Global Identity and Access Management Market (2021 to 2026) - Featuring Centrify, Microsoft and Micro Focus Among Others -

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DUBLIN, October 27, 2021--(BUSINESS WIRE)--The "Identity and Access Management (IAM) Market - Forecasts from 2021 to 2026" report has been added to's offering.

The identity and access management market was estimated at US$12.146 billion in the year 2019 and is projected to grow at a CAGR of 14.79% to reach a market size of US$31.898 billion by the year 2026.

Companies Mentioned

  • Centrify Corporation

  • Microsoft Corporation

  • Dell

  • Micro Focus

  • Oracle

  • Hitachi ID Systems, Inc

  • IBM Corporation

  • SailPoint Technologies, Inc.

  • Okta, Inc.

  • Forge Rock

IAM (identity and access management) is a set of corporate procedures, rules, and technology that makes managing electronic or digital identities easier. Information technology (IT) administrators may limit user access to important information within their businesses using an IAM architecture. Single sign-on systems, two-factor authentication, multifactor authentication, and privileged access management are examples of IAM systems. These technologies also allow for the safe storage of identification and profile data, as well as data governance features that guarantee that only essential and relevant data is exchanged.

Increased digitization and the introduction of sophisticated technologies are driving the global Identity & Access Management (IAM) market. Furthermore, factors such as the growing need for security governance, enforcement issues, dispersed systems and workforce, and poorer quality security services inside businesses, among others, are projected to drive the market even further throughout the forecast period.

Using blockchain technology to address issues in identity management to offer market opportunities

Blockchain technology is slowly making its way into the IAM space, intending to create a platform that protects people's identities from being stolen or becoming victims of different fraudulent acts. To cope with the difficulties of authentication and authorization, businesses have implemented blockchain technology into IAM. Blockchain technology allows users to store and verify the evidence of identity identifiers in a decentralized and relatively safe manner. In IAM systems, blockchain technology assists users in creating, proving, and registering their own identity and associated identifiers to access digital services. By removing the requirement for segregated or replicated identities, repositories, and data, blockchain-enabled IAM solutions in companies can help enterprises reduce operational risks and expenses. However, for blockchain technology to be widely adopted in IAM, it must be open-source, have simple financial models, adhere to privacy by design, and provide a satisfactory user experience.

Increasing regulatory compliance awareness to propel adoption

Companies use identity and access management systems to control and reduce cybercrime by ensuring that the appropriate individuals have access to the right information. Several compliance requirements may be met using identity and access management solutions. If a company is audited and has a solid IAM program, it can readily demonstrate that it has taken steps to reduce the risk of data theft or abuse. It also aids in meeting the requirements of different regulations, such as Sarbanes-Oxley (SOX) and the Gramm-Leach-Bliley Act (GBLA).

Machine learning and Artificial Intelligence to improve risk detection increasing market demand

To fulfill privacy compliance standards, identity and access management is constantly changing across multiple essential services such as authentication and data security. The use of artificial intelligence (AI) and machine learning in IAM is likely to become more common. As an expanding number of devices and systems interact with and learn from one another without human involvement, artificial intelligence in identity management is predicted to change security beyond people, places, and things. It gives both technical and non-technical personnel contextual information, allowing them to perform more efficiently. To strengthen security methods, IAM suppliers have begun to include behavioral data analysis using machine learning. As a result, AI and machine learning are having a significant influence on the security sector. These technologies have been highlighted by providers of identity access management solutions as major potential in the next years.

Security concerns regarding the stored data to restrain the market growth

All authorizations and credentials must be stored in one centralized location when using identity and access management solutions or platforms. If data is not kept securely, there poses a significant danger of an attacker gaining access to the system. As a result, all digital identities have been hacked. Converting resources from an existing legacy system to IAM is also difficult, costly, and time-consuming. Furthermore, while the cloud-based system has many advantages, it has certain security concerns about the data it stores. Credential protection, data breaches, compromised interfaces and APIs, account hijacking, and hostile insiders are among the security problems mentioned.

Key Topics Covered:

1. Introduction

2. Research Methodology

3. Executive Summary

4. Market Dynamics

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter's Five Forces Analysis

4.4. Function Value Chain Analysis

5. Identity And Access Management (IAM) Market Analysis, By Deployment Model

6. Identity And Access Management (IAM) Market Analysis, By Service

7. Identity And Access Management (IAM) Market Analysis, By Vertical

8. Identity And Access Management (IAM) Market Analysis, By Geography

9. Competitive Environment and Analysis

9.1. Major Players and Strategy Analysis

9.2. Emerging Players and Market Lucrativeness

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Vendor Competitiveness Matrix

10. Company Profiles

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