The artificial intelligence (AI) in cybersecurity market would grow at a CAGR of 19.43% over the predicted time frame. The market is expected to increase in value from US$ 17.4 Bn in 2022 to US$ 102.78 Bn in 2032.
The on artificial intelligence (AI) in cybersecurity Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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A recent report provides crucial insights along with application based and forecast information in the Global Artificial intelligence (AI) in cybersecurity Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial intelligence (AI) in cybersecurity market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Artificial intelligence (AI) in cybersecurity market are included as given below:
Artificial intelligence (AI) in cybersecurity Market Key Players
- 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.
- Symantec Corporation.
Market Segments
By Type
- Network Security
- Endpoint Security
- Application Security
- Cloud Security
By Offering
- Hardware
- Software
- Services
By Technology
- Machine Learning
- Natural Language Processing (NLP)
- Context-aware Computing
By Vertical
- BFSI
- Retail
- Government & Defense
- Manufacturing
- Enterprise
- Healthcare
- Automotive & Transportation
- Others
By Application
- Identity And Access Management
- Risk And Compliance Management
- Data Loss Prevention
- Unified Threat Management
- Fraud Detection/Anti-Fraud
- Threat Intelligence
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- The Middle East and Africa
Report Objectives
- To define, describe, and forecast the global artificial intelligence (AI) in cybersecurity market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the artificial intelligence (AI) in cybersecurity market
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) In Cybersecurity Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) In Cybersecurity Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence (AI) In Cybersecurity Market, By Type
8.1. Artificial Intelligence (AI) In Cybersecurity Market, by Type, 2023-2032
8.1.1. Network Security
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Endpoint Security
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Application Security
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Cloud Security
8.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence (AI) In Cybersecurity Market, By Offering
9.1. Artificial Intelligence (AI) In Cybersecurity Market, by Offering, 2023-2032
9.1.1. Hardware
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Software
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Services
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence (AI) In Cybersecurity Market, By Technology
10.1. Artificial Intelligence (AI) In Cybersecurity Market, by Technology, 2023-2032
10.1.1. Machine Learning
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Natural Language Processing (NLP)
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Context-aware computing
10.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence (AI) In Cybersecurity Market, By Vertical
11.1. Artificial Intelligence (AI) In Cybersecurity Market, by Vertical, 2023-2032
11.1.1. BFSI
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Retail
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Government & Defense
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Manufacturing
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Enterprise
11.1.5.1. Market Revenue and Forecast (2020-2032)
11.1.6. Healthcare
11.1.6.1. Market Revenue and Forecast (2020-2032)
11.1.7. Automotive & Transportation
11.1.7.1. Market Revenue and Forecast (2020-2032)
11.1.8. Others
11.1.8.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Artificial Intelligence (AI) In Cybersecurity Market, By Application
12.1. Artificial Intelligence (AI) In Cybersecurity Market, by Application, 2023-2032
12.1.1. Identity And Access Management
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Risk And Compliance Management
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Data Loss Prevention
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Unified Threat Management
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. Fraud Detection/Anti-Fraud
12.1.5.1. Market Revenue and Forecast (2020-2032)
12.1.6. Threat Intelligence
12.1.6.1. Market Revenue and Forecast (2020-2032)
12.1.7. Others
12.1.7.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Artificial Intelligence (AI) In Cybersecurity Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Type (2020-2032)
13.1.2. Market Revenue and Forecast, by Offering (2020-2032)
13.1.3. Market Revenue and Forecast, by Technology (2020-2032)
13.1.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.1.5. Market Revenue and Forecast, by Application (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Type (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Offering (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.1.6.5. Market Revenue and Forecast, by Application (2020-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Type (2020-2032)
13.1.7.2. Market Revenue and Forecast, by Offering (2020-2032)
13.1.7.3. Market Revenue and Forecast, by Technology (2020-2032)
13.1.7.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.1.7.5. Market Revenue and Forecast, by Application (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Type (2020-2032)
13.2.2. Market Revenue and Forecast, by Offering (2020-2032)
13.2.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.5. Market Revenue and Forecast, by Application (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Type (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Offering (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.7. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.8. Market Revenue and Forecast, by Application (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Type (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Offering (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.10. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.11. Market Revenue and Forecast, by Application (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Type (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Offering (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.13. Market Revenue and Forecast, by Application (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Type (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Offering (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.15. Market Revenue and Forecast, by Application (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Type (2020-2032)
13.3.2. Market Revenue and Forecast, by Offering (2020-2032)
13.3.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.5. Market Revenue and Forecast, by Application (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Type (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Offering (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.7. Market Revenue and Forecast, by Application (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Type (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Offering (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.9. Market Revenue and Forecast, by Application (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Type (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Offering (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.10.5. Market Revenue and Forecast, by Application (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Type (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Offering (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.11.5. Market Revenue and Forecast, by Application (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Type (2020-2032)
13.4.2. Market Revenue and Forecast, by Offering (2020-2032)
13.4.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.5. Market Revenue and Forecast, by Application (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Type (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Offering (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.7. Market Revenue and Forecast, by Application (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Type (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Offering (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.9. Market Revenue and Forecast, by Application (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Type (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Offering (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.10.5. Market Revenue and Forecast, by Application (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Type (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Offering (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.11.5. Market Revenue and Forecast, by Application (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Type (2020-2032)
13.5.2. Market Revenue and Forecast, by Offering (2020-2032)
13.5.3. Market Revenue and Forecast, by Technology (2020-2032)
13.5.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.5.5. Market Revenue and Forecast, by Application (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Type (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Offering (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.5.7. Market Revenue and Forecast, by Application (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Type (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Offering (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Technology (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Vertical (2020-2032)
13.5.8.5. Market Revenue and Forecast, by Application (2020-2032)
Chapter 14. Company Profiles
14.1. NVIDIA Corporation
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. Intel Corporation
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. Xilinx Inc.
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Samsung Electronics Co Ltd
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Micron Technology Inc.
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Amazon Web Services, Inc.
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. IBM Corporation
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. Microsoft Corporation
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. FireEye, Inc.
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
14.10. Palo Alto Networks, Inc.
14.10.1. Company Overview
14.10.2. Product Offerings
14.10.3. Financial Performance
14.10.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms
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