Artificial Intelligence in Cybersecurity Market to Observe Strong Development at a CAGR of ~22.3% by 2020 to 2030 | Impacts of COVID-19

The global artificial intelligence in cybersecurity market is estimated to account for over US$ 8.5 billion in 2019. It is anticipated to grow at a CAGR of ~22.3% from 2019 to 2030.

The growth of the AI in cybersecurity market can be attributed to several factors which have led to the wide-scale adoption of these services by large enterprise and SMEs. The rising number of cyber-attacks due to the growing trend of digitalization coupled with increasing adoption of cloud-based services is further anticipated to fuel the demand for AI in cybersecurity. To obtain better insights regarding the market scenario, prominent players are increasingly focusing on the development of novel technologies, providing updates and simultaneously offering innovative solutions to ensure the sustainability of different solutions. For instance, IBM provides IBM QRadar, a cloud-based security solution to identify unknown threats. QRadar helps to automatically identify the top threats and reduce the risk of cyber-attacks.

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Major Key Players of the Artificial Intelligence In Cybersecurity Market are:
Intel Corporation,
NVIDIA Corporation,
IBM,
SAMSUNG,
Xilinx,
Micron Technology,
Inc., Cylance (BlackBerry Limited.),
F-Secure,
LexisNexis Risk Solutions,
and Sift, among others.

Artificial Intelligence technologies are mainly deployed to solve some of the most difficult problems, and cybersecurity falls into this category. AI analyzes the data to identify the relationships between threats, such as malicious files, suspicious IP addresses or insiders. This analysis takes lesser time when compared to cybersecurity professional to respond to threats. AI can identify any genuine problems within a fraction of seconds by cross-referencing different alerts and sources of security data. Each year the number of cyberattacks is growing in volume and complexity and with the help of AI, security analysts can stay ahead of any potential threats.

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Major by Technology of Artificial Intelligence In Cybersecurity covered are:

Machine Learning and
Natural Language Processing

Major Applications of Artificial Intelligence In Cybersecurity covered are:

Risk & Compliance Management,
Data Loss Prevention,
Antivirus/Antimalware,
Identity & Access Management,
and Security & Vulnerability Management

Regional Analysis:

North America is expected to account for the largest market size in the AI in cybersecurity market during the forecast period. This large market share can be attributed to various factors such as robust economic infrastructure in the region and the increasing business demand for various security services. Moreover, the region is also one of the early adopters of AI and consists of several noteworthy market players.

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Research objectives:-

- To study and analyze the global Plant-Based Food Market consumption (value & volume) by key regions/countries, product type and application, history data.

- To understand the structure of the Plant-Based Food Market by identifying its various sub-segments.

- Focuses on the key global Plant-Based Food Market manufacturers, to define, describe and analyze the sales volume, value, market share, market competitive landscape, SWOT analysis, and development plans in the next few years.

- To analyze the Plant-Based Food Market with respect to individual growth trends, future prospects, and their contribution to the total market.

- To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

Table of Contents

1.INTRODUCTION
1.Market Definition
2.Market Ecosystem
1.Market Classification
2.Geographic Scope
3.Years Considered for the Study
1.Historical Years – 2016 & 2017
2.Base Year – 2018
3.Forecasted Years – 2019 to 2030
3.Currency Used for the Study
4.Report Beneficiary List

2.RESEARCH METHODOLOGY
1.Research Framework
2.Data Collection Technique
3.Data Sources
1.Secondary Sources
2.Primary Sources
4.Market Estimation Methodology
1.Bottoms Up Approach
2.Top Down Approach
5.Data Validation and Triangulation
1.Market Forecasting Model
2.Limitations of the Study
3.Assumptions of the Study

3.ABSTRACT OF THE STUDY

4.MARKET DYNAMICS ASSESMENT
1.Overview
2.Drivers
3.Barriers/Challenges
4.Opportunities

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In the end, Artificial Intelligence In Cybersecurity industry report specifics the major regions, market scenarios with the product price, volume, supply, revenue, production, market growth rate, demand, forecast and so on. This report also presents SWOT analysis, investment feasibility analysis, and investment return analysis.

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