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Stock Video Market Size 2025-2029

The stock video market size is forecast to increase by USD 369.6 million at a CAGR of 7.7% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies in visual content creation. This trend is transforming the way businesses and media organizations produce engaging and high-quality content for their audiences. However, the high price point of stock videos remains a challenge for some, particularly smaller businesses and independent content creators. Despite this, the market's potential is vast, with opportunities in various sectors such as advertising, marketing, social media, and education. The integration of AI and ML in stock videos enables more personalized and targeted content, enhancing user experience and engagement. Companies seeking to capitalize on this market's opportunities should focus on offering affordable yet high-quality stock videos and exploring collaborations with AI and ML technology providers. Navigating the challenges effectively requires a deep of the market dynamics and staying updated on the latest trends and advancements.

What will be the Size of the Stock Video Market during the forecast period?

Request Free SampleThe market encompasses various elements, including image branding, visual marketing, and footage libraries. Businesses increasingly rely on video storytelling and content distribution to engage audiences. Post-production and production companies offer video animation, looping animations, and 360 degree videos, among other services. Image copyright and metadata management are crucial for effective visual search. Creative Commons images and video licensing agreements facilitate content usage. Product demos, wedding videography, and video branding are popular applications. Stock photography trends influence video content marketing, with high-quality footage and animated explainer videos being in demand. Virtual reality videos and video are emerging areas of interest. Video content strategy and distribution are essential for effective video advertising. Image search optimization and usage guidelines ensure legal and ethical use of visual content. Corporate and professional video production services provide customized solutions for businesses. Drone photography and motion graphics add depth to video content. The marketplace continues to evolve, offering a vast array of options for businesses seeking to enhance their visual content strategy.

How is this Stock Video Industry segmented?

The stock video industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationEditorialCommercialImage SourceMacrostockMicrostockLicense ModelRMRFTypeSubscriptionPay per downloadEnterprise licensingDistribution ChannelStock video platformsSocial media and creator platformsDirect sales and agenciesCloud-based video librariesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACIndiaJapanSouth KoreaMiddle East and AfricaSouth AmericaBrazil

By Application Insights

The editorial segment is estimated to witness significant growth during the forecast period.Stock videos play a significant role in various commercial applications, including advertising campaigns, television and film productions, branding and promotional videos, social media content, and website introductions. For stock videos used in commercial contexts, it's essential to obtain a model release from the videographer or artist for each person featured in the video. Model releases are legal documents granting permission for the likeness of individuals to be used commercially. The escalating spending on advertising and digital marketing has fueled the demand for stock videos. In addition to commercial applications, stock videos are also utilized in educational movies, corporate communications, and documentaries for non-commercial purposes. The use of stock footage in media production has become increasingly popular due to advancements in video production technology and the availability of high-quality, ultra-high resolution videos. Digital media platforms, such as social media, have revolutionized the way content is created, shared, and consumed. Stock video agencies, filmmakers, and individual creators offer their content on various platforms, including Adobe Stock, Getty Images, and Pexel. However, copyright infringement issues can arise when using unlicensed content, making it crucial to ensure proper licensing and attribution. Blockchain technology and AI are transforming the stock video industry by providing secure, decentralized platforms for content distribution and licensing. Drones and vertical formats, such as 4k and virtual r

YouTube keeps track of the most popular videos that are being seen on the site. Several months' worth of daily trending YouTube video statistics are included in this data set. Data for France and the USA are included. The videos on this list are those that users have liked and have received the most views, comments, and likes from other users. These videos are then displayed on the trending page. The greatest videos are shown at the top of the page by ranking these videos according to a ratio of views, likes, comments, and shares.

This dataset is a daily record of the top trending YouTube videos.

content: Data about daily trending YouTube videos for several months, and counting, is included in this dataset. Up to 200 trending videos are published each day, with data for the US and FR regions (the USA and France, respectively) included.

The Stock Footage Platform market has emerged as a pivotal resource for various industries, offering high-quality video content that caters to the diverse needs of filmmakers, content creators, advertisers, and social media managers. As businesses increasingly turn to visual storytelling to engage audiences, stock f

Explore the statistics for Photo & Video Services eCommerce in 2025, including store count by region and platform, estimated sales amount by platform and region, products sold by platform and region, and total app spend by platform and region. Gain insights into regional preferences, market penetration, consumer trends, and technological investments within the Photo & Video Services sector. Discover the leading regions and platforms, as well as the dynamics of sales and product volumes. Stay informed about the evolving landscape of Photo & Video Services online stores for a comprehensive understanding of the market.

Introduction

Video Marketing Statistics: Video marketing has emerged as a cornerstone of digital strategies, leveraging the power of visual content to engage audiences and drive business growth. As video consumption continues to rise, companies across various industries increasingly adopt video as a critical component of their marketing efforts. The statistics surrounding video marketing reflect its growing influence, with metrics highlighting the effectiveness of different video formats, audience preferences, and the impact on consumer behavior.

From how-to guides to thought leadership pieces, video marketing is an essential tool for brands looking to connect more dynamically and impactfully with their target audiences.

Over the last two observations, the number of users is forecast to significantly increase in all segments. However, it can be observed that the growth of all five segments slows down in the later stages of the forecast period. Explicitly, the segment Video Downloads (EST) registers the smallest increase in 2027, with a value of 0.2 million users. Find further statistics on other topics such as a comparison of the revenue change in the United States and a comparison of the number of users in Poland. The Statista Market Insights cover a broad range of additional markets.

The stock video market is a dynamic and rapidly evolving sector that serves as a crucial resource for content creators across various industries, including marketing, entertainment, education, and social media. As digital media consumption continues to rise, the demand for high-quality video content has surged, lead

1. Overview This dataset is a collection of 1,000+ footages of fire in multiple scenes that are ready to use for optimizing the accuracy of computer vision models. All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos. PIXTA is the largest platform of visual materials in the Asia Pacific region offering fully-managed services, high quality contents and data, and powerful tools for businesses & organisations to enable their creative and machine learning projects.

2. Use case The 1,000+ footages of fire in multiple scenes could be used for various AI & Computer Vision models: Fire Detection, Factory Alert System, Surveillance Camera System,... Each data set is supported by both AI and human review process to ensure labelling consistency and accuracy. Contact us for more custom datasets.

3. Annotation Annotation is available for this dataset on demand, including:

4. Video annotation

5. Classification

6. Segmentation ...

7. About PIXTA PIXTASTOCK is the largest Asian-featured stock platform providing data, contents, tools and services since 2005. PIXTA experiences 15 years of integrating advanced AI technology in managing, curating, processing over 100M visual materials and serving global leading brands for their creative and data demands. Visit us at https://www.pixta.ai/ or contact via our email contact@pixta.ai.

The rise of short-form social video content has sparked debate about its impact on traditional long-form viewing habits, with a 2024 survey revealing that younger generations in particular admit watching too much social video instead of premium TV shows and movies. Among 13 to 24-year-olds, 43 percent either strongly or somewhat agreed that they spend too much time on social video instead of viewing long-form content. In contrast, one in four respondents aged 35 and older shared this sentiment.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of motion picture and video production (NAICS 512110), annual, for five years of data.

According to a 2023 survey of video viewers in the United States, over *** in ** respondents aged between 18 and 24 reported that their favorite type of content was user generated ******, such as the ones hosted on TikTok, YouTube, or Instagram. In comparison, ** percent of respondents aged between 25 and 34 years reported social videos were the type of content they enjoyed the most.

According to a survey conducted among consumers worldwide, respondents watched an average of 19 hours of online video content per week in 2022. This represented an increase from 2021, when consumers watched 19 hours of online video content weekly.

The chart provides an insightful analysis of the estimated sales amounts for Photo & Video Services stores across various platforms. Custom Cart stands out, generating a significant portion of sales with an estimated amount of $4.02B, which is 77.72% of the total sales in this category. Following closely, WooCommerce accounts for $490.48M in sales, making up 9.47% of the total. Shopify also shows notable performance, contributing $409.49M to the total sales, representing 7.91%. This data highlights the sales dynamics and the varying impact of each platform on the Photo & Video Services market.

Use our YouTube Videos dataset to extract detailed information from public videos and filter by video title, views, upload date, or likes. Data points include video URL, title, description, thumbnail, upload date, view count, like count, comment count, tags, and more. You can purchase the entire dataset or a customized subset, tailored to your needs. Popular use cases for this dataset include trend analysis, content performance tracking, brand monitoring, and influencer campaign optimization.

This repository contains the data presented in Video-R1: Reinforcing Video Reasoning in MLLMs. Code: https://github.com/tulerfeng/Video-R1 Video data folder: CLEVRER, LLaVA-Video-178K, NeXT-QA, PerceptionTest, STAR Image data folder: Chart, General, Knowledge, Math, OCR, Spatial Video-R1-COT-165k.json is for SFT cold start, and Video-R1-260k.json is for RL training. Data Format in Video-R1-COT-165k: { "problem_id": 2, "problem": "What appears on the screen in Russian during the… See the full description on the dataset page: https://huggingface.co/datasets/Video-R1/Video-R1-data.

This includes an SPSS command file (.sps) that will execute, with comments, a series of descriptive statistics against the data file (.sav) that correspond to tables 1-5 in the manuscript *McCluskey, John and Craig Uchida (2023) "Video Data Analysis and Police Body-Worn Camera Footage" Sociological Methods and Research. The data are based on observers' assessments of BWC audio and video channels of LAPD officers' footage from encounters and events.

The syntax file should be run against the .sav file in the archive. The syntax is saved in the .txt file and should offer a guidance in how the results might be obtained in Excel or another program such as R or STATA using the CSV file stored here.

This dataset is a daily record of the top trending YouTube videos and it will be updated daily.

Context

YouTube maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”.

Note that this dataset is a structurally improved version of this dataset.

Content

This dataset includes several months (and counting) of data on daily trending YouTube videos. Data is included for the IN, US, GB, DE, CA, FR, RU, BR, MX, KR, and JP regions (India, USA, Great Britain, Germany, Canada, France, Russia, Brazil, Mexico, South Korea, and, Japan respectively), with up to 200 listed trending videos per day.

Each region’s data is in a separate file. Data includes the video title, channel title, publish time, tags, views, likes and dislikes, description, and comment count.

The data also includes a category_id field, which varies between regions. To retrieve the categories for a specific video, find it in the associated JSON. One such file is included for each of the 11 regions in the dataset.

For more information on specific columns in the dataset refer to the column metadata.

Acknowledgements

This dataset was collected using the YouTube API. This dataset is the updated version of Trending YouTube Video Statistics.

Inspiration

Possible uses for this dataset could include: - Sentiment analysis in a variety of forms - Categorizing YouTube videos based on their comments and statistics. - Training ML algorithms like RNNs to generate their own YouTube comments. - Analyzing what factors affect how popular a YouTube video will be. - Statistical analysis over time.

For further inspiration, see the kernels on this dataset!

The BBC Land Girls TV series is a 3 season series. Each season is 5 episodes of about 45mins each. The TRECVID group at NIST worked with the BBC Corp. to release the dataset to the research community to work on video understanding tasks. Unfortunately, the hosting arrangement for the dataset was not successful and the release of the video dataset couldn't be done. We are releasing the annotations conducted by NIST, without any video data, so that the researchers interested in working on knowledge graph understanding and natural language analysis can take advantage of them.

In February 2025, Alphabet was the most popular online video property in the United States, having accumulated over 255 million unique video viewers during the measured period. Comcast NBCUniversal ranked second with 224 million video viewers during the measured month.

Emotional Video Data,including multiple races, multiple indoor scenes, multiple age groups, multiple languages, multiple emotions (11 types of facial emotions, 15 types of inner emotions). For each sentence in each video, annotated emotion types (including facial emotions and inner emotions), start & end timestamp, text transcription.This dataset can be used for tasks such as emotion recognition and sentiment analysis, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.