70% of Fortune 500 companies are still running software that's over 20 years old
The legacy modernization market is on track to grow from $24.98B to $56.87B by 2030, and 98% of organizations that modernize report measurable gains in security, reliability, and scalability.
Legacy technology debt isn't shrinking — it's becoming a bigger competitive liability even as the tools to fix it get better and cheaper.
How much legacy debt is actually out there
70% of Fortune 500 companies are still operating software that's more than two decades old, according to DreamFactory's 2026 legacy system modernization research. It isn't just the private sector: a US Government Accountability Office report found the federal government spends roughly 80% of its IT budget simply maintaining legacy systems, leaving a fraction for building anything new or competitive.
The market is scaling to meet it
The legacy modernization market reached $24.98 billion in 2025 and is projected to grow to $56.87 billion by 2030 — a 17.92% compound annual growth rate. Cloud-based modernization approaches already capture 67.78% of that market, and on average, roughly 51% of enterprise workloads now run in public clouds, a share that has grown steadily year over year.
AI is now part of how modernization gets done
More than 75% of enterprises are using AI as part of their modernization strategy itself — for code analysis, migration planning, and testing — not just as the end goal of the modernized system. That's changed the economics: complex US modernization programs in 2026 commonly run $150,000 to $400,000, with more targeted, narrowly scoped efforts costing meaningfully less.
The gains are consistent, not occasional
98% of organizations that complete a modernization initiative report measurable benefits — improved security, reliability, and scalability chief among them. That's a notably high hit rate for a category of project that used to have a reputation for running over budget and under-delivering.
What this means for growing businesses
The combination of AI-assisted migration tooling and cloud-native target architectures has changed what a modernization project actually costs and how long it takes — a project that would have been a multi-year, enterprise-only undertaking five years ago is now realistic for a mid-market business with a scoped, phased approach. See Cor Advance Solutions' app modernization services for what a phased legacy-to-cloud migration looks like without the multi-year enterprise timeline.
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