rsspricingandvaluation https://my.idc.com/rss/2808.do IDC RSS alerts IDC Survey Spotlight: How Are Leasing Volumes Trending for IT Assets? https://my.idc.com/getdoc.jsp?containerId=US53421826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey Spotlight examines how leasing volumes of IT assets are trending. IDC expects that through 2026 and into the next budget year, organizations will evaluate procurement strategies with a bent toward leasing as an effective budgetary tool. IDC also sees a trend of organizations expanding their relationships with existing IT leasing providers, looking to address additional CapEx-intensive areas of the business, such as material handling equipment (MHE) and healthcare equipment, to name a few.</P> IDC Survey Spotlight Wed, 25 Mar 2026 04:00:00 GMT Lara Greden IDC Survey Spotlight: What Is Driving the Demand for Buying GPUs in the Secondary Market? https://my.idc.com/getdoc.jsp?containerId=US53421926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey Spotlight explains that the primary fair market value of used GPU servers lies in their components, namely the GPUs and memory components. IT leaders are pursuing GPU components on secondary markets, especially due to supply constraints reducing the availability of new GPUs and due to being priced out of buying new ones. Not all workloads require the latest GPUs; therefore, as Blackwell units come to market, IDC expects AI training will shift to Blackwell while the older models will be repurposed for less demanding tasks or inference workloads. All of this upside for used GPUs is counterbalanced by concern over failure rates. Because they tend to experience 80–90% utilization rates over the first two to three years of life, integrity can be impacted. IDC will continue to monitor this space. </P> IDC Survey Spotlight Tue, 24 Mar 2026 04:00:00 GMT Lara Greden Worldwide Technology Buyer and Spending Outlook, February 2026: Banners https://my.idc.com/getdoc.jsp?containerId=US53436526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table presents results from IDC's 2026 <I>Future Enterprise Resiliency </I><I>and </I><I>Spending (FERS) </I><I>Survey, </I><I>Wave 11</I><I>,</I> which focuses on issues related to IT leaders' economic outlook and overall IT spending outlook for 2026, key focus areas for enhancing AI capabilities and AI data readiness, and IT leaders' assessment of tech vendors' AI marketing efforts.</P><P>It is first in a series of IT buyer outlook <I>FERS </I><I>S</I><I>urveys</I> across regions, technologies, and industries developed during 2026. This survey of 903 respondents in North America, Western Europe, and Asia/Pacific regions connected with IT leaders as they were starting to execute their 2026 plans from mid-February to early March. The survey was in the field at the time of the outbreak of the Middle East War. 679 respondents completed the survey prior to the outbreak of the war, so assessments of risk to IT spending plans may have been affected by this change. IDC will provide deeper analysis of this change where relevant. In detail:</P><UL><LI><B>Region </B><B>and c</B><B>ountry:</B> Results by region (Worldwide, North America, Western Europe, Asia/Pacific) and for countries with sample sizes over 100 (Canada, China, and the United States)</LI><LI><B>Size </B><B>and r</B><B>ole:</B> Results by company size (500+ to 10,000+) and by respondent role (IT, LOB, and C-level)</LI><LI><B>Industry:</B> Results by vertical for all verticals with sample sizes of 70+ selected aggregations of related verticals</LI><LI><B>Digital </B><B>b</B><B>usiness:</B> Results by level of shift to digital business and by percentage of 2026 spending allocated to innovation (high, medium, low)</LI></UL> Pivot Table Tue, 24 Mar 2026 04:00:00 GMT Rick Villars, Sudhir Rajagopal Data Sourcing and Pricing in the Age of AI: How Pricing, Rights, and Governance Are Shifting as AI Increases Data Demand and Scrutiny https://my.idc.com/getdoc.jsp?containerId=US54063826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Perspective explores how AI is driving structural renegotiation of data pricing, governance, and monetization. Enterprises are distinguishing between training rights, retrieval access, and live connectivity models, each with distinct economic implications. Development-stage monetization, attribution debates, and governance instrumentation are reshaping contracts and negotiation dynamics. As AI industrializes, disciplined data economics — grounded in architectural clarity and life-cycle oversight — will become a defining competitive capability.</P><P>“AI is forcing structural renegotiation of data durability, value attribution, architectural control, and risk allocation across the AI life cycle.” — Lynne Schneider, research director, Data Collaboration and Monetization, IDC</P> IDC Perspective Thu, 19 Mar 2026 04:00:00 GMT Lynne Schneider HCLTech ERS Repositions with AI-Powered Chip-to-Cloud Engineering and a Focus on Business Outcomes https://my.idc.com/getdoc.jsp?containerId=US54237926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Note discusses how HCLTech ERS is evolving its engineering services through a chip-to-cloud strategy, integrating semiconductors, platform, software, and life-cycle capabilities. The company is focusing on business outcome-led engagements, advanced AI, custom chip design, and outcome-based pricing to drive innovation and margin growth. This transformation positions HCLTech as a full-stack partner for enterprises seeking end-to-end digital engineering solutions, though challenges remain in talent acquisition, operational complexity, and market adoption. </P><P>"As HCLTech ERS reimagines engineering from chip to cloud, the unified strategy can truly deliver business outcomes and reshape the future of enterprise innovation if the service provider acts." — Abhishek Mukherjee, research manager, Digital Engineering and Operational Technology Services, IDC</P> Market Note Fri, 13 Mar 2026 04:00:00 GMT Abhishek Mukherjee, Mukesh Dialani IDC Survey Spotlight: What Is the Role of Legal in Pricing Model Selection for AI-Powered Services? https://my.idc.com/getdoc.jsp?containerId=US53929226&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey Spotlight examines data from IDC Syndicated Survey 2025: <I>AI-Powered Services Pricing Model Survey,</I> conducted in November 2025. Respondents were asked about the role their legal organization plays in selecting the pricing model for AI-powered services from external providers. The North America sample size of 503 respondents included participants from the United States and Canada, from a variety of industries and organization sizes ranging from 500 employees to 10,000+ employees.</P> IDC Survey Spotlight Thu, 05 Mar 2026 05:00:00 GMT Jennifer Hamel IDC Survey: The State of AI's Impact on Services Pricing Models — AI-Powered Services Pricing Model Survey, 2025 https://my.idc.com/getdoc.jsp?containerId=US53929126&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey presentation leverages data from IDC's <I>AI-Powered Services Pricing Model Survey</I>, conducted in November 2025. The survey examined buyer expectations for the pricing of engagements with external vendors that incorporate AI in their delivery of the following types of services: Project-based services, managed services, support services, and engineering services. The survey covered a range of topics to provide a greater understanding of:</P><UL><LI>Importance of pricing models in AI-powered services vendor selection</LI><LI>Evolving expectations of premium versus discounted pricing for AI-powered services compared with traditional services</LI><LI>Drivers influencing pricing expectations</LI><LI>Pricing expectations across different types of AI</LI><LI>Preferred pricing models, benefits, and inhibitors related to purchasing AI-powered services</LI></UL><P>This document explores aggregated AI-powered services pricing expectation trends, derived from data across respondents who were using or planning to use AI-powered services in one or more of the aforementioned services areas.</P><P>The North America sample size of 503 respondents included participants from the United States and Canada, from a variety of industries and organization sizes ranging from 500 employees to 10,000+ employees.</P> IDC Survey Thu, 05 Mar 2026 05:00:00 GMT Jennifer Hamel, Peter Marston, Elaina Stergiades, Mukesh Dialani, Bill Latshaw, Erin Hichman, Lars Goransson IDC Survey: Worldwide Technology Buyer and Spending Outlook, January 2026 https://my.idc.com/getdoc.jsp?containerId=US53436326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey presents results from IDC's 2025 <I>Future Enterprise Resiliency </I><I>and</I><I> Spending (FERS) Survey, Wave 10</I>. It provides insights on issues related to IT leaders' AI spending and investment priorities for 2026, the key focus areas for enhancing AI capabilities, and the implications of agentic AI for networking investments/operations. It was conducted in early January 2026.</P><P>As IT leaders entered 2026, they were finalizing spending allocations and refining AI deployment strategies while assessing the readiness of their infrastructure, data, workforce, and governance models to support scaled AI and agent adoption. This study explores how organizations are prioritizing investments across AI platforms, infrastructure, data modernization, networking, and workforce enablement as they move from planning to execution of their 2026 initiatives. It also examines enterprises' plans for AI and agent spending into 2027 and the operational considerations influencing those investment decisions.</P><P>This survey of 879 respondents includes IT leaders across North America, Western Europe, and Asia/Pacific. The study provides regional perspectives and may include industry-specific views for verticals with sufficient sample sizes. It was conducted at a time when enterprises were transitioning from strategy formulation to execution of AI-related initiatives and assessing the longer-term implications of AI and GenAI workloads on enterprise IT environments.</P> IDC Survey Thu, 05 Mar 2026 05:00:00 GMT Rick Villars, Mary Johnston Turner IDC Survey: Risk Factor Trends 2026 for Leasing, Financing, and Flexible Consumption https://my.idc.com/getdoc.jsp?containerId=US53421626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey looks at the trends in economic outlook and tech budget risk factors in 2026 and the impacts on leasing, financing, and flexible consumption models for IT assets. </P><P>Tech budgets and strategies continue to face headwinds from a host of factors. Topping the list are those related to higher prices, supply constraints, and geopolitical factors in general, all of which are threatening the predictability of tech procurement, deployment, and budgets. Leasing, financing, and flexible consumption models for IT assets will see tailwinds from these risks, as tech buyers look for flexible contracts to manage budget risk.</P><P>This IDC Survey presents results from IDC's 2025 <I>Future Enterprise Resiliency </I><I>and</I><I> Spending (FERS)</I><I> Survey</I><I>,</I><I> Wave</I><I>s</I><I> 8 and</I><I> 9</I><I>,</I> which focus on issues related to IT leaders' economic outlook, overall IT and enterprise applications-specific spending priorities for 2026, AI spending priorities for 2026, and agentic AI adoption. It was conducted in November and early December 2025.</P> IDC Survey Wed, 18 Feb 2026 05:00:00 GMT Lara Greden Technology Buyer and Spending Outlook, January 2026: Banners https://my.idc.com/getdoc.jsp?containerId=US53436426&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table presents results from IDC's 2025 <I>Future Enterprise Resiliency </I><I>and </I><I>Spending (FERS) </I><I>Survey, </I><I>Wave 10</I><I>,</I> which focuses on issues related to IT leaders' economic outlook, overall IT and infrastructure-specific spending priorities for 2026, key focus areas for enhancing AI capabilities, the implications of a growing range of digital/AI-specific regulations, and the implications of agentic AI for networking investments/operations.</P><P>It is the last of a series of IT buyer outlook <I>FERS </I><I>S</I><I>urveys </I>across regions, technologies, and industries developed during 2025. This survey interviewed 879 respondents in North America, Western Europe, and Asia/Pacific regions as IT leaders were starting to execute their 2026 plans. In detail:</P><UL><LI><B>Region </B><B>and c</B><B>ountry:</B> Results by region (Worldwide, North America, Western Europe, Asia/Pacific) and for countries with sample sizes over 100 (Canada, China, and United States)</LI><LI><B>Size </B><B>and r</B><B>ole:</B> Results by company size (500+ to 10,000+) and by respondent role (IT, LOB, C-level)</LI><LI><B>Industry:</B> Results by vertical for all verticals with sample sizes of 70+ selected aggregations of related verticals</LI><LI><B>Digital </B><B>b</B><B>usiness:</B> Results by level of shift to digital business and by percentage of 2026 spending allocated to innovation (high, medium, low)</LI></UL> Pivot Table Tue, 03 Feb 2026 05:00:00 GMT Rick Villars