The global Artificial Intelligence in Cybersecurity Market was valued at around US$ 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 US$ 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) | US$ 16.5 Billion |
| Global Artificial Intelligence in Cybersecurity Market Size (2022E) | US$ 20.4 Billion |
| Global Artificial Intelligence in Cybersecurity Market Size (2032F) | US$ 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 |
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Future Market Insights’ analysis reveals that in 2022 revenue through Artificial Intelligence in Cybersecurity Market is estimated at US$ 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.
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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 US$ 16.1 Billion absolute dollar opportunity in the coming 10-year period.
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.
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A number of top cybersecurity businesses see this crisis as a new chance to restructure and review their current strategies as well as develop sophisticated product portfolios.
For instance, in 2020, the French company Cybels Analytics created an AI-based cybersecurity platform to identify sophisticated cyber-attacks which are targeting Covid-19-related data centers using big data analytics and powerful artificial intelligence technologies to enable a quicker, sharper, and more thorough detection of threats in real-time.
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.
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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 US$ 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.
The United States is expected to account for over US$ 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.
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.
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:
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.
The global Artificial Intelligence in Cybersecurity Market was valued at US$ 16.5 Billion in 2021.
Artificial Intelligence in Cybersecurity Market is set to witness a growth rate of 16.2% over the forecast period and be valued at US$ 91.7 Billion by 2032.
The Artificial Intelligence in Cybersecurity Market expanded by a CAGR of 27.7% from 2015 through 2021.
The key players in the Artificial Intelligence in Cybersecurity Market are NVIDIA Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics Co Ltd, and Micron Technology Inc.
The United States, United Kingdom, China, Japan, and South Korea are expected to drive the most sales growth in Artificial Intelligence in Cybersecurity Market.
Artificial Intelligence in Cybersecurity Market in China accounts for US$ 6.7 Billion of the global market by end of the forecast year.
The United States has the largest market share of Artificial Intelligence in Cybersecurity Market with US$ 24.6 Billion of absolute Dollar opportunity.
1. Executive Summary | Artificial Intelligence In Cybersecurity Market 1.1. Global Market Outlook 1.2. Summary of Statistics 1.3. Key Market Characteristics & Attributes 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Risks and Trends Assessment 3.1. Risk Assessment 3.1.1. COVID-19 Crisis and Impact on Demand 3.1.2. COVID-19 Impact Benchmark with Previous Crisis 3.1.3. Impact on Market Value (US$ Million) 3.1.4. Assessment by Key Countries 3.1.5. Assessment by Key Market Segments 3.1.6. Action Points and Recommendation for Suppliers 3.2. Key Trends Impacting the Market 3.3. Componentulation and Product Development Trends 4. Market Background 4.1. Market By Country, US$ Million 4.2. Market Opportunity Assessment (US$ Million) 4.2.1. Total Available Market 4.2.2. Serviceable Addressable Market 4.2.3. Serviceable Obtainable Market 4.3. Market Scenario Forecast 4.3.1. Demand in Optimistic Scenario 4.3.2. Demand in Likely Scenario 4.3.3. Demand in Conservative Scenario 4.4. Investment Feasibility Analysis 4.4.1. Investment in Established Markets 4.4.1.1. In Short Term 4.4.1.2. In Long Term 4.4.2. Investment in Emerging Markets 4.4.2.1. In Short Term 4.4.2.2. In Long Term 4.5. Forecast Factors - Relevance & Impact 4.5.1. Top Companies Historical Growth 4.5.2. Global Market Growth 4.5.3. Adoption Rate, by Country 4.6. Market Dynamics 4.6.1. Market Driving Factors and Impact Assessment 4.6.2. Prominent Market Challenges and Impact Assessment 4.6.3. Market Opportunities 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment 5. Key Success Factors 5.1. Manufacturers’ Focus on Low Penetration High Growth Markets 5.2. Banking on with Segments High Incremental Opportunity 5.3. Peer Benchmarking 6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032 6.1. Historical Market Analysis, 2015 to 2021 6.2. Current and Future Market Projections, 2022 to 2032 6.3. Y-o-Y Growth Trend Analysis 7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032 7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021 7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute Opportunity Analysis 8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Offering 8.1. Introduction / Key Findings 8.2. Historical Market Value (US$ Million) and Analysis By Offering, 2015 to 2021 8.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Offering, 2022 to 2032 8.3.1. Hardware 8.3.1.1. Processors 8.3.1.2. Memory 8.3.1.3. Network 8.3.2. Software 8.3.2.1. AI Solutions 8.3.2.2. AI Platform 8.3.3. Service 8.3.3.1. Deployment & Integration 8.3.3.2. Support & Maintenance 9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Technology 9.1. Introduction / Key Findings 9.2. Historical Market Value (US$ Million) and Analysis By Technology, 2015 to 2021 9.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Technology, 2022 to 2032 9.3.1. Machine Learning 9.3.2. Natural Language Processing 9.3.3. Context-Aware Computing 9.4. Market Attractiveness Analysis By Technology 10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Deployment Type 10.1. Introduction / Key Findings 10.2. Historical Market Value (US$ Million) and Analysis By Deployment Type, 2015 to 2021 10.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Deployment Type, 2022 to 2032 10.3.1. Cloud 10.3.2. On-Premise 10.4. Market Attractiveness Analysis By Deployment Type 11. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Security Type 11.1. Introduction / Key Findings 11.2. Historical Market Value (US$ Million) and Analysis By Security Type, 2015 to 2021 11.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Security Type, 2022 to 2032 11.3.1. Network Security 11.3.2. Endpoint Security 11.3.3. Application Security 11.3.4. Cloud Security 11.4. Market Attractiveness Analysis By Security Type 12. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application 12.1. Introduction / Key Findings 12.2. Historical Market Value (US$ Million) and Analysis By Application, 2015 to 2021 12.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Application, 2022 to 2032 12.3.1. Identity & Access Management 12.3.2. Risk & Compliance Management 12.3.3. Data Loss Prevention 12.3.4. Unified Threat Management 12.3.5. Security & Vulnerability Management 12.3.6. Antivirus/Antimalware 12.3.7. Fraud Detection/Anti-Fraud 12.3.8. Intrusion Detection/Prevention System 12.3.9. Threat Intelligence 12.3.10. Others (firewall, disaster recovery, DDoS mitigation, web filtering, application whitelisting, and patch management) 12.4. Market Attractiveness Analysis By Application 13. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By End-User 13.1. Introduction 13.2. Historical Market Value (US$ Million) and Analysis By Region, 2015 to 2021 13.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032 13.3.1. BFSI 13.3.2. Retail 13.3.3. Government & Defense 13.3.4. Manufacturing 13.3.5. Infrastructure 13.3.6. Enterprise 13.3.7. Healthcare 13.3.8. Automotive & Transportation 13.3.9. Others (oil & gas, education, and energy) 13.4. Market Attractiveness Analysis By Region 14. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region 14.1. Introduction 14.2. Historical Market Value (US$ Million) and Analysis By Region, 2015 to 2021 14.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032 14.3.1. North America 14.3.2. Latin America 14.3.3. Europe 14.3.4. Asia Pacific 14.3.5. Middle East and Africa 14.4. Market Attractiveness Analysis By Region 15. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 15.4.1. By Country 15.4.1.1. United States of America 15.4.1.2. Canada 15.4.2. By Deployment Type 15.4.3. By Offering 15.4.4. By Technology 15.4.5. By Security Type 15.4.6. By Application 15.4.7. By End-User 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Deployment Type 15.5.3. By Offering 15.5.4. By Technology 15.5.5. By Security Type 15.5.6. By Application 15.5.7. By End-User 16. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 16.1. Introduction 16.2. Pricing Analysis 16.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 16.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 16.4.1. By Country 16.4.1.1. Brazil 16.4.1.2. Mexico 16.4.1.3. Rest of Latin America 16.4.2. By Deployment Type 16.4.3. By Offering 16.4.4. By Technology 16.4.5. By Security Type 16.4.6. By Application 16.4.7. By End-User 16.5. Market Attractiveness Analysis 16.5.1. By Country 16.5.2. By Deployment Type 16.5.3. By Offering 16.5.4. By Technology 16.5.5. By Security Type 16.5.6. By Application 16.5.7. By End-User 17. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032 17.1. Introduction 17.2. Pricing Analysis 17.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 17.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 17.4.1. By Country 17.4.1.1. Germany 17.4.1.2. France 17.4.1.3. United Kingdom 17.4.1.4. Italy 17.4.1.5. Benelux 17.4.1.6. Russia 17.4.1.7. Rest of Europe 17.4.2. By Deployment Type 17.4.3. By Offering 17.4.4. By Technology 17.4.5. By Security Type 17.4.6. By Application 17.4.7. By End-User 17.5. Market Attractiveness Analysis 17.5.1. By Country 17.5.2. By Deployment Type 17.5.3. By Offering 17.5.4. By Technology 17.5.5. By Security Type 17.5.6. By Application 17.5.7. By End-User 18. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032 18.1. Introduction 18.2. Pricing Analysis 18.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 18.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 18.4.1. By Country 18.4.1.1. China 18.4.1.2. Japan 18.4.1.3. South Korea 18.4.1.4. Rest of Asia Pacific 18.4.2. By Deployment Type 18.4.3. By Offering 18.4.4. By Technology 18.4.5. By Security Type 18.4.6. By Application 18.4.7. By End-User 18.5. Market Attractiveness Analysis 18.5.1. By Country 18.5.2. By Deployment Type 18.5.3. By Offering 18.5.4. By Technology 18.5.5. By Security Type 18.5.6. By Application 18.5.7. By End-User 19. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032 19.1. Introduction 19.2. Pricing Analysis 19.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 19.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 19.4.1. By Country 19.4.1.1. GCC Countries 19.4.1.2. South Africa 19.4.1.3. Turkey 19.4.1.4. Rest of Middle East and Africa 19.4.2. By Deployment Type 19.4.3. By Offering 19.4.4. By Technology 19.4.5. By Security Type 19.4.6. By Application 19.4.7. By End-User 19.5. Market Attractiveness Analysis 19.5.1. By Country 19.5.2. By Deployment Type 19.5.3. By Offering 19.5.4. By Technology 19.5.5. By Security Type 19.5.6. By Application 19.5.7. By End-User 20. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032 20.1. Introduction 20.1.1. Market Value Proportion Analysis, By Key Countries 20.1.2. Global Vs. Country Growth Comparison 20.2. US Market Analysis 20.2.1. Value Proportion Analysis by Market Taxonomy 20.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.2.2.1. By Deployment Type 20.2.2.2. By Offering 20.2.2.3. By Technology 20.2.2.4. By Security Type 20.2.2.5. By Application 20.2.2.6. By End-User 20.3. Canada Market Analysis 20.3.1. Value Proportion Analysis by Market Taxonomy 20.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.3.2.1. By Deployment Type 20.3.2.2. By Offering 20.3.2.3. By Technology 20.3.2.4. By Security Type 20.3.2.5. By Application 20.3.2.6. By End-User 20.4. Mexico Market Analysis 20.4.1. Value Proportion Analysis by Market Taxonomy 20.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.4.2.1. By Deployment Type 20.4.2.2. By Offering 20.4.2.3. By Technology 20.4.2.4. By Security Type 20.4.2.5. By Application 20.4.2.6. By End-User 20.5. Brazil Market Analysis 20.5.1. Value Proportion Analysis by Market Taxonomy 20.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.5.2.1. By Deployment Type 20.5.2.2. By Offering 20.5.2.3. By Technology 20.5.2.4. By Security Type 20.5.2.5. By Application 20.5.2.6. By End-User 20.6. Germany Market Analysis 20.6.1. Value Proportion Analysis by Market Taxonomy 20.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.6.2.1. By Deployment Type 20.6.2.2. By Offering 20.6.2.3. By Technology 20.6.2.4. By Security Type 20.6.2.5. By Application 20.6.2.6. By End-User 20.7. France Market Analysis 20.7.1. Value Proportion Analysis by Market Taxonomy 20.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.7.2.1. By Deployment Type 20.7.2.2. By Offering 20.7.2.3. By Technology 20.7.2.4. By Security Type 20.7.2.5. By Application 20.7.2.6. By End-User 20.8. Italy Market Analysis 20.8.1. Value Proportion Analysis by Market Taxonomy 20.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.8.2.1. By Deployment Type 20.8.2.2. By Offering 20.8.2.3. By Technology 20.8.2.4. By Security Type 20.8.2.5. By Application 20.8.2.6. By End-User 20.9. Russia Market Analysis 20.9.1. Value Proportion Analysis by Market Taxonomy 20.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.9.2.1. By Deployment Type 20.9.2.2. By Offering 20.9.2.3. By Technology 20.9.2.4. By Security Type 20.9.2.5. By Application 20.9.2.6. By End-User 20.10. UK Market Analysis 20.10.1. Value Proportion Analysis by Market Taxonomy 20.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.10.2.1. By Deployment Type 20.10.2.2. By Offering 20.10.2.3. By Technology 20.10.2.4. By Security Type 20.10.2.5. By Application 20.10.2.6. By End-User 20.11. Benelux Market Analysis 20.11.1. Value Proportion Analysis by Market Taxonomy 20.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.11.2.1. By Deployment Type 20.11.2.2. By Offering 20.11.2.3. By Technology 20.11.2.4. By Security Type 20.11.2.5. By Application 20.11.2.6. By End-User 20.12. China Market Analysis 20.12.1. Value Proportion Analysis by Market Taxonomy 20.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.12.2.1. By Deployment Type 20.12.2.2. By Offering 20.12.2.3. By Technology 20.12.2.4. By Security Type 20.12.2.5. By Application 20.12.2.6. By End-User 20.13. Japan Market Analysis 20.13.1. Value Proportion Analysis by Market Taxonomy 20.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.13.2.1. By Deployment Type 20.13.2.2. By Offering 20.13.2.3. By Technology 20.13.2.4. By Security Type 20.13.2.5. By Application 20.13.2.6. By End-User 20.14. South Korea Market Analysis 20.14.1. Value Proportion Analysis by Market Taxonomy 20.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.14.2.1. By Deployment Type 20.14.2.2. By Offering 20.14.2.3. By Technology 20.14.2.4. By Security Type 20.14.2.5. By Application 20.14.2.6. By End-User 20.15. GCC Countries Market Analysis 20.15.1. Value Proportion Analysis by Market Taxonomy 20.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.15.2.1. By Deployment Type 20.15.2.2. By Offering 20.15.2.3. By Technology 20.15.2.4. By Security Type 20.15.2.5. By Application 20.15.2.6. By End-User 20.16. South Africa Market Analysis 20.16.1. Value Proportion Analysis by Market Taxonomy 20.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.16.2.1. By Deployment Type 20.16.2.2. By Offering 20.16.2.3. By Technology 20.16.2.4. By Security Type 20.16.2.5. By Application 20.16.2.6. By End-User 20.17. Turkey Market Analysis 20.17.1. Value Proportion Analysis by Market Taxonomy 20.17.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 20.17.2.1. By Deployment Type 20.17.2.2. By Offering 20.17.2.3. By Technology 20.17.2.4. By Security Type 20.17.2.5. By Application 20.17.2.6. By End-User 20.17.3. Competition Landscape and Player Concentration in the Country 21. Market Structure Analysis 21.1. Market Analysis by Tier of Companies 21.2. Market Concentration 21.3. Market Share Analysis of Top Players 21.4. Market Presence Analysis 21.4.1. By Regional Footprint of Players 21.4.2. Product Footprint by Players 22. Competition Analysis 22.1. Competition Dashboard 22.2. Competition Benchmarking 22.3. Competition Deep Dive 22.3.1. NVIDIA Corporation 22.3.1.1. Overview 22.3.1.2. Product Portfolio 22.3.1.3. Sales Footprint 22.3.1.4. Strategy Overview 22.3.2. Intel Corporation 22.3.2.1. Overview 22.3.2.2. Product Portfolio 22.3.2.3. Sales Footprint 22.3.2.4. Strategy Overview 22.3.3. Xilinx Inc 22.3.3.1. Overview 22.3.3.2. Product Portfolio 22.3.3.3. Sales Footprint 22.3.3.4. Strategy Overview 22.3.4. Samsung Electronics Co Ltd 22.3.4.1. Overview 22.3.4.2. Product Portfolio 22.3.4.3. Sales Footprint 22.3.4.4. Strategy Overview 22.3.5. Micron Technology Inc 22.3.5.1. Overview 22.3.5.2. Product Portfolio 22.3.5.3. Sales Footprint 22.3.5.4. Strategy Overview 22.3.6. IBM Corporation 22.3.6.1. Overview 22.3.6.2. Product Portfolio 22.3.6.3. Sales Footprint 22.3.6.4. Strategy Overview 22.3.7. Amazon Web Services Inc 22.3.7.1. Overview 22.3.7.2. Product Portfolio 22.3.7.3. Sales Footprint 22.3.7.4. Strategy Overview 22.3.8. Darktrace 22.3.8.1. Overview 22.3.8.2. Product Portfolio 22.3.8.3. Sales Footprint 22.3.8.4. Strategy Overview 22.3.9. Cylance Inc 22.3.9.1. Overview 22.3.9.2. Product Portfolio 22.3.9.3. Sales Footprint 22.3.9.4. Strategy Overview 22.3.10. Vectra AI Inc 22.3.10.1. Overview 22.3.10.2. Product Portfolio 22.3.10.3. Sales Footprint 22.3.10.4. Strategy Overview 23. Assumptions and Acronyms Used 24. Research Methodology
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Artificial Intelligence In Cybersecurity Market
