关于“电视机”的报告
艾媒咨询 | 2025年中国电视剧行业市场消费行为调查数据
随着在线视频平台的快速发展,中国电视剧消费模式呈现显著特征,用户行为偏好与行业生态紧密关联。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年中国电视剧行业市场消费行为调查数据》数据显示,在线视频平台以66.54%的观看占比主导用户收视场景,其中爱奇艺以48.05%的平台偏好率成为市场首选。从内容消费习惯看,50.18%的观众日均观看时长为1-2小时,36.54%的用户以“娱乐、打发时间”为核心观看诉求。在内容形态选择上,爱情、都市题材以33.58%的偏好度占据类型榜首,反映现实主义题材的持续吸引力。剧集体量方面,55.19%的观众倾向20-30集中等长度作品,体现市场对叙事紧凑性与内容深度的平衡需求。艾媒咨询分析师认为,当前电视剧消费已形成“内容质量-平台生态-用户粘性”的闭环体系。建议行业参与者重点强化三方面能力建设:一是深耕爱情、都市等核心赛道的同时拓展多元题材创新,二是优化20-30集剧集的叙事结构与排播策略以适配观众习惯,三是通过会员权益分级与独家内容矩阵提升付费转化效率。
With the rapid development of online video platforms, the consumption pattern of Chinese TV dramas shows significant characteristics, and user behavior preferences are closely related to the industry ecology. According to the latest "Survey data of Chinese TV drama industry market consumption behavior in 2025" released by iiMedia Research, a third-party data mining and analysis institution in the global new economy industry, online video platforms dominated user viewing scenes with 66.54% of viewing. Among them, iQiyi became the first choice in the market with a platform preference rate of 48.05%. From the perspective of content consumption habits, 50.18% of viewers watch 1-2 hours per day, and 36.54% of users take "entertainment and killing time" as the core viewing appeal. In the choice of content form, love and urban themes occupy the top of the category with 33.58% preference, reflecting the continuous appeal of realistic themes. In terms of drama volume, 55.19% of the audience prefer 20-30 episodes of equal length, reflecting the market's demand for balance between narrative compactness and content depth. iiMedia Research believe that the current TV series consumption has formed a closed-loop system of "content quality - platform ecology - user stickiness". It is suggested that industry participants focus on strengthening the capacity building in three aspects: first, expand the innovation of diversified themes while deeply cultivating the core track such as love and city; second, optimize the narrative structure and scheduling strategy of 20-30 episodes to adapt to audience habits; third, improve the efficiency of payment conversion through the classification of member rights and exclusive content matrix.艾媒咨询 | 2024年中国电视剧行业消费行为调研分析报告
电视剧已成为现代生活不可或缺的娱乐方式,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年中国电视剧行业消费行为调研分析报告》数据显示,34.03%的观众观看电视剧时间占空闲时间的比例为40%-60%,24.09%的观众则有20%-40%的空闲时间用于观看电视剧。在剧情偏好方面,动作冒险类(33.45%)、爱情都市类(33.27%)以及悬疑警匪类(32.91%)剧集尤为受到观众青睐。至于观剧平台的选择,头部平台优势明显,腾讯视频与爱奇艺占据了市场的较大份额。艾媒咨询分析师认为,目前电视剧观众的剧情偏好呈现出多元化的特点。制片方与剧组应当摒弃一味追求高流量和同质化的传统思维,鼓励多题材作品的繁荣发展,并依据不同平台的受众特征进行精准投放,以实现内容与平台的最佳匹配。
TV series have become an indispensable entertainment mode in modern life. According to the latest "2024 China TV drama industry consumer behavior research analysis report" released by iiMedia Research, a third-party data mining and analysis institution in the global new economy industry, 34.03% of the audience watch TV series accounted for 40%-60% of their free time, and 24.09% of the audience spend 20%-40% of their free time watching TV series. In terms of plot preference, action-adventure series (33.45%), love-city series (33.27%) and suspense police series (32.91%) were particularly favored by viewers. As for the choice of viewing platforms, the head platform has obvious advantages, and Tencent Video and iQiyi occupy a large share of the market. Analysts from IImedia Consulting believe that the current drama audience preferences show diversified characteristics. Producers and crews should abandon the traditional thinking of blindly pursuing high traffic and homogenization, encourage the prosperity and development of multi-theme works, and accurately deliver according to the audience characteristics of different platforms, so as to achieve the best match between content and platforms.艾媒咨询 | 2025年中国健身器材行业消费行为调查数据
随着全民健身意识的深度渗透,中国健身消费市场已构建起多维度需求矩阵,主要覆盖以力量训练、有氧运动为核心的基础健身场景,以瑜伽、普拉提为代表的专项塑形场景,以及健身营养补给、运动知识付费等衍生服务场景。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年中国健身器材行业消费行为调查数据》显示,43.99%的消费者每周健身频次为1-5次,且单次健身时长集中于30分钟至1小时,占比高达64.49%。从健身偏好来看,力量训练/举重以57.51%的参与率成为最受青睐的健身类型,而健身服(瑜伽服/跑步服等)以33.99%的占比领跑消费者健身用品购买需求。在消费渠道方面,59.44%的消费者倾向通过大型超市/百货商场的体育用品区购买健身产品,凸显线下场景的信任优势。但线上消费亦面临显著痛点:82.88%的消费者对网购健身用品的质量问题存在担忧,而选择线上店铺时,60.27%的用户将商品质量视为核心决策因素,远超价格、品牌等维度。艾媒咨询分析师指出,当前健身消费市场呈现“线下强体验、线上重质量”的二元特征。建议厂商强化线下渠道的专业化服务能力,例如增设健身器材体验区、提供个性化训练指导;针对线上消费痛点,需建立更透明的质量认证体系,通过第三方检测背书、用户评价可视化等方式降低信任门槛,同时优化力量训练等细分品类的产品创新,满足消费者对功能性健身装备的进阶需求。
With the deep penetration of national fitness awareness, China's fitness consumer market has built a multidimensional demand matrix, mainly covering the basic fitness scene with strength training and aerobic exercise as the core, the special shaping scene represented by yoga and Pilates, and the derivative service scene such as fitness nutrition supply and sports knowledge payment. According to the latest "2025 China Fitness Equipment Industry Consumption Behavior Survey Data" released by iiMedia Research, a third party data mining and analysis institution in the global new economy industry, 43.99% of consumers exercise 1-5 times a week, and a single exercise duration is concentrated in 30 minutes to 1 hour. The proportion is as high as 64.49%. From the perspective of fitness preferences, strength training/weightlifting became the most popular type of fitness with a participation rate of57.51%, while fitness clothing (yoga clothing/running clothing, etc.) led the consumer's purchase demand for fitness supplies with 33.99%. In terms of consumption channels, 59.44% of consumers tend to buy fitness products through the sporting goods area of large supermarkets/department stores, highlighting the trust advantage of offline scenes. However, online consumption also faces significant pain points: 82.88% of consumers are worried about the quality of online shopping fitness supplies, and when choosing online stores, 60.27% of users regard product quality as the core decision-making factor, far exceeding price, brand and other dimensions. Analysts from IImedia Consulting pointed out that the current fitness consumer market presents the dual characteristics of "offline strong experience and online quality". It is suggested that manufacturers strengthen the professional service capabilities of offline channels, such as adding fitness equipment experience areas and providing personalized training guidance; In view of the pain points of online consumption, it is necessary to establish a more transparent quality certification system, reduce the threshold of trust through third-party testing endorsement, user evaluation visualization and other ways, and optimize the product innovation of strength training and other subcategories to meet the advanced needs of consumers for functional fitness equipment.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.
- 1
- 2
- 3
- 4
- 5
- 6
- 9