The global On-Premise Fake Image Detection market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
The fake image machine learning and deep learning detection market is influenced by several market factors as follows锛�
Increase in deepfake attacks: The number of deepfake attacks has been increasing, and this has prompted organizations to invest in fake image detection technologies to protect their brands and reputations.
Growth in social media usage: As social media becomes more prevalent, the risk of fake images being spread on these platforms also increases. This has led to a greater need for fake image detection solutions among social media companies.
Government and regulatory initiatives: Some governments and regulatory bodies have been taking steps to crack down on the use of fake images and other synthetic media for malicious purposes. This has led to an increased focus on developing and implementing fake image detection technologies.
Adoption of AI and machine learning: Advanced AI and machine learning algorithms are being used to develop more sophisticated fake image detection solutions. These technologies can analyze images and videos to determine whether they are real or fake, and they are becoming more accurate and efficient over time.
Overall, the fake image detection market is expected to continue growing as the threat of fake images and other synthetic media becomes more prevalent. The key players in the market include CognitiveScale, Ascertiv, Viscopic, and others, and they are developing advanced technologies to help organizations protect themselves against fake images and other types of malicious content.
This report aims to provide a comprehensive presentation of the global market for On-Premise Fake Image 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 On-Premise Fake Image Detection.
The On-Premise Fake Image 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 On-Premise Fake Image 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 On-Premise Fake Image 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
Microsoft Corporation
Gradiant
Facia
Image Forgery Detector
Q-integrity
iDenfy
DuckDuckGoose AI
Primeau Forensics
Sentinel AI
iProov
Truepic
Sensity AI
BioID
Reality Defender
Clearview AI
Kairos
Segment by Type
Machine Learning and Deep Learning
Image Forensics
Segment by Application
Finance
Access Control System
Mobile Device Security Detection
Digital Image Forensics
Media
Other
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 On-Premise Fake Image 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.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global On-Premise Fake Image Detection Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Learning and Deep Learning
1.2.3 Image Forensics
1.3 Market by Application
1.3.1 Global On-Premise Fake Image Detection Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Finance
1.3.3 Access Control System
1.3.4 Mobile Device Security Detection
1.3.5 Digital Image Forensics
1.3.6 Media
1.3.7 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global On-Premise Fake Image Detection Market Perspective (2019-2030)
2.2 Global On-Premise Fake Image Detection Growth Trends by Region
2.2.1 Global On-Premise Fake Image Detection Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 On-Premise Fake Image Detection Historic Market Size by Region (2019-2024)
2.2.3 On-Premise Fake Image Detection Forecasted Market Size by Region (2025-2030)
2.3 On-Premise Fake Image Detection Market Dynamics
2.3.1 On-Premise Fake Image Detection Industry Trends
2.3.2 On-Premise Fake Image Detection Market Drivers
2.3.3 On-Premise Fake Image Detection Market Challenges
2.3.4 On-Premise Fake Image Detection Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top On-Premise Fake Image Detection Players by Revenue
3.1.1 Global Top On-Premise Fake Image Detection Players by Revenue (2019-2024)
3.1.2 Global On-Premise Fake Image Detection Revenue Market Share by Players (2019-2024)
3.2 Global On-Premise Fake Image Detection Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by On-Premise Fake Image Detection Revenue
3.4 Global On-Premise Fake Image Detection Market Concentration Ratio
3.4.1 Global On-Premise Fake Image Detection Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by On-Premise Fake Image Detection Revenue in 2023
3.5 Global Key Players of On-Premise Fake Image Detection Head office and Area Served
3.6 Global Key Players of On-Premise Fake Image Detection, Product and Application
3.7 Global Key Players of On-Premise Fake Image Detection, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 On-Premise Fake Image Detection Breakdown Data by Type
4.1 Global On-Premise Fake Image Detection Historic Market Size by Type (2019-2024)
4.2 Global On-Premise Fake Image Detection Forecasted Market Size by Type (2025-2030)
5 On-Premise Fake Image Detection Breakdown Data by Application
5.1 Global On-Premise Fake Image Detection Historic Market Size by Application (2019-2024)
5.2 Global On-Premise Fake Image Detection Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America On-Premise Fake Image Detection Market Size (2019-2030)
6.2 North America On-Premise Fake Image Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America On-Premise Fake Image Detection Market Size by Country (2019-2024)
6.4 North America On-Premise Fake Image Detection Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe On-Premise Fake Image Detection Market Size (2019-2030)
7.2 Europe On-Premise Fake Image Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe On-Premise Fake Image Detection Market Size by Country (2019-2024)
7.4 Europe On-Premise Fake Image 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 On-Premise Fake Image Detection Market Size (2019-2030)
8.2 Asia-Pacific On-Premise Fake Image Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific On-Premise Fake Image Detection Market Size by Region (2019-2024)
8.4 Asia-Pacific On-Premise Fake Image 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 On-Premise Fake Image Detection Market Size (2019-2030)
9.2 Latin America On-Premise Fake Image Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America On-Premise Fake Image Detection Market Size by Country (2019-2024)
9.4 Latin America On-Premise Fake Image Detection Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa On-Premise Fake Image Detection Market Size (2019-2030)
10.2 Middle East & Africa On-Premise Fake Image Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa On-Premise Fake Image Detection Market Size by Country (2019-2024)
10.4 Middle East & Africa On-Premise Fake Image Detection Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft Corporation
11.1.1 Microsoft Corporation Company Details
11.1.2 Microsoft Corporation Business Overview
11.1.3 Microsoft Corporation On-Premise Fake Image Detection Introduction
11.1.4 Microsoft Corporation Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.1.5 Microsoft Corporation Recent Development
11.2 Gradiant
11.2.1 Gradiant Company Details
11.2.2 Gradiant Business Overview
11.2.3 Gradiant On-Premise Fake Image Detection Introduction
11.2.4 Gradiant Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.2.5 Gradiant Recent Development
11.3 Facia
11.3.1 Facia Company Details
11.3.2 Facia Business Overview
11.3.3 Facia On-Premise Fake Image Detection Introduction
11.3.4 Facia Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.3.5 Facia Recent Development
11.4 Image Forgery Detector
11.4.1 Image Forgery Detector Company Details
11.4.2 Image Forgery Detector Business Overview
11.4.3 Image Forgery Detector On-Premise Fake Image Detection Introduction
11.4.4 Image Forgery Detector Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.4.5 Image Forgery Detector Recent Development
11.5 Q-integrity
11.5.1 Q-integrity Company Details
11.5.2 Q-integrity Business Overview
11.5.3 Q-integrity On-Premise Fake Image Detection Introduction
11.5.4 Q-integrity Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.5.5 Q-integrity Recent Development
11.6 iDenfy
11.6.1 iDenfy Company Details
11.6.2 iDenfy Business Overview
11.6.3 iDenfy On-Premise Fake Image Detection Introduction
11.6.4 iDenfy Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.6.5 iDenfy Recent Development
11.7 DuckDuckGoose AI
11.7.1 DuckDuckGoose AI Company Details
11.7.2 DuckDuckGoose AI Business Overview
11.7.3 DuckDuckGoose AI On-Premise Fake Image Detection Introduction
11.7.4 DuckDuckGoose AI Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.7.5 DuckDuckGoose AI Recent Development
11.8 Primeau Forensics
11.8.1 Primeau Forensics Company Details
11.8.2 Primeau Forensics Business Overview
11.8.3 Primeau Forensics On-Premise Fake Image Detection Introduction
11.8.4 Primeau Forensics Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.8.5 Primeau Forensics Recent Development
11.9 Sentinel AI
11.9.1 Sentinel AI Company Details
11.9.2 Sentinel AI Business Overview
11.9.3 Sentinel AI On-Premise Fake Image Detection Introduction
11.9.4 Sentinel AI Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.9.5 Sentinel AI Recent Development
11.10 iProov
11.10.1 iProov Company Details
11.10.2 iProov Business Overview
11.10.3 iProov On-Premise Fake Image Detection Introduction
11.10.4 iProov Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.10.5 iProov Recent Development
11.11 Truepic
11.11.1 Truepic Company Details
11.11.2 Truepic Business Overview
11.11.3 Truepic On-Premise Fake Image Detection Introduction
11.11.4 Truepic Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.11.5 Truepic Recent Development
11.12 Sensity AI
11.12.1 Sensity AI Company Details
11.12.2 Sensity AI Business Overview
11.12.3 Sensity AI On-Premise Fake Image Detection Introduction
11.12.4 Sensity AI Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.12.5 Sensity AI Recent Development
11.13 BioID
11.13.1 BioID Company Details
11.13.2 BioID Business Overview
11.13.3 BioID On-Premise Fake Image Detection Introduction
11.13.4 BioID Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.13.5 BioID Recent Development
11.14 Reality Defender
11.14.1 Reality Defender Company Details
11.14.2 Reality Defender Business Overview
11.14.3 Reality Defender On-Premise Fake Image Detection Introduction
11.14.4 Reality Defender Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.14.5 Reality Defender Recent Development
11.15 Clearview AI
11.15.1 Clearview AI Company Details
11.15.2 Clearview AI Business Overview
11.15.3 Clearview AI On-Premise Fake Image Detection Introduction
11.15.4 Clearview AI Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.15.5 Clearview AI Recent Development
11.16 Kairos
11.16.1 Kairos Company Details
11.16.2 Kairos Business Overview
11.16.3 Kairos On-Premise Fake Image Detection Introduction
11.16.4 Kairos Revenue in On-Premise Fake Image Detection Business (2019-2024)
11.16.5 Kairos 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
Microsoft Corporation
Gradiant
Facia
Image Forgery Detector
Q-integrity
iDenfy
DuckDuckGoose AI
Primeau Forensics
Sentinel AI
iProov
Truepic
Sensity AI
BioID
Reality Defender
Clearview AI
Kairos
听
听
*If Applicable.
