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Dark Web Intelligence Market By Component, By Deployment Model, By Enterprise Size, By Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2021-2031

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    Report

  • 350 Pages
  • August 2022
  • Region: Global
  • Allied Market Research
  • ID: 5671247
The dark web provides the ability to hide the user’s identity, network traffic, and data exchanged through it. Users outside the dark web can’t access it using standard web browsers but through special software, such as The Onion Router (TOR), Invisible Internet Project (I2P), and Freenet. Dark web is evidence of Crime-as-a-Service (CaaS), as it provides most of the items commonly found in conventional black markets. In this regard, some cyber-criminals act as crypto currency providers to make it easier for others to perform criminal activities. Furthermore, cyber security threats, hacking communities are active on dark web platforms, where hackers manipulate information, in addition to circulating hacking tools, ransomware, breached data, malware, and planning large-scale cyber-attacks, resembling a pattern of an organized crime. Furthermore, dark web intelligence solution is used to proactively fight cyber-fraud and has proven to significantly reduce losses. This intelligence comprises three sets of data feeds curated from the dark & deep web, botnets, malware networks, and other technical infrastructure used by cyber-criminals or fraudsters to commit financial crime. Dark web intelligence solution offers actionable intelligence to protect against botnet-related threats as well as identify network and application-based vulnerabilities.

Factor such as rise of double extortion ransom ware and rapid digitization in business processes contributing toward the growth as well as advent of crypto currencies, such as Bitcoin, drive the growth of the market. Furthermore, surge in demand for multi-layered security across organization and rise in demand for advanced technology are expected to provide lucrative growth opportunities for the market. In addition, increase in adoption of cloud-based services to streamline business process also creates numerous opportunities towards the market growth. However, lack of awareness regarding cyber fraud and high cost of innovation and budget constraints hamper the market growth.

The dark web intelligence market is segmented into component, deployment model, enterprise size, industry vertical, and region. By component, the market is bifurcated into solution and services. On the basis of deployment model, it is divided into cloud and on-premises. According to enterprise size, it is fragmented into SMEs and large enterprises. As per industry vertical, it is segregated into BFSI, healthcare, IT & telecom, government, manufacturing, and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players operating in the dark web intelligence market include, Alert Logic, Blueliv, Carbonite, Inc., DarkOwl, Digital Shadows, Echosec, Enigma, Flashpoint, IntSights, KELA, NICE Actimize, Proofpoint, Inc., Searchlight Security, Sixgill, Terbium Labs, Verisign, and ZeroFox. These major players have adopted various development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the dark web intelligence market globally.

KEY BENEFITS FOR STAKEHOLDERS

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the dark web intelligence market analysis from 2021 to 2031 to identify the prevailing dark web intelligence market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the dark web intelligence market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global dark web intelligence market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Component

  • Solution
  • Services

By Deployment Model

  • On-premise
  • Cloud

By Enterprise Size

  • Large Enterprises
  • SMEs

By Industry Vertical

  • BFSI
  • Healthcare
  • Government
  • IT and Telecom
  • Manufacturing
  • Others

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Netherlands
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

Key Market Players

  • Alert Logic
  • Blueliv
  • Carbonite, Inc.
  • DarkOwl
  • Digital Shadows
  • Echosec
  • Enigma
  • Flashpoint
  • IntSights
  • KELA
  • NICE Actimize
  • Proofpoint, Inc.
  • Searchlight Security
  • Sixgill
  • Terbium Labs
  • Verisign
  • ZeroFox

Table of Contents

CHAPTER 1: INTRODUCTION
1.1.Report description
1.2.Key market segments
1.3.Key benefits to the stakeholders
1.4.Research Methodology
1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1.Key findings of the study
2.2.CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1.Market definition and scope
3.2.Key findings
3.2.1.Top investment pockets
3.3.Porter’s five forces analysis
3.4.Top player positioning
3.5.Market dynamics
3.5.1.Drivers
3.5.2.Restraints
3.5.3.Opportunities
3.6.COVID-19 Impact Analysis on the market
3.7.Patent Landscape
3.8.Key Regulation Analysis
CHAPTER 4: DARK WEB INTELLIGENCE MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Solution
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market analysis by country
4.3 Services
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market analysis by country
CHAPTER 5: DARK WEB INTELLIGENCE MARKET, BY DEPLOYMENT MODEL
5.1 Overview
5.1.1 Market size and forecast
5.2 On-premise
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market analysis by country
5.3 Cloud
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market analysis by country
CHAPTER 6: DARK WEB INTELLIGENCE MARKET, BY ENTERPRISE SIZE
6.1 Overview
6.1.1 Market size and forecast
6.2 Large Enterprises
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market analysis by country
6.3 SMEs
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market analysis by country
CHAPTER 7: DARK WEB INTELLIGENCE MARKET, BY INDUSTRY VERTICAL
7.1 Overview
7.1.1 Market size and forecast
7.2 BFSI
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by region
7.2.3 Market analysis by country
7.3 Healthcare
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by region
7.3.3 Market analysis by country
7.4 Government
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by region
7.4.3 Market analysis by country
7.5 IT and Telecom
7.5.1 Key market trends, growth factors and opportunities
7.5.2 Market size and forecast, by region
7.5.3 Market analysis by country
7.6 Manufacturing
7.6.1 Key market trends, growth factors and opportunities
7.6.2 Market size and forecast, by region
7.6.3 Market analysis by country
7.7 Others
7.7.1 Key market trends, growth factors and opportunities
7.7.2 Market size and forecast, by region
7.7.3 Market analysis by country
CHAPTER 8: DARK WEB INTELLIGENCE MARKET, BY REGION
8.1 Overview
8.1.1 Market size and forecast
8.2 North America
8.2.1 Key trends and opportunities
8.2.2 North America Market size and forecast, by Component
8.2.3 North America Market size and forecast, by Deployment Model
8.2.4 North America Market size and forecast, by Enterprise Size
8.2.5 North America Market size and forecast, by Industry Vertical
8.2.6 North America Market size and forecast, by country
8.2.6.1 U.S.
8.2.6.1.1 Market size and forecast, by Component
8.2.6.1.2 Market size and forecast, by Deployment Model
8.2.6.1.3 Market size and forecast, by Enterprise Size
8.2.6.1.4 Market size and forecast, by Industry Vertical
8.2.6.2 Canada
8.2.6.2.1 Market size and forecast, by Component
8.2.6.2.2 Market size and forecast, by Deployment Model
8.2.6.2.3 Market size and forecast, by Enterprise Size
8.2.6.2.4 Market size and forecast, by Industry Vertical
8.3 Europe
8.3.1 Key trends and opportunities
8.3.2 Europe Market size and forecast, by Component
8.3.3 Europe Market size and forecast, by Deployment Model
8.3.4 Europe Market size and forecast, by Enterprise Size
8.3.5 Europe Market size and forecast, by Industry Vertical
8.3.6 Europe Market size and forecast, by country
8.3.6.1 UK
8.3.6.1.1 Market size and forecast, by Component
8.3.6.1.2 Market size and forecast, by Deployment Model
8.3.6.1.3 Market size and forecast, by Enterprise Size
8.3.6.1.4 Market size and forecast, by Industry Vertical
8.3.6.2 Germany
8.3.6.2.1 Market size and forecast, by Component
8.3.6.2.2 Market size and forecast, by Deployment Model
8.3.6.2.3 Market size and forecast, by Enterprise Size
8.3.6.2.4 Market size and forecast, by Industry Vertical
8.3.6.3 France
8.3.6.3.1 Market size and forecast, by Component
8.3.6.3.2 Market size and forecast, by Deployment Model
8.3.6.3.3 Market size and forecast, by Enterprise Size
8.3.6.3.4 Market size and forecast, by Industry Vertical
8.3.6.4 Spain
8.3.6.4.1 Market size and forecast, by Component
8.3.6.4.2 Market size and forecast, by Deployment Model
8.3.6.4.3 Market size and forecast, by Enterprise Size
8.3.6.4.4 Market size and forecast, by Industry Vertical
8.3.6.5 Netherlands
8.3.6.5.1 Market size and forecast, by Component
8.3.6.5.2 Market size and forecast, by Deployment Model
8.3.6.5.3 Market size and forecast, by Enterprise Size
8.3.6.5.4 Market size and forecast, by Industry Vertical
8.3.6.6 Rest of Europe
8.3.6.6.1 Market size and forecast, by Component
8.3.6.6.2 Market size and forecast, by Deployment Model
8.3.6.6.3 Market size and forecast, by Enterprise Size
8.3.6.6.4 Market size and forecast, by Industry Vertical
8.4 Asia-Pacific
8.4.1 Key trends and opportunities
8.4.2 Asia-Pacific Market size and forecast, by Component
8.4.3 Asia-Pacific Market size and forecast, by Deployment Model
8.4.4 Asia-Pacific Market size and forecast, by Enterprise Size
8.4.5 Asia-Pacific Market size and forecast, by Industry Vertical
8.4.6 Asia-Pacific Market size and forecast, by country
8.4.6.1 China
8.4.6.1.1 Market size and forecast, by Component
8.4.6.1.2 Market size and forecast, by Deployment Model
8.4.6.1.3 Market size and forecast, by Enterprise Size
8.4.6.1.4 Market size and forecast, by Industry Vertical
8.4.6.2 India
8.4.6.2.1 Market size and forecast, by Component
8.4.6.2.2 Market size and forecast, by Deployment Model
8.4.6.2.3 Market size and forecast, by Enterprise Size
8.4.6.2.4 Market size and forecast, by Industry Vertical
8.4.6.3 Japan
8.4.6.3.1 Market size and forecast, by Component
8.4.6.3.2 Market size and forecast, by Deployment Model
8.4.6.3.3 Market size and forecast, by Enterprise Size
8.4.6.3.4 Market size and forecast, by Industry Vertical
8.4.6.4 Australia
8.4.6.4.1 Market size and forecast, by Component
8.4.6.4.2 Market size and forecast, by Deployment Model
8.4.6.4.3 Market size and forecast, by Enterprise Size
8.4.6.4.4 Market size and forecast, by Industry Vertical
8.4.6.5 South Korea
8.4.6.5.1 Market size and forecast, by Component
8.4.6.5.2 Market size and forecast, by Deployment Model
8.4.6.5.3 Market size and forecast, by Enterprise Size
8.4.6.5.4 Market size and forecast, by Industry Vertical
8.4.6.6 Rest of Asia-Pacific
8.4.6.6.1 Market size and forecast, by Component
8.4.6.6.2 Market size and forecast, by Deployment Model
8.4.6.6.3 Market size and forecast, by Enterprise Size
8.4.6.6.4 Market size and forecast, by Industry Vertical
8.5 LAMEA
8.5.1 Key trends and opportunities
8.5.2 LAMEA Market size and forecast, by Component
8.5.3 LAMEA Market size and forecast, by Deployment Model
8.5.4 LAMEA Market size and forecast, by Enterprise Size
8.5.5 LAMEA Market size and forecast, by Industry Vertical
8.5.6 LAMEA Market size and forecast, by country
8.5.6.1 Latin America
8.5.6.1.1 Market size and forecast, by Component
8.5.6.1.2 Market size and forecast, by Deployment Model
8.5.6.1.3 Market size and forecast, by Enterprise Size
8.5.6.1.4 Market size and forecast, by Industry Vertical
8.5.6.2 Middle East
8.5.6.2.1 Market size and forecast, by Component
8.5.6.2.2 Market size and forecast, by Deployment Model
8.5.6.2.3 Market size and forecast, by Enterprise Size
8.5.6.2.4 Market size and forecast, by Industry Vertical
8.5.6.3 Africa
8.5.6.3.1 Market size and forecast, by Component
8.5.6.3.2 Market size and forecast, by Deployment Model
8.5.6.3.3 Market size and forecast, by Enterprise Size
8.5.6.3.4 Market size and forecast, by Industry Vertical
CHAPTER 9: COMPANY LANDSCAPE
9.1. Introduction
9.2. Top winning strategies
9.3. Product Mapping of Top 10 Player
9.4. Competitive Dashboard
9.5. Competitive Heatmap
9.6. Key developments
CHAPTER 10: COMPANY PROFILES
10.1 Alert Logic
10.1.1 Company overview
10.1.2 Company snapshot
10.1.3 Operating business segments
10.1.4 Product portfolio
10.1.5 Business performance
10.1.6 Key strategic moves and developments
10.2 Blueliv
10.2.1 Company overview
10.2.2 Company snapshot
10.2.3 Operating business segments
10.2.4 Product portfolio
10.2.5 Business performance
10.2.6 Key strategic moves and developments
10.3 Carbonite, Inc.
10.3.1 Company overview
10.3.2 Company snapshot
10.3.3 Operating business segments
10.3.4 Product portfolio
10.3.5 Business performance
10.3.6 Key strategic moves and developments
10.4 DarkOwl
10.4.1 Company overview
10.4.2 Company snapshot
10.4.3 Operating business segments
10.4.4 Product portfolio
10.4.5 Business performance
10.4.6 Key strategic moves and developments
10.5 Digital Shadows
10.5.1 Company overview
10.5.2 Company snapshot
10.5.3 Operating business segments
10.5.4 Product portfolio
10.5.5 Business performance
10.5.6 Key strategic moves and developments
10.6 Echosec
10.6.1 Company overview
10.6.2 Company snapshot
10.6.3 Operating business segments
10.6.4 Product portfolio
10.6.5 Business performance
10.6.6 Key strategic moves and developments
10.7 Enigma
10.7.1 Company overview
10.7.2 Company snapshot
10.7.3 Operating business segments
10.7.4 Product portfolio
10.7.5 Business performance
10.7.6 Key strategic moves and developments
10.8 Flashpoint
10.8.1 Company overview
10.8.2 Company snapshot
10.8.3 Operating business segments
10.8.4 Product portfolio
10.8.5 Business performance
10.8.6 Key strategic moves and developments
10.9 IntSights
10.9.1 Company overview
10.9.2 Company snapshot
10.9.3 Operating business segments
10.9.4 Product portfolio
10.9.5 Business performance
10.9.6 Key strategic moves and developments
10.10 KELA
10.10.1 Company overview
10.10.2 Company snapshot
10.10.3 Operating business segments
10.10.4 Product portfolio
10.10.5 Business performance
10.10.6 Key strategic moves and developments
10.11 NICE Actimize
10.11.1 Company overview
10.11.2 Company snapshot
10.11.3 Operating business segments
10.11.4 Product portfolio
10.11.5 Business performance
10.11.6 Key strategic moves and developments
10.12 Proofpoint, Inc.
10.12.1 Company overview
10.12.2 Company snapshot
10.12.3 Operating business segments
10.12.4 Product portfolio
10.12.5 Business performance
10.12.6 Key strategic moves and developments
10.13 Searchlight Security
10.13.1 Company overview
10.13.2 Company snapshot
10.13.3 Operating business segments
10.13.4 Product portfolio
10.13.5 Business performance
10.13.6 Key strategic moves and developments
10.14 Sixgill
10.14.1 Company overview
10.14.2 Company snapshot
10.14.3 Operating business segments
10.14.4 Product portfolio
10.14.5 Business performance
10.14.6 Key strategic moves and developments
10.15 Terbium Labs
10.15.1 Company overview
10.15.2 Company snapshot
10.15.3 Operating business segments
10.15.4 Product portfolio
10.15.5 Business performance
10.15.6 Key strategic moves and developments
10.16 Verisign
10.16.1 Company overview
10.16.2 Company snapshot
10.16.3 Operating business segments
10.16.4 Product portfolio
10.16.5 Business performance
10.16.6 Key strategic moves and developments
10.17 ZeroFox
10.17.1 Company overview
10.17.2 Company snapshot
10.17.3 Operating business segments
10.17.4 Product portfolio
10.17.5 Business performance
10.17.6 Key strategic moves and developments
List of Tables
Table 1. Global Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 2. Machine Learning in Banking Market Size, for Solution, by Region, 2021-2031 ($Million)
Table 3. Machine Learning in Banking Market for Solution, by Country, 2021-2031 ($Million)
Table 4. Machine Learning in Banking Market Size, for Service, by Region, 2021-2031 ($Million)
Table 5. Machine Learning in Banking Market for Service, by Country, 2021-2031 ($Million)
Table 6. Global Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 7. Machine Learning in Banking Market Size, for Large Enterprises, by Region, 2021-2031 ($Million)
Table 8. Machine Learning in Banking Market for Large Enterprises, by Country, 2021-2031 ($Million)
Table 9. Machine Learning in Banking Market Size, for Small and Medium-Sized Enterprises (Smes), by Region, 2021-2031 ($Million)
Table 10. Machine Learning in Banking Market for Small and Medium-Sized Enterprises (Smes), by Country, 2021-2031 ($Million)
Table 11. Global Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 12. Machine Learning in Banking Market Size, for Credit Scoring, by Region, 2021-2031 ($Million)
Table 13. Machine Learning in Banking Market for Credit Scoring, by Country, 2021-2031 ($Million)
Table 14. Machine Learning in Banking Market Size, for Risk Management Compliance and Security, by Region, 2021-2031 ($Million)
Table 15. Machine Learning in Banking Market for Risk Management Compliance and Security, by Country, 2021-2031 ($Million)
Table 16. Machine Learning in Banking Market Size, for Payments and Transactions, by Region, 2021-2031 ($Million)
Table 17. Machine Learning in Banking Market for Payments and Transactions, by Country, 2021-2031 ($Million)
Table 18. Machine Learning in Banking Market Size, for Customer Service, by Region, 2021-2031 ($Million)
Table 19. Machine Learning in Banking Market for Customer Service, by Country, 2021-2031 ($Million)
Table 20. Machine Learning in Banking Market Size, for Others, by Region, 2021-2031 ($Million)
Table 21. Machine Learning in Banking Market for Others, by Country, 2021-2031 ($Million)
Table 22. Machine Learning in Banking Market, by Region, 2021-2031 ($Million)
Table 23. North America Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 24. North America Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 25. North America Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 26. North America Machine Learning in Banking Market, by Country, 2021-2031 ($Million)
Table 27. U.S. Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 28. U.S. Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 29. U.S. Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 30. Canada Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 31. Canada Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 32. Canada Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 33. Europe Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 34. Europe Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 35. Europe Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 36. Europe Machine Learning in Banking Market, by Country, 2021-2031 ($Million)
Table 37. UK Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 38. UK Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 39. UK Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 40. Germany Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 41. Germany Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 42. Germany Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 43. France Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 44. France Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 45. France Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 46. Italy Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 47. Italy Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 48. Italy Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 49. Spain Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 50. Spain Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 51. Spain Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 52. Netherlands Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 53. Netherlands Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 54. Netherlands Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 55. Rest of Europe Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 56. Rest of Europe Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 57. Rest of Europe Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 58. Asia-Pacific Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 59. Asia-Pacific Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 60. Asia-Pacific Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 61. Asia-Pacific Machine Learning in Banking Market, by Country, 2021-2031 ($Million)
Table 62. China Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 63. China Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 64. China Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 65. Japan Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 66. Japan Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 67. Japan Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 68. India Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 69. India Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 70. India Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 71. Australia Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 72. Australia Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 73. Australia Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 74. South Korea Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 75. South Korea Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 76. South Korea Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 77. Rest of Asia-Pacific Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 78. Rest of Asia-Pacific Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 79. Rest of Asia-Pacific Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 80. LAMEA Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 81. LAMEA Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 82. LAMEA Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 83. LAMEA Machine Learning in Banking Market, by Country, 2021-2031 ($Million)
Table 84. Latin America Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 85. Latin America Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 86. Latin America Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 87. Middle East Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 88. Middle East Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 89. Middle East Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 90. Africa Machine Learning in Banking Market, by Component, 2021-2031 ($Million)
Table 91. Africa Machine Learning in Banking Market, by Enterprise Size, 2021-2031 ($Million)
Table 92. Africa Machine Learning in Banking Market, by Application, 2021-2031 ($Million)
Table 93. Affirm, Inc.: Company Snapshot
Table 94. Affirm, Inc.: Operating Segments
Table 95. Affirm, Inc.: Product Portfolio
Table 96. Affirm, Inc.: Net Sales
Table 97. Affirm, Inc.: Key Stratergies
Table 98. Amazon Web Services, Inc.: Company Snapshot
Table 99. Amazon Web Services, Inc.: Operating Segments
Table 100. Amazon Web Services, Inc.: Product Portfolio
Table 101. Amazon Web Services, Inc.: Net Sales
Table 102. Amazon Web Services, Inc.: Key Stratergies
Table 103. Big Ml, Inc.: Company Snapshot
Table 104. Big Ml, Inc.: Operating Segments
Table 105. Big Ml, Inc.: Product Portfolio
Table 106. Big Ml, Inc.: Net Sales
Table 107. Big Ml, Inc.: Key Stratergies
Table 108. Cisco Systems, Inc.: Company Snapshot
Table 109. Cisco Systems, Inc.: Operating Segments
Table 110. Cisco Systems, Inc.: Product Portfolio
Table 111. Cisco Systems, Inc.: Net Sales
Table 112. Cisco Systems, Inc.: Key Stratergies
Table 113. Fico: Company Snapshot
Table 114. Fico: Operating Segments
Table 115. Fico: Product Portfolio
Table 116. Fico: Net Sales
Table 117. Fico: Key Stratergies
Table 118. Google LLC: Company Snapshot
Table 119. Google LLC: Operating Segments
Table 120. Google LLC: Product Portfolio
Table 121. Google LLC: Net Sales
Table 122. Google LLC: Key Stratergies
Table 123. Mindtree: Company Snapshot
Table 124. Mindtree: Operating Segments
Table 125. Mindtree: Product Portfolio
Table 126. Mindtree: Net Sales
Table 127. Mindtree: Key Stratergies
Table 128. Microsoft: Company Snapshot
Table 129. Microsoft: Operating Segments
Table 130. Microsoft: Product Portfolio
Table 131. Microsoft: Net Sales
Table 132. Microsoft: Key Stratergies
Table 133. Sap Se: Company Snapshot
Table 134. Sap Se: Operating Segments
Table 135. Sap Se: Product Portfolio
Table 136. Sap Se: Net Sales
Table 137. Sap Se: Key Stratergies
Table 138. Spd-Group: Company Snapshot
Table 139. Spd-Group: Operating Segments
Table 140. Spd-Group: Product Portfolio
Table 141. Spd-Group: Net Sales
Table 142. Spd-Group: Key Stratergies
List of Figures
Figure 1. Dark Web Intelligence Market Segmentation
Figure 2. Dark Web Intelligence Market,2021-2031
Figure 3. Dark Web Intelligence Market,2021-2031
Figure 4. Top Investment Pockets, by Region
Figure 5. Porter Five-1
Figure 6. Porter Five-2
Figure 7. Porter Five-3
Figure 8. Porter Five-4
Figure 9. Porter Five-5
Figure 10. Top Player Positioning
Figure 11. Dark Web Intelligence Market:Drivers, Restraints and Opportunities
Figure 12. Patent Analysis by Company
Figure 13. Patent Analysis by Country
Figure 14. Key Regulation Analysis
Figure 15. Dark Web Intelligence Market,By Component,2021(%)
Figure 16. Comparative Share Analysis of Solution Dark Web Intelligence Market,2021-2031(%)
Figure 17. Comparative Share Analysis of Services Dark Web Intelligence Market,2021-2031(%)
Figure 18. Dark Web Intelligence Market,By Deployment Model,2021(%)
Figure 19. Comparative Share Analysis of On-Premise Dark Web Intelligence Market,2021-2031(%)
Figure 20. Comparative Share Analysis of Cloud Dark Web Intelligence Market,2021-2031(%)
Figure 21. Dark Web Intelligence Market,By Enterprise Size,2021(%)
Figure 22. Comparative Share Analysis of Large Enterprises Dark Web Intelligence Market,2021-2031(%)
Figure 23. Comparative Share Analysis of SMEs Dark Web Intelligence Market,2021-2031(%)
Figure 24. Dark Web Intelligence Market,By Industry Vertical,2021(%)
Figure 25. Comparative Share Analysis of Bfsi Dark Web Intelligence Market,2021-2031(%)
Figure 26. Comparative Share Analysis of Healthcare Dark Web Intelligence Market,2021-2031(%)
Figure 27. Comparative Share Analysis of Government Dark Web Intelligence Market,2021-2031(%)
Figure 28. Comparative Share Analysis of IT and Telecom Dark Web Intelligence Market,2021-2031(%)
Figure 29. Comparative Share Analysis of Manufacturing Dark Web Intelligence Market,2021-2031(%)
Figure 30. Comparative Share Analysis of Others Dark Web Intelligence Market,2021-2031(%)
Figure 31. Dark Web Intelligence Market by Region,2021
Figure 32. U.S. Dark Web Intelligence Market,2021-2031($Million)
Figure 33. Canada Dark Web Intelligence Market,2021-2031($Million)
Figure 34. Uk Dark Web Intelligence Market,2021-2031($Million)
Figure 35. Germany Dark Web Intelligence Market,2021-2031($Million)
Figure 36. France Dark Web Intelligence Market,2021-2031($Million)
Figure 37. Spain Dark Web Intelligence Market,2021-2031($Million)
Figure 38. Netherlands Dark Web Intelligence Market,2021-2031($Million)
Figure 39. Rest of Europe Dark Web Intelligence Market,2021-2031($Million)
Figure 40. China Dark Web Intelligence Market,2021-2031($Million)
Figure 41. India Dark Web Intelligence Market,2021-2031($Million)
Figure 42. Japan Dark Web Intelligence Market,2021-2031($Million)
Figure 43. Australia Dark Web Intelligence Market,2021-2031($Million)
Figure 44. South Korea Dark Web Intelligence Market,2021-2031($Million)
Figure 45. Rest of Asia-Pacific Dark Web Intelligence Market,2021-2031($Million)
Figure 46. Latin America Dark Web Intelligence Market,2021-2031($Million)
Figure 47. Middle East Dark Web Intelligence Market,2021-2031($Million)
Figure 48. Africa Dark Web Intelligence Market,2021-2031($Million)
Figure 49. Top Winning Strategies, by Year
Figure 50. Top Winning Strategies, by Development
Figure 51. Top Winning Strategies, by Company
Figure 52. Product Mapping of Top 10 Players
Figure 53. Competitive Dashboard
Figure 54. Competitive Heatmap of Top 10 Key Players
Figure 55. Alert Logic.: Net Sales ,($Million)
Figure 56. Blueliv.: Net Sales ,($Million)
Figure 57. Carbonite, Inc..: Net Sales ,($Million)
Figure 58. Darkowl.: Net Sales ,($Million)
Figure 59. Digital Shadows.: Net Sales ,($Million)
Figure 60. Echosec.: Net Sales ,($Million)
Figure 61. Enigma.: Net Sales ,($Million)
Figure 62. Flashpoint.: Net Sales ,($Million)
Figure 63. Intsights.: Net Sales ,($Million)
Figure 64. Kela.: Net Sales ,($Million)
Figure 65. Nice Actimize.: Net Sales ,($Million)
Figure 66. Proofpoint, Inc..: Net Sales ,($Million)
Figure 67. Searchlight Security.: Net Sales ,($Million)
Figure 68. Sixgill.: Net Sales ,($Million)
Figure 69. Terbium Labs.: Net Sales ,($Million)
Figure 70. Verisign.: Net Sales ,($Million)
Figure 71. Zerofox.: Net Sales ,($Million)

Executive Summary

According to the report, titled, “Dark Web Intelligence Market," the dark web intelligence market was valued at $341.70 million in 2021, and is estimated to reach $2.30 billion by 2031, growing at a CAGR of 21.3% from 2022 to 2031.

The global dark web intelligence market is expected to grow at a high rate due to rise in cyber fraud in recent years. The introduction of crypto currencies, such as Bitcoin and Etherium has boosted the demand for dark web intelligence solutions, as ransoms are paid in crypto currency due to its untraceable nature. Furthermore, technical advancements in the field of cyber-security, antivirus, and malware protection have had an impact on the Dark Web Intelligence Market Size, which is expected to create the need for dark web intelligence solutions for mobile devices. Thus, driving the growth of the market. In addition, industries are shifting businesses over cloud, as the popularity of cloud-based operations is growing significantly. Multiple technologies are publicly available that allow ransomware attackers to locate misconfigured cloud infrastructure on the Internet. As a result, it is critical for businesses to implement multilayer security solutions. Furthermore, robust dark web intelligence is critical in dealing with such issues.

On the basis of enterprise size, the large enterprises dominated the overall dark web intelligence industry in 2021 and is expected to continue this trend during the forecast period. There is an increase in the adoption of dark web intelligence in large enterprises to operate a business operation safely and securely. Furthermore, large enterprises are integrating their large volume of data in the cloud to augment their speed, accuracy, and value chain scalability, which is opportunistic for the market growth. However, the SME’s is expected to witness the highest dark web intelligence market growth in the upcoming year. The adoption of dark web intelligence is expected to increase to optimize the business capabilities of small & medium sized enterprises. Moreover, continuous rise in number of government initiatives through various digital SME campaigns throughout the world fuel the growth of the market.

Depending on industry vertical, the BFSI sector dominated the Dark Web Intelligence Market Share in 2021 and is expected to continue this trend during the forecast period. There is a fast acceleration in adoption of dark web intelligence in the BFSI sector. As it is the prime target of any cyber-attack due to an enormous quantity of critical value data (CVD) related to employees and clients. It has become essential for financial institutions to adopt dark web intelligence services to protect their data. However, IT and Telecom sector is expected to witness the highest growth in the Dark Web Intelligence Market Forecast period. The IT and Telecom businesses are moving toward digitization and technology initiatives motivated by the global pandemic, which is expected to provide lucrative growth opportunities for the dark web intelligence market in the upcoming years. Furthermore, powerful analysis tools and capabilities aid security analysts, threat hunters, and IT staff to evaluate and block follow-on attacks much more quickly. Such benefits drive the growth of the market.

The dark web intelligence market was valued at $341.70 million in 2022, and is projected to reach $2,300.10 million by 2031, registering a CAGR of 21.3%. The current estimation of 2030 is projected to be higher than pre-COVID-19 estimates. The pandemic has caused recessionary economy that has forced various enterprises across the globe to dramatically and rapidly shift their operations. Industries around the globe are being severely affected by the COVID-19-induced recession; however, impact on the technology sector during the crisis was comparatively lesser than the rest of the economy. In addition, lockdowns have encouraged proliferation of emerging technologies, such as dark web intelligence. However, despite the financial fraud and cyber concern during the pandemic around the global, various organizations adopted dark web intelligence solution to tackle various cyber threat and enhance business operations. Furthermore, dark web intelligence enables end-to-end business operation management while improving business agility, streamlining processes, and securing the future of enterprises. For instance, in February 2021, Volante Global, a multi-class and multi-territory international managing general agent (MGA) platform, launched the innovative cyber ransomware solution, Cyber LockoutSM, which combines ransomware insurance cover with the latest cyber security technology. It is designed specifically to greatly reduce an organization’s exposure to malware attacks, including ransomware. Such developments are expected to enhance the growth of the market.

Key Findings of the Study

  • By component, the solution segment dominated the dark web intelligence market in 2021. However, the services segment is expected to exhibit significant growth during the forecast period.
  • On the basis of deployment mode, the on-premise segment dominated the Dark web intelligence market in 2021; However, the cloud segment is expected to witness the highest growth rate during the forecast period.
  • Depending on organizational size, the large enterprises generated the highest revenue in 2021. However, the SMEs segment is expected to witness the highest growth rate in the near future.
  • Depending on industry vertical, the BFSI industry generated the highest revenue in 2021. However, the IT and Telecom industry is expected to witness the highest growth rate in the near future.
  • Region-wise, the Dark Web Intelligence Industry market was dominated by North America in 2021. However, Asia-Pacific is expected to witness significant growth in the coming years.
  • This report gives an in-depth profile of some key market players in the dark web intelligence market, include Alert Logic, Blueliv, Carbonite, Inc., DarkOwl, Digital Shadows, Echosec, Enigma, Flashpoint, IntSights, KELA, NICE Actimize, Proofpoint, Inc., Searchlight Security, Sixgill, Terbium Labs, Verisign, and ZeroFox. This study includes market trends, Dark Web Intelligence Market Analysis, and future estimations to determine the imminent investment pockets.

Companies Mentioned

  • Alert Logic
  • Blueliv
  • Carbonite, Inc.
  • Darkowl
  • Digital Shadows
  • Echosec
  • Enigma
  • Flashpoint
  • Intsights
  • Kela
  • Nice Actimize
  • Proofpoint, Inc.
  • Searchlight Security
  • Sixgill
  • Terbium Labs
  • Verisign
  • Zerofox

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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