TL;DR Summary: BMC has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms (SOAPs), marking its third consecutive year in this position. This acknowledgment underscores BMC's dedication to managing complex hybrid orchestration.
- Control-M facilitates end-to-end business workflows across various technologies.
- Innovations include AI Workflow Creator and Control-M Data Assurance for improved operational efficiency.
BMC has been recognized, for the third consecutive year, as a Leader in the 2026 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms (SOAPs). We believe this recognition reflects our continued commitment to helping organizations orchestrate end-to-end business services across increasingly complex hybrid environments, while advancing the future of enterprise orchestration for AI, event-driven operations, and data-driven business processes.
What drives Control-M's position in the SOAPs market
Our strategy is focused on helping customers orchestrate end-to-end business workflows across the enterprise.
As organizations modernize, business services increasingly span applications, data platforms, cloud services, file transfers, AI technologies, and core systems. The challenge is no longer simply automating tasks. It is coordinating the end-to-end flow of work across these technologies while maintaining visibility, governance, reliability, and control.
We believe Control-M's position in the market reflects our focus on helping enterprises manage this complexity through a unified orchestration platform. By connecting workflows across cloud, SaaS, data, Agentic AI, distributed, and mainframe environments, Control-M helps organizations orchestrate business outcomes rather than isolated technology activities.
Customers can modernize at their own pace through a hybrid operating model that combines SaaS innovation with self-hosted deployment flexibility when governance, compliance, data residency, or operational requirements demand it.
How Control-M continued to advance in 2026
Over the past year, Control-M introduced innovations designed to help customers orchestrate increasingly dynamic, data-driven, and AI-enabled business services.
Our AI strategy is focused on more than adding AI assistants. We have two major focus areas in our AI strategy:
- Embedding Agentic AI across the workflow lifecycle to help teams design, understand, operate, and optimize, the workflows that power critical business workflows.
- Orchestrating and governing AI agents safely as they become part of business workflows across the enterprise.
New capabilities such as AI Workflow Creator help users translate business intent into operational workflows, while Execution Insights, workflow explainability, and agentic root cause analysis help teams better understand workflow behavior, accelerate troubleshooting, and uncover optimization opportunities. Together, these innovations help organizations operate increasingly complex business services more efficiently and with greater confidence.
As organizations move beyond AI experimentation and begin operationalizing AI at scale, they face a different challenge: orchestrating AI agents alongside applications, data pipelines, and core business workflows. To address this need, Control-M expanded support for AI-agents through integrations with technologies such as CrewAI, LangGraph, and Snowflake Cortex, helping organizations govern, monitor, and orchestrate AI-Agents as part of end-to-end enterprise workflows with policies and guardrails
Control-M also expanded support for event-driven orchestration, enabling workflows to respond dynamically to business and technology events. As organizations move beyond static schedules toward more responsive operating models, automation increasingly depends on timely and trustworthy data. To support this shift, we introduced Control-M Data Assurance, which helps organizations validate data quality as part of operational workflows. By embedding data validation directly within workflow orchestration, Control-M helps customers ensure that the events, decisions, and processes driving business outcomes are based on trusted data, reducing the risk of issues propagating downstream.
When we look across industries today, it's clear that the pace of change continues to accelerate. New business models are emerging, existing industries are being reshaped, and AI is becoming part of everyday operations. Behind all of this is a growing web of applications, data, infrastructure, and intelligent agents that organizations must connect and manage.
That complexity is what makes automation and orchestration more challenging than ever. It's also why our mission remains as relevant today as it was when Control-M was first introduced: helping customers bring order to complexity and turn it into business outcomes. Our focus has always been on simplifying how work gets done across the enterprise.
As organizations move AI agents from experimentation into production, trust becomes just as important as innovation. Before you put agents into production, you need technology you can trust and a partner with a proven track record of delivering business-critical outcomes across industries. The same trust that thousands of customers around the world have placed in BMC to run and orchestrate some of their most important business services will help them operationalize AI with confidence. When organizations consider what's next, they should start with the foundation for enterprise AI. BMC First.
Looking Ahead
Read the full Gartner report to learn why BMC was recognized as a Leader for its Control-M solution in the 2026 Gartner Magic Quadrant for Service Orchestration and Automation Platforms and explore the latest innovations shaping the future of enterprise orchestration.
Gartner, Magic Quadrant for Service Orchestration and Automation Platforms, Hassan Ennaciri, Daniel Betts, Chris Saunderson, 5 August 2026
"Gartner, Magic Quadrant for Service Orchestration and Automation Platforms, Hassan Ennaciri, Daniel Betts, Chris Saunderson, 5 August 2026
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