Global Anomaly Detection Market 2030 by Component, Deployment Model, Organization Size, Technology, End-use Industry and Region - Partner & Customer Ecosystem Competitive Index & Regional Footprints

The Anomaly Detection Market size is estimated to grow from USD 6.7 Billion in 2022 to reach USD 7.8 Billion by 2030, growing at a CAGR of 16.3% during the forecast period from 2023 to 2030.

Major players Anomaly Detection Market include: Amazon Web Services, Inc., Anodot Ltd., Broadcom, Inc., Cisco Systems, Inc., Dell Technologies, Inc., Dynatrace, LLC., GURUCUL, Happiest Minds, Hewlett Packard Enterprise Company, International Business Machines Corp., LogRhythm, Inc., Microsoft Corp., SAS Institute, Inc., Splunk, Inc., Trend Micro, Inc. and Others.

The Growth of Anomaly Detection Market Driven by Rising Incidence of Internal Threats and Cyber Fraud

The increasing occurrence of internal threats and cyber fraud has solidified anomaly detection as a significant global trend. Enterprises are embracing these technologies to identify uncommon patterns in network data flow that signal potential hacking endeavors or fraudulent actions. Anomaly detection serves not only to spot fraud in online transactions but also to uncover anomalies within operational settings. The expansion of the Internet of Things (IoT) and the growing need for sophisticated solutions to oversee connected scenarios are amplifying the interest in anomaly detection methods.

Increasing number of connected devices

The anomaly detection market is poised for growth, driven by the increasing proliferation of connected devices. These connected devices encompass a range of smart physical devices interconnected via the internet to facilitate data and information sharing within organizations. Anomaly detection plays a pivotal role in monitoring such connected devices, ensuring the security of data traffic in both households and organizational networks. As an illustrative example, according to an article by DataProt, a US-based platform specializing in cybersecurity product information, the year 2021 witnessed over 10 billion active connected devices globally, and this number is projected to surpass 25 billion by 2030. Consequently, the upward trajectory in the number of connected devices is fueling the expansion of the anomaly detection market.

North America Dominated the Anomaly Detection Market during the forecast period

During the forecast period, North America is anticipated to hold the dominant market share and maintain its leadership in the anomaly detection market. The region is currently experiencing several trends, including the Bring Your Own Device (BYOD) culture, an upsurge in the utilization of smart connected devices, and the emergence of the Industrial Internet of Everything (IIoE). North America has consistently faced a higher frequency of threats, intrusions, and security breaches compared to other regions worldwide. Consequently, it hosts a multitude of security vendors. Moreover, the availability of substantial budgets and attractive incentives has prompted numerous prominent corporations to make noteworthy investments within the region. These factors collectively contribute to the flourishing of the market in North America. Additionally, the growth of Small and Medium-Sized Enterprises (SMEs) and the thriving startup environment is progressing at an accelerated pace in North America, setting it apart from other regions.

On the other hand, Asia Pacific (APAC) has consistently proven to be a lucrative market for Anomaly Detection, primarily due to its sophisticated and proactive embrace of emerging technologies. This region is anticipated to exhibit the highest Compound Annual Growth Rate (CAGR) within the anomaly detection market throughout the forecast period. Moreover, the rapid evolution of the IT infrastructure and the integration of cutting-edge technologies like big data and analytics, augmented reality, industrial Internet of Things (IoT), remote asset management, cloud computing, and cybersecurity are propelling market expansion. Additionally, businesses within the APAC realm are intensifying their investments in substantial-scale infrastructure initiatives. While competition from open-source alternatives and a shortage of expertise pose constraints on the market, recent strides, novel product unveilings, and strategic acquisitions by prominent market players are actively propelling the growth trajectory of the market.

The Anomaly Detection Market research report provides an in-depth overview of the industry including market segmentation by Component, Deployment Model, Organization Size, Technology, End-use Industry and Region. Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as new product launch, collaborations, expansions, investment analysis, mergers and acquisitions.

Anomaly Detection Market is segmented by region and further by countries, Component, Deployment Model, Organization Size, Technology, End-use Industry and Region. Players, stakeholders, and other participants in the global Anomaly Detection Market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue forecast for the period 2023-2030.

Report further studies the market strategies of key players, recent development status, future plans and Anomaly Detection Market trends across the world. Also, it splits Anomaly Detection Market Segmentation by material, end-user and region to deep dive research and reveals company profile and prospects.

Major Classifications are as follows:

By Component

• Solutions
• Network behavior anomaly detection
• Network traffic analysis
• Network intelligence and security
• Risk mitigation and management
• User behavior anomaly detection
• Identity and Access Management (IAM)
• Threat intelligence and management
• Data Loss Prevention (DLP)
• Security Information and Event Management (SIEM)
• Services
• Professional services
• Managed services

By Deployment Model

• Cloud
• On-Premise
• Hybrid

By Organization Size

• Large Enterprises
• SMEs

By Technology

• Big data analytics
• Data mining & business intelligence
• Machine learning & Artificial intelligence

By End-use Industry

• BSFI
• Retail
• Manufacturing
• IT & Telecom
• Defense & Government
• Healthcare
• Others

By Region

• North America
• US
• Canada
• Latin America
• Brazil
• Mexico
• Argentina
• Rest of Latin America
• Europe
• UK
• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Rest of Asia Pacific
• Middle East & Africa
• UAE
• Saudi Arabia
• Israel
• South Africa
• Rest of Middle East & Africa

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