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

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DUBLIN, May 20, 2022--(BUSINESS WIRE)--The "Anomaly Detection - Global Market Trajectory & Analytics" report has been added to'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:




  • 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



  • 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




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