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AI in Cyber Security Market

Artificial Intelligence (AI) in Cybersecurity Market Size, Share & Segmentation by Component (Software, Service, and Hardware), by Deployment (Cloud and On-Premise), by Technology (Context-Aware Computing, Machine Learning, Natural Language Processing), by Industry Vertical (Automotive & Transportation, Retail, BFSI, Manufacturing, Government & Defense, Enterprise, Oil & Gas, Education, Others), by Security Type (Network Security, Endpoint Security, Application Security, Cloud Security), by Application (Identity and Access Management, Risk and Compliance Management, Data Loss Prevention, Unified Threat Management, Security and Vulnerability Management, Antivirus, Fraud Detection, Intrusion Detection, and Prevention System, Threat Intelligence, Others), by Regions and Global Market Forecast 2022-2028

Report Id: SNS/ICT/1993 | June 2022 | Region: Global | 135 Pages

Report Scope & Overview:

The Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 13.81 Bn in 2021 and is expected to reach USD 55.87 Bn by 2028, and grow at a CAGR of 21.9% over the forecast period 2022-2028.

Artificial intelligence has advanced considerably in recent years. AI uses range from technology to healthcare and pharmaceutical. AI has shown to be a critical tool in decreasing costs connected with a wide range of activities, including research, manufacturing, automation, monitoring, and adaptation. With speech recognition technology, Facebook facial recognition software, and Google's search engine, artificial intelligence in cyber security enables experts to examine, investigate, and comprehend cybercrime. Artificial intelligence is improving cybersecurity technology and being used to take action against cybercriminals. It is built in such a way that it responds to cyber-attacks in a matter of milliseconds. The notion has a wide range of applications, including anti-fraud measures, security and vulnerability management, and others.

AI in Cyber Security Market

Johnson Controls joins forces with Accenture on smart building sustainability and purchases Tempered for security. Johnson Controls, a building technology and industrial systems corporation, has made two distinct but related initiatives. First, Johnson Controls and Accenture announced a partnership to open and operate two new OpenBlue Innovation Centers, the name of the AI-enabled set of connected products. Meanwhile, Johnson Controls bought Tempered Networks, whose Xero trust network access security technology will be integrated "within the fabric of Johnson Controls' OpenBlue secure communications stack, advancing its vision of enabling fully autonomous buildings that are inherently resilient to cyberattack.

MARKET DYNAMICS:

KEY DRIVERS:

  • Growing IoT Adoption and the Number of Connected Devices.

  • Increased Incidence of Cyber Threats.

  • Rising Data Security Concerns.

  • Increasing Wi-Fi Network Vulnerability to Security Threats.

RESTRAINTS:

  • AI's inability to detect zero-day and advanced threats.

  • An increase in insider cyber threats.

OPPORTUNITY:

  • SMEs are increasingly in need of cloud-based security solutions.

  • Growing Use of Socia Media for Business Purposes.

CHALLENGES:

  • A Scarcity of Cybersecurity and AI Professionals.

  • Incompatibility with Existing Information Systems.

IMPACT OF COVID-19:

Because the COVID-19 epidemic has caused many employers to work from home and students to learn electronically, corporate virtual private network (VPN) servers have now become a valuable resource for big corporations/schools. The protection of one's IT infrastructure through security and the availability of a security framework is predicted to be a key priority in the future. Because of the COVID-19 epidemic, the work of many security teams is expected to be curtailed, making the identification of harmful actions harder and responding to these activities much more challenging. If security personnel is not functioning, revising fixes on systems may also be an issue. Organizations should protect their detection and alerting capabilities while also considering the implications of having a large number of remote workers.

MARKET ESTIMATION:

On the basis of offering, the software category is expected to expand the quickest in the AI in the cyber security market during the forecast period. To comprehend cyber security applications, AI systems require several forms of software, including application program interfaces (APIs) such as language, voice, sensor data, and vision, as well as machine learning (ML) methods. Such aspects will help the category's growth in the market.

Cloud-based AI solutions are expected to develop faster than other deployment types in the cyber security market over the forecast period. Cybercriminals continue to disrupt people's lives by using novel methods of spreading malware and collecting illegal data. In dealing with this, predictive security in the cloud has pioneered security in a way that will baffle cyber spies in the next years. Using the power of the cloud, this technology collects and analyses unfiltered endpoint data in order to forecast and defend customers from future intrusions.

Among all technologies, the ML category held the greatest proportion of the AI in the cyber security market in 2021. The capacity of ML to effectively manage threat learning algorithms employing copious data to safeguard enterprises accounts for the majority of its revenue share. Cyber security systems can use machine learning to evaluate trends and learn from them in order to prevent repeated assaults and adapt to changing behavior. It can assist cyber security teams in being more proactive in terms of avoiding risks and responding to active assaults in real-time.

On the basis of security type, the network security category accounted for the greatest revenue share in the AI in cyber security market in 2021. The expansion of the network security category is mostly driven by the increased usage of wireless networks and their vulnerabilities, as establishments increasingly rely on wireless networks for data transport. A stronger network security system lowers the danger of cyber-attacks and data damage. As a result of these reasons, the category is likely to maintain its dominance during the projection period.

Among all applications, the DLP category is expected to expand the quickest in the AI in cyber security market throughout the forecast period. This is due to the critical function of DLP technology in detecting, monitoring, and safeguarding data in storage as well as in transit across the network. Every firm has certain data security rules in place, and IT professionals are required to rigorously adhere to them. The fraud detection/anti-fraud category had the greatest revenue in 2021 and is expected to have the highest revenue in 2028 as well.

On the basis of end-users, the IT and telecom category held the highest proportion of the AI in the cyber security market in 2021. This is due to significant technical improvements in the internet of things (IoT), cloud, and telecommunications sectors. Because of the rising incidence of data breaches and compromised electronic health information, the healthcare category is likely to increase the quickest throughout the projection period.

KEY MARKET SEGMENT:

On The Basis of Component         

  • Software

  • Service

  • Hardware

On The Basis of Deployment       

  • Cloud

  • On-Premise

On The Basis of Technology        

  • Context-Aware Computing

  • Machine Learning

  • Natural Language Processing

On The Basis of Industry Vertical          

  • Automotive & Transportation

  • Retail

  • BFSI

  • Manufacturing

  • Government & Defense

  • Enterprise

  • Oil & Gas

  • Education

  • Others

On The Basis of Security Type    

  • Network Security

  • Endpoint Security

  • Application Security

  • Cloud Security

On The Basis of Application        

  • Identity and Access Management

  • Risk and Compliance Management

  • Data Loss Prevention

  • Unified Threat Management

  • Security and Vulnerability Management

  • Antivirus

  • Fraud Detection

  • Intrusion Detection and Prevention System

  • Threat Intelligence

  • Others

AI in Cyber Security Market

REGIONAL ANALYSIS:

North America dominated the worldwide artificial intelligence in the cybersecurity industry, owing mostly to the presence of developed economies such as the United States and Canada. The region's high rate of adoption of artificial intelligence in cybersecurity by government agencies, financial institutes, and banks faces a variety of cyber dangers, and numerous large corporations situated in North America are involved in the artificial intelligence in the cybersecurity industry.

During the projected period, the worldwide artificial intelligence in the cybersecurity market in the Asia Pacific is expected to rise at a quick rate. Developing nations in the area are primarily focused on implementing new technologies, with countries such as India, China, and Japan stressing cybersecurity technology in a variety of industries.

REGIONAL COVERAGE:

  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America

KEY PLAYERS:

The major key players are NVIDIA Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics Co., Ltd, Micron Technology, Inc., IBM Corporation, Amazon Web Services, Inc., Darktrace, Cylance Inc., Vectra AI, Inc.

AI in Cyber Security Market Report Scope:
Report Attributes Details
 Market Size in 2021  US$ 13.81 Bn
 Market Size by 2028  US$ 55.87 Bn
 CAGR   CAGR of 21.9% From 2022 to 2028
 Base Year  2021
 Forecast Period  2022-2028
 Historical Data  2017-2020
 Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
 Key Segments • By Component (Software, Service, and Hardware), by Deployment (Cloud and On-Premise)
• By Technology (Context-Aware Computing, Machine Learning, Natural Language Processing)
• By Industry Vertical (Automotive & Transportation, Retail, BFSI, Manufacturing, Government & Defense, Enterprise, Oil & Gas, Education, Others)
• By Security Type (Network Security, Endpoint Security, Application Security, Cloud Security)
• By Application (Identity and Access Management, Risk and Compliance Management, Data Loss Prevention, Unified Threat Management, Security and Vulnerability Management, Antivirus, Fraud Detection, Intrusion Detection, and Prevention System, Threat Intelligence, Others)
 Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
 Company Profiles NVIDIA Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics Co., Ltd, Micron Technology, Inc., IBM Corporation, Amazon Web Services, Inc., Darktrace, Cylance Inc., Vectra AI, Inc.
 Key Drivers • Growing IoT Adoption and the Number of Connected Devices
• Increased Incidence of Cyber Threats
 Market Opportunity • SMEs are increasingly in need of cloud-based security solutions
• Growing Use of Social-Media for Business Purposes

 


Frequently Asked Questions (FAQ) :


Table of Contents

 

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

 

2. Research Methodology

 

3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges

 

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

 

5. Value Chain Analysis

 

6. Porter’s 5 forces model

 

7.  PEST Analysis

 

8. Consumer Drones Market Segmentation, By Component

8.1 Software

8.2 Service

8.3 Hardware

 

9. Consumer Drones Market Segmentation, By Deployment

9.1 Cloud

9.2 On-Premise

 

10. Consumer Drones Market Segmentation, By Technology          

10.1 Context-Aware Computing

10.2 Machine Learning

10.3 Natural Language Processing

 

11. Consumer Drones Market Segmentation, By Industry Vertical

11.1 Automotive & Transportation

11.2 Retail

11.3 BFSI

11.4 Manufacturing

11.5 Government & Defense

11.6 Enterprise

11.7 Oil & Gas

11.8 Education

11.9 Others

 

12. Consumer Drones Market Segmentation, By Security Type      

12.1Network Security

12.2Endpoint Security

12.3Application Security

12.4Cloud Security

 

13. Consumer Drones Market Segmentation, By Application          

13.1 Identity and Access Management

13.2 Risk and Compliance Management

13.3 Data Loss Prevention

13.4 Unified Threat Management

13.5 Security and Vulnerability Management

13.6 Antivirus

13.7 Fraud Detection

13.8 Intrusion Detection and Prevention System

13.9 Threat Intelligence

13.10 Others

 

14. Regional Analysis

14.1 Introduction

14.2 North America

14.2.1 USA

14.2.2  Canada

14.2.3  Mexico

14.3     Europe

14.3.1  Germany

14.3.2  UK

14.3.3  France

14.3.4  Italy

14.3.5  Spain

14.3.6  The Netherlands

14.3.7  Rest of Europe

14.3.    Asia-Pacific

14.4.1  Japan

14.4.2  South Korea

14.4.3  China

14.4.4  India

14.4.5  Australia

14.4.6  Rest of Asia-Pacific

14.5     The Middle East & Africa

14.5.1  Israel

14.5.2  UAE

14.5.3  South Africa

14.5.4  Rest

14.6     Latin America

14.6.1  Brazil

14.6.2  Argentina

14.6.3  Rest of Latin America

 

15. Company Profiles

15.1 NVIDIA Corporation

15.1.1 Financial

15.1.2 Products/ Services Offered

15.1.3 SWOT Analysis

15.1.4 The SNS view

15.2 Intel Corporation

15.3 Xilinx Inc.

15.4 Samsung Electronics Co., Ltd

15.5 Micron Technology, Inc.

15.6 IBM Corporation

15.7 Amazon Web Services, Inc.

15.8 Darktrace

15.9 Cylance Inc.

15.10 Vectra AI, Inc.

 

16. Competitive Landscape

16.1 Competitive Benchmarking

16.2 Market Share Analysis

16.3 Recent Developments

 

17. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of the good and accurate research report and selecting the best methodology to complete the research is the toughest part. Since the research reports, we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

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Step 4: QA/QC Process

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