According to various calculations and estimates, more than 60% of organizations globally use outdated software. In the corporate sector, 70% of Fortune 500 companies rely on core software systems that are over two decades old.
Although these systems continue to function, the pressure and cost of maintaining them are rising year by year.
At a certain point, companies realize that the demands of AI integration, stricter security regulations, and the talent shortage expose the limitations of legacy architectures and necessitate modernization.
This article provides an independent comparison of the best companies in legacy systems modernization, including global system integrators and specialized engineering firms.
It evaluates expertise, delivery approach, and technical depth across the most relevant legacy software modernization companies in the USA and global markets.
What Is Legacy System Modernization?
Legacy system modernization refers to the process of updating, transforming, or replacing outdated software systems, infrastructure, and architectures so they fulfill current business and technical requirements. Basically, it is not a single method but a scope of approaches depending on risk, complexity, and business goals.
Modernization typically includes refactoring codebases, re-architecting monolithic systems into modular services, migrating infrastructure to cloud environments, implementing APIs for interoperability, and rebuilding mobile or frontend layers. In many cases, it also involves database migration and performance optimization.
However, modernization is rarely a full rewrite from scratch. In fact, very few organizations undertake such an approach since it is both costly and risky. Rather, organizations follow incremental approaches that help keep business logic intact while replacing faulty components.
In 2026, modernization is largely motivated by the need for AI readiness. Many legacy systems cannot be integrated with modern AI technologies because of their rigidity, limited APIs, and obsolete data models.
As a result, companies are prioritizing modernization not only for maintenance but to enforce AI-driven processes, automation, and analytics.
For readers exploring legacy application modernization services, understanding this distinction is essential before selecting vendors or evaluating approaches.
Why Consider Legacy System Modernization in 2026
There are many industry forces that make modernization unavoidable rather than optional.
AI Readiness Gap
As we mentioned earlier, modern AI systems require structured data access, APIs, and cloud-compatible infrastructure. Legacy architectures fail to provide all of that, making integration difficult or, more often, impossible to fulfill.
Organizations neglecting modernized systems and delaying modernization risk being unable to adopt AI tools at scale and falling behind their competitors.
Maintenance Cost Blowup
Industry surveys regularly reveal that between 60% and 80% of an organization’s IT budget is spent on legacy system maintenance. This means that there is no place left for innovations and new product development, turning IT departments into maintenance units rather than growth enablers.
Talent Shortage
Technologies like COBOL, old Java frameworks, and first-generation .NET frameworks are growing increasingly difficult to maintain as the pool of seasoned engineers retires. Newer talent for the same is scarce, which results in cost escalation and risk exposure.
Mobile Ecosystem Pressure
Over the past couple of years, mobile technologies have undergone significant changes, prompting companies to implement full mobile re-engineering projects.
Xamarin, for instance, has reached its end of life, Apache Cordova is seeing reduced ecosystem support, and old versions of Flutter or React Native are no longer compliant with new app store guidelines.
Security and Compliance Mandates
Regulations such as GDPR, DORA, and HIPAA require auditability, logging, and traceable data flows. Legacy systems often lack these controls, exposing organizations to compliance risks and safety vulnerabilities.
The Role of AI in Software Modernization in 2026
Artificial intelligence is changing not only software development but the way how legacy software is modernized. AI helps automate repetitive tasks, analyze existing applications, and support better technical decisions.
One of the biggest advantages of AI-powered legacy modernization services is codebase analysis. AI can quickly scan thousands of lines of legacy code, identify dependencies between system components, and highlight outdated libraries or potential issues.
AI is also helping with code migration and refactoring. It can suggest ways to modernize code, assist with framework or language migrations, generate technical documentation, and identify potential compatibility problems. Engineers still review and validate these recommendations, but AI significantly reduces manual effort.
Another important use case is project planning. By analyzing the structure of a legacy system, AI helps teams determine which components should be modernized first and supports a phased migration strategy that minimizes business disruption.
All in all, as AI becomes more widely adopted, many companies are incorporating it into their delivery process. However, successful modernization still depends on experienced engineers who can evaluate AI-generated recommendations and ensure the modernized system meets business and technical requirements.
Top 10 Legacy Software Modernization Companies in 2026
Choosing the right legacy system modernization partner is about more than technical expertise. The best companies for legacy system modernization combine proven engineering capabilities with a structured approach that minimizes disruption and preserves business continuity.
1. SCAND
SCAND is a custom software development company with more than 25 years of overall experience and a team of over 250 engineers.
Over the course of its time on the market, the company has delivered 900+ projects for clients in Europe and North America, with a strong focus on enterprise-grade modernization practices of web, mobile, and backend systems.
SCAND specializes in full-stack legacy modernization services, including re-architecting monolithic applications, migrating legacy infrastructure to cloud-native environments, API enablement, and large-scale code refactoring.
A key differentiator is its mobile expertise, particularly in migrating outdated mobile apps built with Cordova, PhoneGap, Xamarin, and early React Native or Flutter versions into modern native architectures such as Kotlin and SwiftUI.
For businesses with outdated Objective-C or early Swift codebases, SCAND also works as a dedicated legacy iOS modernization development firm, rebuilding these applications into SwiftUI-based architectures that meet current App Store compliance requirements.
A defining aspect of SCAND’s approach is its use of AI agents to accelerate modernization projects. These tools help their teams with automated codebase analysis, dependency mapping, and migration planning, greatly reducing the time required for system assessment compared to traditional manual audits.
Being a low-risk application modernization service provider, SCAND is also known for its structured, phased delivery model. Instead of high-risk big-bang rewrites, projects are broken into incremental modernization stages, allowing systems to remain operational throughout transformation.
Additional capabilities include dedicated software re-engineering services, legacy database migration, and system decomposition for service-oriented architectures. You can see some SCAND’s legacy modernization case studies for examples of completed projects.
- Best for: Mid-size companies and enterprises looking for deep engineering expertise, technical debt elimination, mobile modernization capabilities, and a transparent phased approach.
2. IBM Consulting
IBM Consulting is one of the largest enterprise transformation providers in the world, with deep expertise in mainframe modernization and large-scale IT infrastructure programs.
The company has been actively integrating AI into its modernization processes through its enterprise AI platform, watsonx, which supports application analysis, code transformation, and automation of complex modernization tasks.
On top of that, IBM focuses on hybrid cloud migration, application refactoring, and large-scale enterprise transformation programs. Its strength lies in applying automation and AI-assisted tooling at enterprise scale, especially in highly regulated industries such as finance, healthcare, and government.
- Best for: Large enterprises modernizing complex mainframe environments with AI-enabled enterprise tooling.
3. Accenture
Accenture is a global leader in enterprise transformation and one of the most established providers of large-scale modernization initiatives.
The company incorporates AI and automation across its modernization lifecycle, particularly in code analysis, enterprise architecture optimization, and cloud migration orchestration. These capabilities are embedded into broader transformation programs delivered for Fortune 500 clients.
Accenture also specializes in end-to-end modernization, including cloud migration, application re-architecture, and enterprise system redesign. Its AI capabilities are typically applied at the orchestration and optimization layer rather than as standalone tooling.
- Best for: Large enterprises executing multi-year modernization programs with embedded AI-driven transformation layers.
4. Hexaware Technologies
Hexaware Technologies is a mid-to-large IT services provider with a strong positioning in AI-assisted modernization.
The company actively promotes AI-driven application analysis, automation of legacy code understanding, and modernization acceleration frameworks. These capabilities are applied across cloud migration and application transformation projects in industries such as banking, travel, and healthcare.
- Best for: Enterprises seeking AI-assisted modernization with adaptable delivery models.
5. Infosys
Infosys is a global IT services leader with strong capabilities in enterprise modernization and automation-led transformation.
The company uses proprietary AI and automation platforms to support application reengineering, system analysis, and cloud migration planning. These tools are especially relevant for large-scale distributed legacy environments in regulated industries.
Infosys focuses on structured modernization programs that include API integration, cloud services, and enterprise system transformation supported by automation frameworks.
- Best for: Large enterprises requiring governance-heavy modernization with AI-assisted automation tooling.
6. Cognizant
Cognizant is a global IT services provider with strong positioning in AI-enabled application modernization and enterprise transformation.
The company applies AI across legacy system discovery, code analysis, and modernization planning through its Neuro AI platform ecosystem. These capabilities are used to accelerate assessment phases and reduce complexity in large-scale modernization programs.
- Best for: Enterprises seeking AI-assisted modernization combined with global delivery scale.
7. Capgemini
Capgemini is a global consulting and engineering company with established AI-driven modernization frameworks.
Its modernization approach includes AI-assisted application portfolio analysis, system decomposition, and cloud migration planning. These tools help enterprises modernize complex legacy environments more efficiently and with better visibility.
- Best for: Large enterprises running structured AI-enabled transformation programs.
8. TCS (Tata Consultancy Services)
TCS is one of the largest global IT services firms with strong investment in AI-led modernization tools and automation platforms.
Its AI-driven frameworks are used for code modernization, system decomposition, and automated migration planning. TCS also integrates machine learning into enterprise architecture optimization and cloud transformation programs.
- Best for: Enterprises requiring highly structured, compliance-driven modernization with AI augmentation.
9. Wipro
Wipro is a global IT services company with strong positioning in AI-led engineering and automation-driven modernization.
Its AI capabilities are applied to legacy code analysis, system mapping, and modernization acceleration across cloud migration and application re-engineering projects.
- Best for: Organizations looking for cost-efficient AI-assisted modernization at scale.
10. HCLTech
HCLTech is a global technology services company with strong capabilities in AI-enabled application modernization and enterprise engineering.
The company integrates AI into legacy assessment, automation, and cloud transformation programs, particularly in complex enterprise environments such as banking, telecom, and manufacturing.
- Best for: Large enterprises modernizing complex distributed legacy systems with AI-assisted tooling.
| Company | AI Modernization Focus | Best For |
| SCAND | Code analysis, migration planning | Mid-size enterprises, phased modernization |
| IBM Consulting | watsonx-powered modernization | Mainframe and enterprise systems |
| Accenture | AI-driven transformation | Large enterprise programs |
| Hexaware | AI-assisted application modernization | Flexible enterprise modernization |
| Infosys | AI-enabled code analysis | Regulated enterprise environments |
| Cognizant | AI-powered legacy assessment | Enterprise modernization at scale |
| Capgemini | AI-assisted cloud modernization | Large transformation initiatives |
| TCS | AI-driven code modernization | Compliance-heavy enterprises |
| Wipro | AI-enabled application modernization | Cost-efficient enterprise modernization |
| HCLTech | AI-assisted legacy transformation | Complex distributed systems |
Legacy System Modernization Companies Comparison (2026)
How to Choose the Right Legacy Modernization Partner in 2026
Selecting from among the top IT service companies for legacy modernization requires evaluating more than technical capability. The risk profile of modernization projects is high, so the partner’s approach matters as much as their experience.
For many mid-size organizations, this also means looking beyond the largest global system integrators. Specialized engineering firms are considered among the best alternatives to global system integrators for application modernization, especially when a project doesn’t require a multi-year enterprise transformation program, they typically offer more direct technical engagement and lower overhead than large consulting organizations.
A main factor here is whether the vendor uses a phased approach rather than a big-bang rewrite. Incremental modernization reduces risk by providing working systems in stages, allowing organizations to validate progress step-by-step.
Technical depth in your specific stack is no less important. Many providers claim broad expertise, but modernization requires specialized experience. Without it, migration risks multiply.
AI adoption also becomes a practical differentiator. Modern vendors can use AI for code analysis, dependency mapping, and migration acceleration.
When evaluating top-rated legacy code modernization services, it is important to ask how AI initiatives are used in delivery, not just whether it is mentioned in marketing and promotion materials.
Don’t forget to check the mobile legacy expertise if it directly concerns your product. Organizations with Xamarin, Cordova, or early Flutter applications should verify that the vendor has successfully migrated similar systems before.
Finally, don’t overlook post-modernization support. Maintenance, documentation, and steady optimization guarantee that modernization produces long-term value rather than a one-time technical upgrade.
Legacy System Modernization Trends in 2026
One of the key trends in today’s landscape is the move toward gradual re-engineering.
Rather than carrying out one large-scale risky project to replace an existing system, more and more businesses implement application modernization gradually, module by module, thus reducing disruptions and mitigating risks during the process.
At the same time, cloud-native architecture remains the preferred target for modernization projects. However, the focus has shifted beyond simple lift-and-shift migrations. Instead, organizations are redesigning applications to fully use cloud-native development capabilities such as scalability, resilience, and operational efficiency.
Lastly, there is a growing trend toward security-based application modernization as well.
The implementation of regulations like GDPR, HIPAA, or DORA makes many companies unable to comply with them using the current systems and software. Therefore, modernization has become a necessity from both a business and a regulatory perspective.
Bottom Line
Choosing the right modernization partner depends on system complexity, risk tolerance, and long-term business goals. Large-scale enterprise programs often align with providers like IBM, Accenture, or Infosys due to their global delivery capabilities and mainframe expertise.
Mid-size organizations often benefit from more specialized engineering firms such as SCAND, Hexaware, or ScienceSoft, which offer more flexible, phased modernization approaches and deeper technical engagement.
For teams evaluating their options, the best starting point is a structured assessment phase that clarifies scope, risk, and cost before committing to a full transformation program.
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