The global anomaly detection market is predicted to reach USD 4.69 billion in 2024 and USD 15.38 billion by 2032, growing at a CAGR of 16% during the forecast period.
Anomaly detection can be called a process for identifying anomalies, such as an unusual change in the process or event in a procedure that does not follow the expected pattern or dataset. This change in the usual pattern of the activity is the leading cause of a failure, defect, or error in the process. Anomaly detection is extensively used for applications such as intruder detection, fraud detection, system, health monitoring, and many more in a similar ecosystem.
The more extensive the network, the more likely traffic congestion will lead to unusual patterns in the system. Anomaly detection detects these strange patterns in network traffic, which could be an essential reason for detecting intruders, cyber-attacks, and fraud.
The increasing number of connected devices in banking and finance, healthcare, manufacturing, information technology, telecommunications, defense, and the government should stimulate the market to detect anomalies during the forecast period. These industries regularly process essential data, which exposes them to fraud, theft, and hacking, allowing criminals to take control of the business infrastructure.
Banking operations include numerous periodic and aperiodic activities and transactions carried out by employees, customers, and external agencies. The nature of these activities is complicated and requires constant monitoring to ensure that neither the bank nor its end customers are adversely affected by malicious and random events. This represents a tremendous opportunity for companies offering solutions and services to prevent such anomalies. For example, CSI anomaly detection software for banks updates the institution on suspicious activity by generating automatic alerts, allowing them to maintain diligence and compliance. The various directives or regulations issued by regulatory agencies and agencies should stimulate the market during the projection period. For example, as a financier, the Federal Financial Institutions Review Council (FFIEC) requires establishing a process to help monitor possible abnormal behavior in online banking.
Competition from open-source alternatives that hamper the demand for business solutions and the lack of skills and experience are some of the factors restricting the global anomaly detection market.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
16% |
Segments Covered |
By Type of Service, Solution, Deployment, Application, Vertical, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
International Business Machines Corporation (United States), SAS Institute, Inc. (United States), Cisco Systems, Inc. (United States), Dell Technologies, Inc. (United States), Hewlett Packard Enterprise Company (United States), Symantec Corporation (United States), Trend Micro, Inc. (Japan), Splunk, Inc. (United States) and Others. |
Of these, the network behavior anomaly segment is likely to extend with the highest growth rate during the estimated period due to increasing technological developments and attacker threats.
The cloud segment is expected to account for the principal portion of the global anomaly detection market because of its numerous benefits, such as cost-efficiency, remote access, etc.
Intrusion and fraud detection are anticipated to register the highest demand in this business in the coming years.
Of these, the BFSI is the leading worldwide segment, which is projected to continue its reign in the forecast period.
North America's anomaly detection market dominated the global business due to growing trends such as BYOD, which encourages employees to bring their devices to the office. Large companies actively adopt this trend, improving performance and productivity. On the other hand, Europe's anomaly detection market closely follows North America in terms of value and volume. Europe and North America are technically advanced regions, and an essential factor that affects the progress of this market in Europe is the investments of the various critical actors in this region. This has led numerous small businesses to grow and partner with large suppliers to provide services. Asia-Pacific anomaly detection market is foreseen to be the fastest-growing region due to the increasing development of the information and technology sector in nations like India, China, Japan, etc.
The major companies operating in the global anomaly detection market include International Business Machines Corporation (United States), SAS Institute, Inc. (United States), Cisco Systems, Inc. (United States), Dell Technologies, Inc. (United States), Hewlett Packard Enterprise Company (United States), Symantec Corporation (United States), Trend Micro, Inc. (Japan), Splunk, Inc. (United States), Wipro Limited (India), Securonix, Inc. (United States), Gurucul (United States), Happiest Minds (India) and Guardian Analytics (United States).
In March 2019, Microsoft expanded its availability of anomaly detectors with the launch of the Microsoft Azure anomaly detector, which easily integrates anomaly detection capabilities into user applications so that they can quickly identify data models that are unusual, rare, or irregular.
In April 2019, Guardian Analytics Inc., a market leader in real-time behavior analysis and machine learning solutions for detecting bank payment and corporate B2B portal fraud, announced a webinar series on detecting electronic fraud in real time.
By Type of Service
Professional Service
Managed Service
By Solution
Network Behavior
User Behavior
By Deployment
Cloud
On-Premise
By Application
Intrusion Detection
Fraud Detection
System Status Monitoring
Fault Detection
Others
By Vertical
Banking
Financial Services and Insurance (BFSI)
Retail
Manufacturing
IT and Telecommunications
Government
Aerospace and Defense
Medical Care
Others
By Region
North America
The United States
Canada
Rest of North America
Europe
The United Kingdom
Spain
Germany
Italy
France
Rest of Europe
The Asia Pacific
India
Japan
China
Australia
Singapore
Malaysia
South Korea
New Zealand
Southeast Asia
Latin America
Brazil
Argentina
Mexico
Rest of LATAM
The Middle East and Africa
Saudi Arabia
UAE
Lebanon
Jordan
Cyprus
Frequently Asked Questions
The market is responding to advanced cyber threats by incorporating machine learning and artificial intelligence techniques into Anomaly Detection solutions, enabling real-time detection and response to evolving cybersecurity challenges.
Cloud-based Anomaly Detection solutions are gaining popularity due to their scalability, flexibility, and the ability to analyze large datasets. These solutions offer real-time anomaly detection and are accessible from anywhere, contributing to their global adoption.
Anomaly Detection solutions in the financial sector contribute significantly to fraud prevention by identifying unusual transaction patterns, unauthorized access, or irregular user behavior, thereby minimizing financial losses and enhancing security.
The market is adapting by incorporating big data analytics, distributed computing, and edge computing technologies to efficiently process and analyze vast amounts of data in real-time, ensuring timely detection of anomalies on a global scale.
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