Global AI Deepfake Detection Market Research Report 2024

Publication ID:

PB501253476

Publication Date:

January 6, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Deepfake Detection was valued at US$ 148 million in the year 2023 and is projected to reach a revised size of US$ 1801 million by 2030, growing at a CAGR of 44.0% during the forecast period.
Deepfake Detector is a software application or service that utilizes advanced artificial intelligence (AI) algorithms to analyze and detect content that has been altered or synthesized using Deepfake technology. This technology is capable of creating highly realistic and convincing fake videos, images, or audio by manipulating the original content to present a different reality. The Deepfake Detector aims to combat the spread of misleading or deceptive information by alerting users to potential Deepfake content.
North American market for AI Deepfake Detection 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 AI Deepfake Detection 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 AI Deepfake Detection in Media Verification 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 AI Deepfake Detection 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 AI Deepfake Detection, 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 AI Deepfake Detection.
The AI Deepfake Detection 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 AI Deepfake Detection 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 AI Deepfake Detection 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
Segment by Type
On Premise
Cloud-based
Segment by Application
Media Verification
Social Media Monitoring
Others
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 AI Deepfake Detection 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Deepfake Detection 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 AI Deepfake Detection Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Media Verification
1.3.3 Social Media Monitoring
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Deepfake Detection Market Perspective (2019-2030)
2.2 Global AI Deepfake Detection Growth Trends by Region
2.2.1 Global AI Deepfake Detection Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Deepfake Detection Historic Market Size by Region (2019-2024)
2.2.3 AI Deepfake Detection Forecasted Market Size by Region (2025-2030)
2.3 AI Deepfake Detection Market Dynamics
2.3.1 AI Deepfake Detection Industry Trends
2.3.2 AI Deepfake Detection Market Drivers
2.3.3 AI Deepfake Detection Market Challenges
2.3.4 AI Deepfake Detection Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Deepfake Detection Players by Revenue
3.1.1 Global Top AI Deepfake Detection Players by Revenue (2019-2024)
3.1.2 Global AI Deepfake Detection Revenue Market Share by Players (2019-2024)
3.2 Global AI Deepfake Detection Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Deepfake Detection Revenue
3.4 Global AI Deepfake Detection Market Concentration Ratio
3.4.1 Global AI Deepfake Detection Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Deepfake Detection Revenue in 2023
3.5 Global Key Players of AI Deepfake Detection Head office and Area Served
3.6 Global Key Players of AI Deepfake Detection, Product and Application
3.7 Global Key Players of AI Deepfake Detection, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Deepfake Detection Breakdown Data by Type
4.1 Global AI Deepfake Detection Historic Market Size by Type (2019-2024)
4.2 Global AI Deepfake Detection Forecasted Market Size by Type (2025-2030)
5 AI Deepfake Detection Breakdown Data by Application
5.1 Global AI Deepfake Detection Historic Market Size by Application (2019-2024)
5.2 Global AI Deepfake Detection Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Deepfake Detection Market Size (2019-2030)
6.2 North America AI Deepfake Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Deepfake Detection Market Size by Country (2019-2024)
6.4 North America AI Deepfake Detection Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Deepfake Detection Market Size (2019-2030)
7.2 Europe AI Deepfake Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Deepfake Detection Market Size by Country (2019-2024)
7.4 Europe AI Deepfake Detection 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 AI Deepfake Detection Market Size (2019-2030)
8.2 Asia-Pacific AI Deepfake Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Deepfake Detection Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Deepfake Detection 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 AI Deepfake Detection Market Size (2019-2030)
9.2 Latin America AI Deepfake Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Deepfake Detection Market Size by Country (2019-2024)
9.4 Latin America AI Deepfake Detection Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Deepfake Detection Market Size (2019-2030)
10.2 Middle East & Africa AI Deepfake Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Deepfake Detection Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.1.4 McAfee Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.2.4 BioID Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.3.4 Sightengine Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.4.4 DeepWare AI Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.5.4 Resemble Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.6.4 Intel Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.7.4 WeVerify Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.8.4 Attestiv Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.9.4 RealAI Revenue in AI Deepfake Detection 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 AI Deepfake Detection Introduction
11.10.4 Sentinel Revenue in AI Deepfake Detection Business (2019-2024)
11.10.5 Sentinel 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

Companies Mentioned:

McAfee
BioID
Sightengine
DeepWare AI
Resemble
Intel
WeVerify
Attestiv
RealAI
Sentinel

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