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Artificial Intelligence in Cybersecurity Market: Introduction

  • Artificial intelligence endeavors to replicate human intelligence. AI has vast potential in cybersecurity. If connected correctly, artificial intelligence systems can be trained to produce alerts for malware, identify new types of threats, and defend sensitive data for organizations.
  • Increase in number of cyber-attacks would mean that a security expert in the company would not be able deal with the issue, and some of the threats would therefore naturally go unnoticed, which can cause a huge damage to the network. Therefore, artificial intelligence in cybersecurity can play an important role to guard the company’s network and sensitive data. 
  • Artificial intelligence in cybersecurity is presently gaining traction to secure information, and AI technology is proficient at rapidly investigating millions of data sets and tracking down a wide-ranging variety of cyber threats such as phishing attack, malware, and viruses
  • Adoption of AI in cybersecurity is expected to increase among end-users to resolve the issue of security and identify new varieties of attacks that can take place anytime; therefore, the adoption rate of artificial intelligence in cybersecurity market is increasing consistently
artificial intelligence in cybersecurity market size and forecast

Artificial Intelligence in Cybersecurity Market: Dynamics

Artificial Intelligence in Cybersecurity Market: Key Drivers

  • Artificial intelligence in cybersecurity systems can deliver the latest information of global as well as business-specific risks to formulate vigorous prioritization results based not only on what is most likely to be used to attack your system but what might be used to attack your systems
  • Artificial intelligence in cybersecurity technology is intelligent, and it uses its ability to advance network security over time. It employs deep learning and machine learning to learn a business network’s performance over time. It identifies patterns on the network and automatically clusters them. 
  • Artificial intelligence in cybersecurity technology helps evaluate systems rapidly to identify the business network and weak point in the computer system. It also helps businesses to focus on important security task in order to easily manage vulnerability and protect business systems in time.
  • Artificial intelligence in cybersecurity ensures the security of technological innovations and critical infrastructure; consequently, companies are increasing their AI cybersecurity budgets significantly, supporting business approaches with cybersecurity plans, and creating cyber alertness programs for customers and employees.
artificial intelligence in cybersecurity market growth trend

Impact of COVID-19 on Artificial Intelligence in Cybersecurity Market

  • Increase in cases of COVID-19 across the globe is resulting in an economic slowdown. Developed countries are strongly affected by the pandemic. Integration of artificial intelligence in cybersecurity helps data centers, cloud systems, and digital devices, so there is a huge demand for artificial intelligence in cybersecurity

North America to Hold Major Share of Artificial Intelligence in Cybersecurity Market

  • In terms of region, the global artificial intelligence in cybersecurity market can be divided into North America, Europe, Asia Pacific, Middle East & Africa, and South America
  • North America was a dominant region of the global artificial intelligence in cybersecurity market primarily owing to the presence of developed economies, such as the U.S. and Canada. Moreover, the high rate of adoption of artificial intelligence in cybersecurity by government agencies, financial institutes, and banks in the region face various challenges related to cyber threats and several big companies are based in North America are dealing in the artificial intelligence in cybersecurity market..
  • The global artificial intelligence in the cybersecurity market in Asia Pacific is anticipated to expand at a rapid pace during the forecast period. Developing countries in the region are mostly focused on the implementation of new technologies, and countries like India, China, and Japan are emphasizing on cybersecurity technology in various sectors.
global artificial intelligence in cybersecurity market size by competition landscape

Key Players Operating in Global Artificial Intelligence in Cybersecurity Market

  • Intel Corporation

Intel Corporation specializes in the design and manufacture of integrated processors, platforms, chipsets, circuits, and software solutions, such as Intel security, and embedded software. The company offers a wide range of products including desktops, tablets, SSDs, boards & kits, server products, Intel gateways, modems, and radio frequency transceivers. It provides solutions for embedded applications for healthcare, automotive, energy, and retail sectors.

  • SAP SE

SAP SE is a global technology company that provides enterprise application software for industries and companies across diverse sectors. SAP SE offers solutions for various businesses, including commerce, finance, asset management, manufacturing, human resources, supply chain, and procurement. The company also offers analytic solutions such as agile visualization, and business intelligence and cybersecurity for information and data needs.

Other key players operating in the global artificial intelligence in cybersecurity market include NVIDIA Corporation, Xilinx, Inc., Microsoft Corporation, International Business Machines Corporation, Samsung Electronics Co., Ltd., ThreatMetrix, Inc., Vectra AI, Inc., Palo Alto Networks, Inc., SparkCognition, Inc., Acalvio Technologies, Amazon Web Services, Inc., and Securonix, Inc.

Artificial Intelligence in Cybersecurity Market: Research Scope

Artificial Intelligence in Cybersecurity Market, by Offering

  • Hardware
  • Software
  • Services

Artificial Intelligence in Cybersecurity Market, by Deployment

  • Cloud
  • On-Premise

Artificial Intelligence in Cybersecurity Market, by Security

  • Cloud Security
  • Network Security
  • Endpoint Security
  • Application Security

Artificial Intelligence in Cybersecurity Market, by Technology

  • Context Aware Computing
  • Machine Learning
  • Natural Language Processing

Artificial Intelligence in Cybersecurity Market, by Application

  • Unified Threat Management
  • Identity and Access Management
  • Risk & Compliance Management
  • Fraud Detection/ Anti-Fraud
  • Data Loss Prevention
  • Unified Threat Management
  • Threat Intelligence
  • Intrusion Detection/ Prevention Systems
  • Antivirus/Antimalware
  • Others

Artificial Intelligence in Cybersecurity Market, by End-user

  • Retail
  • BFSI
  • Government & Defense
  • Infrastructure
  • Healthcare
  • Automotive & Transportation
  • Manufacturing
  • Others

Artificial Intelligence in Cybersecurity Market, by Region

  • North America
    • U.S.
    • Canada
    • Rest of North America
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia Pacific
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa
  • South America
    • Brazil
    • Rest of South America

This study by TMR is all-encompassing framework of the dynamics of the market. It mainly comprises critical assessment of consumers' or customers' journeys, current and emerging avenues, and strategic framework to enable CXOs take effective decisions.

Our key underpinning is the 4-Quadrant Framework EIRS that offers detailed visualization of four elements:

  • Customer Experience Maps
  • Insights and Tools based on data-driven research
  • Actionable Results to meet all the business priorities
  • Strategic Frameworks to boost the growth journey

The study strives to evaluate the current and future growth prospects, untapped avenues, factors shaping their revenue potential, and demand and consumption patterns in the global market by breaking it into region-wise assessment.

The following regional segments are covered comprehensively:

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • The Middle East and Africa

The EIRS quadrant framework in the report sums up our wide spectrum of data-driven research and advisory for CXOs to help them make better decisions for their businesses and stay as leaders.

Below is a snapshot of these quadrants.

1. Customer Experience Map

The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

2. Insights and Tools

The various insights in the study are based on elaborate cycles of primary and secondary research the analysts engage with during the course of research. The analysts and expert advisors at TMR adopt industry-wide, quantitative customer insights tools and market projection methodologies to arrive at results, which makes them reliable. The study not just offers estimations and projections, but also an uncluttered evaluation of these figures on the market dynamics. These insights merge data-driven research framework with qualitative consultations for business owners, CXOs, policy makers, and investors. The insights will also help their customers overcome their fears.

3. Actionable Results

The findings presented in this study by TMR are an indispensable guide for meeting all business priorities, including mission-critical ones. The results when implemented have shown tangible benefits to business stakeholders and industry entities to boost their performance. The results are tailored to fit the individual strategic framework. The study also illustrates some of the recent case studies on solving various problems by companies they faced in their consolidation journey.

4. Strategic Frameworks

The study equips businesses and anyone interested in the market to frame broad strategic frameworks. This has become more important than ever, given the current uncertainty due to COVID-19. The study deliberates on consultations to overcome various such past disruptions and foresees new ones to boost the preparedness. The frameworks help businesses plan their strategic alignments for recovery from such disruptive trends. Further, analysts at TMR helps you break down the complex scenario and bring resiliency in uncertain times.

The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:

1. What can be the best investment choices for venturing into new product and service lines?

2. What value propositions should businesses aim at while making new research and development funding?

3. Which regulations will be most helpful for stakeholders to boost their supply chain network?

4. Which regions might see the demand maturing in certain segments in near future?

5. What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?

6. Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?

7. Which government regulations might challenge the status of key regional markets?

8. How will the emerging political and economic scenario affect opportunities in key growth areas?

9. What are some of the value-grab opportunities in various segments?

10. What will be the barrier to entry for new players in the market?

Note: Although care has been taken to maintain the highest levels of accuracy in TMR’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.

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Artificial Intelligence In Cybersecurity Market

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