April 19, 2024
ICT

Artificial Intelligence (AI) In Cybersecurity Market Size to Grow US$ 102.78 Billion By 2032

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.

Artificial Intelligence (AI) In Cybersecurity Market Size 2023 To 2032 - Precedence Statistics

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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Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

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