Identity analytics provides a risk-based approach for managing system identities and access. It uses dynamic risk scores and advanced analytics to develop key indicators for automating account provisioning, de-provisioning, authentication, and privileged access management. Identity analytics utilize big data, machine learning (ML), and artificial intelligence (AI) technologies to ingest and analyze huge amount of data and refine that data into actionable intelligence, enabling organizations to detect and react to quickly access. Identity Analytics provides enterprises with the ability to define and manage roles and automate critical identity-based controls. When the roles are defined, certified, and assigned, the identity analytics solution delivers scalable and viable identity governance and analytical solution during the user access lifecycle
New York, NY -- (SBWIRE) -- 10/14/2020 -- Rise in adoption by enterprises to improve their identity and access management systems, growth in need of ensuring adaptive access certification by the enterprises, and increase in awareness about regulation and compliance management are some of the major factors that drive the global identity analytics market growth. In addition, surge in cases of data breaches and identity-related frauds are the factors expected to fuel the growth of the market. However, increase in complexity of the IT infrastructure and slow adoption of identity analytics solutions in the underdeveloped regions are the major factors that impede the market growth. Conversely, adoption of AI, machine learning technologies in identity analytics solutions, and rise in demand for mobility solutions and surge in identity theft are expected to provide lucrative opportunities for the growth of the global market.
The Market Growth Insight delivers well-researched industry-wide information on the Identity analytics market. It provides information on the market's essential aspects such as top participants, factors driving Identity analytics market growth, precise estimation of the Identity analytics market size, upcoming trends, changes in consumer behavioural pattern, market's competitive landscape, key market vendors, and other market features to gain an in-depth analysis of the market. Additionally, the report is a compilation of both qualitative and quantitative assessment by industry experts, as well as industry participants across the value chain. The report also focuses on the latest developments that can enhance the performance of various market segments.
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Competitive Spectrum of the Identity analytics Market Encompasses Companies such as: Evidian, Gurucul, Hitachi Id Systems, Happiest Minds, LogRhythm, ID analytics (Symantec), Verint Systems, NetIQ (Microfocus), Microsoft, and Oracle.
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Key Target Stakeholders Covered in Study:
==> Identity analytics Manufacturers
==> Global Identity analytics Distributors/Traders/Wholesalers
==> Identity analytics Component / Raw Material Producers
==> Downstream Vendors
Identity analytics Market Segmented by Region/Country: North America, Europe, Asia Pacific, Middle East & Africa, and Central & South America
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The analysis objectives of the report are:
- To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers and industry specific challenge and risks).
- To know the Identity analytics Market by pinpointing its many sub segments.
- To profile the important players and analyze their growth plans.
- To endeavour the amount and value of the Identity analytics Market sub-markets, depending on key regions (various vital states).
- To analyze the Global Identity analytics Market concerning growth trends, prospects and also their participation in the entire sector.
- To examine and study the Global Identity analytics Market size (volume and value) form the company, essential regions/countries, products and applications, background information and also predictions to 2025.
- Primary worldwide Global Identity analytics Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans for the next coming years.
- To examine competitive progress such as expansions, arrangements, new product launches and acquisitions on the market.
Key points from Table of Content:
Chapter 1 Introduction
Chapter 2 Key takeaways
Chapter 3. Identity analytics Market landscape
Chapter 4. Identity analytics Market Key industry dynamics
Chapter 5.Identity analytics Market – global market analysis
Chapter 6. Identity analytics Market revenue and forecasts to 2025 – installation type
Chapter 7. Identity analytics Market revenue and forecasts to 2025 – end-user
Chapter 8. Identity analytics Market revenue and forecasts to 2025 – geographical analysis
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