Selected research
Market Outlook & Growth Opportunities
Global Mobile Ad Fraud Detection Software Market Outlook and Growth Opportunities 2026
Market perspective
The global Mobile Ad Fraud Detection Software market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a compound annual growth rate (CAGR) of % over 2026-2032.
The North America market for Mobile Ad Fraud Detection Software is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
The Europe market for Mobile Ad Fraud Detection Software is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for Mobile Ad Fraud Detection Software is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
In China, the Mobile Ad Fraud Detection Software market is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Major global companies in the Mobile Ad Fraud Detection Software market include Adjust, AppsFlyer, Kochava, TUNE, DoubleVerify, Integral Ad Science (IAS), Oracle Advertising, DataVisor and FraudScore, among others. In 2025, the top three vendors together accounted for approximately % of global market revenue.
This report provides an overview of the global Mobile Ad Fraud Detection Software market in terms of revenue and gross margin, analyzing global market trends using historical revenue data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
The study covers key producers of Mobile Ad Fraud Detection Software and market revenue by major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents Mobile Ad Fraud Detection Software revenue, market share, and industry ranking for the main companies for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
Across the 2021-2026 period, the analysis compares revenue growth and profitability profiles by company, distinguishing participants with sustained expansion from those with more cyclical performance, and relates these patterns to differences in regional exposure, product portfolios, and application focus in the global Mobile Ad Fraud Detection Software market.
Mobile Ad Fraud Detection Software Segment by Company
Adjust
AppsFlyer
Kochava
TUNE
DoubleVerify
Integral Ad Science (IAS)
Oracle Advertising
DataVisor
FraudScore
InMobi
Mobvista
TalkingData
IP2location
Scalarr
mFilterIt
Vungle
Singular
Branch
TrafficGuard
SKUDO
Pixalate
Xenoss
Fraud Blocker
Mobile Ad Fraud Detection Software Segment by Type
Rule Engine Type
Machine Learning Type
Behavior Analysis Type
Others
Mobile Ad Fraud Detection Software Segment by Application
E-Commerce Platform
Gaming Industry
Social Media
Content Platform/KOL
Others
Mobile Ad Fraud Detection Software Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global Mobile Ad Fraud Detection Software status and future forecast, involving, revenue, growth rate (CAGR), market share, historical and forecast.
2. To present the Mobile Ad Fraud Detection Software key companies, revenue, market share, and recent developments.
3. To split the Mobile Ad Fraud Detection Software breakdown data by regions, type, companies, and application.
4. To analyze the global and key regions Mobile Ad Fraud Detection Software market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify Mobile Ad Fraud Detection Software significant trends, drivers, influence factors in global and regions.
6. To analyze Mobile Ad Fraud Detection Software competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Mobile Ad Fraud Detection Software market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Mobile Ad Fraud Detection Software and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in sales and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Mobile Ad Fraud Detection Software.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size.
Chapter 2: Analysis key trends, drivers, challenges, and opportunities within the global Mobile Ad Fraud Detection Software industry.
Chapter 3: Detailed analysis of Mobile Ad Fraud 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: Sales value of Mobile Ad Fraud Detection Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of key country in the world.
Chapter 7: Sales value of Mobile Ad Fraud Detection Software in country level. It provides sigmate data by type, and by application for each country/region.
Chapter 8: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 9: Concluding Insights.
More report detail
Tables and figures
Scope & coverage.
Types
- Rule Engine Type
- Machine Learning Type
- Behavior Analysis Type
- Others
Applications
- E-Commerce Platform
- Gaming Industry
- Social Media
- Content Platform/KOL
- Others
Companies covered
- Adjust
- AppsFlyer
- Kochava
- TUNE
- DoubleVerify
- Integral Ad Science (IAS)
- Oracle Advertising
- DataVisor
- FraudScore
- InMobi
- Mobvista
- TalkingData
- IP2location
- Scalarr
- mFilterIt
- Vungle
- Singular
- Branch
- TrafficGuard
- SKUDO
- Pixalate
- Xenoss
- Fraud Blocker
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global Mobile Ad Fraud Detection Software Market Size, 2021 VS 2025 VS 2032
- 1.3 Global Mobile Ad Fraud Detection Software Market Size (2021-2032)
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Mobile Ad Fraud Detection Software Market Dynamics
- 2.1 Mobile Ad Fraud Detection Software Industry Trends
- 2.2 Mobile Ad Fraud Detection Software Industry Drivers
- 2.3 Mobile Ad Fraud Detection Software Industry Opportunities and Challenges
- 2.4 Mobile Ad Fraud Detection Software Industry Restraints
3 Mobile Ad Fraud Detection Software Market by Company
- 3.1 Global Mobile Ad Fraud Detection Software Company Revenue Ranking in 2025
- 3.2 Global Mobile Ad Fraud Detection Software Revenue by Company (2021-2026)
- 3.3 Global Mobile Ad Fraud Detection Software Company Ranking (2024-2026)
- 3.4 Global Mobile Ad Fraud Detection Software Company Manufacturing Base and Headquarters
- 3.5 Global Mobile Ad Fraud Detection Software Company Product Type and Application
- 3.6 Global Mobile Ad Fraud Detection Software Company Establishment Date
- 3.7 Market Competitive Analysis
- 3.7.1 Global Mobile Ad Fraud Detection Software Market Concentration Ratio (CR5 and HHI)
- 3.7.2 Global Top 5 and 10 Company Market Share by Revenue in 2025
- 3.7.3 2025 Mobile Ad Fraud Detection Software Tier 1, Tier 2, and Tier 3 Companies
- 3.8 Mergers and Acquisitions Expansion
4 Mobile Ad Fraud Detection Software Market by Type
- 4.1 Mobile Ad Fraud Detection Software Type Introduction
- 4.1.1 Rule Engine Type
- 4.1.2 Machine Learning Type
- 4.1.3 Behavior Analysis Type
- 4.1.4 Others
- 4.2 Global Mobile Ad Fraud Detection Software Sales Value by Type
- 4.2.1 Global Mobile Ad Fraud Detection Software Sales Value by Type (2021 VS 2025 VS 2032)
- 4.2.2 Global Mobile Ad Fraud Detection Software Sales Value by Type (2021-2032)
- 4.2.3 Global Mobile Ad Fraud Detection Software Sales Value Share by Type (2021-2032)
5 Mobile Ad Fraud Detection Software Market by Application
- 5.1 Mobile Ad Fraud Detection Software Application Introduction
- 5.1.1 E-Commerce Platform
- 5.1.2 Gaming Industry
- 5.1.3 Social Media
- 5.1.4 Content Platform/KOL
- 5.1.5 Others
- 5.2 Global Mobile Ad Fraud Detection Software Sales Value by Application
- 5.2.1 Global Mobile Ad Fraud Detection Software Sales Value by Application (2021 VS 2025 VS 2032)
- 5.2.2 Global Mobile Ad Fraud Detection Software Sales Value by Application (2021-2032)
- 5.2.3 Global Mobile Ad Fraud Detection Software Sales Value Share by Application (2021-2032)
6 Mobile Ad Fraud Detection Software Regional Value Analysis
- 6.1 Global Mobile Ad Fraud Detection Software Sales Value by Region: 2021 VS 2025 VS 2032
- 6.2 Global Mobile Ad Fraud Detection Software Sales Value by Region (2021-2032)
- 6.2.1 Global Mobile Ad Fraud Detection Software Sales Value by Region: 2021-2026
- 6.2.2 Global Mobile Ad Fraud Detection Software Sales Value by Region (2027-2032)
- 6.3 North America
- 6.3.1 North America Mobile Ad Fraud Detection Software Sales Value (2021-2032)
- 6.3.2 North America Mobile Ad Fraud Detection Software Sales Value Share by Country, 2025 VS 2032
- 6.4 Europe
- 6.4.1 Europe Mobile Ad Fraud Detection Software Sales Value (2021-2032)
- 6.4.2 Europe Mobile Ad Fraud Detection Software Sales Value Share by Country, 2025 VS 2032
- 6.5 Asia-Pacific
- 6.5.1 Asia-Pacific Mobile Ad Fraud Detection Software Sales Value (2021-2032)
- 6.5.2 Asia-Pacific Mobile Ad Fraud Detection Software Sales Value Share by Country, 2025 VS 2032
- 6.6 South America
- 6.6.1 South America Mobile Ad Fraud Detection Software Sales Value (2021-2032)
- 6.6.2 South America Mobile Ad Fraud Detection Software Sales Value Share by Country, 2025 VS 2032
- 6.7 Middle East & Africa
- 6.7.1 Middle East & Africa Mobile Ad Fraud Detection Software Sales Value (2021-2032)
- 6.7.2 Middle East & Africa Mobile Ad Fraud Detection Software Sales Value Share by Country, 2025 VS 2032
7 Mobile Ad Fraud Detection Software Country-level Value Analysis
- 7.1 Global Mobile Ad Fraud Detection Software Sales Value by Country: 2021 VS 2025 VS 2032
- 7.2 Global Mobile Ad Fraud Detection Software Sales Value by Country (2021-2032)
- 7.2.1 Global Mobile Ad Fraud Detection Software Sales Value by Country (2021-2026)
- 7.2.2 Global Mobile Ad Fraud Detection Software Sales Value by Country (2027-2032)
- 7.3 USA
- 7.3.1 USA Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.3.2 USA Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.3.3 USA Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.4 Canada
- 7.4.1 Canada Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.4.2 Canada Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.4.3 Canada Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.5 Mexico
- 7.5.1 Mexico Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.5.2 Mexico Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.5.3 Mexico Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.6 Germany
- 7.6.1 Germany Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.6.2 Germany Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.6.3 Germany Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.7 France
- 7.7.1 France Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.7.2 France Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.7.3 France Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.8 U.K.
- 7.8.1 U.K. Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.8.2 U.K. Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.8.3 U.K. Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.9 Italy
- 7.9.1 Italy Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.9.2 Italy Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.9.3 Italy Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.10 Spain
- 7.10.1 Spain Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.10.2 Spain Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.10.3 Spain Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.11 Russia
- 7.11.1 Russia Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.11.2 Russia Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.11.3 Russia Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.12 Netherlands
- 7.12.1 Netherlands Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.12.2 Netherlands Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.12.3 Netherlands Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.13 Nordic Countries
- 7.13.1 Nordic Countries Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.13.2 Nordic Countries Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.13.3 Nordic Countries Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.14 China
- 7.14.1 China Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.14.2 China Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.14.3 China Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.15 Japan
- 7.15.1 Japan Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.15.2 Japan Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.15.3 Japan Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.16 South Korea
- 7.16.1 South Korea Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.16.2 South Korea Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.16.3 South Korea Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.17 India
- 7.17.1 India Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.17.2 India Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.17.3 India Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.18 Australia
- 7.18.1 Australia Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.18.2 Australia Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.18.3 Australia Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.19 Southeast Asia
- 7.19.1 Southeast Asia Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.19.2 Southeast Asia Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.19.3 Southeast Asia Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.20 Brazil
- 7.20.1 Brazil Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.20.2 Brazil Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.20.3 Brazil Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.21 Argentina
- 7.21.1 Argentina Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.21.2 Argentina Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.21.3 Argentina Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.22 Chile
- 7.22.1 Chile Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.22.2 Chile Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.22.3 Chile Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.23 Colombia
- 7.23.1 Colombia Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.23.2 Colombia Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.23.3 Colombia Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.24 Peru
- 7.24.1 Peru Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.24.2 Peru Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.24.3 Peru Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.25 Saudi Arabia
- 7.25.1 Saudi Arabia Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.25.2 Saudi Arabia Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.25.3 Saudi Arabia Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.26 Israel
- 7.26.1 Israel Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.26.2 Israel Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.26.3 Israel Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.27 UAE
- 7.27.1 UAE Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.27.2 UAE Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.27.3 UAE Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.28 Turkey
- 7.28.1 Turkey Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.28.2 Turkey Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.28.3 Turkey Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.29 Iran
- 7.29.1 Iran Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.29.2 Iran Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.29.3 Iran Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
- 7.30 Egypt
- 7.30.1 Egypt Mobile Ad Fraud Detection Software Sales Value Growth Rate (2021-2032)
- 7.30.2 Egypt Mobile Ad Fraud Detection Software Sales Value Share by Type, 2025 VS 2032
- 7.30.3 Egypt Mobile Ad Fraud Detection Software Sales Value Share by Application, 2025 VS 2032
8 Company Profiles
- 8.1 Adjust
- 8.1.1 Adjust Company Information
- 8.1.2 Adjust Business Overview
- 8.1.3 Adjust Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.1.4 Adjust Mobile Ad Fraud Detection Software Product Portfolio
- 8.1.5 Adjust Recent Developments
- 8.2 AppsFlyer
- 8.2.1 AppsFlyer Company Information
- 8.2.2 AppsFlyer Business Overview
- 8.2.3 AppsFlyer Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.2.4 AppsFlyer Mobile Ad Fraud Detection Software Product Portfolio
- 8.2.5 AppsFlyer Recent Developments
- 8.3 Kochava
- 8.3.1 Kochava Company Information
- 8.3.2 Kochava Business Overview
- 8.3.3 Kochava Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.3.4 Kochava Mobile Ad Fraud Detection Software Product Portfolio
- 8.3.5 Kochava Recent Developments
- 8.4 TUNE
- 8.4.1 TUNE Company Information
- 8.4.2 TUNE Business Overview
- 8.4.3 TUNE Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.4.4 TUNE Mobile Ad Fraud Detection Software Product Portfolio
- 8.4.5 TUNE Recent Developments
- 8.5 DoubleVerify
- 8.5.1 DoubleVerify Company Information
- 8.5.2 DoubleVerify Business Overview
- 8.5.3 DoubleVerify Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.5.4 DoubleVerify Mobile Ad Fraud Detection Software Product Portfolio
- 8.5.5 DoubleVerify Recent Developments
- 8.6 Integral Ad Science (IAS)
- 8.6.1 Integral Ad Science (IAS) Company Information
- 8.6.2 Integral Ad Science (IAS) Business Overview
- 8.6.3 Integral Ad Science (IAS) Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.6.4 Integral Ad Science (IAS) Mobile Ad Fraud Detection Software Product Portfolio
- 8.6.5 Integral Ad Science (IAS) Recent Developments
- 8.7 Oracle Advertising
- 8.7.1 Oracle Advertising Company Information
- 8.7.2 Oracle Advertising Business Overview
- 8.7.3 Oracle Advertising Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.7.4 Oracle Advertising Mobile Ad Fraud Detection Software Product Portfolio
- 8.7.5 Oracle Advertising Recent Developments
- 8.8 DataVisor
- 8.8.1 DataVisor Company Information
- 8.8.2 DataVisor Business Overview
- 8.8.3 DataVisor Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.8.4 DataVisor Mobile Ad Fraud Detection Software Product Portfolio
- 8.8.5 DataVisor Recent Developments
- 8.9 FraudScore
- 8.9.1 FraudScore Company Information
- 8.9.2 FraudScore Business Overview
- 8.9.3 FraudScore Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.9.4 FraudScore Mobile Ad Fraud Detection Software Product Portfolio
- 8.9.5 FraudScore Recent Developments
- 8.10 InMobi
- 8.10.1 InMobi Company Information
- 8.10.2 InMobi Business Overview
- 8.10.3 InMobi Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.10.4 InMobi Mobile Ad Fraud Detection Software Product Portfolio
- 8.10.5 InMobi Recent Developments
- 8.11 Mobvista
- 8.11.1 Mobvista Company Information
- 8.11.2 Mobvista Business Overview
- 8.11.3 Mobvista Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.11.4 Mobvista Mobile Ad Fraud Detection Software Product Portfolio
- 8.11.5 Mobvista Recent Developments
- 8.12 TalkingData
- 8.12.1 TalkingData Company Information
- 8.12.2 TalkingData Business Overview
- 8.12.3 TalkingData Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.12.4 TalkingData Mobile Ad Fraud Detection Software Product Portfolio
- 8.12.5 TalkingData Recent Developments
- 8.13 IP2location
- 8.13.1 IP2location Company Information
- 8.13.2 IP2location Business Overview
- 8.13.3 IP2location Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.13.4 IP2location Mobile Ad Fraud Detection Software Product Portfolio
- 8.13.5 IP2location Recent Developments
- 8.14 Scalarr
- 8.14.1 Scalarr Company Information
- 8.14.2 Scalarr Business Overview
- 8.14.3 Scalarr Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.14.4 Scalarr Mobile Ad Fraud Detection Software Product Portfolio
- 8.14.5 Scalarr Recent Developments
- 8.15 mFilterIt
- 8.15.1 mFilterIt Company Information
- 8.15.2 mFilterIt Business Overview
- 8.15.3 mFilterIt Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.15.4 mFilterIt Mobile Ad Fraud Detection Software Product Portfolio
- 8.15.5 mFilterIt Recent Developments
- 8.16 Vungle
- 8.16.1 Vungle Company Information
- 8.16.2 Vungle Business Overview
- 8.16.3 Vungle Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.16.4 Vungle Mobile Ad Fraud Detection Software Product Portfolio
- 8.16.5 Vungle Recent Developments
- 8.17 Singular
- 8.17.1 Singular Company Information
- 8.17.2 Singular Business Overview
- 8.17.3 Singular Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.17.4 Singular Mobile Ad Fraud Detection Software Product Portfolio
- 8.17.5 Singular Recent Developments
- 8.18 Branch
- 8.18.1 Branch Company Information
- 8.18.2 Branch Business Overview
- 8.18.3 Branch Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.18.4 Branch Mobile Ad Fraud Detection Software Product Portfolio
- 8.18.5 Branch Recent Developments
- 8.19 TrafficGuard
- 8.19.1 TrafficGuard Company Information
- 8.19.2 TrafficGuard Business Overview
- 8.19.3 TrafficGuard Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.19.4 TrafficGuard Mobile Ad Fraud Detection Software Product Portfolio
- 8.19.5 TrafficGuard Recent Developments
- 8.20 SKUDO
- 8.20.1 SKUDO Company Information
- 8.20.2 SKUDO Business Overview
- 8.20.3 SKUDO Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.20.4 SKUDO Mobile Ad Fraud Detection Software Product Portfolio
- 8.20.5 SKUDO Recent Developments
- 8.21 Pixalate
- 8.21.1 Pixalate Company Information
- 8.21.2 Pixalate Business Overview
- 8.21.3 Pixalate Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.21.4 Pixalate Mobile Ad Fraud Detection Software Product Portfolio
- 8.21.5 Pixalate Recent Developments
- 8.22 Xenoss
- 8.22.1 Xenoss Company Information
- 8.22.2 Xenoss Business Overview
- 8.22.3 Xenoss Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.22.4 Xenoss Mobile Ad Fraud Detection Software Product Portfolio
- 8.22.5 Xenoss Recent Developments
- 8.23 Fraud Blocker
- 8.23.1 Fraud Blocker Company Information
- 8.23.2 Fraud Blocker Business Overview
- 8.23.3 Fraud Blocker Mobile Ad Fraud Detection Software Revenue and Gross Margin (2021-2026)
- 8.23.4 Fraud Blocker Mobile Ad Fraud Detection Software Product Portfolio
- 8.23.5 Fraud Blocker Recent Developments
9 Concluding Insights
10 Appendix
- 10.1 Reasons for Doing This Study
- 10.2 Research Methodology
- 10.3 Research Process
- 10.4 Authors List of This Report
- 10.5 Data Source
- 10.5.1 Secondary Sources
- 10.5.2 Primary Sources
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