
The global market for Deepfake Detection Software was valued at US$ 182 million in the year 2023 and is projected to reach a revised size of US$ 1478 million by 2030, growing at a CAGR of 38.0% during the forecast period.
Deepfake Detection Software is defined as a type of application or program designed to detect and identify content that has been altered or synthesized using Deepfake technology. This technology leverages advanced algorithms, typically based on artificial intelligence (AI) and machine learning, to analyze digital media such as images, videos, and audio files.
The primary function of Deepfake Detection Software is to scan and analyze media content for any signs of manipulation or synthesis that are indicative of Deepfake activity. This includes detecting anomalies in facial features, audio spectrums, and other signals that may suggest the content has been altered. The software uses a variety of techniques, such as cross-validation of multi-modal data (e.g., synchronizing facial features with speech content in videos) to ensure the authenticity of the media.
North American market for Deepfake Detection Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Deepfake Detection Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Deepfake Detection Software in Enterprise is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Deepfake Detection Software include McAfee, BioID, Sightengine, DeepWare AI, Resemble, Intel, WeVerify, Attestiv, RealAI, Sentinel, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Deepfake Detection Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deepfake Detection Software.
The Deepfake Detection Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deepfake Detection Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Deepfake Detection Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
McAfee
BioID
Sightengine
DeepWare AI
Resemble
Intel
WeVerify
Attestiv
RealAI
Sentinel
Pindrop
Amped
Reality Defender
Segment by Type
On Premise
Cloud-based
Segment by Application
Enterprise
Individual
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deepfake Detection Software company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deepfake Detection Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On Premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Deepfake Detection Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Enterprise
1.3.3 Individual
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deepfake Detection Software Market Perspective (2019-2030)
2.2 Global Deepfake Detection Software Growth Trends by Region
2.2.1 Global Deepfake Detection Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Deepfake Detection Software Historic Market Size by Region (2019-2024)
2.2.3 Deepfake Detection Software Forecasted Market Size by Region (2025-2030)
2.3 Deepfake Detection Software Market Dynamics
2.3.1 Deepfake Detection Software Industry Trends
2.3.2 Deepfake Detection Software Market Drivers
2.3.3 Deepfake Detection Software Market Challenges
2.3.4 Deepfake Detection Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Deepfake Detection Software Players by Revenue
3.1.1 Global Top Deepfake Detection Software Players by Revenue (2019-2024)
3.1.2 Global Deepfake Detection Software Revenue Market Share by Players (2019-2024)
3.2 Global Deepfake Detection Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Deepfake Detection Software Revenue
3.4 Global Deepfake Detection Software Market Concentration Ratio
3.4.1 Global Deepfake Detection Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deepfake Detection Software Revenue in 2023
3.5 Global Key Players of Deepfake Detection Software Head office and Area Served
3.6 Global Key Players of Deepfake Detection Software, Product and Application
3.7 Global Key Players of Deepfake Detection Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Deepfake Detection Software Breakdown Data by Type
4.1 Global Deepfake Detection Software Historic Market Size by Type (2019-2024)
4.2 Global Deepfake Detection Software Forecasted Market Size by Type (2025-2030)
5 Deepfake Detection Software Breakdown Data by Application
5.1 Global Deepfake Detection Software Historic Market Size by Application (2019-2024)
5.2 Global Deepfake Detection Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Deepfake Detection Software Market Size (2019-2030)
6.2 North America Deepfake Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Deepfake Detection Software Market Size by Country (2019-2024)
6.4 North America Deepfake Detection Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Deepfake Detection Software Market Size (2019-2030)
7.2 Europe Deepfake Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Deepfake Detection Software Market Size by Country (2019-2024)
7.4 Europe Deepfake Detection Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Deepfake Detection Software Market Size (2019-2030)
8.2 Asia-Pacific Deepfake Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Deepfake Detection Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Deepfake Detection Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Deepfake Detection Software Market Size (2019-2030)
9.2 Latin America Deepfake Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Deepfake Detection Software Market Size by Country (2019-2024)
9.4 Latin America Deepfake Detection Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Deepfake Detection Software Market Size (2019-2030)
10.2 Middle East & Africa Deepfake Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Deepfake Detection Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Deepfake Detection Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 McAfee
11.1.1 McAfee Company Details
11.1.2 McAfee Business Overview
11.1.3 McAfee Deepfake Detection Software Introduction
11.1.4 McAfee Revenue in Deepfake Detection Software Business (2019-2024)
11.1.5 McAfee Recent Development
11.2 BioID
11.2.1 BioID Company Details
11.2.2 BioID Business Overview
11.2.3 BioID Deepfake Detection Software Introduction
11.2.4 BioID Revenue in Deepfake Detection Software Business (2019-2024)
11.2.5 BioID Recent Development
11.3 Sightengine
11.3.1 Sightengine Company Details
11.3.2 Sightengine Business Overview
11.3.3 Sightengine Deepfake Detection Software Introduction
11.3.4 Sightengine Revenue in Deepfake Detection Software Business (2019-2024)
11.3.5 Sightengine Recent Development
11.4 DeepWare AI
11.4.1 DeepWare AI Company Details
11.4.2 DeepWare AI Business Overview
11.4.3 DeepWare AI Deepfake Detection Software Introduction
11.4.4 DeepWare AI Revenue in Deepfake Detection Software Business (2019-2024)
11.4.5 DeepWare AI Recent Development
11.5 Resemble
11.5.1 Resemble Company Details
11.5.2 Resemble Business Overview
11.5.3 Resemble Deepfake Detection Software Introduction
11.5.4 Resemble Revenue in Deepfake Detection Software Business (2019-2024)
11.5.5 Resemble Recent Development
11.6 Intel
11.6.1 Intel Company Details
11.6.2 Intel Business Overview
11.6.3 Intel Deepfake Detection Software Introduction
11.6.4 Intel Revenue in Deepfake Detection Software Business (2019-2024)
11.6.5 Intel Recent Development
11.7 WeVerify
11.7.1 WeVerify Company Details
11.7.2 WeVerify Business Overview
11.7.3 WeVerify Deepfake Detection Software Introduction
11.7.4 WeVerify Revenue in Deepfake Detection Software Business (2019-2024)
11.7.5 WeVerify Recent Development
11.8 Attestiv
11.8.1 Attestiv Company Details
11.8.2 Attestiv Business Overview
11.8.3 Attestiv Deepfake Detection Software Introduction
11.8.4 Attestiv Revenue in Deepfake Detection Software Business (2019-2024)
11.8.5 Attestiv Recent Development
11.9 RealAI
11.9.1 RealAI Company Details
11.9.2 RealAI Business Overview
11.9.3 RealAI Deepfake Detection Software Introduction
11.9.4 RealAI Revenue in Deepfake Detection Software Business (2019-2024)
11.9.5 RealAI Recent Development
11.10 Sentinel
11.10.1 Sentinel Company Details
11.10.2 Sentinel Business Overview
11.10.3 Sentinel Deepfake Detection Software Introduction
11.10.4 Sentinel Revenue in Deepfake Detection Software Business (2019-2024)
11.10.5 Sentinel Recent Development
11.11 Pindrop
11.11.1 Pindrop Company Details
11.11.2 Pindrop Business Overview
11.11.3 Pindrop Deepfake Detection Software Introduction
11.11.4 Pindrop Revenue in Deepfake Detection Software Business (2019-2024)
11.11.5 Pindrop Recent Development
11.12 Amped
11.12.1 Amped Company Details
11.12.2 Amped Business Overview
11.12.3 Amped Deepfake Detection Software Introduction
11.12.4 Amped Revenue in Deepfake Detection Software Business (2019-2024)
11.12.5 Amped Recent Development
11.13 Reality Defender
11.13.1 Reality Defender Company Details
11.13.2 Reality Defender Business Overview
11.13.3 Reality Defender Deepfake Detection Software Introduction
11.13.4 Reality Defender Revenue in Deepfake Detection Software Business (2019-2024)
11.13.5 Reality Defender Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
McAfee
BioID
Sightengine
DeepWare AI
Resemble
Intel
WeVerify
Attestiv
RealAI
Sentinel
Pindrop
Amped
Reality Defender
Ìý
Ìý
*If Applicable.
