Anomaly Detection Market-Size By Business Function, By Component, By Deployment Model, By Organization Size, By End User, By Geographic Scope And Forecast Up to 2022 (Trending Report)

Japan, Japan, Wed, 12 Jan 2022 07:47:47 / Comserve Inc. / -- The global anomaly detection market size is expected to grow from USD 2.08 billion in 2017 to USD 4.45 billion by 2022, at a CAGR of 16.4%.

With COVID-19 resulting in the economic fallout, numerous economies are working on game-changing improvements to protect their employees and clients. While focusing on the ongoing challenges, the leaders are embracing new plans in order to manage and stay afloat in this competitive environment.

The global anomaly detection market size is expected to grow from USD 2.08 billion in 2017 to USD 4.45 billion by 2022, at a CAGR of 16.4%. The High Performance Data Analytics (HPDA) enables data scientists to detect abnormal behaviors (anomalies) in real-time data and helps monitor device performance, along with preventing data from unauthorized access. As the number of connected devices are increasing, the risk of safeguarding the data on these devices is also increasing, which is driving the anomaly detection market at a significant pace. Software testing has been a major component of the Software Development Lifecycle (SDL) and software developers are using anomaly detection techniques to monitor the functionality of the software. Developers use anomaly detection tools to dynamically extract invariants from program executions and continuously check program behavior against these invariants, and to report all the detected anomalies.

The network behavior anomaly detection segment is expected to grow at the highest CAGR during the forecast period
A network behavior anomaly is a sudden and short-lived deviation from the normal operation of the network. Some anomalies on the network are deliberately caused by intruders with malicious intents, such as a Distributed Denial of Service (DDoS) attack in an Internet Protocol (IP) network, while others may be purely accidental, such as intrusion in a busy network traffic. Most methods of Network Anomaly Detection (NAD) are based on network traffic models, as quick detection is required to initiate a timely response.

The Identity and Access Management (IAM) solution segment is expected to have the largest market size in the anomaly detection market during the forecast period
IAM solution is one of the key components of the user behavior anomaly detectionsolutions. It is designed to support a user-based approach for enterprise security and regulatory compliance. It delivers role-based access to the appropriate user at the right time and also monitors their use to find anomalies and security gaps, through which, organizations can proactively fix vulnerabilities and help prevent malicious activities in the future.

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.

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The APAC region is expected to witness a significant growth and projected to be the fastest-growing region in the anomaly detection market. APAC has witnessed an advanced and dynamic adoption of new technologies and always been a lucrative market. Countries of this region have a major threat issue related to the management of network systems and cyber threats. Due to the adoption of anomaly detection solutions and their associated services, these marketplaces are expected to witness a significant adoption of anomaly detection services during the forecast period.

In the process of determining and verifying the market size of several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. The break-up of the profiles of the primary participants is as follows:

• By Company: Tier 1 – 30 %, Tier 2 – 40%, and Tier 3 – 30%
• By Designation: C-Level – 72%, Director Level – 14%, and Others – 14%
• By Region: North America – 57%, Europe – 14%, and APAC – 29%

Research Coverage
The report includes an in-depth competitive analysis of the key players in the anomaly detection market, along with their company profiles, recent developments, and key market strategies. The report segments the anomaly detection market by component (solution and service), technology, deployment, vertical, and region.

Reasons to buy the Report
The anomaly detection market has been segmented on the basis of component (solution and service), technology, deployment, vertical, and region.
The report will help the market leaders/new entrants in the anomaly detection market in the following ways:
1. The overall anomaly detection market revenue stream has been estimated based on the the revenues generated by vendors, offering anomaly detection and operational intelligence through Software as a Service (SaaS), inclusive of deployment and integration, support and maintenance, and consulting services, offered by professional service providers, including Managed Service Providers (MSPs). The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split into regions.
2. The report helps the stakeholders understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.
3. The report will help the stakeholders to understand the competitors and gain more insights to better their market position. The competitive landscape section includes the competitor ecosystem, new product developments, partnerships, and mergers and acquisitions.

TABLE OF CONTENTS

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 MARKET SCOPE 18
1.4 YEARS CONSIDERED FOR THE STUDY 19
1.5 CURRENCY 19
1.6 STAKEHOLDERS 20
2 RESEARCH METHODOLOGY 21
2.1 RESEARCH DATA 21
2.1.1 SECONDARY DATA 22
2.1.2 PRIMARY DATA 22
2.1.2.1 Breakdown of primaries 23
2.1.2.2 Key industry insights 23
2.2 MARKET SIZE ESTIMATION 24
2.3 MICROQUADRANT RESEARCH METHODOLOGY 26
2.3.1 MICROQUADRANT: WEIGHTAGE CRITERIA 26
2.3.2 QUADRANT DESCRIPTION 26
2.4 RESEARCH ASSUMPTIONS 28
2.5 LIMITATIONS 28

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