【摘要】 在坚守与探索中，《竞争情报》杂志于2015年完成了从内刊向正式公开出版刊物的转型。转眼又一个十年过去。回顾2015—2025年，以科技情报、竞争情报和商业情报为代表的情报领域，在技术体系、实践范式与治理机制等方面经历了深刻而系统的变革。生成式人工智能（GenAI）与开源情报（OSINT）逐渐成为关键驱动力，推动情报工作从信息获取、分析研判到产品输出的全流程重构。展望下一个十年（2026—2035年），情报领域无疑将迎来更为深层的演进。如何打破制约情报价值释放的体制、技术与认知壁垒，实现真正意义上的“破界”，如何构建开放、协同、可持续的情报生态，实现多元主体之间的“共生”，将成为摆在情报界面前的核心议题。在这一进程中，AI大模型如何突破“幻觉”瓶颈以实现高可信度与精准推理？情报如何更有效支撑地缘博弈与重大商业决策？情报方法与技术将出现哪些新的突破性进展？在数据跨境流动受限与合规要求日益严格的背景下，竞争情报如何平衡效率与安全？商业情报又如何从“被动响应”走向“主动预测”？情报学教育体系应当如何调整，以培养适应新形势的复合型专业人才？围绕上述问题，本刊特邀多位长期深耕情报研究与实践一线的专家学者，从不同视角对未来十年竞争情报领域的发展趋势进行前瞻性展望，以期为学界与业界提供有价值的思考与参考。更多还原

【Abstract】 Through a decade of perseverance and exploration, Competitive Intelligence completed its transition in 2015 from an internal publication to a formally published journal. Another ten years have since passed. Looking back at the period from 2015 to 2025, the intelligence community—represented by scientific and technological intelligence, competitive intelligence, and business intelligence—has undergone profound and systematic transformations in terms of technological foundations, practical paradigms, and governance mechanisms. Generative artificial intelligence(Gen AI) and open-source intelligence(OSINT) have gradually emerged as key driving forces, reshaping the entire intelligence workflow, from information acquisition and analytical assessment to product generation and dissemination. Looking ahead to the next decade(2026–2035), the intelligence field is poised to experience even deeper transformations. How to break through institutional, technological, and cognitive barriers that constrain the realization of intelligence value—achieve true “boundary breaking”—and how to build an open, collaborative, and sustainable intelligence ecosystem that enables “co-evolution” among diverse actors will become core issues confronting the intelligence community. In this process, how can large AI models overcome the challenge of “hallucinations” to achieve high credibility and precise reasoning? How can intelligence more effectively support geopolitical competition and major business decision-making? What new breakthroughs may emerge in intelligence methodologies and technologies? Under increasingly stringent constraints on cross-border data flows and compliance requirements, how can competitive intelligence balance efficiency and security? How can business intelligence shift from a mode of passive response to one of proactive prediction? And how should intelligence education systems be adjusted to cultivate interdisciplinary professionals suited to the evolving landscape? In response to these questions, this journal has invited a number of experts who have long been deeply engaged in both intelligence research and practice to offer perspectives on the development trends of the competitive intelligence field over the next decade, with the aim of providing valuable insights and references for both academia and industry.更多还原