USD 18.36 Billion
Report ID:
SQMIG45F2068 |
Region:
Global |
Published Date: June, 2024
Pages:
265
|Tables:
126
|Figures:
86
Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 18.36 Billion in 2022 and is poised to grow from USD 22.49 Billion in 2023 to USD 114.30 Billion by 2031, at a CAGR of 22.53% during the forecast period (2024-2031).
The use of Artificial Intelligence (AI) in the cybersecurity market has an impact as a significant force that helps keep digital assets safe. The more common and sophisticated cyber threats become, the more important AI gains in cyber security. Technologies related to AI enable a highly dynamic and pre-emptive way to detect and manage threats, redefining how traditional cybersecurity is practiced. Through machine learning algorithms plus predictive analytics, organizations can implement systems that can autonomously scrutinize large sets of data for any abnormal patterns or possible breach points in real time. In other words, being proactive with threat detection lets organizations lead against cyber adversaries— significantly reducing their risk for financial losses and data breaches, as they stay one step ahead.
The use of AI in automation and orchestration helps find a direct path to threat detection and proper work that is needed for it. Through this, security teams can act fast enough and identify cyber threats on their system without much effort or time wastage. As a result, the implementation of AI-driven cybersecurity solutions improves the efficiency of responding to incidents. It ensures not only lowering response times but also preventing losses. This action can lead to reducing business interruption and reputational damage. In another perspective, platforms like AI-driven threat intelligence give insights into what lies ahead by providing actionable information on emerging threats— allowing firms take preemptive action by prioritizing security measures based on real-time threat intelligence.
The AI market is rapidly expanding, as organizations across various industries are imperative of fortifying their digital defenses against evolving cyber threats. This implies organizations from any field are realizing the importance of not only creating cyber defense but also constantly updating it. Therefore, businesses across the globe are continuously investing in using AI in their cyber security. At this pace, the AI-powered cybersecurity solutions' demand is likely to intensify further— fostering innovation at all levels within cyberspace and expanding markets while redefining cyber defense strategies.
US AI In Cybersecurity Market is poised to grow at a sustainable CAGR for the next forecast year.
Global Market Size
USD 18.36 Billion
Largest Segment
Services
Fastest Growth
Software
Growth Rate
22.53% CAGR
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Global Artificial Intelligence (AI) in Cybersecurity Market is segmented on the basis of offering, security type, technology, application, vertical and region. By offering, the market is segmented into hardware, software, and services. By security type, the market is divided into infrastructure security, data security, application security, and others. By technology, the market is segmented into machine learning (ML), natural language processing (NLP), and context-aware computing. By application, the market is segmented into identity & access management, risk & compliance management, data loss prevention, unified threat management, fraud detection, and others. By vertical the market is segmented into, BFSI, it & telecom, government & defense, manufacturing, and others. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
AI In Cybersecurity Market Analysis by Offerings
Among the three segments, Services is the largest segment in the AI in cybersecurity market because users need professional assistance and knowledge to implement artificial intelligence into their organizations. Some of these are consulting, system integration and even managed security services.
On the other hand, the software segment at present holds the fastest growth rate due to the constant advancements in AI and machine learning algorithms. Such advancements are improving the abilities of cybersecurity software to identify and combat threats on a real-time basis and thus causing the demand across various sectors to rise. The evolution of cyber threats, the increase in their number and complexity, drives the necessity of utilizing AI technologies in software solutions.
AI In Cybersecurity Market Analysis by Technology
In the Artificial Intelligence (AI) cybersecurity market, Machine Learning emerges as the dominating technology. It owes this to the fact that it can analyze lots of information to look for relationships and predict possible dangers, two critical aspects in cybersecurity. This is because Machine Learning can learn when it comes to data inputs, thus can be used to identify and prevent threats before they occur. This technology works best in its capacity to improve the algorithms that help detect and prevent cyber threats in the system. Machine Learning is a critical component of cybersecurity today and in the future, and it can provide organizations with the necessary tools to combat today’s threats.
However, the Natural Language Processing (NLP) segment is the leader in this field. Such advanced forms of cyber threats that relate to language and communication mediums have created a need for NLP, because of the improved ability to identify and prevent text-based attacks, thus making it an important tool in the contemporary cybersecurity domain.
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North America has the largest market share of the AI in cybersecurity market due to its position as the world’s leading technology and cybersecurity company. Some of the big companies that are located in the region include NVIDIA Corporation, Intel Corporation, IBM Corporation, Microsoft Corporation, among others, which promote innovation and boost the market. It should be mentioned that North American companies and organizations tend to be technology leaders, including the use of artificial intelligence for cybersecurity. This forward-thinking approach contributes to the expansion of the market and raises the bar for AI solutions, making the region a key player in the global cybersecurity landscape.
Among all, Asia Pacific is expected to grow fastest during the forecast period. The reason for the same is increasing acquisition of AI In Cybersecurity technology in bigger organizations in the region of Asia Pacific and mainly in China and Japan. Penetration of Data threats & cyberattacks in Asia Pacific has doubled in the last few years. In addition, bigger organizations and startups are investing heavily to provide high data security services at an affordable price to the consumers, which is likely to boost the demand for AI In Cybersecurity in the region.
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AI In Cybersecurity Market Drivers
Increasing Sophistication of Cyber Threats
Growing Volume of Data
AI In Cybersecurity Market Restraints
Increasing Sophisticated Zero-day of AI to Hinder Market Growth
High Implementation Costs:
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Competition in the AI In Cybersecurity market is expected to increase during the forecast period because new players are expected to enter the global market and the number of software and services compatible with AI In Cybersecurity will also increase. Currently, only a few key players are providing their services in the global market, but these numbers will increase in the upcoming years.
AI In Cybersecurity Market Top Player’s Company Profiles
AI In Cybersecurity Market Recent Developments
In October 2022, LogRhythm Axon launched its groundbreaking cloud-native software as a service (SaaS) platform built from the ground-up for security teams that are stretched thin by overwhelming amounts of data and an ever-evolving threat landscape.
In August 2022, BluVector, a leader in network security and a Comcast company, announced the release of its full network detection and response (NDR) solution, Automated Threat Hunting (ATH). ATH is a cloud-based SaaS offering that maximizes the latest artificial intelligence (AI) to transform the threat hunting process. BluVector’s newest offering empowers cyber security teams to pivot from passive, reactive defense to proactive threat hunting.
Smart Automation in Identity and Access Management (IAM) Security
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyses the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.
According to our artificial intelligence (AI) In Cybersecurity market analysis, the global market is estimated to have significant growth during the forecast period because of the benefits it consists of such as automation, large data analyzation and high security. AI In CyberSecurity will enable software, services to be more convenient for their users. The market has so much potential for new players also because of the high expected rate of growth and demand.
Report Metric | Details |
---|---|
Market size value in Cybersecurity | USD 18.36 Billion |
Market size value in 2031 | USD 114.30 Billion |
Growth Rate | 22.53% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Artificial Intelligence (AI) in Cybersecurity Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Artificial Intelligence (AI) in Cybersecurity Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Report ID: SQMIG45F2068