Technology & Software Global On demand · 24-48h

Global Generative AI Video Editing Software Market Strategic Research Report

Global Generative AI Video Editing Software Market Strategic…

$3,500 USD

Strategic Research Report

Global Generative AI Video Editing Software Market

$1.47B2025

19.2%CAGR

2032Forecast

Market Research Reports · Global

Market Research Reports Intelligence Series

By Type: Cloud-Based AI Video Editing Software, Desktop AI Video Editing Software, API-Based AI Video Editing Software

By Application: Short Video Creation, Advertising Video Production, Film and TV Post-Production, Other

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: OpenAI, Runway, Adobe, Luma AI, Pika Labs, Synthesia, HeyGen, Descript, Google, InVideo, CapCut, VEED.io, Kapwing, Opus Clip, Baidu, Tencent, MiniMax, Meitu, ByteDance, Kuaishou Kling AI, Alibaba Tongyi, Zhipu AI, Wondershare, iFlytek, Shengshu Technology Vidu

Region: Global

Formats: PDF, Excel, Word & PowerPoint

Base year: 2025 · forecast to 2032

Length: 146 pages

Market size 2025

$1.47B

Billion USD

Forecast CAGR

19.2%

2025-2032

Forecast 2032

$5B

Projected

Regions

Asia Pacific · Latin America · MEA · Europe · North America

Overview

Scope of the Report

The global Generative AI Video Editing Software market size is predicted to grow from US$ 1,467 million in 2025 to US$ 4,986 million in 2032; it is expected to grow at a CAGR of 19.2% from 2026 to 2032.

The gross profit margin of major companies in the industry is between 65%–85%.

Generative AI Video Editing Software is a software product that uses generative models to create, edit, enhance, subtitle, translate, resize, stylize, and automate video content. It supports text-to-video, video enhancement, object removal, scene generation, voice editing, intelligent clipping, and workflow automation for creators, marketing teams, media companies, and enterprise users.

The industrial chain of Generative AI Video Editing Software covers upstream computing infrastructure, graphics processors, datasets, model frameworks, cloud platforms, storage, development tools, and content rights resources. The midstream consists of model training, software development, interface design, video processing optimization, security review, deployment, subscription management, and customer support. Downstream applications mainly include content creation, advertising, education, social media, film production, enterprise marketing, e-commerce, and digital media operations.

Global key Generative AI Video Editing Software players cover OpenAI, Runway, Adobe, Luma AI, Pika Labs, etc.

This report presents a comprehensive overview of the global Generative AI Video Editing Software market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

Cloud-Based AI Video Editing Software
Desktop AI Video Editing Software
API-Based AI Video Editing Software

Segment by Core Function

Text-to-Video Editing Software
AI Video Enhancement Software
AI Clip Generation Software

Segment by Output Resolution

Standard Resolution (≤1080p)
High Resolution (2K–4K)
Ultra-High Resolution (≥8K)

Segment by Application

Short Video Creation
Advertising Video Production
Film and TV Post-Production
Other

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Generative AI Video Editing Software market:

Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
Distributors, channel partners and end users in Short Video Creation, Advertising Video Production, Film and TV Post-Production evaluating demand and sourcing options
Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global Generative AI Video Editing Software Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports

Market size CAGR 19.2%

Regional growth momentum

Market share by segment

Key metrics

Base value

$1.47B

2025

Forecast

$5B

2032

CAGR

19.2%

2025–2032

Regions

global

Key companies

OpenAIRunwayAdobeLuma AIPika LabsSynthesiaHeyGenDescript

Segments covered in this report

By Type

Cloud-Based AI Video Editing SoftwareDesktop AI Video Editing SoftwareAPI-Based AI Video Editing Software

By Application

Short Video CreationAdvertising Video ProductionFilm and TV Post-ProductionOther

Click a chapter to expand

01Executive Summary

02Industry Overview & Forecast

2.1.1 Market Definition and Scope
2.1.2 Market Size and Growth Forecast
2.1.3 Volume Analysis
2.1.4 Segment Outlook by Type
2.1.5 Segment Outlook by Application
2.1.6 Regional Outlook
2.1.7 Structural Developments Shaping the Forecast
2.1.8 Forecast Risks and Sensitivities

03Market Segmentation by Type

3.1 Market Segmentation by Type
3.1.1 Market by Type Overview
3.1.2 Cloud-Based AI Video Editing Software
3.1.3 Desktop AI Video Editing Software
3.1.4 API-Based AI Video Editing Software
3.1.5 Volume Analysis

04Market Segmentation by Application

4.1 Market Segmentation by Application
4.1.1 Market by Application Overview
4.1.2 Short Video Creation
4.1.3 Advertising Video Production
4.1.4 Film and TV Post-Production
4.1.5 Other
4.1.6 Volume Analysis

05Regional Market Forecast

Asia Pacific
North America
Europe
Middle East & Africa
Latin America

06Country-Level Market Forecast

6.1 Asia Pacific
6.1.1 China
6.1.2 Japan
6.1.3 Korea
6.1.4 Southeast Asia
6.1.5 India
6.1.6 Australia
6.1.7 Rest of Asia Pacific
6.2 North America
6.2.1 United States
6.2.2 Canada
6.2.3 Mexico
6.2.4 Rest of North America
6.3 Europe
6.3.1 Germany
6.3.2 France
6.3.3 UK
6.3.4 Italy
6.3.5 Russia
6.3.6 Rest of Europe
6.4 Middle East & Africa
6.4.1 Egypt
6.4.2 South Africa
6.4.3 Israel
6.4.4 Turkey
6.4.5 GCC Countries
6.4.6 Rest of Middle East & Africa
6.5 Latin America
6.5.1 Brazil
6.5.2 Rest of Latin America

07Growth Drivers & Inhibitors

7.1 Growth Drivers & Inhibitors
7.1.1 Section Overview
7.1.2 Growth Drivers
7.1.3 Growth Inhibitors
7.1.4 Driver and Inhibitor Impact Assessment
7.1.5 Analyst Perspective

08Key Company Profiles

8.1 OpenAI
8.1.1 Company Overview
8.1.2 Key Products & Segments
8.1.3 Financial Performance (2023–2025)
8.1.4 Business Strategy
8.1.5 SWOT Analysis
8.1.6 Strategic Implications (2026–2032)
8.2 Runway
8.2.1 Company Overview
8.2.2 Key Products & Segments
8.2.3 Financial Performance (2023–2025)
8.2.4 Business Strategy
8.2.5 SWOT Analysis
8.2.6 Strategic Implications (2026–2032)
8.3 Adobe
8.3.1 Company Overview
8.3.2 Key Products & Segments
8.3.3 Financial Performance (2023–2025)
8.3.4 Business Strategy
8.3.5 SWOT Analysis
8.3.6 Strategic Implications (2026–2032)
8.4 Luma AI
8.4.1 Company Overview
8.4.2 Key Products & Segments
8.4.3 Financial Performance (2023–2025)
8.4.4 Business Strategy
8.4.5 SWOT Analysis
8.4.6 Strategic Implications (2026–2032)
8.5 Pika Labs
8.5.1 Company Overview
8.5.2 Key Products & Segments
8.5.3 Financial Performance (2023–2025)
8.5.4 Business Strategy
8.5.5 SWOT Analysis
8.5.6 Strategic Implications (2026–2032)
8.6 Synthesia
8.6.1 Company Overview
8.6.2 Key Products & Segments
8.6.3 Financial Performance (2023–2025)
8.6.4 Business Strategy
8.6.5 SWOT Analysis
8.6.6 Strategic Implications (2026–2032)
8.7 HeyGen
8.7.1 Company Overview
8.7.2 Key Products & Segments
8.7.3 Financial Performance (2023–2025)
8.7.4 Business Strategy
8.7.5 SWOT Analysis
8.7.6 Strategic Implications (2026–2032)
8.8 Descript
8.8.1 Company Overview
8.8.2 Key Products & Segments
8.8.3 Financial Performance (2023–2025)
8.8.4 Business Strategy
8.8.5 SWOT Analysis
8.8.6 Strategic Implications (2026–2032)
8.9 Google
8.9.1 Company Overview
8.9.2 Key Products & Segments
8.9.3 Financial Performance (2023–2025)
8.9.4 Business Strategy
8.9.5 SWOT Analysis
8.9.6 Strategic Implications (2026–2032)
8.10 InVideo
8.10.1 Company Overview
8.10.2 Key Products & Segments
8.10.3 Financial Performance (2023–2025)
8.10.4 Business Strategy
8.10.5 SWOT Analysis
8.10.6 Strategic Implications (2026–2032)
8.11 CapCut
8.11.1 Company Overview
8.11.2 Key Products & Segments
8.11.3 Financial Performance (2023–2025)
8.11.4 Business Strategy
8.11.5 SWOT Analysis
8.11.6 Strategic Implications (2026–2032)
8.12 VEED.io
8.12.1 Company Overview
8.12.2 Key Products & Segments
8.12.3 Financial Performance (2023–2025)
8.12.4 Business Strategy
8.12.5 SWOT Analysis
8.12.6 Strategic Implications (2026–2032)
8.13 Kapwing
8.13.1 Company Overview
8.13.2 Key Products & Segments
8.13.3 Financial Performance (2023–2025)
8.13.4 Business Strategy
8.13.5 SWOT Analysis
8.13.6 Strategic Implications (2026–2032)
8.14 Opus Clip
8.14.1 Company Overview
8.14.2 Key Products & Segments
8.14.3 Financial Performance (2023–2025)
8.14.4 Business Strategy
8.14.5 SWOT Analysis
8.14.6 Strategic Implications (2026–2032)
8.15 Baidu
8.15.1 Company Overview
8.15.2 Key Products & Segments
8.15.3 Financial Performance (2023–2025)
8.15.4 Business Strategy
8.15.5 SWOT Analysis
8.15.6 Strategic Implications (2026–2032)
8.16 Tencent
8.16.1 Company Overview
8.16.2 Key Products & Segments
8.16.3 Financial Performance (2023–2025)
8.16.4 Business Strategy
8.16.5 SWOT Analysis
8.16.6 Strategic Implications (2026–2032)
8.17 MiniMax
8.17.1 Company Overview
8.17.2 Key Products & Segments
8.17.3 Financial Performance (2023–2025)
8.17.4 Business Strategy
8.17.5 SWOT Analysis
8.17.6 Strategic Implications (2026–2032)
8.18 Meitu
8.18.1 Company Overview
8.18.2 Key Products & Segments
8.18.3 Financial Performance (2023–2025)
8.18.4 Business Strategy
8.18.5 SWOT Analysis
8.18.6 Strategic Implications (2026–2032)
8.19 ByteDance
8.19.1 Company Overview
8.19.2 Key Products & Segments
8.19.3 Financial Performance (2023–2025)
8.19.4 Business Strategy
8.19.5 SWOT Analysis
8.19.6 Strategic Implications (2026–2032)
8.20 Kuaishou Kling AI
8.20.1 Company Overview
8.20.2 Key Products & Segments
8.20.3 Financial Performance (2023–2025)
8.20.4 Business Strategy
8.20.5 SWOT Analysis
8.20.6 Strategic Implications (2026–2032)
8.21 Alibaba Tongyi
8.21.1 Company Overview
8.21.2 Key Products & Segments
8.21.3 Financial Performance (2023–2025)
8.21.4 Business Strategy
8.21.5 SWOT Analysis
8.21.6 Strategic Implications (2026–2032)
8.22 Zhipu AI
8.22.1 Company Overview
8.22.2 Key Products & Segments
8.22.3 Financial Performance (2023–2025)
8.22.4 Business Strategy
8.22.5 SWOT Analysis
8.22.6 Strategic Implications (2026–2032)
8.23 Wondershare
8.23.1 Company Overview
8.23.2 Key Products & Segments
8.23.3 Financial Performance (2023–2025)
8.23.4 Business Strategy
8.23.5 SWOT Analysis
8.23.6 Strategic Implications (2026–2032)
8.24 iFlytek
8.24.1 Company Overview
8.24.2 Key Products & Segments
8.24.3 Financial Performance (2023–2025)
8.24.4 Business Strategy
8.24.5 SWOT Analysis
8.24.6 Strategic Implications (2026–2032)
8.25 Shengshu Technology Vidu
8.25.1 Company Overview
8.25.2 Key Products & Segments
8.25.3 Financial Performance (2023–2025)
8.25.4 Business Strategy
8.25.5 SWOT Analysis
8.25.6 Strategic Implications (2026–2032)

09Competitive Landscape

9.1 Competitive Landscape Overview
9.2 Competitive Intensity Assessment
9.3 Key Player Strategies & Positioning
9.4 Competitive Dynamics & Strategic Outlook
9.4.1 Emerging Competitive Threats
9.4.2 Consolidation vs. Fragmentation Outlook
9.4.3 Competitive Response Matrix
9.4.4 Strategic Recommendations, 2026–2032

10Porter's Five Forces Analysis

10.1 Threat of New Entrants
10.2 Bargaining Power of Buyers
10.3 Bargaining Power of Suppliers
10.4 Threat of Substitutes
10.5 Competitive Rivalry

11PESTLE Analysis

11.1 Political
11.2 Economic
11.3 Social and Demographic
11.4 Technological
11.5 Legal and Regulatory
11.6 Environmental
11.7 Strategic Implications of the PESTLE Assessment

12SWOT Analysis

13Future Trends & Outlook

13.1 Future Trends & Outlook
13.1.1 Trend Summary and Commercial Maturity Assessment
13.1.2 Technology and Innovation Trends
13.1.3 Long-Term Market Outlook
13.1.4 Investment & M&A Activity Outlook
13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the current global Generative AI Video Editing Software market size?

The global Generative AI Video Editing Software market is estimated at US$ 1.47 billion in 2025 (base year) and is projected to reach US$ 4.99 billion by 2032.

What growth rate is expected for the Generative AI Video Editing Software market through 2032?

The market is expected to grow at a CAGR of 19.2% from 2026 to 2032, expanding from US$ 1.47 billion in 2025 to US$ 4.99 billion in 2032, roughly 3.4 times its base-year value.

How is Generative AI Video Editing Software defined?

The gross profit margin of major companies in the industry is between 65%–85%.

What are the main segments of the Generative AI Video Editing Software market by type?

By type, the market is segmented into Cloud-Based AI Video Editing Software, Desktop AI Video Editing Software and API-Based AI Video Editing Software.

Which applications drive demand in the Generative AI Video Editing Software market?

Key applications covered include Short Video Creation, Advertising Video Production, Film and TV Post-Production and Other.

Who are the key players in the Generative AI Video Editing Software market?

Key players profiled include OpenAI, Runway, Adobe, Luma AI, Pika Labs, Synthesia, HeyGen and Descript, among 25 companies covered in total.

Which regions and countries are covered for Generative AI Video Editing Software?

The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.

Who should buy the Generative AI Video Editing Software market report?

The report is intended for manufacturers and solution providers, distributors and end users in Short Video Creation, Advertising Video Production and Film and TV Post-Production, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the Generative AI Video Editing Software market.

What license options are available for this report?

The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

Research Methodology

All MarketResearchReports.com strategic research reports follow a rigorous, multi-stage methodology combining AI-assisted data synthesis with expert analyst validation.

Secondary Research & Data Aggregation

Systematic collection from 500+ verified sources including SEC filings, industry databases (Bloomberg, Statista, OECD), regulatory filings, trade publications, patent databases, and company annual reports. AI-assisted extraction identifies relevant data points across 10,000+ documents per report.

Market Sizing — Bottom-Up & Top-Down

Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.

Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

Analyst Validation & Quality Assurance

All quantitative outputs reviewed by a domain-specialist analyst before publication. Data triangulation requires minimum 3 independent sources for every key figure. Reports undergo a structured peer review against our 47-point quality checklist covering methodology, data citations, logical consistency, and formatting standards.

Continuous Updates

On-demand reports are generated at time of purchase, incorporating the most recent available data. Static reports are republished when underlying market conditions shift by >10% from baseline assumptions. Purchasers receive update notifications for 12 months.