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The market for AI in cybersecurity is seeing huge development and advancement, reshaping the scene of computerized guard. As associations wrestle with progressively refined digital dangers, the mix of man-made intelligence advancements has become crucial in strengthening their security pose. One unmistakable pattern is the flood in artificial intelligence driven danger discovery and anticipation abilities. AI calculations examine immense datasets to distinguish designs demonstrative of potential security breaks, empowering continuous reaction and moderation.
Additionally, the reception of AI in cybersecurity is picking up speed. Conventional safety efforts frequently miss the mark in distinguishing unpretentious deviations from typical organization conduct, making it trying to recognize progressed dangers. Computer based intelligence succeeds in perceiving irregularities by gaining from verifiable information, considering the early location of dubious exercises that could somehow slip through the cracks. This pattern is especially critical as digital dangers keep on advancing in intricacy and covertness.
Another significant market pattern is the ascent of computer-based intelligence controlled security investigation. Associations are utilizing progressed examination apparatuses to process and investigate massive volumes of safety information. AI makes it easier to find new threats and vulnerabilities by automating the analysis of logs, events, and user behaviour. This improves the proficiency of network safety groups as well as empowers them to proactively address possible dangers before they raise.
Moreover, the mix of artificial intelligence into endpoint security arrangements is turning out to be progressively common. Endpoint gadgets, including PCs, cell phones, and IoT gadgets, are practical objectives for digital assaults. By providing real-time threat detection and response, AI-driven endpoint protection surpasses conventional antivirus solutions. Conduct investigation and AI calculations empower these answers for adjust to developing dangers and give a stronger protection against malware and other vindictive exercises.
Moreover, the utilization of man-made intelligence driven computerization in occurrence reaction is filling quickly on the lookout. To diminish the impacts of safety breaks, it is fundamental to answer rapidly and really to digital occurrences. Artificial intelligence mechanizes routine undertakings in episode reaction, permitting network protection groups to zero in on additional mind boggling and key parts of danger moderation. This pattern speeds up reaction times as well as improves the general strength of associations against digital dangers.
AI provides intelligent authentication and authorization mechanisms for businesses that are struggling to manage user access across multiple systems. By ceaselessly examining client conduct, man-made intelligence driven IAM arrangements can distinguish and answer inconsistencies, relieving the dangers related with unapproved access and personality related dangers.
AI in Cybersecurity Market Highlights:
AI in Cybersecurity Market Overview
AI in Cybersecurity Market Size was valued at USD 15.5 Billion in 2022. The AI in Cybersecurity market is projected to grow from USD 19.0 Billion in 2023 to USD 96.3 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 22.50% during the forecast period (2023 - 2032). An exponential surge in cyberattacks on high-tech firms, the military, and government institutions is being accompanied by an increase in AI technologies like natural language processing and machine learning, are the key market drivers enhancing the market growth.
Figure 1: AI in Cybersecurity Market Size, 2023-2032 (USD Billion)
Offering: Secondary Research, Primary Research, MRFR Database and Analyst Review
AI in Cybersecurity Market Trends
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Increasing AI technologies, such as natural language processing and machine learning is driving the market growth
More and more AI-based technologies, such machine learning and natural language processing, are being used to protect against, identify, and respond to threats. Furthermore, an exponential increase in cyberattacks on defense, government, and high-tech firms has highlighted the demand for sophisticated artificial intelligence (AI) cybersecurity solutions. Cyber AI is now in demand because it can provide a proactive defense 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 to take advantage of AI's power to strengthen security intelligence. Factors boosting market expansion include the rise in privacy concerns, the significance of AI-based cybersecurity solutions in the banking sector, and the frequency and complexity of cyberthreats. Additionally, it is expected that over the coming few years, this market will grow in response to SMEs' rising need for AI-based cybersecurity solutions.
Artificial intelligence is used in cybersecurity technology to quickly evaluate systems and identify network and computer system vulnerabilities. Additionally, it makes it simple to control vulnerabilities and promptly safeguard corporate systems, freeing up businesses to focus on critical security responsibilities. Artificial intelligence in cybersecurity ensures the security of technological advancements and crucial infrastructure; as a result, businesses are significantly increasing their AI cybersecurity budgets, supporting business approaches with cybersecurity plans, and developing cyber alertness programmes for customers and staff. Thus, driving the AI in Cybersecurity market revenue.
AI in Cybersecurity Market Segment Insights
AI in Cybersecurity Type Insights
The AI in Cybersecurity Market segmentation, based on type, includes network security, endpoint security, application security, and cloud security. Network security segment dominated the global market in 2022. Artificial intelligence and machine learning algorithms are increasingly used, which accounts for a sizable portion of the market share. Cybersecurity is being used by businesses to protect against and halt cyberattacks.
AI in Cybersecurity Offering Insights
The AI in Cybersecurity Market segmentation, based on offering, includes hardware, software, and services. The services segment dominated the global market in 2022. The expansion of the worldwide AI in cybersecurity market is anticipated to be significantly aided by the services sector. Machine learning techniques, sensor data, voice, and vision APIs will be in high demand, driving the market forward.
AI in Cybersecurity Technology Insights
The AI in Cybersecurity Market segmentation, based on technology, includes machine learning, natural language processing (NLP), and context-aware computing. Machine Learning segment dominated the global market 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 detection and email filtering, including Google and IBM.
AI in Cybersecurity Vertical Insights
The AI in Cybersecurity Market segmentation, based on vertical, includes BFSI, retail, government & defense, manufacturing, enterprise, healthcare, automotive & transportation, and others. Enterprise segment dominated the AI in Cybersecurity Market in 2022. However, in order to stop data leaks, fend off cyberattacks, and improve security, the BFSI sector may grow to be a significant market for cyber AI. The explosion of ideas and technical developments has caused a sea change in how individuals utilise crowdfunding to make payments, make purchases, apply for loans, and withdraw money.
AI in Cybersecurity Application Insights
The AI in Cybersecurity Market segmentation, based on application, includes identity and access management, risk and compliance management, data loss prevention, unified threat management, fraud detection/anti-fraud, threat intelligence, and others. Fraud detection/anti-fraud segment dominated the AI in Cybersecurity Market in 2022. The use of AI in cybersecurity will be encouraged for fraud prevention and anti-fraud measures. In light of the rise in fraud cases, machine learning has become a practical tool for enhancing the capacity of governments and other end-users to prevent fraudulent actions.
Figure 1: AI in Cybersecurity Market, by Application, 2022 & 2032 (USD Billion)
Offering: Secondary Research, Primary Research, MRFR Database and Analyst Review
AI in Cybersecurity Regional Insights
By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North America AI in Cybersecurity Market dominated this market in 2022 (45.80%). The increase in network-connected devices brought on by the adoption of IoT, 5G, and Wi-Fi 6 is primarily blamed for the rise. The expansion of the 5G network has been driven by businesses in the automotive, healthcare, government, energy, and mining industries, which might be a point of access for hackers. Further, the U.S. AI in Cybersecurity market held the largest market share, and the Canada AI in Cybersecurity market was the fastest growing market in the North America region.
Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 2: AI IN CYBERSECURITY MARKET SHARE BY REGION 2022 (USD Billion)
Offering: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe AI in Cybersecurity market accounted for the healthy market share in 2022. Strong government regulations and an increase in cybercrime cases in the government, healthcare, automotive, and IT & telecommunications sectors are to blame for this. For instance, the U.K. said in November 2020 that it will invest £16.5 billion (USD 21.8 billion) over four years in linked devices with AI and lots of sensors. Further, the German AI in Cybersecurity market held the largest market share, and the U.K AI in Cybersecurity market was the fastest growing market in the European region
The Asia Pacific AI in Cybersecurity market is expected to register significant growth from 2023 to 2032. The demand for connected devices is growing, organisations are becoming more aware of cybersecurity, the economy is developing quickly, cutting-edge technologies like IoT, 5G, and cloud computing are widely used, and there are growing privacy and security concerns in the region. Moreover, China’s AI in Cybersecurity market held the largest market share, and the Indian AI in Cybersecurity market was the fastest growing market in the Asia-Pacific region.
AI in Cybersecurity Key Market Players & Competitive Insights
Leading market players are investing heavily in research and development in order to expand their product lines, which will help the AI in Cybersecurity market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, AI in Cybersecurity industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global AI in Cybersecurity industry to benefit clients and increase the market sector. In recent years, the AI in Cybersecurity industry has offered some of the most significant advantages to medicine. Major players in the AI in Cybersecurity market, including 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., and Symantec Corporation, are attempting to increase market demand by investing in research and development operations.
NVIDIA Corp. (NVIDIA) is a company that designs and develops system-on-a-chip, central computing, and graphics processing units. The business sells its goods in the gaming, data centre, automotive, and professional visualisation markets. Additionally, it provides answers for design and visualisation, edge computing, high-performance computing, self-driving cars, data centres, and artificial intelligence and data science. NVIDIA developed a zero-trust cybersecurity platform in November 2021, allowing the industry's players to support security and protect client data centres in real-time.
Software development, licencing, and support are all services provided by Microsoft Corp. (Microsoft). The company offers many different kinds of software, including operating systems, server applications, cross-device productivity tools, tools for creating business solutions, tools for managing desktop computers and servers, games, and courses leading to professional certification. Additionally, it creates, produces, and markets hardware items like PCs, tablets, game consoles, and other sophisticated gadgets. Microsoft announced the general release of Microsoft Defender Experts for Hunting in August 2022 to actively hunt threats.
Key Companies in the AI in Cybersecurity market include
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Xilinx Inc.
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Micron Technology Inc.
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Amazon Web Services, Inc.
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IBM Corporation
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Microsoft Corporation
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FireEye, Inc.
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Palo Alto Networks, Inc.
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Juniper Networks, Inc.
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Fortinet, Inc.
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Cisco Systems, Inc.
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Check Point Software Technologies Ltd.
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Imperva
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McAfee LLC
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LogRhythm, Inc.
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Sophos Ltd.
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NortonLifeLock Inc.
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Crowdstrike Holdings, Inc.
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Darktrace
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Cylance Inc.
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Vectra AI, Inc.
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ThreatMetrix Inc.
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Securonix Inc.
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Sift Science
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Acalvio Technologies
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SparkCognition Inc.
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Symantec Corporation
AI in Cybersecurity Industry Developments
November 2020: IBM and AMD collaborated to improve their cybersecurity and AI products.
AI in Cybersecurity Market Segmentation
AI in Cybersecurity Type Outlook
- Network Security
- Endpoint Security
- Application Security
- Cloud Security
AI in Cybersecurity Offering Outlook
- Hardware
- Software
- Services
AI in Cybersecurity Technology Outlook
- Machine Learning
- Natural Language Processing (NLP)
- Context-aware Computing
AI in Cybersecurity Vertical Outlook
- BFSI
- Retail
- Government & Defense
- Manufacturing
- Enterprise
- Healthcare
- Automotive & Transportation
- Others
AI in Cybersecurity Application Outlook
- Identity And Access Management
- Risk And Compliance Management
- Data Loss Prevention
- Unified Threat Management
- Fraud Detection/Anti-Fraud
- Threat Intelligence
- Others
AI in Cybersecurity Regional Outlook
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North America
- US
- Canada
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Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
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Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Australia
- Rest of Asia-Pacific
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Rest of the World
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Middle East
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Africa
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Latin America
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