Identity Analytics Market Size & Share, by Enterprise Size (Large Enterprises and Small and Medium-sized Enterprises); Component; Deployment Mode; Application; and Industry Vertical - Global Supply & Demand Analysis, Growth Forecasts, Statistics Report 2025-2037

  • Report ID: 6669
  • Published Date: Nov 08, 2024
  • Report Format: PDF, PPT

Global Market Size, Forecast, and Trend Highlights Over 2025-2037

Identity Analytics Market registered a profitable valuation of USD 1.88 billion in 2024 and is projected to register USD 25.5 billion in 2037, expanding at a CAGR of 22.2% during the forecast period, i.e., 2025-2037. In 2025, the industry size of identity analytics is evaluated at USD 2.30 billion.

The primary growth driver in the identity analytics market is the increasing need for robust security measures to counter growing cyber threats. As organizations deal with rising instances of identity fraud, account takeovers, and insider threats, they need sophisticated tools that analyze user behavior, access patterns, and other data points to identify anomalies. North America accounted for 58% of ransomware attacks in the second quarter of 2024, followed by Europe (19%) and the Asia Pacific region (38%), which accounted for 16% of all attacks.  Identify analytics allows companies to detect potential security breaches early by monitoring and analyzing access patterns in real-time.

Additionally, the rapid growth in digital transformation is also driving the identity analytics market. Organizations are increasingly moving their operations, services, and customer interactions online, they are also expanding their IT infrastructures across cloud platforms, mobile applications, IoT devices, and remote working environments. This shift creates a rising need for robust identity analytics solutions to manage digital identities, secure access, and prevent unauthorized activities.


Identity Analytics Market
Get more information on this report: Request Free Sample PDF

Identity Analytics Market: Growth Drivers and Challenges

Growth Drivers

  • Rise in cyber threats and data breaches: Attackers are using advanced tactics such as credential stuffing, phishing, and social engineering to compromise accounts and gain unauthorized access. By 2024, 10,626 confirmed data breaches across the world were reported, which is almost twice as many as the 5,199 that were reported the year before. This high figure reflects the increasing capability of attackers as well as the growing digital footprints of enterprises. Identity analytics solutions use behavior analysis, anomaly detection, and machine learning to identify unusual activity and alert organizations to potential threats in real-time. As the frequency of data breaches rises, companies face mounting financial and reputational risks.
  • Identity analytics solutions help mitigate these risks by closely monitoring user access patterns and quickly flagging suspicious activities, reducing the chances of data exfiltration. With data breaches often causing irreversible damage, there is a shift toward proactive security strategies. Identity analytics allows organizations to monitor and analyze user behavior continuously, enabling them to detect and address suspicious behavior early rather than after an attack occurs.
  • Increasing complexity of IT environments: Companies are increasingly adopting multi-cloud and hybrid environments, combining on-premises, private cloud, and public cloud systems. Across a wide spectrum of enterprises, 89% of companies adopt a multi-cloud strategy. About 80% take a hybrid strategy, using both private and public cloud computing and 97% of IT leaders plan to grow their cloud solutions by integrating one or more clouds. Managing user identities across these platforms is complex, and traditional security approaches struggle to offer unified visibility and control. Identity analytics centralizes insights across platforms, allowing organizations to monitor, analyze, and secure identities consistently.
  • With the proliferation of SaaS applications, mobile access, and APIs, organizations face a wide range of access points. Each access point presents a potential vulnerability, making it essential to monitor how, when, and where users are accessing systems. Identity analytics uses behavioral monitoring and risk analysis to detect anomalies across diverse access points, reducing the risk of unauthorized access. Moreover, the rise of remote work and Bring Your Own Device (BYOD) policies has increased the need to secure access from various devices and networks. Identity analytics helps track user behaviors across different locations and devices, enabling IT teams to spot unusual patterns that might indicate a security threat.
  • The rise of artificial intelligence (AI) and machine learning (MI): AI and ML algorithms can learn typical user behavior patterns and quickly detect anomalies or unusual behaviors, such as access attempts from unfamiliar locations or unusual login times. This helps organizations identify potential threats, such as compromised credentials or insider misuse, early in the attack chain. AI and ML enable behavioral biometrics, where user behavior such as typing speed, mouse movements, and usage patterns is continuously analyzed to confirm identity. This enhances security by adding a layer of authentication that’s difficult for attackers to mimic.
  • The rise of AI and ML technologies is thus driving rapid advancements in identity analytics, making these solutions smarter, faster, and more accurate, and enabling organizations to secure identities more effectively across complex digital environments. As of 2024, 77% of organizations are either employing or exploring the usage of AI in their operations, and 83% believe AI is a major priority in their business strategy.

Challenges

  • Data privacy and compliance concerns: Identity analytics solutions often rely on collecting and analyzing large volumes of user data, raising privacy concerns and potentially conflicting with data protection regulations such as GDPR, CCPA, and HIPAA. These regulations limit data collection and processing, creating challenges for organizations that must balance security and compliance.
  • Shortage of skilled professionals: Implementing and managing identity analytics solutions requires skilled professionals with expertise in data science, machine learning, cybersecurity, and identity management. However, there is a shortage of skilled talent in these areas, which can make it difficult for organizations to deploy and effectively operate identity analytics solutions.

Identity Analytics Market: Key Insights

Base Year

2024

Forecast Year

2025-2037

CAGR

22.2%

Base Year Market Size (2024)

USD 1.88 billion

Forecast Year Market Size (2037)

USD 25.5 billion

Regional Scope

  • North America (U.S., and Canada) 
  • Asia Pacific (Japan, China, India, Indonesia, Malaysia, Australia, South Korea, Rest of Asia-Pacific) 
  • Europe (UK, Germany, France, Italy, Spain, Russia, NORDIC, Rest of Europe) 
  • Latin America (Mexico, Argentina, Brazil, Rest of Latin America) 
  • Middle East and Africa (Israel, GCC North Africa, South Africa, Rest of the Middle East and Africa) 
Get more information on this report: Request Free Sample PDF

Identity Analytics Segmentation

Enterprise Size [Large enterprises and Small and medium-sized enterprises (SME)]

Large enterprises segment is estimated to account for identity analytics market share of more than 61.2% by the end of 2037. The growth can be attributed to the large organizations continuous investments in comprehensive solutions that address their complex identity management and security needs. Large enterprises are increasingly investing in advanced technologies such as AI and ML to improve security.  According to Our World in Data, the annual global private investment in artificial intelligence in 2021 was USD 132.36 billion. Identity analytics solutions that incorporate these technologies allow large enterprises to leverage predictive analytics, behavior analysis, and real-time threat detection for a proactive security approach.

Large enterprises have diverse access requirements, often involving multiple departments, locations, and roles. Managing privileged access is particularly critical, as misuse by high-level users can cause significant damage. Identity analytics solutions help monitor privileged accounts closely, providing insights into unusual activities and securing high-risk areas. Also, with a high volume of identity-related data, large enterprises benefit from automated identity analytics capabilities that streamline monitoring, threat detection, and reporting. Automation reduces the workload for security teams, enabling them to manage identity security at scale without sacrificing accuracy or efficiency.

Component (Solution and Service)

By component, the service segment of the identity analytics market is poised to register a significant share by the end of 2037. The growth can be attributed to the growing demand for specialized, flexible, and scalable identity analytics services. Many organizations prefer outsourcing identity analytics management to reduce operational burdens, especially as skilled cybersecurity professionals are in short supply. Managed service providers (MSPs) offer continuous monitoring, identity threat detection, and incident response, providing a turnkey solution that is appealing for resource-constrained companies.

Identity analytics solutions often need to be customized and integrated with existing IT and security infrastructure, such as IAM systems, SIEM, and endpoint security tools. Service providers assist with the deployment, integration, and configuration of identity analytics platforms, ensuring they align with the organization’s unique requirements and systems.

Our in-depth analysis of the identity analytics market includes the following segments: 

Enterprise Size

  • Large enterprises
  • Small and medium-sized enterprises (SME)

Component

  • Solution
  • Service

Deployment Mode

  • On-premises
  • Cloud

Application

  • Customer management
  • Governance risk and compliance management
  • Account management
  • Fraud detection
  • Identity and access management
  • Others

Industry Vertical

  • BFSI
  • Retail & e-commerce
  • IT & telecommunication
  • Government & public sector
  • Healthcare
  • Manufacturing
  • Media & entertainment
  • Others

Want to customize this research report as per your requirements? Our research team will cover the information you require to help you take effective business decisions.

Customize this Report

Identity Analytics Industry - Regional Synopsis

North America Market Forecast

North America identity analytics market is estimated to dominate revenue share of around 38.2% by the end of 2037. The identity analytics market is experiencing substantial growth, driven by high cybersecurity standards, advanced technology adoption, regulatory pressures, and a rapidly expanding digital economy. The region faces a large number of cyber threats, with frequent data breaches, ransomware attacks, and identity theft incidents. The focus on cybersecurity has led to significant investments in identity analytics solutions that can help organizations detect and prevent identity-based threats, protect sensitive data, and safeguard against unauthorized access.

The U.S. identity analytics market includes the integration of blockchain for secure identity management and the rise of self-sovereign identification (SSI) systems, which provide decentralized control over digital identities. These trends are appealing to sectors such as healthcare and finance, where privacy and regulatory compliance are critical. Additionally, as businesses increasingly adopt cloud-based and hybrid IT environments, identity analytics solutions help organizations manage complex user access permissions and mitigate cybersecurity risks.

Moreover, major technology companies such as Microsoft, IBM, and Oracle dominate the identity analytics market, while innovations from companies like SailPoint are driving advancements in identity management. Overall, identity analytics market benefits from high levels of public-private collaboration, regulatory frameworks such as the CCPA, and heightened cybersecurity measures to counter the increasing number of cyber threats in the U.S. identity analytics market.

Businesses in Canada are increasingly adopting identity analytics to enhance security, meet stringent data privacy regulations, and protect against rising cyber threats. Industries such as finance, healthcare, and government are particularly active in implementing identity analytics solutions due to regulatory demands around data protection and the need to prevent fraud and unauthorized access.

APAC Market Analysis

The Asia Pacific identity analytics market is projected to register the fastest revenue growth during the forecast period. The identity analytics market is growing due to rising cyber threats, regulatory requirements, digital transformation, and increased reliance on AI-driven solutions. The region is witnessing increasing investments in AI and ML, which are integral to modern identity analytics. Moreover, APAC is a global leader in IoT and smart city projects, with countries like Singapore, Japan, and South Korea heavily investing in IoT infrastructure.

In China, there are strict data privacy and cybersecurity laws such as the Cybersecurity Law (CSL), Data Security Law (DSL), and Personal Information Protection Law (PIPL), these place stringent requirements on organizations managing and protecting personal data. Moreover, the country's digital economy is one of the largest globally, with industries like e-commerce, fintech, and online education seeing tremendous growth.

India ranks among the top nations facing cyber threats, which has highlighted the need for advanced identity management solutions. Identity analytics helps organizations detect anomalous behavior, prevent unauthorized access, and secure user credentials. Moreover, with the rapid growth of digital payments, online banking, and mobile wallets, the Indian financial sector has seen a surge in identity-related cyber threats. The Reserve Bank of India (RBI) and other regulatory bodies have issued guidelines for strong customer authentication, fueling demand for identity analytics in the financial sector.

Research Nester
Identity Analytics Market Share
Get more information on this report: Request Free Sample PDF

Companies Dominating the Identity Analytics Landscape

    The key players are shaping the identity analytics market by adopting AI-driven approaches, focusing on user experience, aligning with compliance needs, and developing cloud-based, integrated solutions. Their commitment to R&D, partnerships, and emerging technologies further strengthens their influence on the identity analytics market. By prioritizing security, compliance, and scalability, these companies are enabling organizations across industries to manage identity risks, improve user experience, and protect against cyber threats in an increasingly digital world.

    Here are some key players in the identity analytics market:

    • Oracle
      • Company Overview 
      • Business Strategy 
      • Key Product Offerings 
      • Financial Performance 
      • Key Performance Indicators 
      • Risk Analysis 
      • Recent Development 
      • Regional Presence 
      • SWOT Analysis 
    • Verint Systems Inc.
    • LogRhythm, Inc.
    • SailPoint Technologies, Inc.
    • Gurucul
    • Securonix
    • LexisNexis Risk Solutions

In the News

  • In September 2024, Verint and Five9 announced a deeper collaboration with a new cloud-to-cloud platform integration aimed at AI market leadership. With a full cloud-to-cloud connection, the combined Verint and Five9 platforms can now provide enterprises with a tremendous array of concrete business consequences.
  • In July 2024, Exabeam, which provides industry-leading AI and automation for accelerated threat detection, investigation, and response (TDIR), and LogRhythm, which is known for its high-integrity, trusted data ingestion, announced the successful completion of their merger.

Author Credits:  Abhishek Verma


  • Report ID: 6669
  • Published Date: Nov 08, 2024
  • Report Format: PDF, PPT

Frequently Asked Questions (FAQ)

The identity analytics sector registered a profitable valuation of USD 1.88 billion in 2024 and is projected to expand at a CAGR of 22.2% during the forecast period, i.e., 2025-2037.

The global identity analytics sector was valued at USD 1.88 billion in 2024 and is projected to register USD 25.5 billion in 2037, expanding at a profitable CAGR of 22.2% during the forecast period, i.e., 2025-2037.

The major players in the market are Oracle, Verint Systems Inc., LogRhythm, Inc., SailPoint Technologies, Inc., Gurucul, Securonix, LexisNexis Risk Solutions, and others.

By enterprise size, the large enterprises segment is positioned to register the largest market share in the global identity analytics sector with a 61.2% profit share by the end of 2037 owing to the large organizations continuous investments in comprehensive solutions that address their complex identity management and security needs.

North America is projected to register the largest revenue share of 38.2% in the global identity analytics sector owing to high cybersecurity standards, advanced technology adoption, regulatory pressures, and a rapidly expanding digital economy in the region.
Identity Analytics Market Report Scope
logo
  GET A FREE SAMPLE

FREE Sample Copy includes market overview, growth trends, statistical charts & tables, forecast estimates, and much more.

 Request Free Sample Copy

Have questions before ordering this report?

Inquiry Before Buying
Inquiry Before Buying Request Free Sample