[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio8ea1ee72":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":77},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio8ea1ee72","高盛称，人工智能（AI）的下一阶段——“AI智能体”，其市场规模将激增超过20%。","\u002Fdoc\u002Fdcio8ea1ee72","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>高盛发表研报表示，生成式人工智能(AI)的下一阶段——“智能体AI”(Agentic AI)将彻底改变企业软件生态。未来三年，智能体将在应用层释放生产力红利，到2030年全球软件市场规模预计至少扩大20%，其中客户服务软件市场增速或达45%，整个软件行业中智能体将占据超60%的份额。\u003C\u002Fp>\n\u003Cp>智能体AI成企业生产力下一增长极\u003C\u002Fp>\n\u003Cp>高盛指出，企业AI驱动生产力提升的下一阶段(也可说是第一阶段)，将聚焦智能体在软件应用层的效能释放，未来三年或成关键窗口。过去六个月的行业调研显示，尽管大多数案例仍属于集成基础大语言模型(LLM)的聊天机器人，但部分更先进的AI已支持更具价值的用例。目前这些案例多为概念验证或软件厂商内部训练，但技术正持续改进，生态体系也在积极解决采用障碍(如缺乏稳定的AI平台层、系统记录连接性、小语言模型\u002F领域训练不足、企业数据策略缺失)。\u003C\u002Fp>\n\u003Cp>高盛预计，2030年软件市场规模至少扩大20%。该行指出，通过与行业专家(包括定价专家)的讨论，基于价值和成本的定价方法分析，客户服务软件市场(传统SaaS与AI代理结合)规模将比未受影响的2030年基准增长20%-45%。不过，高盛认为，该领域的扩张潜力实际是软件行业的“下限”，因其本质是成本中心(交互次数固定)。在直接关联收入生成(销售、营销)、创新速度(开发者工具)或特殊机遇(如安全运营中心)的领域，市场扩张潜力更大。美股大数据 StockWe.com\u003C\u002Fp>\n\u003Cp>SaaS企业卡位智能体新生态转型非线性且存竞争挑战\u003C\u002Fp>\n\u003Cp>高盛认为，SaaS公司在新的智能体市场规模中有望占据较大份额，但其创新节奏至关重要，且转型可能并非线性。预计到2030年，智能体将占软件市场总规模(SaaS+代理)的60%以上，并可能成为知识工作者的新用户界面。虽然SaaS公司不会被完全替代——多数行业专家强调，基于逻辑的SaaS工作流将与概率型智能体工作流共存，但面临两大风险，包括基于AI原生技术栈的新竞争者;以及传统基于席位\u002F用户的定价模式在向基于价值\u002F代理的定价模式过渡前可能出现压缩(类比Adobe(ADBE.US)2012-2014年订阅转型期)。\u003C\u002Fp>\n\u003Cp>高盛指出，目前已有迹象显示SaaS行业龙头正在提升执行力(如赛富时(CRM.US)调整Agentforce定价策略、微软(MSFT.US)构建跨生态连接能力、ServiceNow(NOW.US)计划收购MoveWorks\u002FCloud)，这都表明战略市场认知清晰。但该行仍预计2030年软件行业领导者榜单将出现若干持久的新竞争者。\u003C\u002Fp>\n\u003Cp>此外，生成式AI应用的技术架构需要不同于传统云\u002FSaaS应用的全新技术栈，这将引发现有架构的重大变革。但高盛强调，传统架构并非“累赘”，AI平台层的崛起及其关键中间件的完善，将成为AI原生应用发展的重要催化剂。微软在近期BUILD开发者大会上已率先构建了面向智能代理应用的开发支持体系。虽然数据对智能AI的重要性已成共识，但AI中间件标准仍在演进中。\u003C\u002Fp>\n\u003Cp>高盛指出，SaaS企业不能固守数据优势。A2A、MCP等协议为智能代理的跨系统通信、数据访问和流程执行制定了规范，这虽是正确方向，但未来仍需建立更多标准。只有当中间件标准达成共识、平台层趋于稳固，应用开发风险才会降低，企业级杀手应用才会涌现(微软Copilot这类横向应用除外)。若SaaS企业能积极适配新兴AI标准并调整架构，将顺利融入生成式AI的企业应用生态。\u003C\u002Fp>\n\u003Cp>对投资者而言，尽管当前SaaS巨头转型受限于生成式AI技术成熟度;2021-2022年高溢价客户续约;以及按席位转向按用量计费模式等因素，营收增速尚未显著提升，但高盛预计，这些因素将在2027年后转化为持续增长动能。对此，高盛建议投资者关注以下标的，包括微软、谷歌(GOOGL.US)、赛富时、ServiceNow、HubSpot(HUBS.US)、Adobe和财捷(INTU.US)，以及私有企业Aisara、Decagon、Intercom、Sierra和Writer。\u003C\u002Fp>","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202506-stk\u002FUploaderbw12bzmvayv_2025_06_18_11_09_23.jpg","2025-06-18T18:06:02.643","2025.06.18","2025\u002F06\u002F18",30724,[22],"AI","Article",0,"免费","success",{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":28,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},[22],"\u002Fcol\u002Fstocknews",{"visible":5,"marketingHtml":31,"services":32,"recentDocuments":41},"\u003Cfigure 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buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 StockWe.com 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理千万级股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，精准买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":78,"search":79,"searchPlaceholder":79,"hotContent":80,"draft":81,"noData":82,"searchNoData":83,"edit":84,"editVideo":85,"courseContent":86,"more":87,"buyNow":88,"subscribeNow":89,"encoding":90,"paidContent":91},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","编辑","编辑视频","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]