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Anomaly Detection Market Share, Size, Trends, Industry Analysis Report, By Deployment (Cloud, On-premise); By Component (Solution, Services); By Technology (Big Data Analytics, ML & AI); By End-use; And Segment Forecasts, 2023 - 2032
»óǰÄÚµå : 1388066
¸®¼­Ä¡»ç : Polaris Market Research
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ÆäÀÌÁö Á¤º¸ : ¿µ¹® 116 Pages
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The global anomaly detection market size is expected to reach USD 21.21 billion by 2032, according to a new study by Polaris market research. The report "Anomaly Detection Market Share, Size, Trends, Industry Analysis Report, By Deployment (Cloud, On-premise); By Component (Solution, Services); By Technology (Big Data Analytics, ML & AI); By End-use; And Segment Forecasts, 2023 - 2032" gives a detailed insight into current market dynamics and provides analysis on future market growth.

Market is witnessing growth due to advancements in deep learning and machine learning technologies, which have revolutionized anomaly detection. Generative Adversarial Networks (GAN), variational auto-encoders (Vaes), & Recurrent Neural Networks (RNNs) are being explored. These advanced techniques enable more accurate and efficient identification of the anomalies across different systems. Additionally, the increasing need for the large-scale data storage & the real-time analysis has driven adoption of such systems.

In the dynamic cybersecurity landscape of today, businesses are confronted with a range of cyber threats, including malware, ransomware, and security breaches. Maintaining complete privacy and security in advanced information systems such as the Internet of Things (IoT) & Cyber-Physical systems (CPs) is a challenging task. Therefore, it is crucial for industries to consistently detect and address cyber threats and anomalies to effectively monitor privacy concerns and enhance security awareness. Cyber-attacks targeting CPs have the potential to cause significant impacts on the economy, physical infrastructure, and environmental safety, posing serious risks to the population.

Ever-changing cybersecurity landscape has resulted in a significant surge in the adoption of behavior-based technology across several industries. Organizations recognize the importance of closely examining the behavior and activities of systems, users, and network entities to detect cyber threats in their early stages. Behavior-based detection is specifically designed to detect sophisticated cyber-attacks, including advanced persistent threats & insider threats, thereby enhancing the security of organizational systems. The increasing demand for analyzing the behavior of cyber-physical entities is expected to drive market growth across different regions.

Anomaly Detection Market Report Highlights

Solution segment accounted for the largest share, owing to growing cases of insider threats, from individuals involved in malicious activities

Cloud segment grown at the steady rate, primarily due to rise in adoption among multi-national companies, and advancements in cloud computing

ML & AI segment recorded steady growth rate, due to rise in complex data-sets, requiring new-age advanced algorithms

North America dominates the market, due to presence of innovative companies, and growing investments in the sector

The global key market players include: Amazon Web Services, Anodot, Broadcom, Cisco Systems, Dell Technologies, Dynatrace, GURUCUL, Happiest Minds

Polaris market research has segmented the anomaly detection market report based on component, deployment, technology, end use, and region:

Anomaly Detection, Component Outlook (Revenue - USD Billion, 2023 - 2032)

Anomaly Detection, Deployment Outlook (Revenue - USD Billion, 2023 - 2032)

Anomaly Detection, Technology Outlook (Revenue - USD Billion, 2023 - 2032)

Anomaly Detection, End Use Outlook (Revenue - USD Billion, 2023 - 2032)

Anomaly Detection, Regional Outlook (Revenue - USD Billion, 2023 - 2032)

Table of Contents

1. Introduction

2. Executive Summary

3. Research Methodology

4. Global Anomaly Detection Market Insights

5. Global Anomaly Detection Market, by Component

6. Global Anomaly Detection Market, by Deployment

7. Global Anomaly Detection Market, by End-use

8. Global Anomaly Detection Market, by Technology

9. Global Anomaly Detection Market, by Geography

10. Competitive Landscape

11. Company Profiles

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