Frost Radar：數位資產管理（DAM）平台，2025年

Frost Radar: Digital Asset Management Platforms, 2025

出版日期: 2025年06月06日 | 出版商:

Frost & Sullivan | 英文 29 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

基準化分析系統激勵主要企業－創新推動新的交易流程和成長管道

各組織正淹沒在海量的富媒體之中：4K 影片、生成式 AI 影像、3D 模型、AR/VR 物件以及不斷成長的品牌資產庫。缺乏現代化的內容支撐，行銷和產品團隊會花費大量時間搜尋、重新建立和重新格式化文件。同時，客戶需要即時、高度個人化的體驗。其代價體現在宣傳活動進展緩慢、品牌一致性喪失以及錯失商機。正因如此，擴充性的智慧數位資產管理 (DAM) 平台對於將數位資產從成本中心轉變為成長引擎至關重要。

Frost Radar™ 的 DAM 平台專注於最有能力解決行業最緊迫問題的供應商：將海量數位內容轉化為由 AI 驅動、可管控且深度整合的成長引擎。對 DAM 堆疊進行現代化改造的公司可以更快地發布宣傳活動，提供更豐富的體驗，並維護品牌信任。

Frost & Sullivan 會分析同一產業內的多家公司。根據領導力或其他卓越表現，篩選出需要進一步分析的公司，並根據 10 項成長和創新標準進行基準測試，以揭示其在 Frost Radar™ 上的排名。 Frost Radar™ 上每家公司的競爭概況都會呈現，探討其優勢以及最適合這些優勢的機會。

Organizations are drowning in a sea of rich media-4K video, generative artificial intelligence images, 3D models, augmented reality/virtual reality objects, and ever-growing libraries of brand assets. Without a modern content backbone, marketing and product teams spend a lot of time simply searching for, recreating, or reformatting files, while customers demand hyper-personalized experiences in real time. The cost is measured in slower campaign velocity, fractured brand consistency, and missed revenue. A scalable, intelligent digital asset management (DAM) platform has, therefore, become mission-critical, transforming digital assets from cost centers into growth engines.

The Frost Radar™ for DAM platforms zeroes in on the vendors best positioned to solve the industry's most urgent challenge: turning an unwieldy flood of digital content into an AI-powered, governed, and highly integrated growth engine. Readers should care because the commercial stakes are rising fast: enterprises that modernize their DAM stack will launch campaigns quicker, deliver richer experiences, and safeguard brand trust, while those that hesitate will fall behind on revenue and compliance in an AI-accelerated market.

Five forces are reshaping the market.

Generative and descriptive AI everywhere: Automated tagging, vector search, and on-the-fly content generation are moving from pilots to production, slashing manual effort while raising questions of AI governance, copyright, and provenance.
Composable, API-first architectures: Buyers insist on MACH-aligned solutions that slot into product information management, content management system, and customer data platform stacks without vendor lock-in. Providers that cannot expose every function are rapidly losing ground.
Content authenticity and security: Deepfake anxiety, the European Union AI Act, and the Coalition for Content Provenance and Authenticity (C2PA) standards are forcing vendors to embed rights management, watermarking, and chain-of-custody metadata as core.
Omnichannel velocity: Real-time localization, shoppable video, and headless commerce demand instant asset transformation and edge delivery, turning DAM from a library into a live content engine.
Sustainability and cost control: Cloud footprints and GPU-hungry AI models face CEO-level scrutiny. Efficient storage tiers, edge caching, and greener data centers are quickly becoming differentiators.

Frost & Sullivan analyzes numerous companies in an industry. Those selected for further analysis based on their leadership or other distinctions are benchmarked across 10 Growth and Innovation criteria to reveal their position on the Frost Radar™. The publication presents competitive profiles of each company on the Frost Radar™ considering their strengths and the opportunities that best fit those strengths.