Global Anomaly Detection Market – Industry Analysis and Forecast (2017-2026) _ by Component (Solution and Service), by Technology (Big Data Analytics, Data Mining and Business Intelligence and Machine Learning and Artificial Intelligence), by Deployment Model (On-Premises, Cloud and Hybrid), by Solution (Network Behavior Anomaly Detection and User Behavior Anomaly Detection), by Services (Professional Services and Managed Services), by Vertical and by Geography

Global Anomaly Detection Market – Industry Analysis and Forecast (2017-2026) _ by Component (Solution and Service), by Technology (Big Data Analytics, Data Mining and Business Intelligence and Machine Learning and Artificial Intelligence), by Deployment Model (On-Premises, Cloud and Hybrid), by Solution (Network Behavior Anomaly Detection and User Behavior Anomaly Detection), by Services (Professional Services and Managed Services), by Vertical and by Geography

Market Scenario

Global Anomaly Detection Market is expected to reach USD 8.45 Billion by 2026 from USD 2.10 Billion in 2017 at CAGR of 19.1% during forecast period. Global Anomaly Detection Market Global Anomaly Detection Market is segmented by component, deployment model, services, technology, and geography. Based on component market is divided into solution & service. Technology segment is classified as big data analytics, data mining and business intelligence and machine learning and artificial intelligence. Solution segment is split as network behaviour anomaly detection and user behaviour anomaly detection. Deployment mode segment is classified as on-premises, cloud and hybrid. Global Anomaly Detection Market on the basis of geography is segmented by North America, Europe, Asia-Pacific, Middle East & Africa and Latin America. Anomaly Detection assist organizations to detect abnormal behaviours in real-time data and helps monitor device performance, together with preventing data from unauthorized access. Anomaly Detection is basically a method to identify anomalies such as an unusual shift in the process or event in an operation that does not follow the expected pattern or dataset. Growing adoption of anomaly detection solutions in software testing is trending the overall Global Anomaly Detection Market. However, issues related to lack of skills and expertise will restrain the market growth. APAC is going to emerge as highest growth region in Anomaly Detection Market in forecast period followed by North America and Europe. Recent development in IT infrastructure and the adoption of new technologies, like augmented reality, big data and analytics, remote asset management, industrial Internet of Things (IoT), cloud, and cyber security in this region will fuel the Anomaly Detection Market in APAC region. Based on Solution segment, Network behaviour anomaly detection segment is expected to lead the market growth during forecast period. With increasing threat from spammers, attackers & criminal enterprises furthermore, increasing use of network behaviour anomaly detection in conventional firewalls and applications for the detection of malware are expected to fuel the segment growth. North America is expected to hold the largest market share in the anomaly detection market during the forecast period. The data-driven enterprises in this region are adopting IoT-based systems over their legacy systems, where anomaly detection solutions help identify abnormal signals, transmitted from connected devices. Furthermore, North America is technologically developed and witnessing a number of enterprises that are adopting cloud for data storage, and encouraging the Bring Your Own Device (BYOD) policy. These developments are boosting the adoption of anomaly detection solutions in the North American region. The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding Anomaly Detection market dynamics, structure by identifying and analyzing the market segments and project the global market size. Further, report also focuses on competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence. The report also provides PEST analysis, PORTER’s analysis, SWOT analysis to address questions of shareholders to prioritizing the efforts and investment in near future to emerging segment in Anomaly Detection market

The Scope of the Global Anomaly Detection market

Global Anomaly Detection Market by Component:

• Solution • Service

Global Anomaly Detection Market by Technology:

• Big data analytics • Data mining and business intelligence • Machine learning and artificial intelligence

Global Anomaly Detection Market by Deployment model:

• On-Premises • Cloud • Hybrid

Global Anomaly Detection Market by Solution:

• Network behaviour anomaly detection • User behaviour anomaly detection

Key Players operating in the Global Anomaly detection Market:

• Securonix, Inc. • GreyCortex s.r.o. • Trend Micro, Inc. • Splunk, Inc. • LogRhythm, Inc. • International Business Machines Corporation • Trustwave Holdings, Inc. • Symantec Corporation • SAS Institute Inc. • Wipro Limited • Flowmon Networks • Niara, Inc. • Gurucul • Happiest Minds • Anodot, Ltd. • Guardian Analytics • Hewlett Packard Enterprise Company • Dell Technologies, Inc. • Cisco Systems, Inc. Global Clinical Decision Support Systems Market

Table of Contents

Global Anomaly Detection Market

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 1.4. Key Questions Answered 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations Used 2.3. Research Methodology 3. Executive Summary 3.1. Global Anomaly Detection Market Size, by Market Value (US$ Mn) and Market, by Region 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.3. Drivers and Restraints Snapshot Analysis 4.3.1. Drivers 4.3.2. Restraints 4.3.3. Opportunities 4.3.4. Porter’s Analysis 4.3.5. Value Chain Analysis 4.3.6. SWOT Analysis 5. Global Anomaly Detection Market Analysis and Forecast 5.1. Global Anomaly Detection Market Analysis and Forecast 5.2. Global Anomaly Detection Market Size& Y-o-Y Growth Analysis 5.2.1. North America 5.2.2. Europe 5.2.3. Asia Pacific 5.2.4. Middle East & Africa 5.2.5. Latin America 6. Global Anomaly Detection Market Analysis and Forecast, by Component 6.1. Introduction and Definition 6.2. Key Findings 6.3. Global Anomaly Detection Market Value Share Analysis, by Component 6.4. Market Size (US$ Mn) Forecast, by Component 6.5. Anomaly Detection Market Analysis, by Component 6.6. Global Anomaly Detection Market Attractiveness Analysis, by Component 7. Global Anomaly Detection Market Analysis and Forecast, by Technology 7.1. Introduction and Definition 7.2. Global Anomaly Detection Market Value Share Analysis, by Technology 7.3. Market Size (US$ Mn) Forecast, by Technology 7.4. Global Anomaly Detection Market Analysis, by Technology 7.5. Global Anomaly Detection Market Attractiveness Analysis, by Technology 8. Global Anomaly Detection Market Analysis and Forecast, by Solution 8.1. Introduction and Definition 8.2. Global Anomaly Detection Market Value Share Analysis, by Solution 8.3. Market Size (US$ Mn) Forecast, by Solution 8.4. Global Anomaly Detection Market Analysis, by Solution 8.5. Global Anomaly Detection Market Attractiveness Analysis, by Solution 9. Global Anomaly Detection Market Analysis and Forecast, by Deployments 9.1. Introduction and Definition 9.2. Global Anomaly Detection Market Value Share Analysis, by Deployments 9.3. Market Size (US$ Mn) Forecast, by Deployments 9.4. Global Anomaly Detection Market Analysis, by Deployments 9.5. Global Anomaly Detection Market Attractiveness Analysis, by Deployments 10. Global Anomaly Detection Market Analysis, by Region 10.1. Global Anomaly Detection Market Value Share Analysis, by Region 10.2. Market Size (US$ Mn) Forecast, by Region 10.3. Global Anomaly Detection Market Attractiveness Analysis, by Region 11. North America Anomaly Detection Market Analysis 11.1. Key Findings 11.2. North America Anomaly Detection Market Overview 11.3. North America Anomaly Detection Market Value Share Analysis, by Component 11.4. North America Anomaly Detection Market Forecast, by Component 11.4.1. Solution 11.4.2. Service 11.5. North America Anomaly Detection Market Value Share Analysis, by Technology 11.6. North America Anomaly Detection Market Forecast, by Technology 11.6.1. Big data analytics 11.6.2. Data mining and business intelligence 11.6.3. Machine learning and artificial intelligence 11.7. North America Anomaly Detection Market Value Share Analysis, by Solution 11.8. North America Anomaly Detection Market Forecast, by Solution 11.8.1. Network behaviour anomaly detection 11.8.2. User behaviour anomaly detection 11.9. North America Anomaly Detection Market Value Share Analysis, by Deployments 11.10. North America Anomaly Detection Market Forecast, by Deployments 11.10.1. On-Premises 11.10.2. Cloud 11.10.3. Hybrid 11.11. North America Anomaly Detection Market Value Share Analysis, by Country 11.12. North America Anomaly Detection Market Forecast, by Country 11.12.1.1. U.S. 11.12.1.2. Canada 11.13. North America Anomaly Detection Market Analysis, by Country 11.14. U.S. Anomaly Detection Market Forecast, by Component 11.14.1. Solution 11.14.2. Service 11.15. U.S. Anomaly Detection Market Forecast, by Technology 11.15.1. Big data analytics 11.15.2. Data mining and business intelligence 11.15.3. Machine learning and artificial intelligence 11.16. U.S. Anomaly Detection Market Forecast, by Solution 11.16.1. Network behaviour anomaly detection 11.16.2. User behaviour anomaly detection 11.17. U.S. Anomaly Detection Market Forecast, by Deployments 11.17.1. On-Premises 11.17.2. Cloud 11.17.3. Hybrid 11.18. Canada Anomaly Detection Market Forecast, by Component 11.18.1. Solution 11.18.2. Service 11.19. Canada Anomaly Detection Market Forecast, by Technology 11.19.1. Big data analytics 11.19.2. Data mining and business intelligence 11.19.3. Machine learning and artificial intelligence 11.20. Canada Anomaly Detection Market Forecast, by Solution 11.20.1. Network behaviour anomaly detection 11.20.2. User behaviour anomaly detection 11.21. Canada Anomaly Detection Market Forecast, by Deployments 11.21.1. On-Premises 11.21.2. Cloud 11.21.3. Hybrid 11.22. North America Anomaly Detection Market Attractiveness Analysis 11.22.1. By Component 11.22.2. By Technology 11.22.3. By Solution 11.22.4. By Deployments 11.23. PEST Analysis 12. Europe Anomaly Detection Market Analysis 12.1. Key Findings 12.2. Europe Anomaly Detection Market Overview 12.3. Europe Anomaly Detection Market Value Share Analysis, by Component 12.4. Europe Anomaly Detection Market Forecast, by Component 12.4.1. Solution 12.4.2. Service 12.5. Europe Anomaly Detection Market Value Share Analysis, by Technology 12.6. Europe Anomaly Detection Market Forecast, by Technology 12.6.1. Big data analytics 12.6.2. Data mining and business intelligence 12.6.3. Machine learning and artificial intelligence 12.7. Europe Anomaly Detection Market Value Share Analysis, by Solution 12.8. Europe Anomaly Detection Market Forecast, by Solution 12.8.1. Network behaviour anomaly detection 12.8.2. User behaviour anomaly detection 12.9. Europe Anomaly Detection Market Value Share Analysis, by Deployments 12.10. Europe Anomaly Detection Market Forecast, by Deployments 12.10.1. On-Premises 12.10.2. Cloud 12.10.3. Hybrid 12.11. Europe Anomaly Detection Market Value Share Analysis, by Country 12.12. Europe Anomaly Detection Market Forecast, by Country 12.12.1.1. Germany 12.12.1.2. U.K. 12.12.1.3. France 12.12.1.4. Italy 12.12.1.5. Spain 12.12.1.6. Rest of Europe 12.13. Europe Anomaly Detection Market Analysis, by Country/ Sub-region 12.14. Germany Anomaly Detection Market Forecast, by Component 12.14.1. Solution 12.14.2. Service 12.15. Germany Anomaly Detection Market Forecast, by Technology 12.15.1. Big data analytics 12.15.2. Data mining and business intelligence 12.15.3. Machine learning and artificial intelligence 12.16. Germany Anomaly Detection Market Forecast, by Solution 12.16.1. Network behaviour anomaly detection 12.16.2. User behaviour anomaly detection 12.17. Germany Anomaly Detection Market Forecast, by Deployments 12.17.1. On-Premises 12.17.2. Cloud 12.17.3. Hybrid 12.18. U.K. Anomaly Detection Market Forecast, by Component 12.18.1. Solution 12.18.2. Service 12.19. U.K. Anomaly Detection Market Forecast, by Technology 12.19.1. Big data analytics 12.19.2. Data mining and business intelligence 12.19.3. Machine learning and artificial intelligence 12.20. U.K. Anomaly Detection Market Forecast, by Solution 12.20.1. Network behaviour anomaly detection 12.20.2. User behaviour anomaly detection 12.21. U.K. Anomaly Detection Market Forecast, by Deployments 12.21.1. On-Premises 12.21.2. Cloud 12.21.3. Hybrid 12.22. France Anomaly Detection Market Forecast, by Component 12.22.1. Solution 12.22.2. Service 12.23. France Anomaly Detection Market Forecast, by Technology 12.23.1. Big data analytics 12.23.2. Data mining and business intelligence 12.23.3. Machine learning and artificial intelligence 12.24. France Anomaly Detection Market Forecast, by Solution 12.24.1. Network behaviour anomaly detection 12.24.2. User behaviour anomaly detection 12.25. France Anomaly Detection Market Forecast, by Deployments 12.25.1. On-Premises 12.25.2. Cloud 12.25.3. Hybrid 12.26. Italy Anomaly Detection Market Forecast, by Component 12.26.1. Solution 12.26.2. Service 12.27. Italy Anomaly Detection Market Forecast, by Technology 12.27.1. Big data analytics 12.27.2. Data mining and business intelligence 12.27.3. Machine learning and artificial intelligence 12.28. Italy Anomaly Detection Market Forecast, by Solution 12.28.1. Network behaviour anomaly detection 12.28.2. User behaviour anomaly detection 12.29. Italy Anomaly Detection Market Forecast, by Deployments 12.29.1. On-Premises 12.29.2. Cloud 12.29.3. Hybrid 12.30. Spain Anomaly Detection Market Forecast, by Component 12.30.1. Solution 12.30.2. Service 12.31. Spain Anomaly Detection Market Forecast, by Technology 12.31.1. Big data analytics 12.31.2. Data mining and business intelligence 12.31.3. Machine learning and artificial intelligence 12.32. Spain Anomaly Detection Market Forecast, by Solution 12.32.1. Network behaviour anomaly detection 12.32.2. User behaviour anomaly detection 12.33. Spain Anomaly Detection Market Forecast, by Deployments 12.33.1. On-Premises 12.33.2. Cloud 12.33.3. Hybrid 12.34. Rest of Europe Anomaly Detection Market Forecast, by Component 12.34.1. Solution 12.34.2. Service 12.35. Rest of Europe Anomaly Detection Market Forecast, by Technology 12.35.1. Big data analytics 12.35.2. Data mining and business intelligence 12.35.3. Machine learning and artificial intelligence 12.36. Rest of Europe Anomaly Detection Market Forecast, by Solution 12.36.1. Network behaviour anomaly detection 12.36.2. User behaviour anomaly detection 12.37. Rest Of Europe Anomaly Detection Market Forecast, by Deployments 12.37.1. On-Premises 12.37.2. Cloud 12.37.3. Hybrid 12.38. Europe Anomaly Detection Market Attractiveness Analysis 12.38.1. By Component 12.38.2. By Technology 12.38.3. By Solution 12.38.4. By Deployments 12.39. PEST Analysis 13. Asia Pacific Anomaly Detection Market Analysis 13.1. Key Findings 13.2. Asia Pacific Anomaly Detection Market Overview 13.3. Asia Pacific Anomaly Detection Market Value Share Analysis, by Component 13.4. Asia Pacific Anomaly Detection Market Forecast, by Component 13.4.1. Solution 13.4.2. Service 13.5. Asia Pacific Anomaly Detection Market Value Share Analysis, by Technology 13.6. Asia Pacific Anomaly Detection Market Forecast, by Technology 13.6.1. Big data analytics 13.6.2. Data mining and business intelligence 13.6.3. Machine learning and artificial intelligence 13.7. Asia Pacific Anomaly Detection Market Value Share Analysis, by Solution 13.8. Asia Pacific Anomaly Detection Market Forecast, by Solution 13.8.1. Network behaviour anomaly detection 13.8.2. User behaviour anomaly detection 13.9. Asia Pacific Anomaly Detection Market Value Share Analysis, by Deployments 13.10. Asia Pacific Anomaly Detection Market Forecast, by Deployments 13.10.1. On-Premises 13.10.2. Cloud 13.10.3. Hybrid 13.11. Asia Pacific Anomaly Detection Market Value Share Analysis, by Country 13.12. Asia Pacific Anomaly Detection Market Forecast, by Country 13.12.1. China, 13.12.2. India, 13.12.3. Japan, 13.12.4. ASEAN, 13.12.5. Rest of Asia Pacific, 13.13. Asia Pacific Anomaly Detection Market Analysis, by Country/ Sub-region 13.14. China Anomaly Detection Market Forecast, by Component 13.14.1. Solution 13.14.2. Service 13.15. China Anomaly Detection Market Forecast, by Technology 13.15.1. Big data analytics 13.15.2. Data mining and business intelligence 13.15.3. Machine learning and artificial intelligence 13.16. China Anomaly Detection Market Forecast, by Solution 13.16.1. Network behaviour anomaly detection 13.16.2. User behaviour anomaly detection 13.17. China Anomaly Detection Market Forecast, by Deployments 13.17.1. On-Premises 13.17.2. Cloud 13.17.3. Hybrid 13.18. India Anomaly Detection Market Forecast, by Component 13.18.1. Solution 13.18.2. Service 13.19. India Anomaly Detection Market Forecast, by Technology 13.19.1. Big data analytics 13.19.2. Data mining and business intelligence 13.19.3. Machine learning and artificial intelligence 13.20. India Anomaly Detection Market Forecast, by Solution 13.20.1. Network behaviour anomaly detection 13.20.2. User behaviour anomaly detection 13.21. India Anomaly Detection Market Forecast, by Deployments 13.21.1. On-Premises 13.21.2. Cloud 13.21.3. Hybrid 13.22. Japan Anomaly Detection Market Forecast, by Component 13.22.1. Solution 13.22.2. Service 13.23. Japan Anomaly Detection Market Forecast, by Technology 13.23.1. Big data analytics 13.23.2. Data mining and business intelligence 13.23.3. Machine learning and artificial intelligence 13.24. Japan Anomaly Detection Market Forecast, by Solution 13.24.1. Network behaviour anomaly detection 13.24.2. User behaviour anomaly detection 13.25. Japan Anomaly Detection Market Forecast, by Deployments 13.25.1. On-Premises 13.25.2. Cloud 13.25.3. Hybrid 13.26. ASEAN Anomaly Detection Market Forecast, by Component 13.26.1. Solution 13.26.2. Service 13.27. ASEAN Anomaly Detection Market Forecast, by Technology 13.27.1. Big data analytics 13.27.2. Data mining and business intelligence 13.27.3. Machine learning and artificial intelligence 13.28. ASEAN Anomaly Detection Market Forecast, by Solution 13.28.1. Network behaviour anomaly detection 13.28.2. User behaviour anomaly detection 13.29. ASEAN Anomaly Detection Market Forecast, by Deployments 13.29.1. On-Premises 13.29.2. Cloud 13.29.3. Hybrid 13.30. Rest of Asia Pacific Anomaly Detection Market Forecast, by Component 13.30.1. Solution 13.30.2. Service 13.31. Rest of Asia Pacific Anomaly Detection Market Forecast, by Technology 13.31.1. Big data analytics 13.31.2. Data mining and business intelligence 13.31.3. Machine learning and artificial intelligence 13.32. Rest of Asia Pacific Anomaly Detection Market Forecast, by Solution 13.32.1. Network behaviour anomaly detection 13.32.2. User behaviour anomaly detection 13.33. Rest of Asia Pacific Anomaly Detection Market Forecast, by Deployments 13.33.1. On-Premises 13.33.2. Cloud 13.33.3. Hybrid 13.34. Asia Pacific Anomaly Detection Market Attractiveness Analysis 13.34.1. By Component 13.34.2. By Technology 13.34.3. By Solution 13.34.4. By Deployments 13.35. PEST Analysis 14. Middle East & Africa Anomaly Detection Market Analysis 14.1. Key Findings 14.2. Middle East & Africa Anomaly Detection Market Overview 14.3. Middle East & Africa Anomaly Detection Market Value Share Analysis, by Component 14.4. Middle East & Africa Anomaly Detection Market Forecast, by Component 14.4.1. Solution 14.4.2. Service 14.5. Middle East & Africa Anomaly Detection Market Value Share Analysis, by Technology 14.6. Middle East & Africa Anomaly Detection Market Forecast, by Technology 14.6.1. Big data analytics 14.6.2. Data mining and business intelligence 14.6.3. Machine learning and artificial intelligence 14.7. Middle East & Africa Anomaly Detection Market Value Share Analysis, by Solution 14.8. Middle East & Africa Anomaly Detection Market Forecast, by Solution 14.8.1. Network behaviour anomaly detection 14.8.2. User behaviour anomaly detection 14.9. Middle East & Africa Anomaly Detection Market Value Share Analysis, by Deployments 14.10. Middle East & Africa Anomaly Detection Market Forecast, by Deployments 14.10.1. On-Premises 14.10.2. Cloud 14.10.3. Hybrid 14.11. Middle East & Africa Anomaly Detection Market Value Share Analysis, by Country 14.12. Middle East & Africa Anomaly Detection Market Forecast, by Country 14.12.1. GCC, 14.12.2. South Africa, 14.12.3. Rest of Middle East & Africa, 14.13. Middle East & Africa Anomaly Detection Market Analysis, by Country/ Sub-region 14.14. GCC Anomaly Detection Market Forecast, by Component 14.14.1. Solution 14.14.2. Service 14.15. GCC Anomaly Detection Market Forecast, by Technology 14.15.1. Big data analytics 14.15.2. Data mining and business intelligence 14.15.3. Machine learning and artificial intelligence 14.16. GCC Anomaly Detection Market Forecast, by Solution 14.16.1. Network behaviour anomaly detection 14.16.2. User behaviour anomaly detection 14.17. GCC Anomaly Detection Market Forecast, by Deployments 14.17.1. On-Premises 14.17.2. Cloud 14.17.3. Hybrid 14.18. South Africa Anomaly Detection Market Forecast, by Component 14.18.1. Solution 14.18.2. Service 14.19. South Africa Anomaly Detection Market Forecast, by Technology 14.19.1. Big data analytics 14.19.2. Data mining and business intelligence 14.19.3. Machine learning and artificial intelligence 14.20. South Africa Anomaly Detection Market Forecast, by Solution 14.20.1. Network behaviour anomaly detection 14.20.2. User behaviour anomaly detection 14.21. South Africa Anomaly Detection Market Forecast, by Deployments 14.21.1. On-Premises 14.21.2. Cloud 14.21.3. Hybrid 14.22. Rest of Middle East & Africa Anomaly Detection Market Forecast, by Component 14.22.1. Solution 14.22.2. Service 14.23. Rest of Middle East & Africa Anomaly Detection Market Forecast, by Technology 14.23.1. Big data analytics 14.23.2. Data mining and business intelligence 14.23.3. Machine learning and artificial intelligence 14.24. Rest of Middle East & Africa Anomaly Detection Market Forecast, by Solution 14.24.1. Network behaviour anomaly detection 14.24.2. User behaviour anomaly detection 14.25. Rest of Middle East & Africa Anomaly Detection Market Forecast, by Deployments 14.25.1. On-Premises 14.25.2. Cloud 14.25.3. Hybrid 14.26. Middle East & Africa Anomaly Detection Market Attractiveness Analysis 14.26.1. By Component 14.26.2. By Technology 14.26.3. By Solution 14.26.4. By Deployments 14.27. PEST Analysis 15. Latin America Anomaly Detection Market Analysis 15.1. Key Findings 15.2. Latin America Anomaly Detection Market Overview 15.3. Latin America Anomaly Detection Market Value Share Analysis, by Component 15.4. Latin America Anomaly Detection Market Forecast, by Component 15.4.1. Solution 15.4.2. Service 15.5. Latin America Anomaly Detection Market Value Share Analysis, by Technology 15.6. Latin America Anomaly Detection Market Forecast, by Technology 15.6.1. Big data analytics 15.6.2. Data mining and business intelligence 15.6.3. Machine learning and artificial intelligence 15.7. Latin America Anomaly Detection Market Value Share Analysis, by Solution 15.8. Latin America Anomaly Detection Market Forecast, by Solution 15.8.1. Network behaviour anomaly detection 15.8.2. User behaviour anomaly detection 15.9. Latin America Anomaly Detection Market Value Share Analysis, by Deployments 15.10. Latin America Anomaly Detection Market Forecast, by Deployments 15.10.1. On-Premises 15.10.2. Cloud 15.10.3. Hybrid 15.11. Latin America Anomaly Detection Market Value Share Analysis, by Country 15.12. Latin America Anomaly Detection Market Forecast, by Country 15.12.1.1. Brazil, 15.12.1.2. Mexico, 15.12.1.3. Rest of Latin America, 15.13. Latin America Anomaly Detection Market Analysis, by Country/ Sub-region 15.14. Brazil Anomaly Detection Market Forecast, by Component 15.14.1. Solution 15.14.2. Service 15.15. Brazil Anomaly Detection Market Forecast, by Technology 15.15.1. Big data analytics 15.15.2. Data mining and business intelligence 15.15.3. Machine learning and artificial intelligence 15.16. Brazil Anomaly Detection Market Forecast, by Solution 15.16.1. Network behaviour anomaly detection 15.16.2. User behaviour anomaly detection 15.17. Brazil Anomaly Detection Market Forecast, by Deployments 15.17.1. On-Premises 15.17.2. Cloud 15.17.3. Hybrid 15.18. Mexico Anomaly Detection Market Forecast, by Component 15.18.1. Solution 15.18.2. Service 15.19. Mexico Anomaly Detection Market Forecast, by Technology 15.19.1. Big data analytics 15.19.2. Data mining and business intelligence 15.19.3. Machine learning and artificial intelligence 15.20. Mexico Anomaly Detection Market Forecast, by Solution 15.20.1. Network behaviour anomaly detection 15.20.2. User behaviour anomaly detection 15.21. Mexico Anomaly Detection Market Forecast, by Deployments 15.21.1. On-Premises 15.21.2. Cloud 15.21.3. Hybrid 15.22. Rest of Latin America Anomaly Detection Market Forecast, by Component 15.22.1. Solution 15.22.2. Service 15.23. Rest of Latin America Anomaly Detection Market Forecast, by Technology 15.23.1. Big data analytics 15.23.2. Data mining and business intelligence 15.23.3. Machine learning and artificial intelligence 15.24. Rest of Latin America Anomaly Detection Market Forecast, by Solution 15.24.1. Network behaviour anomaly detection 15.24.2. User behaviour anomaly detection 15.25. Rest of Latin America Anomaly Detection Market Forecast, by Deployments 15.25.1. On-Premises 15.25.2. Cloud 15.25.3. Hybrid 15.26. Latin America Anomaly Detection Market Attractiveness Analysis 15.26.1. By Component 15.26.2. By Technology 15.26.3. By Solution 15.26.4. By Deployments 15.27. PEST Analysis 16. Company Profiles 16.1. Market Share Analysis, by Company 16.2. Competition Matrix 16.3. Company Profiles: Key Players 16.3.1. Securonix, Inc. 16.3.1.1. Company Overview 16.3.1.2. Financial Overview 16.3.1.3. Business Strategy 16.3.1.4. Recent Developments 16.3.1.5. Stock Management Footprint 16.3.2. Securonix, Inc. 16.3.3. GreyCortex s.r.o. 16.3.4. Trend Micro, Inc. 16.3.5. Splunk, Inc. 16.3.6. LogRhythm, Inc. 16.3.7. International Business Machines Corporation 16.3.8. Trustwave Holdings, Inc. 16.3.9. Symantec Corporation 16.3.10. SAS Institute Inc. 16.3.11. Wipro Limited 16.3.12. Flowmon Networks 16.3.13. Niara, Inc. 16.3.14. Gurucul 16.3.15. Happiest Minds 16.3.16. Anodot, Ltd. 16.3.17. Guardian Analytics 16.3.18. Hewlett Packard Enterprise Company 16.3.19. Dell Technologies, Inc. 16.3.20. Cisco Systems, Inc. 17. Primary Key Insights

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