Press release
AI in Cybersecurity Market Report, Industry Analysis, Trends, Growth and Forecast by 2029- Cisco,BAE Systems
The AI in Cybersecurity Market studied was anticipated to grow with a CAGR of nearly +9.3% during the forecast period.
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The major companies operating in the global AI in Cybersecurity Market outlined in the report are:
Cisco,BAE Systems,Fortinet,FireEye,Dell Technologies,Check Point,IBM,RSA Security,Symantec,Juniper Network,Palo Alto Networks
Industry News:
March 2023: Palo Alto Networks launched the ITDR (Identity Threat Detection and Response) module for Cortex XSIAM, which uses cutting-edge AI technology to combine user identification and behavior data, detect identity-driven cyberattacks quickly, and deploy cutting-edge AI technology. The module increases XSIAM's capability by integrating diverse security operations skills into a single, AI-driven security operations center (SOC) platform.
March 2023: Dell Technologies and CrowdStrike partnered to increase security controls across networks, endpoints, and clouds by enhancing MDR (managed detection and response) capabilities with MDR Pro Plus.
The report offers important information about the various market segments presented in order to facilitate the estimation of the global AI in Cybersecurity industry. These market segments are based on various relevant factors including the type of AI in Cybersecurity product or service, end users or applications, and regions. The report also provides a detailed analysis of the regional potential of the market, including the differences in the production values and demand volumes, the presence of market players, and the growth of each region during the year with a specific forecast period. The research covers the current market of market size growing rate of 7 years with key players.
AI in Cybersecurity Market Segments:
Market Segmentation by Type:
Machine Learning
Natural Language Processing
Other
Market Segmentation by Application:
BFSI
Government
IT & Telecom
Healthcare
Aerospace and Defense
Other
Table of Contents:
Chapter 1 Report Overview
Chapter 2 Market Snapshot
2.1 Major Companies Overview
2.2 AI in Cybersecurity Market Concentrations
2.3 Six-Year Compound Annual Growth Rate (CAGR%)
Chapter 3 Value Chain of AI in Cybersecurity Market
3.1 Upstream
3.2 Downstream
3.3 Porter's and Five Forces Analysis and SWOT Analysis
Chapter 4 Players Profiles
4.1 Company Profiles
4.2 Product Introduction
4.3 Production, Revenue (2017-2022)
4.4 SWOT Analysis
Chapter 5 Global AI in Cybersecurity Market Analysis by Regions
5.1 Market Status and Prospect (2017-2029)
5.2 Market Size and Growth Rate (2017-2029)
5.3 Market Local Capacity, Import, Export, Local Consumption Analysis (2017-2029)
Chapter 6 North America Market Analysis by Countries
Chapter 7 China Market Analysis by Countries
Chapter 8 Europe Market Analysis by Countries
Chapter 9 Asia-Pacific Market Analysis by Countries
Chapter 10 India Market Analysis by Countries
Chapter 11 Middle East and Africa Market Analysis by Countries
Chapter 12 South America Market Analysis by Countries
Chapter 13 Global Market Segment by Types
Chapter 14 Global Market Segment by Applications
Chapter 15 Market Forecast by Regions (2023-2029)
Chapter 16 Appendix
Regional Insights:
North America held the leading position in the market in 2022 due to the rise in network-connected devices supported by the deployment of 5G, IoT, and Wi-Fi 6. The development of the 5G network has been fueled by several sectors, including healthcare, the automobile, energy, and mining industries. Leading businesses are anticipated to make investments in cutting-edge analytical tools like machine learning, visualization, and asset mapping for in-the-moment monitoring and assessment to capitalize on this expansion. In order to stop assaults, identify harmful user behavior, and spot aberrant trends, neural networks, machine learning, and natural language processing are projected to be used more frequently in North America.
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The study objectives of this report are:
- To study and analyze the Global AI in Cybersecurity market size (value and volume) by the company, key regions/countries, products and applications, history data from 2016 to 2021, and forecast to 2028.
- To understand the structure of AI in Cybersecurity by identifying its various sub-segments.
- To share detailed information about the key factors manipulating the growth of the market (growth
potential, opportunities, drivers, industry-specific challenges, and risks).
- To analyze the report with respect to individual growth trends, future prospects, and their contribution to the total market.
- To analyze modest developments such as expansions, agreements, new product launches, and acquisitions in the market.
- To strategically profile the key players and comprehensively analyze their growth strategies.
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Scope of The Report:
The key insights of the report have has presented through the frameworks of SWOT, and Market Attractiveness charts.
The attractiveness of the market has presented by Region, Type, and by End User. Additionally, the major opportunities, trends, drivers and challenges of the industry have been analyzed in the report.
The report provides a detailed pipeline analysis developed to cure the problem of AI in Cybersecurity.
The report tracks competitive developments, strategies, mergers, and acquisitions, and new product development.
To take advantage of business owners, tap hard at AI in Cybersecurity research to get a thorough understanding of current momentum.
The report presents the analysis of AI in Cybersecurity for the historical period of 2017-2022 and the forecast period of 2023-2029.
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