COMPUTER SOFTWARE ASSURANCE (CSA) MARKET ANALYSIS

Computer Software Assurance (CSA) MarketSize and Trends

The global computer software assurance (CSA) market is estimated to be valued at US$ 8.48 Billion in 2023 and is expected to reach US$ 20.00 billion by 2030, growing at a compound annual growth rate (CAGR) of 13% from 2023 to 2030

The Computer Software Assurance (CSA) market is a dynamic and rapidly expanding sector that focuses on ensuring the security, reliability, and quality of computer software. With the ever-growing reliance on software applications in various industries, including finance, healthcare, e-commerce, and manufacturing, organizations are increasingly recognizing the need to invest in CSA to protect their digital assets and mitigate risks.

Computer Software Assurance (CSA) Market Trends:

• Increased Emphasis on Application Security: Application security is becoming a critical focus area for organizations, with a shift towards proactive measures to identify and address vulnerabilities in software applications. CSA is moving beyond traditional network and infrastructure security to focus on secure coding practices, secure design principles, and comprehensive testing methodologies. A 2021 survey by the Federal DevOps Institute showed over 65% of federal agencies now use some form of DevOps practices, up from just 25% in 2017.
• Adoption of Automation and Artificial Intelligence: Automation tools and artificial intelligence (AI) technologies are being leveraged in CSA to enhance efficiency and accuracy. AI-driven code analysis, vulnerability scanning, and automated testing solutions help identify vulnerabilities and security weaknesses more effectively. These technologies also aid in threat intelligence, incident response, and security analytics. In 2022, According to the White House's Report to the President on Cybersecurity Protection of the Nation's Critical Infrastructure (October 2020), autonomous software assurances embedded within the software development process can improve code security by an average of 35% compared to traditional testing methods.