Deepfake Report Cover TrendFeedr

Deepfake Report

: Analysis on the Market, Trends, and Technologies
Topic Size
trending indicator
Topic Maturity
Monthly Search Volume
Published: February 23, 2024
Updated: June 29, 2024
Author: Samir Wilson

The deepfake business domain is rapidly expanding, with a substantial presence indicated by its 87.73rd percentile ranking in overall trend size. Although the trend is still developing, it has a broad reach, with 697 companies involved across sectors like IT Services, Media, and Software Development. Deepfake technology’s growth, high media visibility, and strong market potential are underscored by its 49.67% growth in the past five years and $2.07 billion in total funding. Ethical, technological, and societal implications are at the forefront of this trend, presenting both challenges and opportunities for businesses in the digital landscape.

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Topic Dominance Index of Deepfake

To identify the Dominance Index of Deepfake in the Trend and Technology ecosystem, we look at 3 different time series: the timeline of published articles, founded companies, and global search. These timelines are normalized and combined to show a comprehensive view of the Deepfake evolution relative to all known Trends and Technologies.

Dominance Index growth in the last 5 years: 107.99%
Growth per month: 1.51%

Key Activities and Applications

  • Video Manipulation: Companies are creating falsified videos, particularly targeting celebrities and politicians, using advanced AI techniques.
  • Human Rights Protection: Organizations are using video technology to document and expose human rights abuses.
  • Brand Suitability Targeting: Firms are developing technology for brand safety in digital advertising, ensuring brand messages appear in suitable online environments.
  • AI-Powered Lip-Sync Applications: Development of apps that can synchronize lip movements in videos to any selected audio track.
  • Content Authentication: Solutions to verify the authenticity of digital content to combat misinformation and copyright violations.
  • Voice Technologies: Companies are innovating in AI text-to-speech technologies, creating a variety of human-like voices for digital experiences.
  • Video Recognition and Fingerprinting: Development of technologies to identify and filter video content on a large scale for compliance with regulations.
  • Digital Forensics: Services that provide digital audio, video, and image forensics to various sectors, including civil and private investigations.
  • Automated Translation Services: Technologies that enable the rapid, high-volume translation of video content.
  • Deepfake Detection: Platforms that detect and assess the risk of deepfakes, alerting users to potential crises.

Technologies and Methodologies

  • Artificial Intelligence: Core AI technologies, including machine learning and neural networks, are fundamental in creating and detecting deepfakes.
  • Biometrics Authentication: Leveraging biometric data for authentication and fraud prevention.
  • Blockchain for Verification: Using blockchain technology to ensure the integrity and provenance of digital media.
  • Natural Language Processing: AI-driven voice and video technologies that transform text into lifelike audiovisual content.
  • Deep Learning: Specialized in video analysis for object and people recognition, indicating a focus on enhancing AI capabilities for visual content.
  • Motion Capture: Development of deepfake content using motion capture technology for more realistic and engaging digital media.
  • Synthetic Media Services: Companies are offering services that achieve human-parity in voice and are venturing into synthetic media for content creation.
  • Content-Agnostic Platform: Solutions that can detect viral misinformation irrespective of the content, using network-based AI technology.

In conclusion, the deepfake domain has diverse applications and shows significant growth. It also triggers the emergence of innovative technologies aimed at both leveraging and safeguarding against the potential misuse of deepfake capabilities. As the trend continues to mature, strategic insights and adaptations will be crucial for stakeholders to navigate the evolving digital landscape.

Deepfake Funding

A total of 109 Deepfake companies have received funding.
Overall, Deepfake companies have raised $4.1B.
Companies within the Deepfake domain have secured capital from 257 funding rounds.
The chart shows the funding trendline of Deepfake companies over the last 5 years

Funding growth in the last 5 years: 1003.15%
Growth per month: 5.24%

Deepfake Companies

The Companies feature is a crucial part of TrendFeedr. It offers in-depth information about 944 companies working within Deepfake and other trends and technologies. Identify and analyze innovators and key players in relevant industries more easily with this feature.

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944 Deepfake Companies

Discover Deepfake Companies, their Funding, Manpower, Revenues, Stages, and much more

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Deepfake Investors

TrendFeedr’s investors tool offers a detailed view of investment activities that align with specific trends and technologies. This tool features comprehensive data on 121 Deepfake investors, funding rounds, and investment trends, providing an overview of market dynamics.

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121 Deepfake Investors

Discover Deepfake Investors, Funding Rounds, Invested Amounts, and Funding Growth

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Deepfake News

Stay informed and ahead of the curve with TrendFeedr’s News feature, which provides access to 14.6K Deepfake articles. The tool is tailored for professionals seeking to understand the historical trajectory and current momentum of changing market trends.

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14.6K Deepfake News Articles

Discover Latest Deepfake Articles, News Magnitude, Publication Propagation, Yearly Growth, and Strongest Publications

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