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한글목차
생성형 코드 리뷰 시장 규모는 최근, 비약적으로 확대하고 있습니다. 2024년 15억 9,000만 달러로 평가되었고, 2025년에는 21억 2,000만 달러에 달할 것으로 추정되며, CAGR 33.1%로 성장이 전망되고 있습니다. 이러한 성장은 코드 배포 가속화에 대한 수요 증가, 소프트웨어 개발의 인적 실수 감소 요구 증가, 개발자 생산성 증가, 클라우드 기반 코드 협업 플랫폼의 보급 확대, 안전하고 규정 준수 코드에 대한 수요 증가로 인한 것입니다.
생성형 코드 리뷰 시장 규모는 향후 수년간 급성장할 것으로 전망됩니다. 2029년에는 65억 8,000만 달러에 달할 것으로 예측되며, CAGR 32.8%로 성장할 전망입니다. 예측 기간 동안의 성장 요인으로는 지속적인 통합 및 전달 파이프라인 중시, 소프트웨어 테스트에서 생성형 인공지능 이용 확대, 효율적인 버그 검출 및 코드 최적화의 필요성 증가, 중요 애플리케이션에서의 컴플라이언스 및 보안에 대한 주목 증가, 하이브리드형(인간과 인공지능의 협동) 리뷰 워크플로우에 대한 수요 확대 등을 들 수 있습니다. 주요 동향으로는 컨텍스트 인식형 코드 리뷰를 위한 대규모 언어 모델의 진화, 인공지능을 활용한 자동 풀 리퀘스트 에이전트의 혁신, 개발자 피드백을 위한 설명 가능한 인공지능(XAI)의 진보, 클라우드 기반 인공지능 코드 분석 플랫폼의 혁신, 협동 코딩을 위한 멀티 에이전트 인공지능 시스템의 통합 등이 있습니다.
전자 건강 기록의 도입 확대는 안전하고 고품질의 의료 IT 소프트웨어에 대한 수요 증가에 의해 생성형 코드 리뷰 시장의 성장을 견인하고 있습니다. 전자 건강 기록(EHR)은 의료 제공업체가 임상, 관리 및 규제 목적으로 환자 정보를 안전하게 수집, 보관 및 관리하기 위해 사용하는 디지털 시스템입니다. EHR 도입 증가는 데이터 정밀도, 상호 운용성, 의료 기준에 대한 준거 향상의 필요성에 의한 것으로, 이것에는 신뢰성 및 안전성을 갖춘 소프트웨어 기반이 요구됩니다. 생성형 코드 리뷰는 개발자가 취약성을 감지하고 코드 품질을 향상시키며 의료 IT 애플리케이션이 보안, 개인정보 보호 및 성능 기준을 충족하는 데 도움을 주어 EHR을 지원합니다. 예를 들어, 2023년 9월 프랑스에 본부를 둔 정부간 조직인 경제협력개발기구(OECD)가 발표한 데이터에 따르면 일부 회원국에서 입원 환자의 전자 차단 도입률은 약 19%에서 약 96%로 상승하였으며, 디지털 기록 도입의 현저한 진전을 보였습니다. 따라서 전자 건강 기록의 이용 확대는 생성형 코드 리뷰 시장의 성장을 가속하고 있습니다.
생성형 코드 리뷰 시장에서 활동하는 주요 기업은 개발 속도 향상, 코드 정밀도 향상, 전개 리스크 저감, 인간에 의한 리뷰 담당자 및 자동화 시스템 간의 연계 효율화를 도모하기 위해 인공지능을 활용한 풀 리퀘스트 에이전트의 개발에 주력하고 있습니다. 인공지능을 활용한 풀 리퀘스트 에이전트는 코드 변경 자동 분석, 버그 식별, 취약성 플래그 지정, 코딩 표준 적용, 개발자 워크플로우 내에서 즉각적인 피드백 제공을 제공하는 지능형 리뷰 도우미입니다. 예를 들어, 2025년 3월에는 미국 거점의 코드 협업 플랫폼인 Graphite가 자동 피드백 제공, 풀 리퀘스트 요약, 수정 제안, 리포지토리 횡단적인 CI 자체 복구 기능을 지원하는 AI 코드 리뷰 에이전트 'Diamond'를 발표했습니다. 이 플랫폼에는 사용자 정의 가능한 리뷰 규칙, 코드 기반 인식 기능, GitHub 호환성, 자동 인사이트, 원 클릭 수정 등의 기능이 탑재되어 있으며, 엔지니어링 팀은 풀 요청 사이클 가속화, 수동 리뷰 작업 최소화, 인공지능에 의한 정밀성을 통한 코드 품질 향상을 실현할 수 있습니다. 이는 인간과 기계의 하이브리드 협업을 통한 개발 효율성 향상의 첨단 접근법을 보여줍니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향 및 전략
제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁 및 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석 및 전략 분석 프레임워크
세계의 생성 코드 리뷰 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인 및 억제요인)
최종 이용 산업의 분석
세계의 생성형 코드 리뷰 시장 : 성장률 분석
세계의 생성형 코드 리뷰 시장 실적 : 규모 및 성장(2019-2024년)
세계의 생성형 코드 리뷰 시장 예측 : 규모 및 성장(2024-2029년, 2034년)
세계의 생성 코드 리뷰 : 총 잠재 시장 규모(TAM)
제6장 시장 세분화
세계의 생성형 코드 리뷰 시장 : 컴포넌트별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
소프트웨어
서비스
세계의 생성형 코드 리뷰 시장 : 전개 모드별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
온프레미스
클라우드
세계의 생성형 코드 리뷰 시장 : 기업 규모별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
중소기업
대기업
세계의 생성형 코드 리뷰 시장 : 용도별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
버그 검출
코드 최적화
컴플라이언스 및 보안
다큐멘테이션
기타 용도
세계의 생성형 코드 리뷰 시장 : 최종 사용자별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
정보 기술(IT 및 통신)
은행, 금융서비스 및 보험(BFSI)
헬스케어
소매 및 전자상거래
제조업
기타 최종 사용자
세계의 생성형 코드 리뷰 시장 : 소프트웨어 유형별 세분화 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
코드 품질 분석 도구
보안 및 취약성 감지 도구
자동 리팩토링 툴
컴플라이언스 및 표준 검증 도구
커스텀 모델 트레이닝 플랫폼
통합 개발 환경 플러그인
세계의 생성형 코드 리뷰 시장 : 서비스 유형별 세분화 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
도입 및 통합 서비스
컨설팅 서비스
지원 및 유지보수 서비스
교육 및 교육 서비스
매니지드 코드 리뷰 서비스
제7장 지역별 및 국가별 분석
세계의 생성형 코드 리뷰 시장 : 지역별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
세계의 생성형 코드 리뷰 시장 : 국가별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도 및 기업 프로파일
생성형 코드 리뷰 시장 : 경쟁 구도
생성형 코드 리뷰 시장 : 기업 프로파일
Amazon Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
OpenAI LLC : 개요, 제품 및 서비스, 전략 및 재무 분석
GitHub Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
SonarSource SA : 개요, 제품 및 서비스, 전략 및 재무 분석
Snyk Limited : 개요, 제품 및 서비스, 전략 및 재무 분석
제31장 기타 주요 기업 및 혁신 기업
Google DeepMind Limited
Anthropic PBC
Sourcegraph Inc.
Codacy Lda
Diffblue Ltd.
Swimm Inc.
DeepSource Inc.
CodeRabbit Inc.
Aikido Security Inc.
Greptile Inc.
Qodo Inc.
Tabnine Inc.
CodeScene AB
Embold Technologies GmbH
Panto AI Inc.
제32장 세계 시장 경쟁 벤치마킹 및 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문 및 전략
생성형 코드 리뷰 시장(2029년) : 새로운 기회를 제공하는 국가
생성형 코드 리뷰 시장(2029년) : 새로운 기회를 제공하는 부문
생성형 코드 리뷰 시장(2029년) : 성장 전략
시장 동향에 기초한 전략
경쟁 전략
제36장 부록
AJY
영문 목차
영문목차
Generative code review is the automated assessment and enhancement of software code through generative artificial intelligence models that comprehend and generate programming logic. Its primary purpose is to improve code quality, identify vulnerabilities, and ensure compliance with best coding practices while minimizing human involvement. It also accelerates development processes, reduces manual review errors, enhances developer productivity, and supports continuous integration for more dependable and efficient software delivery.
The primary components of generative code review include software and services. Software consists of programs, data, and instructions that guide a computer or device to perform specific operations or functions. Deployment modes include on-premises and cloud, and it is utilized by both small and medium enterprises and large enterprises. The various applications include bug detection, code optimization, compliance and security, documentation, and other uses, and it serves multiple end-users such as information technology and telecommunications, banking, financial services and insurance, healthcare, retail and electronic commerce, manufacturing, and other industries.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.
The generative code review market research report is one of a series of new reports from The Business Research Company that provides generative code review market statistics, including the generative code review industry global market size, regional shares, competitors with the generative code review market share, detailed generative code review market segments, market trends, and opportunities, and any further data you may need to thrive in the generative code review industry. This generative code review market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The generative code review market size has grown exponentially in recent years. It will grow from $1.59 billion in 2024 to $2.12 billion in 2025 at a compound annual growth rate (CAGR) of 33.1%. The growth during the historic period can be attributed to the increasing demand for faster code deployment, the growing need to reduce human error in software development, the increasing focus on developer productivity, the growing adoption of cloud-based code collaboration platforms, and the rising demand for secure and compliant code.
The generative code review market size is expected to see exponential growth in the next few years. It will grow to $6.58 billion in 2029 at a compound annual growth rate (CAGR) of 32.8%. The growth during the forecast period can be attributed to the rising emphasis on continuous integration and delivery pipelines, the growing use of generative artificial intelligence in software testing, the rising need for efficient bug detection and code optimization, the increasing focus on compliance and security in critical applications, and the growing demand for hybrid human-artificial intelligence review workflows, with key trends including the advancement of large language models for context-aware code review, innovation in artificial intelligence-powered automated pull request agents, advancement in explainable artificial intelligence for developer feedback, innovation in cloud-based artificial intelligence code analysis platforms, and integration of multi-agent artificial intelligence systems for collaborative coding.
The increasing adoption of electronic health records is driving the growth of the generative code review market due to the growing need for secure and high-quality health IT software. Electronic health records are digital systems used by healthcare providers to securely collect, store, and manage patient information for clinical, administrative, and regulatory purposes. The rise in electronic health record adoption is attributed to the need for improved data accuracy, interoperability, and compliance with healthcare standards, which require reliable and secure software infrastructure. Generative code review supports electronic health records by helping developers detect vulnerabilities, enhance code quality, and ensure that health IT applications meet security, privacy, and performance standards. For instance, in September 2023, according to the Organisation for Economic Co-operation and Development (OECD), a France-based intergovernmental organization, inpatient hospital electronic medical record coverage rose to about 96% in some member countries from roughly 19%, indicating significant progress in digital record implementation. Therefore, the increasing use of electronic health records is fueling the growth of the generative code review market.
Key companies operating in the generative code review market are focusing on developing artificial intelligence-powered pull request agents to improve development speed, increase code accuracy, reduce deployment risks, and streamline collaboration between human reviewers and automated systems. Artificial intelligence-powered pull request agents are intelligent review assistants that automatically analyze code changes, identify bugs, flag vulnerabilities, enforce coding standards, and provide instant feedback within developer workflows. For instance, in March 2025, Graphite, a US-based code collaboration platform, launched Diamond, an artificial intelligence code review agent designed to deliver automated feedback, summarize pull requests, suggest fixes, and support CI self-healing across repositories. The platform includes features such as customizable review rules, codebase awareness, GitHub compatibility, automated insights, and one-click corrections, enabling engineering teams to accelerate pull request cycles, minimize manual review effort, and improve code quality through artificial intelligence-based precision, representing an advanced approach to enhancing development efficiency through hybrid human-machine collaboration.
In September 2025, Nvidia Corporation, a US-based technology company, acquired Solver for an undisclosed amount. Through this acquisition, Nvidia aims to enhance its artificial intelligence software capabilities by integrating autonomous coding agents into its existing development ecosystem, strengthening its position in end-to-end artificial intelligence infrastructure and accelerating enterprise adoption of AI-driven software tools. Solver Inc. is a US-based company specializing in artificial intelligence-based coding agents and generative code review solutions.
Major players in the generative code review market are Amazon Inc., OpenAI LLC, GitHub Inc., SonarSource SA, Snyk Limited, Google DeepMind Limited, Anthropic PBC, Sourcegraph Inc., Codacy Lda, Diffblue Ltd., Swimm Inc., DeepSource Inc., CodeRabbit Inc., Aikido Security Inc., Greptile Inc., Qodo Inc., Tabnine Inc., CodeScene AB, Embold Technologies GmbH, and Panto AI Inc.
North America was the largest region in the generative code review market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in generative code review report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the generative code review market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The generative code review market includes revenues earned by entities by providing services such as artificial intelligence (AI)-powered debugging assistance, compliance and standards verification, code refactoring services, custom model training services, and developer productivity enhancement services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Generative Code Review Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on generative code review market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for generative code review ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative code review market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Software; Services
2) By Deployment Mode: On-Premises; Cloud
3) By Enterprise Size: Small And Medium Enterprises; Large Enterprises
4) By Application: Bug Detection; Code Optimization; Compliance And Security; Documentation; Other Applications
5) By End-User: Information Technology (IT) And Telecommunications; Banking, Financial Services And Insurance (BFSI); Healthcare; Retail And E-Commerce; Manufacturing; Other End-Users
Subsegments:
1) By Software: Code Quality Analysis Tools; Security And Vulnerability Detection Tools; Automated Refactoring Tools; Compliance And Standards Verification Tools; Custom Model Training Platforms; Integrated Development Environment (IDE) Plugins
2) By Services: Implementation And Integration Services; Consulting Services; Support And Maintenance Services; Training And Education Services; Managed Code Review Services
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Table of Contents
1. Executive Summary
2. Generative Code Review Market Characteristics
3. Generative Code Review Market Trends And Strategies
4. Generative Code Review Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market
4.1. Supply Chain Impact from Tariff War & Trade Protectionism
5. Global Generative Code Review Growth Analysis And Strategic Analysis Framework
5.1. Global Generative Code Review PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Generative Code Review Market Growth Rate Analysis
5.4. Global Generative Code Review Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Generative Code Review Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Generative Code Review Total Addressable Market (TAM)
6. Generative Code Review Market Segmentation
6.1. Global Generative Code Review Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Software
Services
6.2. Global Generative Code Review Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
On-Premises
Cloud
6.3. Global Generative Code Review Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Small And Medium Enterprises
Large Enterprises
6.4. Global Generative Code Review Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Bug Detection
Code Optimization
Compliance And Security
Documentation
Other Applications
6.5. Global Generative Code Review Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Information Technology (IT) And Telecommunications
Banking, Financial Services And Insurance (BFSI)
Healthcare
Retail And E-Commerce
Manufacturing
Other End-Users
6.6. Global Generative Code Review Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Code Quality Analysis Tools
Security And Vulnerability Detection Tools
Automated Refactoring Tools
Compliance And Standards Verification Tools
Custom Model Training Platforms
Integrated Development Environment Plugins
6.7. Global Generative Code Review Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Implementation And Integration Services
Consulting Services
Support And Maintenance Services
Training And Education Services
Managed Code Review Services
7. Generative Code Review Market Regional And Country Analysis
7.1. Global Generative Code Review Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Generative Code Review Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
