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 |
|
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.
Principal Consultant
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
