Software composition analysis (SCA) is an automated approach
for determining which open source software is present in a codebase. The
purpose of this analysis is to assess security, licensing compliance, and code
quality.
Open source licence constraints and requirements must be
understood by businesses. Manually tracking these commitments became too
time-consuming, and it frequently ignored code and its associated problems.
SCA, an automated solution, was created, and it was expanded from this first
use case to examine code security and quality.
The research methodology used to estimate and forecast the
software composition analysis market began with secondary sources such as
annual reports; press releases; associations and consortiums, such as the IEEE
Cyber Security Community; Information Security Research Association (ISRA);
Information Systems Security Association (ISSA); RSA Security; the Sys Admin,
Audit, Network, and Security (SANS) Institute; and a survey of software
composition analysis vendors. In order to segment the market, vendor offerings
were also taken into account. From the revenues of significant participants in
the industry, the entire market size of the worldwide market was calculated
using the bottom-up technique.
Components, organisation sizes, deployment types, verticals,
and countries have all been used to segment the software
composition analysis market. The services category is predicted to
increase at a faster CAGR than the other components throughout the forecast
period, while the solutions sector is expected to have the biggest market size
in 2017. The software composition analysis solution and services ensure that
open-source code, components, and software do not interfere with project
functionality or negatively impact user experience. Vulnerability detection,
risk management, alerting, and reporting, licencing management, policy
administration, and remediation are all features of the software composition
analysis solution.