10月27日，赛意信息（300687.SZ）发布2025年三季度报告。报告期内，公司实现营收15.01亿元，实现 归母净利润2761.47万元。作为广东本土的工业软件企业，赛意信息凭借其在智能制造领域的技术积 累，在工业模型创新、AI应用等多个方面获得显著发展动能。 场景落地的硬实力进一步转化为行业权威认可。在IDC发布的《中国工业大模型及智能体解决方案2025 年厂商评估》中，赛意信息从众多服务商中突围，成功入选"领导者（Leader）类别"。这一权威认可充 分证明了赛意信息在工业大模型与智能体技术领域的前沿领导力，确立了其在工业智能化领域的标杆地 位。 在此基础上，赛意信息正加速业务版图扩张。目前已在光伏领域丝网印刷工艺领域推出了相应的解决方 案，未来还计划在装备等领域投入预研，不断拓展业务版图。随着制造业客户在大模型生成式AI能力 应用方面的需求不断攀升，企业级市场在AI方面的付费意愿正逐步提升，未来公司在AI应用方面的收 入有望持续增加。 赛意信息凭借二十年制造业深耕积淀，以自主创新的AI技术体系为核心，从最初的ERP实施服务公司正 逐步转型为工业软件践行者和企业数智化赋能者，形成了覆盖企业数字化全生 ...

Group 1 - IDC released a report evaluating vendors in the industrial large model and intelligent agent solutions market, with Saiyi Information being recognized as a "Leader" for its strong capabilities and strategic positioning [1] - The evaluation criteria included five core standards: rich product system, solid implementation experience, comprehensive supporting services, deep foundational accumulation, and complete ecological capabilities [1] - The IDC MarketScape model provides a framework for comparing ICT vendors' products, services, capabilities, and strategies, offering a 360-degree assessment for technology buyers [1] Group 2 - Saiyi Information has established a comprehensive AI layout based on two decades of experience in the manufacturing industry, focusing on a dual-track strategy that combines vertical AI with industrial mechanisms and horizontal AI for cross-system collaboration [2] - The company has successfully implemented AI solutions in various industrial scenarios, demonstrating its leadership through projects like PCB engineering data analysis machines and the Saiyi AI Agent solution [2] - Since 2019, Saiyi Information has positioned itself as an "enterprise digital empowerment provider" and "industrial software practitioner," achieving recognition as a national-level "dual-cross" platform and winning awards in AI and industrial innovation competitions [2] Group 3 - As a leader in the industry, Saiyi Information aims to embrace AI large model technology to redefine industrial data manufacturing and accelerate the intelligent development of the manufacturing sector [3]