How AI, containers, and safety-critical requirements are reshaping strategy
Edge teams are under pressure to modernize, but many software strategies are struggling to support new workload and deployment requirements.
Organizations are introducing edge AI, containerized workloads, and new operating systems into software stacks that were not designed to support this level of change. The result is increasing complexity, fragmented environments, and decisions that become more difficult to unwind.
These challenges are intensifying as the pace of change accelerates across the embedded software stack. Containers for embedded systems are projected to grow at nearly 19% annually, while new OS platforms gain traction across edge deployments.
The question is whether current software strategies are equipped to support these technologies.
VDC’s latest research examines what is actually changing across embedded operating systems, containers, and virtualization. It separates real adoption from experimentation and highlights where current approaches are falling short.
What You’ll Learn
- Where containers and virtualization solutions are delivering real value today
- How safety-critical and regulatory requirements are reshaping software architectures
- How edge AI is changing performance, isolation, and orchestration requirements
- What is driving software strategies to shift toward open, hybrid, lifecycle-managed models
About the Research
Built on VDC’s analysis of the embedded and edge software ecosystem, including leading vendors such as Canonical, eSOL, Green Hills Software, QNX, Red Hat, SUSE, SYSGO, Wind River, and more.
Download the executive brief to see where current software strategies are missing the mark and what to do next.
