Showing 224 results
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FEATUREDViewpoint
Generative AI in Action: Transforming Security Operations Centers (SOCs) for Modern Cyber Defense
June 27, 2025Gen AI is transforming how SOCs detect, respond to, and manage cyber threats. It enables automating repetitive tasks such as log analysis, alert triage, and incident investigation – freeing analysts to focus on strategic threat hunting and decision-making. Integrated effectively, gen AI enhances operational efficiency, reduces mean time to respond, and supports real-time risk profiling. This Viewpoint explores how gen AI fits across SOC architecture layers – from data collection and processing to analytics and incident response. It highlights real-world use cases, including AI-generated threat summaries, vulnerability detection through SAST/SCA automation, and intelligent response orchestration. Gen AI is also essential in workforce development, helping junior analysts upskill through guided workflows and natural language-based interfaces. While the benefits are compelling, organizations must navigate risks such as rising implementation costs, expanded attack surfaces, governance complexities, and the potential erosion of analyst skill development. Planning, budgeting, and responsibly integrating gen AI are key to realizing its full value. A structured SMART-G framework defined in this Viewpoint can guide enterprises through strategic alignment, infrastructure readiness, model optimization, workforce training, and governance. The result is a future-ready SOC – resilient, scalable, and built for a rapidly evolving threat landscape. -
FEATUREDViewpoint
Systems of Execution (SoE) in Cloud and Infrastructure: Self-optimizing Cloud Operations
June 17, 2025Enterprises have made cloud the operating backbone for AI, platform modernization, and continuous delivery, but governance practices remain reactive. Fragmented ownership, inconsistent tagging, and siloed tooling force finance and engineering teams to chase overspend long after budgets are breached, with 63% of organizations citing staying within forecasted cloud budgets as their top challenge. Systems of Execution (SoE) close this gap by fusing FinOps transparency with AIOps automation in an autonomous control plane. SoE continuously ingest cost, usage, and performance telemetry, apply AI decision logic, and enforce policy-aligned actions, such as resizing or pausing workloads, without human latency. By adopting SoE, organizations can transform cloud from a cost center into a self-optimizing performance engine that enforces budgets in real time, reduces variance, boosts resilience, and accelerates innovation cycles. The report charts a three-phase journey from reactive visibility to fully autonomous operations, detailing the data architecture, policy automation, AI decisioning, and governance pillars required at each step. It benchmarks ecosystem readiness, highlights emerging provider capabilities, and distils imperatives for enterprises, hyperscalers, and service partners, which include treating execution as a differentiator, embedding financial guardrails at run time, and redesigning services around continuous orchestration. Scope This report analyzes the cloud-governance gap, presents an SoE-led framework for autonomous financial and operational control, details a phased implementation roadmap, and offers guidance on selecting technology and service partners to enable self-optimizing cloud operations at scale. Contents All industries and geographies -
Thematic Report
Transforming Enterprise Print
June 12, 2025In an era of digital transformation and hybrid work, enterprise print environments remain fragmented, inefficient, and vulnerable. This Viewpoint presents a strategic roadmap to transform these outdated systems by adopting a Vendor-agnostic Print Platform (VAPP) – a unified, data-driven framework that integrates OEMs, MSPs, cloud management, and analytics to deliver seamless, scalable, and secure print operations. Enterprises and print service providers alike can leverage this report to transition from print as an operational cost center to a strategic differentiator delivering measurable business value. Scope All industries and geographies. Contents In this report, we examine: The current challenges in enterprise print – fragmentation, high costs, poor user experiences, and sustainability issues The VAPP framework, which redefines enterprise print by orchestrating the producer-consumer ecosystem with transparency, collaboration, and intelligence Strategic value drivers such as cost optimization, security assurance, sustainability, and employee-centric design Implementation enablers and best practices to ensure agile transformation, including strong governance, real-time analytics, and modular platform design -
June 09, 2025As 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
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State of the Market
Cybersecurity Services State of the Market 2025
May 30, 2025The cybersecurity services market is rapidly evolving as enterprises grapple with an expanding digital threat landscape intensified by AI transformation. With increasing deployment of generative and agentic AI systems, security challenges are no longer limited to infrastructure – they now include data provenance, hallucinations, model manipulation, and autonomous decision-making governance. The global market size is estimated at US$94-97 billion in 2024, with expected double-digit growth led by increased demand for secure AI infrastructure, real-time threat intelligence, and zero-trust execution models. North America and Europe are leading adoption due to regulatory mandates such as DORA and NIS2, while industries such as BFSI, healthcare, and manufacturing are investing in segment-specific cybersecurity solutions. This report explores cybersecurity adoption patterns across industries, the strategic shift toward outcome-based service models, and the key role of secure-by-design principles in AI-enabled enterprises. It also introduces a risk mapping framework for AI transformation, highlighting the multilayered complexities of securing application, infrastructure, and model layers in generative and agentic AI systems. The report equips cybersecurity leaders with a structured playbook for secure AI adoption, spanning the stages of prioritization, preparation, engineering, deployment, orchestration, control, and tracking – enabling a secure, resilient, and scalable cybersecurity posture. Scope All industries and geographies Services: cybersecurity services, including secure AI transformation Methodology: based on Everest Group’s annual RFIs, buyer interviews, provider briefings, and trends analysis Contents In this report, we examine: The trends, demand drivers, and key enterprise concerns in the global cybersecurity services market Cybersecurity adoption patterns across industries and geographies The evolution of cybersecurity strategies to address AI-induced risks An enterprise playbook for secure AI transformation The market outlook and strategic imperatives for 2025 and beyond -
May 23, 2025Despite the global economic downturn, enterprises continue to embrace AI, with generative AI demonstrating strong workplace transformation potential. Segments such as service desks and unified communication and collaboration have significantly advanced, leading to enterprises achieving notable IT and business benefits through its adoption. This report examines generative AI adoption’s current landscape across various workplace segments, its impact on both enterprise needs and employee challenges, and the anticipated transformations within these areas. We further address pilot fatigue associated with generative AI implementation and outline key success factors for effective deployment. In conclusion, we emphasize workplace leadership’s key role in this transformation, offering insights on how leaders can actively engage in decision-making and advocate the cause of employee experience with respect to generative AI initiatives to optimize its advantages within the workplace. Scope Industry: All industries and geographies Contents In this report, In this report, we explore: Generative AI adoption’s current level and its future transformation Key enterprise considerations Key success factors for generative AI adoption Key considerations for workplace leadership in the future
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May 05, 2025Enterprise 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
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March 21, 2025AI’s impact on physical product engineering has been transformative, driving an evolution from traditionally manual processes to AI-driven automated workflows. Enterprises are adopting AI across the product life cycle to realize productivity gains, reduce overheads, and accelerate time to market. Additionally, AI is helping enhance physical products’ functionalities through features such as voice recognition, predictive analytics, and personalized user experiences. Physical AI is emerging as a new interest area where physical products are getting closer to autonomously perceiving, understanding, and dynamically interacting with the world. With that, technology giants such as Meta and Amazon are foraying into robotics and autonomous systems. Furthermore, fostering expertise across areas such as AI hardware, edge computing, sensor technologies, and advanced simulation platforms is becoming essential across the wider set of industries. In this Viewpoint, we explore strategic imperatives such as infrastructure investments, talent upskilling, and ecosystem partnerships that enterprises should adopt to thrive in such an environment. Finally, it explores providers' roles in enabling enterprises to seamlessly adopt AI as a core competency and realize substantial benefits in the current environment. Scope All industries and geographies Contents In this report, we examine: AI’s impact on the physical product engineering value chain AI-driven enhancement of product capabilities Physical AI’s evolution to autonomously create products Engineering service providers’ role to support enterprises in this evolution
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March 19, 2025Watch Everest Group experts Yugal Joshi, Partner, Alisha Mittal, Vice President, Mukesh Ranjan, Vice President, and Akshat Vaid, Partner, for an exciting webinar that will redefine how you view the future of the engineering and IT technology space. Get ready for a deep dive into the transformative trends due to shape engineering and IT services in 2025. From the unstoppable rise of AI to breakthrough innovations on the horizon, our panel will deliver powerful insights into what’s next for the industry and how you can take advantage of this pivotal moment. Expect engaging discussions, bold predictions, and data-driven insights designed to empower enterprises and service providers to navigate this key era. This is your chance to learn how to leverage technology trends, outpace the competition, and thrive in a rapidly evolving landscape. Don’t miss this high-impact session—your roadmap to 2025 starts here. What questions did the webinar answer? As a services provider, which areas should you invest in during 2025 for strategic growth? As an enterprise, what should you look for in outsourcing partners in 2025?
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State of the Market
Identity and Access Management (IAM) Services State of the Market 2025 – Exploring the Evolution of Converged IAM
March 07, 2025This comprehensive report examines the state of the Identity and Access Management (IAM) services market as it evolves toward converged solutions that integrate identity governance and administration and privileged IAM. It discusses how unified platforms designed to simplify identity management, reduce operational risks, and improve compliance across on-premises, cloud, and hybrid environments are replacing fragmented legacy systems. By drawing on robust research scope and real-world market touchpoints, the report analyzes current trends and future growth prospects in detail. The report further delves into key market dynamics and challenges – including rising cyber threats, digital infrastructures’ increasing complexity, and the need for continuous oversight – that are driving integrated IAM framework adoption. It also highlights strategic recommendations and frameworks, such as the 5A model, that can help enterprises assess, architect, activate, augment, and advance their converged IAM journey. This detailed exploration makes the report an essential resource for CIOs, security leaders, and IT strategists aiming to future-proof their organizations’ IAM practices. Scope All industries and geographies Contents In this report, we examine Digital identity challenges Converged IAM’s evolution Global market insights The 5A framework Membership(s) Cybersecurity Sourcing and Vendor Management