China Internet Service: Internet Penetration Rate: Rural data was reported at 65.600 % in Dec 2024. This records an increase from the previous number of 63.800 % for Jun 2024. China Internet Service: Internet Penetration Rate: Rural data is updated semiannually, averaging 35.950 % from Dec 2007 (Median) to Dec 2024, with 28 observations. The data reached an all-time high of 66.500 % in Dec 2023 and a record low of 7.400 % in Dec 2007. China Internet Service: Internet Penetration Rate: Rural data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Internet Market Size. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

When asked about "Attitudes towards the internet", most Chinese respondents pick "It is important to me to have mobile internet access in any place" as an answer. 48 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

CN: Internet Service: No of Internet User: Ningxia data was reported at 3.390 Person mn in Dec 2016. This records an increase from the previous number of 3.260 Person mn for Dec 2015. CN: Internet Service: No of Internet User: Ningxia data is updated semiannually, averaging 1.580 Person mn from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 3.390 Person mn in Dec 2016 and a record low of 0.310 Person mn in Dec 2004. CN: Internet Service: No of Internet User: Ningxia data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

China Internet Service: Internet Penetration Rate: Urban data was reported at 85.300 % in Dec 2024. This stayed constant from the previous number of 85.300 % for Jun 2024. China Internet Service: Internet Penetration Rate: Urban data is updated semiannually, averaging 71.850 % from Dec 2007 (Median) to Dec 2024, with 28 observations. The data reached an all-time high of 85.300 % in Dec 2024 and a record low of 26.000 % in Dec 2007. China Internet Service: Internet Penetration Rate: Urban data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Internet Market Size. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

Internet Service: Number of Internet User: Beijing data was reported at 16.900 Person mn in Dec 2016. This records an increase from the previous number of 16.470 Person mn for Dec 2015. Internet Service: Number of Internet User: Beijing data is updated semiannually, averaging 11.605 Person mn from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 16.900 Person mn in Dec 2016 and a record low of 3.980 Person mn in Dec 2003. Internet Service: Number of Internet User: Beijing data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

Internet Service: Internet Penetration Rate: Shanghai data was reported at 74.100 % in Dec 2016. This records an increase from the previous number of 73.100 % for Dec 2015. Internet Service: Internet Penetration Rate: Shanghai data is updated semiannually, averaging 63.250 % from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 74.100 % in Dec 2016 and a record low of 25.800 % in Dec 2004. Internet Service: Internet Penetration Rate: Shanghai data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

China Internet Service: Internet Penetration Rate data was reported at 78.600 % in Dec 2024. This records an increase from the previous number of 78.000 % for Jun 2024. China Internet Service: Internet Penetration Rate data is updated semiannually, averaging 44.950 % from Jun 2002 (Median) to Dec 2024, with 46 observations. The data reached an all-time high of 78.600 % in Dec 2024 and a record low of 3.600 % in Jun 2002. China Internet Service: Internet Penetration Rate data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

Internet Service: Internet Penetration Rate: Zhejiang data was reported at 65.600 % in Dec 2016. This records an increase from the previous number of 65.300 % for Dec 2015. Internet Service: Internet Penetration Rate: Zhejiang data is updated semiannually, averaging 50.850 % from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 65.600 % in Dec 2016 and a record low of 9.700 % in Dec 2003. Internet Service: Internet Penetration Rate: Zhejiang data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

Internet Service: Number of Internet User: Tibet data was reported at 1.490 Person mn in Dec 2016. This records an increase from the previous number of 1.420 Person mn for Dec 2015. Internet Service: Number of Internet User: Tibet data is updated semiannually, averaging 0.670 Person mn from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 1.490 Person mn in Dec 2016 and a record low of 0.070 Person mn in Dec 2004. Internet Service: Number of Internet User: Tibet data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

Internet Service: Internet Penetration Rate: Hunan data was reported at 44.400 % in Dec 2016. This records an increase from the previous number of 39.900 % for Dec 2015. Internet Service: Internet Penetration Rate: Hunan data is updated semiannually, averaging 24.650 % from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 44.400 % in Dec 2016 and a record low of 4.000 % in Dec 2003. Internet Service: Internet Penetration Rate: Hunan data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

AI Training Dataset Market Outlook

The global AI training dataset market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 6.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 20.5% from 2024 to 2032. This substantial growth is driven by the increasing adoption of artificial intelligence across various industries, the necessity for large-scale and high-quality datasets to train AI models, and the ongoing advancements in AI and machine learning technologies.

One of the primary growth factors in the AI training dataset market is the exponential increase in data generation across multiple sectors. With the proliferation of internet usage, the expansion of IoT devices, and the digitalization of industries, there is an unprecedented volume of data being generated daily. This data is invaluable for training AI models, enabling them to learn and make more accurate predictions and decisions. Moreover, the need for diverse and comprehensive datasets to improve AI accuracy and reliability is further propelling market growth.

Another significant factor driving the market is the rising investment in AI and machine learning by both public and private sectors. Governments around the world are recognizing the potential of AI to transform economies and improve public services, leading to increased funding for AI research and development. Simultaneously, private enterprises are investing heavily in AI technologies to gain a competitive edge, enhance operational efficiency, and innovate new products and services. These investments necessitate high-quality training datasets, thereby boosting the market.

The proliferation of AI applications in various industries, such as healthcare, automotive, retail, and finance, is also a major contributor to the growth of the AI training dataset market. In healthcare, AI is being used for predictive analytics, personalized medicine, and diagnostic automation, all of which require extensive datasets for training. The automotive industry leverages AI for autonomous driving and vehicle safety systems, while the retail sector uses AI for personalized shopping experiences and inventory management. In finance, AI assists in fraud detection and risk management. The diverse applications across these sectors underline the critical need for robust AI training datasets.

As the demand for AI applications continues to grow, the role of Ai Data Resource Service becomes increasingly vital. These services provide the necessary infrastructure and tools to manage, curate, and distribute datasets efficiently. By leveraging Ai Data Resource Service, organizations can ensure that their AI models are trained on high-quality and relevant data, which is crucial for achieving accurate and reliable outcomes. The service acts as a bridge between raw data and AI applications, streamlining the process of data acquisition, annotation, and validation. This not only enhances the performance of AI systems but also accelerates the development cycle, enabling faster deployment of AI-driven solutions across various sectors.

Regionally, North America currently dominates the AI training dataset market due to the presence of major technology companies and extensive R&D activities in the region. However, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by rapid technological advancements, increasing investments in AI, and the growing adoption of AI technologies across various industries in countries like China, India, and Japan. Europe and Latin America are also anticipated to experience significant growth, supported by favorable government policies and the increasing use of AI in various sectors.

Data Type Analysis

The data type segment of the AI training dataset market encompasses text, image, audio, video, and others. Each data type plays a crucial role in training different types of AI models, and the demand for specific data types varies based on the application. Text data is extensively used in natural language processing (NLP) applications such as chatbots, sentiment analysis, and language translation. As the use of NLP is becoming more widespread, the demand for high-quality text datasets is continually rising. Companies are investing in curated text datasets that encompass diverse languages and dialects to improve the accuracy and efficiency of NLP models.

Image data is critical for computer vision application

Given the unprecedented and profound impact on the traditional sports industry and its economic driving force brought by the “Internet +”, the purpose of this study is to explore the driving relationship between the sports industry and local economic development and deconstruct the dynamic regulation mechanism of “Internet +” on the economic spillover of the sports industry. Empirical data collected from China’s 11 inter-provincial panel data from 2015–2019 were analyzed through the fixed-effects and threshold models. The study finds that the economic spillover of the sports industry has significantly promoted regional economic development, and the regulation effect of the Internet has complex non-linear characteristics. Only when Internet development exceeds a specific threshold can it develop a benign complementary mechanism with the sports industry. The impact of “Internet +” on the threshold regulation of the sports industry economic spillover has spatial and temporal differentiation characteristics in the three dimensions of Internet hardware level, Internet penetration rate, and Internet application value. The results of this study extend the current study, indicating that it is a practical choice for local governments to develop the economy through the sports industry. Provinces and cities should enhance the Internet penetration rate, expand Internet business applications, and upgrade Internet development to a specific point to maximize the drive of positive spillover. Regional heterogeneity requires differential regulation strategies and more concentration on the middle and western regions.

China Internet Service: Usage Rate: Email data was reported at 38.100 % in Jun 2018. This records an increase from the previous number of 36.800 % for Dec 2017. China Internet Service: Usage Rate: Email data is updated semiannually, averaging 47.900 % from Dec 2005 (Median) to Jun 2018, with 25 observations. The data reached an all-time high of 64.700 % in Dec 2005 and a record low of 33.900 % in Dec 2016. China Internet Service: Usage Rate: Email data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage.

Internet Service: Internet Penetration Rate: Guizhou data was reported at 43.200 % in Dec 2016. This records an increase from the previous number of 38.400 % for Dec 2015. Internet Service: Internet Penetration Rate: Guizhou data is updated semiannually, averaging 17.450 % from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 43.200 % in Dec 2016 and a record low of 2.200 % in Dec 2003. Internet Service: Internet Penetration Rate: Guizhou data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

Internet Service: Internet Penetration Rate: Fujian data was reported at 69.700 % in Dec 2016. This records an increase from the previous number of 69.600 % for Dec 2015. Internet Service: Internet Penetration Rate: Fujian data is updated semiannually, averaging 48.050 % from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 69.700 % in Dec 2016 and a record low of 9.200 % in Dec 2003. Internet Service: Internet Penetration Rate: Fujian data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

China Internet Service: Usage Rate: Mobile Phone: Internet Search data was reported at 77.900 % in Dec 2020. This records a decrease from the previous number of 81.600 % for Jun 2020. China Internet Service: Usage Rate: Mobile Phone: Internet Search data is updated semiannually, averaging 77.050 % from Jun 2009 (Median) to Dec 2020, with 24 observations. The data reached an all-time high of 83.100 % in Dec 2019 and a record low of 26.200 % in Jun 2009. China Internet Service: Usage Rate: Mobile Phone: Internet Search data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

Internet Service: Internet Penetration Rate: Hubei data was reported at 51.400 % in Dec 2016. This records an increase from the previous number of 46.800 % for Dec 2015. Internet Service: Internet Penetration Rate: Hubei data is updated semiannually, averaging 29.500 % from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 51.400 % in Dec 2016 and a record low of 6.400 % in Dec 2003. Internet Service: Internet Penetration Rate: Hubei data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

China Internet Service: Usage Rate: Online Office data was reported at 49.200 % in Dec 2023. This records an increase from the previous number of 47.100 % for Jun 2023. China Internet Service: Usage Rate: Online Office data is updated semiannually, averaging 44.600 % from Jun 2020 (Median) to Dec 2023, with 8 observations. The data reached an all-time high of 50.600 % in Dec 2022 and a record low of 21.200 % in Jun 2020. China Internet Service: Usage Rate: Online Office data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage.

Internet Service: Internet Penetration Rate: Tianjin data was reported at 64.600 % in Dec 2016. This records an increase from the previous number of 63.000 % for Dec 2015. Internet Service: Internet Penetration Rate: Tianjin data is updated semiannually, averaging 50.350 % from Dec 2003 (Median) to Dec 2016, with 14 observations. The data reached an all-time high of 64.600 % in Dec 2016 and a record low of 14.400 % in Dec 2003. Internet Service: Internet Penetration Rate: Tianjin data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Internet User and Penetration Rate.

China Internet Service: Usage Rate: Mobile Phone: Email data was reported at 32.600 % in Jun 2018. This records an increase from the previous number of 30.900 % for Dec 2017. China Internet Service: Usage Rate: Mobile Phone: Email data is updated semiannually, averaging 25.900 % from Jun 2009 (Median) to Jun 2018, with 19 observations. The data reached an all-time high of 32.600 % in Jun 2018 and a record low of 9.800 % in Jun 2009. China Internet Service: Usage Rate: Mobile Phone: Email data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone.