(LLM),能夠透過文字提示產生和討論程式碼,以增強開發人員工作流程,使其更加高效,並減少個人學習編碼的障礙。
人工智慧程式碼工具市場分為產品、部署模型、應用程式、技術、垂直產業和區域。
在部署模式方面,由於對資料安全和合規性的需求不斷成長,特別是在監管要求嚴格的行業中,預計到 2032 年,本地部署領域的行業價值將以CAGR大幅成長。本地部署使組織能夠更好地控制其資料,進一步鼓勵該細分市場的成長
預計從 2023 年到 2032 年,醫療保健產業垂直領域的人工智慧程式碼工具市場佔有率將呈現顯著的複合CAGR。這種成長可歸因於醫學研究、藥物發現和個人化醫療保健解決方案越來越多採用人工智慧解決方案。在開發醫療保健應用程式、演算法和資料分析方面對高效編碼工具的需求不斷成長,也將推動該細分市場的成長。
從區域來看,歐洲人工智慧編碼工具市場預計將在 2023 年至 2032 年間快速繁榮。對數位轉型的日益重視和對軟體開發自動化的高需求正在推動採用人工智慧驅動的工具來提高編碼效率。對創新和技術進步的日益關注也將促進區域產業擴張。
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.