Worldwide Anomaly Detection Industry to 2026 - MLAD Holds Potential to Identify Anomalies - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Anomaly Detection - Global Market Trajectory & Analytics" report has been added to ResearchAndMarkets.com's offering.

The global market for Anomaly Detection estimated at US$4.8 Billion in the year 2022, is projected to reach a revised size of US$8.6 Billion by 2026, growing at a CAGR of 15.8% over the analysis period.

Solutions, one of the segments analyzed in the report, is projected to grow at a 16.4% CAGR to reach US$7.2 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Services segment is readjusted to a revised 14.2% CAGR for the next 7-year period. This segment currently accounts for a 27.9% share of the global Anomaly Detection market.

The U.S. Market is Estimated at $2.1 Billion in 2022, While China is Forecast to Reach $997.4 Million by 2026

The Anomaly Detection market in the U.S. is estimated at US$2.1 Billion in the year 2022. The country currently accounts for a 43.18% share in the global market. China, the world's second largest economy, is forecast to reach an estimated market size of US$997.4 Billion in the year 2026 trailing a CAGR of 16.7% through the analysis period.

Select Competitors (Total 94 Featured) -

• Broadcom, Inc.
• Cisco Systems, Inc.
• Dell Technologies, Inc.
• Happiest Minds Technologies Limited
• Hewlett Packard Enterprise Development LP
• International Business Machines Corporation
• Microsoft Corporation
• Nippon Telegraph and Telephone Corporation
• SAS Institute Inc.
• Securonix, Inc.
• Splunk, Inc.
• Trend Micro Incorporated
• Verint Systems Inc.
• Wipro Limited
• WSO2, Inc.

Key Topics Covered:

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW

• The Race Between the Virus & Vaccines Intensifies. Amidst this Chaotic Battle, Where is the World Economy Headed?
• Progress on Vaccinations: Why Should Businesses Care?
• COVID-19-Led Shift to Remote Working
• Industries Expedite Digital Transformation Strategies: AI Gains Significant Interest
• Applications of AI in War against the Pandemic
• Machine Learning Benefits Healthcare Organizations
• Retailers Rely on AI to Stay Afloat & Embrace New Normal
• Competitive Scenario
• Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2022 (E)
• Global Market Prospects & Outlook
• Emerging Threat Landscape Augurs Well for Global Anomaly Detection Market
• Anomaly Detection Goes Common with Favorable Trends & Drivers
• With IMF's Upward Revision of Global GDP Forecasts, Most Companies are Bullish about an Economic Comeback Despite a Continuing Pandemic
• Analysis by Technology
• Analysis by End-Use
• Regional Analysis
• An Introduction to Anomaly Detection
• Technique Categories
• Anomaly Detection Settings
• Time-Series Anomalies: Types & Detection Methods
• Benefits and Use Cases of Anomaly Detection
• Applications
• Recent Market Activity
• Select Global Brands
• Emphasis on Technology Adoption Elicits AI Implementation in Manufacturing Industry

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS

• The Pace of Digital Transformation to Determine Pace of Demand for Anomaly Detection
• Anomaly Detection Emerges as Future-Proof Strategy for Businesses
• Anomaly Detection, Analytics & Cognitive Intelligence
• Real-Time Anomaly Detection & Analytics Get Intertwined with Cognitive Intelligence
• Real-Time Anomaly Detection in Clusters
• Trends in Big Data to Shape Future of AI and Anomaly Detection
• Edge Computing Critical to IoT Anomaly Detection
• Hosting at Edge to Drive Growth
• Convergence of AI and IoT to Bring in Efficiencies
• ML-based Anomaly Detection
• Machine Learning and AI-Assisted Platforms Personalize Customer Experiences in Marketing Applications Leading to Demand Growth of Anomaly Detection
• MLAD Holds Potential to Identify Anomalies
• Anomaly Detection: Real Opportunities to Identify Time-Series Data Anomalies
• Anomalous Data Detection with Self-Supervised Learning: A Review
• Anomaly Detection Emerges as Hot Trend in Ad Tech Landscape
• Financial Sector: AI and ML Offer Numerous Gains for Anomaly Detection
• Anomaly Detection through AI Technology Steps into Manufacturing Space to Transform Diverse Aspects
• Industrial AI to Influence Manufacturing in a Major Way
• Industrial IoT, Robotics and Big Data to Stimulate Anomaly Detection
• Challenges in Anomaly Detection
• Ad Fraud: The Implications & Anomaly Detection

4. GLOBAL MARKET PERSPECTIVE

III. MARKET ANALYSIS

IV. COMPETITION

For more information about this report visit https://www.researchandmarkets.com/r/xmng32