Identity Analytics Market Country Level Analysis, Current Industry Size and Future Prospective with Key Company Profiles 2019-2025 - PowerPoint PPT Presentation

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Identity Analytics Market Country Level Analysis, Current Industry Size and Future Prospective with Key Company Profiles 2019-2025

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The key players in the identity analytics market are Symantec, Oracle, Quantum Secure, Confluxsys, Threatmetrix, Nexis Gmbh, Okta – PowerPoint PPT presentation

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Title: Identity Analytics Market Country Level Analysis, Current Industry Size and Future Prospective with Key Company Profiles 2019-2025


1
Identity Analytics market share research by
applications and regions for 2019-2025 Global
Market Insights, Inc.
Fuel Cell Market size worth 25.5bn by 2024
Low Power Wide Area Network
2
Overview of Identity Analytics Market
  • Asia Pacifics identity analytics market is
    enormously growing due to the continuously
    increasing adoption of technology in the emerging
    IT sector. The countries including India are
    becoming the first preference for IT solutions
    outsourcing in the world as the required
    workforce is cost-effective in this region.
    Keeping track of such a big workforce is made
    easy by identity analytics, creating a suitable
    situation for the growth of the market in Asia
    Pacific.
  • Identity Analytics Market size will expect
    lucrative gains during the forecast period
    impelled by rising demand from enterprises to
    automate identity-related risks and issues such
    as access, provision or restriction. These
    solutions are significantly used in fraud
    detection, account management, identity access
    management, and others. The increasing
    occurrences of data leak or identity frauds cause
    a heavy loss in revenue to many firms, forcing
    them to adopt identity analytics software and
    tools. Identity analytics combines the
    capabilities of advanced analytics and big data
    for the detection of identity-based risks in
    organizations. This will enhance the security of
    the companys confidential data and help to
    manage its access.

3
Continue
  • Conventionally, SOD (Segregation of Duties) used
    to be done manually, which used to cost more
    however, SMEs and large corporations are
    currently trying to make business processes more
    cost-effective. This problem is resolved due to
    the introduction of AI (Artificial Intelligence)
    and ML (Machine Learning) into identity analytics
    aiding businesses to do SOD and monitor them
    digitally. Identity analytics examines the
    existing roles and designations from the system
    and identifies inter and intra SOD risks. After
    this risk identification, the access is disabled
    and notified to the authorities.
  • In 2018, more than 1.4 million fraud cases were
    registered, which cost around USD 1.48 billion.
    This makes organizations keen to implement
    identity analytics software. Business can
    establish HPA (High Privileged Access) to certain
    users to keep sensitive data safe. The main
    problem large enterprises are facing is to manage
    a large amount of identity-related data, which
    needs to be kept safe and its maintenance to be
    cost-effective. Identity analytics software and
    tools are attracting SMEs as well as large
    corporations due to its cost-effective nature and
    the facility to access from anywhere.

4

Browse Full Research Report On Identity
Analytics Market _at_ https//bit.ly/31tZcsn
Request for an in-depth table of contents
for this report _at_ https//bit.ly/2RaII3A
.com/request-toc/upcoming/1797
5
Continue
  • Digitalization in various sectors has opened ways
    for cybercriminals to attempt more frauds. In the
    BFSI landscape, such incidences can cause heavy
    loss. To prevent such activities, banks are using
    intelligent systems and software to combat such
    crimes. This software uses machine learning, big
    data, and predictive analytics to catch
    identity-related frauds. Identity analytics is
    used for the examination of every transaction and
    identification of unusual transactions.
    Predictive analytics is used to analyze such
    unusual transactions. Machine learning and data
    mining techniques can also detect frauds.
  • In IT and Telecom, identity management solutions
    are required at a large scale due to huge volumes
    of data generated every day and managing such
    huge amounts of data is a hectic task. With a
    rise in the competition, operators are required
    to keep more data about customers such as device,
    usage, and location. Identity analytics helps to
    identify potential customers and offers them
    better services based on their needs, behavior,
    demographics, and devices. Customer retention is
    a big challenge in the telecom sector and
    identity analytics helps to identify the value
    loss of customers at an early stage, allowing
    operators to identify the factors that determine
    customers decisions and help to retain customers
    for a long period of time.

6
Continue
  • In North America, credit card frauds on new
    accounts went up to 24, misusing someones
    information to open a new credit card account was
    reported more often than any other
    identity-related crime in 2018. Due to the
    widespread adoption of technology, the reports on
    frauds are registered more by youngsters than old
    people. These reasons together anticipate that
    North America will hold the largest market share
    in the identity analytics market. This region has
    accepted identity analytics tools in many sectors
    and the presence of many large players in the
    market makes it more favorable for the growth of
    this sector.
  • The key players in the identity analytics market
    are Symantec, Oracle, Quantum Secure, Confluxsys,
    Threatmetrix, Nexis Gmbh, Okta, Hitachi Id
    Systems, Logrhythm, Idax Software, Centrify,
    Anomalix, Novetta, Gurucul, Verint Systems,
    Venafi, One Identity, Brainwave Grc, NetIQ,
    Sailpoint Technologies, Netowl, and Evidian. The
    companies are forming tie-ups with other
    companies to increase data processing
    capabilities. For instance, in May 2019, HDFC
    Ergo, a general insurance company, and IBM, a
    technology solution provider, jointly set up a
    data lab in India to run identity data-driven
    analytics on customer data and develop customized
    solutions and improve businesss profitability.

7
Methodology
  • Market
    research reports Key analytical components

8
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