Meta Platforms released a new social media platform called Threads on 5th July 2023, which is available in over 100 countries, excluding the European Union. Within two hours of its release, two million users had signed up for Threads, and within 24 hours, 30 million people were on the new online network. As of July 10th, the number of sign-ups reached 100 million. Users can post up to 500 characters on Threads, and the service offers numerous features that are comparable to those on Twitter and is verified via users' Instagram accounts.

Time spent on Threads has dropped sharply since launch

As of the fourth quarter of 2024, Meta's Threads had approximately 275 million monthly active users (MAU), up from 200 million MAU in the third quarter of 2024. Just 24 hours after the release of Threads in July 2023, 30 million people were using the new network from Meta Platforms.

Here is a breakdown of how quickly people signed up for Threads...

As of February 2025, almost 29 percent of Threads users were aged between 25 and 34 years. Additionally, 20.36 percent of users were between the aged of 18 and 24 years. Threads was released in the summer of 2023 and is the fastest mobile app to reach 150 million downloads.

In this post, we will break down all of the latest Threads statistics and give you some insight into what the future looks like with Twitter vs Threads.

Introduction

Threads App Statistics: Since it launched in July 2023, Threads has re-invented rapid scale up in the social media space, achieving more than 320 million monthly active users and around 100 million daily active users just by January 2025. The platform has broken growth records since its beginning; claiming 2 million sign ups in just 2 hours and achieving 100 million registered users just 5 days later.

The growth did not stop there, users built from just over 320 million monthly active users to 350 million monthly active users according to Meta’s CEO Mark Zuckerberg in Q1 2025. While its daily usage numbers remain astronomically strong, the network is dealing with normal post-launch taper as it turns its attention to long term retention, and continued engagement, not just breath taking adoption. Threads now represents one of the fastest growing and most studied social apps of the post ChatGPT era as a key part of Meta’s text based eco-system.

Introduction

Threads App Statistics: Meta (formerly known as Facebook) launched the Threads app in 2023 as a new social network aimed at rivalling X (previously known as Twitter). It covers microblogging, fast updates, and interaction in a simpler manner. The application gained momentum very quickly, particularly because of its connection to Instagram, which Meta also owns.

On July 6th, 2023, Threads–a messaging platform with a Twitter-like interface–was released, giving rise to rivalry between Elon Musk and Mark Zuckerberg along with their supporters. Although Twitter enacted tough new regulations, Threads was introduced with fewer limitations, attracting millions of users within one hour after its launch. As Threads matured in 2024, questions about its revenue model and growth have become significant issues within the technology industry.

Hence, it’s important to understand how the app earns money due to the never-ending competition on social media. This article aims to look into the Threads App statistics for 2025, focusing on key figures, trends, and comparisons with other social networks.

As of February 2025, over 57 percent of Meta's Threads users were men. Threads was released in the summer of 2023 and is the fastest mobile app to reach 150 million downloads.

On 5th July 2023, Meta Platforms released Threads, a text-focused social media platform. Joining Meta's Family of Apps, Threads focuses on real-time conversations, giving users a similar experience to Twitter. Threads offers users 500 characters per post, in comparison to Twitter's 280 characters. However, for Twitter Blue subscribers, posts can be substantially longer. Threads users can also take advantage of longer video posts, and free verification through their Instagram accounts.

A bolt out of the (Twitter) blue

As the tech elite attempt to fill the Twitter-shaped hole that social media users are feeling since the platform’s recent changes, the company is offering users the chance to verify themselves on the platform. The famous blue check mark, once reserved for journalists, celebrities, and public figures, can be purchased for a monthly fee. As of April 2023, there 640 thousand people were subscribing to Twitter Blue, up from 290 thousand in February 2023.

Threads is off to a strong start

Creating a profile on Threads is easy for Meta product users who already have an Instagram account as the new and free-to-use platform is integrated into the widely used app. With around two billion monthly active users on Instagram, it is no surprise that Threads gained 30 million sign-ups within 24 hours of being launched. Although signing up for Threads is easy, quitting the platform is not so straightforward, as deleting a Threads account results in the deactivation of the linked Instagram account.

This dataset provides a collection of user reviews for the Threads mobile application from both the Google Play Store and the Apple App Store. It is designed to offer insights into user satisfaction, app performance, and to help identify emerging user patterns and sentiments. The data was gathered by scraping reviews from the respective app marketplaces.

Columns

• source: Indicates the origin of the review, such as 'Google Play' or 'App Store'.
• review_description: Contains the actual text of the review provided by the user.
• rating: Represents the numerical rating given by the user.
• review_date: Specifies the date when the review was submitted.

Distribution

The dataset is typically provided in a CSV file format. Specific row or record counts are not available for the entire dataset, but review counts are detailed for various rating ranges and daily periods. For instance, 15,559 reviews are rated between 4.80 and 5.00, while 11,338 reviews were recorded between 5th and 6th July 2023.

Usage

This dataset is ideal for: * Sentiment analysis to understand overall user sentiment towards the Threads app. * Investigating factors that lead to 1-star and 5-star ratings, offering insights into user satisfaction and dissatisfaction. * Evaluating the application's performance and identifying recurring themes in user feedback.

Coverage

The dataset's geographic scope is global, collecting reviews from users worldwide. The time range for the reviews spans from 6th July 2023 to 25th July 2023. The dataset was last updated on 26th July 2023. It captures feedback from users across two major mobile platforms, Google Play (92% of reviews) and Apple App Store (8% of reviews).

License

CC-BY-NC

Who Can Use It

• Data analysts and researchers interested in mobile app performance and user sentiment.
• App developers and product managers aiming to understand user feedback for app improvements.
• Organisations conducting market research on social media applications.

Dataset Name Suggestions

• Threads Mobile App Reviews 2023
• Instagram Threads User Feedback Dataset
• Threads App Store & Google Play Reviews
• Threads User Ratings and Sentiment Data

Attributes

Original Data Source: Threads, an Instagram app Reviews

As of July 21, 2023, Meta's Threads had around 13 million daily active users, down from 44 million DAU on July 7th, 2023. The new social network was launched on July 5, 2023, and within five days of its release, had amassed around 100 million signups.

According to a 2024 survey conducted in the United States, daily users of Bluesky were more likely to use YouTube, TikTok, and X daily. Overall, Threads users are more likely to use other Meta Platforms networks every day.

According to a 2024 survey conducted in the United States, Bluesky users were more likely than Threads users to say that AI would have at least a somewhat positive impact on their overall quality of life over the next ten years.

As of July 21, 2023, Twitter - now rebranded into X - counted approximately 106 million users who interacted with the app daily on Android. In comparison, Meta's latest product Threads counted around 13 million users engaging with the app on a daily basis.

Between July 3 and **, 2023, posts and online content related to the Threads social media app reached ***** million online users worldwide. Approximately ** million online users were reached by negative pieces of content about Threads, while *** million users were reached by positive pieces of content on the topic of social app Threads.

Overview

This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are users on https://math.stackexchange.com, and a hyperedge comes from users participating in a thread that lasts for at most 24 hours. The timestamps are the time of the post, but normalized so that the earliest post starts at 0.

Source of original data

Source: threads-math-sx dataset

References

If you use this data, please cite the following paper:

• Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.

Thread Measuring Equipment Market Outlook

The global thread measuring equipment market size was valued approximately at USD 1.3 billion in 2023 and is projected to reach about USD 2.1 billion by 2032, growing at a CAGR of 5.5% during the forecast period. The growth of this market is primarily driven by the increasing demand for precision in manufacturing processes across various industries, including automotive, aerospace, and oil & gas. As industries become more complex and require higher standards of quality and precision, the need for advanced thread measuring equipment is rising. This equipment ensures that threads are manufactured to exact specifications, reducing errors and improving overall product quality.

One of the key growth factors for the thread measuring equipment market is the rapid expansion of the automotive and aerospace industries. These sectors demand high precision and accuracy in thread measurement to ensure the proper functioning and safety of their products. For instance, in the aerospace industry, the correct measurement of threads is critical to the assembly and maintenance of aircraft components. Similarly, in the automotive sector, thread measuring equipment is crucial for the production of engines, gearboxes, and other key components, driving the demand for advanced measuring tools.

Another significant growth driver is the increasing adoption of automation and digitalization in manufacturing processes. The integration of advanced technologies such as the Internet of Things (IoT) and Industry 4.0 has led to the development of smart factories, where precision measurement tools play a vital role. Automated thread measuring equipment can provide real-time data and analytics, enabling manufacturers to monitor and control production processes more effectively. This not only enhances product quality but also reduces operational costs, further boosting the demand for these tools.

The growing emphasis on quality control and compliance with international standards is also propelling the market for thread measuring equipment. Industries such as oil & gas, manufacturing, and medical devices require stringent adherence to quality standards to ensure safety and reliability. Thread measuring equipment helps in maintaining these standards by providing accurate measurements and ensuring that products meet the required specifications. This trend is expected to continue, driving the growth of the market during the forecast period.

From a regional perspective, Asia Pacific is anticipated to witness significant growth in the thread measuring equipment market. The region's expanding manufacturing sector, particularly in countries like China and India, is a major contributor to this growth. Additionally, North America and Europe are expected to maintain steady demand due to their well-established aerospace and automotive industries. The Middle East & Africa and Latin America are also projected to experience moderate growth, driven by investments in industrial infrastructure and the oil & gas sector.

Product Type Analysis

The thread measuring equipment market is segmented by product type, which includes thread gauges, thread micrometers, thread calipers, optical comparators, and others. Thread gauges are one of the most widely used tools in this category. They are essential for checking the pitch and diameter of threads, ensuring that they meet specific standards and tolerances. The demand for thread gauges is particularly high in industries such as manufacturing and automotive, where precision and accuracy are paramount. Advances in material science and manufacturing technologies have also led to the development of more durable and accurate thread gauges, further boosting their adoption.

Thread micrometers are another critical segment in the thread measuring equipment market. These precision instruments are used to measure the pitch diameter of threads with high accuracy. They are indispensable in applications where even the slightest deviation can lead to significant issues, such as in aerospace and medical devices. The growing need for miniaturized and highly precise components in these industries is expected to drive the demand for thread micrometers during the forecast period. Additionally, innovations in digital micrometer technology, which offer features such as data storage and wireless connectivity, are making these tools even more attractive to end-users.

Thread calipers are also an essential tool for measuring the diameter and pitch of threads. They are commonly used in workshops and ma

This dataset provides details on Twitter threads, focusing on the engagement dynamics of individual tweets within a thread. It was compiled to explore the observed phenomenon where engagement metrics such as retweets, likes, and replies typically decrease with each subsequent tweet in a thread. The data offers insights into how users interact with multi-tweet content and can be used to analyse factors influencing engagement, potentially aiding in the development of strategies for optimising content on the platform. It also offers scope for Natural Language Processing (NLP) to understand how the context of a thread might affect engagement patterns.

Columns

• id: A unique identifier for each tweet.
• thread_number: An identifier used to group individual tweets belonging to the same thread.
• timestamp: The creation date and time of each tweet.
• text: The actual content of each tweet.
• retweets: The number of times each tweet was retweeted.
• likes: The number of times each tweet was liked.
• replies: The number of replies each tweet received.

Distribution

The dataset is organised into five distinct files, categorised by thread length: those with 5-10 tweets, 10-15 tweets, 15-20 tweets, 20-25 tweets, and 25-30 tweets. Each of these categories, or "bins," contains approximately 100 unique threads, resulting in around 500 threads in total. All files maintain an identical column structure. The dataset includes a substantial number of individual tweet records, with counts for different metrics like retweets and likes extending into the thousands across various value ranges. For example, there are 1,732 records with 0-63.4 likes and 1,695 records with 0-2026.7 retweets.

Usage

This dataset is ideal for: * Analysing engagement patterns within social media threads. * Conducting social science research on online communication behaviour. * Developing and testing hypotheses regarding content effectiveness on platforms like Twitter. * Exploring the influence of tweet content and context on user interaction using NLP techniques. * Informing content strategy and optimisation for social media managers and marketers.

Coverage

The dataset consists of tweets collected between October 2017 and May 2018. The data is global in scope, reflecting general Twitter activity. While no specific demographics are detailed, observations from the data collection suggest that the context or topic of threads (e.g., political vs. art threads) may influence engagement. The threads included were chosen solely based on their length, ranging from 5 to 30 tweets, irrespective of their content.

License

CC0

Who Can Use It

This dataset is suitable for: * Social media researchers and academics investigating online engagement and communication. * Data scientists and analysts performing quantitative analysis on social media data. * Marketing professionals seeking to understand and improve their social media content performance. * Natural Language Processing (NLP) practitioners interested in text analysis within a conversational context. * Students learning about data analysis and social media trends.

Dataset Name Suggestions

• Twitter Thread Engagement Analysis
• Social Media Thread Interaction Data
• Tweet Thread Dynamics Dataset
• Twitter Engagement Study

Attributes

Original Data Source: Twitter Threads