Anomaly Detection Market Size, Share, Industry Analysis And Forecast To 2032 | |
The Anomaly Detection Global Market Report 2023 by The Business Research Company, provides anomaly detection market overview across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten-year historic period – 2010-2021, and a ten-year forecast period – 2023-2032. Learn More On The Anomaly Detection Market: https://www.thebusinessresearchcompany.com/report/anomaly-detection-global-market-report According to The Business Research Company’s Anomaly Detection Global Market Report 2023, the market size is expected to grow from$4.43 billion in 2022 to $5.11 billion in 2023 at a compound annual growth rate (CAGR) of 15.3%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the anomaly detection is expected to grow to $8.96 billion in 2027 at a CAGR of 15.1%. The increasing number of connected devices is expected to propel the growth of the anomaly detection market going forward. Connected devices are physical smart devices that can be connected via the internet with each other to share data and information within an organization. Anomaly detection is commonly used on connected devices for monitoring the devices connected to a network and to protect data traffic in an organization or household. Get A Free Sample Of The Report (Includes Graphs And Tables): https://www.thebusinessresearchcompany.com/sample_request?id=7140&type=smp The anomaly detection market is segmented: 1) By Component: Solutions, Services 2) By Technology: Big Data Analytics, Data Mining and Business Intelligence, Machine Learning and Artificial Intelligence 3) By Deployment Type: Cloud, On-Premises, Hybrid 4) By Application: Intrusion Detection, Fraud Detection, Defect Detection, System Health Monitoring 5) By Vertical: Banking, Financial Services, and Insurance (BFSI), Retail, Manufacturing, IT and Telecom, Government, Aerospace and Defence, Medical Care, Other Verticals Technology advancement is a trend gaining popularity in the anomaly detection market. The major companies operating in the anomaly detection market are focused on developing technologically advanced products to strengthen their market position. For instance, in February 2020, Cisco Systems, a US-based technology company, introduced its advanced new machine learning capabilities for IoT control management known as Cisco Cyber Vision. It is based on the Cisco IOx network operating system, which offers both information technology (IT) and operational technology solutions capable of collaborating to provide cyber threat protection within existing IT security tools and industrial operations. It would be used to optimize billing and improve data security by providing anomaly detection and smart billing options in connectivity management platforms for clients using new wireless technologies such as 5G, Wi-Fi 6, and new advanced IoT industrial devices, increasing customer satisfaction. The anomaly detection market report table of contents includes: 1. Executive Summary 2. Anomaly Detection Market Characteristics 3. Anomaly Detection Market Trends And Strategies 4. Anomaly Detection Market – Macro Economic Scenario 5. Anomaly Detection Market Size And Growth ..... 26. Africa Anomaly Detection Market 27. Anomaly Detection Market Competitive Landscape And Company Profiles 28. Key Mergers And Acquisitions In The Anomaly Detection Market 29. Anomaly Detection Market Future Outlook and Potential Analysis 30. Appendix | |
Target State: All States Target City : All Cities Last Update : Dec 04, 2023 2:09 AM Number of Views: 81 | Item Owner : TBRC Contact Email: (None) Contact Phone: (None) |
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