USD 18.36 Billion
Artificial Intelligence (AI) in Cybersecurity Market Size, Share, Growth Analysis, By Component, Security (Infrastructure Security, Data Security, Application Security), Technology(ML, NLP, Context-Aware Computing), Organization Size, Application, Vertical, and Region - Industry Forecast 2024-2031
Report ID:
SQMIG45F2068 |
Region:
Global |
Published Date: June, 2024
Pages:
265
|Tables:
126
|Figures:
86
Artificial Intelligence (AI) in Cybersecurity Market Insights
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 rise of Artificial Intelligence (AI) technologies, such as natural language processing (NLP) and machine learning (ML) has gained the ability to protect against, detect and respond to threats. Also, there is a significant increase in cyberattacks in technologies that high-level, security and government agencies explore advanced AI in cybersecurity. Computer AI was asked to provide accurate identification of dynamic security systems.
For example, AI has seen strong requirements to relentlessly verify user authentication in behavioral biometrics. Industry stakeholders are expected to prioritize ML algorithms to leverage the potential of AI to enhance security intelligence. Growing privacy concerns the importance of AI-based cyber security solutions in the banking industry, and the frequency and complexity of cyber threats are factors driving market growth high. The market is expected to expand in response to the growing demand for security solutions.
US AI In Cybersecurity Market is poised to grow at a sustainable CAGR for the next forecast year.
Market Snapshot - 2024-2031
Global Market Size
Largest Segment
Services
Fastest Growth
Software
Growth Rate
22.53% CAGR
Global Artificial Intelligence (AI) in Cybersecurity Market ($ Bn)
Country Share for North America Region (%)
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Artificial Intelligence (AI) in Cybersecurity Market Segmental Analysis
Artificial intelligence (AI) in cybersecurity market is segmented based on offering, security type, technology, application, organization size, industry vertical and region. By offering, the market is segmented into hardware [accelerator, processor {micro processing unit (MPU), graphics processing unit (GPU), field programmable gate arrays (FPGA), application specific integrated circuit (ASIC), tensor processing unit (TPU), other processors}, storage, network], solution/platform [standalone, and integrated. By services, the market is segmented into [professional services {consulting services, deployment & integration, support & maintenance}, managed services]. By security type, the market is divided into infrastructure security (network security, endpoint security, cloud security, and others), data security, application security, and others. By technology, the market is segmented into machine learning [deep learning {convolutional neural network (CNN), recurrent neural network (RNN), generative AI (generative adversarial networks, variational autoencoders, transformative AI, others)}], supervised learning, unsupervised learning, reinforcement learning, neural networks], natural language processing [text analysis, chatbot security, sentimental analysis, natural language generation (NLG), named entity recognition (NER), natural language understanding (NLU)], context-aware computing [automated threat intelligence, threat hunting, automation & orchestration {security orchestration automation & response (SOAR), robotic process automation (RPA)}], computer vision [image recognition, object detection, anomaly detection, video analysis, facial recognition, security surveillance optimization]. By application, the market is segmented into identity & access management, risk & compliance management, data loss prevention, unified threat management, fraud detection, security & vulnerability management, intrusion detection/prevention system, and others. By organization Size, the market can be divided into large enterprises, and SMEs. By industry vertical the market is segmented into BFSI, IT & Telecom, government & defense, manufacturing, retail & ecommerce, media & entertainment, automative, and others. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Analysis by Offerings
Among the three segments, services are the largest segment in the artificial intelligence (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.
Analysis by Technology
In artificial intelligence (AI) in cybersecurity market, machine learning emerges as the dominating technology. It owes this to the fact that it can analyze lots of information to look 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.
Global Artificial Intelligence (AI) in Cybersecurity Market By Offerings (%)
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Artificial Intelligence (AI) in Cybersecurity Market Regional Insights
North America has the largest market share of artificial intelligence (AI) in cybersecurity market due to its position as the world’s leading technology and cybersecurity company. Some big companies 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.
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.
Global Artificial Intelligence (AI) in Cybersecurity Market By Geography
- Largest
- Fastest
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Artificial Intelligence (AI) in Cybersecurity Market Dynamics
AI In Cybersecurity Market Drivers
Increasing Sophistication of Cyber Attacks
- The increasing and frequent occurrence of cyberattacks are key drivers for the adoption of AI in cybersecurity. Traditional security measures often struggle to keep pace with the evolving threat landscape. AI technologies, capable of analyzing large amounts of data and identifying patterns of malpractice, will provide enhanced protection against sophisticated attacks, including everyday vulnerabilities and persistent threats (APTs).
Increased Use of IoT and Connected Devices
- The proliferation of Internet of Things (IoT) devices and increasing connectivity across networks has expanded the surface of cybercriminal attacks AI-powered cybersecurity solutions can enable threat detection, response and remediation systems to monitor a wide range of objects this is properly maintained and protected. It also requires security measures.
Restraints
Increased Implementation Costs
- Implementing AI-powered cybersecurity solutions requires significant expenditures including the cost of software, hardware and skilled personnel small and medium enterprises (SMEs) in particular find that these solutions are expensive, limiting their uptake. High costs can also be a barrier for larger organizations that want to deploy AI more widely across their businesses.
Data Privacy and Ethical Issues
- The use of AI in cybersecurity raises worries about data privateness and ethical troubles. AI structures require large volumes of information to function efficiently, which could consist of organizational facts. Ensuring that this information is accrued, stored, and utilized in compliance with privateness guidelines is a vital undertaking. Additionally, the capability for AI to be used in methods that infringe on person rights or cause biased selection-making poses ethical dilemmas that need to be addressed.
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Artificial Intelligence (AI) in Cybersecurity Market Competitive Landscape
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
- 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.
- Check Point Software Technologies Ltd.
- Imperva
- McAfee LLC
- LogRhythm, Inc.
- Sophos Ltd.
- NortonLifeLock Inc.
- Crowdstrike Holdings, Inc.
- Darktrace
- Cylance Inc.
- Vectra AI, Inc.
- ThreatMetrix Inc.
- Securonix Inc.
- Sift Science
- Acalvio Technologies
- SparkCognition Inc.
- Symantec Corporation
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.
Artificial Intelligence (AI) in Cybersecurity Key Market Trends
- Integrating AI into Threat Intelligence Systems: One of the most important trends in artificial intelligence (AI) in cybersecurity market is the integration of AI technology into threat intelligence systems. This integration enhances the ability to anticipate, detect and respond to emerging threats in real time. AI algorithms can analyze threat data from multiple sources, including dark web platforms, social media, and network traffic to find patterns and anomalies that can indicate potential cyber-attacks. AI-powered platforms can provide accurate and realistic insights and timely by automating correlation and analysis of threat intelligence Being able to strongly defend against cyber threats. This trend is driving the development of sophisticated and scalable cyber security solutions.
Artificial Intelligence (AI) in Cybersecurity Market SkyQuest Analysis
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 skyquest 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 and 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 |
|
| 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 |
|
| Customization scope | Free report customization with purchase. Customization includes:-
|
To get a free trial access to our platform which is a one stop solution for all your data requirements for quicker decision making. This platform allows you to compare markets, competitors who are prominent in the market, and mega trends that are influencing the dynamics in the market. Also, get access to detailed SkyQuest exclusive matrix.
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Artificial Intelligence (AI) in Cybersecurity Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Artificial Intelligence (AI) in Cybersecurity Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
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.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Artificial Intelligence (AI) in Cybersecurity Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Artificial Intelligence (AI) in Cybersecurity Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
Artificial Intelligence (AI) in Cybersecurity Market Report Snapshots
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