Frost Radar：大規模語言模型與多模態生成式人工智慧平台的基礎架構，2025 年

Frost Radar: Foundational LLMs and Multimodal GenAI Platforms, 2025

出版日期: 2025年10月08日 | 出版商:

Frost & Sullivan | 英文 19 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

基準化分析體系：創新驅動新交易與成長通路的拓展

生成式人工智慧領域面臨著一項根本性的挑戰：如何在史無前例的變革中，將底層模式的突破性力量轉化為現實世界的價值。大型語言模式（LLM）和多模態人工智慧工具的爆炸性成長，可望徹底改變從企業生產力到創造性工作的方方面面，但各組織機構在可靠性、擴充性和投資回報率（ROI）方面仍面臨諸多挑戰。策略挑戰顯而易見：必須以廣泛可用、可靠且安全的方式利用這些技術，否則將面臨在下一代數位創新中落後的風險。

強大的力量正在顛覆產業格局，重塑主導和方法。創新的速度令人驚嘆。就在幾年前，1750億參數的模型還被視為最先進的技術；而如今，規模更大、效率更高的模型層出不窮，最先進的標準也從單純的規模轉向了質量。至關重要的是，開源與封閉式開發之間的競爭正在重新定義產業動態。雖然專有大型語言模型（LLM）仍在不斷突破性能極限，但開放原始碼模型正在迅速縮小差距。這種開放模型的趨勢透過吸引全球開發團體參與，加速了創新進程，甚至使新創公司也能以遠低於傳統成本的價格建立Start-Ups的LLM。結果是，混合策略正迅速成為主流，市場也隨之快速發展。

要展現領導地位，生成式人工智慧平台必須在多個領域表現卓越。僅僅擁有「最聰明」的模型是不夠的。首先，技術優勢仍然是基石。頂級平台提供先進的人工智慧功能（推理、創造力、多語言、多模態理解），並具備標竿級的效能。同樣重要的是企業級特性：強大的安全性和合規性功能、對資料和模型輸出的精細控制，以及在混合雲端或本地環境中部署以保護隱私的能力。適應性也是一項關鍵特性。領導企業提供用於使用自身資料微調模型的工具、用於整合到任何軟體的API，以及針對常見用例的預先建置解決方案庫。真正市場領先的平台還會培育一個充滿活力的生態系統，透過豐富的文件、社群支援和插件/擴展框架來吸引開發者、整合商和第三方應用程式。

弗若斯特沙利文公司根據一系列特定要求，遴選出此次弗若斯特雷達™分析報告中的12家公司。這些要求包括：開發並交付具有影響力的基礎模型；透過商業部署或參與開放原始碼社群展現顯著的市場吸引力；明確致力於推動多模態能力；以及對更廣泛的企業和消費者人工智慧生態系統產生切實的影響。這些公司之所以能在眾多競爭者中脫穎而出，是因為它們在前沿人工智慧研究方面投入巨資，平台具備服務數百萬用戶的擴充性，並且在支援下一代人工智慧驅動型應用方面具有重要的戰略意義。

弗若斯特沙利文公司對產業內的眾多公司進行分析。根據領導力及其他特徵篩選出的公司將接受進一步分析，並根據10項成長和創新標準進行基準測試，以確定其在弗若斯特雷達™上的位置。該報告會考慮每家公司的優勢以及與這些優勢最契合的機遇，從而在弗若斯特雷達™上呈現其競爭格局。

The generative AI sector faces a defining challenge: how to translate the breakthrough power of foundation models into real-world value amid unprecedented disruption. An explosion of large language models (LLMs) and multimodal AI tools promises to transform everything from enterprise productivity to creative work, yet organizations grapple with trust, scale, and ROI. The strategic imperative is clear: harness these technologies in a way that is broadly accessible, reliable, and secure, or risk falling behind in the next era of digital innovation.

Powerful forces are disrupting this landscape, reshaping who leads and how. The pace of innovation is staggering. Only a few years ago, a 175-billion-parameter model was cutting-edge; today, even larger or more efficient models are emerging, and the frontier is shifting to quality over sheer size. Crucially, an open vs. closed development battle is redefining industry dynamics. Proprietary LLMs still push performance boundaries, but open-source models have rapidly narrowed the performance. This open-model wave is accelerating innovation trajectories by engaging a global developer community, even enabling start-ups to build competitive LLMs at a fraction of the usual cost. The result is a fast-evolving market where hybrid strategies prevail.

To demonstrate leadership, a generative AI platform must excel on multiple fronts. It's not just about having the "cleverest" model. First, technical superiority remains foundational: top platforms deliver advanced AI capabilities (reasoning, creativity, multilingual fluency, and multimodal understanding) with benchmark-setting performance. Equally important are enterprise-grade attributes: robust security and compliance features, granular control over data and model outputs, and the ability to deploy in hybrid cloud or on-prem environments for privacy. Adaptability is another hallmark. Leaders offer tools for fine-tuning models on proprietary data, APIs for integrating into any software, and libraries of pre-built solutions for common use cases. A true market-leading platform also cultivates a thriving ecosystem, attracting developers, integrators, and third-party applications via strong documentation, community support, and plugin/extension frameworks.

Frost & Sullivan selected the 12 companies profiled in this Frost Radar™ analysis based on their ability to meet a set of specific criteria, including the development and delivery of influential foundational models, demonstration of significant market traction through either commercial adoption or open-source community engagement, a clear commitment to advancing multimodal capabilities, and a tangible impact on the broader enterprise and consumer AI ecosystem. These companies stand out from the larger group because of their investment in frontier AI research, their ability to scale their platforms to serve millions of users, and their strategic importance in powering the next generation of AI-driven applications.

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.