Artificial intelligence-based cybersecurity market size to grow by 19.52% Y-O-Y from 2022 to 2023, Rapid increase in the use of mobile and other connected devices will drive market growth, Technavio | #hacking | #cybersecurity | #infosec | #comptia | #pentest | #ransomware

NEW YORK, March 4, 2024 /PRNewswire/ — In 2017, the artificial intelligence-based cybersecurity market was valued at USD 8,811.09 million. From a regional perspective, APAC held the largest market share, valued at USD 3,435.17 million. The artificial intelligence-based cybersecurity market size is estimated to grow by USD 28285.28 million from 2022 to 2027 at a CAGR of 22.3% according to Technavio. To understand more about the information services market, View PDF sample 

Report Coverage


Page number


Base year


Historic period


Forecast period


Growth momentum & CAGR

Accelerate at a CAGR of 22.3%

Market growth 2023-2027

USD 28.29 billion

Market structure


YoY growth 2022-2023(%)


Regional analysis

APAC, North America, Europe, South America, and Middle East and Africa

Performing market contribution

APAC at 44%

Key countries

US, China, Japan, UK, and Germany

Market insights –

  • Vendors: 15+, Including Inc., AO Kaspersky Lab, BlackBerry Ltd., Broadcom Inc., Check Point Software Technologies Ltd., Cisco Systems Inc., CrowdStrike Holdings Inc., Dell Technologies Inc., Fortinet Inc., Hewlett Packard Enterprise Co., International Business Machines Corp., Juniper Networks Inc., LogRhythm Inc., Mahindra and Mahindra Ltd., S.C. BITDEFENDER Srl, Securonix Inc., Vectra AI Inc., Intel Corp., Micron Technology Inc., and NVIDIA Corp. among others
  • Coverage: Key drivers, major trends, and challenges; customer and vendor landscape; vendor product insights and recent developments; key vendors; and market positioning of vendors
  • Segments: End-user (BFSI, government, ICT, healthcare, and others), deployment (cloud and on-premises), and geography (APAC, North America, Europe, South America, and Middle East and AfricaView PDF sample 

Customer landscape

To help companies evaluate and develop growth strategies, the report outlines –

  • Key purchase criteria
  • Adoption rates
  • Adoption lifecycle
  • Drivers of price sensitivity
  • For highlights on customer landscape analysis, download a sample!

Vendor insights

The growing competition in the market is compelling vendors to adopt various growth strategies such as promotional activities and spending on advertisements to improve the visibility of their services. Technavio report analyzes the market’s competitive landscape and offers information on several market vendors including –

  • Inc: The company offers artificial intelligence-based cybersecurity such as AWS Cloud Security.
  • AO Kaspersky Lab: The company offers artificial intelligence-based cybersecurity such as Kaspersky Endpoint Security.
  • BlackBerry Ltd: The company offers artificial intelligence-based cybersecurity such as Cylance AI. View PDF sample 

Analyst Review

In today’s digital landscape, where cyber threats loom large, organizations across the BFSI and fintech sectors face an unprecedented challenge to safeguard their sensitive data and infrastructure. The escalating frequency and sophistication of cyberattacks, including distributed denial of service (DDoS) attacks, underscore the urgent need for robust cybersecurity solutions. In response, innovative technologies like Artificial Intelligence (AI) and Machine Learning (ML) are increasingly becoming the cornerstone of cybersecurity strategies.

AI-powered cybersecurity solutions leverage Natural Language Processing (NLP), Behavioral Biometrics, and ML algorithms to proactively identify and mitigate cyber threats. By analyzing vast datasets and patterns in real-time, these systems can detect anomalies and potential cyberattacks with unparalleled accuracy, bolstering defenses against malicious actors.

Within the realm of AI, Artificial Neural Networks (ANN) and Deep Learning (DL) play pivotal roles in enhancing cybersecurity measures. These advanced algorithms enable systems to autonomously adapt and learn from new cyber threats, continuously improving their efficacy over time. Moreover, AI hardware optimization ensures efficient processing of sensor data from diverse sources, including IoT devices and 5G networks.

As organizations transition towards cloud-based infrastructures, ensuring Cloud Security becomes paramount. AI-driven solutions provide comprehensive protection by monitoring network traffic, detecting vulnerabilities, and implementing preemptive measures to thwart cyber threats.

Wi-Fi 6 and endpoint security solutions further fortify defenses against potential breaches, while Unified Threat Management (UTM) platforms offer centralized oversight and control across diverse security measures. In addition, advancements in speech and vision recognition technologies enable enhanced surveillance and threat detection capabilities.

Leading cybersecurity firms like Wipro Limited are at the forefront of developing AI-driven solutions tailored to the specific needs of businesses. By collaborating with regulatory bodies such as the Federal Trade Commission (FTC) and renowned think tanks like the Center for Strategic and International Studies (CSIS), these companies ensure compliance with evolving cybersecurity regulations and best practices.

One of the most critical applications of AI in cybersecurity lies in fraud detection and anti-fraud measures. By leveraging ML algorithms and neural networks, organizations can proactively identify and mitigate fraudulent activities, safeguarding financial assets and customer trust.

In conclusion, the convergence of AI and cybersecurity represents a paradigm shift in the battle against cyber threats. As adversaries evolve, embracing AI-driven solutions is imperative to stay ahead and safeguard critical assets in an increasingly digitized world. View PDF sample 

Related Reports:

Artificial Intelligence based Personalization Market by Application, Technology, and Geography – Forecast and Analysis 2023-2027: The artificial intelligence-based personalization market is estimated to grow at a CAGR of 20.45% between 2022 and 2027. The size of the market is forecast to increase by USD 2,541.4 million. The high unsubscribe rate for mass marketing is notably driving the market growth, although factors such as lack of skilled resources and technological know-how impede the market growth.

Cloud Encryption Software Market by End-user, Type, and Geography – Forecast and Analysis 2023-2027: The cloud encryption software market is estimated to grow at a CAGR of 39.25% between 2022 and 2027. The size of the market is forecast to increase by USD 7,995.34 million. The increasing use of in-built cloud encryption solutions is notably driving the market growth, although factors such as the increasing adoption of BYOD may impede the market growth.

Table of Contents

1 Executive Summary
2 Landscape
3 Sizing
4 Historic Size
5 Five Forces Analysis
6 Segmentations
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Vendor Landscape
11 Vendor Analysis
12 Appendix

About US
Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Technavio Research
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SOURCE Technavio


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