This report segments the UAM market comprehensively and provides the closest approximations of the revenue numbers for the overall market and the subsegments across different regions.
The UAM market size is expected to grow from USD 1,071.3 million in 2018 to USD 3,335.7 million by 2023, at a Compound Annual Growth Rate (CAGR) of 25.5% during the forecast period.
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The key players in the User Activity Monitoring Market include – Micro Focus (UK), Splunk (US), Forcepoint (US), Imperva (US), Manage Engine (US), Cyber Ark (US), Rapid7 (US), Centrify (US), Solar Winds (US), Securonix(US), NetWrix (US), Digital Guardian (US), Birch Grove Software (US), Log Rhythm (US), Sumo Logic (US), Balabit (Hungary), ObserveIT (US), Dtex Systems (US), WALLIX (France), Teramind (US), Veriato (US), SysKit (Croatia), Ekran System (US), NetFort (Ireland), and TS Factory (US).
The research segments the UAM market by component, technology types, installation types, application area, deployment modes, organization sizes, and verticals in North America, Europe, APAC, MEA, and Latin America. Additionally, it includes the factors that are driving the UAM market along with the growth opportunities in this market.
It also includes the restraining factors and challenges for the UAM market. Moreover, the report includes detailed company profiles of the key players offering UAM solutions and services.
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The UAM market size is expected to grow from USD 1,071.3 million in 2018 to USD 3,335.7 million by 2023, at a Compound Annual Growth Rate (CAGR) of 25.5% during the forecast period. The market is driven by the increasing need to enhance productivity of their employees and to protect the confidential information.
Similarly, the stringent regulations across the globe are fueling the growth of UAM market. However, financial constraint due to higher innovation cost of UAM solution is restraining the growth of the market, as it directly affects the budget allocation of organizations.
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The behavior analytics technology in UAM is estimated to contribute a largest market share in 2018. This technology analyzes the historical data logs that include network and authentication logs collected and stored with the help of log management.
It then compares the patterns of user logs with the existing definitions and patterns to identify any dissimilarity in the pattern of traffic, both normal and malicious. The technology provides actionable insights to security teams in an organization, which help them take necessary actions.
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