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  • 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.
  • June 30, 2025
    In May 2025, Google Cloud expanded its sovereign cloud offerings to address increasing demands for data sovereignty and operational autonomy. It launched Google Cloud Air-Gapped, a fully isolated environment designed for sectors with stringent data security requirements, such as defense and intelligence. This solution operates without external network connectivity and is authorized to handle US government Top Secret data. Google Cloud Dedicated, developed in partnership with Thales, a French leader in cybersecurity, offers region-specific services operated by local partners to meet national compliance standards, such as France’s SecNumCloud. The Google Cloud Data Boundary service expansion now offers customers granular control over data residency and access, complemented by the User Data Shield, which incorporates Mandiant’s security assessments to validate application security postures. While these initiatives demonstrate Google Cloud’s commitment to offering flexible, secure, and compliant cloud solutions, challenges remain. These challenges include the limited geographic availability of certain services and complexities in integrating sovereign solutions with existing multi-cloud architectures. Enterprises must carefully assess these factors when considering Google Cloud’s offerings for their sovereignty objectives.
  • June 17, 2025
    Enterprises 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
  • May 22, 2025
    As AI models become more complex and resource-intensive, enterprises must modernize their infrastructure to support high-performance, scalable, cost-effective workloads. Core challenges in modernization include integrating multimodal data, enabling autonomous agents, and optimizing the AI stack across diverse environments. Enterprises also aim to deploy AI in hybrid and edge settings, requiring flexibility, low latency, and data sovereignty. At Google Cloud Next 2025, Google announced AI infrastructure upgrades, including Ironwood TPUs for inference at scale, AI Hypercomputer improvements, expanded VM families, and re-architected networking with multi-shard architecture. Google also emphasized hybrid and distributed AI deployment with support for air-gapped environments and on-premises inference using NVIDIA Blackwell systems. These updates show Google’s intent to deliver an integrated AI stack, combining custom hardware, orchestration tools, and productivity platforms. However, these offerings also raise questions around interoperability with third-party tools, operational complexity, and cost transparency. In this report, we analyze Google’s AI infrastructure announcements at Google Cloud Next 2025, assessing their alignment with enterprise needs across performance, scalability, and deployment. The report covers key enterprise priorities, Google’s positioning, detailed product reviews, and Everest Group’s perspective on strengths and gaps of announced AI infrastructure-related products, offering a clear view of Google’s AI infrastructure maturity. Scope All industries and geographies Contents In this report, we examine: Key AI infrastructure-related products launched at Google Cloud Next 2025 Google’s current positioning and alignment in the AI infrastructure market AI infrastructure-related products’ specifications, benefits, and challenges
  • Dec. 27, 2024
    The impact sourcing ecosystem is rapidly expanding due to the growing interest in sustainable and socially responsible business practices. Enterprises and providers are increasingly incorporating diverse and underserved talent into their operations due to cost efficiency, access to specialized talent, and alignment with ESG and SDG objectives. Traditional providers dominate hiring volumes, while specialists see steady growth in revenue and headcount as they refine talent initiatives and partner with NGOs and educational institutions. Buyers recognize the dual value of cost benefits and corporate citizenship, advocating for more robust reporting and impact sourcing policies’ disclosure. In response, providers are investing in enhanced training programs, certifications, and technology upskilling, enabling impact workers to transition to more complex, higher-value roles. Despite generative AI’s disruptive potential concerns, agentic AI emerges as a promising tool to empower the impact workforce. Key market trends include the CXM industry’s increasing contribution to impact sourcing revenue, growing adoption of impact workers in MEA and APAC regions, and alignment with regulatory frameworks promoting fair labor practices. Governments support impact sourcing through incentives and regulations, while providers adopt inclusive hiring strategies and offer tailored employee support to complement workforce diversity and drive social impact. In this report, we explore macroeconomic drivers, buyer feedback, and generative AI’s influence on the impact sourcing space. Africa stands poised to lead the global impact sourcing growth, showing this approach’s transformative potential in fostering a purpose-driven and sustainable business landscape. The report aims to enable enterprises and providers to incorporate impact sourcing and other inclusive talent management strategies in their organizations. Scope Broad industry with a focus on impact sourcing talent strategy Geography: global Impact sourcing programs of both impact sourcing specialists and traditional service providers This report is based on primary and secondary data collection, conversations with market participants (buyers, outsourcing service providers, and impact sourcing specialists), and fact-based research Contents In this report, we analyze: The concept of impact sourcing and the comprehensive impact sourcing market landscape, including market size, trends, and talent portfolio Impact sourcing’s talent management practices across the hire-to-retire cycle Buyers’ take on impact sourcing Impact sourcing engagement case studies Technology’s role on the impact sourcing market and the future of impact sourcing programs Memberships This Market Report is available to All Memberships
  • Dec. 20, 2024
    The public cloud market is rapidly growing, driven by enterprises' heightened focus on digital transformation, scalability, and resilience to thrive in a competitive business environment. Google Cloud has become a prominent participant, capitalizing on its comprehensive technology offerings, including cutting-edge data analytics and AI/ML capabilities, to address evolving enterprise needs. With tools such as BigQuery and Vertex AI, along with its commitment to open-source frameworks, Google Cloud is a top choice for organizations focused on data-centric innovation and environmental sustainability. As the landscape evolves, more enterprises are engaging with Google Cloud service providers to facilitate smooth cloud integration, cost optimization, and cloud-native development. These providers enable organizations to fully leverage Google Cloud, providing specialized expertise in migration, automation, and scalability and delivering industry-specific insights directly aligned with client objectives. To meet these growing demands, Google Cloud providers are expanding their service offerings by acquiring advanced certifications, creating unique tools tailored for Google Cloud, and reinforcing their partnerships with Google. In this report, we assess 26 Google Cloud service providers featured in the Google Cloud Services PEAK Matrix® Assessment 2024 and categorize them as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading Google Cloud service providers, client reference checks, and ongoing analysis of the cloud services market Contents In this report, we examine: The market impact and vision and capabilities of 26 providers with expertise in Google Cloud services The providers’ key strengths and limitations Enterprise sourcing considerations Membership(s) Cloud and Infrastructure Services Google Cloud Sourcing and Vendor Management
  • Oct. 21, 2024
    Enterprises struggle to define, measure, realize, and refine value from their cloud investments, leading to increased dissatisfaction among cloud-consuming businesses. The gap between cloud promises and reality highlights fragmented cloud cost management and misaligned strategies. Consequently, FinOps has become a key enterprise imperative for navigating the cloud-centric IT landscape as it ensures optimizing budgets through data-driven decisions and maximizing RoI. Enterprises seek FinOps products that enable business-driven cost decisions, offer strong financial visibility, role-based access, guaranteed savings, promote cross-team collaboration, and cost intelligence. In response, FinOps cloud cost management providers are improving their product functionalities and investing in next-generation technologies to enhance capabilities across cloud cost reporting, optimization, automation, governance, and security. This compendium provides comprehensive and fact-based snapshots of 13 providers, highlighting their capabilities in the FinOps cloud cost management products market. Each profile offers a comprehensive picture of the provider’s operational overview, capabilities, recent developments, and market success. The research will enable buyers to select the best-fit provider for their needs and allow providers to benchmark themselves against the 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 FinOps cloud cost management product providers, client reference checks, and an ongoing analysis of the FinOps market Contents This report features a detailed assessment of 13 providers that focus on the FinOps cloud cost management products market. Membership(s) Cloud and Infrastructure Services Sourcing and Vendor Management
  • Aug. 09, 2024
    Enterprises today struggle to define, measure, realize, and refine value from their cloud investments, leading to increased dissatisfaction among cloud-consuming businesses. The gap between cloud promises and the reality highlights fragmented cloud cost management and misaligned strategies. As a result, FinOps has become a key enterprise imperative to navigate the cloud-centric IT landscape. Using FinOps ensures enterprises optimize their cloud budgets through data-driven decisions and maximize cloud RoI. Enterprises seek FinOps products that enable business-driven cost decisions, offer strong financial visibility, role-based access, guaranteed savings, foster cross-team collaborations, and cost intelligence. In response, FinOps cloud cost management providers are improving their product functionalities and investing in next-generation technologies to enhance their capabilities across cloud cost reporting, optimization, automation, governance, and security. In this report, we assess 13 FinOps providers and position them on Everest Group’s PEAK Matrix® framework as Leaders, Major Contenders, and Aspirants based on their capabilities. Each profile offers a comprehensive picture of the provider’s key strengths and limitations. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading FinOps cloud cost management product providers, client reference checks, and an ongoing analysis of the FinOps market Contents In this report, we: Examine the market impact, vision, and capabilities of 13 FinOps providers Assess providers’ key strengths and limitations Evaluate enterprise sourcing considerations Membership(s) Cloud and Infrastructure Services Sourcing and Vendor Management
  • May 08, 2024
    During its Google Cloud Next ’24 event in Las Vegas on April 9-11, 2024, Google announced the release of new features under its Workspace offering. Key takeaways from the release include Google consolidating its generative AI offerings under Gemini, unveiling advanced features for communication and collaboration, and progressing in AI agent adoption through open-source models and Vertex AI agent builder. In this report, we analyze the product, highlighting areas for improvement, such as Google Workspace’s restricted end-to-end play in digital workplace services and its position lagging behind Microsoft in this space. Additionally, we assess the product, evaluating how well Google Workspace has promoted its messaging of a generative AI workspace through practical AI solutions and its strong emphasis on channels and partnerships. Scope All industries and geographies The report is based on our assessment of information released by Google Cloud during its Google Cloud Next ’24 event Contents In this report, we: Outline key workplace issues and objectives, along with themes that are driving and inhibiting demand Detail Google’s current positioning concerning its workspace portfolio Analyze the product’s strengths and areas of improvement Membership(s) Digital Workplace Sourcing and Vendor Management
  • May 06, 2024
    During its Google Cloud Next ’24 event, in Las Vegas on April 9-11, 2024, Google Cloud emphasized its dedication to AI security by introducing Gemini, a large language model designed to revolutionize threat detection and response. This innovation uses AI and zero-trust principles to automate tasks and strengthen security posture. Additionally, Google Cloud announced advances in simplifying endpoint security, streamlining processes, and improving threat mitigation. Another key theme was the focus on intelligence-driven security operations. By leveraging AI and analytics, Google Cloud aims to provide proactive threat intelligence and real-time threat detection, enabling faster and more agile incident response. In this report, we provide our cutting-edge insights into the new product release and explore its potential to address key challenges and objectives, empowering informed early-stage product decisions. Scope All industries and geographies The report is based on our assessment of information released by Google Cloud during its Google Cloud Next ’24 event Contents In this report, we: Outline key security issues and objectives, as well as themes that are driving and inhibiting demand Detail Google’s current positioning with respect to its security products portfolio Analyze the product’s strengths and areas of improvement Membership(s) Cybersecurity Sourcing and Vendor Management