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  • 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.
  • Viewpoint

    June 17, 2025
    In an era of rising cyber threats and geopolitical instability, governments are rethinking how they secure their digital foundations. As critical national infrastructure becomes increasingly data-driven, the concept of data embassies has emerged as a proactive strategy to safeguard digital sovereignty. These embassies allow governments to store vital digital assets in trusted foreign jurisdictions while retaining full legal control. This report explores how data embassies are evolving from niche diplomatic experiments into strategic digital infrastructure. It analyzes the maturity curve across countries, draws lessons from Estonia’s pioneering model, and outlines the growing role of public-private partnerships in enabling this transformation. It also highlights how service and technology providers can play a foundational role in architecting, operating, and scaling data embassies in line with national sovereignty goals. The report concludes by presenting key design principles, core components, and considerations for countries evaluating the path forward. Scope All industries and geographies Contents: In this report, we examine: The strategic rise of data embassies Data embassy strategies’ global maturity Estonia’s pioneering role in the data embassy landscape Data embassies as the next frontiers for public-private partnerships New opportunities for services and solutions in data embassies Why not all nations will pursue data embassies The way forward with data embassies
  • Viewpoint

    May 30, 2025
    Enterprises are significantly investing in data and AI, yet many are struggling to achieve meaningful returns. The underlying issue in most cases is a weak or fragmented data foundation. Addressing this challenge requires first understanding what data foundation truly means within the enterprise’s context – starting with a clear assessment of data maturity. This Viewpoint introduces the Data Transformation Success Model (DTSM), a comprehensive framework that helps enterprises evaluate and elevate their data maturity across five interconnected pillars: vision and strategy, data technology and consumption, governance, people, and processes. By identifying capability gaps and benchmarking progress, DTSM enables organizations to build a strong, scalable foundation that supports long-term business goals.  The report also highlights common pitfalls in data transformation and offers practical recommendations to overcome them. With DTSM, enterprises can align data strategies with organizational objectives, improve RoI, and drive meaningful transformation. The model’s maturity classification – laggard, typical, or advanced – helps organizations understand where they stand and develop targeted roadmaps to reach their desired state. Scope All industries and geographies Contents In this report, we examine: Why ambitious data and AI initiatives fail How to ensure success with data maturity assessment DTSM and its parameters What different data maturity stages look like Best practices for data officers
  • PEAK Matrix®

    May 14, 2025
    Enterprises across North America are advancing their data and AI strategies while grappling with infrastructure, governance, and talent-related challenges. As generative AI adoption gains momentum, organizations focus on scalable, business-aligned solutions that deliver measurable impact. To navigate this evolving landscape, they are turning to specialist service providers with deep domain expertise and advanced AI capabilities. In response, providers are strengthening their offerings through investments in generative AI, cloud-based AI platforms, and industry-specific accelerators. In this report, we evaluate 32 providers featured on Everest Group’s Data and AI Services Specialists – North America PEAK Matrix® Assessment 2025.  
  • Viewpoint

    April 30, 2025
    In today’s rapidly evolving digital landscape, vector databases are emerging as a key enabler for enterprises looking to harness the potential of unstructured data, particularly in the realm of agentic AI. As organizations generate vast amounts of unstructured data, traditional databases struggle to process and query this information effectively. Vector databases provide a solution by representing data as high-dimensional vectors, allowing for more efficient search, retrieval, and analysis. This report explores vector databases’ role in the modern AI ecosystem, examining their impact on unstructured data management, their comparison with traditional databases, and their growing adoption across industries. It highlights their importance in powering AI-driven applications such as personalization, recommendation systems, and vector search. The report also discusses the challenges enterprises face in adopting these technologies, the evolving supplier landscape, and the future of vector databases as they continue to be essential in digital transformation. Scope All industries and geographies Contents In this report, we examine: Vector databases against traditional databases Their role in generative AI implementations Their current adoption and supplier landscape The adoption challenges enterprises face Emerging trends in the vector database management system market The way forward with vectors
  • Provider Compendium

    April 14, 2025
    Enterprises are increasingly identifying gaps in their data ecosystems as they seek to harness generative AI’s full potential. To address these gaps, businesses are prioritizing their data strategy to build AI-ready data ecosystems. AI advances have amplified the importance of robust data management and governance. When scaling their AI initiatives, they are realizing the value of trustworthy data to ensure quality, consistency, and security. The focus has shifted to realizing value, with enterprises aiming to drive tangible business outcomes from their data initiatives. Enterprises demand their data strategies to deliver measurable business outcomes, leading to productivity gains, operational efficiencies, and unlocking new revenue streams. Data initiatives are now vital investments that directly contribute to building a competitive advantage in the market. This compendium provides detailed profiles of 31 service providers to assist D&AI service buyers in selecting providers that can serve their needs. The report helps enterprises choose the best-fit provider based on their sourcing considerations and empowers providers to benchmark their performance against their peers. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading D&AI providers, client reference checks, and an ongoing analysis of the D&AI services market Contents In this report, we: Examine the D&AI services market Classifies providers into Leaders, Major Contenders, and Aspirants on a capability-market-impact matrix Assess providers’ key solutions, delivery centers, investments, and use cases Lending operations technology solutions/tools: brief descriptions of key technology solutions

  • 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.
  • Viewpoint

    April 03, 2025
    In today’s digital economy, data security is a top priority for global enterprises worldwide. As organizations increasingly rely on data for decision-making, fuel innovation, and maintain a competitive edge, the risks associated with data breaches, unauthorized access, and cyber threats continue to escalate. Data security now goes beyond preventing attacks. It safeguards the integrity, confidentiality, and availability of core business assets. In this report, we examine data security’s key dimensions, outlining the essential measures that enterprises must adopt to protect their data assets. The report analyzes data security’s importance in the digital economy and the key differences between data security, cybersecurity, and data privacy. It recommends best practices to secure data across its life cycle. The report assesses the provider landscape, emerging technologies, and generative AI’s dual role in data security. Additionally, it evaluates data security’s future and its influence on digital transformation. Scope All industries and geographies Contents In this report, we examine: Data security’s importance in today’s digital economy Key differences between data security, cybersecurity, and data privacy Best practices to secure data across its life cycle Evolving provider landscape and emerging technologies Generative AI’s impact on data security Future trends shaping data security and digital transformation
  • FEATURED
    Viewpoint

    March 19, 2025
    Systems of Execution (SoEs) represent the critical missing layer in enterprise AI adoption, transforming isolated AI experiments into a scalable, autonomous execution framework. Traditional enterprise systems store and display information but do not bridge the gap between AI-driven insights and real-time execution. SoEs fill this void by integrating AI-driven decisions directly into operational workflows, ensuring seamless automation at scale. By adopting SoEs, enterprises can enhance real-time responsiveness, operational efficiency, and data-driven agility, unlocking new levels of automation and intelligence across business functions. Everest Group developed this research to address a pressing opportunity: enterprises are investing heavily in AI, yet many have not realized its full potential as it remains primarily an analytical tool rather than an execution engine. The shift toward agentic AI – where AI makes and executes decisions independently – demands an execution layer that integrates data, decision-making, and automation in real time. As organizations look to enhance competitiveness and agility, adopting SoEs will enable them to transform AI from an advisory tool into an active business outcome driver. This shift positions enterprises to scale their AI investments effectively and maximize their impact.
  • Tech Launch Perspective

    March 12, 2025
    Telecom-specific AI-powered solutions will be vital in optimizing telecom infrastructure and delivering next-generation connectivity as 5G, Open RAN, and network disaggregation gain momentum. The industry is significantly transforming, with Large Language Models (LLMs) and Small Language Models (SLMs) being increasingly adopted to automate, optimize, and enhance network operations, customer service, and infrastructure planning. Unlike generic AI models, industry-specific LLMs and SLMs are designed to understand, process, and generate telecom-relevant insights, making them more efficient and accurate for domain-specific applications. SLMs are particularly valuable for low-power, real-time AI applications, making AI-driven network optimization and diagnostics more scalable. This LLM integration offers numerous benefits, including improved efficiency, personalized customer interactions, and advanced network optimization. In this report, we explore NetoAI’s SLM product TSLAM 1.5B's transformative potential, examining its key features and impact on network management, customer support, and security assistance. We also provide insights into its market positioning, key benefits, and broader implications for telecom enterprises as they cost-effectively adapt to sustainable standards. Scope All industries and geographies Contents In this report, we: Provide insights into the global telecommunications industry Examine NetoAI’s current positioning and alignment among telecommunication enterprises Explore the features, benefits, and challenges of NetoAI’s product TSLAM 1.5B Membership(s) Application Services Artificial Intelligence (AI) Banking and Financial Services Information Technology Cloud and Infrastructure Services Clinical Development Technology Cybersecurity Data & Analytics Digital Services Digital Workplace Enterprise Platform Services (EPS) Healthcare Payer and Provider Information Technology Insurance Information Technology Marketing and Interactive Experience Life Sciences Information Technology Retail and CPG Sustainability Technology and Services Sourcing and Vendor Management