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市场调查报告书
商品编码
1859829

全球人工智慧增强型开发市场：预测至 2032 年—按组件、部署方式、应用、最终用户和地区分類的分析

AI-Augmented Development Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Mode (Cloud-Based, On-Premises and Hybrid), Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球 AI 增强开发市场预计到 2025 年将达到 9.595 亿美元，到 2032 年将达到 113.368 亿美元，预测期内复合年增长率为 42.3%。

人工智慧辅助开发是指将人工智慧工具整合到软体开发生命週期中，以提高生产力、准确性和速度。这些工具透过自动化程式码产生、侦错、测试和文件编写等重复性任务来辅助开发人员。人工智慧不会取代人类开发人员，而是作为协作伙伴和智慧助手，简化工作流程并减少错误。 GitHub Copilot、Amazon CodeWhisperer 和 ChatGPT 等技术正是这种转变的例证，它们能够提供上下文相关的提案和见解。透过利用人工智慧，团队可以缩短开发週期、提高程式码品质并专注于解决复杂问题。

企业采用人工智慧工具的情况

企业对人工智慧工具的快速采用是推动人工智慧增强型开发市场发展的主要动力。越来越多的企业将GitHub Copilot和Amazon CodeWhisperer等智慧助理整合到开发工作流程中，以提高生产力并减少人工作业。这些工具简化了编码、调试和文件编写流程，从而加快交货速度并提高软体品质。随着企业寻求可扩展且高效的解决方案，人工智慧驱动的开发平台正变得至关重要，推动着各个垂直产业和地区的市场成长。

高昂的实施成本

儘管人工智慧增强开发具有巨大的变革潜力，但高昂的实施成本仍然是其普及应用的一大障碍。将人工智慧工具整合到现有开发环境中通常需要对基础设施、培训和客製化进行大量投资。中小企业可能难以证明领先性，尤其是在投资回报无法立即实现的情况下。此外，持续的维护和更新也会加重财务负担。这些成本相关的挑战会减缓人工智慧增强开发的应用速度，尤其是在新兴市场和预算受限的组织中。

人工智慧在各行业的应用激增

人工智慧在各行业的快速应用为人工智慧辅助开发带来了巨大机会。从金融、製造到教育、零售，各行各业都在采用人工智慧来优化营运、提升使用者体验。这种跨产业的需求推动了对能够适应各种应用场景的智慧开发工具的迫切需求。随着人工智慧成为一项策略要务，人工智慧辅助编码、配置和部署解决方案的市场有望呈指数级增长，从而开闢新的收入来源和创新途径。

资料隐私和管治问题

资料隐私和管治问题是人工智慧增强型开发市场成长的一大障碍。开发人员在安全管理敏感资料方面面临许多挑战，尤其是在人工智慧工具依赖云端基础环境和大型资料集的情况下。监管的复杂性和对违规的担忧阻碍了企业采用人工智慧技术。这些问题造成了采用阻力，减缓了创新，引发了伦理问题，并最终限制了人工智慧主导的开发解决方案在各行业的扩充性和可靠性。

新冠疫情的影响

新冠疫情加速了数位转型，间接推动了市场发展。远距办公和分散式团队增加了对自动化和智慧协作工具的依赖。开发人员开始使用人工智慧助理来维持生产力并有效率地管理工作负载。虽然疫情初期对IT预算造成了衝击，但向弹性、技术主导营运的长期转变却为人工智慧的应用创造了沃土。疫情后，对敏捷性和创新性的重视持续推动对人工智慧增强型开发解决方案的需求。

预计在预测期内，软体板块将成为最大的板块。

由于软体在人工智慧整合中发挥着至关重要的作用，预计在预测期内，软体领域将占据最大的市场份额。软体平台为部署智慧编码助理、自动化测试框架和即时调试工具提供了灵活的环境。随着企业将数位转型列为优先事项，对强大且可扩展的软体解决方案的需求日益增长。开发环境和云端基础平台的持续技术创新进一步巩固了该领域的地位，使其成为人工智慧主导生产力提升的关键所在。

预计在预测期内，医疗保健产业将实现最高的复合年增长率。

在对智慧诊断、个人化医疗和精简临床工作流程日益增长的需求驱动下，人工智慧工具正在革新医疗软体开发。开发人员正利用人工智慧建立安全、合规且高效的应用程序，以支援患者照护和资料管理。该领域的复杂性和监管要求使得人工智慧增强功能尤为重要，从而推动了医疗技术解决方案的快速应用和创新。

比最大的地区

亚太地区预计将在预测期内占据最大的市场份额，这主要得益于其强大的技术基础设施、政府支持和蓬勃发展的开发者生态系统。中国、印度和日本等国家正大力投资人工智慧研究和数位转型。该地区从製造业到金融科技等各行各业都在积极采用人工智慧工具来提升软体开发效率。凭藉其丰富的人才储备和企业日益增长的采用率，亚太地区正在崛起成为全球人工智慧主导创新中心。

复合年增长率最高的地区：

在预测期内，北美预计将展现出最高的复合年增长率，这主要得益于其先进的研发能力、强大的创业投资实力以及对最尖端科技的早期应用。该地区的科技巨头和新兴企业正在将人工智慧融入其开发流程，以获得竞争优势。监管环境的明朗化和成熟的数位生态系统也进一步推动了这一快速成长。在对智慧开发工具需求激增的背景下，北美在创新和市场扩张方面继续保持领先地位。

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订阅本报告的用户可从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球人工智慧增强开发市场（按组件划分）

  • 软体
    • 基于人工智慧的开发工具
    • 整合开发环境（IDE）
    • 程式码产生工具
  • 服务
    • 咨询
    • 执行
    • 支援和维护

第六章 全球人工智慧增强开发市场（以部署方式划分）

  • 云端基础的
  • 本地部署
  • 杂交种

第七章 全球人工智慧增强开发市场（按应用划分）

  • 程式码产生和自动补全
  • 程式码审查、测试自动化
  • 错误检测和调试
  • 软体开发中的预测分析
  • 其他用途

第八章 全球人工智慧增强型开发市场（按最终用户划分）

  • 资讯科技/通讯
  • 银行、金融服务和保险（BFSI）
  • 医疗保健
  • 零售与电子商务
  • 製造业
  • 车
  • 政府/国防
  • 其他最终用户

9. 全球人工智慧增强型开发市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 公司简介

  • Microsoft Corporation
  • CircleCI, Inc.
  • Google LLC
  • Databricks, Inc.
  • IBM Corporation
  • ServiceNow, Inc.
  • Amazon Web Services（AWS）
  • SmartBear Software, Inc.
  • OpenAI, LLC
  • SonarSource SA
  • GitLab Inc.
  • Tricentis GmbH
  • Replit
  • Snyk Ltd.
  • Tabnine Ltd.
Product Code: SMRC32055

According to Stratistics MRC, the Global AI-Augmented Development Market is accounted for $959.5 million in 2025 and is expected to reach $11,336.8 million by 2032 growing at a CAGR of 42.3% during the forecast period. AI-Augmented Development refers to the integration of artificial intelligence tools into the software development lifecycle to enhance productivity, accuracy, and speed. These tools assist developers by automating repetitive tasks such as code generation, debugging, testing, and documentation. Rather than replacing human developers, AI acts as a collaborative partner-an intelligent assistant that streamlines workflows and reduces errors. Technologies like GitHub Copilot, Amazon CodeWhisperer, and ChatGPT exemplify this shift, offering context-aware suggestions and insights. By leveraging AI, teams can shorten development cycles, improve code quality, and focus on solving complex problems, making software creation more efficient and scalable.

Market Dynamics:

Driver:

Enterprise Adoption of AI Tools

The rapid enterprise adoption of AI tools is a key driver of the AI-Augmented Development market. Organizations are increasingly integrating intelligent assistants like GitHub Copilot and Amazon CodeWhisperer into their development workflows to boost productivity and reduce manual effort. These tools streamline coding, debugging, and documentation, enabling faster delivery and improved software quality. As businesses seek scalable and efficient solutions, AI-powered development platforms are becoming indispensable, fueling market growth across sectors and geographies.

Restraint:

High Implementation Costs

Despite its transformative potential, high implementation costs pose a significant restraint to AI-Augmented Development adoption. Integrating AI tools into existing development environments often requires substantial investment in infrastructure, training, and customization. Smaller enterprises may struggle to justify the upfront expenses, especially when ROI is not immediate. Additionally, ongoing maintenance and updates add to the financial burden. These cost-related challenges can slow down adoption rates, particularly in emerging markets or budget-constrained organizations.

Opportunity:

Surge in AI Applications Across Industries

The surge in AI applications across industries presents a major opportunity for AI-Augmented Development. From finance and manufacturing to education and retail, sectors are embracing AI to optimize operations and enhance user experiences. This cross-industry demand is driving the need for intelligent development tools that can adapt to diverse use cases. As AI becomes a strategic imperative, the market for AI-assisted coding, testing, and deployment solutions is poised for exponential growth, unlocking new revenue streams and innovation pathways.

Threat:

Data Privacy and Governance Concerns

Data privacy and governance concerns significantly hinder the growth of the AI-Augmented Development market. Developers face challenges in managing sensitive data securely, especially when AI tools rely on cloud-based environments and large datasets. Regulatory complexities and fear of non-compliance deter enterprises from full-scale adoption. These issues create friction in deployment, slow innovation, and raise ethical questions, ultimately limiting the scalability and trustworthiness of AI-driven development solutions across industries.

Covid-19 Impact

The Covid-19 pandemic accelerated digital transformation, indirectly boosting the market. Remote work and distributed teams increased reliance on automation and intelligent collaboration tools. Developers turned to AI assistants to maintain productivity and manage workloads efficiently. While initial disruptions affected IT budgets, the long-term shift toward resilient, tech-driven operations created fertile ground for AI adoption. Post-pandemic, the emphasis on agility and innovation continues to drive demand for AI-enhanced development solutions.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period, due to its foundational role in enabling AI integration. Software platforms offer flexible environments for deploying intelligent coding assistants, automated testing frameworks, and real-time debugging tools. As enterprises prioritize digital transformation, demand for robust, scalable software solutions grows. Continuous innovation in development environments and cloud-based platforms further strengthens this segment's position, making it the cornerstone of AI-driven productivity enhancements.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate, due to rising demand for intelligent diagnostics, personalized medicine, and streamlined clinical workflows, AI tools are revolutionizing healthcare software development. Developers are leveraging AI to build secure, compliant, and efficient applications that support patient care and data management. The sector's complexity and regulatory demands make AI augmentation especially valuable, driving rapid adoption and innovation in health tech solutions.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to robust tech infrastructure, government support, and a thriving developer ecosystem. Countries like China, India, and Japan are investing heavily in AI research and digital transformation. The region's diverse industries-from manufacturing to fintech-are embracing AI tools to enhance software development. With a large talent pool and increasing enterprise adoption, Asia Pacific is emerging as a global hub for AI-driven innovation.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to advanced R&D, strong venture capital presence, and early adoption of cutting-edge technologies. The region's tech giants and startups alike are integrating AI into development workflows to gain competitive advantage. Regulatory clarity and a mature digital ecosystem further support rapid growth. As demand for intelligent development tools surges, North America continues to lead in innovation and market expansion.

Key players in the market

Some of the key players profiled in the AI-Augmented Development Market include Microsoft Corporation, CircleCI, Inc., Google LLC, Databricks, Inc., IBM Corporation, ServiceNow, Inc., Amazon Web Services (AWS), SmartBear Software, Inc., OpenAI, L.L.C., SonarSource SA, GitLab Inc., Tricentis GmbH, Replit, Snyk Ltd. and Tabnine Ltd.

Key Developments:

In September 2025, Microsoft Fabric Community Conference (FabCon), Microsoft unveiled major upgrades to its Fabric platform, including new Graph and Maps capabilities. These enhancements support deeper AI readiness and data contextualization, enabling organizations to build smarter agents and applications.

In September 2025, Workday announced a strategic collaboration with Microsoft to integrate AI agents built using Microsoft Azure AI Foundry and Copilot Studio into Workday's Agent System of Record (ASOR). This partnership aims to streamline enterprise AI management by verifying agent identity and ensuring secure, context-aware operations across business systems.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises
  • Hybrid

Applications Covered:

  • Code Generation & Auto-completion
  • Code Review & Testing Automation
  • Bug Detection & Debugging
  • Predictive Analytics for Software Development
  • Other Applications

End Users Covered:

  • IT & Telecom
  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare
  • Retail & E-commerce
  • Manufacturing
  • Automotive
  • Government & Defense
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI-Augmented Development Market, By Component

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 AI-Based Development Tools
    • 5.2.2 Integrated Development Environments (IDEs)
    • 5.2.3 Code Generation Tools
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Implementation
    • 5.3.3 Support & Maintenance

6 Global AI-Augmented Development Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premises
  • 6.4 Hybrid

7 Global AI-Augmented Development Market, By Application

  • 7.1 Introduction
  • 7.2 Code Generation & Auto-completion
  • 7.3 Code Review & Testing Automation
  • 7.4 Bug Detection & Debugging
  • 7.5 Predictive Analytics for Software Development
  • 7.6 Other Applications

8 Global AI-Augmented Development Market, By End User

  • 8.1 Introduction
  • 8.2 IT & Telecom
  • 8.3 Banking, Financial Services, and Insurance (BFSI)
  • 8.4 Healthcare
  • 8.5 Retail & E-commerce
  • 8.6 Manufacturing
  • 8.7 Automotive
  • 8.8 Government & Defense
  • 8.9 Other End Users

9 Global AI-Augmented Development Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Microsoft Corporation
  • 11.2 CircleCI, Inc.
  • 11.3 Google LLC
  • 11.4 Databricks, Inc.
  • 11.5 IBM Corporation
  • 11.6 ServiceNow, Inc.
  • 11.7 Amazon Web Services (AWS)
  • 11.8 SmartBear Software, Inc.
  • 11.9 OpenAI, L.L.C.
  • 11.10 SonarSource SA
  • 11.11 GitLab Inc.
  • 11.12 Tricentis GmbH
  • 11.13 Replit
  • 11.14 Snyk Ltd.
  • 11.15 Tabnine Ltd.

List of Tables

  • Table 1 Global AI-Augmented Development Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Augmented Development Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI-Augmented Development Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global AI-Augmented Development Market Outlook, By AI-Based Development Tools (2024-2032) ($MN)
  • Table 5 Global AI-Augmented Development Market Outlook, By Integrated Development Environments (IDEs) (2024-2032) ($MN)
  • Table 6 Global AI-Augmented Development Market Outlook, By Code Generation Tools (2024-2032) ($MN)
  • Table 7 Global AI-Augmented Development Market Outlook, By Services (2024-2032) ($MN)
  • Table 8 Global AI-Augmented Development Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 9 Global AI-Augmented Development Market Outlook, By Implementation (2024-2032) ($MN)
  • Table 10 Global AI-Augmented Development Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 11 Global AI-Augmented Development Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 12 Global AI-Augmented Development Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 13 Global AI-Augmented Development Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 14 Global AI-Augmented Development Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 15 Global AI-Augmented Development Market Outlook, By Application (2024-2032) ($MN)
  • Table 16 Global AI-Augmented Development Market Outlook, By Code Generation & Auto-completion (2024-2032) ($MN)
  • Table 17 Global AI-Augmented Development Market Outlook, By Code Review & Testing Automation (2024-2032) ($MN)
  • Table 18 Global AI-Augmented Development Market Outlook, By Bug Detection & Debugging (2024-2032) ($MN)
  • Table 19 Global AI-Augmented Development Market Outlook, By Predictive Analytics for Software Development (2024-2032) ($MN)
  • Table 20 Global AI-Augmented Development Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 21 Global AI-Augmented Development Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global AI-Augmented Development Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 23 Global AI-Augmented Development Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 24 Global AI-Augmented Development Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 25 Global AI-Augmented Development Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 26 Global AI-Augmented Development Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 27 Global AI-Augmented Development Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 28 Global AI-Augmented Development Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 29 Global AI-Augmented Development Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.