香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性 或完整性亦不發表任何聲明，並明確表示概不就因本公告全部或任何部分內容而產生或因倚賴 該等內容而引致的任何損失承擔任何責任。 Beijing 51WORLD Digital Twin Technology Co., Ltd. 長期以來，在智能駕駛行業中，真實採集的路測數據無法直接用於交互式閉環 仿真場景，場景構建高度依賴於人工建模，制約了大規模驗證效率。NVIDIA Omniverse NuRec採用3D高斯潑濺(3DGS)神經渲染技術，將車隊真實路測數據重 建為可交互仿真場景，從根本上解決了這一行業痛點；然而，NVIDIA Omniverse NuRec技術能力的充分釋放，有賴於與成熟仿真平台的深度適配。 北京五一視界數字孿生科技股份有限公司 （於中華人民共和國註冊成立的股份有限公司） （股份代號：06651） 自願性公告－業務發展最新情況 北京五一視界數字孿生科技股份有限公司（「本公司」）董事會（「董事會」）欣然 宣布，本公司旗下的智能駕駛與機器人仿真平台SimOne及數據管理與挖掘平台 Dataverse，已成功完成與NV ...

Core Insights - The rise of AI agents is transforming AI from a tool to an assistant and even an agent, with 2025 being termed the "Year of AI Agents" [1] - The AI agent marketplace is emerging as a platform for developers to publish, distribute, integrate, and trade AI agents, allowing businesses to select and deploy agents for complex automation tasks [1][2] - Major companies like Salesforce, Moveworks, and Siemens are launching their own AI agent marketplaces, each targeting different segments of the enterprise market [3][5][6] Group 1: AI Agent Marketplace Development - Salesforce launched AgentExchange in March 2025, providing a channel for users to explore, trial, and purchase AI agents, thus accelerating the adoption of AI applications [3] - AgentExchange differs from Salesforce's existing AppExchange by offering "skills" and "capabilities" modules specifically for AI agents, aiming to create a marketplace for digital labor [4] - Moveworks introduced its AI agent marketplace in April 2025, featuring over 100 pre-built agents for various enterprise applications, simplifying the integration of AI into existing systems [5] Group 2: Industry-Specific AI Agents - Siemens announced its Industrial AI agents at the Automate2025 conference, promising up to a 50% increase in production efficiency through autonomous AI systems that can coordinate various AI agents [6] - Siemens aims to create an industrial AI agent marketplace within its Xcelerator Marketplace, allowing access to both Siemens' and third-party AI agents [6][7] Group 3: Business Models of AI Agent Marketplaces - The AI agent industry can be segmented into four layers: large language models, intermediary agent frameworks, AI agent construction/deployment platforms, and enterprise/consumer application layers [8] - Various business models are emerging, including Agent-as-a-Service, which offers specific AI agents through subscription or usage-based pricing [10] - Additional models include value-added services through agent plugins, platform operation models with revenue sharing, and custom agent development for large enterprises [12][13][14] Group 4: Future Competition and Ecosystem - The future competition in the AI agent market will focus on the quality of agents, plugins, and integration capabilities, as well as the ability to foster a thriving developer and user ecosystem [15]