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

The AI market continues to grow rapidly due to expanding enterprise data and AI-ML advances. Organizations are adopting AI solutions to drive digital transformation, enhance decision-making, and scale operational efficiency. At GTC 2025, NVIDIA underscored its commitment to advancing the AI ecosystem. It announced impactful updates to its AI hardware offerings and unveiled new models for reasoning and physical AI. These updates highlight a focus on broadening the horizons of AI and helping enterprises efficiently scale AI workloads. In this report, we analyze NVIDIA’s latest announcements from GTC 2025 against the AI market’s prevailing drivers and inhibitors. This report explores NVIDIA’s key offerings, differentiators, and areas where additional refinements could enhance its value proposition. Scope All industries and geographies This assessment is based on Everest Group’s participation in and monitoring of announcements made at the NVIDIA GTC 2025 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for AI NVIDIA’s current positioning in the AI market Announcements from NVIDIA GTC 2025

AI has long been rooted in research labs and academia, with early, tentative applications in the business world. Over the past decade, however, businesses have steadily integrated AI into core strategies and functions, marking its shift from novelty to necessity. In this report, we explore the evolution of AI, highlighting the key milestones in its transformative journey. As organizations seek to uncover new use cases for generative AI, this report provides insights into industries spearheading its adoption and highlights innovative use cases that are being explored. It also examines change management strategies’ role in ensuring smooth AI adoption and outlines how enterprises are now approaching AI at scale, carefully balancing risks and rewards. With AI advances setting the stage for the agentic era, the report assesses the potential impact on business strategy and functions, offering key steps to ensure a smooth transition. As AI continues to evolve, so do its associated risks. The report, thus, underscores the importance of robust governance frameworks to ensure secure, ethical, and compliant AI deployments. Scope All industries and geographies Contents In this report, we: Examine AI’s evolution and key milestones that have shaped its transformation Deep dive into generative AI adoption levels, change management strategies, and approaches to scaling AI while balancing benefits and risks Highlight AI’s latest advances and their role in agentic AI and impact on business strategy Emphasize the risks involved with AI advances and how effective governance ensures responsible and secure AI adoption Discuss future AI trends that should inform business strategies

In 2024, the AI ecosystem advanced significantly across hardware, language models, and applications. Yet, fully scaled generative AI initiatives remain a challenge as organizations face budget constraints, legacy data issues, and other barriers. In this webinar, our experts explored how generative AI adoption is evolving across industries, examined the impact of emerging AI regulations, highlighted innovations across the AI value chain, and discussed the shifting technology ecosystem. Attendees gained actionable insights to plan their 2025 AI deployments. What questions did the webinar answer? What is driving interest in generative AI now? How is the AI ecosystem evolving across industries? What role will emerging AI regulations play in shaping the AI landscape? What are the key themes and innovations expected to impact generative AI in 2025?

Enterprises adopt AI to cut costs, improve stakeholder experiences, and boost revenue, with investments set to rise as generative AI evolves. However, scaling AI remains difficult due to complex technology landscapes, legacy data challenges, unclear strategies, and data privacy concerns. Enterprises are moving from AI proofs of concept to high-value use cases, shaping their sourcing strategies. They prefer providers with advanced AI expertise, relevant project experience, and value-driven pricing models such as outcome-based and gain-sharing deals. Providers with industry-specific knowledge, talent upskilling strategies, strong AI governance, and deep technology expertise are well-positioned as enterprises seek reliable partners for measurable business outcomes. This compendium provides detailed profiles of 30 AI and generative AI service providers and will help enterprises choose the best-fit provider based on their sourcing considerations, while providers can benchmark their performance against their peers. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading AI and generative AI providers, client reference checks, and an ongoing analysis of the AI and generative AI services market Contents This report features detailed assessments, including profile overviews, key solutions, investments, and case studies, of 30 providers that focus on AI and generative AI services. Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

Enterprises use AI to reduce costs, enhance stakeholder experiences, and drive revenue, with investments expected to grow due to generative AI advances. However, scaling AI initiatives remains challenging due to complex technology landscapes, legacy data issues, unclear AI strategies, and data privacy concerns. Enterprises are shifting from experimental AI proof of concepts to scaling high-value use cases, influencing their sourcing strategies. They favor providers with proven expertise in advanced AI technologies, experience in similar projects, and the ability to provide value-driven pricing models, such as outcome-based and gain-sharing deals. Providers offering industry-specific knowledge, talent upskilling strategies, a clear focus on AI governance, and a deep understanding of advanced technologies are well-positioned for growth as enterprises prioritize dependable partners to achieve measurable business outcomes. In this report, we analyze 30 AI and generative AI providers featured on Everest Group’s Artificial Intelligence (AI) and Generative AI Services PEAK Matrix® Assessment 2024 and highlight each provider's strengths and limitations. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading AI and generative AI providers, client reference checks, and an ongoing analysis of the AI and generative AI services market Contents In this report, we examine: AI provider landscape AI and Generative AI Services PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

AI and ML have transformed the way enterprises manage, access, and use information. As modern-day enterprises endlessly generate and process data, it becomes increasingly difficult to manage data access across multiple systems, maintain its quality and reliability, and ensure security compliance. Enterprise search has emerged as a key solution to these problems as modern-day enterprise search solutions combine managing, governing, and searching for data under one offering. The integration of AI and generative AI technologies has evolved enterprise search solutions, allowing them to be queried in natural language and generate key insights and personalized recommendations based on the searched data. In this report, we explore the enterprise search technology market, provide a high-level view of notable market offerings, and gauge the technology’s industry adoption. Scope All industries and geographies Contents In this report, we examine: Enterprise search’s evolution Modern enterprise search solutions’ core components Key enterprise considerations influencing enterprise search adoption Technology provider landscape and the growing investment capital raised by providers Enterprise search solutions’ maturity and use across industries Key adoption challenges enterprises face Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

The Trust and Safety (T&S) industry has changed significantly, driven by the increasing volumes and diversity of content formats, the dynamic regulatory landscape online, and the need for nuanced regional content moderation services. As a result, the demand for data annotation and AI support services has grown as enterprises continue to explore using generative AI for content creation and moderation. This compendium provides accurate, comprehensive, and fact-based snapshots of 27 T&S service providers. Each profile offers a detailed overview of the provider’s scale of operations, recent developments and investments, T&S-specific technology solutions (including generative AI solutions), other technology capabilities, well-being initiatives, and delivery locations. The research enables buyers of T&S services to understand providers’ offerings and assess their capabilities. Scope All industries and geographies Contents This report features 27 T&S se

The Trust and Safety (T&S) industry has undergone significant changes, driven by the increasing volumes and diversity of content formats, the dynamic regulatory landscape online, and the need for nuanced regional content moderation services. Further, the demand for data annotation and AI support services has increased as enterprises continue to explore the use of generative AI for content creation and moderation. The T&S landscape has providers across multiple categories – IT/BPO, Contact Center Outsourcing (CCO), and niche/specialist providers. These providers are increasingly becoming strategic enterprise partners and helping them to solve their challenges through augmented offerings, investments, and partnerships. Additionally, they are expanding their delivery landscapes by identifying and investing in talent-rich regions to enable localized operations. In this report, we assess 27 T&S service providers and position them on the Trust and Safety Services PEAK Matrix® as Leaders, Major Contenders, and Aspirants. Each provider profile offers a comprehensive picture of its key strengths and limitations. The study will enable buyers to choose best-fit providers based on their sourcing considerations Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process, interactions with leading T&S service providers, client reference checks, and ongoing analysis of the T&S market Contents In this report, we examine: Everest Group’s PEAK Matrix® evaluation of 27 leading T&S service providers The competitive landscape of the T&S space Providers’ key strengths and limitations Membership(s) Trust and Safety Outsourcing Excellence/a>

The impact of generative AI on the Trust and Safety (T&S) Business Process Services (BPS) space has been significant and transformative. While generative AI can enhance efficiencies in T&S teams for content moderation, the sheer volume of content it generates poses a threat to existing moderation efforts. In this report, we explore generative AI’s impact on the evolution of content in digital platforms within the T&S industry. We also examine the industry-specific challenges posed by AI-generated content and discuss the short-term and long-term considerations necessary to future-proof T&S strategies for enterprises. Additionally, the report explores the benefits of outsourcing and provides detailed insights into the capabilities that enterprises should look for when selecting providers to manage AI-generated content. Scope All industries and geographies Contents In this report, we: Generative AI’s impact on digital platforms Industry-specific T&S challenges that generative AI poses Current enterprise measures to tackle AI-generated content Short- and long-term considerations to future-proof enterprise’s T&S capabilities Capabilities to look for when selecting a T&S service provider Membership(s) Trust and Safety Sourcing and Vendor Management