Global Artificial Intelligence (AI) in Cyber Security Market Research Report with Opportunities and Strategies to Boost Growth- COVID-19 Impact and Recovery

SKU ID : Maia-16513925 | Publishing Date : 06-Oct-2020 | No. of pages : 125

Artificial Intelligence (AI) in Cyber Security can provide an alternative to traditional cyber security solutions. Rather than counting on code signatures, machines can evaluate the behavior of the program and use machine learning to discover a match, where that behavior is predictive of malicious code.Artificial Intelligence (AI) in Cyber Security is most effective as a tool when it has access to a large pool of data to study and analyze from, minimizing attack surfaces through predictive analytics. The volume of security alerts that appear daily can be very overwhelming for the security team. Automating threat identification and response supports lighten the load off of cyber security experts who have to deal with prioritizing cyber security-related concerns and can aid the detection of threats much more efficiently than other software-driven methods.
Based on the Artificial Intelligence (AI) in Cyber Security market development status, competitive landscape and development model in different regions of the world, this report is dedicated to providing niche markets, potential risks and comprehensive competitive strategy analysis in different fields. From the competitive advantages of different types of products and services, the development opportunities and consumption characteristics and structure analysis of the downstream application fields are all analyzed in detail. To Boost Growth during the epidemic era, this report analyzes in detail for the potential risks and opportunities which can be focused on.

In Chapter 2.4 of the report, we share our perspectives for the impact of COVID-19 from the long and short term.
In chapter 3.4, we provide the influence of the crisis on the industry chain, especially for marketing channels.
In chapters 8-13, we update the timely industry economic revitalization plan of the country-wise government.

Key players in the global Artificial Intelligence (AI) in Cyber Security market covered in Chapter 5:
Navitas
HighJump Software
AGI Worldwide
Appolis
Jungheinrich
Navitas
Camelot 3PL Software
Argos Software
Advanced Systems Consultants
Bloxx IT Solutions
ASC
Boon Software
Cadre Technologies
Deposco
Oracle
BFC Software
Automation Associates
IBM
HAL Systems
Aldata
AFS Technologies
Infor

In Chapter 6, on the basis of types, the Artificial Intelligence (AI) in Cyber Security market from 2015 to 2025 is primarily split into:
Hardware
Software
Service

In Chapter 7, on the basis of applications, the Artificial Intelligence (AI) in Cyber Security market from 2015 to 2025 covers:
BFSI
IT & Telecom
Aerospace and Defense
Healthcare
Other

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 8-13:
North America (Covered in Chapter 9)
United States
Canada
Mexico
Europe (Covered in Chapter 10)
Germany
UK
France
Italy
Spain
Russia
Others
Asia-Pacific (Covered in Chapter 11)
China
Japan
South Korea
Australia
India
South America (Covered in Chapter 12)
Brazil
Argentina
Columbia
Middle East and Africa (Covered in Chapter 13)
UAE
Egypt
South Africa

Years considered for this report:


Historical Years:

2015-2019

Base Year:

2019

Estimated Year:

2020

Forecast Period:

2020-2025

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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