The internet penetration rate in India rose over 55 percent in 2025, from about 14 percent in 2014. Although these figures seem relatively low, it meant that more than half of the population of 1.4 billion people had internet access that year. This also ranked the country second in the world in terms of active internet users. Internet availability and accessibility By 2021 the number of internet connections across the country tripled with urban areas accounting for a higher density of connections than rural regions. Despite incredibly low internet prices, internet usage in India has yet to reach its full potential. Lack of awareness and a tangible gender gap lie at the heart of the matter, with affordable mobile handsets and mobile internet connections presenting only a partial solution. Reliance Jio was the popular choice among Indian internet subscribers, offering them wider coverage at cheap rates. Digital living Home to one of the largest bases of netizens in the world, India is abuzz with internet activities being carried out every moment of every day. From information and research to shopping and entertainment to living in smart homes, Indians have welcomed digital living with open arms. Among these, social media usage was one of the most common reasons for accessing the internet.

The number of internet users in India was forecast to continuously increase between 2024 and 2029 by in total 262.9 million users (+27.73 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 1.2 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like Nepal and Pakistan.

The number of households with internet access in India was forecast to continuously increase between 2024 and 2029 by in total 109.9 million households (+69.15 percent). After the fifteenth consecutive increasing year, the number of households is estimated to reach 268.86 million households and therefore a new peak in 2029. Notably, the number of households with internet access of was continuously increasing over the past years.Depicted is the number of housholds with internet access in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of households with internet access in countries like Nepal and Bangladesh.

India Internet Statistics: Number of Subscribers data was reported at 970,160,000.000 Unit in Dec 2024. This records a decrease from the previous number of 971,500,000.000 Unit for Sep 2024. India Internet Statistics: Number of Subscribers data is updated quarterly, averaging 665,310,000.000 Unit from Dec 2013 (Median) to Dec 2024, with 45 observations. The data reached an all-time high of 971,500,000.000 Unit in Sep 2024 and a record low of 238,710,000.000 Unit in Dec 2013. India Internet Statistics: Number of Subscribers data remains active status in CEIC and is reported by Telecom Regulatory Authority of India. The data is categorized under Global Database’s India – Table IN.TE040: Internet Statistics: Number of Subscribers. Internet Subscribers: Total (series ID: 359243527) includes all the mode of access for Internet where includes Wired and Wireless which covers Fixed Wireless (Wi-Fi, Wi-Max, Point-to-Point Radio & VSAT) and Mobile Wireless (Phone + Dongle). [COVID-19-IMPACT]

Graph and download economic data for Internet users for India (ITNETUSERP2IND) from 1990 to 2022 about internet, India, and persons.

Forecast: Total Internet Users in India 2023 - 2027 Discover more data with ReportLinker!

Internet Usage: Social Media Market Share: All Platforms: Youku data was reported at 0.040 % in 02 May 2024. This records an increase from the previous number of 0.010 % for 01 May 2024. Internet Usage: Social Media Market Share: All Platforms: Youku data is updated daily, averaging 0.000 % from Jan 2024 (Median) to 02 May 2024, with 111 observations. The data reached an all-time high of 0.200 % in 26 Mar 2024 and a record low of 0.000 % in 30 Apr 2024. Internet Usage: Social Media Market Share: All Platforms: Youku data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s India – Table IN.SC.IU: Internet Usage: Social Media Market Share.

Forecast: Total Internet Users in India 2024 - 2028 Discover more data with ReportLinker!

In 2023, India had over 1.2 billion internet users across the country. This figure was projected to grow to over 1.6 billion users by 2050, indicating a big market potential in internet services for the South Asian country. In fact, India was ranked as the second largest online market worldwide in 2022, second only to China. The number of internet users was estimated to increase in both urban as well as rural regions, indicating a dynamic growth in access to internet.

Mobile connectivity

Of the total internet users in the country, a majority of the people access the internet via their mobile phones. There were nearly the same amount of smartphone users as internet users across the country. Cheap availability of mobile data, a growing smartphone user base in the country along with the utility value of smartphones compared to desktops and tablets are some of the factors contributing to the mobile heavy internet access in India.

Growth is on the cards

Despite the large number of internet users in the country, the internet penetration levels took longer to catch up equally. At the same time, the number of women who have access to internet is much lower than men in the country, and the bias is even more evident in rural India. Similarly, internet usage is lower among older adults in the country due to internet literacy and technological know-how. By encouraging internet accessibility among marginalized groups including women, older people and rural inhabitants in the country, India’s digital footprint has significant headroom to grow.

Internet Speed in India increased to 6492.06 KBps in the first quarter of 2017 from 5567.50 KBps in the fourth quarter of 2016. This dataset includes a chart with historical data for IndiaInternet Speed.

India Internet: Subscribers: Wired data was reported at 21,420,000.000 Unit in Dec 2018. This records an increase from the previous number of 21,250,000.000 Unit for Sep 2018. India Internet: Subscribers: Wired data is updated quarterly, averaging 20,760,000.000 Unit from Dec 2013 (Median) to Dec 2018, with 21 observations. The data reached an all-time high of 21,670,000.000 Unit in Jun 2017 and a record low of 18,330,000.000 Unit in Dec 2013. India Internet: Subscribers: Wired data remains active status in CEIC and is reported by Telecom Regulatory Authority of India. The data is categorized under Global Database’s India – Table IN.TE040: Internet Statistics: Number of Subscribers.

Reliance stocks 10 years daily data. This data was collected from NSE India for each month and concatenated into a single file. Please note the header is added multiple times, which needs to be deleted upon first usage.

Welcome to the "Comprehensive Indian Online Fraud Dataset", a meticulously curated resource designed to drive the development of sophisticated analytical models that can detect and predict online fraud across India. This dataset provides a snapshot of fraudulent activities, making it an invaluable asset for data scientists focusing on cybersecurity.

Content:

The dataset encompasses over 1,200 entries detailing various aspects of fraudulent transactions, including:

Transaction IDs and Customer IDs: Unique identifiers for transactions and customers. Merchant IDs: Identifiers for merchants involved in the transactions. Transaction Amounts: The monetary values of the transactions. Transaction Time: Timestamps of each transaction. Card Types: Including Visa, MasterCard, and Rupay. Locations: Focused on major Indian cities. Fraud Types: Categorized into phishing, scam, malware, identity theft, and payment card fraud. Purchase Categories and Ages of customers involved. Transaction Descriptions: Detailed narratives of the transactions. Our objective is to foster a collaborative environment where Kagglers can explore and model this data, sharing insights and methodologies to improve fraud detection systems. By dissecting this dataset, we hope to contribute to safer online transactions and a better understanding of digital fraud dynamics in India.

India Internet Statistics: Number of Subscribers: Broadband Pacenet (I) Private Limited data was reported at 12,017.000 Unit in Dec 2018. This records a decrease from the previous number of 12,375.000 Unit for Sep 2018. India Internet Statistics: Number of Subscribers: Broadband Pacenet (I) Private Limited data is updated quarterly, averaging 22,167.000 Unit from Jun 2004 (Median) to Dec 2018, with 59 observations. The data reached an all-time high of 52,637.000 Unit in Dec 2014 and a record low of 10,229.000 Unit in Sep 2005. India Internet Statistics: Number of Subscribers: Broadband Pacenet (I) Private Limited data remains active status in CEIC and is reported by Telecom Regulatory Authority of India. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TE041: Internet Statistics: Number of Subscribers: by Company.

India Internet Usage: Search Engine Market Share: Desktop: Mail.ru data was reported at 0.010 % in 28 Apr 2024. This stayed constant from the previous number of 0.010 % for 27 Apr 2024. India Internet Usage: Search Engine Market Share: Desktop: Mail.ru data is updated daily, averaging 0.010 % from Mar 2024 (Median) to 28 Apr 2024, with 38 observations. The data reached an all-time high of 0.100 % in 26 Mar 2024 and a record low of 0.000 % in 18 Apr 2024. India Internet Usage: Search Engine Market Share: Desktop: Mail.ru data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s India – Table IN.SC.IU: Internet Usage: Search Engine Market Share.

Context

Google Chrome is a popular web browser developed by Google.

Content

The Chrome User Experience Report is a public dataset of key user experience metrics for popular origins on the web, as experienced by Chrome users under real-world conditions.

Acknowledgements

https://bigquery.cloud.google.com/dataset/chrome-ux-report:all

For more info, see the documentation at https://developers.google.com/web/tools/chrome-user-experience-report/

License: CC BY 4.0

Photo by Edho Pratama on Unsplash

India Internet Statistics: Number of Subscribers: West Bengal Electronics Industry Development Corp Limited data was reported at 30.000 Unit in Dec 2018. This stayed constant from the previous number of 30.000 Unit for Sep 2018. India Internet Statistics: Number of Subscribers: West Bengal Electronics Industry Development Corp Limited data is updated quarterly, averaging 52.000 Unit from Mar 2003 (Median) to Dec 2018, with 62 observations. The data reached an all-time high of 10,756.000 Unit in Dec 2005 and a record low of 10.000 Unit in Mar 2003. India Internet Statistics: Number of Subscribers: West Bengal Electronics Industry Development Corp Limited data remains active status in CEIC and is reported by Telecom Regulatory Authority of India. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TE041: Internet Statistics: Number of Subscribers: by Company.

Dataset

This dataset was created by vikas bhat

Contents

Indian Traffic Sign Image Dataset

Datasets for Indian traffic signs

About Dataset

**This dataset is collected by Datacluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: s*ales@datacluster.ai* **

This dataset is an extremely challenging set of over 2000+ original Indian Traffic Sign images captured and crowdsourced from over 400+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at DC Labs.

Dataset Features 1. Dataset size : 2000+ 2. Captured by : Over 400+ crowdsource contributors 3. Resolution : 100% of images HD and above (1920x1080 and above) 4. Location : Captured with 400+ cities accross India 5. Diversity : Various lighting conditions like day, night, varied distances, view points etc. 6. Device used : Captured using mobile phones in 2020-2021 7. Usage : Traffic sign detection, Self-driving systems, traffic detection, sign detection, etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.

The religious dataset consisting of Hindu and Muslim hate comments from Bangladesh and India in the Bangla language is a collection of online comments that contain religious hate speech targeting either the Hindu or Muslim communities. These comments were gathered from various sources such as newspapers, social media platforms, and online forums. The purpose of collecting this data is to analyze the prevalence of religious intolerance, identify patterns in hate speech, and contribute to the development of tools for automatically detecting and mitigating such content.

Key Features of the Dataset: Source and Collection:

Comments were sourced from both Bangladesh and India, reflecting religious sentiments in these neighboring countries where tensions between religious groups have often been a social issue. Sources include Bangla-language social media, news articles, opinion pieces, and comments sections on websites.

Content: The dataset contains a mix of both Hindu-targeted hate speech and Muslim-targeted hate speech, with derogatory, offensive, and inflammatory remarks based on religion. Hate comments include stereotypical statements, incitement to violence, communal hatred, and discriminatory language directed at members of the opposing community.

Purpose and Use Cases: Hate Speech Detection: This dataset is useful for developing machine learning models that can automatically identify and flag harmful content on social media platforms. Social Science Research: Researchers can study the psychological and sociopolitical factors that drive such hate speech. Policy and Moderation Tools: Governments, social media platforms, and civil society organizations can use insights from this dataset to design anti-hate speech policies and create moderation systems that reduce online hate.

Challenges: Contextual Nuances: Understanding the cultural and religious context of Bangla comments is crucial for accurately identifying hate speech. A comment that might seem neutral in one context could be deeply offensive in another. Code-Switching: Some comments might mix Bangla with English or regional languages, complicating the classification and sentiment analysis process. Bias in Data: The dataset might reflect a certain level of social bias depending on the region from which it was collected, which needs to be addressed when training AI models.

Conclusion: This dataset offers valuable insights into the dynamics of religious hate speech in Bangladesh and India, two countries with diverse religious populations and a history of interfaith tension. It can help in the development of tools for mitigating online hate speech, while also fostering better understanding and tolerance across religious communities.