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

Enterprises are increasingly recognizing their data ecosystem gaps as they strive to fully harness generative AI’s potential. Consequently, they are prioritizing AI-ready data ecosystems, emphasizing robust data management and governance. When scaling their AI initiatives, they are gradually realizing trustworthy data’s value to ensure quality, consistency, and security. In addition, the focus has shifted toward realizing value, with enterprises aiming to drive tangible business outcomes from their data initiatives. Enterprises demand their data strategies to deliver measurable business outcomes. This has led to a sharp focus on driving productivity gains, operational efficiencies, and unlocking new revenue streams. Data initiatives are now viewed as vital investments to gain a competitive edge in the market. This compendium provides detailed profiles of 27 providers featured on Everest Group’s D&A Services PEAK Matrix® Assessment 2024. This report will help enterprises choose the best-fit provider based on their sourcing considerations, while providers will be able to 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 specialist AWS service providers, client reference checks, and an ongoing analysis of the cloud services market Contents This report features detailed assessments, including profile overviews, key solutions, delivery centers, investments, and case studies of 27 providers that focus on D&A services. Membership(s) Data & Analytics Sourcing and Vendor Management

Modern Data Stack (MDS) components are the foundational building blocks of any data ecosystem. Over the years, these components have transformed significantly to meet growing enterprise demands due to the increasing recognition of data as a vital asset in enabling digital transformation for a sustained competitive advantage. To navigate this landscape, enterprises must formulate a well-defined data strategy aligning with their unique needs and goals. This strategy should comprehensively evaluate MDS components, identify the most relevant ones, determine their integration, and assess their potential to deliver measurable business impact. Chief Data Officers (CDOs) will be pivotal in this process as they must carefully balance innovation with RoI. Scope All industries and geographies Contents In this report, we examine: Demand themes driving the shift in MDS Overview of MDS 2.0 The technology provider ecosystem for MDS Key considerations for CDOs when exploring MDS Membership(s) Data & Analytics Sourcing and Vendor Management

In the AI and generative AI era, data has evolved from a byproduct of business processes to a strategic asset driving innovation and decision-making. Despite its importance, enterprises face significant challenges in effectively managing and utilizing data, including data silos, low data quality, inefficient discovery processes, and compliance risks. Data catalogs have emerged as a foundational tool to address these issues. By centralizing metadata and providing detailed data inventories, they enable enterprises to discover, understand, and trust their data assets. Modern data catalogs go further by incorporating AI-driven capabilities such as semantic search, knowledge graph visualization, and intelligent recommendations, transforming how organizations access and use data. In this report, we explore data catalogs’ evolution, capabilities, role in solving enterprise data challenges, adoption strategies, and market trends. Scope All industries and geographies Contents In this report, we examine: Data management challenges and business implications for data leaders Data catalogs’ evolution Modern data catalog solutions’ core components Technology provider landscape and innovations The evolving data catalog supplier ecosystem Membership(s) Data & Analytics Sourcing and Vendor Management

Enterprises are increasingly recognizing gaps in their data ecosystems as they strive to fully harness gen AI’s potential. Businesses are prioritizing AI-ready data ecosystems, emphasizing robust data management and governance. When scaling their AI initiatives, they are gradually realizing the value of trustworthy data to ensure quality, consistency, and security. In addition, the focus has shifted toward realizing value, with enterprises aiming to drive tangible business outcomes from their data initiatives. Enterprises demand their data strategies to deliver measurable business outcomes. This has led to a sharp focus on driving productivity gains, operational efficiencies, and unlocking new revenue streams. Data initiatives are now viewed as critical investments to gain a competitive edge in the market. In this report, we analyze 27 Data and Analytics (D&A) providers featured on Everest Group’s D&A Services PEAK Matrix® 2024, highlighting their 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 D&A providers, client reference checks, and an ongoing analysis of the D&A services market   Contents In this report, we examine: D&A provider landscape D&A Services PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Data & Analytics Sourcing and Vendor Management

The Data and Analytics (D&A) and AI market is rapidly expanding, driven by growing data volumes and AI-ML advances. Enterprise demand for D&A and AI primarily stems from their need to accelerate digital transformation, optimize operations, and drive scalability. IBM plays a key role in the D&A and AI landscape, enabling enterprises to efficiently build, deploy, and govern AI models while driving AI-powered analytics and ensuring stringent data privacy and compliance. Innovations and updates announced at the TechXchange 2024 event focus on enhancing generative AI efficiency, bolstering AI governance, and accelerating business automation with agentic workflows. In this report, we examine IBM’s latest updates from TechXchange 2024, outlining growth opportunities, challenges enterprises face, and IBM’s current positioning and new offerings in this space. The report also highlights IBM’s key differentiators and potential improvement areas. Scope All industries and geographies The assessment is based on Everest Group’s participation in, and monitoring of announcements made at the IBM TechXchange 2024 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for D&A and AI IBM’s current positioning in the D&A and AI market Announcements from IBM TechXchange 2024 Analyze the new release’s strengths and areas of improvement Membership(s) Data & Analytics Sourcing and Vendor Management

Snowflake is a cloud-based data platform that unifies data management, analysis, and sharing. It provides a centralized location for structured and unstructured data, enabling data-driven insights and innovation. The platform’s architecture supports scalability, concurrency, and data sharing and incorporates data security and governance features. In this report, we examine Snowflake’s latest updates from its Data Cloud Summit 2024, explore growth areas and challenges in the field, evaluate Snowflake’s offerings, highlight their unique features, and suggest what could be better. Scope All industries and geographies This assessment is based on Everest Group’s tracking of Snowflake’s Data Cloud Summit 2024 Contents In this report, we examine: Key enterprise demand themes Snowflake’s current positioning in data and analytics Snowflake’s Data Cloud Summit 2024 announcements Everest Group’s review of Snowflake’s Data Cloud Summit 2024 product announcements Membership(s) Data & Analytics Sourcing and Vendor Management

As the immersive experience landscape evolves from its initial stages, it transforms both consumer and enterprise digital experiences. Despite its early development stage, enterprises recognize immersive experience services’ value and plan to invest in this space. The surge in consumer demand for immersive and captivating experiences presents numerous opportunities for enterprises across various sectors, thereby driving the immersive experience market. Immersive marketing, customer experiences, employee training, live virtual events, and digital asset trading are some potential immersive technology application areas. Advances in Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) technologies are propelling this market growth, offering users and enterprises immersive content experiences. By integrating immersive technologies across BFSI, manufacturing, retail, education, gaming, healthcare, hi-tech, and entertainment sectors, enterprises can reshape consumer behaviors and create new opportunities for engaging customer experiences. This market expansion is also due to rising investments in immersive technology and Web 3.0, highlighting immersive experience services’ promising future across industries. This compendium provides accurate, comprehensive, and fact-based snapshots of 16 immersive experience service providers’ capabilities. Each profile offers a detailed overview of the provider’s vision, solutions, partnerships, and investments. The report will enable buyers to select the best-fit provider for their needs and empower providers to benchmark themselves against their competition. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading technology providers, client reference checks, and an ongoing analysis of the immersive experience services market Contents In this report, we: Examine the immersive experience services landscape Categorize providers as Leaders, Major Contenders, and Aspirants Compare providers’ key strengths and limitations Membership(s) Digital Services Engineering Research and Development Marketing and Interactive Experience Software Product Engineering Services Sourcing and Vendor Management

Databricks, a key player in the data and analytics market, delivers a cloud-based platform that enables enterprises to manage, analyze, and harness the value of their data. Its data intelligence platform aims to provide a unified solution for data storage and an AI-led innovation toolkit while maintaining enterprise data security. In this report, we examine Databricks’ latest updates from its 2024 Data + AI Cloud Summit, explore growth areas and challenges in the field, examine Databricks' offerings, highlight their unique features, and suggest what could be better. Scope All industries and geographies The assessment is based on Everest Group’s tracking of Databricks’ Data + AI Cloud Summit 2024 Contents In this report, we examine: Key enterprise issues and objectives Databricks' current positioning in data and analytics Databricks’ Data + AI Cloud Summit 2024 announcements Everest Group’s review of Databricks’ Data + AI Cloud Summit 2024 product announcements Membership(s) Data & Analytics Sourcing and Vendor Management

The data and analytics market is evolving rapidly due to a surge in data volume and advances in AI and ML. Businesses are increasingly using data analytics to gain insights, improve decision-making, and drive innovation. Key trends include integrating big data, real-time analytics, and predictive modeling. Google is among the top three cloud providers, offering platforms such as BigQuery for data storage, AI-driven analytics, and ML platforms. Innovations and updates from Google Next 2024 will directly impact how enterprises manage data and streamline their analytics processes. In this report, we examine Google’s latest updates from Google Next 2024 on data and analytics. It explores growth areas and challenges in the field, outlines Google’s current offerings, highlights unique features, and suggests ways Google can further improve its offerings. Scope All industries and geographies The assessment is based on Everest Group’s participation and tracking of announcements at the Google Next 2024 Contents In this report, we examine: Key enterprise issues and objectives Google’s current positioning in data and analytics Google Next 2024 announcements Everest Group’s review of Google Next 2024 product launch Membership(s) Data & Analytics Sourcing and Vendor Management