According to the new research report published by Precedence Research, titled “Artificial Intelligence (AI) In Cybersecurity Market (By Type: Network Security, Endpoint Security, Application Security, Cloud Security; By Offering: Hardware, Software, Services, By Technology: Machine Learning, Natural Language Processing, Context-aware computing; By Vertical: BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation, Others; By Application) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032”, the global artificial intelligence (AI) in cybersecurity market size is expected to be worth around US$ 102.78 billion by 2032 and is poised to record a yearly growth rate of 19.43% from 2023 to 2032. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on artificial intelligence (AI) in cybersecurity market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall artificial intelligence (AI) in cybersecurity market size by analysing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2032. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide artificial intelligence (AI) in cybersecurity market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of artificial intelligence (AI) in cybersecurity market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
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 Worth US$ 2.95 Trillion By 2032
Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence (AI) in cybersecurity market.
Some of the prominent players in the artificial intelligence (AI) 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.
- 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
Report Objectives
- To define, segment, and project the global market size for artificial intelligence (AI) in cybersecurity market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyse the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyse their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyse the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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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