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AI Video Generator Market Analysis and Forecast | Future Market Trends


AI Video Generator Market Report Scope and Overview

The ever-increasing demand for video content is fueling a boom in the AI Video Generator Market. The SNS Insider report indicates a market size of USD 554.8 Million in 2023, and a projected surge to USD 2.3 Billion by 2031, reflecting a staggering CAGR of 19.6% over the forecast period.

The burgeoning demand for video content is a key driver propelling the AI Video Generator Market. The widespread adoption of high-speed internet, the prevalence of social media platforms, and consumer preference for video-based information are fueling the need for user-friendly video creation tools. AI video generators empower businesses and individuals to create engaging video content without the complexities and costs associated with traditional video production methods.

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Some of the Major Key Players Studied in this Report are:

  • Muse
  • InVideo
  • Rephrase.ai
  • FlexClip
  • Synths Video
  • Lumen5
  • Raw Shorts
  • Pictory
  • Synthesia
  • Designs.ai
  • Others

AI Video Generator Market Report

Segmentation Analysis

Large enterprises dominated the market in 2023. However, the Small & Medium Enterprises (SMEs) segment is anticipated to witness the fastest growth rate during the forecast period. Video presentations are a powerful tool for communication and knowledge dissemination within organizations, particularly for training and education purposes. AI video generators offer SMEs the flexibility to create these presentations efficiently and cost-effectively.

The text-to-video segment held the dominant market share in 2023. This segment encompasses software solutions that transform written content (articles, scripts, blogs, etc. into engaging videos. While text-to-video maintains its lead, the PowerPoint-to-video segment is expected to experience rapid growth. This is primarily due to the widespread use of PowerPoint presentations in business communication, and the increasing demand for converting them into dynamic video content.

Market Segmentation and Sub-Segmentation Included Are:

By Component

  • Solution
  • Services

By Source

  • Text to Video
  • PowerPoint to Video
  • Spreadsheet to Video

By Organization Size

  • Large Enterprises
  • SMEs

By Application

  • Marketing
  • Education
  • E-commerce
  • Social Media
  • Others

Impact of Global Events

The ongoing Russia-Ukraine war and potential economic slowdowns can pose challenges to the AI Video Generator Market. Geopolitical instability may lead to investor caution, impacting funding and research & development efforts for AI video generator companies. Businesses in conflict zones might face financial constraints hindering their ability to invest in this technology. However, these situations can also present opportunities for companies based in more stable regions to capture market share. AI video generators can also play a valuable role in conflict situations by automating video analysis tasks like object recognition and event tracking.

Key Regional Developments

North America is predicted to remain the dominant market throughout the forecast period. Factors contributing to this dominance include the high number of social media users, the rise of influencer marketing, evolving customer preferences, and limitations of traditional marketing approaches. Startups in the region are leveraging data-driven marketing strategies to maximize ROI, customer acquisition, and understand real-time consumption trends. This fosters a fertile ground for the adoption of AI video generator technologies.

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Recent Developments

In October 2022: Google announced an upcoming text-to-video generator capable of producing videos from basic written prompts at a resolution of 1280×768 and 24 frames per second.

In October 2022: Meta, the parent company of Facebook, unveiled “Make-a-Video,” a new AI-powered tool that allows users to create videos based on text descriptions.

Key Takeaways

  • The report provides valuable information into the market size, growth projections, and key drivers of the AI Video Generator Market.
  • It offers a detailed analysis of market segmentation, enabling businesses to identify lucrative opportunities within specific segments.
  • The report explores potential challenges like geopolitical instability and economic downturns, providing crucial information for informed decision-making.

The AI Video Generator Market presents a promising future with continuous advancements in AI technology and growing demand for video content. As AI video generators become more sophisticated and user-friendly, their adoption will likely extend beyond marketing and communication to encompass training materials, educational resources, and even video game development. The increasing affordability of AI video generator solutions will further democratize video content creation, empowering businesses and individuals of all sizes to leverage this powerful technology.

Table of Contents- Major Key Points

  1. Introduction
  2. Research Methodology
  3. Market Dynamics
    • Drivers
    • Restraints
    • Opportunities
    • Challenges
  4. Impact Analysis
    • Impact of Ukraine- Russia war
    • Impact of Ongoing Recession on Major Economies
  5. Value Chain Analysis
  6. Porter’s 5 Forces Model
  7. PEST Analysis
  8. AI Video Generator Market Segmentation, By Components
    • Solution
    • Services
  9. AI Video Generator Market Segmentation, By Source
    • Text to Video
    • PowerPoint to Video
    • Spreadsheet to Video
  10. AI Video Generator Market Segmentation, By Organization Size
    • Large Enterprises
    • SMEs
  11. AI Video Generator Market Segmentation, By Application
    • Marketing
    • Education
    • E-commerce
    • Social Media
    • Others
  12. Regional Analysis
    • Introduction
    • North America
    • Europe
    • Asia-Pacific
    • The Middle East & Africa
    • Latin America
  13. Company Profile
  14. Competitive Landscape
    • Competitive Benchmarking
    • Market Share Analysis
    • Recent Developments
  15. USE Cases and Best Practices
  16. Conclusion

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