Artificial Intelligence in Cybersecurity Market by Function (Advanced Threat Detection, Data Loss Prevention, Encryption), Type (Application Security, Cloud Security, Endpoint Security), Component, Organization Size, Deployment, Industry - Global Forecast

Artificial Intelligence in Cybersecurity Market by Function (Advanced Threat Detection, Data Loss Prevention, Encryption), Type (Application Security, Cloud Security, Endpoint Security), Component, Organization Size, Deployment, Industry - Global Forecast 2023-2030


The Artificial Intelligence in Cybersecurity Market is projected to reach USD 83.43 billion by 2030 from USD 15.08 billion in 2022, at a CAGR of 23.83% during the forecast period.

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the Artificial Intelligence in Cybersecurity Market.
  • Based on Function, market is studied across Advanced Threat Detection, Data Loss Prevention, Encryption, Identity & Access Management, Intrusion Detection/Prevention Systems, Proactive Defense and Threat Mitigation, and Risk and Compliance Management. The Data Loss Prevention is projected to witness significant market share during forecast period.
  • Based on Type, market is studied across Application Security, Cloud Security, Endpoint Security, and Network Security. The Network Security is projected to witness significant market share during forecast period.
  • Based on Component, market is studied across Services and Software Solutions. The Software Solutions is projected to witness significant market share during forecast period.
  • Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises. The Small & Medium Enterprises is projected to witness significant market share during forecast period.
  • Based on Deployment, market is studied across On-Cloud and On-Premises. The On-Cloud is projected to witness significant market share during forecast period.
  • Based on Industry, market is studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology, Manufacturing, Media & Entertainment, Telecommunication, and Travel & Hospitality. The Building, Construction & Real Estate is projected to witness significant market share during forecast period.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas is projected to witness significant market share during forecast period.
Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the Artificial Intelligence in Cybersecurity Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape Artificial Intelligence in Cybersecurity Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the Artificial Intelligence in Cybersecurity Market, highlighting leading vendors and their innovative profiles. These include Acalvio Technologies, Inc., Advanced Micro Devices, Inc., Amazon Web Services, Inc., Argus Cyber Security Ltd., BitSight Technologies, Inc., BlackBerry Limited, Capgemini Services SAS, Darktrace Holdings Limited, Dassault Systèmes S.E., Deep Instinct Ltd., Feedzai – Consultadoria e Inovação Tecnológica, S.A., High-Tech Bridge SA, Infosys Limited, Intel Corporation, International Business Machines Corporation, LexisNexis Risk Solutions, Inc., Micron Technology, Inc., NortonLifeLock Inc., Nozomi Networks Inc., NVIDIA Corporation, Samsung Electronics Co., Ltd., Securonix, Inc., Sentinelone Inc., SparkCognition Inc., Tenable, Inc., Vectra AI, Inc., wipro Limited, and Zimperium, Inc..

The report offers valuable insights on the following aspects:
  1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
  2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
  3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
  4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
  5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
  1. What is the market size and forecast for the Artificial Intelligence in Cybersecurity Market?
  2. Which products, segments, applications, and areas hold the highest investment potential in the Artificial Intelligence in Cybersecurity Market?
  3. What is the competitive strategic window for identifying opportunities in the Artificial Intelligence in Cybersecurity Market?
  4. What are the latest technology trends and regulatory frameworks in the Artificial Intelligence in Cybersecurity Market?
  5. What is the market share of the leading vendors in the Artificial Intelligence in Cybersecurity Market?
  6. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Cybersecurity Market?


Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in Cybersecurity Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Growing incidents of cyber attacks
5.1.1.2. Expanding adoption of Iot and rising number of connected devices
5.1.1.3. Need to handle huge volumes of data and accelerate real-time threat detection
5.1.2. Restraints
5.1.2.1. Concern regarding technical issues associated with AI in cybersecurity solutions
5.1.3. Opportunities
5.1.3.1. Rising adoption of cloud-based security solutions among SMEs
5.1.3.2. Introduction of advanced AI in cybersecurity solutions
5.1.4. Challenges
5.1.4.1. Data privacy issues and various government regulations regarding the implementation of AI in cybersecurity
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of COVID-19
5.5. Cumulative Impact of Russia-Ukraine Conflict
5.6. Cumulative Impact of High Inflation
5.7. Porter’s Five Forces Analysis
5.7.1. Threat of New Entrants
5.7.2. Threat of Substitutes
5.7.3. Bargaining Power of Customers
5.7.4. Bargaining Power of Suppliers
5.7.5. Industry Rivalry
5.8. Value Chain & Critical Path Analysis
5.9. Regulatory Framework
5.10. Client Customization
6. Artificial Intelligence in Cybersecurity Market, by Function
6.1. Introduction
6.2. Advanced Threat Detection
6.3. Data Loss Prevention
6.4. Encryption
6.5. Identity & Access Management
6.6. Intrusion Detection/Prevention Systems
6.7. Proactive Defense and Threat Mitigation
6.8. Risk and Compliance Management
7. Artificial Intelligence in Cybersecurity Market, by Type
7.1. Introduction
7.2. Application Security
7.3. Cloud Security
7.4. Endpoint Security
7.5. Network Security
8. Artificial Intelligence in Cybersecurity Market, by Component
8.1. Introduction
8.2. Services
8.3. Software Solutions
9. Artificial Intelligence in Cybersecurity Market, by Organization Size
9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium Enterprises
10. Artificial Intelligence in Cybersecurity Market, by Deployment
10.1. Introduction
10.2. On-Cloud
10.3. On-Premises
11. Artificial Intelligence in Cybersecurity Market, by Industry
11.1. Introduction
11.2. Aerospace & Defense
11.3. Automotive & Transportation
11.4. Banking, Financial Services & Insurance
11.5. Building, Construction & Real Estate
11.6. Consumer Goods & Retail
11.7. Education
11.8. Energy & Utilities
11.9. Government & Public Sector
11.10. Healthcare & Life Sciences
11.11. Information Technology
11.12. Manufacturing
11.13. Media & Entertainment
11.14. Telecommunication
11.15. Travel & Hospitality
12. Americas Artificial Intelligence in Cybersecurity Market
12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States
13. Asia-Pacific Artificial Intelligence in Cybersecurity Market
13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam
14. Europe, Middle East & Africa Artificial Intelligence in Cybersecurity Market
14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom
15. Competitive Landscape
15.1. FPNV Positioning Matrix
15.2. Market Share Analysis, By Key Player
15.3. Competitive Scenario Analysis, By Key Player
16. Competitive Portfolio
16.1. Key Company Profiles
16.1.1. Acalvio Technologies, Inc.
16.1.2. Advanced Micro Devices, Inc.
16.1.3. Amazon Web Services, Inc.
16.1.4. Argus Cyber Security Ltd.
16.1.5. BitSight Technologies, Inc.
16.1.6. BlackBerry Limited
16.1.7. Capgemini Services SAS
16.1.8. Darktrace Holdings Limited
16.1.9. Dassault Systèmes S.E.
16.1.10. Deep Instinct Ltd.
16.1.11. Feedzai – Consultadoria e Inovação Tecnológica, S.A.
16.1.12. High-Tech Bridge SA
16.1.13. Infosys Limited
16.1.14. Intel Corporation
16.1.15. International Business Machines Corporation
16.1.16. LexisNexis Risk Solutions, Inc.
16.1.17. Micron Technology, Inc.
16.1.18. NortonLifeLock Inc.
16.1.19. Nozomi Networks Inc.
16.1.20. NVIDIA Corporation
16.1.21. Samsung Electronics Co., Ltd.
16.1.22. Securonix, Inc.
16.1.23. Sentinelone Inc.
16.1.24. SparkCognition Inc.
16.1.25. Tenable, Inc.
16.1.26. Vectra AI, Inc.
16.1.27. wipro Limited
16.1.28. Zimperium, Inc.
16.2. Key Product Portfolio
17. Appendix
17.1. Discussion Guide
17.2. License & Pricing

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