Workload automation has moved far beyond its roots in batch processing. In 2025, it serves as the control layer for digital operations—coordinating not just technical infrastructure, but also business processes, user approvals, and cross-platform workflows. According to the latest EMA Research Report from Broadcom, 81 % of organizations have increased their use of automation jobs in the past year, reflecting its growing strategic importance across all sectors.
Cloud Becomes the New Standard for Automation
Cloud-based automation is now a core element of enterprise architecture. Around 30 % of automated processes already run in public cloud environments, and another 14 % operate in hybrid systems. Cloud platforms reduce infrastructure costs, simplify deployments, and accelerate time-to-value. Common use cases include automating cloud-native infrastructure and managing complex migration projects. As multi-cloud strategies mature, companies are prioritizing orchestration tools that work across container platforms, serverless applications, and traditional systems—ensuring seamless integration across the entire technology landscape.
Artificial Intelligence Adds Intelligence to Automation
Intelligent automation is no longer a future ambition—it’s becoming reality. While only 18 % of organizations currently use artificial intelligence in their automation strategies, more than 70 % plan to adopt it within the next year. Predictive analytics, real-time resource management, and automatic problem resolution are in especially high demand. These capabilities allow organizations to move from manual oversight to self-adjusting, cost-efficient environments. With intelligent insights and decisions driven by data, operations teams can shift their focus from maintenance to innovation.
Scaling with Structure: Governance and Empowerment
As automation expands, strong governance becomes essential. Today, nearly 80 % of organizations have set up dedicated teams or frameworks to manage tools, standards, and best practices across departments. These governance models are evolving to support agility. Many companies now operate hybrid models that combine centralized oversight with decentralized teams. This approach enables business units to act independently while still following shared rules around naming, security, and compliance. At the same time, non-technical staff—often called citizen developers—are increasingly building automation logic themselves. In almost 30 % of enterprises, business users actively contribute to automation initiatives.
Automation Moves to the Executive Agenda
Automation is no longer just a technical initiative. A full 90 % of executives now view it as a critical factor for achieving business outcomes—especially in the areas of efficiency, innovation, and cost reduction. At the same time, 87 % of respondents say that digital transformation efforts are placing more demands on automation than ever before. Organizations that embed automation into their strategic planning report faster release cycles, higher service reliability, and improved customer experiences.
Five Recommendations for Your 2025 Strategy
- Treat orchestration as a strategic layer.
Move beyond simple scheduling—automation now connects and coordinates business and technology in real time. - Focus on intelligence and visibility.
Predictive analytics and full-system monitoring are the foundations for self-healing and cost-effective automation. - Build scalable governance models.
A mix of standardization and team-level flexibility enables faster growth than either central control or full independence alone. - Support business users—safely.
Low-code platforms with built-in guidance allow non-technical teams to automate tasks while staying within quality and compliance guidelines. - Choose cloud-ready platforms from the start.
Select orchestration solutions that operate seamlessly across on-premises, hybrid, and multi-cloud environments to avoid costly rework later.
Conclusion
Workload automation is reaching a turning point. The combination of cloud adoption, executive backing, and intelligent technologies is transforming automation from an operational tool into a driver of enterprise agility. Organizations that embrace this evolution—by investing in smart orchestration, building effective governance, and empowering teams across all levels—will be best positioned to succeed in 2025 and beyond.
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