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PUBLISHER: UnivDatos Market Insights Pvt Ltd | PRODUCT CODE: 1272663

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PUBLISHER: UnivDatos Market Insights Pvt Ltd | PRODUCT CODE: 1272663

Dark Web Intelligence Market: Current Analysis and Forecast (2022-2028)

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Dark Web intelligence is employed to prevent fraud and has been shown to significantly lower losses. It has proven to reduce losses related to cyber security. This intelligence contains three sets of data feeds curated from the Dark and Deep Web, malware networks, botnets, and other technical infrastructure used by cybercriminals and fraudsters to commit financial crimes.

The dark web intelligence market is expected to grow at a steady rate of around 20% owing to the growing use of the internet around the world. The growing adoption of the dark web market is mainly attributed to the growing cyber threat around the internet. Moreover, the rising usage of dark web intelligence in counter-terrorism is expected to influence market growth during the forecast period. Furthermore, as organizations are shifting themselves to the cloud, it is putting them in a vulnerable position for potential cyber-attacks is expected to influence the market growth during the forecast period. Additionally, the growing investment in the cybersecurity industry is expected to propel the market during the forecast period. For instance, according to CrunchBase, despite the pandemic, organizations around the world invested more than USD 7 billion in the cybersecurity industry.

Based on components, the market is segmented into solutions and services. The service segment to garner a significant market share and is expected to maintain this throughout the forecast period. The growing adoption of dark web intelligence services is mainly attributed to the various benefits that dark web intelligence offers such as cyber fraud detection, and reduction in cyber threat-related risks, etc which is expected to elevate the demand for dark web intelligence. Additionally, the growing need for expertise in cyber threat management is expected to drive the market during the forecast period.

Based on deployment, the market is segmented into on-premises and cloud. The cloud segment is expected to grow with the highest CAGR and is expected to maintain the same throughout the forecast period. The growth of the segment is mainly attributed to various benefits that cloud implementation offers such as better cost-to-performance ratio, assasibility, security, etc. Moreover, the growing trend of working from home is also expected positive impact cloud growth during the forecast period.

On the basis of organization size, the market is segmented into SMEs (small and medium enterprises) and large enterprises. The SME segment is expected to achieve the largest market share. Factors such as the growing need for maximizing operational efficiency are expected to drive the market during the forecast period. Moreover, the rising threat of cyber security to SME's are expected influence market growth during the forecast period.

For a better understanding of the market adoption of the dark web intelligence industry, the market is analyzed based on its worldwide presence in the countries such as North America (U.S., Canada, Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. The North America region is expected to grow with a significant market share and is expected to maintain robust market share throughout the forecast period. The growth of the region is mainly attributed to the growing use of the internet in the region. Moreover, the growing cybersecurity threat in the region coupled with the growing cost of each cyber attack is expected to influence the market growth during the forecast period. For instance, according to IBM, in 2021, the USA has the highest cost of each data breach of USD 9.05 Million.

Some of the major players operating in the market include: Fortra, LLC; Rapid7; NICE; Outpost24; Open Text Corporation; DarkOwl, LLC; Digital Shadows Ltd; VeriSign, Inc; KELA; Flashpoint.

Product Code: UMAU211772

TABLE OF CONTENTS

1 MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Dark Web Intelligence Market
  • 2.2. Research Methodology of the Dark Web Intelligence Market
  • 2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 IMPACT OF COVID-19 ON THE DARK WEB INTELLIGENCE MARKET

6 DARK WEB INTELLIGENCE MARKET REVENUE, 2020-2028F

7 MARKET INSIGHTS BY COMPONENT

  • 7.1. Solutions
  • 7.2. Services

8 MARKET INSIGHTS BY DEPLOYMENT

  • 8.1. On-Premises
  • 8.2. Cloud

9 MARKET INSIGHTS BY ORGANIZATION SIZE

  • 9.1. Small and Medium Enterprises
  • 9.2. Large Enterprises

10 MARKET INSIGHTS BY REGION

  • 10.1. North America
    • 10.1.1. U.S.
    • 10.1.2. Canada
    • 10.1.3. Rest of North America
  • 10.2. Europe
    • 10.2.1. Germany
    • 10.2.2. U.K.
    • 10.2.3. France
    • 10.2.4. Italy
    • 10.2.5. Spain
    • 10.2.6. Rest of Europe
  • 10.3. Asia-Pacific
    • 10.3.1. China
    • 10.3.2. Japan
    • 10.3.3. India
    • 10.3.4. Rest of Asia-Pacific
  • 10.4. Rest of World

11 DARK WEB INTELLIGENCE MARKET DYNAMICS

  • 11.1. Market Drivers
  • 11.2. Market Challenges
  • 11.3. Impact Analysis

12 DARK WEB INTELLIGENCE MARKET OPPORTUNITIES

13 DARK WEB INTELLIGENCE MARKET TRENDS

14 DEMAND AND SUPPLY-SIDE ANALYSIS

  • 14.1. Demand Side Analysis
  • 14.2. Supply Side Analysis

15 VALUE CHAIN ANALYSIS

16 PRICING ANALYSIS

17 STRATEGIC INSIGHT

18 COMPETITIVE SCENARIO

  • 18.1. Competitive Landscape
    • 18.1.1. Porters Five Forces Analysis

19 COMPANY PROFILED

  • 19.1. Fortra, LLC
  • 19.2. Rapid7
  • 19.3. NICE
  • 19.4. Outpost24
  • 19.5. Open Text Corporation
  • 19.6. DarkOwl, LLC
  • 19.7. Digital Shadows Ltd
  • 19.8. VeriSign, Inc
  • 19.9. KELA
  • 19.10. Flashpoint

20 DISCLAIMER

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