The future of software asset management: Trends to watch in 2026

Subscribe to our blog

Loading

As IT environments grow more complex, managing software assets efficiently becomes a critical task. For IT professionals, staying ahead of the curve in software asset management (SAM) isn’t just about compliance; it’s about optimizing costs, mitigating risks, and driving strategic value. As we have entered 2026, it’s a good occasion to look at the key drivers shaping the future of software asset management.

The rise of AI and machine learning in SAM

Artificial intelligence (AI) and machine learning (ML) are no longer just buzzwords; they’re becoming integral to advanced SAM strategies. In 2026, expect to see AI-powered SAM tools that can automatically identify software installations, track usage patterns, and even predict future licensing needs with remarkable accuracy. This means less manual effort for your team and more proactive decision-making. Imagine an AI identifying underutilized licenses across your organization and suggesting optimal reallocation, leading to significant cost savings.

Additional Read: The ascending intelligence: How AI is revolutionizing ITAM

Cloud-native SAM solutions are becoming standard

The shift to cloud computing continues at a rapid pace, and SAM is following suit. Traditional, on-premises SAM tools often struggle to keep up with dynamic cloud environments. In 2026, cloud-native SAM solutions will be the norm, offering greater scalability, flexibility, and real-time visibility into your cloud software consumption. These solutions will integrate seamlessly with your cloud platforms, providing a unified view of your entire software estate, whether on-premises or in the cloud.

Enhanced focus on software supply chain security

With the increasing threat of cyberattacks, software supply chain security is moving to the forefront. SAM professionals in 2026 will play a crucial role in vetting software vendors, monitoring for vulnerabilities in third-party components, and ensuring all software used within the organization adheres to strict security protocols. This trend emphasizes the need for SAM to go beyond just licensing and focus on the holistic security posture of software.

The convergence of SAM and IT asset management (ITAM)

While often treated as separate disciplines, SAM and ITAM are increasingly converging. In 2026, we’ll see a stronger emphasis on a unified approach to managing all IT assets, including hardware, software, and cloud resources. This integrated view provides a more comprehensive understanding of your IT infrastructure, allowing for better resource allocation, improved cost control, and enhanced operational efficiency.

Additional Read: Managing Software in the Multisite and Hybrid IT Environments of 2025

Proactive license optimization is key

Gone are the days of reactive license management. In 2026, the focus will be firmly on proactive license optimization. This involves continuously analyzing software usage data to identify opportunities for cost savings, such as reclaiming unused licenses, negotiating better terms with vendors, and aligning license types with actual needs. Advanced SAM tools will offer predictive analytics to help you anticipate future licensing requirements and avoid costly compliance issues.

The future of software asset management is dynamic and exciting, offering IT professionals new tools and strategies to tackle complex challenges. By embracing AI, cloud-native solutions like OpenLM, enhanced security, and a converged ITAM approach, you can transform SAM from a cost center into a strategic enabler for your organization.

Frequently Asked Questions (FAQ)

What are the key drivers shaping the future of Software Asset Management (SAM)?

The key drivers include the rise of AI and machine learning in SAM, the shift towards cloud-native SAM solutions, an enhanced focus on software supply chain security, the convergence of SAM and IT Asset Management (ITAM), and a move toward proactive license optimization.

How is AI and machine learning being used in SAM?

AI-powered SAM tools are expected to automatically identify software installations, track usage patterns, and predict future licensing needs with high accuracy. This helps teams make more proactive decisions and can lead to significant cost savings by identifying and suggesting the reallocation of underutilized licenses.

Why are cloud-native SAM solutions becoming the standard?

Traditional on-premises tools often struggle with dynamic cloud environments. Cloud-native SAM solutions offer greater scalability, flexibility, and real-time visibility into cloud software consumption. They integrate seamlessly with cloud platforms to provide a unified view of the entire software estate.

What is the convergence of SAM and ITAM?

The convergence is a stronger emphasis on a unified approach to managing all IT assets—hardware, software, and cloud resources—together. This integrated view provides a more comprehensive understanding of the IT infrastructure for better resource allocation, cost control, and operational efficiency.

What is proactive license optimization?

Proactive license optimization is the continuous analysis of software usage data to identify and act on opportunities for cost savings. This includes reclaiming unused licenses, negotiating better terms with vendors, and aligning license types with actual needs, often using predictive analytics from advanced SAM tools.

What role does SAM play in software supply chain security?

SAM professionals are crucial for vetting software vendors, monitoring for vulnerabilities in third-party components, and ensuring all software used adheres to strict security protocols. This expands the SAM role beyond just licensing to focus on the holistic security posture of the software.

Leave a Reply

Your email address will not be published. Required fields are marked *