LICENSE MANAGEMENT MARKET ANALYSIS

Lack of standardization in license management can hamper the global license management market growth. When there is no standard process or platform for license management across organizations, it leads to several operational challenges. Without a standardized and structured approach, organizations have to rely on multiple systems and methods to track software licenses. This leads to inefficiencies, errors and excessive costs associated with license reconciliation, compliance and optimization. With differing license management protocols in place, it also becomes difficult for organizations to get a unified view of their license portfolios. This fragmented nature of license management hampers strategic decision-making regarding asset allocation, procurement planning and risk management.

This lack of cohesion and uniformity in license management processes can pose challenges for audits. Software auditors usually follow strict guidelines and standardized protocols to examine license compliance. However, in the absence of a set structure, audits take longer and become an arduous task. It increases the likelihood of non-compliance issues. This can lead to expensive penalties and lawsuits.

Market Opportunities: Integration of AI and machine learning in license management

The integration of artificial intelligence and machine learning technologies can offer growth opportunities for the global license management market. AI can help organizations automate previously manual tasks related to license procurement, allocation and compliance. Using machine learning algorithms, license usage patterns can be analyzed over time to optimize licensing agreements and budgets. This brings greater visibility into license holdings and deployments across different business units and geographies.

AI-powered auditing solutions can continuously monitor all endpoints to track software and detect any anomalies in real-time. This helps ensure adherence to licensing terms by identifying unlicensed installations or mismatched configurations. At the same time, customer experience is enhanced as AI assists in automating routine queries regarding licenses. Dialogflow and Alexa-enabled voice assistants can remotely help users with license requests, installations and troubleshooting issues. Such virtual support aids are becoming increasingly valuable amid hybrid work setups.

As organizations transition to cloud-first models, there has been rising need for flexible license management of SaaS applications and virtual desktop infrastructure. AI plays a key role by facilitating usage-based licensing through cloud-metering and consumption-based billing. Data gathered from cloud platforms is analyzed to only pay for what is consumed, improving operational efficiency, compliance and cost savings.