Frost Radar：数位资产管理（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个工作天内

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简介目录

基准化分析系统激励主要企业－创新推动新的交易流程和成长管道

各组织正淹没在海量的富媒体之中：4K 影片、生成式 AI 影像、3D 模型、AR/VR 物件以及不断成长的品牌资产库。缺乏现代化的内容支撑，行销和产品团队会花费大量时间搜寻、重新建立和重新格式化文件。同时，客户需要即时、高度个人化的体验。其代价体现在宣传活动进展缓慢、品牌一致性丧失以及错失商机。正因如此，扩充性的智慧数位资产管理 (DAM) 平台对于将数位资产从成本中心转变为成长引擎至关重要。

Frost Radar™ 的 DAM 平台专注于最有能力解决行业最紧迫问题的供应商：将海量数位内容转化为由 AI 驱动、可管控且深度整合的成长引擎。对 DAM 堆迭进行现代化改造的公司可以更快地发布宣传活动，提供更丰富的体验，并维护品牌信任。

Frost & Sullivan 会分析同一产业内的多家公司。根据领导力或其他卓越表现，筛选出需要进一步分析的公司，并根据 10 项成长和创新标准进行基准测试，以揭示其在 Frost Radar™ 上的排名。 Frost Radar™ 上每家公司的竞争概况都会呈现，探讨其优势以及最适合这些优势的机会。

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.