The anomaly detection solution market has seen considerable growth due to a variety of factors.
• In the last few years, the market size for anomaly detection solutions has expanded quickly. It is predicted to increase from $8.08 billion in 2024 to $9.48 billion in 2025, with a compound annual growth rate (CAGR) of 17.3%.
The historical growth can be linked to the emphasis on protecting customer data, the rising need for anomaly detection in the energy sector, the increasing complexity of IT infrastructure, and the growing demand for anomaly detection in the retail sector.
The anomaly detection solution market is expected to maintain its strong growth trajectory in upcoming years.
• The market for anomaly detection solutions is projected to expand significantly in the coming years. By 2029, the market is forecasted to reach a value of $18 billion, growing at a Compound Annual Growth Rate (CAGR) of 17.4%.
Various factors such as the widespread adoption of IoT devices, escalating cybersecurity risks, growing use of cloud computing, and the increase in fraud and insider threats are contributing to this growth in the projected period. Some notable trends anticipated in the same timeline are the broadening scope of digital banking, the surge in digital transformation, the incorporation of anomaly detection in SIEM, the improvement in deep learning algorithms, and the embracement of DeVos practices.
The growth of the anomaly detection solution market is anticipated to be fuelled by the rising uptake of IoT devices. IoT devices, with embedded sensors, software, and other technologies, can connect and share data with other systems and devices via the Internet. They utilize anomaly detection solutions to spot irregular events or patterns that stray from the expected behavior of the system, thereby aiding in the effective deployment and operation of IoT applications. For example, the Germany-based IoT Analytics GmbH reported that the number of connected IoT devices had risen to 16.6 billion by the end of 2023, a 15% increase from the previous year. Looking forward, the organization predicts an additional 13% growth, expecting a grand total of 18.8 billion devices by the end of 2024. In addition, the anticipated number of connected IoT devices is predicted to skyrocket to 40 billion by 2030, showing a noteworthy increase from the last update in 2023. Hence, the escalating adoption of IoT devices is propelling the growth of the anomaly detection solution market.
The anomaly detection solution market covered in this report is segmented –
1) By Type: Statistical Anomaly Detection, Machine Learning Anomaly Detection, Hybrid Anomaly Detection
2) By Technology: Big Data Analytics, Data Mining And Business Intelligence, Machine Learning And Artificial Intelligence
3) By Application: Network Security, Fraud Detection, Risk Management, Intrusion Detection, Equipment Health Monitoring, Other Applications
4) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI), Retail And E-Commerce, Healthcare, Information Technology And Telecom, Manufacturing, Energy And Utilities, Government And Defense, Other Industry Verticals
Subsegments:
1) By Statistical Anomaly Detection: Time Series Analysis, Control Chart Methods, Z-Score Analysis
2) By Machine Learning Anomaly Detection: Supervised Learning Models, Unsupervised Learning Models, Deep Learning Approaches
3) By Hybrid Anomaly Detection: Combining Statistical And Machine Learning Techniques, Ensemble Methods, Model Stacking Approaches
Significant organizations involved in the anomaly detection solution market are concentrating on creating unique AI advancements such as AI-driven cloud anomaly detection solutions in order to handle the intricacies of threat detection in cloud systems. These solutions employ artificial intelligence to identify and prioritize unusual activities within a company's cloud environment, using AI algorithms to constantly learn and adapt to the user's environment, highlighting suspicious activities and minimizing false positives. For example, Rapid7 Inc., a software company based in the US, launched AI-driven cloud anomaly detection in November 2023. This state-of-the-art technology employs AI-powered, agentless detection capabilities to identify and prioritize anomalous activity within a company's cloud setting. Moreover, this technology constantly evolves and adapts to the user's environment, notably highlighting suspicious activity, decreasing false positives, and enabling staff to concentrate on investigating and dealing with live threats efficiently.
Major companies operating in the anomaly detection solution market are:
• Google LLC
• Microsoft Corporation
• Dell Technologies Inc.
• Amazon Web Services
• Intel Corporation
• International Business Machines Corporation.
• Cisco Systems Inc.
• Oracle Corporation
• Broadcom Inc.
• Hewlett Packard Enterprise
• Vmware
• NetApp Inc.
• Palo Alto Networks Inc.
• Fortinet Inc.
• SAS Institute Inc.
• F5 Networks Inc.
• Splunk Inc.
• Check Point Software Technologies Ltd.
• Trend Micro Incorporated
• CrowdStrike Holdings Inc.
• Proofpoint Inc.
• FireEye Inc.
• SolarWinds Corporation
• Rapid7 Inc.
• Darktrace Limited
North America was the largest region in the anomaly detection solution market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the anomaly detection solution market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.