The report highlights 2026 UC&C trends: Hybrid deployments, CPaaS-driven API customization, AI integration via voice data, rising demand for UCaaS+CCaaS bundles, and AI assistants. It stresses flexibility, security, and tailored solutions.
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The Analyst Team
Brent Kelly
Follow AnalystPrincipal Analyst, Digital Workplace
Brent Kelly is a principal analyst for unified communication and collaboration within Omdia’s Digital Workplace team.
Since 1998, Brent has been the principal analyst at KelCor, Inc., where he provided strategy and counsel to CxOs, investment analysts, VCs, technology policy executives, sell-side firms, and technology buyers. He also provided full-time consultancy to Wainhouse Research and Constellation Research. With a PhD in chemical engineering, Brent has a strong data background in numerical methods and applied artificial intelligence with significant experience developing IoT and AI solutions.
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Prachi Nema
Follow AnalystPrincipal Analyst, Unified Communication and Collaboration
Prachi specializes in enterprise communications and collaboration technologies, including video conferencing equipment and services. She brings over 15 years of telecoms industry experience and expertise in fixed and mobile convergence, service provider strategies, and next-generation technologies. Prachi has authored market share and forecast reports and analysis on a range of topics across the enterprise collaboration landscape.
Prachi has worked as a software engineer with various companies, including Idea Cellular, AT&T, and Motorola. She then moved into research and analysis, working as telecoms analyst with several boutique firms, including GSMA, where she researched strategies for increasing youth employment opportunities through mobile technologies and services. She holds an engineering degree in electronics and telecommunications from SGSITS in India and an MBA from the Henley Business School, part of University of Reading. Prachi is fluent in English and Hindi and is based in London.
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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