USD 13.28 billion
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Global Artificial Intelligence In Security Market Size, Share, Growth Analysis, By Security Type(Network Security, Endpoint Security), By Deployment(On-Premise, Cloud), By Offering(Hardware, Software), By Service(Professional, Managed), By Technology(Machine Learning, Natural Language Processing (NLP)), By Application(Identity, Access Management), By Vertical(BFSI, Retail) - Industry Forecast 2023-2030
Report ID: SQSG45D2029 | Region: Global | Published Date: December, 2022 | Pages: 234 | Tables: 207 | Figures: 80
Global Artificial Intelligence In Security Market Insights
Artificial Intelligence In Security Market size was valued at USD 13.28 billion in 2021 and is poised to grow from USD 16.48 billion in 2022 to USD 93.75 billion by 2030, growing at a CAGR of 24.3% in the forecast period (2023-2030).
In the recent years artificial intelligence has witnessed remarkable advancements. AI is becoming an an essential tool for cutting costs connected with a wide range of activities, including research, manufacturing, automation, monitoring, adaptation, and a large array of other costs. With the aid of Google's search engine, Facebook's facial recognition software, and speech recognition technology, cybercrimes can be studied and identified Artificial intelligence is enhancing cybersecurity tools and are used to combat cybercriminals. It is also designed to react to cyberattacks within milliseconds. The idea is broadly relevant as an anti-fraud strategy, security and vulnerability management, and other areas.
Cyber AI is now in demand because it can provide a proactive defence mechanism with precise detection. For instance, there is a high demand for AI to perform constant user authentication using behavioural biometrics. Industry players should prioritise machine learning algorithms for its advantage to strengthen security intelligence. Furthermore, it is projected that this market would grow in the following years in response to SMEs' growing desire for AI-based cybersecurity solutions.
US Artificial Intelligence In Security Market is poised to grow at a sustainable CAGR for the next forecast year.
Market snapshot - 2023-2030
Global Market Size
Largest Segment
Network Security
Fastest Growth
Endpoint Security
Growth Rate
24.3% CAGR
Global Artificial Intelligence in Security Market, 2021-2028 ($ Bn)
Country Share for North America Region- 2021 (%)
Global Artificial Intelligence in Security Market Size By Security Type, 2021-2028 ($ Bn)
Global Artificial Intelligence in Security Market Size By Security Type, 2021-2028 (%)
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Global Artificial Intelligence In Security Market Segmental Analysis
Artificial Intelligence in Security Market is segmented based on the security type, deployment, offering, service, technology, application, vertical, and region. Based on type, the market is segmented into network security, endpoint security, application security and cloud security. Based on deployment, artificial intelligence in security market is bifurcated into on-premise and cloud.
According to offering the market is sub-segmented into hardware, software and services. According to service, market is bifurcated into professional and managed. On the basis of technology, market is segmented as machine learning, natural language processing (NLP) and context-aware computing. According to application, the market is categorized into identity and access management, risk and compliance management, data loss prevention, unified threat management, fraud detection/anti-fraud, threat intelligence and others. According to verticals the market is sub segmented into BFSI, retail, Government & Defense, manufacturing enterprise, healthcare, automotive & transportation and others. Based on Region, the global market is categorized into North America, Europe, Asia-Pacific, Latin America, and MEA.
Artificial Intelligence In Security Market Analysis by Security type
The network security segment accounted for the highest market share in 2022. This can be attributed to the increasing importance of artificial intelligence and machine learning algorithms. To defend against and stop cyberattacks, businesses are employing cybersecurity. To increase business efficiency and operations scalability, hardware might be a key growth facilitator. The zero-trust paradigm, which requires all users to be authorised and validated has become increasingly popular.
The popularity of AI-based endpoint security within enterprises for continuous monitoring, risk-based application management, and automated classification is expected to drive significant growth during the projected period. Endpoint security solutions frequently generate and allow list based on well-known software and a refuse list based on well-known malware automatically. Endpoint attacks are becoming more common, therefore behavioural analytics and AI-based real-time authentication may be pursued as the foundation of security solutions. Additionally, the rapid adoption of connected devices has compelled businesses to use AI-powered endpoint security technology to identify suspicious activity and information that may be at danger.
Artificial Intelligence In Security Market Analysis by Technology
The segment of machine learning held the largest market share in 2022. With deep learning becoming increasingly prevalent across end-use sectors, machine learning technology will experience rapid growth. Leading businesses have been employing machine learning for threat identification and email filtering, including Google and IBM. Businesses are leveraging machine intelligence and deep learning to improve cybersecurity procedures. ML systems have grown in prominence as a way to automate monitoring, detect deviation, and sort through the enormous amount of data generated by security technologies.
During the anticipated period, the natural language processing (NLP) segment in the global AI in cybersecurity market may experience significant expansion. Growing popularity of sentiment analysis, natural language inference, text summarization, and question-answering systems are eminent factors for the growth. Additionally, NLP is now frequently used to find data, framework, and standard overlaps as well as security infrastructure weaknesses. Over the coming years, automation and customisation in NLP could advance the field and broaden AI applications in cybersecurity.
Global Artificial Intelligence in Security Market By Security Type, 2021 (%), 2021 (%)
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Global Artificial Intelligence In Security Market Regional Insights
North America held the largest market share in 2022 owing to the exponential growth of IoT, 5G, and Wi-Fi 6 along with an increase in network-connected devices. 5G network expansion is driven by businesses in the automotive, healthcare, government, energy, and mining industries. In 2022, the US held the greatest market share in North America. North America is a pioneer in the adoption of cutting-edge technology like AI because banks, government organisations, and financial institutions. The US encounters difficulties as a result of cyber threats. In order to manage the cybersecurity landscape, cutting-edge technologies are used. Additionally, a number of cybersecurity providers have offices in the US, which has helped the AI in cybersecurity industry to flourish in North America.
Europe is expected to witness a substantial growth rate during the forecast period. This can be attributed to the strong government regulations and an increase in cybercrime cases in the government, healthcare, automobile, IT & telecommunication industries. Stakeholders have anticipated an increased spending by United Kingdom, France, Germany, and Russia to identify threats and unusual activities on their networks, which has prompted the cybersecurity solution providers to expand their AI portfolios.
Global Artificial Intelligence in Security Market By Geography, 2021-2028, 2023-2030
- Largest
- Fastest
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Global Artificial Intelligence In Security Market Dynamics
Artificial Intelligence In Security Market Driver
Internet of Things (IoT) And Rise in Cybercrimes Are Likely To Influence the Market Growth
- Internet of Things (IoT), rise in cyberattacks, dearth of cybersecurity experts, and growing cyberterrorism are the main reasons propelling this market's expansion.
- The widespread use of Wi-Fi networks that are extremely susceptible to security threats with rigorous guidelines for data protection, and an increase in mobile malware attacks are all factors responsible for the emergence of artificial intelligence in security.
- Businesses are growing more vulnerable as a result of increase in connected enterprises, devices, and applications because they are connected to several unrelated endpoints.
Artificial Intelligence In Security Market Restraint
- The market growth is anticipated to be hindered to some extent by fast-rising corporate executive cyber risks, constrained company security resources, and inability of AI to counter advanced and zero-day attacks. Additionally, the shortage of knowledgeable AI specialists and the lack of awareness are preventing the industry from expanding throughout the projected period.
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Global Artificial Intelligence In Security Market Competitive Landscape
Global Artificial Intelligence in Security Market is fragmented and very competitive due to an increase in cyberattacks throughout time, a lot of new businesses are emerging with cutting-edge technologies. To maintain a competitive edge and increase their market position in the worldwide artificial intelligence in security market, leading companies are increasingly focusing on implementing tactics such as adopting new technology, product developments, mergers and acquisitions, joint venture, alliances, and partnerships. Major players in market include IBM Corporation, Cisco Systems, Inc, Tech Mahindra Limited, Micron Technology, Inc, Fortinet, Inc. In order to provide industries with the most effective and economical solutions, the major market players are also continually concentrating on R&D.
Artificial Intelligence in Security Market Top Player's Company Profiles
- IBM Corporation
- Amazon Web Services
- Microsoft Corporation
- Palo Alto Networks
- Cisco Systems, Inc.
- Fortinet, Inc.
- Check Point Software Technologies Ltd.
- Symantec Corporation
- Trend Micro, Inc.
- RSA Security LLC
- FireEye, Inc.
- Splunk Inc.
- Darktrace Ltd.
- Cylance Inc.
- Vectra AI, Inc.
- F-Secure Corporation
- LogRhythm, Inc.
- Acalvio Technologies, Inc.
- Alert Logic, Inc.
- Cyberbit Ltd.
Artificial Intelligence in Security Market Recent Developments
- In October 2022, Check Point Software Technologies Ltd. expanded the capabilities of its quantum cyber security platform by releasing Check Point Quantum Titan,. In order to provide improved threat protection against DNS exploits, phishing, and autonomous internet of things (IoT) security, Quantum Titan introduced three new software blades. These blades leverage artificial intelligence (AI) and deep learning methods.
- In September 2022, a $1.7 million round of initial funding, led by Pi Ventures, was acquired by Silence Laboratories, a Singapore-based cybersecurity business with a web3 emphasis that is developing libraries for MPC and Proof-based decentralized Security-as-a-Service (DSaaS). They have developed a core technology that combines multi-party computation (MPC), sensing, and intelligent signal processing in a novel way to provide developer-focused decentralised and high-grade security for digital assets with key management, distributed signature, and authorization functionalities.
Global Artificial Intelligence In Security Key Market Trends
- Emergence of AI TRiSM: AI TRiSM is a framework that promotes the governance of AI models and their fairness, dependability, robustness, effectiveness, and privacy. For the benefit of its clients and the enterprise, it contains solutions, methodologies, and procedures for model interpretability and explainability, privacy, model operations, and adversarial attack resistance.
- Need for a Robust Framework: AI is expanding, but even before safeguards are required, it is crucial to put practises in place that guarantee trust, transparency, and consumer protection. To ensure model dependability, trustworthiness, privacy, and security, IT leaders are putting new AI TRiSM capabilities to use.
Global Artificial Intelligence In Security 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 utilizing Primary Exploratory Research backed by the robust Secondary Desk research.
According to the Global Artificial Intelligence in Security Market analysis report, the demand for security solutions is increasing as a result of the rise in online transactions, a surge in NEFT and RTGS, and mobile transactions. As a result, the banking industry has witnessed a considerable increase in the adoption of security solutions based on artificial intelligence, which has aided in the improvement of financial services. This is likely to contribute to the creation of a significant market opportunity for artificial intelligence in the security market over the coming years.
| Report Metric | Details |
|---|---|
| Market size value in 2021 | USD 13.28 billion |
| Market size value in 2030 | USD 16.48 billion |
| Growth Rate | 24.3% |
| Base year | 2021 |
| Forecast period | 2023-2030 |
| 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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| Customization scope | Free report customization with purchase. Customization includes:-
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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 Global Artificial Intelligence In Security 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 Global Artificial Intelligence In Security 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 Global Artificial Intelligence In Security 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 Global Artificial Intelligence In Security 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 Global Artificial Intelligence In Security Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Global Artificial Intelligence In Security 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.
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