rsscloudcomputing https://my.idc.com/rss/2803.do IDC RSS alerts Healthcare and Life Sciences Banner Book https://my.idc.com/getdoc.jsp?containerId=US54323526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table banner book includes data for the healthcare (payers and providers) and life sciences (pharma, biotech, and medical devices) industries from IDC's 2026 Industry AI and Cloud Path (IAICP) program.</P><P>IAICP provides insights into the adoption, utilization, decisioning, value creation, and strategic planning surrounding AI (including agentic AI and generative AI) and cloud, by industry, for 25+ different industries, including financial services (banking, insurance, and capital markets), energy (oil and gas and utilities), government (national/federal/civilian, state/provincial/local, and national security/military/defense), education (K–12 — U.S. only, higher education), healthcare (payers and providers — U.S. only), life sciences (pharma, biotech, and medical devices), manufacturing (discrete and process), transportation, retail, hospitality and foodservice (including commercial travel), and media and entertainment.</P><P>Covered topics include:</P><UL><LI><B>Generative AI:</B> The use, impact, and value creation of AI within each industry, including over 200+ industry use cases</LI><LI><B>Cloud:</B> Each industry's journey to the cloud, adoption levels, migration strategies, drivers and inhibitors, budgeting trends, purchasing preferences, buying channels, vendor ratings and advocacy scores, behavioral trends, and cloud adoption and buying intentions for 300+ industry-specific applications and workloads</LI></UL><P>IDC's 2026 Industry AI and Cloud Path program also includes in-depth customer satisfaction ratings on 6 major cloud service providers' delivery of these technologies across 18 metrics by industry.</P> Pivot Table Mon, 21 Sep 2026 04:00:00 GMT Nadia Ballard, Frank Della Rosa, Nimita Limaye, Eric Newmark, Mickey North Rizza, Silvia Piai IDC Market Glance: Virtual Client Computing, 3Q26 https://my.idc.com/getdoc.jsp?containerId=US54297326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Glance describes the worldwide virtual client computing market segment, including subsegments. It also identifies vendors that are globally active in each segment.</P> IDC Market Glance Mon, 21 Sep 2026 04:00:00 GMT Filippo Vanara IDC MarketScape: Worldwide Construction Management Software 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54135526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC MarketScape report analyzes vendors in the construction management software segment.</P><P>“The AEC industry is accelerating toward digital, virtually overnight in some cases from paper and analog. They realize that the age-old challenges in the construction industry of cost and time overruns, quality and safety issues, as well as true integrated project delivery (IPD) and collaboration can be alleviated through much of the construction management software available today,” said Jeffrey Hojlo, research vice president, IDC’s Industrial Ecosystems, Engineering, & Product Innovation Strategies.</P> IDC MarketScape Mon, 21 Sep 2026 04:00:00 GMT Jeffrey Hojlo Industry AI and Cloud Path 2026 Worldwide Banner Book https://my.idc.com/getdoc.jsp?containerId=US54324526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table banner book includes data for IDC's 2026 Industry AI and Cloud Path (IAICP) program, which provides insights into the adoption, utilization, decisioning, value creation, and strategic planning surrounding AI (including agentic AI and generative AI) and cloud, by industry, for 25+ different industries, including financial services (banking, insurance, and capital markets); energy (oil and gas and utilities); government (national/federal/civilian, state/provincial/local, and national security/military/defense); education (K–12 — U.S. only and higher education); healthcare (payers and providers — U.S. only); life sciences (pharma, biotech, and medical devices); manufacturing (discrete and process); transportation, retail, hospitality, and foodservice (including commercial travel); and media and entertainment.</P><P>Covered topics include:</P><UL><LI><B>Generative AI</B>: The use, impact, and value creation of AI within each industry, including over 200 industry use cases</LI><LI><B>Cloud</B>: Each industry's journey to the cloud, adoption levels, migration strategies, drivers and inhibitors, budgeting trends, purchasing preferences, buying channels, vendor ratings and advocacy scores, behavioral trends, and cloud adoption and buying intentions for 300+ industry-specific applications and workloads</LI></UL><P>IDC's 2026 Industry AI and Cloud Path program also includes in-depth customer satisfaction ratings on six major cloud service providers' delivery of these technologies across 18 metrics by industry.</P> Pivot Table Mon, 21 Sep 2026 04:00:00 GMT Nadia Ballard, Frank Della Rosa, Eric Newmark, Mickey North Rizza Industry AI and Cloud Path 2026: Government — Defense and Intelligence Banner Book https://my.idc.com/getdoc.jsp?containerId=US54323326&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table banner book includes data for the government (defense and intelligence) sector from IDC's 2026 Industry AI and Cloud Path (IAICP) program. </P><P>IAICP provides insights into the adoption, utilization, decisioning, value creation, and strategic planning surrounding AI (including agentic AI and generative AI) and cloud, by industry, for 25+ different industries, including financial services (banking, insurance, and capital markets), energy (oil and gas, and utilities), government (national/federal/civilian, state/provincial/local, national security/military/defense), education (K–12 — United States only, higher education), healthcare (payers and providers — United States only), life sciences (pharma, biotech, medical devices), manufacturing (discrete and process), transportation, retail, hospitality and foodservice (including commercial travel), and media and entertainment.</P><P>Covered topics include:</P><UL><LI><B>Generative AI</B><B>:</B> The use, impact, and value creation of AI within each industry, including over 200 industry use cases</LI><LI><B>Cloud</B><B>:</B> Each industry's journey to the cloud, adoption levels, migration strategies, drivers and inhibitors, budgeting trends, purchasing preferences, buying channels, vendor ratings and advocacy scores, behavioral trends, and cloud adoption and buying intentions for 300+ industry-specific applications and workloads</LI></UL><P>Industry AI and Cloud Path 2026 also includes in-depth customer satisfaction ratings on six major cloud service providers' delivery of these technologies, across 18 metrics, by industry.</P> Pivot Table Mon, 21 Sep 2026 04:00:00 GMT Nadia Ballard, Frank Della Rosa, Eric Newmark, Mickey North Rizza, Alan Webber Industry AI and Cloud Path: Education Banner Book https://my.idc.com/getdoc.jsp?containerId=US54323126&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table banner book includes data for the education industry (K–12 — U.S. only and higher education) from IDC's 2026 Industry AI and Cloud Path (IAICP) program. </P><P>IAICP provides insights into the adoption, utilization, decisioning, value creation, and strategic planning surrounding AI (including agentic AI and generative AI) and cloud, by industry, for 25+ different industries, including financial services (banking, insurance, and capital markets); energy (oil and gas and utilities); government (national/federal/civilian, state/provincial/local, and national security/military/defense); education (K–12 — U.S. only and higher education); healthcare (payers and providers — U.S. only); life sciences (pharma, biotech, and medical devices); manufacturing (discrete and process); transportation, retail, hospitality, and foodservice (including commercial travel); and media and entertainment.</P><P>Covered topics include:</P><UL><LI><B>Generative AI</B><B>:</B> The use, impact, and value creation of AI within each industry, including over 200 industry use cases</LI><LI><B>Cloud</B><B>:</B> Each industry's journey to the cloud, adoption levels, migration strategies, drivers and inhibitors, budgeting trends, purchasing preferences, buying channels, vendor ratings and advocacy scores, behavioral trends, and cloud adoption and buying intentions for 300+ industry-specific applications and workloads</LI></UL><P>IDC's 2026 Industry AI and Cloud Path (IAICP) program also includes in-depth customer satisfaction ratings on six major cloud service providers' delivery of these technologies across 18 metrics by industry.</P> Pivot Table Mon, 21 Sep 2026 04:00:00 GMT Nadia Ballard, Frank Della Rosa, Matthew Leger, Eric Newmark, Mickey North Rizza Industry AI and Cloud Path: Financial Services Banner Book https://my.idc.com/getdoc.jsp?containerId=US54323226&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table banner book includes data for the financial services industry (banking, capital markets, and insurance) from IDC's 2026 Industry AI and Cloud Path (IAICP) program. </P><P>IAICP provides insights into the adoption, utilization, decisioning, value creation, and strategic planning surrounding AI (including agentic AI and generative AI) and cloud, by industry, for 25+ different industries, including financial services (banking, insurance, and capital markets); energy (oil and gas and utilities); government (national/federal/civilian, state/provincial/local, and national security/military/defense); education (K–12 — U.S. only and higher education); healthcare (payers and providers — U.S. only); life sciences (pharma, biotech, and medical devices); manufacturing (discrete and process); transportation, retail, hospitality, and foodservice (including commercial travel); and media and entertainment.</P><P>Covered topics include:</P><UL><LI><B>Generative AI</B>: The use, impact, and value creation of AI within each industry, including over 200 industry use cases</LI><LI><B>Cloud</B>: Each industry's journey to the cloud, adoption levels, migration strategies, drivers and inhibitors, budgeting trends, purchasing preferences, buying channels, vendor ratings and advocacy scores, behavioral trends, and cloud adoption and buying intentions for 300+ industry-specific applications and workloads</LI></UL><P>IDC's 2026 Industry AI and Cloud Path program also includes in-depth customer satisfaction ratings on six major cloud service providers' delivery of these technologies across 18 metrics by industry.</P> Pivot Table Mon, 21 Sep 2026 04:00:00 GMT Nadia Ballard, Frank Della Rosa, Eric Newmark, Mickey North Rizza, Jerry Silva Industry AI and Cloud Path: Manufacturing Banner Book https://my.idc.com/getdoc.jsp?containerId=US54323926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Pivot Table banner book includes data for the manufacturing industry, from IDC's 2026 Industry AI and Cloud Path (IAICP) program. </P><P>IAICP provides insights into the adoption, utilization, decisioning, value creation, and strategic planning surrounding AI (including agentic AI and generative AI) and cloud, by industry, for 25+ different industries, including financial services (banking, insurance, and capital markets); energy (oil and gas and utilities); government (national/federal/civilian, state/provincial/local, and national security/military/defense); education (K–12 — U.S. only and higher education); healthcare (payers and providers — U.S. only); life sciences (pharma, biotech, and medical devices); manufacturing (discrete and process); transportation, retail, hospitality, and foodservice (including commercial travel); and media and entertainment.</P><P>Covered topics include:</P><UL><LI><B>Generative AI:</B> The use, impact, and value creation of AI within each industry, including over 200 industry use cases</LI><LI><B>Cloud:</B> Each industry's journey to the cloud, adoption levels, migration strategies, drivers and inhibitors, budgeting trends, purchasing preferences, buying channels, vendor ratings and advocacy scores, behavioral trends, and cloud adoption and buying intentions for 300+ industry-specific applications and workloads</LI></UL><P>IDC's 2026 Industry AI and Cloud Path program includes in-depth customer satisfaction ratings on six major cloud service providers' delivery of these technologies across 18 metrics by industry.</P> Pivot Table Mon, 21 Sep 2026 04:00:00 GMT Nadia Ballard, Frank Della Rosa, Jeffrey Hojlo, Eric Newmark, Mickey North Rizza, Reid Paquin Worldwide Server Workloads Infrastructure by Operating System Environment Market Overview and Trends, 2026 https://my.idc.com/getdoc.jsp?containerId=US53450026&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Presentation provides an overview of workload spending trends for enterprise servers by operating system environment (OSE) and how these trends will impact future spending growth on OSEs. This overview serves as an update to <I>Worldwide Server Infrastructure Workloads by Operating System Environment Forecast, 2025–2029</I> (IDC #US53804325, November 2025), providing a focused analysis of spending dynamics across workloads based on whether these workloads are running on servers supporting Windows, Linux, or mainframe or other OSEs such as Unix. As Linux continues to widen its lead as the default substrate for AI-driven infrastructure investment, and as Windows and mainframe/other OS settle into narrower, more specialized roles, understanding how these workload-level dynamics differ across operating systems is important for vendor strategy, deal positioning, and infrastructure planning.</P> Market Presentation Mon, 21 Sep 2026 04:00:00 GMT Max Pepper Market Forecast: Worldwide Payroll Applications Forecast, 2026–2030 https://my.idc.com/getdoc.jsp?containerId=US54610526&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC presentation provides the five-year forecast for the payroll applications market and delivers insights into the drivers and inhibitors of growth.</P><P>"Payroll management is transitioning to real-time management and compliance automation models as it shifts from a back-end task to a data-driven and AI-enabled outcome. On-demand payroll is allowing employees to access their earned income on demand, decoupling payouts from traditional, employer-led pay cycles. At the same time, automated and AI-verified compliance and rules checks are giving way to instant error remediation, reducing financial risks for employers and employees." — Zachary Chertok, senior research manager, Employee Experience</P> Market Forecast Sat, 19 Sep 2026 04:00:00 GMT Zachary Chertok