In 2021, there were 1.21 billion monthly active users of Meta's Instagram, making up over 28 percent of the world's internet users. By 2025, it has been forecast that there will be 1.44 billion monthly active users of the social media platform, which would account for 31.2 percent of global internet users.

How popular is Instagram?

Instagram, as of January 2022, was the fourth most popular social media platform in the world in terms of user numbers. YouTube and WhatsApp ranked in second and third place, respectively, whilst Facebook remained the most popular, with almost three billion monthly active users worldwide.

India had the largest number of Instagram users as of January 2022, with a total of over 230 million users in the country. The second-largest Instagram audience could be found in the United States, with almost 160 million people subscribing to the photo and video sharing app.

Gen Z and Instagram

As of September 2021, Gen Z users in the United States spent an average of five hours per week on Instagram. Although Instagram ranked third in terms of hours per week spent on the platform, Gen Z users spent considerably more time on TikTok, amounting to a weekly average of over 10 hours being spent on the mobile-first video app.

Most followed accounts on Instagram

As of May 2022, Instagram’s own account had 504.37 million followers. In terms of celebrities, Portuguese footballer Cristiano Ronaldo (@chistiano) had over 440.41 million followers on the social network. Moreover, the average media value of an Instagram post by Ronaldo was over 985,000 U.S. dollars.

The most liked post on Instagram as of May 2022 was Photo of an Egg, which was posted in 2019 by the account @world_record_egg. Photo of an Egg has not only exceeded 55 million likes on the platform, but it also has nearly 3.5 million comments, and the account itself has over 4.5 million Instagram followers. After mysterious posts published by the account, World Record Egg revealed itself as part of a mental health campaign aimed at the difficulties and demands of using social media.

Access detailed insights with our Instagram datasets, featuring follower counts, verified status, account types, and engagement scores. Explore post information including URLs, descriptions, hashtags, comments, likes, media, posting dates, locations, and reel URLs. Perfect for understanding user engagement and content trends to drive informed decisions and optimize your social media strategies. Over 750M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Account Fbid Id Followers Posts Count Is Business Account Is Professional Account Is Verified Avg Engagement External Url Biography Business Category Name Category Name Post Hashtags Following Posts Profile Image Link Profile URL Profile Name Highlights Count Highlights Full Name Is Private Bio Hashtags URL Is Joined Recently And much more

As of October 2025, India had the largest Instagram audience worldwide, with 480.55 million users. The United States ranked second with 181.75 million users, followed by Brazil with 147 million. However, Turkey recorded the highest audience reach, with 92.1 percent of its population using the platform. It took Instagram 11.2 years to reach the milestone of 2 billion monthly active users worldwide. Instagram’s demographics in the United States As of March 2025, Instagram was the fourth most visited social media service in the United States, after Facebook, Pinterest and X. Out of TikTok, Instagram and Snapchat, TikTok was the most used of all three platforms by Generation Z. Overall, 57 percent of Gen Z social media users used Instagram in 2021, down from 61 percent in 2020 and 64 percent in 2019. Instagram finds most popularity with those in the 25 to 34 year age group, and as of January 2025, roughly 28.3 of all users in the United States belonged to this age group. The social media app was also more likely to be used by women. Most followed accounts on Instagram Instagram’s official account had the most followers as of April 2024 with over 672 million followers. Manchester United forward Cristiano Ronaldo (@cristiano) had over 628 million followers on the platform, while the Argentinian footballer Lionel Messi (@leomessi) had over 502 million followers. The Instagram accounts of the American singer and actress Selena Gomez (@selenagomez) and the media personality and makeup mogul Kylie Jenner (@kyliejenner) had over 400 million followers each.

data Source - https://statso.io/instagram-reach-analysis-case-study/

Certainly! Let's conduct a case study on Instagram reach analysis. To make the case study more specific, let's imagine a scenario where a fashion brand called "Fashionista" wants to analyze the reach of their Instagram account over the past six months.

Objective: Analyze the reach of Fashionista's Instagram account and identify trends, patterns, and insights that can help improve their reach and engagement.

Steps for the Instagram Reach Analysis:

1. Data Collection:

   • Gather data from Fashionista's Instagram account for the past six months.
   • Collect metrics such as follower count, post reach, impressions, likes, comments, and engagement rate.
   • Use Instagram's built-in analytics or third-party tools like Iconosquare or Sprout Social to retrieve the necessary data.

2. Define Key Metrics:

   • Identify the key metrics that will help assess the reach of Fashionista's Instagram account.
   • Key metrics may include follower growth rate, average reach per post, total impressions, engagement rate, and engagement per post.

3. Analyze Follower Growth:

   • Plot the follower count over the past six months to observe any trends.
   • Calculate the follower growth rate to understand the rate at which the account is gaining or losing followers.
   • Look for any significant changes in follower count and investigate potential reasons behind those changes.

4. Evaluate Post Reach and Impressions:

   • Analyze the average reach per post and total impressions to understand the reach of Fashionista's content.
   • Identify posts with the highest and lowest reach and compare their characteristics.
   • Look for patterns or themes that resonate well with the audience and those that underperform.

5. Assess Engagement:

   • Calculate the average engagement rate and compare it across different types of content (e.g., images, videos, stories, reels).
   • Identify posts with the highest engagement rate and analyze their content, captions, and hashtags.
   • Look for patterns or elements that encourage higher engagement from the audience.

6. Identify Optimal Posting Times:

   • Analyze the data to identify the days and times when Fashionista's posts receive the highest reach and engagement.
   • Experiment with posting at different times and measure the impact on reach and engagement.

7. Monitor Competitors:

   • Analyze the reach and engagement of Fashionista's competitors' Instagram accounts.
   • Identify strategies or content types that work well for competitors and consider adopting similar approaches if relevant.

8. Generate Insights and Recommendations:

   • Summarize the findings from the analysis and identify key insights and trends.
   • Recommend strategies to improve Fashionista's Instagram reach based on the insights obtained.
   • Provide actionable recommendations such as optimizing content, using relevant hashtags, collaborating with influencers, or running Instagram ads.

By conducting a thorough analysis of Fashionista's Instagram reach, you'll gain valuable insights into their audience's behavior, content performance, and engagement patterns. These insights can help guide future content strategies and optimize reach and engagement on Instagram.

Back in 2010, few could have predicted that a simple photo-sharing app would evolve into one of the world’s most influential platforms. Fast forward to 2025, and Instagram has become a digital cornerstone for creators, businesses, and consumers alike. From driving brand awareness to creating viral trends overnight, followers are...

Data Type: Instagram Account Posts Data

Fields: 1. owner_id: Integer (Unique identifier for the owner of the Instagram account) 2. owner_username: String (Username of the owner of the Instagram account) 3. shortcode: String (Unique identifier for the post) 4. is_video: Boolean (Indicator if the post is a video or not) 5. caption: String (Caption text accompanying the post) 6. comments: Integer (Number of comments on the post) 7. likes: Integer (Number of likes on the post) 8. created_at: Integer (Timestamp indicating the creation time of the post) 9. location: String (Location associated with the post, if any) 10. imageUrl: String (URL of the image associated with the post) 11. multiple_images: Boolean (Indicator if the post contains multiple images) 12. username: String (Username of the Instagram account) 13. followers: Integer (Number of followers of the Instagram account) 14. following: Integer (Number of accounts the Instagram account is following)

The data was last updated Feb 2024.

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.

As of July 2025, almost 33.3 percent of global Instagram audiences were aged between 25 and 34 years, and 29.7 percent of users were aged between 18 and 24 years. Overall, 17.4 percent of users belonged to the 35 to 44-year-old age group. Instagram users With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo-sharing app is especially popular in India and in the United States, which have about 480 million and 181 million Instagram users each. Instagram features One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream, and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo-sharing app that initially became famous due to its “vanishing photos” feature. As of the third quarter of 2025, Snapchat had 477 million daily active users.

On a rainy afternoon in 2010, a humble photo of a dog became the first image ever uploaded to what would soon become a global phenomenon, Instagram. Fast forward to 2025, and what began as a simple photo-sharing app is now a digital ecosystem fueling businesses, trends, and social movements...

Cristiano Ronaldo has *** of the most popular Instagram accounts as of June 2025. The Portuguese footballer is the most-followed person on the photo sharing app platform with *** million followers. Instagram's own account was ranked first with roughly *** million followers. How popular is Instagram? Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached *** billion monthly active users in mid-2018. In 2020, there were over *** million Instagram users in the United States and experts project this figure to surpass *** million users in 2023. Who uses Instagram? Instagram audiences are predominantly young – recent data states that almost ** percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States. Celebrity influencers on Instagram Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was ******* U.S. dollars.

Instagram data-download example dataset

In this repository you can find a data-set consisting of 11 personal Instagram archives, or Data-Download Packages (DDPs).

How the data was generated

These Instagram accounts were all new and generated by a group of researchers who were interested to figure out in detail the structure and variety in structure of these Instagram DDPs. The participants user the Instagram account extensively for approximately a week. The participants also intensively communicated with each other so that the data can be used as an example of a network.

The data was primarily generated to evaluate the performance of de-identification software. Therefore, the text in the DDPs particularly contain many randomly chosen (Dutch) first names, phone numbers, e-mail addresses and URLS. In addition, the images in the DDPs contain many faces and text as well. The DDPs contain faces and text (usernames) of third parties. However, only content of so-called `professional accounts' are shared, such as accounts of famous individuals or institutions who self-consciously and actively seek publicity, and these sources are easily publicly available. Furthermore, the DDPs do not contain sensitive personal data of these individuals.

Obtaining your Instagram DDP

After using the Instagram accounts intensively for approximately a week, the participants requested their personal Instagram DDPs by using the following steps. You can follow these steps yourself if you are interested in your personal Instagram DDP.

1. Go to www.instagram.com and log in
2. Click on your profile picture, go to Settings and Privacy and Security
3. Scroll to Data download and click Request download
4. Enter your email adress and click Next
5. Enter your password and click Request download

Instagram then delivered the data in a compressed zip folder with the format username_YYYYMMDD.zip (i.e., Instagram handle and date of download) to the participant, and the participants shared these DDPs with us.

Data cleaning

To comply with the Instagram user agreement, participants shared their full name, phone number and e-mail address. In addition, Instagram logged the i.p. addresses the participant used during their active period on Instagram. After colleting the DDPs, we manually replaced such information with random replacements such that the DDps shared here do not contain any personal data of the participants.

How this data-set can be used

This data-set was generated with the intention to evaluate the performance of the de-identification software. We invite other researchers to use this data-set for example to investigate what type of data can be found in Instagram DDPs or to investigate the structure of Instagram DDPs. The packages can also be used for example data-analyses, although no substantive research questions can be answered using this data as the data does not reflect how research subjects behave `in the wild'.

Authors

The data collection is executed by Laura Boeschoten, Ruben van den Goorbergh and Daniel Oberski of Utrecht University. For questions, please contact l.boeschoten@uu.nl.

Acknowledgments

The researchers would like to thank everyone who participated in this data-generation project.

Instagram is an American photo and video sharing social networking service founded in 2010 by Kevin Systrom and Mike Krieger, and later acquired by American company Facebook Inc., now known as Meta Platforms. The app allows users to upload media that can be edited with filters and organized by hashtags and geographical tagging. Posts can be shared publicly or with preapproved followers. Users can browse other users' content by tag and location, view trending content, like photos, and follow other users to add their content to a personal feed.

Instagram network is very much used to influence people (the users followers) in a particular way for a specific issue - which can impact the order in some ways.

Data Dictionary

Fake Instagram Profile Detection Dataset This dataset is designed for training and evaluating machine learning models to detect fake Instagram profiles. It contains various features extracted from Instagram user profiles, such as username characteristics, profile descriptions, follower counts, and engagement metrics. The dataset can be used for classification tasks to identify whether a profile is real or fake.

Dataset Features Profile Picture Availability: Whether the user has a profile picture. Numerical Ratio in Username: The proportion of numbers in the username. Full Name Analysis: Number of words in the full name and its numerical ratio. Username and Name Matching: Whether the username and full name are identical. Description Length: Number of characters in the user’s bio/description. External URL Presence: Whether the profile contains an external link. Account Privacy: Indicates whether the profile is private or public. Post Count: Total number of posts uploaded by the user. Follower Count: Number of followers the user has. Following Count: Number of accounts the user follows. Label Information The dataset is labeled to classify profiles as either fake (1) or real (0) based on the given features. Probability scores are also provided for classification.

Use Cases Machine learning classification models for fake profile detection. Exploratory data analysis on Instagram profile patterns. Feature engineering and data preprocessing for social media fraud detection. This dataset can Only be used by students and researchers working on cybersecurity not for production, social media analysis, and artificial intelligence applications.

As of March 2024, Instagram posts from accounts with between 2,001 to 10,000 followers reached an average of ****** users. Overall, medium accounts' stories reached ****** users, while reels reached ***** Instagram users.

Instagram Accounts

This is a list of the top 50 accounts with most followers on the photo and video-sharing social platform Instagram. As of 4 January 2023 the most-followed person is Portuguese footballer Cristiano Ronaldo with over 530 million followers, and the most-followed woman is American reality television personality Kylie Jenner with over 377 million followers. Instagram's own brand account on the platform is the most-followed account overall, with over 587 million followers. Nike is the second most-followed brand account, with over 261 million followers. A total of 35 accounts have exceeded 100 million followers on the platform, with 20 of those having exceeded 200 million followers, 8 of those having exceeded 300 million, 3 exceeding 400 million and 2 exceeding 500 million.

Cristiano Ronaldo is the most-followed person on Instagram, with over 530 million followers.

Kylie Jenner is the most-followed woman on Instagram, with over 377 million followers.

Virat Kohli is the most-followed Asian on Instagram, with over 231 million followers.

This dataset is collected from my Instagram account: amankharwal.official. It can be used to analyze the reach of posts on Instagram and understand how Instagram's algorithm works. Below are all the columns in this dataset:

1. Impressions: Number of impressions in a post (Reach)
2. From Home: Reach from home
3. From Hashtags: Reach from Hashtags
4. From Explore: Reach from Explore
5. From Other: Reach from other sources
6. Saves: Number of saves
7. Comments: Number of comments
8. Shares: Number of shares
9. Likes: Number of Likes
10. Profile Visits: Numer of profile visits from the post
11. Follows: Number of Follows from the post
12. Caption: Caption of the post
13. Hashtags: Hashtags used in the post

The Instagram Reach Forecasting dataset contains data on the reach of Instagram posts for a period of 100 days. The data includes the following features:

Post ID: The unique identifier for each post. Date: The date the post was published. Reach: The number of people who saw the post. Engagement: The number of likes, comments, and shares the post received. Hashtags: The hashtags used in the post. User Count: The number of users who follow the account that published the post. Category: The category of the post (e.g., food, travel, fashion). This dataset can be used to train machine learning models to forecast the reach of Instagram posts. This information can be used by businesses and individuals to optimize their Instagram marketing campaigns.

Here are some of the ways this dataset can be used:

Businesses: Businesses can use this dataset to forecast the reach of their Instagram posts and optimize their marketing campaigns. For example, a business could use this data to determine which hashtags are most effective at reaching their target audience. Individuals: Individuals can use this dataset to track their own Instagram reach and improve their social media strategy. For example, an individual could use this data to determine which times of day they should post to get the most reach.

Instagram data serves as the perfect tool for finding your target audience and enhancing your marketing strategy. First, you are working with the wealth of data provided by social media platforms. Businesses can don a detective cap with insights into consumer trends by data analysis on Instagram. Measure the success of influencer marketing campaigns. It also helps businesses engage their audience, know what type of content people are engaging with, and understand which demographics respond well to their messages so they can be specific with their marketing messages. In addition, data from Instagram helps businesses keep an eye on the activities of their competitors, keep track of brand mentions, and measure the impact of their social media campaigns. Utilizing this rich resource allows businesses to enhance customer interaction, foster increased brand loyalty, and ultimately stimulate commercial success. It is available on List To Data. Instagram number databases are a game-changer for marketers aiming to reach their audience effectively. They offer essential insights such as user profiles and engagement metrics. With more than 2 billion active users on Instagram globally, there’s a treasure trove of data to tap into. By utilizing this information, you can craft focused campaigns that make an impact. An Instagram number database gives you access to a comprehensive list of active users, enabling you to tailor your messages and boost engagement. Plus, these databases are frequently updated, providing you with fresh contacts for your marketing initiatives. Dive into an Instagram number database today and take your marketing strategy from List To Data.

According to a survey conducted in Indonesia in 2019, **** percent of the respondents stated that they followed the Instagram accounts of their school or college friends. The second-most followed type of Instagram accounts by **** percent of the respondents were those of family members. Instagram is popular among Indonesians, and their local celebrities and Instagram influencers have millions of followers.

Description:

The "Daily Social Media Active Users" dataset provides a comprehensive and dynamic look into the digital presence and activity of global users across major social media platforms. The data was generated to simulate real-world usage patterns for 13 popular platforms, including Facebook, YouTube, WhatsApp, Instagram, WeChat, TikTok, Telegram, Snapchat, X (formerly Twitter), Pinterest, Reddit, Threads, LinkedIn, and Quora. This dataset contains 10,000 rows and includes several key fields that offer insights into user demographics, engagement, and usage habits.

Dataset Breakdown:

• Platform: The name of the social media platform where the user activity is tracked. It includes globally recognized platforms, such as Facebook, YouTube, and TikTok, that are known for their large, active user bases.

• Owner: The company or entity that owns and operates the platform. Examples include Meta for Facebook, Instagram, and WhatsApp, Google for YouTube, and ByteDance for TikTok.

• Primary Usage: This category identifies the primary function of each platform. Social media platforms differ in their primary usage, whether it's for social networking, messaging, multimedia sharing, professional networking, or more.

• Country: The geographical region where the user is located. The dataset simulates global coverage, showcasing users from diverse locations and regions. It helps in understanding how user behavior varies across different countries.

• Daily Time Spent (min): This field tracks how much time a user spends on a given platform on a daily basis, expressed in minutes. Time spent data is critical for understanding user engagement levels and the popularity of specific platforms.

• Verified Account: Indicates whether the user has a verified account. This feature mimics real-world patterns where verified users (often public figures, businesses, or influencers) have enhanced status on social media platforms.

• Date Joined: The date when the user registered or started using the platform. This data simulates user account history and can provide insights into user retention trends or platform growth over time.

Context and Use Cases:

• This synthetic dataset is designed to offer a privacy-friendly alternative for analytics, research, and machine learning purposes. Given the complexities and privacy concerns around using real user data, especially in the context of social media, this dataset offers a clean and secure way to develop, test, and fine-tune applications, models, and algorithms without the risks of handling sensitive or personal information.

Researchers, data scientists, and developers can use this dataset to:

• Model User Behavior: By analyzing patterns in daily time spent, verified status, and country of origin, users can model and predict social media engagement behavior.

• Test Analytics Tools: Social media monitoring and analytics platforms can use this dataset to simulate user activity and optimize their tools for engagement tracking, reporting, and visualization.

• Train Machine Learning Algorithms: The dataset can be used to train models for various tasks like user segmentation, recommendation systems, or churn prediction based on engagement metrics.

• Create Dashboards: This dataset can serve as the foundation for creating user-friendly dashboards that visualize user trends, platform comparisons, and engagement patterns across the globe.

• Conduct Market Research: Business intelligence teams can use the data to understand how various demographics use social media, offering valuable insights into the most engaged regions, platform preferences, and usage behaviors.

• Sources of Inspiration: This dataset is inspired by public data from industry reports, such as those from Statista, DataReportal, and other market research platforms. These sources provide insights into the global user base and usage statistics of popular social media platforms. The synthetic nature of this dataset allows for the use of realistic engagement metrics without violating any privacy concerns, making it an ideal tool for educational, analytical, and research purposes.

The structure and design of the dataset are based on real-world usage patterns and aim to represent a variety of users from different backgrounds, countries, and activity levels. This diversity makes it an ideal candidate for testing data-driven solutions and exploring social media trends.

Future Considerations:

As the social media landscape continues to evolve, this dataset can be updated or extended to include new platforms, engagement metrics, or user behaviors. Future iterations may incorporate features like post frequency, follower counts, engagement rates (likes, comments, shares), or even sentiment analysis from user-generated content.

By leveraging this dataset, analysts and data scientists can create better, more effective strategies ...