The Three Software Management Trends Reshaping Enterprise IT in 2025

The Rise of AI Governance: Beyond Implementation to Management

The rapid proliferation of AI agents across enterprise environments has created a new imperative for organizations: establishing robust governance frameworks for AI deployment and management. IDC reports that 67% of the projected $227 billion AI spending in 2025 will come from enterprises embedding AI capabilities into their core business operations, making effective governance crucial. With the EU AI Act setting new standards for AI governance, organizations must now think beyond mere implementation to consider the full lifecycle management of their AI assets.

This shift brings software asset management to the forefront of AI governance. Traditional software management approaches must evolve to address unique challenges posed by AI systems, including version control for machine learning models, monitoring of AI agent deployments, and tracking of training data usage. Organizations need to establish clear protocols for AI asset inventory, usage monitoring, and compliance reporting.

“In 2024, technology and security leaders ran pilots across their enterprises to explore innovative applications of AI, but not all AI initiatives yielded the intended business outcomes. While this bold experimentation will continue in 2025, leaders will also focus heavily on putting the lessons learned into practice to ensure that their investments deliver true business value.” 

– Sharyn Leaver, Chief Research Officer at Forrester

The shift from piloting to operationalizing AI, creates a pressing need for comprehensive governance frameworks. The implications are significant: IT teams must now collaborate closely with data science teams, compliance officers, and business stakeholders to ensure AI governance aligns with both regulatory requirements and business objectives. This evolution represents a fundamental shift in how organizations think about software asset management in the AI era.

Business-Led IT: Balancing Innovation with Control

The second major trend reshaping software management is the continued shift toward business-led IT. During the Gartner IT IOCS conference, Gartner highlighted that 26% of business area staff now directly influence tech decisions, reinforcing the growing influence of business units in software investments. Organizations face the challenge of maintaining centralized oversight while enabling innovation at the edge.

The implementation of the NIS2 directive has added another layer of complexity to this challenge. Organizations must now ensure secure software supply chains across all business units, requiring a delicate balance between enabling autonomy and maintaining security standards. This has created a new imperative for software management teams: providing a single source of truth for hybrid environments while supporting decentralized decision-making.

Shadow IT further highlights the necessity of centralized oversight. Gartner indicates that by 2027, 75% of employees will acquire, modify, or create technology outside IT’s visibility. Successful organizations are responding by implementing flexible governance frameworks that enable business units to move quickly while maintaining visibility and control at the enterprise level. This includes establishing clear guidelines for software procurement, implementing automated compliance checks, and creating standardized processes for software requests and approval. 

Strategic Cost Management: The Need for Unified ROI Evaluation

Perhaps the most transformative trend in software management is the shift toward strategic cost management through unified ROI evaluation. Gartner predicts software costs will rise by 10% annually for the next three years, making strategic cost management crucial. Traditional approaches focusing solely on procurement discounts or cost savings are no longer sufficient in today’s complex software landscape.

Organizations need a more sophisticated approach to measuring and managing software value. This requires moving beyond simple metrics like license utilization or cost per user to consider broader business impact measures. Key considerations include:

• Company-wide deployment and software utilization
• Impact on employee productivity and business outcome
• Contribution to IT process automation and efficiency
• Integration capabilities and system interdependencies
• Security and compliance implications
• Scalability and future-readiness

The challenge lies in creating a standardized framework for evaluating these factors across different types of software investments. Organizations must develop consistent methodologies for measuring both tangible and intangible benefits, enabling more informed decision-making about software investments.

Looking Ahead: The Path Forward

As these trends evolve, organizations must adapt their approach to software management. Success in 2025 and beyond will require: 

1. Integrated governance frameworks that address both traditional software and AI assets
2. Flexible management structures that enable business-led innovation while maintaining central control
3. Sophisticated evaluation frameworks that capture the full value of software investments

Those who successfully navigate these trends will be better positioned to leverage their software assets as strategic advantages rather than viewing them merely as operational necessities. The future of software management requires a more nuanced, strategic approach that goes beyond traditional practices. By understanding and adapting to these trends, organizations can build more resilient, efficient, and value-driven software management practices for the future.

What’s next? Learn More in The SAM Forecast 2025 Webinar

Want to learn more about these trends and how they affect your organization? Watch our webinar “The SAM Forecast 2025: Future-proofing Your Software Strategy” here.