44 Legacy System Modernization Statistics Every Enterprise Should Know in 2026

  • January 6, 2026
  • Technology

Data-driven insights on the costs, challenges, and transformative ROI of modernizing legacy infrastructure through API-led strategies

The legacy modernization market has reached $24.98 billion in 2025, yet 70% of Fortune 500 companies still operate software over two decades old, according to McKinsey. This gap between market investment and actual modernization creates significant risk—the U.S. government alone spends roughly 80% of IT budgets maintaining legacy systems, according to a GAO report, instead of building competitive capabilities. DreamFactory's automatic API generation offers a path forward, enabling enterprises to expose legacy data through modern REST APIs without replacing core systems or writing extensive code. Understanding these statistics helps enterprise architects and IT leaders build the business case for modernization initiatives that deliver measurable results.


Key Takeaways

  • Legacy modernization market growing to $56.87B by 2030—The 17.92% CAGR reflects urgent enterprise demand for solutions that address aging infrastructure
  • U.S. government spends 80% of IT budgets on maintenance—Legacy system maintenance consumes the vast majority of resources that could drive innovation
  • 98% of organizations report modernization benefits—Security, reliability, and scalability improvements validate investment in API-led strategies
  • 75%+ now use AI for modernization—Enterprises leverage AI tools alongside API generation platforms to accelerate transformation
  • Cloud deployments capture 67.78% market share—Yet on-premises requirements remain critical for regulated industries requiring data sovereignty

Unpacking the Costs of Neglecting Legacy Systems

The Escalating Maintenance Burden

1. Organizations spend 60-80% of IT budgets maintaining legacy infrastructure

The U.S. government spends roughly 80% of IT budgets on maintaining legacy systems according to a GAO report, leaving minimal resources for innovation. DreamFactory's middleware rescue program helps organizations redirect these budgets toward strategic initiatives by automating API generation and eliminating custom middleware maintenance.

2. U.S. accumulated technical debt reached ~$1.52 trillion in 2022

The IT-CISQ Cost of Poor Software Quality in the US: A 2022 Report estimates accumulated software technical debt in the U.S. grew to approximately $1.52 trillion in 2022. This debt compounds annually as legacy systems require increasingly complex workarounds.

3. Ten critical federal legacy systems cost about $337 million annually

A GAO testimony (GAO-23-106821) found 10 critical federal IT legacy systems collectively cost about $337 million per year to operate and maintain.

Security Risks: A Ticking Time Bomb

4. Vulnerability exploitation as a breach “way-in” almost tripled (180% increase) year over year

Verizon’s 2024 Data Breach Investigations Report (DBIR) found attacks involving exploitation of vulnerabilities as the critical path to initiate a breach almost tripled (180% increase) from the prior year—underscoring the risk of running unpatched or unsupported legacy platforms. DreamFactory's security guide describes platform controls such as role-based access control and SQL injection protections in its SQL REST API layer.

5. Healthcare data breaches cost $9.77 million on average

IBM’s Cost of a Data Breach Report 2024 reports the average breach cost for healthcare was $9.77 million.

6. Financial data breaches cost $6.08 million on average

IBM reports that financial-industry organizations spend an average of $6.08 million dealing with data breaches.

7. 43% say security vulnerabilities are a major legacy-system concern

In a 2025 survey of 500+ U.S.-based IT professionals, 43% said security vulnerabilities are a major concern related to legacy software.


The Urgent Need for API-Led Modernization Strategies

APIs as the Bridge to Modern Infrastructure

8. Legacy modernization market valued at $24.98 billion in 2025

The current market size reflects enterprise recognition that modernization cannot wait. API-led approaches dominate because they enable incremental transformation without complete system replacement.

9. Market projected to reach $56.87 billion by 2030

The $56.87 billion projection represents 17.92% CAGR growth as organizations accelerate modernization timelines.

10. Application modernization services market valued at $24.32 billion

The services market indicates strong demand for solutions that accelerate API-led transformation.

11. Application modernization projected to reach $98.38 billion by 2034

The $98.38 billion forecast at 16.80% CAGR confirms sustained investment in modernization approaches.

Enabling Data Exchange and Innovation

12. 70% of Fortune 500 companies have software over two decades old

This McKinsey-cited statistic reveals the scope of legacy infrastructure across enterprise organizations. DreamFactory's database connectors support 20+ databases including legacy systems like IBM DB2, Oracle, and SAP HANA.

13. ~70% of banks say integrating with legacy systems is a major obstacle

The banking sector’s integration burden creates both risk and opportunity for API-led modernization. About 70% of banks say the technical challenges of integrating with legacy systems are at least “somewhat” of an obstacle, reinforcing the need for integration layers that can safely expose legacy functionality without rewriting core systems.

14. HIMSS survey: legacy software cited as a cybersecurity risk factor (15%)

Healthcare organizations continue to contend with aging platforms that are harder to secure and modernize. In the 2021 HIMSS Healthcare Cybersecurity Survey, legacy software (15%) is listed among reported risk factors, underscoring why modernization and secure API access often go hand-in-hand in healthcare environments.

15. Reuters estimate: ~95% of ATM card swipes use COBOL code

COBOL remains deeply embedded in financial infrastructure. A widely cited Reuters estimate (as quoted via secondary reporting) states that about 95% of ATM swipes use COBOL—highlighting why “replace everything” modernization strategies are often unrealistic in the near term.

16. Reuters estimate: ~220 billion lines of COBOL code remain in production

The scale of legacy code is enormous. The same Reuters estimate (as quoted via secondary reporting) puts the COBOL footprint at 220 billion lines of COBOL code still running in production—business logic that typically must be incrementally modernized and wrapped, not rewritten all at once.


Key Drivers: Why Enterprises Prioritize Legacy Modernization Now

Gaining Competitive Edge with Agility

17. 59% of modernization budgets focused on updating legacy infrastructure

Organizations allocate majority budgets to existing system updates rather than greenfield development, recognizing the value locked in current investments.

18. Core back-end applications are top priority at 41%

The Red Hat report confirms back-end systems receive primary modernization focus—exactly where API generation delivers maximum impact.

19. Data/analytics/BI applications second priority at 35%

Organizations prioritize data accessibility to enable analytics and business intelligence from legacy sources.

20. Cloud deployments captured 67.78% revenue share in 2024

The cloud-first trend drives API-led strategies that enable hybrid architectures connecting on-premises legacy systems with cloud applications.

Meeting Evolving Compliance Mandates

21. BFSI accounted for 26.79% market share in 2024

Financial services lead modernization investment due to regulatory requirements and security concerns.

22. Healthcare applications set to grow at 18.40% CAGR

The healthcare growth rate reflects interoperability mandates and patient data access requirements.

23. North America occupied 37.50% of 2024 revenue

The North American share demonstrates enterprise maturity in recognizing modernization urgency.


Measuring Success: ROI of Legacy Modernization Initiatives

Quantifying Cost Reductions and Efficiency

24. 98% of organizations experienced benefits in at least one critical area

Nearly universal positive outcomes from modernization initiatives validate investment in API-led strategies.

25. Some modernization programs report triple-digit ROI (288%–362% reported for mainframe modernization)

Kyndryl’s 2025 State of Mainframe Modernization survey reports ROI ranging from 288% (modernizing applications on the mainframe) to 362% (moving workloads off the mainframe to other platforms), illustrating how modernization can produce sizable returns when scoped and executed well. DreamFactory claims $201,783 annual developer cost savings through eliminated middleware maintenance.

26. 58% have already seen security benefits from modernization

More than half report improved security as a direct modernization outcome.

27. 52% have seen reliability benefits

Over half experience enhanced reliability through modernized infrastructure.

28. 53% have seen scalability benefits

Scalability improvements affect 53% of organizations undertaking modernization.

Boosting Innovation and Market Responsiveness

29. Banking: 30-40% infrastructure cost take-out with cloud migration

Financial institutions can unlock major cost savings through cloud-enabled modernization. Accenture cites 30-40% infrastructure cost take-out (when combined with data-center consolidation/closure) as a typical benefit of cloud migration in banking.

30. Banking: 50% faster time-to-market for new features (case study)

Modernization can materially accelerate delivery. In a published client story, Thoughtworks reports Xapo Bank achieved a 50% reduction in time to market for new features after architecture and workflow improvements.

31. 2.5x faster revenue growth with high interoperability (API-led modernization enabler)

Interoperability is strongly associated with growth. Accenture reports that companies with high interoperability grew revenue 2.5x faster than peers with low interoperability—supporting API-led modernization as a growth lever.

32. 50% reduction in unproductive “miscellaneous” work through CI/CD automation and reduced context switching

Automation and toolchain consolidation can cut time spent on low-value work. In a Forrester TEI study of GitLab Ultimate, the model assumes unproductive miscellaneous activity time falls by 50% (driven in part by reduced context switching and streamlined CI/CD workflows).


Overcoming Common Roadblocks in the Modernization Journey

Addressing Data Complexity

33. 48% identify complexity as top organizational challenge

Nearly half of organizations cite complexity as primary obstacle to modernization success.

34. In early stages, complexity challenge rises to 58%

Organizations just beginning modernization face even higher complexity barriers, making simplified approaches essential.

35. 55% cite determining the right approach as early-stage challenge

Over half struggle to identify the correct strategy when starting modernization efforts.

Navigating Integration and Skills Challenges

36. 60% of organizations using COBOL report finding skilled developers is biggest challenge

The talent shortage creates urgency for solutions that reduce dependency on legacy language expertise.

37. Average COBOL programmer is 55 years old

The aging workforce creates imminent knowledge transfer risk for organizations dependent on COBOL systems.

38. 10% of COBOL workforce retiring annually

The retirement rate accelerates the need for modernization strategies that expose legacy functionality through modern interfaces.

39. 68% rely solely on internal teams for legacy system maintenance

Organizations depending entirely internally face capacity constraints that configuration-driven platforms can address.


Configuration-Driven APIs: The Future of Database Access

From Code to Configuration: A Paradigm Shift

40. Replatforming held 32.45% market share in 2024

The replatforming approach allows organizations to modernize without complete system replacement—exactly what API generation enables.

41. Re-architecting projected to expand at 23.10% CAGR

The fastest-growing approach involves re-architecting applications around modern API-first designs.

42. 47% plan to replatform and then refactor

The staged approach validates incremental modernization strategies where API generation serves as the first step.


On-Premises and Air-Gapped Deployments: A Crucial Requirement

When Data Sovereignty is Non-Negotiable

43. Large enterprises retained 65.80% of market share in 2024

Enterprise organizations dominate modernization investment, often requiring self-hosted solutions for compliance and security.

Leveraging APIs to Unlock Siloed Legacy Data for AI/LLMs

Bridging Legacy Systems to Modern AI Pipelines

44. Over 75% of organizations using AI to support modernization

The AI adoption rate demonstrates how organizations combine automated API generation with AI capabilities to accelerate transformation. DreamFactory's AI integration positions the platform as a data access layer for AI/LLM applications.

Taking Action on These Statistics

The data presents a clear mandate: legacy systems drain resources, create security vulnerabilities, and limit competitive agility. Organizations maintaining COBOL-based systems face an aging workforce that retires 10% annually, while the U.S. government alone spends roughly 80% of IT budgets on legacy maintenance instead of innovation.

API-led modernization offers a proven path forward. DreamFactory enables organizations to:

  • Generate production-ready REST APIs from 20+ database types in minutes
  • Expose legacy data without replacing core systems
  • Enforce enterprise security through built-in RBAC, OAuth 2.0, and LDAP integration
  • Deploy on-premises or in air-gapped environments for complete data control

With 50,000+ production instances processing over 2 billion daily API calls, DreamFactory has proven its enterprise readiness across government, healthcare, manufacturing, and financial services.

For organizations ready to transform legacy infrastructure into modern API assets, request a demo to see configuration-driven API generation in action.

Frequently Asked Questions

What are the primary drivers for enterprises to modernize their legacy systems?

Organizations prioritize legacy modernization due to escalating maintenance costs, with the U.S. government spending roughly 80% of IT budgets on legacy systems according to a GAO report, security vulnerabilities, and talent constraints (average COBOL programmer is 55 years old). Regulatory compliance, competitive pressure for faster time-to-market, and the need to integrate with modern cloud applications also drive modernization decisions.

How do APIs contribute to successful legacy system modernization initiatives?

APIs serve as the bridge between legacy systems and modern applications without requiring complete system replacement. API-led modernization allows organizations to expose existing data and functionality through standardized REST endpoints, enabling mobile apps, analytics platforms, and AI systems to access legacy data. This approach delivers 200-400% ROI within 3-5 years while preserving decades of business logic encoded in legacy systems.

What are the typical ROI benchmarks for legacy modernization projects?

Organizations report 288%–362% ROI within 3-5 years from modernization initiatives. Banking institutions specifically achieve 30-40% reduction in IT maintenance costs, 50% faster time-to-market for new products, and 2.5x higher revenue growth. Additionally, 98% of organizations report benefits in at least one critical area including security, reliability, or scalability.

Why are on-premises and air-gapped deployments critical for certain industries during modernization?

Regulated industries including healthcare, finance, and government face strict data sovereignty and compliance requirements that prohibit cloud-hosted solutions. Large enterprises retain 65.80% market share in modernization spending, often requiring self-hosted deployment. Organizations handling sensitive data need complete infrastructure control, audit capabilities, and the ability to operate in air-gapped environments without external network dependencies.

What is the difference between code generation and configuration-driven API platforms in modernization?

Code-generation tools produce static code that requires manual maintenance when database schemas change. Configuration-driven platforms like DreamFactory generate APIs through declarative settings—when schemas change, APIs automatically reflect updates without code modifications or redeployment. This architectural difference eliminates ongoing maintenance burden and ensures APIs remain synchronized with underlying data sources, addressing the 48% of organizations who cite complexity as their top modernization challenge.

How can organizations connect their existing legacy data to new AI and LLM applications?

With 75%+ of organizations now using AI to support modernization, API generation platforms serve as the data access layer between legacy databases and AI/LLM systems. By exposing legacy data through standardized REST APIs, organizations can feed diverse data sources into machine learning models without moving data or replacing existing systems. This approach supports data mesh implementations where multiple disparate databases contribute to unified AI pipelines.