The Code Review Market is predicted to grow at an 8.24% CAGR during the forecast period for 2024-2031.
Code review is the systematic method by which developers' tools examine and assess source code in order to find errors, guarantee code quality, and uphold standards compliance, improving the general functioning, security, and maintainability of software programs. The necessity of error-free software is driving the market for code review, growing concerns about cybersecurity, and the increasing importance of code quality.
The need for collaborative development workflows and the development of automated technologies are also driving the market's expansion. Furthermore, the code review market could see growth in the next years due to businesses in the code review industry concentrating on creating cutting-edge solutions to improve teamwork, expedite code analysis, and guarantee security. They collaborate directly with businesses to enhance software development processes and raise the calibre of code by utilizing automation, artificial intelligence, and integrations.
However, the high infrastructure cost of code review, the need for qualified personnel, and the strict regulations have hindered the market growth. Additionally, the demand for code review solutions to assist distant development teams increased as a result of the COVID-19 pandemic, which hastened the adoption of remote work. However, economic uncertainty hindered overall market growth by delaying investments in innovative solutions, especially among small and medium-sized businesses. The increasing investment in code review innovative technology and efficient utilization also presents an opportunity for the code review market.
The code review market is segmented based on type, application, and organization size. Based on the type, the market is segmented into on-premise and cloud-based. By application, the market is segmented into individual and enterprise. The organization size segment is further categorised into small, medium, and large.
On-premise is expected to hold a major global market share in 2023 in the code review market because of its superior data security, personalization options, and command over delicate codebases. Additionally, their preference for cloud-based alternatives is driven by businesses with stringent compliance requirements, such as healthcare and finance, where safeguarding intellectual property and upholding regulatory standards are essential, which is driving the segment growth.
The enterprise segment is growing in the code review market because of the necessity for effective teamwork among big development teams, the growing popularity of DevOps approaches, and the increased emphasis on enhancing code review security and quality. Moreover, code review solutions are highly valued by enterprises for their ability to simplify processes, guarantee conformity with industry standards, and shorten software product time-to-market. This is driving significant growth in the code review market.
The North American code review market is expected to note the highest market share in revenue in the near future. This can be attributed to state-of-the-art information technology infrastructure, heightened emphasis on cybersecurity, and the existence of prominent tech companies investing in developing code review solutions. In addition, the Europe is expected to grow rapidly in the code review market because the IT industry is growing, more people are using software development tools, digital transformation is getting more attention, and the government supports technology innovation in emerging economies.
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Report Attribute |
Specifications |
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Growth Rate CAGR |
CAGR of 8.24% from 2024 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Million and CAGR from 2024 to 2031 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
Type, Application, Organization Size |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
GitHub, Bitbucket, GitLab, Gerrit, Crucible, Review Board, Upsource, Phabricator, CodeClimate, Codacy, CodeScene, CodeFactor, Codebrag, OverOps, DeepSource, Better Code Hub, CodeGuru, SonarCloud, Sider, CodeStream, CodeCollaborator, CodeSonar, PullApprove, Codetree, Gitcolony and Others |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Code Review Market Snapshot
Chapter 4. Global Code Review Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Code Review Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Code Review Industry Trends
Chapter 5. Code Review Market Segmentation 1: By Type, Estimates & Trend Analysis
5.1. Market Share by Type, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Type:
5.2.1. On-premise
5.2.2. Cloud-based
Chapter 6. Code Review Market Segmentation 2: By Application, Estimates & Trend Analysis
6.1. Market Share by Application, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Applications:
6.2.1. Individual
6.2.2. Enterprise
Chapter 7. Code Review Market Segmentation 3: By Organization Size, Estimates & Trend Analysis
7.1. Market Share by Organization Size, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Organization Sizes:
7.2.1. Small
7.2.2. Medium
7.2.3. Large
Chapter 8. Code Review Market Segmentation 6: Regional Estimates & Trend Analysis
8.1. Global Code Review Market, Regional Snapshot 2023 & 2031
8.2. North America
8.2.1. North America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
8.2.1.1. US
8.2.1.2. Canada
8.2.2. North America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.2.3. North America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.2.4. North America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2024-2031
8.3. Europe
8.3.1. Europe Code Review Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
8.3.1.1. Germany
8.3.1.2. U.K.
8.3.1.3. France
8.3.1.4. Italy
8.3.1.5. Spain
8.3.1.6. Rest of Europe
8.3.2. Europe Code Review Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.3.3. Europe Code Review Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.3.4. Europe Code Review Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2024-2031
8.4. Asia Pacific
8.4.1. Asia Pacific Code Review Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
8.4.1.1. India
8.4.1.2. China
8.4.1.3. Japan
8.4.1.4. Australia
8.4.1.5. South Korea
8.4.1.6. Hong Kong
8.4.1.7. Southeast Asia
8.4.1.8. Rest of Asia Pacific
8.4.2. Asia Pacific Code Review Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.4.3. Asia Pacific Code Review Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.4.4. Asia Pacific Code Review Market Revenue (US$ Million) Estimates and Forecasts By Organization Size, 2024-2031
8.5. Latin America
8.5.1. Latin America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
8.5.1.1. Brazil
8.5.1.2. Mexico
8.5.1.3. Rest of Latin America
8.5.2. Latin America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.5.3. Latin America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.5.4. Latin America Code Review Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2024-2031
8.6. Middle East & Africa
8.6.1. Middle East & Africa Code Review Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
8.6.1.1. GCC Countries
8.6.1.2. Israel
8.6.1.3. South Africa
8.6.1.4. Rest of Middle East and Africa
8.6.2. Middle East & Africa Code Review Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.6.3. Middle East & Africa Code Review Market Revenue (US$ Million) Estimates and Forecasts by application, 2024-2031
8.6.4. Middle East & Africa Code Review Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2024-2031
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. GitHub
9.2.1.1. Business Overview
9.2.1.2. Key Product/Service Offerings
9.2.1.3. Financial Performance
9.2.1.4. Geographical Presence
9.2.1.5. Recent Developments with Business Strategy
9.2.2. Bitbucket
9.2.3. GitLab
9.2.4. Gerrit
9.2.5. Crucible
9.2.6. Review Board
9.2.7. Upsource
9.2.8. Phabricator
9.2.9. CodeClimate
9.2.10. Codacy
9.2.11. CodeScene
9.2.12. CodeFactor
9.2.13. Codebrag
9.2.14. OverOps
9.2.15. DeepSource
9.2.16. Better Code Hub
9.2.17. CodeGuru
9.2.18. SonarCloud
9.2.19. Sider
9.2.20. CodeStream
9.2.21. CodeCollaborator
9.2.22. CodeSonar
9.2.23. PullApprove
9.2.24. Codetree
9.2.25. Other Market Players
Code Review Market By Type-
Code Review Market By Application-
Code Review Market By Organization Size-
Code Review Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
