Generative Code Review Global Market Report 2025

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.

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 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.

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.

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.

This product will be delivered within 3-5 business days.