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.
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.
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.
AI's inability to detect zero-day and advanced threats.
An increase in insider cyber threats.
SMEs are increasingly in need of cloud-based security solutions.
Growing Use of Socia Media for Business Purposes.
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.
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
On The Basis of Deployment
On The Basis of Technology
Natural Language Processing
On The Basis of Industry Vertical
Automotive & Transportation
Government & Defense
Oil & Gas
On The Basis of Security Type
On The Basis of Application
Identity and Access Management
Risk and Compliance Management
Data Loss Prevention
Unified Threat Management
Security and Vulnerability Management
Intrusion Detection and Prevention System
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.
Rest of Europe
Rest of Asia-Pacific
The Middle East & Africa
Rest of Middle East & Africa
Rest of Latin America
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.
|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|
|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
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
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
9. Consumer Drones Market Segmentation, By Deployment
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
11.5 Government & Defense
11.7 Oil & Gas
12. Consumer Drones Market Segmentation, By Security Type
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
13.7 Fraud Detection
13.8 Intrusion Detection and Prevention System
13.9 Threat Intelligence
14. Regional Analysis
14.2 North America
14.3.6 The Netherlands
14.3.7 Rest of Europe
14.4.2 South Korea
14.4.6 Rest of Asia-Pacific
14.5 The Middle East & Africa
14.5.3 South Africa
14.6 Latin America
14.6.3 Rest of Latin America
15. Company Profiles
15.1 NVIDIA Corporation
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.
15.9 Cylance Inc.
15.10 Vectra AI, Inc.
16. Competitive Landscape
16.1 Competitive Benchmarking
16.2 Market Share Analysis
16.3 Recent Developments
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