市場調查報告書
商品編碼
1374067
編碼中生成式人工智慧的全球市場規模、佔有率和行業趨勢分析報告:2023-2030 年按業務、用途、行業和地區分類的展望和預測Global Generative AI In Coding Market Size, Share & Industry Trends Analysis Report By Operation (Code Generation, Code Enhancement, Language Translation, and Code Reviews), By Application, By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
到 2030 年,生成式 AI 編碼市場規模預計將達到 9,550 萬美元,預測期內市場年複合成長率率為 23.5%。
根據KBV Cardinal矩陣中發布的分析,Google公司和微軟公司是該市場的先驅。 2023 年 3 月,Google LLC 與線上整合開發環境 Replit, Inc. 合作。此次合作使 Replit 開發人員能夠存取 Google Cloud 的基礎架構、服務和基礎模型。 IBM Corporation、NVIDIA Corporation 和 Adobe, Inc. 等公司是市場上的領先創新者。
市場成長要素
各領域自動化需求增加
將重複的編碼任務自動化,大大提高了軟體開發的效率。自動化降低了編碼中人為錯誤的風險。生成式人工智慧工具可以產生符合最佳實踐和編碼標準的程式碼,從而減少出現錯誤和漏洞的可能性。錯誤越少,軟體就越可靠、安全。與人工審查相比,人工智慧可以更快、更一致地識別程式碼問題、提案改進建議並執行程式碼分析。此外,自動化減少了對大量手動編碼和測試的需求,從而為您的組織節省了成本。它還需要更少的資源來實現相同或更好的生產力和程式碼品質水準。這些要素預計將在未來年度增加市場需求。
缺乏熟練的軟體開發人員和工程師
生成式人工智慧編碼工具可以透過提供程式碼提案、自動完成和即時回饋來幫助缺乏經驗的開發人員,從而縮短學習曲線並提高開發人員的工作效率。這些工具可以根據高級描述和要求自動產生程式碼片段或完整的程式碼部分。此功能有利於需要幫助從頭開始說明複雜或容易出錯的程式碼的新手開發人員。這可以幫助缺乏經驗的開發人員從錯誤中學習並改進他們的編碼實踐。這些工具通常支援多種程式語言和框架,允許經驗較少的開發人員使用他們最熟悉或最需要的語言進行工作。因此,這些要素為市場提供了良好的預測。
市場抑制因素
對資料品質和數量的擔憂
專業行業或利基領域的相關培訓資料可能有限。例如,在醫學編碼或航太工程中,可公開存取的程式碼範例和資料的數量可能明顯低於常見程式設計領域(例如網路開發)。資料缺乏是一個根本性的挑戰,因為生成式人工智慧模型需要大量資料才能有效學習。此外,創建高品質的訓練資料通常需要手動註釋和標記,這是勞動密集且成本高昂的,特別是對於專門的編碼工作。這增加了開發生成式人工智慧模型所需的整體成本和時間。預計這些要素將限制未來市場的成長。
經營展望
根據操作,市場分為程式碼產生、程式碼增強、語言翻譯和程式碼審查。 2022 年,程式碼產生細分市場獲得了最大的收益佔有率。隨著軟體開發仍然是各個行業的重要方面,對編碼自動化的需求不斷增加。生成式人工智慧能夠自動產生程式碼片段或整個程序,透過加快開發過程並減少手動編碼的需要來滿足這一需求。此外,科技業需要更多熟練的開發人員,這種差距預計會擴大。
應用前景
依應用分類,市場分為資料科學與分析、遊戲開發與設計、網路與應用程式開發、物聯網與智慧設備。 2022 年,網路和應用程式開發領域在市場中獲得了可觀的收益佔有率。 Web 和應用程式開發專案的期限通常很緊迫。生成式 AI 編碼工具可以透過自動執行重複性任務(例如產生程式碼範本、佈局和 UI 元件)來幫助加速開發。這種速度對於滿足及時發布產品的市場需求至關重要。
產業展望
按產業分類,BFSI、媒體與娛樂、IT 與電信、醫療保健與生命科學、運輸與物流、零售與電子商務。 2022年的市場中,IT/通訊領域將佔據最大的銷售佔有率。在 IT 和通訊業,對網路操作自動化的需求不斷成長,例如配置、故障排除和最佳化網路設備。生成式 AI 編碼工具透過產生用於網路管理的程式碼腳本來自動執行重複任務,幫助您節省時間並減少人為錯誤。
區域展望
從區域來看,市場分為北美、歐洲、亞太地區和拉丁美洲地區。 2022年,亞太地區在市場中獲得了可觀的收益佔有率。北京、上海、班加羅爾、新加坡和東京等城市正成為亞太地區的技術中心和創新中心。這些中心是許多積極參與生成式人工智慧編碼開發和應用的新興企業、研究機構和高科技公司的所在地。亞太國家,尤其是印度和中國,擁有大量高技能的軟體開發人員和工程師。這些熟練的勞動力既是生成式人工智慧編碼解決方案的需求來源,也是開發這些技術的人才庫。所有這些要素都可能在未來年度推動亞太地區的需求。
產生人工智慧編碼市場的最新策略
夥伴關係、合作與協議:
產品公告和產品擴展:
收購和合併
The Global Generative AI In Coding Market size is expected to reach $95.5 million by 2030, rising at a market growth of 23.5% CAGR during the forecast period.
Generative AI models have been used to automate the creation of various forms of media content, including articles, scripts, music, and even visual art. For example, AI-driven tools can generate news articles, create plot outlines for movies or TV shows, and even compose music. Consequently, the media and entertainment segment would generate approximately 23.1% share of the market by 2030. AI-powered tools are used for video and audio editing, making the process faster and more efficient. Generative AI can assist in tasks such as video captioning, audio transcription, and automatic subtitle generation, improving accessibility and user experience. Therefore, the media and entertainment segment demand are expected to grow rapidly in the coming years.
The major strategies followed by the market participants are Partnerships, Collaborations & Agreements as the key developmental strategy to keep pace with the changing demands of end users. For instance, In August, 2023, IBM Corporation expanded its collaboration with Microsoft Corporation, an American multinational technology corporation. Through this collaboration, the IBM Consulting Azure OpenAI Service was unveiled. In July, 2023, NVIDIA Corporation collaborated with ServiceNow, a software company that provides a cloud-based platform, and Accenture, an Irish-American professional services company. Through this collaboration, the AI Lighthouse was launched.
Based on the Analysis presented in the KBV Cardinal matrix; Google, Inc. and Microsoft Corporation are the forerunners in the market. In March 2023, Google LLC formed a partnership with Replit, Inc., an online integrated development environment. Through this partnership, the developers of Replit got to access Google Cloud infrastructure, services, and foundation models through. and Companies such as IBM Corporation, NVIDIA Corporation, Adobe, Inc. are some of the key innovators in the Market.
Market Growth Factors
Increasing demand for automation in various sectors
Automation of repetitive coding tasks significantly improves efficiency in software development. Automation diminishes the risk of human errors in coding. Generative AI tools can generate code that adheres to best practices and coding standards, reducing the likelihood of bugs and vulnerabilities. Fewer errors lead to more reliable and secure software. The AI can identify code issues, suggest improvements, and perform code analysis more rapidly and consistently than manual reviews. Furthermore, automation reduces the need for extensive manual coding and testing, resulting in organization cost savings. Fewer resources are required to achieve the same or even higher productivity and code quality levels. These factors are expected to boost the demand for market in the upcoming years.
Shortage of skilled software developers and engineers
Generative AI coding tools can assist less experienced developers by providing code suggestions, auto-completion, and real-time feedback, reducing the learning curve and allowing developers to become more productive. These tools can automatically generate code snippets or complete code sections based on high-level descriptions or requirements. This feature benefits less experienced developers who may need help writing complex or error-prone code from scratch. This helps less experienced developers learn from their mistakes and improve their coding practices. These tools often support multiple programming languages and frameworks, allowing less experienced developers to work in the languages they are most comfortable with or that are most in demand. As a result, these factors pose a lucrative prospect for the market.
Market Restraining Factors
Concerns associated with data quality and quantity
In specialized industries or niche domains, a limited amount of relevant training data may be available. For example, in medical coding or aerospace engineering, the volume of publicly accessible code samples or datasets can be significantly smaller than in general programming domains like web development. This scarcity of data poses a fundamental challenge, as generative AI models require substantial data to learn effectively. Furthermore, creating high-quality training data often involves manual annotation and labeling, which can be labor-intensive and costly, especially for specialized coding tasks. This increases the overall cost and time required to develop generative AI models. These factors are expected to limit the growth of the market in the future.
Operation Outlook
Based on operation, the market is divided into code generation, code enhancement, language translation, and code reviews. The code generation segment procured the largest revenue share in the market in 2022. As software development continues to be a critical aspect of various industries, there is a growing demand for automation in coding. Generative AI, with its ability to automatically generate code snippets and even entire programs, addresses this demand by speeding up development processes and reducing the need for manual coding. In addition, the technology industry needs more skilled developers, and this gap is expected to widen.
Application Outlook
By application, the market is segmented into data science & analytics, game development & design, web & application development, and IoT & smart devices. In 2022, the web and application development segment acquired a considerable revenue share in the market. Web and application development projects often have tight deadlines. Generative AI coding tools help accelerate development by automating repetitive tasks like generating code templates, layouts, and UI components. This speed is crucial in meeting market demands for timely product releases.
Vertical Outlook
On the basis of vertical, the market is divided into BFSI, media & entertainment, IT & telecom, healthcare & life sciences, transport & logistics, and retail & e-commerce. The IT and telecom segment witnessed the maximum revenue share in the market in 2022. In the IT and telecom industry, there is a growing demand for automating network operations, including the configuration of network devices, troubleshooting, and optimization. Generative AI coding tools can help automate repetitive tasks by generating code scripts for network management, which saves time and reduces human errors.
Regional Outlook
Based on region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. In 2022, the Asia Pacific segment garnered a considerable revenue share in the market. Cities like Beijing, Shanghai, Bangalore, Singapore, and Tokyo have emerged as tech hubs and innovation centers in the APAC region. These hubs are home to numerous startups, research institutions, and tech companies actively involved in developing and applying generative AI in coding. APAC countries, particularly India and China, have many highly skilled software developers and engineers. This skilled workforce is a source of demand for generative AI coding solutions and a talent pool for developing these technologies. All these factors will boost the demand in the Asia Pacific segment in the upcoming years.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Skillsoft Corporation, CodiumAI, Snyk Limited, Google LLC, IBM Corporation, Microsoft Corporation, NVIDIA Corporation, OpenAI, L.L.C., Tabnine, Adobe, Inc.
Recent Strategies of Generative AI In Coding Market
Partnerships, Collaborations, and Agreements:
Aug-2023: IBM Corporation expanded its collaboration with Microsoft Corporation, an American multinational technology corporation. Through this collaboration, the IBM Consulting Azure OpenAI Service was unveiled. The IBM Consulting Azure OpenAI Service helps developers and data scientists use large language models, GPT, and Codex series.
Jul-2023: Microsoft Corporation teamed up with Capgemini SE, a French multinational information technology services and consulting company. Through this collaboration, the Azure Intelligent App Factory was set up. The Azure Intelligent App Factory helps organizations increase their AI investments, foster new innovations, and advance the business value of existing applications. Additionally, the new product addresses enterprise-wide adoption of generative AI and incorporates use cases across industries.
Jul-2023: NVIDIA Corporation collaborated with ServiceNow, a software company that provides a cloud-based platform, and Accenture, an Irish-American professional services company. Through this collaboration, the AI Lighthouse was launched. The AI Lighthouse combines the ServiceNow enterprise automation platform, NVIDIA AI supercomputing and software, and Accenture AI transformation services, which help customers develop generative AI large language models (LLMs) and applications to upgrade their businesses.
Jun-2023: Microsoft Corporation came into a partnership with Moody's Corporation, a global integrated risk assessment firm. Through this partnership, innovative products were created that upgraded the insights relating to corporate intelligence and risk assessment with the instigation of Microsoft AI in combination with the analytics, data, and research of Moody.
Jun-2023: Microsoft Corporation expanded its partnership with Snowflake Inc., a cloud computing-based data cloud company. Through this partnership, new products were launched in AI, data governance, low code/no code application development and many other fields. Additionally, the companies upgraded their joint market strategies thus leading to field collaborations and introduction of joint products to the customers.
Jun-2023: Microsoft Corporation expanded its partnership with HCL Technologies Limited, an Indian multinational information technology services and consulting company. Through this extended partnership, enterprises incorporated generative artificial intelligence (AI) and jointly created solutions to help businesses achieve improved outcomes and bring about business transformation.
Jun-2023: Adobe, Inc., came into a partnership with Omnicom Group, Inc., an American global media, marketing, and corporate communications holding company. Through this partnership, the companies incorporated Adobe Firefly for generating content using the increased automation of the API.
Jun-2023: Adobe, Inc., extended its partnership with IBM Corporation, an American global media, marketing, and corporate communications holding company. Through this extended partnership, content supply chains were upgraded through the incorporation of next-generation AI, namely, Adobe Sensei GenAI services and Adobe Firefly. Additionally, the companies help the clients create a unified content supply chain ecosystem for increasing creativity and automating tasks.
Jun-2023: Skillsoft Corporation came into an agreement with Infosys Limited, an Indian multinational information technology company. Under this agreement, the companies provided learners with the educational contents of Skillsoft through Infosys Springboard. Additionally, this collaboration would give the young learners quality content to build their critical leadership and technology skills.
Mar-2023: Google LLC formed a partnership with Replit, Inc., an online integrated development environment. Through this partnership, the developers of Replit got to access Google Cloud infrastructure, services, and foundation models through Ghostwriter, while the collaborative code editing platform of Replit was accessed by Google Cloud and Workplace developers. Additionally, the collaboration advanced the creation of generative AI applications and created an open ecosystem for generative AI.
Mar-2023: NVIDIA Corporation joined hand with Amazon Web Services, Inc., which provides cloud computing platforms and APIs to the customers. Through this collaboration, the companies developed on-demand artificial intelligence (AI) infrastructure that can be used for creating large language models (LLMs) and generative AI applications.
Product Launches and Product Expansions:
Aug-2023: IBM Corporation introduced the Watsonx Code Assistant for Z, a generic AI-assisted tool used to translate COBOL to Java on IBM Z. Watsonx Code Assistant for Z increases the productivity of developers on the platform and assists businesses to support generative AI and upgrade the modernization of their mainframe applications. Additionally, Watsonx Code Assistant for Z helps enhance the security, performance, and flexibility of IBM Z.
Aug-2023: NVIDIA Corporation launched the NVIDIA AI Workbench, a simplified toolkit assisting developers to create models from NVIDIA NGC, Hugging Face, and GitHub using customized data. The NVIDIA AI Workbench helps cross-organizational teams develop AI-based applications, which are necessary for all businesses.
Aug-2023: NVIDIA Corporation introduced the NVIDIA RTX workstations, assisting development and content creation in the fields of generative AI and digitization. The NVIDIA RTX workstations includes NVIDIA RTX 6000 Ada Generation GPUs and comprise the NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise software, which help developers in building vast and digitized worlds involving generative AI.
Jun-2023: Skillsoft Corporation launched the ChatGPT Learning Journey, a series of generative AI courses for equipping organizations and the workforce with skills to use technology productively. The ChatGPT Learning Journey considers the challenges and provides solutions to the customers to avail the opportunity of using generative AI in a safe and ethical manner.
Acquisition and Mergers:
Jun-2023: Snyk Limited came into an agreement to acquire Enso Security, an information security startup. Through this acquisition, Snyk upgraded its DevSecOps and build upon the market leadership through addition of new capabilities that allow growth of the security leaders as well as manage the global developer security programs.
Apr-2022: Skillsoft Corporation took over Codecademy, an American online interactive platform that offers free coding classes. Through this acquisition, Skillsoft increased its product base through the additions from Codecademy's learning platform. Additionally, the acquisition provided cross-selling opportunities, revenue growth and gross margins.
Market Segments covered in the Report:
By Operation
By Application
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research