The content summarization for video AI market size is expected to see exponential growth in the next few years. It will grow to $6.54 billion in 2030 at a compound annual growth rate (CAGR) of 24.8%. The growth in the forecast period can be attributed to increasing enterprise demand for faster video decision-making, rising investments in AI-powered media analytics, expansion of real-time video monitoring use cases, growing adoption of edge AI devices, increasing focus on scalable video intelligence platforms. Major trends in the forecast period include increasing adoption of automated video highlight generation, rising use of real-time video content indexing, growing demand for personalized video summaries, expansion of speech-to-text based video insights, enhanced focus on edge-based video processing.
The rapid expansion of video content volumes is expected to accelerate the growth of the content summarization for video artificial intelligence market going forward. Video content volumes refer to the overall quantity of video material produced or available across platforms, measured in hours, titles, or episodes. The sharp rise in video content is driven by growing digital consumption, as increased screen time and widespread streaming adoption encourage platforms to continuously produce and upload content to meet user demand. Content summarization for video artificial intelligence supports this expansion by automatically generating concise previews and highlights, enabling platforms to manage, process, and publish large volumes of video content more efficiently. For example, in 2026, according to the ROI Growth Agency, an Australia-based digital marketing firm, there were 26.3 million internet users, with over six hours of average daily online usage, 129% mobile penetration, and internet access consistently exceeding 97% since 2023. Therefore, the rapid expansion of video content volumes is strengthening the growth of the content summarization for video AI market.
Key companies operating in the content summarization for video artificial intelligence market are emphasizing technological innovation, such as AI-powered narrative recap generation, to strengthen their competitive position. AI-powered narrative recap generation is a video AI capability that automatically analyzes visual scenes, spoken dialogue, and contextual metadata to identify key storyline elements and major events. For instance, in November 2025, Amazon Prime Video, a US-based streaming platform, introduced its Video Recaps feature powered by generative AI, designed to analyze episodes and extract essential storyline moments. The technology automatically compiles key scenes into cinematic recaps, enhanced with synchronized voiceover narration, dialogue segments, and background music. This feature allows viewers to quickly refresh their understanding of complex or multi-season narratives without watching full episodes. By offering concise, context-aware video summaries, the solution reduces time barriers for viewers while improving engagement, discoverability, and continued content consumption across streaming platforms.
In September 2025, Minute Media, a US-based digital media and sports content technology company, acquired VideoVerse for an undisclosed amount. This acquisition enables Minute Media to strengthen its automated video creation capabilities by incorporating VideoVerse’s AI-powered highlight detection and clipping technology, helping accelerate content production, boost audience engagement, and broaden service offerings. VideoVerse is a US-based provider of AI-driven video solutions that deliver automated sports highlight generation and real-time video clipping by identifying key moments within video content for digital distribution.
Major companies operating in the content summarization for video AI market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, Nvidia Corporation, Salesforce Inc, Adobe Inc., OpenAI, Zoom Video Communications, Canva Pty Ltd., Anthropic PBC, Otter.ai, Synthesia, Jasper AI, AssemblyAI, Descript, Deepgram, Clarifai, InVideo, Notta, Munch, Wordtune, Pictory, and ScreenApp.
Tariffs are impacting the content summarization for video artificial intelligence market by increasing the cost of imported GPUs, AI accelerators, video processing servers, storage systems, and networking hardware used in data centers and edge deployments. Enterprises and media companies in North America and Europe are most affected due to reliance on imported high-performance computing infrastructure, while Asia-Pacific faces cost pressures on hardware manufacturing and exports. These tariffs are raising infrastructure investment costs and slowing large-scale deployment of video AI platforms. However, they are also encouraging local manufacturing of AI hardware, regional data center expansion, and greater optimization of software-based video summarization solutions.
The content summarization for video AI market research report is one of a series of new reports that provides content summarization for video AI market statistics, including content summarization for video AI industry global market size, regional shares, competitors with a content summarization for video AI market share, detailed content summarization for video AI market segments, market trends and opportunities, and any further data you may need to thrive in the content summarization for video AI industry. This content summarization for video AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Content summarization for video artificial intelligence (AI) refers to AI-driven solutions that automatically evaluate video content to produce brief summaries or key highlights. It uses computer vision, natural language processing, and audio analytics to detect important scenes, conversations, and events within video files. It helps reduce viewing time, enhance accessibility, and support quicker decision-making by delivering concise video insights.
The main components of content summarization for video artificial intelligence (AI) include software and services. Software refers to AI-driven platforms that use computer vision, natural language processing, machine learning, deep learning, and speech recognition to automatically analyze video content and generate summaries, highlights, or key insights. Solutions are deployed through cloud and on-premises modes. Technologies include computer vision, natural language processing, machine learning and deep learning, and speech recognition. Content summarization solutions are distributed through direct sales, channel partners and system integrators, cloud marketplaces, software as a service (SaaS) subscriptions, and embedded licensing. End users include individuals, enterprises, educational institutions, media companies, and other sectors.
The content summarization for video artificial intelligence (AI) market consists of revenues earned by entities by providing services such as automated video summarization and highlight generation, real-time video content analysis and indexing, speech-to-text transcription with key insight extraction, personalized video summaries, and recommendation services. The market value includes the value of related goods sold by the service provider or included within the service offering. The content summarization for video artificial intelligence (AI) market includes sales of accelerators, artificial intelligence (AI) servers, video processing servers, edge artificial intelligence (AI) devices, network attached storage systems, data center racks, and video capture cards. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Content Summarization for Video AI Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses content summarization for video AI market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for content summarization for video AI? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The content summarization for video AI market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment Mode: Cloud; On-Premises
3) By Technology: Computer Vision; Natural Language Processing; Machine Learning and Deep Learning; Speech Recognition
4) By Sales Channel: Direct Sales; Channel Partners and System Integrators; Cloud Marketplace and Software As A Service (SaaS) Subscriptions; Embedded Licensing
5) By End-User: Individual; Enterprises; Educational Institutions; Media Companies; Other End-Users
Subsegments:
1) By Software: Video Analysis and Processing Software; Natural Language Processing Software; Automated Summarization Software; Scene Detection and Highlight Extraction Software; Application Programming Interface Integration Software2) By Services: Platform Integration and Deployment Services; Model Training and Customization Services; Maintenance and Support Services; Managed Video Artificial Intelligence (AI) Services; Consulting and Advisory Services
Companies Mentioned: Amazon Web Services Inc.; Google LLC; Microsoft Corporation; Nvidia Corporation; Salesforce Inc; Adobe Inc.; OpenAI; Zoom Video Communications; Canva Pty Ltd.; Anthropic PBC; Otter.ai; Synthesia; Jasper AI; AssemblyAI; Descript; Deepgram; Clarifai; InVideo; Notta; Munch; Wordtune; Pictory; and ScreenApp.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Content Summarization for Video AI market report include:- Amazon Web Services Inc.
- Google LLC
- Microsoft Corporation
- Nvidia Corporation
- Salesforce Inc
- Adobe Inc.
- OpenAI
- Zoom Video Communications
- Canva Pty Ltd.
- Anthropic PBC
- Otter.ai
- Synthesia
- Jasper AI
- AssemblyAI
- Descript
- Deepgram
- Clarifai
- InVideo
- Notta
- Munch
- Wordtune
- Pictory
- and ScreenApp.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | March 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 2.69 Billion |
| Forecasted Market Value ( USD | $ 6.54 Billion |
| Compound Annual Growth Rate | 24.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 24 |


