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1859829

全球人工智慧增強型開發市場：預測至 2032 年—按組件、部署方式、應用、最終用戶和地區分類的分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球 AI 增強開發市場預計到 2025 年將達到 9.595 億美元，到 2032 年將達到 113.368 億美元，預測期內複合年成長率為 42.3%。

人工智慧輔助開發是指將人工智慧工具整合到軟體開發生命週期中，以提高生產力、準確性和速度。這些工具透過自動化程式碼產生、偵錯、測試和文件編寫等重複性任務來輔助開發人員。人工智慧不會取代人類開發人員，而是作為協作夥伴和智慧助手，簡化工作流程並減少錯誤。 GitHub Copilot、Amazon CodeWhisperer 和 ChatGPT 等技術正是這種轉變的例證，它們能夠提供上下文相關的提案和見解。透過利用人工智慧，團隊可以縮短開發週期、提高程式碼品質並專注於解決複雜問題。

企業採用人工智慧工具的情況

企業對人工智慧工具的快速採用是推動人工智慧增強型開發市場發展的主要動力。越來越多的企業將GitHub Copilot和Amazon CodeWhisperer等智慧助理整合到開發工作流程中，以提高生產力並減少人工作業。這些工具簡化了編碼、調試和文件編寫流程，從而加快交貨速度並提高軟體品質。隨著企業尋求可擴展且高效的解決方案，人工智慧驅動的開發平台正變得至關重要，推動著各個垂直產業和地區的市場成長。

高昂的實施成本

儘管人工智慧增強開發具有巨大的變革潛力，但高昂的實施成本仍然是其普及應用的一大障礙。將人工智慧工具整合到現有開發環境中通常需要對基礎設施、培訓和客製化進行大量投資。中小企業可能難以證明領先性，尤其是在投資回報無法立即實現的情況下。此外，持續的維護和更新也會加重財務負擔。這些成本相關的挑戰會減緩人工智慧增強開發的應用速度，尤其是在新興市場和預算受限的組織中。

人工智慧在各行業的應用激增

人工智慧在各行業的快速應用為人工智慧輔助開發帶來了巨大機會。從金融、製造到教育、零售，各行各業都在採用人工智慧來最佳化營運、提升使用者體驗。這種跨產業的需求推動了對能夠適應各種應用場景的智慧開發工具的迫切需求。隨著人工智慧成為一項策略要務，人工智慧輔助編碼、配置和部署解決方案的市場有望呈指數級成長，從而開闢新的收入來源和創新途徑。

資料隱私和管治問題

資料隱私和管治問題是人工智慧增強型開發市場成長的一大障礙。開發人員在安全管理敏感資料方面面臨許多挑戰，尤其是在人工智慧工具依賴雲端基礎環境和大型資料集的情況下。監管的複雜性和對違規的擔憂阻礙了企業採用人工智慧技術。這些問題造成了採用阻力，減緩了創新，引發了倫理問題，並最終限制了人工智慧主導的開發解決方案在各行業的擴充性和可靠性。

新冠疫情的影響

新冠疫情加速了數位轉型，間接推動了市場發展。遠距辦公和分散式團隊增加了對自動化和智慧協作工具的依賴。開發人員開始使用人工智慧助理來維持生產力並有效率地管理工作負載。雖然疫情初期對IT預算造成了衝擊，但向彈性、技術主導營運的長期轉變卻為人工智慧的應用創造了沃土。疫情後，對敏捷性和創新性的重視持續推動對人工智慧增強型開發解決方案的需求。

預計在預測期內，軟體板塊將成為最大的板塊。

由於軟體在人工智慧整合中發揮著至關重要的作用，預計在預測期內，軟體領域將佔據最大的市場佔有率。軟體平台為部署智慧編碼助理、自動化測試框架和即時調試工具提供了靈活的環境。隨著企業將數位轉型列為優先事項，對強大且可擴展的軟體解決方案的需求日益成長。開發環境和雲端基礎平台的持續技術創新進一步鞏固了該領域的地位，使其成為人工智慧主導生產力提升的關鍵所在。

預計在預測期內，醫療保健產業將實現最高的複合年成長率。

在對智慧診斷、個人化醫療和精簡臨床工作流程日益成長的需求驅動下，人工智慧工具正在革新醫療軟體開發。開發人員正利用人工智慧建立安全、合規且高效的應用程式，以支援患者照護和資料管理。該領域的複雜性和監管要求使得人工智慧增強功能尤為重要，從而推動了醫療技術解決方案的快速應用和創新。

比最大的地區

亞太地區預計將在預測期內佔據最大的市場佔有率，這主要得益於其強大的技術基礎設施、政府支持和蓬勃發展的開發者生態系統。中國、印度和日本等國家正大力投資人工智慧研究和數位轉型。該地區從製造業到金融科技等各行各業都在積極採用人工智慧工具來提升軟體開發效率。憑藉其豐富的人才儲備和企業日益成長的採用率，亞太地區正在崛起成為全球人工智慧主導創新中心。

複合年成長率最高的地區：

在預測期內，北美預計將展現出最高的複合年成長率，這主要得益於其先進的研發能力、強大的創業投資實力以及對最尖端科技的早期應用。該地區的科技巨頭和新興企業正在將人工智慧融入其開發流程，以獲得競爭優勢。監管環境的明朗化和成熟的數位生態系統也進一步推動了這一快速成長。在對智慧開發工具需求激增的背景下，北美在創新和市場擴張方面繼續保持領先地位。

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  • 公司簡介
    • 對最多三家其他公司進行全面分析
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  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
  • 競爭基準化分析
    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球人工智慧增強開發市場（按組件分類）

  • 軟體
    • 基於人工智慧的開發工具
    • 整合開發環境（IDE）
    • 程式碼產生工具
  • 服務
    • 諮詢
    • 執行
    • 支援和維護

第6章 全球人工智慧增強開發市場（以部署方式分類）

  • 雲端基礎的
  • 本地部署
  • 混合

第7章 全球人工智慧增強開發市場（按應用分類）

  • 程式碼產生和自動補全
  • 程式碼審查、測試自動化
  • 錯誤檢測和調試
  • 軟體開發中的預測分析
  • 其他用途

第8章 全球人工智慧增強型開發市場（按最終用戶分類）

  • 資訊科技/通訊
  • 銀行、金融服務和保險（BFSI）
  • 醫療保健
  • 零售與電子商務
  • 製造業
  • 車
  • 政府/國防
  • 其他最終用戶

9. 全球人工智慧增強型開發市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章 公司簡介

  • 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.