IBM Set to Launch Platform for Managing Digital Assets - AI2Work Analysis
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IBM Set to Launch Platform for Managing Digital Assets - AI2Work Analysis

October 28, 20252 min readBy Morgan Tate

IBM’s 2025 Digital‑Asset Management Platform: A Strategic Shift Toward Intelligent Infrastructure { "@context": "https://schema.org", "@type": "Article", "headline": "IBM’s 2025 Digital‑Asset Management Platform: A Strategic Shift Toward Intelligent Infrastructure", "description": "Explore IBM’s 2025 Digital‑Asset Management platform—built on Cloud Pak for Data, AI‑powered metadata, quantum readiness, and compliance APIs. Learn how CIOs can leverage this DAM to secure assets and drive ROI in regulated industries.", "author": { "@type": "Person", "name": "Senior Technology Journalist" }, "publisher": { "@type": "Organization", "name": "Tech Insights Media", "logo": { "@type": "ImageObject", "url": "https://example.com/logo.png" } }, "datePublished": "2025-11-01", "mainEntityOfPage": "https://example.com/ibm-dam-platform-2025" } IBM’s 2025 Digital‑Asset Management Platform: A Strategic Shift Toward Intelligent Infrastructure IBM has pivoted from a pure cloud focus to an enterprise‑grade Digital‑Asset Management (DAM) platform that marries AI, quantum readiness, and compliance APIs. In late October, the company announced that its new DAM will be built on the Cloud Pak for Data stack—leveraging existing governance tools, mainframe security, and a generative‑AI engine powered by GPT‑4o and Claude 3.5. For CIOs, CTOs, and investment analysts, this move is more than a product launch; it signals IBM’s redefinition of its value proposition in 2025. Executive Summary Strategic pivot: From cloud services to an “intelligent infrastructure” model centered on DAM for regulated sectors. Market opportunity: $600 B+ global DAM market, projected 12% CAGR through 2030; IBM could capture ~$30 B ARR with a modest 5% share. Competitive edge: AI‑powered metadata extraction, quantum‑ready architecture, and enterprise‑grade compliance built on Cloud Pak tools. Implementation focus: Rapid go‑to‑market via Red Hat partnerships, security APIs, and generative‑AI integrations. Key recommendation

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