Market Overview
The global artificial intelligence in cyber security market size was valued at USD 20.78 billion in 2022 and is projected to reach USD 102.65 billion by 2033, growing at a CAGR of 19.43 % during the forecast period.
Report Scope
Report Attributes |
Description |
Market Forecast in 2022 |
USD 20.78 billion |
Market Forecast in 2033 |
USD 102.65 billion |
CAGR % 2023-2033 |
19.43 % |
Base Year |
2022 |
Historic Data |
2020-2021 |
Forecast Period |
2023-2033 |
Report USP |
Product, end-user industry, company share, company
heat map, company Capacity Technology Product capacity, growth factors and
more |
Key Companies |
NVIDIA
Corporation; Intel Corporation; Xilinx Inc.; Samsung Electronics Co Ltd;
Micron Technology Inc.; Amazon Web Services, Inc.; IBM Corporation; Microsoft
Corporation; FireEye, Inc.; Palo Alto Networks Inc.; Juniper Networks, Inc.;
Fortinet, Inc.; Cisco Systems Inc.; OthersLL |
Artificial intelligence in cyber security Market:
Description
The global artificial intelligence in cyber security market refers to the application of AI technologies and techniques in the field of cyber security. AI plays a crucial role in enhancing the capabilities of cyber security systems by automating threat detection, response, and mitigation processes.
It leverages
advanced algorithms and machine learning to analyse vast amounts of data,
identify patterns, and detect anomalies that may indicate potential cyber
threats or attacks. AI in cyber security encompasses a range of applications
and solutions that help organizations protect their digital assets, networks,
and data from unauthorized access, malware, and other cyber threats.
The global AI in cyber security market is driven by the increasing sophistication of cyber threats, the need for real-time threat detection and response, and the growing volume and complexity of security data.
Key players in the market include AI
technology providers, cyber security companies, and solution integrators. The
market is expected to witness significant growth as organizations continue to
invest in AI-powered cyber security solutions to strengthen their defences
against evolving cyber threats.
AI-powered
cyber security solutions can effectively detect and analyse patterns and
anomalies in network traffic, system behavior, and user activities. By
leveraging machine learning algorithms, AI systems can identify potential
threats and indicators of compromise in real-time, allowing for proactive
threat detection and response.
AI-driven cyber security solutions can automate incident response processes, enabling organizations to respond to threats quickly and efficiently. AI systems can analyse and prioritize alerts, perform automated investigation and triage, and suggest appropriate remediation actions. This reduces response times, minimizes manual effort, and enables security teams to focus on critical tasks.
Artificial intelligence in cyber security Market: Key
Trends
·
Autonomous
Security Operations:
The convergence of AI and cyber security is driving the development of autonomous security operations. Autonomous security solutions leverage AI algorithms to automate routine security tasks, such as threat detection, incident response, and vulnerability management. These solutions can autonomously analyse and respond to threats, reducing manual effort, and enabling security teams to focus on more strategic and complex tasks.
·
AI-Driven
Threat Intelligence:
AI is being extensively used to enhance threat intelligence capabilities. AI algorithms can analyse large volumes of threat data, including indicators of compromise (IOCs), threat feeds, and vulnerability information, to provide real-time and actionable threat intelligence. This enables organizations to proactively identify and mitigate emerging threats, improving their overall security posture.
Artificial intelligence in cyber security Market:
Segmentation analysis
By Type
·
Network Security
·
Endpoint Security
·
Application Security
·
Cloud Security
By Offering
·
Hardware
·
Software
·
Services
By Technology
·
Machine Learning
·
Natural Language Processing (NLP)
· Context-aware Computing
Artificial intelligence in cyber security Market:
Geographical landscape
North
America is a major market for AI in cyber security, driven by the presence of
leading cyber security companies, advanced technological infrastructure, and
high cyber security spending. The United States, in particular, is a key
contributor to the market, with a strong focus on AI-driven security solutions
across industries such as finance, healthcare, and technology. The region also
benefits from government initiatives and collaborations between industry and
academia to advance AI in cyber security.
Europe is
a significant market for AI in cyber security, with countries such as the
United Kingdom, Germany, France, and the Netherlands leading the adoption of
AI-driven security solutions. The region emphasizes data protection and privacy
regulations, which drive the need for advanced cyber security technologies.
Europe also has a robust research and development ecosystem, fostering
innovation in AI and cyber security.
The Middle East and Africa region are also witnessing growth in the adoption of AI in cyber security. Countries such as the United Arab Emirates, Saudi Arabia, and Israel are leading the market, driven by their strong focus on cyber security and technological advancements. The region faces unique cyber security challenges due to geopolitical tensions and state-sponsored cyber threats, leading to increased investments in AI-powered security solutions.
Artificial intelligence in cyber security Market: Impact of
COVID
The pandemic has led to a surge in cyber threats and cyber-attacks. Cybercriminals have taken advantage of the chaotic situation, exploiting vulnerabilities in remote work setups, phishing scams, and malware attacks. Organizations across sectors have experienced a rise in cyber-attacks, emphasizing the need for robust AI-driven cyber security solutions to detect and mitigate these threats.
The pandemic has accelerated the adoption of remote work practices, with organizations worldwide implementing work-from-home policies. This shift has expanded the attack surface for cyber threats, as employee’s access corporate networks and sensitive data from various locations and devices.
AI in cyber
security plays a critical role in securing remote work environments by detecting
and preventing unauthorized access, phishing attempts, and data breaches.
The pandemic has underscored the importance of AI-powered cyber security solutions to combat the evolving cyber threats. Organizations have recognized the need for advanced technologies that can quickly detect, analyse, and respond to emerging cyber risks.
As a result, the demand for AI-driven solutions, such as
threat intelligence platforms, behavioural analytics, and automated incident
response systems, has increased.
The pandemic has highlighted the need for proactive threat detection and prevention. AI algorithms can analyse large volumes of data, including network traffic, user behavior, and system logs, to identify patterns and anomalies indicative of cyber threats.
By leveraging AI in cyber security, organizations can detect and respond to threats in real-time, mitigating potential damage and minimizing the risk of breaches.
Artificial intelligence in cyber security Market: Key
Companies
·
NVIDIA Corporation
·
Intel Corporation
·
Xilinx Inc.
·
Samsung Electronics Co Ltd
·
Micron Technology Inc.
·
Amazon Web Services, Inc.
·
IBM Corporation
·
Microsoft Corporation
·
FireEye, Inc.
·
Palo Alto Networks, Inc.
·
Juniper Networks, Inc.
·
Fortinet, Inc.
· Cisco Systems, Inc.
Artificial intelligence in cyber security Market: Regional
Scope
North America
·
U.S.
·
Canada
·
Mexico
Europe
·
U.K.
·
Germany
·
France
·
Italy
·
Spain
·
Rest of Europe
Asia Pacific
·
China
·
India
·
Japan
·
South Korea
·
Australia
·
Rest of Asia Pacific
South America
·
Brazil
·
Argentina
·
Rest of South America
Middle East and Africa
·
Saudi Arabia
·
UAE
·
Egypt
·
South Africa
·
Rest of Middle East and Africa
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Market Research Process
We Market Research monitors 3 important attributes during the QA process- Cost, Schedule & Quality. We believe them as a critical benchmark in achieving a project’s success.
One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached We Market Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).
The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research
The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.
In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.
Business process outsourcing, being one of the lucrative markets from both supply- and demand- side, has appealed to various companies. One of the prominent corporations based out of Japan approached us with their requirements regarding the scope of the procurement outsourcing market for around 50 countries. Additionally, the client also sought key players operating in the market and their revenue breakdown in terms of region and application.
Business Solution
An exhaustive market study was conducted based on primary and secondary research that involved factors such as labor costs in various countries, skilled and technical labors, manufacturing scenario, and their respective contributions in the global GDP. A comparative study of the market was conducted from both supply- and demand side, with the supply-side comprising of notable companies, such as GEP, Accenture, and others, that provide these services. On the other hand, large manufacturing companies from them demand-side were considered that opt for these services.
Conclusion
The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2033.
The global artificial intelligence in cyber security market size was valued at USD 20.78 billion in 2022 and is projected to reach USD 102.65 billion by 2033, growing at a CAGR of 19.43 % during the forecast period.
The convergence of AI and cyber security is driving the development of autonomous security operations.
Some of the major players operating within the market are NVIDIA Corporation; Intel Corporation; Xilinx Inc.; Samsung Electronics Co Ltd; Micron Technology Inc.; Amazon Web Services, Inc.; IBM Corporation; Microsoft Corporation; FireEye, Inc.; Palo Alto Networks Inc.; Juniper Networks, Inc.; Fortinet, Inc.; Cisco Systems Inc.; OthersLL
North America is a major market for AI in cyber security, driven by the presence of leading cyber security companies, advanced technological infrastructure, and high cyber security spending.
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