Global Intellectual Property Fraud Market

Intellectual Property Fraud Comprehensive Study by Type (Copyright, Trademark, Patent, Trade Secret Laws), Application (Defence, Government, Banks & Financial Institutions, Others), Deployment Mode (On-Premise, Cloud-Based), Enterprise (Small and Medium Enterprises, Large Enterprise) Players and Region - Global Market Outlook to 2030

Intellectual Property Fraud Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 11.2%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Intellectual property fraud is refer as the fraud related to property that is protected under copyright, trademark, patent, or trade secret laws activities. This fraud is sometime also known as intellectual property scams. Intellectual property (IP) is consists of the creation of mind, such as inventions, literary and artistic works, designs, and symbols, names and images used in commerce. This is known to be fraud when someone committed crime of manufacturing, selling or distributing counterfeit or pirated goods, such as such as patents, trademarks, industrial designs or literary and artistic works, for commercial gain. The impact of counterfeiting is particularly high in the European Union, where counterfeit and pirated products make up to 5 % of imports. According to AMA Research, the market for Intellectual Property Fraud is expected to register a CAGR of 11.2% during the forecast period to 2030. This growth is primarily driven by Protect Assets From Duplicity .

AttributesDetails
Study Period2018-2030
Base Year2023
Forecast Period2024-2030
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Internet Software & Services sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Experian Information Solutions, Inc. (United States), SAS Institute Inc. (United States), Oracle (United States), IBM (United States), Fair Isaac Corporation. (United States), Fiserv, Inc. (United States), FIS. (United States), SAP SE (Germany), ACI Worldwide, Inc. (United States) and NCR Corporation (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies.

Influencing Trend:
Rising Demand for the Intellectual Property Fraud Software from the Large Size organizations in Developing Regions such as China, India, and Others.

Market Growth Drivers:
Protect Assets From Duplicity, Continuous Upgrade Requirements of Intellectual Property Fraud Solutions, Increasing Awareness of Intellectual Property Rights Among the End-Users and Increase in Demand for the Secured and Well-Documented System

Challenges:
Complexity of the Process

Restraints:
High Cost of Investment, Poor Rate of Awareness and Data Security

Opportunities:
Rising Awareness among the Individuals about Intellectual Property Fraud

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Intellectual Property Fraud Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Intellectual Property Fraud Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Intellectual Property Fraud players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Intellectual Property Fraud Study Sheds Light on
— The Intellectual Property Fraud Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Intellectual Property Fraud industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Intellectual Property Fraud industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Copyright
  • Trademark
  • Patent
  • Trade Secret Laws
By Application
  • Defence
  • Government
  • Banks & Financial Institutions
  • Others
By Deployment Mode
  • On-Premise
  • Cloud-Based

By Enterprise
  • Small and Medium Enterprises
  • Large Enterprise

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Protect Assets From Duplicity
      • 3.2.2. Continuous Upgrade Requirements of Intellectual Property Fraud Solutions
      • 3.2.3. Increasing Awareness of Intellectual Property Rights Among the End-Users
      • 3.2.4. Increase in Demand for the Secured and Well-Documented System
    • 3.3. Market Challenges
      • 3.3.1. Complexity of the Process
    • 3.4. Market Trends
      • 3.4.1. Rising Demand for the Intellectual Property Fraud Software from the Large Size organizations in Developing Regions such as China, India, and Others.
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Intellectual Property Fraud, by Type, Application, Deployment Mode, Enterprise and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Intellectual Property Fraud (Value)
      • 5.2.1. Global Intellectual Property Fraud by: Type (Value)
        • 5.2.1.1. Copyright
        • 5.2.1.2. Trademark
        • 5.2.1.3. Patent
        • 5.2.1.4. Trade Secret Laws
      • 5.2.2. Global Intellectual Property Fraud by: Application (Value)
        • 5.2.2.1. Defence
        • 5.2.2.2. Government
        • 5.2.2.3. Banks & Financial Institutions
        • 5.2.2.4. Others
      • 5.2.3. Global Intellectual Property Fraud by: Deployment Mode (Value)
        • 5.2.3.1. On-Premise
        • 5.2.3.2. Cloud-Based
      • 5.2.4. Global Intellectual Property Fraud by: Enterprise (Value)
        • 5.2.4.1. Small and Medium Enterprises
        • 5.2.4.2. Large Enterprise
      • 5.2.5. Global Intellectual Property Fraud Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Intellectual Property Fraud: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Experian Information Solutions, Inc. (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SAS Institute Inc. (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Oracle (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. IBM (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Fair Isaac Corporation. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Fiserv, Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. FIS. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. SAP SE (Germany)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. ACI Worldwide, Inc. (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. NCR Corporation (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Intellectual Property Fraud Sale, by Type, Application, Deployment Mode, Enterprise and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Intellectual Property Fraud (Value)
      • 7.2.1. Global Intellectual Property Fraud by: Type (Value)
        • 7.2.1.1. Copyright
        • 7.2.1.2. Trademark
        • 7.2.1.3. Patent
        • 7.2.1.4. Trade Secret Laws
      • 7.2.2. Global Intellectual Property Fraud by: Application (Value)
        • 7.2.2.1. Defence
        • 7.2.2.2. Government
        • 7.2.2.3. Banks & Financial Institutions
        • 7.2.2.4. Others
      • 7.2.3. Global Intellectual Property Fraud by: Deployment Mode (Value)
        • 7.2.3.1. On-Premise
        • 7.2.3.2. Cloud-Based
      • 7.2.4. Global Intellectual Property Fraud by: Enterprise (Value)
        • 7.2.4.1. Small and Medium Enterprises
        • 7.2.4.2. Large Enterprise
      • 7.2.5. Global Intellectual Property Fraud Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Intellectual Property Fraud: by Type(USD Million)
  • Table 2. Intellectual Property Fraud Copyright , by Region USD Million (2018-2023)
  • Table 3. Intellectual Property Fraud Trademark , by Region USD Million (2018-2023)
  • Table 4. Intellectual Property Fraud Patent , by Region USD Million (2018-2023)
  • Table 5. Intellectual Property Fraud Trade Secret Laws , by Region USD Million (2018-2023)
  • Table 6. Intellectual Property Fraud: by Application(USD Million)
  • Table 7. Intellectual Property Fraud Defence , by Region USD Million (2018-2023)
  • Table 8. Intellectual Property Fraud Government , by Region USD Million (2018-2023)
  • Table 9. Intellectual Property Fraud Banks & Financial Institutions , by Region USD Million (2018-2023)
  • Table 10. Intellectual Property Fraud Others , by Region USD Million (2018-2023)
  • Table 11. Intellectual Property Fraud: by Deployment Mode(USD Million)
  • Table 12. Intellectual Property Fraud On-Premise , by Region USD Million (2018-2023)
  • Table 13. Intellectual Property Fraud Cloud-Based , by Region USD Million (2018-2023)
  • Table 14. Intellectual Property Fraud: by Enterprise(USD Million)
  • Table 15. Intellectual Property Fraud Small and Medium Enterprises , by Region USD Million (2018-2023)
  • Table 16. Intellectual Property Fraud Large Enterprise , by Region USD Million (2018-2023)
  • Table 17. South America Intellectual Property Fraud, by Country USD Million (2018-2023)
  • Table 18. South America Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 19. South America Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 20. South America Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 21. South America Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 22. Brazil Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 23. Brazil Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 24. Brazil Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 25. Brazil Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 26. Argentina Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 27. Argentina Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 28. Argentina Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 29. Argentina Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 30. Rest of South America Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 31. Rest of South America Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 32. Rest of South America Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 33. Rest of South America Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 34. Asia Pacific Intellectual Property Fraud, by Country USD Million (2018-2023)
  • Table 35. Asia Pacific Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 36. Asia Pacific Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 37. Asia Pacific Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 38. Asia Pacific Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 39. China Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 40. China Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 41. China Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 42. China Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 43. Japan Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 44. Japan Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 45. Japan Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 46. Japan Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 47. India Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 48. India Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 49. India Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 50. India Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 51. South Korea Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 52. South Korea Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 53. South Korea Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 54. South Korea Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 55. Taiwan Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 56. Taiwan Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 57. Taiwan Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 58. Taiwan Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 59. Australia Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 60. Australia Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 61. Australia Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 62. Australia Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 63. Rest of Asia-Pacific Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 64. Rest of Asia-Pacific Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 65. Rest of Asia-Pacific Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 66. Rest of Asia-Pacific Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 67. Europe Intellectual Property Fraud, by Country USD Million (2018-2023)
  • Table 68. Europe Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 69. Europe Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 70. Europe Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 71. Europe Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 72. Germany Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 73. Germany Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 74. Germany Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 75. Germany Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 76. France Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 77. France Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 78. France Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 79. France Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 80. Italy Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 81. Italy Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 82. Italy Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 83. Italy Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 84. United Kingdom Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 85. United Kingdom Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 86. United Kingdom Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 87. United Kingdom Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 88. Netherlands Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 89. Netherlands Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 90. Netherlands Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 91. Netherlands Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 92. Rest of Europe Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 93. Rest of Europe Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 94. Rest of Europe Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 95. Rest of Europe Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 96. MEA Intellectual Property Fraud, by Country USD Million (2018-2023)
  • Table 97. MEA Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 98. MEA Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 99. MEA Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 100. MEA Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 101. Middle East Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 102. Middle East Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 103. Middle East Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 104. Middle East Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 105. Africa Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 106. Africa Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 107. Africa Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 108. Africa Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 109. North America Intellectual Property Fraud, by Country USD Million (2018-2023)
  • Table 110. North America Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 111. North America Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 112. North America Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 113. North America Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 114. United States Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 115. United States Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 116. United States Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 117. United States Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 118. Canada Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 119. Canada Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 120. Canada Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 121. Canada Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 122. Mexico Intellectual Property Fraud, by Type USD Million (2018-2023)
  • Table 123. Mexico Intellectual Property Fraud, by Application USD Million (2018-2023)
  • Table 124. Mexico Intellectual Property Fraud, by Deployment Mode USD Million (2018-2023)
  • Table 125. Mexico Intellectual Property Fraud, by Enterprise USD Million (2018-2023)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Intellectual Property Fraud: by Type(USD Million)
  • Table 137. Intellectual Property Fraud Copyright , by Region USD Million (2025-2030)
  • Table 138. Intellectual Property Fraud Trademark , by Region USD Million (2025-2030)
  • Table 139. Intellectual Property Fraud Patent , by Region USD Million (2025-2030)
  • Table 140. Intellectual Property Fraud Trade Secret Laws , by Region USD Million (2025-2030)
  • Table 141. Intellectual Property Fraud: by Application(USD Million)
  • Table 142. Intellectual Property Fraud Defence , by Region USD Million (2025-2030)
  • Table 143. Intellectual Property Fraud Government , by Region USD Million (2025-2030)
  • Table 144. Intellectual Property Fraud Banks & Financial Institutions , by Region USD Million (2025-2030)
  • Table 145. Intellectual Property Fraud Others , by Region USD Million (2025-2030)
  • Table 146. Intellectual Property Fraud: by Deployment Mode(USD Million)
  • Table 147. Intellectual Property Fraud On-Premise , by Region USD Million (2025-2030)
  • Table 148. Intellectual Property Fraud Cloud-Based , by Region USD Million (2025-2030)
  • Table 149. Intellectual Property Fraud: by Enterprise(USD Million)
  • Table 150. Intellectual Property Fraud Small and Medium Enterprises , by Region USD Million (2025-2030)
  • Table 151. Intellectual Property Fraud Large Enterprise , by Region USD Million (2025-2030)
  • Table 152. South America Intellectual Property Fraud, by Country USD Million (2025-2030)
  • Table 153. South America Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 154. South America Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 155. South America Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 156. South America Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 157. Brazil Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 158. Brazil Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 159. Brazil Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 160. Brazil Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 161. Argentina Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 162. Argentina Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 163. Argentina Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 164. Argentina Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 165. Rest of South America Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 166. Rest of South America Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 167. Rest of South America Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 168. Rest of South America Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 169. Asia Pacific Intellectual Property Fraud, by Country USD Million (2025-2030)
  • Table 170. Asia Pacific Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 171. Asia Pacific Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 172. Asia Pacific Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 173. Asia Pacific Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 174. China Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 175. China Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 176. China Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 177. China Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 178. Japan Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 179. Japan Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 180. Japan Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 181. Japan Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 182. India Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 183. India Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 184. India Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 185. India Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 186. South Korea Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 187. South Korea Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 188. South Korea Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 189. South Korea Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 190. Taiwan Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 191. Taiwan Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 192. Taiwan Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 193. Taiwan Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 194. Australia Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 195. Australia Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 196. Australia Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 197. Australia Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 198. Rest of Asia-Pacific Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 199. Rest of Asia-Pacific Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 200. Rest of Asia-Pacific Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 201. Rest of Asia-Pacific Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 202. Europe Intellectual Property Fraud, by Country USD Million (2025-2030)
  • Table 203. Europe Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 204. Europe Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 205. Europe Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 206. Europe Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 207. Germany Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 208. Germany Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 209. Germany Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 210. Germany Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 211. France Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 212. France Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 213. France Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 214. France Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 215. Italy Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 216. Italy Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 217. Italy Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 218. Italy Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 219. United Kingdom Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 220. United Kingdom Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 221. United Kingdom Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 222. United Kingdom Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 223. Netherlands Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 224. Netherlands Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 225. Netherlands Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 226. Netherlands Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 227. Rest of Europe Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 228. Rest of Europe Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 229. Rest of Europe Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 230. Rest of Europe Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 231. MEA Intellectual Property Fraud, by Country USD Million (2025-2030)
  • Table 232. MEA Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 233. MEA Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 234. MEA Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 235. MEA Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 236. Middle East Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 237. Middle East Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 238. Middle East Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 239. Middle East Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 240. Africa Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 241. Africa Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 242. Africa Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 243. Africa Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 244. North America Intellectual Property Fraud, by Country USD Million (2025-2030)
  • Table 245. North America Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 246. North America Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 247. North America Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 248. North America Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 249. United States Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 250. United States Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 251. United States Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 252. United States Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 253. Canada Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 254. Canada Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 255. Canada Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 256. Canada Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 257. Mexico Intellectual Property Fraud, by Type USD Million (2025-2030)
  • Table 258. Mexico Intellectual Property Fraud, by Application USD Million (2025-2030)
  • Table 259. Mexico Intellectual Property Fraud, by Deployment Mode USD Million (2025-2030)
  • Table 260. Mexico Intellectual Property Fraud, by Enterprise USD Million (2025-2030)
  • Table 261. Research Programs/Design for This Report
  • Table 262. Key Data Information from Secondary Sources
  • Table 263. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Intellectual Property Fraud: by Type USD Million (2018-2023)
  • Figure 5. Global Intellectual Property Fraud: by Application USD Million (2018-2023)
  • Figure 6. Global Intellectual Property Fraud: by Deployment Mode USD Million (2018-2023)
  • Figure 7. Global Intellectual Property Fraud: by Enterprise USD Million (2018-2023)
  • Figure 8. South America Intellectual Property Fraud Share (%), by Country
  • Figure 9. Asia Pacific Intellectual Property Fraud Share (%), by Country
  • Figure 10. Europe Intellectual Property Fraud Share (%), by Country
  • Figure 11. MEA Intellectual Property Fraud Share (%), by Country
  • Figure 12. North America Intellectual Property Fraud Share (%), by Country
  • Figure 13. Global Intellectual Property Fraud share by Players 2023 (%)
  • Figure 14. Global Intellectual Property Fraud share by Players (Top 3) 2023(%)
  • Figure 15. Global Intellectual Property Fraud share by Players (Top 5) 2023(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Experian Information Solutions, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Experian Information Solutions, Inc. (United States) Revenue: by Geography 2023
  • Figure 19. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. SAS Institute Inc. (United States) Revenue: by Geography 2023
  • Figure 21. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 22. Oracle (United States) Revenue: by Geography 2023
  • Figure 23. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 24. IBM (United States) Revenue: by Geography 2023
  • Figure 25. Fair Isaac Corporation. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Fair Isaac Corporation. (United States) Revenue: by Geography 2023
  • Figure 27. Fiserv, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Fiserv, Inc. (United States) Revenue: by Geography 2023
  • Figure 29. FIS. (United States) Revenue, Net Income and Gross profit
  • Figure 30. FIS. (United States) Revenue: by Geography 2023
  • Figure 31. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 32. SAP SE (Germany) Revenue: by Geography 2023
  • Figure 33. ACI Worldwide, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. ACI Worldwide, Inc. (United States) Revenue: by Geography 2023
  • Figure 35. NCR Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 36. NCR Corporation (United States) Revenue: by Geography 2023
  • Figure 37. Global Intellectual Property Fraud: by Type USD Million (2025-2030)
  • Figure 38. Global Intellectual Property Fraud: by Application USD Million (2025-2030)
  • Figure 39. Global Intellectual Property Fraud: by Deployment Mode USD Million (2025-2030)
  • Figure 40. Global Intellectual Property Fraud: by Enterprise USD Million (2025-2030)
  • Figure 41. South America Intellectual Property Fraud Share (%), by Country
  • Figure 42. Asia Pacific Intellectual Property Fraud Share (%), by Country
  • Figure 43. Europe Intellectual Property Fraud Share (%), by Country
  • Figure 44. MEA Intellectual Property Fraud Share (%), by Country
  • Figure 45. North America Intellectual Property Fraud Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Experian Information Solutions, Inc. (United States)
  • SAS Institute Inc. (United States)
  • Oracle (United States)
  • IBM (United States)
  • Fair Isaac Corporation. (United States)
  • Fiserv, Inc. (United States)
  • FIS. (United States)
  • SAP SE (Germany)
  • ACI Worldwide, Inc. (United States)
  • NCR Corporation (United States)
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Apr 2024 225 Pages 94 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Intellectual Property Fraud Market Quantitative research analysis
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Historical year: 2018-2023; Base year: 2023; Forecast period: 2024 to 2030
Companies that are profiled in Global Intellectual Property Fraud Market are Experian Information Solutions, Inc. (United States), SAS Institute Inc. (United States), Oracle (United States), IBM (United States), Fair Isaac Corporation. (United States), Fiserv, Inc. (United States), FIS. (United States), SAP SE (Germany), ACI Worldwide, Inc. (United States) and NCR Corporation (United States) etc.
Defence segment in Global market to hold robust market share owing to "Protect Assets From Duplicity ".
AMA Research predicts that United States Players will contribute to the maximum growth of Global Intellectual Property Fraud market throughout the forecasted period.

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