大连百傲化学股份有限公司2021年第三季度报告

中泰化学：2021年第三季度报告

日科化学：2021年第三季度报告

天津渤海化学股份有限公司2021年第三季度报告

利尔化学：2021年第三季度报告

广东聚石化学股份有限公司2021年第三季度报告

七彩化学：2021年第三季度报告

艾媒咨询|2020中国高考志愿填报行业用户需求及就业前景大数据分析

数据显示，2020年中国考生规模达到1071万人，较2019年增长40万人，人数规模创历史新高。考生竞争压力大，高考志愿填报难度高。iiMedia Research(艾媒咨询)调查数据显示，超四成中国高考关注者将专业选择作为填报时的首要考量因素。艾媒咨询分析师认为，随着信息技术和交通设施的不断进步，异地工作、异地实习等都成为可能，因此专业本身的选择对学生未来的职业发展影响最大。

　　In 2020, the number of Chinese college entrance examination candidates reached 10.71 million, and the difficulty of applying for college entrance examinations has further increased. According to the survey data of iiMedia Research, over 40% interviewees regard professional choice as the primary consideration. iiMedia Research believes that with the continuous improvement of information technology and transportation facilities, off-site work and off-site internship are all possible, so the choice of major itself has the greatest impact on the future career development of students.

艾媒咨询|2020年全球留学市场变化与中国留学生选择意愿行为分析报告

随着留学群体的不断增加，教学实力是意向留学人群选择留学国家的首要考虑因素。但是随着近些年来留学生在国外遇害事件频发，安全问题也成为留学生重点考虑的因素。疫情期间，留学生群体面临较大问题，iiMedia Research（艾媒咨询）数据显示，40%的留学生认为疫情会导致毕业延期、增加留学成本；而有32.9%的人表示需要自己解决住宿问题。

With the increasing number of students studying abroad, teaching strength is the primary consideration for those who intend to study abroad to choose a country to study abroad. However, with the frequent occurrence of international students being killed abroad in recent years, safety issues have also become a key consideration for international students. During the epidemic, the group of international students faced major problems. According to iiMedia Research data, 40% of international students believed that the epidemic would delay graduation and increase the cost of studying abroad; while 32.9% said they needed to solve the accommodation problem by themselves.

艾媒咨询 | 2025年中国智能学习机行业发展状况和消费行为调查数据

随着技术的不断发展，智能学习机产品技术日益成熟，广泛应用于多个教育学习场景，其广阔的应用前景将推动中国智能学习机行业规模快速增长。根据全球领先的新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2025年中国智能学习机行业发展状况和消费行为调查数据》显示，2024年中国教育智能硬件市场规模达962亿元，预计2025年达到1125亿元；2024年中国智能学习机市场规模达270.72亿元，预计2027年中国智能学习机市场规模将达到514.41亿元。随着家长和学生对于教育质量要求的提高，传统的“一刀切”教学模式已无法满足其需求。智能学习机通过AI技术，能够根据学生的学习进度和能力提供定制化的学习方案，满足个性化学习需求。
在消费者购买智能学习机产品的种类中，排名前三的分别是智能学习笔（58.33%）、儿童手表（49.43%）、电子词典笔（39.94%）。此外，在购买学习机时，学习资源（66.92%）成为首要关注因素，使用体验（52.31%）与售后服务（48.46%）次之。这表明，智能学习机产品的竞争核心正从技术功能转向“内容+服务”的综合生态构建。未来，能够整合优质教育资源、提供流畅交互体验并建立完善服务体系的品牌，将在市场竞争中占据主导地位。
艾媒咨询分析师认为，未来中国智能学习机产品将向“内容生态化、服务个性化、交互人性化”深度演进。硬件参数将不再是竞争焦点，行业核心壁垒在于构建覆盖全学科、适配多教材版本的优质内容资源库。AI技术将进一步赋能，实现真正意义上的个性化学习路径规划与实时学情反馈。同时，产品将更注重情感化交互与护眼设计，从学习工具转变为懂孩子的学习伙伴。此外，伴随“双减”政策深化，与校内课堂互补的精准辅导及家庭教育场景解决方案，将成为关键增长点。
With the continuous development of technology, the technology of intelligent learning machine products is becoming increasingly mature and widely used in multiple educational learning scenarios. Its broad application prospects will drive the rapid growth of China's intelligent learning machine industry. According to the latest survey data on the development status and consumer behavior of China's intelligent learning machine industry in 2025 released by iiMedia Research, a leading global third-party data mining and analysis institution for the new economy industry, the market size of China's education intelligent hardware will reach 96.2 billion yuan in 2024, and is expected to reach 112.5 billion yuan by 2025; The market size of intelligent learning machines in China is expected to reach 27.072 billion yuan by 2024, and is projected to reach 51.441 billion yuan by 2027. With the increasing demands of parents and students for educational quality, the traditional "one size fits all" teaching model can no longer meet their needs. Intelligent learning machines can provide customized learning plans based on students' learning progress and abilities through AI technology, meeting personalized learning needs.
Among the types of smart learning machine products purchased by consumers, the top three are smart learning (58.33%), children's watches (49.43%), and electronic dictionary pens (39.94%). In addition, when purchasing a learning device, learning resources (66.92%) become the primary concern, followed by user experience (52.31%) and after-sales service (48.46%). This indicates that the competitive core of intelligent learning machine products is shifting from technical functions to the comprehensive ecological construction of "content+services". In the future, brands that can integrate high-quality educational resources, provide smooth interactive experiences, and establish a comprehensive service system will dominate the market competition.
Analysts from iMedia Consulting believe that in the future, Chinese intelligent learning machine products will deeply evolve towards "content ecology, personalized services, and interactive humanization". Hardware parameters will no longer be the focus of competition, and the core barrier of the industry lies in building a high-quality content resource library that covers all disciplines and is compatible with multiple textbook versions. AI technology will further empower and achieve truly personalized learning path planning and real-time learning feedback. At the same time, the product will focus more on emotional interaction and eye protection design, transforming from a learning tool to a learning partner who understands children. In addition, with the deepening of the "double reduction" policy, precise tutoring and family education scene solutions that complement on campus classrooms will become key growth points.