Consumer IAM Market worth $18.1 billion by 2028, growing at a CAGR of 16.2%: Report by MarketsandMarkets™
MarketsandMarkets Research Pvt. Ltd.
MarketsandMarkets Research Pvt. Ltd.

Chicago, Jan. 10, 2024 (GLOBE NEWSWIRE) -- The Global Consumer IAM Market size is projected to grow from USD 8.6 billion in 2023 to USD 18.1 billion by 2028 at a Compound Annual Growth Rate (CAGR) of 16.2% during the forecast period, according to a new report by MarketsandMarkets™.

The growth of the CIAM market is being driven by several factors. These include growing awareness of regulatory compliance, access management tools, and growing identity theft and fraud.

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Consumer IAM Market Dynamics:

Drivers:

  • Rising security breaches and cyberattacks

  • Demand to deliver frictionless customer experience

  • Rising identity theft and fraud

  • Rising concern regarding access privileges

  • Growing emphasis on stringent regulatory compliance

Restraints:

  • Lack of identity standards and budgetary constraints

Opportunities:

  • High volume of online transactions

  • Cultural shift from traditional IAM to consumer IAM

  • Proliferation of cloud-based consumer IAM solutions and services

List of Key Players in Consumer IAM Market :

  • IBM

  • Microsoft

  • Salesforce

  • SAP

  • Broadcom

  • Okta

  • Akamai Technologies

  • Ping Identity

  • ForgeRock

  • LoginRadius

The promising growth of the CIAM market can be attributed to various factors, including the introduction of AI-powered CIAM solutions, the blockchain aspect, and the proliferation of cloud-based CIAM solutions and services.

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Trend: Artificial Intelligence

CIAM platforms use AI to give enhanced insights for a customized client experience. Adaptive authentication enabled by artificial intelligence evaluates a number of variables, including user behavior, device information, location, and context, to determine the proper degree of authentication needed for each user. This reduces the requirement for too stringent authentication procedures for low-risk operations, balancing security and user ease. To identify patterns associated with fraudulent activities, AI systems analyze enormous amounts of user data, including login attempts, transactions, and past behavior. Immediately identifying and stopping suspicious activity makes it possible to prevent fraud proactively, safeguarding user accounts and essential data. The AI considers all prior interactions and transactions to provide customized product suggestions.

Trend: Blockchain

CIAM systems built on blockchain can provide consumers visibility and granular control over their personal data. On the blockchain, users may control their consent choices, controlling which applications or organizations can access their data and the purpose behind accessing it. This improves data privacy and gives people more power over how their data is utilized. The distributed nature of blockchain offers resistance to data loss and system malfunctions. Users may rely on their identification traits saved on the blockchain for recovery in the case of a data breach or system failure, providing service continuity without relying on centralized databases.