Artificial Intelligence in Security Market – Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2024

  • September, 2018
  • Domain: ICT - Security,digital technologies
Pages: 87
Tables: 46
Charts: 24
Regions/Countries: 4/7
Companies: 10
Enquiry Hours: 10
  • Get Free 10% Customization in this Report

As digital threats and cybercrimes are rising in number, security needs to be enhanced. Security now needs constant supervision and adaption to the current market scenarios. With the rise in connected enterprises, devices and applications, the businesses are becoming more vulnerable as they are connected to a mass of independent endpoints. AI in security provides an enticing proposition with its proactive threat mitigation capabilities which is needed for constant supervision and adaptation to the multifaceted security vulnerabilities faced by modern digitalized economy.

With the increasing use of sophisticated techniques for cybercrimes, there is a rising need for AI based techniques to counter the threats from malicious software bots. AI can be used to fight against various cyber threats including spear phishing, watering hole attack, webshell, ransomware, DDoS attacks, and remote exploitation, by identifying and preventing them from proliferating into the systems. AI based security systems can analyze even those threats which have not occurred in the past unlike traditional based security systems.

Market Analysis
According to Infoholic Research, the AI in security market is expected to reach $11.95 billion by 2024, growing at a CAGR of around 34.9% during the forecast period. The market is expected to witness a surge in the next few years, factors such as growing need of technologies like AI, machine learning and deep learning to tackle the evolving threats and advanced persistent threats which remains undetected within the network which steal the data, increasing number of security breaches and increasing BYOD trends has further pushed the growth of AI in security market during the forecast period.

Market Segmentation Analysis
The report provides a wide-ranging evaluation of the market. It provides an in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections mentioned in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendor presentations. Thus, the research report serves every side of the market and is segmented based on Regional markets, Software Tools, Security Type, Application, and Verticals.

Competitive Analysis
The report covers and analyzes the AI in security market. As customers are in need of better and comprehensive software tools, the market will witness an increase in the number of strategic partnerships for better product development. With a large pool of startups offering customized solutions, the market is still very fragmented and will consolidate as mergers and acquisitions happen during the forecast period.

The report contains an in-depth analysis of the vendor profiles, which includes financial health, business units, key business priorities, SWOT, strategy; the prominent vendors covered in the report include IBM Corporation, Palo Alto Networks Inc., Amazon, Cylance, LogRhythm, Sift Science, Darktrace, Securonix, ThreatMetrix and others. The vendors have been identified based on the portfolio, geographical presence, marketing and distribution channels, revenue generation, and significant investments in R&D.

Companies including IBM Corporation, Palo Alto Networks, Cylance are the key players in the Supply Chain Analytics market. IBM and MIT are investing in MIT-IBM Watson AI Lab which is focusing towards developing AI algorithms and new applications of AI in various fields such as healthcare and cybersecurity. Recently in 2018, Palo Alto Networks announced that it had acquired Israel-based Secdo to add endpoint detection and response (EDR) capabilities for its advanced endpoint protection and the application framework.

The report also includes the complete insight of the industry and aims to provide an opportunity for the emerging and established players to understand the market trends, current scenarios, initiatives taken by the government, and the latest technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and to take informed decisions.

Regional Analysis
North America had the largest market share in 2017 and is expected to dominate the AI in security market during the forecast period. The market will experience a steep rise in this region. Factors driving the growth of the market in North America includes increasing government funding in this region, increasing IT security budgets which increased by more than 2% compared to the previous year, growing number of cyber-attacks, such as ransomware which has increased more than 50% worldwide with the US been the most affected country with ransomwares such as WannaCry and NotPetya, cryptojacking which disturbs the businesses financially and operationally, and growing presence of providers of AI based security solutions in the region.

The report provides an in-depth analysis of AI in security market. One of the major advantage of using AI in security is that even the small deviations can be captured which were not possible in traditional signature-based approaches. AI and machine learning applications can be used to fight against spear phishing, watering hole, webshell, ransomware, and remote exploitation by identifying the known as well as the unknown threats and preventing those threats before they can execute into the systems. The report is segmented based on Software Tools, Security Type, Application, Verticals and Regions related to this market. Further, the report also provides details about the major challenges impacting the market growth.

1     Industry Outlook
1.1        Industry Overview
1.2        Industry Trends
1.3        PEST Analysis

2     Report Outline
2.1        Report Scope
2.2        Report Summary
2.3        Research Methodology
2.4        Report Assumptions

3     Market Snapshot
3.1        Total Addressable Market (TAM)
3.2        Segmented Addressable Market (SAM)
3.3        Related Markets

4     Market Outlook
4.1        Overview
4.2        Market Trends and Impact
4.3        Market Segmentation

5     Market Characteristics
5.1        Ecosystem
5.2        Market Dynamics
5.2.1     Drivers    Cost incurred from increasing severity of security breaches    Assurance of security professionals on greater reliability on AI based security    Huge demand to bridge the existing security gaps
5.2.2     Restraints    Lack of data scientists    Vulnerabilities in AI platforms
5.2.3     Opportunities    Competence in advanced persistent threat (APT) protection    Stringent regulations to maintain compliance and data privacy
5.2.4     DRO – Impact Analysis

6     Software Tools
6.1        Overview
6.2        Log Manager and Analyzer
6.3        Identity and Access Management (IAM)
6.4        Compliance

7     Security Type: Market Size & Analysis
7.1        Overview
7.2        Network Security
7.3        Endpoint Security
7.4        Application Security
7.5        Cloud Security

8     Applications: Market Size & Analysis
8.1        Overview
8.2        Pre-emptive Threat Intelligence
8.3        Anomaly Detection
8.4        Proactive Risk Assessment and Mitigation

9     Verticals: Market Size & Analysis
9.1        Overview
9.2        BFSI
9.3        Healthcare
9.4        Retail
9.5        Telecom and IT
9.6        Others (Government and Defense, Automotive and Transportation, Energy and Utilities)

10   Regions
10.1     Overview
10.2     North America
10.2.1  Market Size and Analysis
10.2.2  DRO For North America
10.2.3  US
10.2.4  Canada
10.3     Europe
10.3.1  Market Size and Analysis
10.3.2  DRO For Europe
10.3.3  UK
10.3.4  Germany
10.4     APAC
10.4.1  Market Size and Analysis
10.4.2  DRO for Asia Pacific
10.4.3  China
10.4.4  India
10.4.5  Japan
10.5     RoW (ME, Latin America, Africa)
10.5.1  Market Size and Analysis

11   Vendor Profiles
11.1     IBM Corporation
11.1.1  Overview
11.1.2  Business Units
11.1.3  Geographic Revenue
11.1.4  SWOT Analysis
11.1.5  Business Strategies
11.2     Palo Alto Networks
11.2.1  Overview
11.2.2  Geographic Revenue
11.2.3  SWOT Analysis
11.2.4  Business Strategies
11.3     Cylance
11.3.1  Overview
11.3.2  Business Strategies
11.4     Amazon
11.4.1  Overview
11.4.2  Business Units
11.4.3  SWOT Analysis
11.4.4  Business Strategies
11.5     LogRhythm
11.5.1  Overview
11.5.2  Business Strategies

12   Other Prominent Vendors
12.1     Sift Science
12.1.1  Overview
12.2     Darktrace
12.2.1  Overview
12.3     Securonix
12.3.1  Overview
12.4     Deep Instinct
12.4.1  Overview
12.5     ThreatMetrix
12.5.1  Overview

13   Competitive Landscape

Ø           Abbreviations




Research Framework

Infoholic research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Primary & Secondary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting

Market related information is congregated from both primary and secondary sources.

Primary sources

involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

Secondary sources

include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

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