AI in Cybersecurity Market Trends – Growth & Forecast 2022-2032

Artificial Intelligence In Cybersecurity Market Outlook (2022 to 2032)

The global Artificial Intelligence in Cybersecurity Market was valued at around USD 16.5 Billion in 2021. With a projected CAGR of 16.2% for the next ten years, the market is likely to reach a valuation of nearly USD 91.7 Billion by the end of 2032. One of the key factors propelling the market's expansion is the rising need for sophisticated cybersecurity solutions and privacy.

Report Attributes	Details
Global Artificial Intelligence in Cybersecurity Market Size (2021A)	USD 16.5 Billion
Global Artificial Intelligence in Cybersecurity Market Size (2022E)	USD 20.4 Billion
Global Artificial Intelligence in Cybersecurity Market Size (2032F)	USD 91.7 Billion
Global Market Growth Rate (2022 to 2032)	16.2% CAGR
United States Artificial Intelligence in Cybersecurity Market Growth Rate (2022 to 2032)	16.1% CAGR
Key Companies Covered	NVIDIA Corporation; Intel Corporation; Xilinx Inc.; Samsung Electronics Co Ltd.; Micron Technology Inc.

Future Market Insights’ analysis reveals that in 2022 revenue through Artificial Intelligence in Cybersecurity Market is estimated at USD 20.4 Billion. Worldwide, Vendors in the AI Cybersecurity market have new growth prospects as a result of SMEs' increasing adoption of AI-based cybersecurity solutions.

With real-time applications and great dependability, adopting AI in cybersecurity has many advantages, but there are significant hurdles for the industry due to misconceptions, a lack of understanding, and vulnerabilities with IoT devices.

Sales Analysis Of Artificial Intelligence In Cybersecurity Market From 2015 to 2021 Vs Market Outlook For 2022 to 2032

The global market for Artificial Intelligence in Cybersecurity Market expanded at a CAGR of 27.7% over the last four years (2015 to 2021). Many security analysts claim that in the second quarter of 2020, there were an average of 419 malware threats per minute, a rise of 44 per minute.

Every day, there are over 590 Thousand new, unique malware files, according to Interpol. In a similar vein, the 2020 Remote Workforce Cybersecurity Report found that 34% of respondents had experienced a breach as a result of the move to telework, with nearly two-thirds of respondents reporting an increase in breach attempts.

The United States will continue to be the largest user of Artificial Intelligence in Cybersecurity services throughout the analysis period accounting for over USD 16.1 Billion absolute dollar opportunity in the coming 10-year period.

What Are The Major Opportunities In The Artificial Intelligence In Cybersecurity Market?

Today's industries rely significantly on endpoint devices as they help organizations run as efficiently as possible and stay current with technology so they can compete. Unauthorized access, data breaches, and cyber threats are a few of the new issues that have emerged as a result of the spread of these devices.

The demand for artificial intelligence in cybersecurity has grown as people feel more secure. The introduction of digital technologies like the Internet of Things has accelerated the pace of industry verticals' digital transformation.

Cybercriminals or hackers can now attack gadgets like webcams, smart TVs, routers, printers, and even smart homes due to the development of linked devices in industry verticals including healthcare organizations and BFSI. According to Ponemon Institute, vital data and customer information were exposed by endpoint assaults in 68% of firms in 2019.

The rise in cyberattacks and data breaches has compelled businesses to use more edge-based, decentralized AI cybersecurity solutions, which is fueling the market for this technology. Artificial intelligence is thus anticipated to expand in the cybersecurity industry as a result of increased investment and growing awareness of the need for AI in cybersecurity solutions.

What Are The Restraints To The Growth Of Artificial Intelligence In The Cybersecurity Market?

Numerous studies have shown that there is an imbalance between the demand for and supply of cybersecurity specialists because of a lack of skill. The demand for knowledgeable and experienced cyber security experts has grown dramatically along with the cyber threat, yet it is difficult to find them.

Leviathan Security Group estimates that 16% of the organizations have professionals that are only partially qualified and that 53% of the organization finds it challenging to obtain competent applicants. The shortage of cyberattacks is caused by the need for skilled professionals and the 2% involvement rate of women in the field of cybersecurity.

Region-Wise Insights

Why North America is projected to Continue being the Nucleus of Artificial Intelligence in the Cybersecurity Market?

The significant market share held by North America can be attributed to the region's concentration of major players as well as a number of new start-ups, the expansion of government initiatives aimed at advancing technologies like artificial intelligence, the widespread use of cloud-based services, the growing sophistication of cyberattacks, and the rise in cyber threats.

For instance, in March 2020, The Japanese Ministry of Defense announced an investment of USD 230.0 Million to develop AI-based technology to counter cyberattacks. Such significant investments would provide the overall market for AI in cyber security a substantial boost in the ensuing years.

North America dominated the artificial intelligence in the cyber security market ecosystem in 2021, accounting for 38.3% of the total revenue.

The presence of key companies like IBM, Cisco Systems Inc., Dell Root 9B, Symantec Carpeted Micro Inc., Check Point Software Technologies Ltd., Herjavec, and Palo Alto Networks, which provide cutting-edge solutions and services to all the sectors in the area, are the key contributing factors to the regional market growth.

Country-Wise Insights

How does the United States maintain its position in the global Artificial Intelligence in Cybersecurity Market?

The United States is expected to account for over USD 31.7 Billion of the global Artificial Intelligence in the Cybersecurity Market by 2032. Artificial Intelligence in Cybersecurity Market growth from 2015 to 2021 was estimated at 27.2% CAGR. The development of AI for the purpose of supporting the manufacturing industry is now being led by the United States.

As PE firms rolled up cutting-edge, interoperable technologies to support platform investments, add-on deals accounted for 29% of transactions in the United States for the year 2021. This indicates that private equity has been active in the area. The market will benefit greatly from such investments.

Category-Wise Insights

Why Software Service is Taking Center Stage in the Global Artificial Intelligence in Cybersecurity Market?

The growth through the software segment expanded at a CAGR of 27.4% over the last six years (2015 to 2021). Businesses employ AI to detect malware, fraudulent payments, hacked computers, and network systems, and to automate cyber defense against spam and phishing. Another aspect of AI's development that contributes to the expansion of the range of harmful actors is the cost-effectivity nexus.

Competitive Landscape

At present, Artificial Intelligence in Cybersecurity providing companies are largely setting up Joint ventures, aiming for acquisition/mergers and huge investments.

The key companies operating in the Artificial Intelligence in Cybersecurity Market include 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.

Some of the recent developments by key providers of Artificial Intelligence in the Cybersecurity Market are as follows:

• In March 2019, The Jetson Nano, a machine that can construct countless intelligent systems, was unveiled by NVIDIA. Modern AI applications may be run on the compact but potent CUDA-X AI computer, which offers 472 GFLOPS of computational capability while using as low as 5 watts of power.
• In Feb 2019, Cylance unveiled the Cylance native AI platform, which provides customers all over the world with automated threat detection, prevention, forensic investigation, and response capabilities. It is done by integrating deep-learning Al algorithms into a single, agile agent for comprehensive attack surface protection.
• In Feb 2019, BlackBerry Limited acquired Cylance, a privately held artificial intelligence and cybersecurity firm. Post-acquisition, BlackBerry's end-to-end secure communications portfolio includes Cylance's machine learning and artificial intelligence capabilities. Notably, its embeddable AI technology expedites BlackBerry Spark's development as the secure communications platform for the Internet of Things (IoT) in the years to come.
• In March 2020, Panda Security, a provider of endpoint security with offices in Madrid, entered into a binding contract to be acquired by network security and intelligence company WatchGuard Technologies Inc. The network offerings of the previous organization will increase as a result of this deal.
• In January 2020, Shape Security Inc., a provider of AI-powered cyber security, fraud, and abuse prevention solutions, was successfully acquired by F5 Networks Inc., a provider of application delivery networking services, for USD 1.0 Billion. The acquisition will assist the previous business in achieving its objectives of offering AI-enhanced services to clients for better visibility, management, and orchestration across their applications.
• In March 2020, For USD 420.0 Million in cash, Palo Alto Networks Inc. and CloudGenix Inc., a provider of software-defined wide area networks (WANs), agreed to merge. According to the firm, the purchase will be used to speed up the intelligent onboarding of outlying branches and retail locations into Palo Alto Networks' Prisma Access offering, a Secure Access Secure Edge platform that offers a worldwide cloud network with cloud-delivered protection for all users.
• In Jan 2022, Symantec recently unveiled new data loss prevention features that make it simpler for clients to safeguard sensitive information against malicious apps that steal data and support regulatory compliance. Customers are able to prevent malicious software and bogus apps from leaking critical information by integrating Symantec data loss prevention and endpoint protection.
• In October 2021, Omen Technologies was acquired by Clavister for an enterprise value of USD 1.8 Million. Omen develops an artificial intelligence-based cybersecurity analysis platform that offers system validation, intrusion detection, defect discovery, and predictive maintenance. As part of the arrangement, Clavister will acquire the entirety of Omen's operations and talent, strengthening the company's workforce and enabling it to identify large upsell opportunities for its software and services.
• In November 2021, For an unknown fee, SecureAuth, a pioneer in next-generation identity and access management, acquired Acceptto. Acceptto develops a platform for behavioral modeling and passwordless authentication that can identify dangers before, during, and after authorization. Acceptto's AI-powered continuous authentication supports both customers' hybrid workforces, digital engagement, cloud migration, and Zero-Trust networks as well as SecureAuth's objective of becoming the go-to option for convenient password-less login.

Similarly, recent developments related to companies providing services for Artificial Intelligence in Cybersecurity have been tracked by the team at Future Market Insights, which is available in the full report.

Table of Content

• 1. Executive Summary
• 2. Market Overview
• 3. Market Risks and Trends Assessment
• 4. Market Background
• 5. Key Success Factors
• 6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032
• 7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032
• 8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Offering
  • 8.1. Hardware
    • 8.1.1. Processors
    • 8.1.2. Memory
    • 8.1.3. Network
  • 8.2. Software
    • 8.2.1. AI Solutions
    • 8.2.2. AI Platform
  • 8.3. Service
    • 8.3.1. Deployment & Integration
    • 8.3.2. Support & Maintenance
• 9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Technology
  • 9.1. Machine Learning
  • 9.2. Natural Language Processing
  • 9.3. Context-Aware Computing
• 10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Deployment Type
  • 10.1. Cloud
  • 10.2. On-Premise
• 11. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Security Type
  • 11.1. Network Security
  • 11.2. Endpoint Security
  • 11.3. Application Security
  • 11.4. Cloud Security
• 12. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application
  • 12.1. Identity & Access Management
  • 12.2. Risk & Compliance Management
  • 12.3. Data Loss Prevention
  • 12.4. Unified Threat Management
  • 12.5. Security & Vulnerability Management
  • 12.6. Antivirus/Antimalware
  • 12.7. Fraud Detection/Anti-Fraud
  • 12.8. Intrusion Detection/Prevention System
  • 12.9. Threat Intelligence
  • 12.10. Others (firewall, disaster recovery, DDoS mitigation, web filtering, application whitelisting, and patch management)
• 13. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By End-User
  • 13.1. BFSI
  • 13.2. Retail
  • 13.3. Government & Defense
  • 13.4. Manufacturing
  • 13.5. Infrastructure
  • 13.6. Enterprise
  • 13.7. Healthcare
  • 13.8. Automotive & Transportation
  • 13.9. Others (oil & gas, education, and energy)
• 14. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region
  • 14.1. North America
  • 14.2. Latin America
  • 14.3. Europe
  • 14.4. Asia Pacific
  • 14.5. Middle East and Africa
• 15. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
• 16. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
• 17. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032
• 18. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032
• 19. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032
• 20. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032
• 21. Market Structure Analysis
• 22. Competition Analysis
  • 22.1. NVIDIA Corporation
  • 22.2. Intel Corporation
  • 22.3. Xilinx Inc
  • 22.4. Samsung Electronics Co Ltd
  • 22.5. Micron Technology Inc
  • 22.6. IBM Corporation
  • 22.7. Amazon Web Services Inc
  • 22.8. Darktrace
  • 22.9. Cylance Inc
  • 22.10. Vectra AI Inc
• 23. Assumptions and Acronyms Used
• 24. Research Methodology