PUBLISHER: SkyQuest | PRODUCT CODE: 1588491
PUBLISHER: SkyQuest | PRODUCT CODE: 1588491
Global Software Composition Analysis Market size was valued at USD 398.7 million in 2022 and is poised to grow from USD 483.22 million in 2023 to USD 2249.93 million by 2031, growing at a CAGR of 21.20% during the forecast period (2024-2031).
Software composition analysis (SCA) has emerged as a crucial solution in the face of growing open-source threats and vulnerabilities, aligning perfectly with the increasing adoption of open-source code. SCA tools conduct thorough evaluations of software code throughout all stages of the software development life cycle, focusing on the security of open-source components. By identifying and addressing software flaws proactively, organizations can prevent potential breaches due to malicious exploitation. The escalating demand for open-source software (OSS) can be attributed to its numerous advantages, including seamless integration, diverse component availability, and cost-effectiveness. However, these benefits come hand-in-hand with challenges, such as license compliance issues, security vulnerabilities, and quality assurance risks. SCA offers significant advantages, including automated checks for license compliance, streamlined identification and resolution of vulnerabilities, and enhanced flexibility in policy implementation to meet specific business needs. Additionally, SCA tools facilitate seamless product integration to support continuous development processes, empowering organizations to manage software risks effectively. As the landscape of open-source continues to evolve, the acceptance of software composition analysis is becoming increasingly vital, providing users with the necessary control over their software throughout its lifecycle while enabling a secure and efficient development environment. With data and insights pointing to a rise in open-source integration, SCA stands out as a key strategic investment for companies looking to safeguard their applications against burgeoning cyberthreats.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Software Composition Analysis market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Software Composition Analysis Market Segmental Analysis
Global Software Composition Analysis Market is segmented by Component, Deployment Type, Organization Size, Vertical, and region. Based on Component, the market is segmented into Solution, and Services. Based on Deployment Type, the market is segmented into On-Premises, and Cloud. Based on Organization Size, the market is segmented into Large Enterprises, and Small and Medium-Sized Enterprises. Based on Vertical, the market is segmented into Banking, Financial Services, and Insurance, Government and Defense, Telecom and IT, Retail and Ecommerce, Healthcare, Manufacturing, Automotive, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Software Composition Analysis Market
The Global Software Composition Analysis (SCA) market is significantly driven by the increasing internet browsing habits and the widespread adoption of mobile devices, particularly following the closure of schools and universities. This surge in digital engagement has heightened the demand for secure and efficient software solutions. Additionally, the rapid growth of e-commerce, coupled with the escalating use of real-time gross settlement systems (RTGS) and mobile transactions, underscores the necessity for robust software composition analysis tools. These tools are essential for identifying vulnerabilities within software components, thereby ensuring compliance and security in an increasingly complex digital ecosystem.
Restraints in the Global Software Composition Analysis Market
One of the significant market restraints for the Global Software Composition Analysis (SCA) market stems from the challenges posed by a high rate of false positives during scans. These erroneous alerts can lead to substantial wasted resources, as developers often invest considerable time and finances investigating and rectifying issues that ultimately do not pose genuine threats. Additionally, the complexity and advanced nature of SCA tools can overwhelm users who lack extensive cybersecurity expertise, potentially deterring their adoption and effective utilization. This perception of SCA technologies as cumbersome not only hampers developer productivity but also impacts overall market growth.
Market Trends of the Global Software Composition Analysis Market
The global software composition analysis (SCA) market is witnessing a significant trend towards the integration of SCA tools with DevOps methodologies. As organizations prioritize rapid product delivery to stay competitive, incorporating security into the DevOps pipeline has become crucial. This integration allows for real-time vulnerability detection and remediation seamlessly within continuous integration and continuous deployment (CI/CD) workflows. SCA solutions are evolving to support these fast-paced development cycles, ensuring that security measures do not hinder deployment efficiency. Consequently, the demand for agile, automated SCA tools is rising, positioning them as essential components for modern software development practices.