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  • NEW
    Provider Compendium

    July 15, 2025
    Custom Application Development (CAD) continues to be a strategic priority for enterprises seeking digital agility, scalability, and competitive differentiation. Despite challenges such as geopolitical instability, economic uncertainty, and talent shortages, demand for customized solutions remains strong. Enterprises are embracing platform-centric approaches, modern development methodologies, and AI-augmented tools to streamline delivery and meet evolving user expectations. In this context, providers are not only expected to deliver engineering talent but also act as transformation partners with deep domain expertise and a focus on business outcomes. This report profiles 31 leading CAD providers and assesses how they are helping enterprises navigate today’s complex IT and business environment. Each provider profile includes details on service focus, proprietary solutions, recent investments, and case studies. The analysis also highlights how providers are differentiating through low-code platforms, CI/CD tools, and AI-powered development assistants. This compendium supports decision-makers in identifying partners that align with their digital and operational priorities.
  • Viewpoint

    June 30, 2025
    Enterprises are shifting from traditional project-based models to product-aligned operating models that enable speed, agility, and better alignment with customer value. This shift demands more than structural adjustments; it requires a fundamental redesign of how organizations operate across teams, processes, talent, and technology. This Everest Group Viewpoint introduces the Reinvent, Redefine, Reshape, and Reimagine 4R framework to guide enterprise-wide transformation: Reinvent organizational design to enable cross-functional, outcome-driven teams Redefine processes for iterative, value-centric delivery Reshape talent through competency-based, product-oriented roles Reimagine technology as a scalable, modular platform that powers rapid innovation This report outlines how organizations can dismantle silos, streamline governance, and empower teams with the autonomy and tools needed to deliver sustained business impact. It addresses common roadblocks, such as legacy systems, fragmented accountability, and skill mismatches, while offering ways to achieve measurable improvements in time-to-market, operational efficiency, and stakeholder satisfaction. The report is a pragmatic guide for business and technology leaders seeking to modernize operating models and build resilient, product-driven enterprises.
  • FEATURED
    Innovation Watch

    June 12, 2025
    Generative AI is fundamentally shifting how software is developed and maintained. What began as discrete copilots for code suggestions has evolved into a more mature and integrated layer of AI-powered software engineering. Generative AI is now embedded across the entire development value chain – from requirement gathering and prototyping to code generation, testing, documentation, and deployment – reshaping development workflows and enabling asynchronous, agent-assisted collaboration. As enterprises move from experimentation to execution, generative AI solutions are expanding from point tools to full-stack development platforms, offering intelligent support for decision-making, team collaboration, and engineering governance. Increased investments in contextual intelligence, orchestration, explainability, and secure AI integration are driving this shift. In this report, Everest Group assesses 21 leading generative AI solution providers across four segments: Luminaries, Fast Followers, Influencers, and Seekers, based on their market performance and ecosystem positioning. The report provides insights into how these providers are enabling practical value, improving software delivery speed, and redefining developer experiences in the age of generative AI. Scope Geography: global Industries: all industries adopting software development practices Focus: generative AI solutions in software development, covering providers of copilots, intelligent agents, development platforms, and contextual coding tools Contents In this report, we: Position 21 technology providers offering gen AI products for software development on Everest Group’s Innovation Watch Assessment framework Assess the providers’ gen AI capabilities for software development Examine key business challenges and gen AI’s role in overcoming them
  • Viewpoint

    June 09, 2025
    As enterprises strive for greater adaptability, autonomous execution, and continuous optimization, they are reimagining application development. Traditional approaches – focused on static requirements, linear workflows, and manual oversight – can no longer keep pace with real-time business demands. Development teams must now build systems that not only deliver features but also respond intelligently to change, act independently, and learn from every outcome. Systems of Execution (SoE) offer a new blueprint for application design – one that integrates AI, automation, event-driven architecture, and adaptive workflows to create intelligent, self-optimizing applications. By enabling real-time sensing, autonomous decision-making, and dynamic orchestration, SoE-ready applications fundamentally redefine enterprise responsiveness and resilience. This Viewpoint examines application development’s evolution in the context of SoE. It explores the architectural principles behind SoE-ready systems, the foundational investments enterprises must make, and real-world case studies demonstrating how leading organizations are unlocking value through agentic, context-aware applications. Scope Industry: agnostic Geography: global Contents In this viewpoint, we examine: SoE-ready application development The required technology investments A pragmatic roadmap for enterprise leaders to execute an SoE strategy How SoE enable future-proof, resilient, and intelligent enterprises
  • PEAK Matrix®

    June 09, 2025
    As enterprises navigate application modernization to drive agility, resilience, and business alignment, they face a key hurdle: a scarcity of talent with niche skills. Capabilities in areas such as cloud-native development, low-code platforms, microservices, DevOps, and legacy application modernization are high in demand but short in supply. Rising attrition, wage inflation, and the rapid obsolescence of technical skills further intensify this talent gap, creating significant execution risks for large-scale transformation programs. In response, organizations are increasingly seeking IT providers with mature and forward-looking talent development strategies tailored to application services’ evolving needs. Providers are making proactive investments to build future-ready talent pipelines by combining traditional learning approaches, digital platforms, and hands-on training. In line with future-of-work principles, many are embedding AI readiness into their workforce strategies, ensuring teams are equipped to work alongside intelligent tools and automation. At the same time, they are focusing on integrating Gen Z talent by reshaping workplace culture, communication, and learning experiences to align with their digital-native expectations. To sustain long-term capability, providers are also enhancing employee engagement and retention through personalized career paths, continuous learning opportunities, and inclusive, purpose-driven work environments. In this report, we assess 29 IT service providers featured on the Talent Readiness for Next-generation Application Services PEAK Matrix®. The research will help buyers select the right-fit application service provider for their needs, while application service providers will be able to benchmark themselves against each other. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2025, interactions with leading application service providers, client reference checks, and an ongoing analysis of the application services market Contents In this report, we evaluate: 29 application service providers featured on Everest Group’s Talent Readiness for Next-generation Application Services PEAK Matrix® The characteristics of Leaders, Major Contenders, and Aspirants from a talent readiness perspective Providers’ key strengths and limitations
  • Tech Launch Perspective

    June 04, 2025
    At Google Cloud Next 2025, Google unveiled a reimagined application development experience centered around AI assistance, visual design, and unified lifecycle management. The announcements reflect a strategic shift toward abstracting infrastructure complexities and enabling developers to operate at the application level – a move that aligns with enterprise priorities around speed, maintainability, and developer productivity. Key launches included the Application Design Center (a visual canvas for application infrastructure design), Cloud Hub (a centralized control plane for application operations), and expanded integration of Gemini Code Assist and Gemini Cloud Assist across development and management workflows. Google also introduced updates to Firebase Studio, providing an agentic environment to prototype and test mobile apps, and announced enhancements to Kubernetes Engine and FinOps tooling to support performance and cost optimization. In this report, we analyze Google’s 2025 announcements in the context of prevailing enterprise application development priorities, including AI augmentation, platform cohesion, cost controls, and integration flexibility. We evaluate Google’s strengths in technical innovation and end-to-end AI integration, while also addressing ongoing challenges around ecosystem maturity, enterprise mindshare, and platform extensibility. Scope All industries and geographies This assessment is based on Everest Group’s review of announcements made at Google Cloud Next 2025 Contents In this report, we: The key themes influencing enterprise demand for next-generation application development Google’s positioning and product strategy The announcements from Google Cloud Next 2025 Strengths, differentiators, and potential enterprise friction points
  • Viewpoint

    May 21, 2025
    Enterprises have long recognized application modernization as essential to achieving agility, resilience, and innovation. Yet despite significant investments in cloud, DevOps, and containerization, outdated execution models, siloed governance, and manual processes derail modernization efforts, failing to keep pace with dynamic business needs. Traditional modernization approaches treat transformation as a one-time initiative, rather than a continuous capability, resulting in costly delays, limited scalability, and persistent technical debt. The report introduces Systems of Execution (SoE) as a transformative paradigm to application modernization, embedding perception, reasoning, execution, and learning into a self-optimizing, autonomous modernization execution mechanism. SoE-enabled modernization facilitates real-time decision-making and execution through intelligent agents powered by telemetry, AI, and policy-as-code. By shifting from static modernization programs to intelligent systems of execution, enterprises can reduce risk, accelerate outcomes, and continuously align IT with evolving business priorities. This Viewpoint provides a detailed roadmap to implement SoE-enabled modernization for enterprises, covering foundational system architecture, phased adoption strategy, and real-world examples from early enterprise adopters. It also outlines key strategic imperatives for both enterprises and providers and serves as a strategic guide to operationalizing SoE-enabled modernization at scale to close the long-standing execution gap prevalent in current application modernization strategies. Scope All industries and geographies Contents In this report, we examine The execution gap in traditional modernization approaches SoE’s role in transforming application modernization execution A phased implementation roadmap for enterprises adopting SoE-enabled modernization The core components of an SoE-enabled modernization architecture Real-world examples of agentic adoption Strategic imperatives for enterprises and providers
  • Viewpoint

    May 05, 2025
    Enterprise IT environments are becoming increasingly complex. Traditional IT operations (ITOps) models, which rely on manual processes and reactive workflows, are ineffective in addressing today’s operational demands. Systems of Execution (SoEs), powered by agentic AI, introduce a new operational paradigm rooted in autonomy and context-aware decision-making. These systems enable a shift from fragmented, ticket-based models to intelligent, self-healing ecosystems that enhance efficiency, reduce downtime, and scale operational resilience. In this report, we examine how SoEs are reshaping ITOps by embedding AI agents into service management workflows, highlighting the resulting operational and financial benefits. It focuses on how SoEs reduce technology run costs, enhance responsiveness, and drive continuous optimization. The report also outlines high-impact use cases, phased adoption roadmaps, strategic imperatives for enterprises and providers, and key pitfalls to avoid during SoEs’ adoption. Scope All industries and geographies Contents In this report, we examine: SoEs enabling ITOps workflows High-impact ITOps use cases Benefits of leveraging SoEs in ITOps Strategic imperatives for enterprises and providers Common pitfalls to avoid during SoEs’ adoption

  • April 09, 2025
    In today’s dynamic talent market, organizations must actively monitor key roles and skills, both in-demand and emerging, to enable strategic workforce planning. Higher demand may indicate more significant competition for talent or a higher risk of attrition, making it vital to analyze talent demand trends to anticipate external competition and identify leading industries for talent acquisition. Everest Group’s half-yearly report offers insights into monthly IT services talent demand trends across India, highlighting top industries, roles, and skills based on H2 2024 demand. Leveraging data from our Talent Genius™ tool, this report comprehensively analyzes the current talent market, empowering organizations to stay competitive, plan for future workforce needs, and make informed talent acquisition decisions. Scope Industry: IT services Geography: India Contents In this report, we analyze talent demand trends in India's IT services sector on a national scale. Additionally, we provide detailed profiles of 15 major Tier-1 and Tier-2 cities, offering insights into talent demand trends, top industries, key roles, and essential skills in each location.
  • Tech Launch Perspective

    April 02, 2025
    In 2024, Amazon made its AI assistant, Amazon Q, generally available to all businesses using Amazon Web Services (AWS). This launch followed a series of major product announcements, including updates to Amazon Q Developer at AWS re:Invent 2024. These advances strengthen AWS’s position in the AI code assistant space and are poised to significantly reshape how companies build and manage applications. This report examines the core features, strengths, and limitations of Amazon Q for enterprise AWS users. We assess how effectively the assistant aligns with enterprise development goals and operational needs, highlighting standout capabilities and opportunities for improvement. Our analysis offers insights into Amazon Q’s potential to shape the future of AI-powered development tools and drive the next wave of modern application development. Scope All industries and geographies The report is based on our assessment of the information that AWS released about Amazon Q Developer Contents In this report, we: Outline key objectives and requirements for enterprises developing modern applications Examine the themes that drive and limit demand in the market Detail Amazon Q Developer’s current positioning and its product offerings for modern application development Analyze Amazon Q’s strengths and areas for improvement