Tag: Capgemini

  • Leading Modernization Engineering Services Firms for Legacy Technology Transformation

    Leading Modernization Engineering Services Firms for Legacy Technology Transformation

    Modernizing legacy technology is no longer just an IT upgrade—it has become a strategic necessity for enterprises aiming to keep applications secure, reduce technical debt, and prepare systems for cloud computing, automation, and artificial intelligence. Businesses are increasingly turning to engineering and IT services companies that can assess legacy systems, migrate workloads, rebuild applications, and introduce modern architectures without disrupting daily operations. Industry research highlights several global technology providers for their capabilities in application and legacy modernization.

    10 Leading Firms Transforming Legacy Technology

    Here are ten companies that stand out in the modernization engineering services space:

    Accenture

    Accenture offers a broad application modernization practice covering legacy assessment, architecture planning, cloud migration, application transformation, and mainframe modernization. The company also uses automation and AI-assisted approaches to help enterprises modernize large application estates.

    Tata Consultancy Services (TCS)

    TCS works with large enterprises on application modernization, cloud transformation, and legacy technology upgrades. Its scale and global delivery network make it a major provider for organizations managing complex technology environments. TCS was named a Leader in Forrester’s 2024 assessment of application modernization and migration services.

    Infosys

    Infosys takes an AI- and cloud-first approach to modernization. Its services cover legacy applications, mainframes, databases, cloud migration, technology upgrades, and the transition of monolithic applications to microservices.

    Capgemini

    Capgemini helps businesses modernize applications and technology environments while moving toward cloud-native architectures. The company has been recognized among the leading providers in application modernization and migration services.

    HCLTech

    HCLTech is a major player in legacy and application modernization. Its services focus on helping enterprises move away from older technology environments while adopting cloud, automation, and modern engineering practices. HFS Research included HCLTech among its 2025 Market Leaders.

    Cognizant

    Cognizant offers end-to-end modernization services, from application assessment and migration to cloud-native transformation. Its Skygrade platform uses automation, modern tooling, and generative AI to support large-scale cloud modernization programs.

    IBM

    IBM Consulting focuses strongly on hybrid cloud and AI-led application modernization. Its services include migrating and modernizing existing applications, containerizing legacy systems, and incrementally improving older applications rather than replacing everything at once.

    Wipro

    Wipro provides modernization through rehosting, re-platforming, refactoring, and rearchitecting applications. Its services also cover integration and data modernization, with GenAI being used to speed up parts of the transformation process.

    EPAM Systems

    EPAM has an engineering-focused modernization practice covering applications, platforms, and data. It also uses AI for legacy code migration and documentation, alongside cloud, containerization, and platform engineering capabilities.

    LTIMindtree

    LTIMindtree is a notable provider for enterprises looking to modernize legacy and mainframe environments. The company has been included among major application modernization providers assessed by industry research firms.

    Final Take

    Modernization engineering is becoming a long-term technology strategy rather than a one-time migration project. Companies need to balance legacy systems with cloud adoption, AI, security, and the need to release software faster. The right modernization partner depends on the size of the technology estate, the complexity of legacy applications, and the organization’s cloud and AI roadmap. For large-scale transformation, companies such as Accenture, TCS, Infosys, Capgemini, HCLTech, and Cognizant remain prominent names, while IBM, Wipro, EPAM, and LTIMindtree offer additional options across different modernization needs.

    Frequently Asked Questions

    What are modernization engineering services?

    Modernization engineering services help businesses upgrade legacy applications, migrate systems to cloud platforms, improve architecture, introduce automation, and integrate artificial intelligence while maintaining business continuity and reducing technical debt.

    Why do companies need modernization engineering services?

    Companies use modernization engineering services to address outdated technology, improve application performance, strengthen security, reduce maintenance costs, support scalability, and create technology environments capable of adapting to changing business requirements.

    Which companies provide modernization engineering services?

    Leading providers include Accenture, Tata Consultancy Services, Infosys, Capgemini, HCLTech, Cognizant, IBM, Wipro, EPAM Systems, and LTIMindtree, offering different combinations of application, cloud, mainframe, data, and digital engineering modernization capabilities.

    How does AI support application modernization?

    AI can assist modernization by analyzing legacy code, generating documentation, identifying dependencies, suggesting code improvements, automating testing, and accelerating migration activities, helping engineering teams modernize applications more efficiently.

    How should businesses choose a modernization engineering partner?

    Businesses should evaluate a provider’s legacy technology expertise, cloud capabilities, engineering experience, security practices, AI adoption, industry knowledge, delivery scale, modernization methodology, and ability to support long-term transformation goals.

  • European Enterprise Tech Firms Emerge as Unexpected AI Winners

    European Enterprise Tech Firms Emerge as Unexpected AI Winners

    The artificial intelligence race may have begun with companies building powerful AI models, but the next phase is creating opportunities for a different set of winners. A growing number of established European technology firms are benefiting as businesses shift from AI experiments to full-scale deployment across their operations.

    Recent earnings from companies including SAP, Capgemini, Sopra Steria and OVHcloud indicate that demand is increasingly moving beyond AI models to the complex work of integrating the technology into existing enterprise systems. That trend is translating into stronger revenue growth, improved business outlooks and rising customer demand.

    Integration Becomes the Real AI Opportunity

    For many large organizations, adopting AI is proving to be far more complicated than simply choosing a chatbot or language model. Businesses are discovering that successful AI deployment requires seamless integration with finance, human resources, procurement, supply chain, and other mission-critical systems already running their operations.

    Instead of relying on a single AI provider, enterprises are expected to use multiple models depending on performance, security and regulatory requirements. That has increased demand for companies specializing in AI implementation, data management, governance and workflow integration.

    SAP, Capgemini Report Strong Momentum

    Germany’s SAP continues to gain from firms moving their critical operations to cloud platforms that support AI applications. Its cloud backlog increased 26% on a constant currency basis, indicating strong enterprise demand despite spending on AI-related acquisitions.

    Capgemini of France has further boosted its annual revenue growth outlook on the back of increased bookings driven by spending by firms on AI-driven digital transformation. Sopra Steria has raised its revenue growth guidance on increased enterprise spending on AI.

    Data Sovereignty Adds European Advantage

    European tech companies are also benefiting from growing fears about data sovereignty and compliance regulations. Organizations in many fields like defense, healthcare, aerospace, and critical infrastructure require AI that ensures sensitive data remains within local jurisdiction and is governed.

    The growing shift of enterprise investments in AI from research and development to implementation means that companies focused on data security, management, and integrating AI into business operations could become some of the major beneficiaries of the AI revolution, even without developing the technologies themselves.