2023-2029 AI-based Cybersecurity Market Size (Share and Outlook) with Comprehensive Regional Analysis | Research Report by Absolute Reports

PRESS RELEASE
Published March 29, 2023

Global AI-based Cybersecurity Market key players cover IBM, Cisco, Fortinet, Balbix, Darktrace, CrowdStrike, Symantec, Cynet, Check Point, Trend Micro, FireEye, Vectra, BlackBerry Cylance, McAfee, Sophos, Sangfor Technologies, Mobilicom, Muninn, ThreatBook, Vade Secure.

"Final Report will add the analysis of the impact of COVID-19 on this industry."

Global "AI-based Cybersecurity Market" study report [with 122 Pages] examines the market's top possibilities and gives a concise rundown of the elements that are driving and will continue to drive the development of the sector. While predicting the general development of the worldwide AI-based Cybersecurity market from 2023 to 2030, the report also digs into historical growth trends, growth drivers, and current and upcoming trends. The report covers a range of market-related topics, including sales, production, revenue, consumption, market share, growth strategies, product kinds, applications, and key players. It also assesses agreements, new product launches, expansion plans, and acquisitions.

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About AI-based Cybersecurity Market:

As cyberattacks grow in volume and complexity, artificial intelligence (AI) is helping under-resourced security operations analysts stay ahead of threats. AI technologies like machine learning and natural language processing provide rapid insights to cut through the noise of daily alerts, drastically reducing response times. AI-based Softwalso can detect, prevent, and respond to multiple drone or robotics cyber-attacks in real-time
This Insight Report provides a comprehensive analysis of the global AI-based Cybersecurity landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and MandA activity. This report also analyzes the strategies of leading global companies with a focus on AI-based Cybersecurity portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-based Cybersecurity market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-based Cybersecurity and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-based Cybersecurity.
The global AI-based Cybersecurity market size is projected to grow from USD million in 2022 to USD million in 2029. CAGR from 2023 to 2029.
United States market for AI-based Cybersecurity is estimated to increase from USD million in 2022 to USD million by 2029, at a CAGR from 2023 through 2029.
China market for AI-based Cybersecurity is estimated to increase from USD million in 2022 to USD million by 2029, at a CAGR from 2023 through 2029.
Europe market for AI-based Cybersecurity is estimated to increase from USD million in 2022 to USD million by 2029, at a CAGR from 2023 through 2029.
Global key AI-based Cybersecurity players cover IBM, Cisco, Fortinet, Balbix, Darktrace, CrowdStrike, Symantec, Cynet and Check Point, etc. In terms of revenue, the global two largest companies occupied for a share nearly in 2022.

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Report Coverage

This latest report provides a deep insight into the global AI-based Cybersecurity market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, value chain analysis, etc.

This report aims to provide a comprehensive picture of the global AI-based Cybersecurity market, with both quantitative and qualitative data, to help readers understand how the AI-based Cybersecurity market scenario changed across the globe during the pandemic and Russia-Ukraine War.

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AI-based Cybersecurity Market Segment by Manufacturers:

  • IBM
  • Cisco
  • Fortinet
  • Balbix
  • Darktrace
  • CrowdStrike
  • Symantec
  • Cynet
  • Check Point
  • Trend Micro
  • FireEye
  • Vectra
  • BlackBerry Cylance
  • McAfee
  • Sophos
  • Sangfor Technologies
  • Mobilicom
  • Muninn
  • ThreatBook
  • Vade Secure

Segmentation by type:

  • On-Premise
  • Cloud Based

Segmentation by application:

  • BFSI
  • IT and Telecom
  • Retail
  • Healthcare
  • Government
  • Manufacturing
  • Energy
  • Others

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Chapter Introduction of AI-based Cybersecurity Market Report:

Chapter 1: Scope of AI-based Cybersecurity, Research Methodology, etc.

Chapter 2: Executive Summary, global AI-based Cybersecurity market size (sales and revenue) and CAGR, AI-based Cybersecurity market size by region, by type, by application, historical data from 2018 to 2023, and forecast to 2029.

Chapter 3: AI-based Cybersecurity sales, revenue, average price, global market share, and industry ranking by company, 2018-2023

Chapter 4: Global AI-based Cybersecurity sales and revenue by region and by country. Country specific data and market value analysis for the U.S., Canada, Europe, China, Japan, South Korea, Southeast Asia, India, Latin America and Middle East and Africa.

Chapter 5, 6, 7, 8: Americas, APAC, Europe, Middle East and Africa, sales segment by country, by type, and type.

Chapter 9: Analysis of the current market trends, market forecast, opportunities and economic trends that are affecting the future marketplace

Chapter 10: Manufacturing cost structure analysis

Chapter 11: Sales channel, distributors, and customers

Chapter 12: World Forecast Review for AI-based Cybersecurity by Geographic Region.

Chapter 13: Key Players Analysis

Chapter 14: Research Findings and Conclusion.

Key Questions Addressed in this Report

  • What is the 10-year outlook for the global AI-based Cybersecurity market?
  • What factors are driving AI-based Cybersecurity market growth, globally and by region?
  • Which technologies are poised for the fastest growth by market and region?
  • How do AI-based Cybersecurity market opportunities vary by end market size?
  • How does AI-based Cybersecurity break out type, application?
  • What are the influences of COVID-19 and Russia-Ukraine war?

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Detailed TOC of Global AI-based Cybersecurity Market Growth 2023-2029

1 Scope of the Report

1.1 Market Introduction

1.2 Years Considered

1.3 Research Objectives

1.4 Market Research Methodology

1.5 Research Process and Data Source

1.6 Economic Indicators

1.7 Currency Considered

1.8 Market Estimation Caveats

2 Executive Summary

2.1 World Market Overview

2.1.1 Global AI-based Cybersecurity Annual Sales 2018-2029

2.1.2 World Current and Future Analysis for AI-based Cybersecurity by Geographic Region, 2018, 2022 and 2029

2.1.3 World Current and Future Analysis for AI-based Cybersecurity by Country/Region, 2018, 2022 and 2029

2.2 AI-based Cybersecurity Segment by Type

2.3 AI-based Cybersecurity Sales by Type

2.3.1 Global AI-based Cybersecurity Sales Market Share by Type (2018-2023)

2.3.2 Global AI-based Cybersecurity Revenue and Market Share by Type (2018-2023)

2.3.3 Global AI-based Cybersecurity Sale Price by Type (2018-2023)

2.4 AI-based Cybersecurity Segment by Application

2.5 AI-based Cybersecurity Sales by Application

2.5.1 Global AI-based Cybersecurity Sale Market Share by Application (2018-2023)

2.5.2 Global AI-based Cybersecurity Revenue and Market Share by Application (2018-2023)

2.5.3 Global AI-based Cybersecurity Sale Price by Application (2018-2023)

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3 Global AI-based Cybersecurity by Company

3.1 Global Breakdown Data by Company

3.1.1 Global Annual Sales by Company (2018-2023)

3.1.2 Global Sales Market Share by Company (2018-2023)

3.2 Global Annual Revenue by Company (2018-2023)

3.2.1 Global Revenue by Company (2018-2023)

3.2.2 Global Revenue Market Share by Company (2018-2023)

3.3 Global Sale Price by Company

3.4 Key Manufacturers Producing Area Distribution, Sales Area, Product Type

3.4.1 Key Manufacturers Product Location Distribution

3.4.2 Players AI-based Cybersecurity Products Offered

3.5 Market Concentration Rate Analysis

3.5.1 Competition Landscape Analysis

3.5.2 Concentration Ratio (CR3, CR5 and CR10) and (2018-2023)

3.6 New Products and Potential Entrants

3.7 Mergers and Acquisitions, Expansion

4 World Historic Review for AI-based Cybersecurity by Geographic Region

4.1 World Historic Market Size by Geographic Region (2018-2023)

4.1.1 Global Annual Sales by Geographic Region (2018-2023)

4.1.2 Global Annual Revenue by Geographic Region (2018-2023)

4.2 World Historic Market Size by Country/Region (2018-2023)

4.2.1 Global Annual Sales by Country/Region (2018-2023)

4.2.2 Global Annual Revenue by Country/Region (2018-2023)

4.3 Americas Sales Growth

4.4 APAC Sales Growth

4.5 Europe Sales Growth

4.6 Middle East and Africa AI-based Cybersecurity Sales Growth

5 Americas

5.1 Americas AI-based Cybersecurity Sales by Country

5.1.1 Americas AI-based Cybersecurity Sales by Country (2018-2023)

5.1.2 Americas AI-based Cybersecurity Revenue by Country (2018-2023)

5.2 Americas AI-based Cybersecurity Sales by Type

5.3 Americas AI-based Cybersecurity Sales by Application

5.4 United States

5.5 Canada

5.6 Mexico

5.7 Brazil

6 APAC

6.1 APAC AI-based Cybersecurity Sales by Region

6.1.1 APAC AI-based Cybersecurity Sales by Region (2018-2023)

6.1.2 APAC AI-based Cybersecurity Revenue by Region (2018-2023)

6.2 APAC AI-based Cybersecurity Sales by Type

6.3 APAC AI-based Cybersecurity Sales by Application

6.4 China

6.5 Japan

6.6 South Korea

6.7 Southeast Asia

6.8 India

6.9 Australia

6.10 China Taiwan

7 Europe

7.1 Europe AI-based Cybersecurity by Country

7.1.1 Europe AI-based Cybersecurity Sales by Country (2018-2023)

7.1.2 Europe AI-based Cybersecurity Revenue by Country (2018-2023)

7.2 Europe AI-based Cybersecurity Sales by Type

7.3 Europe AI-based Cybersecurity Sales by Application

7.4 Germany

7.5 France

7.6 UK

7.7 Italy

7.8 Russia

8 Middle East and Africa

8.1 Middle East and Africa AI-based Cybersecurity by Country

8.1.1 Middle East and Africa AI-based Cybersecurity Sales by Country (2018-2023)

8.1.2 Middle East and Africa AI-based Cybersecurity Revenue by Country (2018-2023)

8.2 Middle East and Africa AI-based Cybersecurity Sales by Type

8.3 Middle East and Africa AI-based Cybersecurity Sales by Application

8.4 Egypt

8.5 South Africa

8.6 Israel

8.7 Turkey

8.8 GCC Countries

9 Market Drivers, Challenges and Trends

9.1 Market Drivers and Growth Opportunities

9.2 Market Challenges and Risks

9.3 Industry Trends

10 Manufacturing Cost Structure Analysis

10.1 Raw Material and Suppliers

10.2 Manufacturing Cost Structure Analysis of AI-based Cybersecurity

10.3 Manufacturing Process Analysis of AI-based Cybersecurity

10.4 Industry Chain Structure of AI-based Cybersecurity

11 Marketing, Distributors and Customer

11.1 Sales Channel

11.1.1 Direct Channels

11.1.2 Indirect Channels

11.2 AI-based Cybersecurity Distributors

11.3 AI-based Cybersecurity Customer

12 World Forecast Review for AI-based Cybersecurity by Geographic Region

12.1 Global AI-based Cybersecurity Market Size Forecast by Region

12.1.1 Global AI-based Cybersecurity Forecast by Region (2024-2029)

12.1.2 Global AI-based Cybersecurity Annual Revenue Forecast by Region (2024-2029)

12.2 Americas Forecast by Country

12.3 APAC Forecast by Region

12.4 Europe Forecast by Country

12.5 Middle East and Africa Forecast by Country

12.6 Global AI-based Cybersecurity Forecast by Type

12.7 Global AI-based Cybersecurity Forecast by Application

13 Key Players Analysis

13.1 MANUFACTURE 1

13.1.1 MANUFACTURE 1 Company Information

13.1.2 MANUFACTURE 1 AI-based Cybersecurity Product Portfolios and Specifications

13.1.3 MANUFACTURE 1 AI-based Cybersecurity Sales, Revenue, Price and Gross Margin (2018-2023)

13.1.4 MANUFACTURE 1 Main Business Overview

13.1.5 MANUFACTURE 1 Latest Developments

14 Research Findings and Conclusion

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