Artificial Intelligence (AI) In Cybersecurity Market Size Analysis 2022 To 2032

The global artificial intelligence (AI) in cybersecurity market size accounted for US$ 17.4  Bn in 2022 and is projected to reach around USD 102.78  Bn by 2032, growing at a CAGR of 19.43% from 2023 to 2032.

Report Summary

The global artificial intelligence (AI) in cybersecurity market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the artificial intelligence (AI) in cybersecurity market across the globe.

A comprehensive estimate on the artificial intelligence (AI) in cybersecurity market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of artificial intelligence (AI) in cybersecurity during the forecast period. Price point comparison by region with global average price is also considered in the study.

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Artificial Intelligence (AI) In Cybersecurity Market Report Scope 

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized artificial intelligence (AI) in cybersecurity market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

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Market Players

The report includes the profiles of key artificial intelligence (AI) in cybersecurity market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area

• 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  Segmentation

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

Regional Segmentation

• North America (U.S., Canada, Mexico)
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
• Latin America (Brazil and Rest of Latin America)
• Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

• Governmental bodies, and organizations creating economic policies
• National and international social welfare institutions
• Company websites, financial reports and SEC filings, broker and investor reports
• Related patent and regulatory databases
• Statistical databases and market reports
• Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

• Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
• In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

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

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