Global Anomaly Detection Market

Anomaly Detection Market Size, Share, Growth Analysis, By Component (Solutions, Services), By Technology (Big data analytics, Data mining), By Network Behavior, By User Behavior, By Deployment Type, By End-Use, By Region - Industry Forecast 2025-2032

Report ID: SQMIG45D2116 | Region: Global | Published Date: December, 2024
Pages: 201 | Tables: 122 | Figures: 72

Anomaly Detection Market News

  • In October 2024, Broadcom Inc. announced the wide availability of BCM55050 and BCM68660, industry’s initial merchant silicon 50G PON (OLT-ONU) devices equipped with NPU. These devices are specially designed to speed up AI and ML at the edge and allow operators of telecom to fuel novel applications on 50G fiber networks.
  • In August 2024, Amazon recently introduced ‘AWS Glue’, an ETL solution that aims to decrease the time required by businesses on refining their data for analytics and machine learning projects. AWS Glue helps businesses to create data integration routes that not just transform and transfer data, but also enforce quality data depending on pre-set rules.
  • In March 2024, Anadot, a prominent provider of cloud cost management, recently declared an important alliance with UBETECH. The prominent Israeli MSP, UBETECH, elected Anadot’s solution for its exceptional anomaly detection competencies and for obtaining complete insights in customer costs and simplify billing.
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FAQs

Global Anomaly Detection Market size was valued at USD 5.04 Billion in 2022 and is poised to grow from USD 5.88 Billion in 2023 to USD 17.12 Billion by 2031, growing at a CAGR of 16.5% in the forecast period (2024-2031). 

The competitive landscape of the global anomaly detection market is the mixture of several established players, technology giants, and innovative startups, aimed at offering advanced anomaly detection solutions in diverse industries. Leading players like IBM, Microsoft, Splunk, SAS, and H2O.ai are expanding their market reach by offering exceptional AI-based solutions, strong predictive modelling and fraud detection tools, and specialization in operational intelligence. Progressing players profiled in the market like Anodot, DataRobot, and Elastic are engaged in offering real-time analytics, automated ML platforms, and integrating superior features in analytics. They are also focused on adopting partnerships, R&D, and innovations, and a high focus on ML/AI. 'Verint Systems Inc. ', 'Broadcom Inc. ', 'Microsoft Corporation ', 'Cisco Systems Inc. ', 'IBM Corporation ', 'Wipro Limited ', 'Trend Micro Incorporated ', 'SAS Institute Inc. ', 'Happiest Minds Technologies Pvt. Ltd. ', 'Darktrace ', 'Splunk Inc. ', 'Sumo Logic Inc. ', 'Vectra AI ', 'Dataminr ', 'Clarifai ', 'Nexthink ', 'Feedzai'

Growing industry regulations and audit trials are considerably impacting the market growth. Sectors like telecommunication, healthcare, and finance are considered to have strict regulations that necessitate efficient and reliable reporting and monitoring mechanisms. This ensures optimal data security and integrity. Anomaly detection also aids businesses to maintain exhaustive audits, thus streamlining compliance with regulations like PCI DSS, GDPR, and HIPAA.

Real-Time Detection of Anomaly: With the growth of data generation on the global scale and from diverse devices and sources, there is an increased need for anomaly detection in real-time. Businesses are demanding quick insights to swiftly respond to the possible threats and risks or any kind of operational issues. Technologies that streamline real-time processing and data analysis are gaining prominence. This is mainly needed in IT security industries; wherein speedy detection can majorly mitigate risks.

Geographically, North America dominated the market in the previous years and is expected to lead over the forecast period owing to technological improvements, amplifying data generation, and growing cybersecurity threats. North America is a leading center for several prominent technology companies and newbies. This notably fuels innovations and advancements in machine learning and AI, important for better detection of anomalies. Also, the region holds a comprehensive digital network that leads to significant data generation in different sectors. This increases the demand for enhanced anomaly detection solutions. Furthermore, the growing cyber threats have again triggered the need for major investments in security services, comprising anomaly detection. The key players profiled in the region include IBM, Splunk, Microsoft, DataRobot, Anodot, SAS, and more.

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Global Anomaly Detection Market

Report ID: SQMIG45D2116

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