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  • NEW
    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.
  • NEW
    Viewpoint

    July 07, 2025
    In today’s volatile and growth-focused economic landscape, with increasing stakeholder expectations, traditional Financial Planning and Analysis (FP&A) systems are no longer sufficient. These systems are often static, rely on manual data consolidation, and offer siloed reporting, making them unable to keep pace with modern enterprises’ dynamic needs. Finance leaders are now expected not only to interpret historical performance but also to steer business strategy in real-time. Systems of Execution (SoE) are autonomous, decision-executing enterprise platforms that close the gap between insight and action. Unlike traditional systems of record or engagement, SoE unify real-time data integration, AI-orchestrated decision-making, and autonomous execution to equip FP&A teams with continuous, adaptive planning capabilities. These platforms enable enterprises to respond proactively to external shocks, dynamically model business scenarios, and align finance operations with enterprise-wide strategic objectives.
  • NEW
    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.
  • Webinar

    June 24, 2025
    After nearly a three-year decline, the IT and BPO outsourcing industries were expected to rebound in 2025. However, macroeconomic headwinds – including shifts in cross-border cost structures – continue to create challenges, while the rapid adoption of AI is fundamentally transforming deal structures and economics. In this webinar, our experts explored the key trends shaping the economics of outsourcing deals in the first half of 2025. We also examined the evolving pricing dynamics of software and cloud platforms – and discussed what these shifts mean for both buyers and providers.
  • Viewpoint

    June 16, 2025
    AI is rapidly redefining how enterprises manage customer interactions, particularly in the context of language diversity across global markets. Traditional language translation methods, such as human interpreters or multilingual agents, have long posed challenges due to high costs, inefficiencies, and inconsistent service quality. AI-driven tools offer a scalable, accurate, and cost-effective alternative, enabling enterprises to serve customers in their preferred languages. The report explores how AI-powered language interpretation is delivering seamless, multilingual Customer Experiences (CXs) at scale. With survey insights from 100 respondents, which includes enterprises, IT BPOs, GSIs, and Customer Experience Management (CXM) providers, the report highlights current adoption trends, enterprise readiness, and use cases. It also addresses strategic priorities, including the shift toward low-cost delivery regions and AI’s role in supporting a linguistically diverse workforce without relying on native-language agents. The report also outlines challenges and concerns from the lens of both enterprises and providers. Moreover, it positions AI-powered language interpretation as a key global CX transformation enabler, offering enterprises a practical roadmap to enhance customer engagement, operational efficiency, and market reach in an increasingly connected and multilingual world. Scope All industries and geographies Contents In this report, we highlight: The need for real-time AI-powered language interpretation tools and their applications in contact centers Enterprises’ readiness for these tools and key requirements from them Language interpretation technology’s implications and business benefits in CXM Providers’ role in enabling AI-enabled language interpretation’s widespread adoption Potential challenges associated with the technology, along with adoption best practices
  • Viewpoint

    June 12, 2025
    Life sciences enterprises are increasingly turning to Real-world Evidence (RWE) as an essential input for decision-making across the product life cycle – from early-stage R&D to post-market access and safety. RWE offers validated insights into treatment effectiveness, patient outcomes, and safety, but fragmented data sources, inconsistent quality, and evolving compliance expectations often challenge its generation. With the rising volume and diversity of Real-world Data (RWD), traditional analytics approaches are no longer sufficient. AI, including technologies such as NLP, machine learning, and generative models, is redefining how RWE is produced and operationalized. AI is accelerating data curation, enabling predictive analytics, and delivering regulatory-grade evidence at scale. This Viewpoint outlines how AI is transforming the RWE landscape across six domains: drug discovery, clinical trials, manufacturing, commercialization, pharmacovigilance, and regulatory affairs. It also explores emerging models such as insights-as-a-service and autonomous evidence networks, which offer scalable, modular engagement approaches for AI-powered RWE. The report provides practical recommendations for both enterprises and providers, covering capability investments, infrastructure modernization, governance models, and partnership strategies. It aims to help stakeholders reimagine their data-to-evidence journeys and build future-ready ecosystems for continuous, AI-enabled insight generation. Scope Industry: life sciences Geography: global Contents In this report, we examine: RWE’s current landscape and growing importance in life sciences AI’s role in addressing foundational RWE challenges AI-enabled key RWD/RWE use cases across the product life cycle Emerging engagement models such as BPaaS, AaaS, and IaaS Future-forward models, including autonomous evidence networks and modular AI-enabled partnerships Strategic considerations to operationalize AI-powered RWE for enterprises and providers
  • Pulse

    June 12, 2025
    Pulses deliver forward-looking insights into the evolution and impact of science, technology, and trends on global transformation. By engaging with our Pulses, you will gain a deeper understanding of each topic's significance, the key innovators driving change, and the future direction we anticipate. These insights are designed to stimulate discussions within your teams, challenging you to consider your preparedness for impacts on new product development, innovation, vision, strategy, R&D, and beyond.
  • Tech Launch Perspective

    June 09, 2025
    ServiceNow Knowledge 2025 marked a significant evolution in the company’s AI strategy, positioning the Now Platform as an AI-first operating system for enterprise transformation. Key announcements included the launch of AI Agent Studio – a no-code environment to build task-specific AI agents – alongside AI Control Tower, a governance framework for cross-enterprise agent oversight, and Agent Fabric, which enables seamless coordination between ServiceNow and third-party AI agents. These innovations drive the shift from siloed automation to intent-driven orchestration and autonomous operations. ServiceNow also extended its reach beyond IT with the unveiling of a unified AI-powered CRM that integrates sales, service, and fulfilment processes. In parallel, the company expanded its Core Business Suite to embed AI into HR, procurement, and finance workflows. For enterprises and providers alike, the event underscored emerging opportunities around AI lifecycle services, agent governance, and cross-platform workflow transformation. Scope All industries and geographies This report is based on our assessment of ServiceNow’s Knowledge 2025 event Contents In this report, we examine: Key enterprise issues and objectives related to agentic AI, as well as ServiceNow’s alignment with the objectives ServiceNow’s current positioning and its major AI offerings ServiceNow’s key product and feature announcements at Knowledge 2025
  • Discovery

    June 06, 2025
    These Discoveries are available only to Advanced SciTech members. For information on membership, please contact us Discoveries focus on specific science and technology innovations that address today’s critical business issues and challenges. These brief yet detailed profiles highlight innovations across the world's leading companies, start-ups, universities, institutes, and the entire R&D ecosystem and leverage the Strengths, Opportunities, Aspirations, and Results (SOAR) framework to analyze the innovations’ rationale and possible benefits. The insights will help you understand the themes shaping science and technology development, enhance your R&D, strengthen strategies, comprehend the developer landscape, and identify best practices for your product pipelines.
  • PEAK Matrix®

    June 04, 2025
    Healthcare enterprises are increasingly recognizing the strategic value of Data, Analytics, and AI (DAAI) as data-driven decision-making becomes central to achieving business and clinical outcomes. While DAAI initiatives have traditionally focused on cost containment and operational efficiencies, there is now a clear shift toward enhancing patient experiences and driving improved health outcomes. This evolving focus is prompting organizations to invest in robust data integration capabilities and advanced analytics, with particular emphasis on data privacy, value-based care, and population health management. Although payers have historically led DAAI adoption, providers are rapidly advancing their capabilities. They are essential in shaping enterprise DAAI strategies and roadmaps, modernizing infrastructure, and delivering actionable insights that support high-impact decision-making. As a result, healthcare organizations are realizing measurable improvements in performance, care delivery, and patient engagement. In this report, we assess 32 healthcare DAAI providers featured on the Healthcare Data, Analytics, and AI Services PEAK Matrix® Assessment 2025. The report analyzes the healthcare DAAI services market size, DAAI service themes for healthcare enterprises, and providers’ capabilities and market success. The research will enable enterprises to select the best-fit provider for their sourcing needs. Scope Industry: healthcare Service: healthcare DAAI services Geography: global Contents In this report, we assess: Healthcare DAAI services market trends Each provider’s capabilities and market success Providers’ key strengths and limitations