Give Feedback
Showing 1,511 results
  • NEW
    Viewpoint

    July 17, 2025
    This report explores the seismic shift unfolding in the consulting landscape as generative AI advances from experimental novelty to core service enabler. In the face of rising client expectations for faster insights, hyper-personalized recommendations, and outcome-based pricing, traditional time-and-materials models are giving way to AI-driven asset-based delivery. By surveying the state of large language models, agent architectures, and emerging multi-agent orchestration platforms, the report highlights why consulting firms must move quickly to integrate generative AI into both client-facing solutions and internal workflows. Drawing on analyses of leading providers’ strategies – from Bain’s OpenAI partnership and PwC’s enterprise-grade deployments to Accenture’s multi-billion-dollar AI investments – the report offers a clear, two-tiered roadmap. First, act now use cases to deliver immediate value through automated data cleansing, AI-powered reporting bots, and scenario-generation tools. Second, invest and experiment initiatives to prepare firms for next-generation capabilities such as autonomous advisory assistants and end-to-end AI platforms. Together, these recommendations equip consultants to unlock measurable productivity gains, reduce cost overruns, and identify new revenue streams. Whether you lead a strategic practice, oversee technology implementation, or direct data advisory teams, this report provides actionable frameworks to prioritize AI investments, redesign talent mixes, and evolve operating models. Readers will gain practical guidance on governance and risk/change management to ensure that AI deployments not only accelerate delivery but also uphold quality, compliance, and ethical standards.
  • NEW
    Webinar

    July 16, 2025
    Agentic AI is fast becoming the most talked-about breakthrough in enterprise technology, promising transformative outcomes across cost, efficiency, and revenue generation. Yet as organizations explore its potential, they also face rising uncertainty around trust, data governance, ROI, and a rapidly evolving vendor ecosystem. Watch Everest Group experts Chirajeet Sengupta and Anil Vijayan as they unpack the current state of agentic AI adoption, the pressing considerations for enterprises, and what the road ahead may look like. This session offered insights into where agentic AI is delivering value, how leaders are managing key risks, and what changes we can expect in the next 2–5 years. Whether you’re an enterprise executive or a technology provider, this is your chance to separate signal from noise and understand the trajectory of this powerful innovation.
  • NEW
    Thematic Report

    July 15, 2025
    Europe’s digital and regulatory environment is reshaping how cloud services are consumed and governed. With growing geopolitical tensions, increasing data protection mandates, and rising concerns around foreign surveillance laws, the sovereign cloud has become central to enterprise and public sector digital strategies. This report examines the sovereign cloud market in Europe through strategic, regulatory, and operational lenses. It outlines the drivers pushing sovereignty from compliance to a digital architecture priority, including the importance of AI and data security, jurisdictional clarity, and operational autonomy. The report introduces a detailed sovereignty framework across data, operational, and technical dimensions and evaluates three dominant delivery models: hyperscaler-led, datacenter-led, and national sovereign platforms. It highlights enterprise experience gaps, outlines enterprise-grade sovereignty, and shares implications for enterprises, service providers, and technology providers shaping Europe’s digital sovereignty future.
  • NEW
    Viewpoint

    July 15, 2025
    AI is moving from isolated pilots to enterprise-wide initiatives, but infrastructure strategies often lag. Many organizations face compute constraints, fragmented tooling, and unclear deployment or sourcing approaches. As AI workloads grow in scale and complexity, the need for purpose-built, scalable infrastructure aligned with business goals becomes essential. This report introduces AIMPACT, Everest Group’s framework for structured AI infrastructure planning. It offers a clear lens on how enterprises can profile AI workloads, assess readiness, and make informed decisions on deployment models, sourcing strategies, and stack design. The report also explores the broader shifts influencing how infrastructure is designed, operationalized, and governed in an AI-first world. This report provides a practical roadmap to move from fragmented pilots to scalable execution. CIOs, infrastructure leaders, AI teams, and service partners can use this report to bring structure to decision-making, align technology investments with business goals, and build infrastructure strategies that are grounded, adaptive, and future-ready.
  • NEW
    Thematic Report

    July 14, 2025
    Agentic AI is an evolved form of artificial intelligence that enables autonomous agents to set goals, make decisions, and take adaptive actions independently. These agents can decompose complex workflows into manageable subtasks, align their actions with defined objectives, and execute processes with minimal human oversight. By combining real-time reasoning, contextual memory, and the ability to interact with diverse enterprise systems, agentic AI allows for truly end-to-end, goal-driven automation. This new paradigm surpasses the capabilities of traditional intelligent automation and generative AI by enabling autonomous, context-aware systems that have the potential to make processes more time-efficient and less dependent on humans. As a result, agentic AI is rapidly gaining traction across industries and business functions. In this report, we examine the global agentic AI market, including the evolution of agentic automation, market characteristics, and the adoption landscape segmented by geography, industry, buyer size, and business process. We evaluate key solution characteristics such as training and support, partner ecosystems, deployment models, and commercial models. Additionally, we analyze the competitive landscape along with exploring emerging technology trends shaping the agentic ecosystem, such as large action models, model context protocol, agent-to-agent communication, and neuro-symbolic programming.
  • FEATURED
    Provider Compendium

    July 10, 2025
    In 2024, organizations faced a volatile talent landscape due to rapid skill disruptions, shifting workforce dynamics, and growing pressure to adopt a skills-first approach. In response, several enterprises have turned to skills intelligence platforms to design more agile and data-driven talent strategies. Despite ongoing budget pressures and evolving HR technology priorities, platform providers continued to drive innovation at pace. They significantly enhanced AI-powered skill inference engines, strengthened ecosystem-wide integrations, and expanded consulting-led services to support enterprise-wide transformation. These advances have further positioned skills intelligence platforms as strategic partners, enabling workforce adaptability and long-term talent resilience. This report offers comprehensive, fact-based profiles of 21 skills intelligence platform providers. Each profile includes a company and product overview, product enhancements, recent deals and announcements, key clients and partners, and market adoption and client portfolio mix. It analyzes each platform’s capabilities across key dimensions, including skills ontology, talent acquisition, talent management, additional functionalities, and underlying technology, to assess the level of support provided. The report helps buyers objectively evaluate provider capabilities and guide providers in benchmarking themselves against competitors, showing their differentiators in a growing and competitive landscape.
  • PEAK Matrix®

    July 10, 2025
    The US industrial staffing and strategic solutions market slowed down in 2024 due to persistent economic headwinds, including inventory destocking, elevated interest rates, and a cooling manufacturing PMI. Recent labor regulation changes have added operational complexities for providers managing shift-based workforces. Although market demand remained below pre-2022 levels, the pace of decline moderated compared to 2023, indicating early signs of stabilization. Labor shortages, especially in skilled trades, continued to pose fulfillment challenges. However, resilient sectors such as aerospace and defense, semiconductors, infrastructure, logistics, and food processing sustained hiring needs. High-performing providers prioritized these segments while investing in digital staffing platforms, upskilling and safety programs, and outcome-based delivery models such as onsite and cost-per-unit solutions. This report explores the industrial contingent staffing provider landscape in the US and its market impact in 2024. It provides the market’s overview and analyzes how different industrial contingent talent and strategic solutions providers differentiate based on the Everest Group PEAK Matrix® evaluation.  
  • Viewpoint

    July 10, 2025
    The rapid rise of generative AI has led to a global infrastructure transformation, accelerating demand for high-performance computing and next-generation data centers. As enterprises and governments invest in sovereign compute capabilities, India is emerging as a key player due to its expanding digital economy, progressive policy environment, and growing hyperscaler activity. This report explores how India’s data center ecosystem is evolving, from concentrated tier-1 city hubs to a more distributed, regionally balanced model aligned with AI demands. However, not all regions are equally equipped to support dense, latency-sensitive AI workloads. Power availability, network infrastructure, land access, and environmental resilience vary widely across cities. To evaluate these differences, Everest Group introduces the CALIBER-DC framework, a comprehensive model that assesses regional data center readiness across key dimensions. This Viewpoint offers strategic insights for infrastructure developers, policymakers, and enterprises seeking to scale AI infrastructure in India.
  • Viewpoint

    July 09, 2025
    Generative AI has moved from an experimental tool to a core enterprise engine, unlocking business value across the entire IT stack. Yet every new parameter-rich model brings a heavy sustainability price tag: soaring electricity draw, intensified cooling loads, and water usage that stretches local resources. The very clouds that promise digital transformation risk casting a shadow over global net-zero goals. In this Viewpoint, Everest Group unpacks the contradiction. We trace how exponential AI workloads are stress-testing hyperscalers’ original green growth pledges, such as 100 percent renewable energy, water-positive campuses, circular hardware, placing these commitments at a pivotal phase of execution and accountability. Beyond this, this Viewpoint focuses on future opportunities. Hyperscalers, based on their scale and influence, hold immense power to reset ambitions and raise the bar for sustainable growth. We examine how hyperscalers are already investing in next-generation technologies that can improve energy and resource efficiency, as well as how they can do more in the future. Ultimately, this Viewpoint offers a forward-thinking playbook for technology providers and enterprises navigating the intersection of AI and sustainability. By turning intent into impact, hyperscalers, their ecosystems, and enterprises can work together to drive responsible innovation that not only meets the moment but defines the next era of cloud leadership.
  • Provider Compendium

    July 07, 2025
    The public cloud market is significantly growing due to enterprises’ pursuit of digital transformation, innovation, and operational resilience. Microsoft Azure has effectively addressed this demand through strategic investments in generative AI (in collaboration with OpenAI), industry-tailored cloud offerings, Microsoft Fabric for data, and robust security capabilities. As Azure’s portfolio expands, enterprises are turning to specialized Azure service providers to lead cloud migration efforts and drive ongoing optimization. These partners bring key expertise in cost efficiency, resource management, and cloud-native development, enabling organizations to maximize their Azure investments’ value. In response to evolving enterprise needs, Azure service providers are enhancing their go-to-market approaches, earning certifications and specializations, and building proprietary Azure-aligned IP. Their close collaboration with Microsoft allows them to deliver industry-specific, high-impact solutions that strengthen operations and unlock new growth opportunities. In this report, we assess 29 cloud service providers featured in the Microsoft Azure Services PEAK Matrix® Assessment 2024 and categorize them as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. Each profile offers a comprehensive picture of the provider’s operational overview, delivery presence, solutions on offer, investments, and market success.