The global artificial intelligence (AI) in cybersecurity market size was approximate at US$ 17.4 billion in 2022 and is anticipated to grow US$ 102.78 billion by 2032, registering a compound annual growth rate of 19.43% from 2023 to 2032.
The artificial intelligence (AI) in cybersecurity market report covering various industry elements and growth trends helpful for predicting the market’s future.
The study provides a strong base for the artificial intelligence (AI) in cybersecurity market to be segmented into different segments. In fact, the study also covers the maximum market share during the assessment period by 2032.
This study is based on the partners that are highly competitive, key players as well as their market revenue in the forecast years of 2023 g0066ztr to 2032. There is also a strong focus on product revenues, sales, product categories and even the products that are experiencing the most traction. In this manner, the artificial intelligence (AI) in cybersecurity report also speaks about the effectiveness of this market along with its growth during the forecast period of 2030. Other major attributes of the artificial intelligence (AI) in cybersecurity market have been studied and analysed across many developments.
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Artificial Intelligence (AI) In Cybersecurity Market Report Scope
Report Coverage | Details |
Market Size in 2023 | USD 20.78 Billion |
Market Size by 2032 | USD 102.78 Billion |
Growth Rate from 2023 to 2032 | CAGR of 19.43% |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Segments Covered | By Type, By Offering, By Technology, By Vertical and By Application |
Also read: Drug Formulation Market Size to Grow US$ 2.95 Trillion By 2032
Research Approach
The comprehensive report on the global artificial intelligence (AI) in cybersecurity market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global artificial intelligence (AI) in cybersecurity market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
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.
Artificial Intelligence (AI) In Cybersecurity Market Segmentations
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
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 (2023-2032)
8.1.2. Endpoint Security
8.1.2.1. Market Revenue and Forecast (2023-2032)
8.1.3. Application Security
8.1.3.1. Market Revenue and Forecast (2023-2032)
8.1.4. Cloud Security
8.1.4.1. Market Revenue and Forecast (2023-2032)
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 (2023-2032)
9.1.2. Software
9.1.2.1. Market Revenue and Forecast (2023-2032)
9.1.3. Services
9.1.3.1. Market Revenue and Forecast (2023-2032)
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 (2023-2032)
10.1.2. Natural Language Processing (NLP)
10.1.2.1. Market Revenue and Forecast (2023-2032)
10.1.3. Context-aware computing
10.1.3.1. Market Revenue and Forecast (2023-2032)
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 (2023-2032)
11.1.2. Retail
11.1.2.1. Market Revenue and Forecast (2023-2032)
11.1.3. Government & Defense
11.1.3.1. Market Revenue and Forecast (2023-2032)
11.1.4. Manufacturing
11.1.4.1. Market Revenue and Forecast (2023-2032)
11.1.5. Enterprise
11.1.5.1. Market Revenue and Forecast (2023-2032)
11.1.6. Healthcare
11.1.6.1. Market Revenue and Forecast (2023-2032)
11.1.7. Automotive & Transportation
11.1.7.1. Market Revenue and Forecast (2023-2032)
11.1.8. Others
11.1.8.1. Market Revenue and Forecast (2023-2032)
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 (2023-2032)
12.1.2. Risk And Compliance Management
12.1.2.1. Market Revenue and Forecast (2023-2032)
12.1.3. Data Loss Prevention
12.1.3.1. Market Revenue and Forecast (2023-2032)
12.1.4. Unified Threat Management
12.1.4.1. Market Revenue and Forecast (2023-2032)
12.1.5. Fraud Detection/Anti-Fraud
12.1.5.1. Market Revenue and Forecast (2023-2032)
12.1.6. Threat Intelligence
12.1.6.1. Market Revenue and Forecast (2023-2032)
12.1.7. Others
12.1.7.1. Market Revenue and Forecast (2023-2032)
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 (2023-2032)
13.1.2. Market Revenue and Forecast, by Offering (2023-2032)
13.1.3. Market Revenue and Forecast, by Technology (2023-2032)
13.1.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.1.5. Market Revenue and Forecast, by Application (2023-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Type (2023-2032)
13.1.6.2. Market Revenue and Forecast, by Offering (2023-2032)
13.1.6.3. Market Revenue and Forecast, by Technology (2023-2032)
13.1.6.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.1.6.5. Market Revenue and Forecast, by Application (2023-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Type (2023-2032)
13.1.7.2. Market Revenue and Forecast, by Offering (2023-2032)
13.1.7.3. Market Revenue and Forecast, by Technology (2023-2032)
13.1.7.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.1.7.5. Market Revenue and Forecast, by Application (2023-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Type (2023-2032)
13.2.2. Market Revenue and Forecast, by Offering (2023-2032)
13.2.3. Market Revenue and Forecast, by Technology (2023-2032)
13.2.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.2.5. Market Revenue and Forecast, by Application (2023-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Type (2023-2032)
13.2.6.2. Market Revenue and Forecast, by Offering (2023-2032)
13.2.6.3. Market Revenue and Forecast, by Technology (2023-2032)
13.2.7. Market Revenue and Forecast, by Vertical (2023-2032)
13.2.8. Market Revenue and Forecast, by Application (2023-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Type (2023-2032)
13.2.9.2. Market Revenue and Forecast, by Offering (2023-2032)
13.2.9.3. Market Revenue and Forecast, by Technology (2023-2032)
13.2.10. Market Revenue and Forecast, by Vertical (2023-2032)
13.2.11. Market Revenue and Forecast, by Application (2023-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Type (2023-2032)
13.2.12.2. Market Revenue and Forecast, by Offering (2023-2032)
13.2.12.3. Market Revenue and Forecast, by Technology (2023-2032)
13.2.12.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.2.13. Market Revenue and Forecast, by Application (2023-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Type (2023-2032)
13.2.14.2. Market Revenue and Forecast, by Offering (2023-2032)
13.2.14.3. Market Revenue and Forecast, by Technology (2023-2032)
13.2.14.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.2.15. Market Revenue and Forecast, by Application (2023-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Type (2023-2032)
13.3.2. Market Revenue and Forecast, by Offering (2023-2032)
13.3.3. Market Revenue and Forecast, by Technology (2023-2032)
13.3.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.3.5. Market Revenue and Forecast, by Application (2023-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Type (2023-2032)
13.3.6.2. Market Revenue and Forecast, by Offering (2023-2032)
13.3.6.3. Market Revenue and Forecast, by Technology (2023-2032)
13.3.6.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.3.7. Market Revenue and Forecast, by Application (2023-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Type (2023-2032)
13.3.8.2. Market Revenue and Forecast, by Offering (2023-2032)
13.3.8.3. Market Revenue and Forecast, by Technology (2023-2032)
13.3.8.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.3.9. Market Revenue and Forecast, by Application (2023-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Type (2023-2032)
13.3.10.2. Market Revenue and Forecast, by Offering (2023-2032)
13.3.10.3. Market Revenue and Forecast, by Technology (2023-2032)
13.3.10.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.3.10.5. Market Revenue and Forecast, by Application (2023-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Type (2023-2032)
13.3.11.2. Market Revenue and Forecast, by Offering (2023-2032)
13.3.11.3. Market Revenue and Forecast, by Technology (2023-2032)
13.3.11.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.3.11.5. Market Revenue and Forecast, by Application (2023-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Type (2023-2032)
13.4.2. Market Revenue and Forecast, by Offering (2023-2032)
13.4.3. Market Revenue and Forecast, by Technology (2023-2032)
13.4.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.4.5. Market Revenue and Forecast, by Application (2023-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Type (2023-2032)
13.4.6.2. Market Revenue and Forecast, by Offering (2023-2032)
13.4.6.3. Market Revenue and Forecast, by Technology (2023-2032)
13.4.6.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.4.7. Market Revenue and Forecast, by Application (2023-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Type (2023-2032)
13.4.8.2. Market Revenue and Forecast, by Offering (2023-2032)
13.4.8.3. Market Revenue and Forecast, by Technology (2023-2032)
13.4.8.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.4.9. Market Revenue and Forecast, by Application (2023-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Type (2023-2032)
13.4.10.2. Market Revenue and Forecast, by Offering (2023-2032)
13.4.10.3. Market Revenue and Forecast, by Technology (2023-2032)
13.4.10.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.4.10.5. Market Revenue and Forecast, by Application (2023-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Type (2023-2032)
13.4.11.2. Market Revenue and Forecast, by Offering (2023-2032)
13.4.11.3. Market Revenue and Forecast, by Technology (2023-2032)
13.4.11.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.4.11.5. Market Revenue and Forecast, by Application (2023-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Type (2023-2032)
13.5.2. Market Revenue and Forecast, by Offering (2023-2032)
13.5.3. Market Revenue and Forecast, by Technology (2023-2032)
13.5.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.5.5. Market Revenue and Forecast, by Application (2023-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Type (2023-2032)
13.5.6.2. Market Revenue and Forecast, by Offering (2023-2032)
13.5.6.3. Market Revenue and Forecast, by Technology (2023-2032)
13.5.6.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.5.7. Market Revenue and Forecast, by Application (2023-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Type (2023-2032)
13.5.8.2. Market Revenue and Forecast, by Offering (2023-2032)
13.5.8.3. Market Revenue and Forecast, by Technology (2023-2032)
13.5.8.4. Market Revenue and Forecast, by Vertical (2023-2032)
13.5.8.5. Market Revenue and Forecast, by Application (2023-2032)
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
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence (AI) in cybersecurity market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence (AI) in cybersecurity are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2023-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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