Industry Research.co study on “Security Analytics Market” with various segments like market strategy, investment plan, industry share, growth factors, industry policy, revenue, opportunity, demand and 2024 forecast. Security Analytics Market report provides emerging market drivers, challenges, opportunities for Security Analytics Industry. It focuses on the latest trends and recent developments of Security Analytics Industry. Security Analytics market report will help you to know each and every facet of keyword industry. It also covers growth potential, market size, demand by buyer and suppliers and forecast details.
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Competitive Analysis: Security Analytics market report presents the market competitive landscape and a corresponding detailed analysis of the major key players in the industry. Top leading companies in Security Analytics market are:
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Scope of the Report:
Security Analytics Market Covers Following Points in TOC:
Chapter 1: Security Analytics Market Definition
Chapter 2: Research Methodology of Security Analytics Market
Chapter 3: Security Analytics Market Executive Summary
Chapter 4: Security Analytics Market Overview Includes Current Market Scenario, Porter’s Five Forces Analysis, Bargaining Power of Suppliers and Consumers, Threat of New Entrants and Substitute Product and Services
Chapter 5: Market Dynamics Covers Drivers, Restraints, Opportunities and Challenges
Chapter 6: Security Analytics Market Segmentation by Types, End-User, and Applications Forecast to 2024
Chapter 7: Security Analytics Market Segmentation by Geographical Regions
Chapter 8: Competitive Landscape of Security Analytics Market Includes Mergers & Acquisition Analysis, Agreements, Collaborations, and Partnerships, New Products Launches
Chapter 9: Key Players for Security Analytics Market
Security Analytics Market Report Covers the Following:
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Key Market Trends:
Network Security Analytics to Account for Significant Share
Network security applications are the largest source of demand for security analytics solutions globally. Security analysis, unlike other more well-behaved problem domains, does not naturally lend itself to statistical analysis. In most of the cases, programmers do not have the basic data that enable them to fabricate an accurate analytical engine.
Further, given the tendency of attackers to constantly adapt to changes, makes fabrication of network security analytics solutions an almost impossible task to the programmers. Also, In recent times, there have been many cases of network and web-app security failures that brought catastrophic damage to several large enterprises and governments globally.
Further, as the traditional network security analytics solutions based on the Bayesian probability theory, that states it’s possible to predict with high accuracy the likelihood of something happening by capturing every element of a problem and calculates possible outcomes mathematically, are being replaced with machine learning algorithms, due to this network security analytics solutions are getting more reliable.
Bayesian models have domain conceptual alignment and ability to reason on incomplete data, while machine learning has the sheer power and ability to cope with massive quantities of data required by modern networks, that are spreading beyond traditional applications.
North America to Account for Major Share
The Kaspersky Lab 2018 B2B Survey indicated that in North America, the average cost of a data breach for an enterprise reached USD 1.6 million (up 23% from USD 1.3 million in 2017) on average.
North America is the most expensive location for any small- and medium-scale business (SMB) to suffer a data breach compared to other regions. SMBs in the United States and Canada have the highest recovery cost, at USD 149 thousand on average (up 27% from USD 117 thousand in 2017).
End-user industries in the region have been pioneers and early adopters of analytics solution to remain ahead of competitions in other regions. This has helped enterprises and SMBs create huge databases and infrastructure to support the use of security analytics in a proactive measure.
Companies, such as Cylance Inc., the leading provider of AI-driven, prevention-first security solutions, and Securonix, a provider of SIEM and user and entity behavioral analytics, operating in North America in security analytics, announced a partnership to support the interoperability of CylancePROTECT with the new release of the Securonix Security Analytics Platform indicating the emerging trend towards cloud solution in security analytics.
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