One Stop Solution For In-Depth Market Research Reports

詳細な市場調査レポートのワンストップソリューション

Home    >    ICT AND TELECOM   >   Anomaly Detection Market

異常検出市場ー業界洞察、主要プレーヤー・企業別、成長機会別、最新傾向別、開発別、主要な成長ドライバー別、主要な課題別によってセグメンテーション、予測 2022年


[ 英語タイトル ] Anomaly Detection Market by Solution (Network and User Behavior Anomaly Detection), Technology (Big Data Analytics, Data Mining and Business Intelligence, Machine Learning and Artificial Intelligence), Deployment, Service, Vertical - Global forecast to 2022


Product Code : MNMICT00108566
Survey : MarketsandMarkets
Publish On : August, 2021
Category : ICT and Telecom
Study Area : Global
Report format : PDF
Sales price option (consumption tax not included)
Single User USD5650 / Question Form
5 User USD6650 / Question Form
Enterprise User USD10000 / Question Form

[Report Description]

The anomaly detection market is expected to grow at a Compound Annual Growth Rate (CAGR) of 16.4% during the forecast period due to the rise in internal threat among enterprises and increase in cyber espionage and fraudulent activities.
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 have the largest market size, and Asia Pacific (APAC) is projected to grow at the highest rate during the forecast period
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.
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%
The anomaly detection market includes various major vendors, such as International Business Machines (IBM) Corporation (US), Cisco Systems, Inc. (US), Wipro Limited (India), Dell Technologies, Inc.(US), Hewlett Packard Enterprise (HPE) Company (US), SAS Institute, Inc. (US), Symantec Corporation (US), Happiest Minds (India), Splunk, Inc.(US), Trustwave Holdings (US), Inc., Gurucul (US), Varonis Systems (US), Flowmon Networks (Czech Republic), GreyCortex s.r.o.(Czech Reupblic), and Guardian Analytics (US).
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
3 EXECUTIVE SUMMARY 29
4 PREMIUM INSIGHTS 33
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE ANOMALY DETECTION MARKET 33
4.2 ANOMALY DETECTION MARKET: MARKET SHARE OF THE TOP 3 USER BEHAVIOR ANOMALY DETECTION SOLUTIONS AND REGIONS, 2017 34
4.3 LIFECYCLE ANALYSIS, BY REGION, 2017 34
4.4 ANOMALY DETECTION MARKET, BY REGION, 2017 VS. 2022 35
4.5 MARKET INVESTMENT SCENARIO 36
4.6 ANOMALY DETECTION MARKET: TOP 3 VERTICALS, 2017–2022 36
5 MARKET OVERVIEW 37
5.1 INTRODUCTION 37
5.2 MARKET DYNAMICS 38
5.2.1 DRIVERS 38
5.2.1.1 Growth of data and emergence of HPDA 38
5.2.1.2 Increase in the adoption of anomaly detection solutions in software testing 39
5.2.1.3 Increase in cyber espionage and fraudulent activities 39
5.2.1.4 Rise in internal threats among enterprises 40
5.2.2 RESTRAINTS 40
5.2.2.1 Competition from open-source alternatives hampering the demand for commercial solutions 40
5.2.2.2 Lack of skills and expertise 40
5.2.3 OPPORTUNITIES 41
5.2.3.1 Detection of anomalies in streaming data from assets, and optimization of business processes 41
5.2.3.2 Rise in the adoption of black box trading by market traders 41
5.2.4 CHALLENGES 41
5.2.4.1 Detection of asymmetric faults 41
5.3 ANOMALY DETECTION MARKET PENETRATION BY ORGANIZATION SIZE 42
6 ANOMALY DETECTION MARKET ANALYSIS, BY COMPONENT 43
6.1 INTRODUCTION 44
6.2 SOLUTIONS 45
6.3 SERVICES 46
7 ANOMALY DETECTION MARKET ANALYSIS, BY SOLUTION 47
7.1 INTRODUCTION 48
7.2 NETWORK BEHAVIOR ANOMALY DETECTION 49
7.2.1 NETWORK TRAFFIC ANALYSIS 50
7.2.2 NETWORK INTELLIGENCE AND SECURITY 51
7.2.3 RISK MITIGATION AND MANAGEMENT 52
7.3 USER BEHAVIOR ANOMALY DETECTION 53
7.3.1 IDENTITY AND ACCESS MANAGEMENT 54
7.3.2 THREAT INTELLIGENCE AND MANAGEMENT 56
7.3.3 DATA LOSS PREVENTION 57
7.3.4 SECURITY INFORMATION AND EVENT MANAGEMENT 58
8 ANOMALY DETECTION MARKET ANALYSIS, BY SERVICE 59
8.1 INTRODUCTION 60
8.2 PROFESSIONAL SERVICES 61
8.2.1 DEPLOYMENT AND INTEGRATION 62
8.2.2 CONSULTING SERVICES 62
8.2.3 SUPPORT AND MAINTENANCE 63
8.3 MANAGED SERVICES 64

9 ANOMALY DETECTION MARKET ANALYSIS, BY TECHNOLOGY 65
9.1 INTRODUCTION 66
9.2 BIG DATA ANALYTICS 67
9.3 DATA MINING AND BUSINESS INTELLIGENCE 68
9.4 MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE 68
10 ANOMALY DETECTION MARKET ANALYSIS, BY DEPLOYMENT TYPE 70
10.1 INTRODUCTION 71
10.2 ON-PREMISES 72
10.3 CLOUD 73
10.4 HYBRID 74
11 ANOMALY DETECTION MARKET ANALYSIS, BY VERTICAL 75
11.1 INTRODUCTION 76
11.2 BANKING, FINANCIAL SERVICES AND INSURANCE 77
11.3 RETAIL 79
11.4 MANUFACTURING 80
11.5 IT AND TELECOM 81
11.6 DEFENSE AND GOVERNMENT 82
11.7 HEALTHCARE 83
11.8 OTHERS 84
12 GEOGRAPHIC ANALYSIS 85
12.1 INTRODUCTION 86
12.2 NORTH AMERICA 88
12.3 EUROPE 93
12.4 ASIA PACIFIC 96
12.5 MIDDLE EAST AND AFRICA 101
12.6 LATIN AMERICA 105
13 COMPETITIVE LANDSCAPE 109
13.1 MICROQUADRANT OVERVIEW 109
13.1.1 VISIONARY LEADERS 109
13.1.2 INNOVATORS 109
13.1.3 DYNAMIC DIFFERENTIATORS 109
13.1.4 EMERGING COMPANIES 110
13.2 COMPETITIVE BENCHMARKING 111
13.2.1 STRENGTH OF PRODUCT PORTFOLIO ADOPTED BY MAJOR PLAYERS IN THE ANOMALY DETECTION MARKET 111
13.2.2 BUSINESS STRATEGY EXCELLENCE ADOPTED BY MAJOR PLAYERS IN THE ANOMALY DETECTION MARKET 112

14 COMPANY PROFILES 113
(Overview, Strength of Product Portfolio, Business Strategy Excellence and Recent Developments)*
14.1 CISCO SYSTEMS, INC. 113
14.2 DELL TECHNOLOGIES, INC. 116
14.3 HEWLETT PACKARD ENTERPRISE COMPANY 119
14.4 GUARDIAN ANALYTICS 122
14.5 ANODOT, LTD. 125
14.6 HAPPIEST MINDS 127
14.7 GURUCUL 129
14.8 NIARA, INC. 132
14.9 FLOWMON NETWORKS 134
14.10 WIPRO LIMITED 137
14.11 SAS INSTITUTE INC. 141
14.12 SYMANTEC CORPORATION 145
14.13 TRUSTWAVE HOLDINGS, INC. 149
14.14 INTERNATIONAL BUSINESS MACHINES CORPORATION 152
14.15 LOGRHYTHM, INC. 157
14.16 SPLUNK, INC. 161
14.17 TREND MICRO, INC. 166
14.18 GREYCORTEX S.R.O. 171
14.19 SECURONIX, INC. 173
*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence and Recent Developments might not be captured in case of unlisted companies.
15 APPENDIX 176
15.1 INDUSTRY EXPERTS 176
15.2 DISCUSSION GUIDE 177
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 180
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 182
15.5 AVAILABLE CUSTOMIZATIONS 184
15.6 RELATED REPORTS 184
15.7 AUTHOR DETAILS 185

渋谷データカウント

渋谷データカウントは、最も信頼性が高く最新の調査分析レポートを確実に提供する経験豊富な調査専門家のグローバルチームが提供する、さまざまな業界のさまざまな市場調査レポートを提供する再販代理店です。

Recommended reports

+