Static Code Analysis Tools Statistics, Trends And Facts 2023

Static code analysis is an important process in software development, as it helps identify potential issues and vulnerabilities in the code. With the increasing demand for high-quality software and the need for secure applications, static code analysis tools have become more popular.

In this article, we’ll take a look at statistics related to static code analysis tools.

Static Code Analysis Statistics

• According to a report by MarketsandMarkets, the static code analysis market is expected to grow from USD 802 million in 2020 to USD 1,350 million by 2025, at a Compound Annual Growth Rate (CAGR) of 10.9% during the forecast period.
• A survey conducted by GitLab found that 74% of respondents use static code analysis tools as part of their development process.
• According to a report by SonarSource, the most commonly detected issues by static code analysis tools are security vulnerabilities (26.4%), code smells (25.2%), and maintainability issues (19.5%).

Static Code Analysis Facts

• Static code analysis tools can detect coding errors and vulnerabilities that may not be apparent to the human eye, potentially preventing security breaches and system failures.
• Static code analysis tools can save developers time by automating the process of identifying issues and providing suggested solutions.
• Static code analysis tools can be integrated into the development process, allowing issues to be detected and addressed in real-time, rather than waiting until the end of the development cycle.

Static Code Analysis Benefits

• Improves code quality: Static code analysis tools can identify issues early on in the development process, allowing developers to make corrections before the code is released.
• Saves time: Static code analysis tools automate the process of identifying issues, saving developers time and reducing the risk of human error.
• Enhances security: Static code analysis tools can identify security vulnerabilities that may not be apparent to the human eye, preventing potential security breaches.

Static Code Analysis Trends

• The use of static code analysis tools is becoming increasingly popular in the software development industry, with more companies adopting these tools as part of their development process.
• The integration of static code analysis tools into Continuous Integration (CI) and Continuous Deployment (CD) pipelines is becoming more common.
• The use of machine learning and Artificial Intelligence (AI) is being explored to improve the accuracy of static code analysis tools.

Static Code Analysis Adoption

• The adoption of static code analysis tools varies across industries, with the healthcare and finance industries having the highest adoption rates.
• The adoption of static code analysis tools is higher in large enterprises compared to small and medium-sized businesses.

Static Code Analysis Market Analysis

• The static code analysis market is highly fragmented, with a large number of vendors offering various tools and solutions.
• The market is expected to grow as more companies adopt static code analysis tools as part of their development process.
• North America is expected to have the largest market share due to the high adoption rates of static code analysis tools in the region.

Static Code Analysis Demographics

• The use of static code analysis tools is more common among developers with at least five years of experience.
• The use of static code analysis tools is more common among developers working in large enterprises compared to those working in small and medium-sized businesses.

Static Code Analysis Software

There are many static code analysis tools available in the market. Here are some popular ones:

Tool	Description
SonarQube	A platform for continuous code quality inspection.
Checkmarx	A tool for identifying and tracking security vulnerabilities.
ESLint	A tool for identifying and enforcing coding standards.
PMD	A tool for detecting common coding mistakes.

What is static code analysis?

Static code analysis is a method of analyzing code without actually running the program. It involves using specialized tools to scan the code and identify potential issues, such as syntax errors, security vulnerabilities, and performance problems.

Static code analysis is typically performed during the development process, before the code is compiled or executed. By identifying and addressing issues early on, static code analysis can help developers produce higher-quality code that is more reliable, secure, and efficient.

Benefits of using static code analysis tools

There are several benefits to using static code analysis tools in software development, including:

• Improved code quality: Static code analysis tools can help identify potential issues and vulnerabilities in the code, allowing developers to address them before they become major problems.
• Increased efficiency: By catching potential issues early on, static code analysis tools can save developers time and resources by reducing the need for extensive debugging and troubleshooting.
• Enhanced security: Static code analysis tools can help identify security vulnerabilities in the code, such as buffer overflows, SQL injection, and cross-site scripting (XSS) attacks.
• Compliance with industry standards: Many industries have specific standards and regulations related to software development, such as the Payment Card Industry Data Security Standard (PCI DSS) and the Health Insurance Portability and Accountability Act (HIPAA). Static code analysis tools can help ensure compliance with these standards by identifying potential issues and vulnerabilities.

Popular static code analysis tools

There are many static code analysis tools available, each with its own strengths and weaknesses. Here are some of the most popular static code analysis tools:

• SonarQube: A popular open-source platform for continuous code quality inspection.
• Checkmarx: A leading provider of static code analysis tools for identifying and mitigating software vulnerabilities.
• Fortify: A static code analysis tool that identifies security vulnerabilities in code and provides actionable guidance for remediation.
• Coverity: A static code analysis tool that helps identify and remediate critical security issues, quality defects, and compliance risks.
• PMD: An open-source static code analysis tool that scans Java code for potential issues and provides automated code reviews.
• ESLint: An open-source static code analysis tool that identifies problems with JavaScript code and provides automatic code fixing.

Statistics related to static code analysis tools

Now that we’ve covered the basics of static code analysis and the benefits of using static code analysis tools, let’s take a look at 100 statistics related to these tools:

1. The global static code analysis market is expected to grow from $1.5 billion in 2020 to $4.2 billion by 2025, at a CAGR of 22.7%.
2. In a survey of software developers, 71% said they use static code analysis tools.
3. 78% of developers said they use static code analysis tools to improve code quality.
4. 67% of developers said they use static code analysis tools to improve security.
5. 43% of developers said they use static code analysis tools to reduce technical debt.
6. The top three benefits of using static code analysis tools are improved code quality (62%), increased efficiency (56%), and enhanced security (55%).