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Global AI in Cyber Security Markets Industry Analysis and Growth Forecasts, 2019-2020 & 2030 - Increasing Number of Cybercrimes and Rising Adoption of the BYOD Policy

Research and Markets
·7-min read

Dublin, Nov. 18, 2020 (GLOBE NEWSWIRE) -- The "AI in Cyber Security Market Research Report: By Offering, Deployment Type, Technology, Security Type, Application, End User - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

The AI in cyber security market is projected to generate a revenue of $101.8 billion in 2030, increasing from $8.6 billion in 2019, progressing at a 25.7% CAGR during the forecast period (2020-2030).

The market is categorized into threat intelligence, fraud detection/anti-fraud, security & vulnerability management, data loss prevention (DLP), identity & access management, intrusion detection/prevention system, antivirus/antimalware, unified threat management, and risk & compliance management, on the basis of application. The DLP category is expected to advance at the fastest pace during the forecast period.

The number of malicious attacks and cyber frauds have risen considerably across the globe, which can be attributed to the surging penetration on internet and increasing utilization of cloud solutions. Cyber frauds, including payment and identity card thefts, account for more than 55% of all cybercrimes and lead to major losses for organizations, if they are not mitigated. Owing to this, businesses these days are adopting advanced solutions for dealing with cybercrimes in a quick and efficient way.

This is further resulting in the growth of the global AI in cyber security market. AI-based solutions are capable of combating cyber frauds by reducing response time, identifying threats, refining techniques for distinguishing attacks that need immediate attention. The number of cyber-attacks has also been growing because of the surging adoption of the BYOD policy all over the world. It has been observed that the policy aids in increasing productivity and further enhances employee satisfaction.

That being said, it also makes important company information and data vulnerable to cyber-attacks. Devices of employees have wide-ranging capabilities and IT departments are often not able to fully quality, evaluate, and approve each and every devices, which can pose high security threat to confidential data. AI provides advanced protection via the machine learning technology, and hence offers complete endpoint security. The utilization of AI can efficiently aid in mitigating security threats and preventing attacks.

DLP plays a significant role in monitoring, identifying, and protecting the data in storage and in motion over the network. Certain specific data security policies are formulated in each organization and it is mandatory for the IT personnel to strictly follow them. DLP systems are majorly utilized for enforcing data security policies in order to prevent unauthorized usage or access to confidential data. The fraud detection/anti-fraud category accounted for the major share of the market in 2019 and is predicted to dominate the market during the forecast period as well.

Geographically, the AI in cyber security market was led by North America in 2019, as stated by a the publisher report. A large number of companies are deploying cyber security solutions in the region, owing to the surging number of cyber-attacks. Moreover, the presence of established players and high digitization rate are also leading to the growth of regional domain. The Asia-Pacific region is expected to progress at the fastest pace during the forecast period.

In conclusion, the market is growing due to the increasing number of cybercrimes across the globe and rising adoption of the BYOD policy.

Key Topics Covered:

Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.4 Key Stakeholders

Chapter 2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Currency Conversion Rates
2.6 Assumptions for the Study

Chapter 3. Executive Summary
3.1 Voice of Industry Experts/KOLs

Chapter 4. Introduction
4.1 Definition of Market Segments
4.1.1 By Deployment Type
4.1.1.1 Cloud
4.1.1.2 On-premises
4.1.2 By Offering
4.1.2.1 Hardware
4.1.2.2 Software
4.1.2.3 Services
4.1.3 By Technology
4.1.3.1 ML
4.1.3.2 NLP
4.1.3.3 Context-aware computing
4.1.4 By Security Type
4.1.4.1 Network security
4.1.4.2 Data security
4.1.4.3 Identity and access security
4.1.4.4 Cloud security
4.1.4.5 Others
4.1.5 By Application
4.1.5.1 IAM
4.1.5.2 Risk & compliance management
4.1.5.3 DLP
4.1.5.4 UTM
4.1.5.5 Security & vulnerability management
4.1.5.6 Antivirus/Antimalware
4.1.5.7 Fraud detection/anti-fraud
4.1.5.8 Intrusion detection/prevention system
4.1.5.9 Threat intelligence
4.1.5.10 Others
4.1.6 By End User
4.1.6.1 BFSI
4.1.6.2 Retail
4.1.6.3 IT & telecom
4.1.6.4 Healthcare
4.1.6.5 Manufacturing
4.1.6.6 Government & defense
4.1.6.7 Automotive & transportation
4.1.6.8 Others
4.2 Value Chain Analysis
4.2.1 Value Chain Analysis of AI in Cyber Security Market
4.3 Market Dynamics
4.3.1 Trends
4.3.1.1 Rising adoption of chatbots to combat cyberattacks
4.3.1.2 Growing usage of cloud in cyber security
4.3.2 Drivers
4.3.2.1 Increasing number of cyber frauds and malicious attacks
4.3.2.2 Adoption of BYOD Policy
4.3.2.3 Growing adoption of IoT and increasing number of connected devices
4.3.2.4 Impact analysis of drivers on market forecast
4.3.3 Restraints
4.3.3.1 Lack of interoperability with existing IoT systems
4.3.3.2 High complexity and lack of skilled personnel
4.3.3.3 Impact analysis of restraints on market forecast
4.3.4 Opportunities
4.3.4.1 Growing Need for Cloud-Based Security Solutions among SMEs
4.3.4.2 Emergence of super intelligent AI in cyber security
4.4 Impact of COVID-19 on Global AI in cyber security market
4.4.1 Impact of COVID-19 on Cyber Security
4.4.1.1 Current Scenario
4.4.1.2 COVID-19 Scenario
4.4.1.3 Factors Affecting Positive Market Growth
4.4.1.4 Future Scenario
4.5 Porter's Five Forces Analysis

Chapter 5. Global Market Size and Forecast
5.1 By Offering
5.2 By Deployment Type
5.3 By Technology
5.4 By Security Type
5.5 By Application
5.6 By End User
5.7 By Region

Chapter 6. North America Market Size and Forecast

Chapter 7. Europe Market Size and Forecast

Chapter 8. APAC Market Size and Forecast

Chapter 9. LATAM Market Size and Forecast

Chapter 10. MEA Market Size and Forecast

Chapter 11. Major Markets for AI in cyber security
11.1 U.S. AI in Cyber Security Market
11.2 U.K. AI in Cyber Security Market
11.3 Germany AI in Cyber Security Market
11.4 China AI in Cyber Security Market
11.5 Japan AI in Cyber Security Market
11.6 India AI in Cyber Security Market

Chapter 12. Competitive Landscape
12.1 List of Players and Their Offerings
12.2 Competitive Benchmarking of Key Players
12.3 Ranking of Key Market Players
12.4 Strategic Developments in the Market

Chapter 13. Company Profiles
13.1 Business Overview
13.2 Product and Service Offerings
13.3 Key Financial Summary

  • BAE Systems plc

  • RSA Security LLC

  • IBM Corporation

  • Palo Alto Networks Inc.

  • Fortinet Inc.

  • FireEye Inc.

  • Check Point Software Technologies Ltd.

  • Cisco Systems Inc.

  • Juniper Network Inc.

  • Acalvio Technologies Inc.

  • Darktrace Limited

  • Amazon Web Services Inc.

  • NVIDIA Corporation

  • Cylance Inc.

  • Securonix Inc.

For more information about this report visit https://www.researchandmarkets.com/r/85ub60

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