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编码中生成式人工智慧的全球市场规模、份额和行业趋势分析报告:2023-2030 年按业务、用途、行业和地区分類的展望和预测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 编码市场规模预计将达到 9,550 万美元,预测期内市场年复合成长率率为 23.5%。
根据KBV Cardinal矩阵中发布的分析,Google公司和微软公司是该市场的先驱。 2023 年 3 月,Google LLC 与线上整合开发环境 Replit, Inc. 合作。此次合作使 Replit 开发人员能够存取 Google Cloud 的基础架构、服务和基础模型。 IBM Corporation、NVIDIA Corporation 和 Adobe, Inc. 等公司是市场上的领先创新者。
市场成长要素
各领域自动化需求增加
将重复的编码任务自动化,大大提高了软体开发的效率。自动化降低了编码中人为错误的风险。生成式人工智慧工具可以产生符合最佳实践和编码标准的程式码,从而减少出现错误和漏洞的可能性。错误越少,软体就越可靠、安全。与人工审查相比,人工智慧可以更快、更一致地识别程式码问题、提案改进建议并执行程式码分析。此外,自动化减少了对大量手动编码和测试的需求,从而为您的组织节省了成本。它还需要更少的资源来实现相同或更好的生产力和程式码品质水准。这些要素预计将在未来年度增加市场需求。
缺乏熟练的软体开发人员和工程师
生成式人工智慧编码工具可以透过提供程式码提案、自动完成和即时回馈来帮助缺乏经验的开发人员,从而缩短学习曲线并提高开发人员的工作效率。这些工具可以根据高级描述和要求自动产生程式码片段或完整的程式码部分。此功能有利于需要帮助从头开始说明复杂或容易出错的程式码的新手开发人员。这可以帮助缺乏经验的开发人员从错误中学习并改进他们的编码实践。这些工具通常支援多种程式语言和框架,允许经验较少的开发人员使用他们最熟悉或最需要的语言进行工作。因此,这些要素为市场提供了良好的预测。
市场抑制因素
对资料品质和数量的担忧
专业行业或利基领域的相关培训资料可能有限。例如,在医学编码或航太工程中,可公开存取的程式码范例和资料的数量可能明显低于常见程式设计领域(例如网路开发)。资料缺乏是一个根本性的挑战,因为生成式人工智慧模型需要大量资料才能有效学习。此外,创建高品质的训练资料通常需要手动註释和标记,这是劳动密集且成本高昂的,特别是对于专门的编码工作。这增加了开发生成式人工智慧模型所需的整体成本和时间。预计这些要素将限制未来市场的成长。
经营展望
根据操作,市场分为程式码产生、程式码增强、语言翻译和程式码审查。 2022 年,程式码产生细分市场获得了最大的收益占有率。随着软体开发仍然是各个行业的重要方面,对编码自动化的需求不断增加。生成式人工智慧能够自动产生程式码片段或整个程序,透过加快开发过程并减少手动编码的需要来满足这一需求。此外,科技业需要更多熟练的开发人员,这种差距预计会扩大。
应用前景
依应用划分,市场分为资料科学与分析、游戏开发与设计、网路与应用程式开发、物联网与智慧设备。 2022 年,网路和应用程式开发领域在市场中获得了可观的收益占有率。 Web 和应用程式开发专案的期限通常很紧迫。生成式 AI 编码工具可以透过自动执行重复性任务(例如产生程式码范本、布局和 UI 元件)来帮助加速开发。这种速度对于满足及时发布产品的市场需求至关重要。
产业展望
按产业划分,BFSI、媒体与娱乐、IT 与电信、医疗保健与生命科学、运输与物流、零售与电子商务。 2022年的市场中,IT/通讯领域将占据最大的销售份额。在 IT 和通讯业,对网路操作自动化的需求不断增长,例如配置、故障排除和最佳化网路设备。生成式 AI 编码工具透过产生用于网路管理的程式码脚本来自动执行重复任务,帮助您节省时间并减少人为错误。
区域展望
从区域来看,市场分为北美、欧洲、亚太地区和拉丁美洲地区。 2022年,亚太地区在市场中获得了可观的收益占有率。北京、上海、班加罗尔、新加坡和东京等城市正成为亚太地区的技术中心和创新中心。这些中心是许多积极参与生成式人工智慧编码开发和应用的新兴企业、研究机构和高科技公司的所在地。亚太国家,尤其是印度和中国,拥有大量高技能的软体开发人员和工程师。这些熟练的劳动力既是生成式人工智慧编码解决方案的需求来源,也是开发这些技术的人才库。所有这些要素都可能在未来年度推动亚太地区的需求。
产生人工智慧编码市场的最新策略
伙伴关係、合作与协议:
产品公告和产品扩展:
收购和合併
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