艾媒咨询 | 2025年中国高考志愿填报及就业前景大数据分析报告

近年来，随着中国经济在复苏进程中加速结构调整，国内外产业格局与人才需求发生深刻变革。在数字化转型、绿色低碳发展等国家战略驱动下，高等教育体系正经历新一轮专业重塑。2025年教育部新增的智能分子工程、航空运动、低空技术与工程、数字演艺设计等29个专业，精准对接人工智能科技、航空航天、数字艺术等前沿领域，标志着高校专业设置与市场需求的高度协同。iiMedia Research（艾媒咨询）数据显示，中国高等教育资源主要集中在发达城市，集聚效应明显，传统一线城市高校仍是考生首选，新一线城市报考热度也在不断提升，但学校实力仍然是考生非常关注的因素。中国正处于“工程师红利”释放期，产业融合趋势或已影响新一代人才的知识结构布局。
In recent years, as China's economy has accelerated its structural adjustment during the recovery process, profound changes have taken place in the domestic and international industrial patterns and talent demands. Driven by national strategies such as digital transformation and green and low-carbon development, the higher education system is undergoing a new round of professional reshaping. In 2025, the Ministry of Education added 29 new majors, including Intelligent Molecular Engineering, Aviation Sports, low-altitude technology and engineering, and Digital Performance Design, which precisely align with cutting-edge fields such as artificial intelligence technology, aerospace, and digital art, marking a high degree of synergy between the professional Settings of universities and market demands. iiMedia Research data shows , China's higher education resources are mainly concentrated in developed cities, with a significant agglomeration effect. Traditional first-tier city universities remain the top choice for candidates, and the application enthusiasm in new first-tier cities is also on the rise. China is currently in a period of releasing the "engineer dividend", and the trend of industrial integration may have already influenced the knowledge structure layout of the new generation of talents.

艾媒咨询 | 2025-2026年中国智能平板学习机市场趋势研究报告

随着技术的不断发展，智能平板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。全球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《2025-2026年中国智能平板学习机市场趋势研究报告》数据显示，2024年中国智能平板学习机市场规模达270.72亿元，同比增长48.27%，预计2027年中国智能平板学习机市场规模将超500亿元。艾媒咨询分析师认为，中国教育智能产品正在为传统的教育方式带来更多的可能性和创新性，人工智能等新兴技术与教育的深度融合，是今后智能学习机领域高质量发展的重要一步。
With the continuous development of technology, intelligent tablet learning machine product technology is increasingly mature, widely used in a number of education and learning scenarios, its broad application prospects will promote the rapid growth of China's intelligent learning machine industry. According to the latest "China's smart tablet learning machine market trend Research Report from 2025 to 2026" released by iiMedia Research, a third-party data mining and analysis institution in the global new economy industry, the market size of China's smart tablet learning machine in 2024 will reach 27.072 billion yuan, an increase of 48.27%. It is expected that the market size of China's smart tablet learning machine will exceed 50 billion yuan in 2027. Analysts from iMedia Consulting believe that China's educational intelligent products are bringing more possibilities and innovation to traditional educational methods, and the deep integration of emerging technologies such as artificial intelligence and education is an important step for the high-quality development of the intelligent learning machine field in the future.

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.

艾媒咨询 | 2025年中国高精定位市场消费行为调查数据

随着高精定位技术的迭代优化，其应用范围也不断扩大，广泛应用于以车辆导航、自动驾驶为例的智慧出行领域，以基础设施监测为例的公共服务领域，以及电网、港口智能监测等产业升级领域。根据全球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年中国高精定位市场消费行为调查数据》数据显示，道路导航（包括骑行、步行等方式）以48.84%的占比位居首位，凸显了消费者对导航功能的高度依赖，进一步印证了高精定位技术在日常生活场景中的广泛应用。与此同时，“有助于高危行业（如矿业）更便利作业”以51.22%的占比成为消费者最认可的应用方向，表明高精定位技术在高危行业中的潜力备受期待，其提升作业效率和保障安全的特性得到了广泛认可。此外，技术进步与成本降低以50.39%的占比成为影响高精定位技术普及的最主要因素，反映了技术迭代和成本优化在推动市场发展中的关键作用，也为行业未来的创新方向提供了重要启示。艾媒咨询分析师认为，在全球经济迈向高质量发展的新背景下，公共基础设施的运行、行业的解决方案或是大众生活出行领域的数字化，都离不开以数据决策为基础。而高精定位作为精准位置数据获取的基础技术，将延伸更多元化的符合市场发展的数据技术产品和服务，市场需求将持续提升。
With the iterative optimization of high-precision positioning technology, its application scope is also expanding, and it is widely used in the field of intelligent travel with vehicle navigation and automatic driving as an example, in the field of public service with infrastructure monitoring as an example, and in the field of industrial upgrading such as power grid and port intelligent monitoring. According to the latest "Survey data of consumption behavior of China's High-Precision Positioning Market in 2025" released by iiMedia Research, a third-party data mining and analysis institution in the global new economy industry, road navigation (including cycling, walking, etc.) ranks first with 48.84%. It highlights the high dependence of consumers on navigation functions, and further confirms the wide application of high-precision positioning technology in daily life scenes. At the same time, "help high-risk industries (such as mining) more convenient operation" accounted for 51.22% of consumers to become the most recognized application direction, indicating that the potential of high-precision positioning technology in high-risk industries is highly anticipated, and its characteristics of improving operational efficiency and ensuring safety have been widely recognized. In addition, technological progress and cost reduction accounted for 50.39% to become the most important factors affecting the popularity of high-precision positioning technology, reflecting the key role of technology iteration and cost optimization in promoting market development, and also providing important inspiration for the future innovation direction of the industry. Analysts from IIMedia Consulting believe that in the new context of the global economy moving toward high-quality development, the operation of public infrastructure, industry solutions or digital intelligence in the field of mass life and travel are inseparable from data-based decision-making. As the basic technology for accurate location data acquisition, high-precision positioning will extend more diversified data technology products and services in line with market development, and market demand will continue to increase.

艾媒咨询 | 2025年中国素质教育及其细分行业发展状况数据

随着公众教育观念的升级与新兴品牌崛起的速度加快，在政策支持与市场需求的双重驱动下，中国素质教育行业整体呈现出规模持续扩大的良好发展态势。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年中国素质教育及其细分行业发展状况数据》显示，2013-2024年中国居民人均教育、文化和娱乐消费支出比例中，整体呈现“长期上升、阶段波动、结构优化”的趋势。2024年占比为11.2%。未来，随着收入增长、政策支持和技术创新，这一比例有望继续提升，消费模式将更趋多元化、品质化。
城乡差距的缩小和消费场景的拓展，将成为推动消费升级的关键动力。在中国素质教育培训消费者中，90.86%的消费者表示愿意为孩子报名素质教育课程，只有9.14%的消费者表示不愿意为孩子；选择的素质教育课程类型中科技类课程占比最高，达到41.44%，艺术类课程占比39.87%，体育运动类和文化类课程分别占比37.65%和35.69%，素养类课程占比35.29%，游学类课程占比最低，仅为21.96%。反映出大多数消费者中国消费者普遍重视孩子的素质教育，愿意投入资源来提升孩子的综合素质；课程选择上更倾向于为孩子选择科技、艺术和体育类课程，以培养孩子的综合素质。
艾媒咨询分析师指出，未来中国素质教育行业下沉市场需求释放，三线以下城市潜力凸显，但行业竞争加剧，头部企业与跨界巨头抢占市场，中小机构生存压力增大；监管越发严格，合规成本上升，部分机构面临资质与运营调整压力；课程同质化严重，优质师资短缺问题突出。企业应深耕课程研发，结合技术打造差异化内容，建立师资培养体系；强化合规运营，完善资质备案与收费监管，筑牢经营根基；渠道下沉与生态合作并行，通过县域合作拓展市场，与校内教育协同构建服务闭环，实现可持续发展。
With the upgrading of public education concepts and the accelerated rise of emerging brands, driven by both policy support and market demand, the overall quality education industry in China has shown a favorable development trend of continuous expansion in scale. According to the latest "Data on the Development Status of Quality Education and Its Sub-sectors in China in 2025" released by iiMedia Research, a leading third-party data mining and analysis institution for the new economy industry worldwide, in the proportion of per capita education, culture and entertainment consumption expenditure of Chinese residents from 2013 to 2024, Overall, it shows a trend of "long-term upward movement, phased fluctuations, and structural optimization". The proportion in 2024 is 11.2%. In the future, with income growth, policy support and technological innovation, this proportion is expected to continue to rise, and consumption patterns will become more diversified and of higher quality.
The narrowing of the gap between urban and rural areas and the expansion of consumption scenarios will become the key driving forces for promoting consumption upgrading. Among Chinese consumers of quality education and training, 90.86% of them said they were willing to sign their children up for quality education courses, while only 9.14% said they were unwilling to do so. Among the types of quality education courses selected, science and technology courses have the highest proportion, reaching 41.44%, art courses account for 39.87%, sports and cultural courses account for 37.65% and 35.69% respectively, quality courses account for 35.29%, and study tour courses have the lowest proportion, only 21.96%. This reflects that the majority of Chinese consumers generally attach great importance to their children's quality education and are willing to invest resources to enhance their children's overall quality. In terms of course selection, we tend to choose science and technology, art and sports courses for children to cultivate their comprehensive qualities.
Analysts from iiMedia Research pointed out that in the future, the demand for the lower-tier markets in China's quality education industry will be released, and the potential of cities below the third-tier will be highlighted. However, industry competition will intensify, with leading enterprises and cross-industry giants vying for the market, increasing the survival pressure on small and medium-sized institutions. With increasingly strict regulation and rising compliance costs, some institutions are under pressure to adjust their qualifications and operations. There is a serious homogenization of courses and a prominent shortage of high-quality teachers. Enterprises should focus on course development, create differentiated content by integrating technology, and establish a teacher training system. Strengthen compliance operations, improve qualification filing and fee supervision, and consolidate the foundation of business operations; Channel penetration and ecological cooperation are carried out in parallel. The market is expanded through county-level cooperation, and a service loop is constructed in collaboration with in-school education to achieve sustainable development.

艾媒咨询 | 2025年中国高考及院校录取分数大数据分析报告

高考作为中国教育体系中连接基础教育与高等教育的关键枢纽，其报考规模、录取机制及分数线划分始终是社会各界关注的焦点。2025年，中国高考迎来历史性拐点，全国报名人数为1335万，较2024年减少7万，这是自2018年以来高考报名人数首次出现下降。艾媒咨询分析师认为，这一变化背后的驱动因素多元：既源于适龄考生数量的自然波动，也与职业教育、留学等多元升学路径的分流密切相关，高考从“唯一选择”向“重要选择”的转型趋势愈发明显。
而在录取环节，985院校作为高等教育的“金字塔尖”，其录取分数分布始终是考生与家长最关注的风向标。2025年，两类科目的985院校录取分数均呈现出“顶尖集中、梯度分明、学科差异显著”的特征。iiMedia Research（艾媒咨询）数据显示，在历史普通类本科批中，清华大学以24省675.25分的平均录取分数稳居第一，北京大学以670.54分紧随其后，上海交通大学以659.75平均分位列第三；TOP4-10依次为复旦大学（659.38分）、中国人民大学（654.83分）、南京大学（650.38分）、浙江大学（650.08分）、国防科技大学（644.50分）、北京航空航天大学（637.71分）、南开大学（635.83分）。在物理普通类本科批中，北京大学以24省平均688.00分拔得头筹，清华大学以686.29分排名第二，上海交通大学以676.46分位列第三；TOP4-10依次为复旦大学（675.58分）、中国科学技术大学（670.58分）、浙江大学（670.50分）、中国人民大学（667.50分）、南京大学（667.04分）、哈尔滨工业大学（666.67分）、北京航空航天大学（656.33分）。从数据看，学科差异尤为明显。物理类分数整体高于历史类，反映出理科方向的竞争更为激烈，顶尖院校竞争进入“分毫必争”阶段。
As a key hub connecting basic education and higher education in China's education system, the college entrance examination has always been the focus of attention from all sectors of society in terms of its application scale, admission mechanism and score line division. In 2025, China's college entrance examination will reach a historic turning point. The number of applicants nationwide will be 13.35 million, a decrease of 70,000 compared to 2024. This is the first decline in the number of applicants since 2018. Analysts from iiMedia Research believe that the driving factors behind this change are diverse: it is not only due to the natural fluctuation in the number of school-age candidates, but also closely related to the diversion of multiple college admission paths such as vocational education and studying abroad. The trend of the college entrance examination transforming from the "only choice" to the "important choice" is becoming increasingly obvious.
In the admission process, as the "top of the pyramid" of higher education, the distribution of admission scores of 985 universities has always been the most closely watched barometer for candidates and their parents. In 2025, the admission scores of 985 universities for both types of subjects will exhibit the characteristics of "concentrated top-tier, distinct gradients, and significant disciplinary differences" :iiMedia Research Data shows that in the regular undergraduate batch of history, Tsinghua University ranked first with an average score of 675.25 across 24 provinces, followed closely by Peking University with 670.54 points, and Shanghai Jiao Tong University came in third with 659.75 points. The top 4 to 10 universities are Fudan University (659.38 points), Renmin University of China (654.83 points), Nanjing University (650.38 points), Zhejiang University (650.08 points), National University of Defense Technology (644.50 points), Beihang University (637.71 points), and Nankai University (635.83 points) in sequence. In the regular undergraduate batch of physics, Peking University took the lead with an average score of 688.00 across 24 provinces. Tsinghua University ranked second with 686.29 points, and Shanghai Jiao Tong University came in third with 676.46 points. The top 4 to 10 are Fudan University (675.58 points), University of Science and Technology of China (670.58 points), Zhejiang University (670.50 points), Renmin University of China (667.50 points), Nanjing University (667.04 points), Harbin Institute of Technology (666.67 points), and Beihang University (656.33 points) in sequence. From the data, it can be seen that the differences among disciplines are particularly obvious. The overall score for physics is higher than that for history, reflecting that the competition in the science direction is more intense, and the competition among top universities has entered a stage where every penny counts.

艾媒咨询 | 2025年中国短故事市场发展趋势报告

短故事凭借其节奏快、适配碎片阅读的特点，正从传统长文生态中突围，成为网文平台内容创新与用户增长的新引擎。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年中国短故事市场发展趋势报告》显示，2024年中国网络文学市场规模达495.5亿元，同比上升29.4%。艾媒咨询分析师认为，网络文学市场规模的上升，在内容供给、受众转化、资本支持及运营推广等方面为短故事的发展创造了有利条件，推动短故事行业持续繁荣。随着AIGC技术的发展，短故事行业将突破传统生产模式的瓶颈，实现内容生态的智能化升级与商业模式的创新拓展。
Short stories, with their fast-paced nature and suitability for fragmented reading, are breaking through the traditional long-form literature ecosystem and becoming a new engine for content innovation and user growth on online literature platforms. According to the latest "2025 China Short Story Market Development Trend Report" released by iiMedia Research, a leading global third-party data mining and analysis agency for the new economy industry, the scale of China's online literature market reached 49.55 billion yuan in 2024, up 29.4% year-on-year. Analysts from iiMedia Research believe that the growth of the online literature market has created favorable conditions for the development of short stories in terms of content supply, audience conversion, capital support, and operation promotion, driving the continuous prosperity of the short story industry. With the development of AIGC technology, the short story industry will break through the bottlenecks of traditional production models, achieving intelligent upgrades in the content ecosystem and innovative expansions in business models.

艾媒咨询 | 2026年中国学步鞋市场消费行为洞察报告

当前学步鞋行业正处于高速增长与深度变革并行的发展阶段，科学育儿理念普及推动产品成为婴幼儿成长刚需。新生代父母聚焦功能性与安全性核心诉求，行业呈现高端化、智能化、环保化趋势，人体工学设计、护足功能、环保材料应用成为核心方向，智能学步鞋凭借步态监测等创新功能也获得了市场关注。在监管政策趋严驱动行业规范化升级的同时，行业仍面临功能宣传标准缺失、原材料价格波动及库存管控等挑战。根据全球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《2026年中国学步鞋市场消费行为洞察报告》数据显示，在学步鞋购买决策中，舒适度（74.0%）和功能性（64.3%）构成核心考量维度。材质偏好上，透气网布（77.7%）为首选，其次为抗菌天丝（56.2%）。鞋底技术方面，全平橡胶底（43.1%）和波浪防滑底（34.3%）为市场主流选择。消费者对学步鞋的专业防护功能需求明确，且注重功能验证与价值感知。艾媒咨询分析师认为，学步鞋市场已从“基础穿着需求”向“专业化护足解决方案”转型，消费者决策逻辑的精细化推动行业进入“功能价值竞争”新阶段。未来，具备明确功能验证体系（如护足效果检测认证）、融合环保材料与人体工学设计的产品将占据竞争高地。
The baby walking shoe industry is currently in a phase of rapid growth coupled with profound transformation. The widespread adoption of scientific parenting concepts has driven product demand, making these shoes essential for infant and toddler development. The new generation of parents focuses on functionality and safety as core requirements, leading the industry toward trends of premiumization, smart technology integration, and eco-friendliness. Ergonomic design, foot-protection features, and the use of sustainable materials have become central directions. Smart walking shoes, with innovative functions such as gait monitoring, are also gaining market attention. While increasingly stringent regulatory policies drive standardized industry upgrades, challenges remain, including a lack of standards for functional claims, fluctuations in raw material prices, and inventory management.According to the latest Report on insights into the consumption behavior of China's baby walking shoes market in 2026, released by iiMedia Research, a global third-party data mining and analysis institution for the new economy industry, comfort (74.0%) and functionality (64.3%) constitute the core decision-making dimensions for purchasing baby walking shoes. Regarding material preference, breathable mesh fabric (77.7%) is the top choice, followed by antibacterial Tencel (56.2%). In terms of sole technology, full-flat rubber soles (43.1%) and wave-pattern anti-slip soles (34.3%) represent mainstream market selections. Consumers demonstrate clear demand for specialized protective functions in baby walking shoes and emphasize functional verification and value perception.iiMedia Research analysts conclude that the baby walking shoe market has transitioned from addressing "basic wearing needs" to providing "specialized foot-protection solutions." The refinement of consumer decision-making logic is propelling the industry into a new phase of "functional value competition." In the future, products equipped with clear functional verification systems (such as foot-protection effect testing and certification) and integrating sustainable materials with ergonomic design will occupy a competitive high ground.

艾媒咨询｜2024年中国专升本学历培训市场趋势分析报告

近年来，国家出台了一系列政策以引导和规范学历培训行业，为其发展奠定良好的环境基础。与此同时，就业形势的严峻性以及个人学历受重视程度的日益提高，也为学历培训行业带来了前所未有的发展机遇。全球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《2024年中国专升本学历培训市场趋势分析报告》数据显示，超九成的专升本人群在备考期间更倾向于报班学习，专升本一类的培训机构将迎来利好。为更好地满足学员的学习需求和市场需求，培训机构需不断创新教育模式、提升教育质量和服务水平、拓展海外市场以及实现数字化和智能化转型。
In recent years, the state has introduced a series of policies to guide and regulate the academic training industry, laying a good environmental foundation for its development. At the same time, the severity of the employment situation and the increasing importance of personal qualifications has also brought unprecedented opportunities for the development of the academic training industry. According to the latest Research Report 2024 China Postsecondary Degree Training Market Trend Analysis Report released by iiMedia Research, a third-party data mining and analysis institution of the global new economy industry, more than 90% of the college-educated people are more inclined to enroll in classes during the preparation for the examination, and training institutions for college-educated people will usher in a favourable situation, and in order to satisfy more consumer demand, training institutions need to continuously innovate education models, improve education quality and service, and expand overseas markets as well as digital intelligent transformation. In order to better meet the learning needs of students and market demand, training institutions need to constantly innovate education models, improve education quality and service level, expand overseas markets, and realize digital and intelligent transformation.

艾媒咨询｜2024-2025年中国智能学习机市场趋势研究报告

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。全球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《2024-2025年中国智能学习机市场趋势研究报告》数据显示，2023年中国教育智能硬件市场规模达807亿元，同比增长29.53%；预计2025年中国教育智能硬件市场规模将超1000亿元。
艾媒咨询分析师认为，中国教育智能产品正在为传统的教育方式带来更多的可能性和创新性，人工智能等新兴技术与教育的深度融合，是今后智能学习机领域高质量发展的重要一步。
With the continuous development of technology, the technology of intelligent learning machine products is becoming increasingly mature and widely used in multiple educational and learning scenarios. Its broad application prospects will drive the rapid growth of China's intelligent learning machine industry. According to the latest "Research Report on the Trends of China's Intelligent Learning Machine Market from 2024 to 2025" released by iiMedia Research, a third-party data mining and analysis firm in the global new economy industry, the size of China's education intelligent hardware market reached 80.7 billion yuan in 2023, a year-on-year increase of 29.53%; It is expected that the scale of China's education intelligent hardware market will exceed 100 billion yuan by 2025.
Analysts from iMedia Consulting believe that Chinese educational intelligent products are bringing more possibilities and innovation to traditional education methods. The deep integration of emerging technologies such as artificial intelligence with education is an important step towards the high-quality development of the intelligent learning machine field in the future.