According to the Market Statsville Group (MSG), the global AI for Cybersecurity Market size is expected to grow from USD 13,248.6 million in 2021 to USD 83,516.6 million by 2030, at a CAGR of 22.7% from 2022 to 2030. A human being may be unable to measure and analyze all the threats a business faces. Public, private, or government firms witness hundreds and millions of data breaches or virus attacks with different goals every year. These threats can cause significant damage to a network. With malware getting more intelligent day by day, there is a need for artificial intelligence and machine learning techniques to counter-attack such malicious software. Both antivirus and anti-malware fall under the broader term "cybersecurity".

Furthermore, the growing adoption of AI-based cybersecurity solutions among SMEs forms new growth opportunities for vendors in the AI in the cybersecurity market.

Global AI for Cybersecurity Market Definition

The adoption of artificial intelligence (AI) in the cybersecurity market ecosystem assists organizations in monitoring, detecting, reporting, and countering cyber threats while maintaining data security. AI and its applications enable users to protect any system by sending real-time alerts that can be used to mitigate risk. In addition to the financial and banking sectors, healthcare, aerospace and defense, and automotive are major users of these security solutions.

COVID-19 Impact on the Global AI for Cybersecurity Market

The COVID-19 pandemic wreaked havoc on several economies and businesses around the world. Governments all over the world have closed manufacturing plants, retail stores, and import-export operations, disrupting overall supply chains and affecting demand and supply balances. As employees are allowed to do their work from home, there is a rise in the number of data thefts, ransomware attacks, and data breaches across organizations. Reliance on remote access systems makes organizations more vulnerable to distributed denial of service (DDOS) and phishing attacks. Artificial intelligence integration in cybersecurity benefits data centers, cloud systems, and digital devices, so artificial intelligence in cybersecurity is in high demand in the forecast period.

Scope of the Global AI for Cybersecurity Market

The study categorizes the AI for cybersecurity market based on security type, service type, deployment, application, end-user, and technology at the regional and global levels.

By Security Type (Revenue, USD Million, 2017-2030)

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

By Deployment Type (Revenue, USD Million, 2017-2030)

• Cloud
• On-Premise

 By Application (Revenue, USD Million, 2017-2030)

• Businesses
• Individual

By End-User (Revenue, USD Million, 2017-2030)

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

By Technology (Revenue, USD Million, 2017-2030)

• Machine Learning
• Natural Language Processing
• Context-Aware Computing

By Region Outlook (Revenue, USD Million, 2017-2030)

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • Italy
  • France
  • UK
  • Spain
  • Poland
  • Russia
  • Slovenia
  • Slovakia
  • the Netherlands
  • Belgium
  • Norway
  • Denmark
  • Czech Republic
  • Sweden
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Malaysia
  • Thailand
  • Vietnam
  • The Philippines
  • Singapore
  • Australia & New Zealand
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Colombia
  • Rest of South America
• The Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Northern Africa
  • Rest of MEA

The cloud segment is witnessed to account for the highest market share, by deployment

Based on the deployment, the global AI for cybersecurity market is divided into the on-premise cloud. The cloud segment has witnessed the highest market share in 2021 due to the rising demand for applications that can store and secure data using advanced security techniques. This enables the customer to migrate their workloads to the cloud platform, which provides enhanced security. The cloud segment is expected to grow considerably due to the rising demand for managed security services.

North America accounts for the highest CAGR during the forecast period

Globally, North America is estimated to hold the highest CAGR in the global AI for cybersecurity market during the forecast period. The region includes the countries such as the US, Canada, and Mexico. North America is expected to hold the highest share due to the presence of major players along with several emerging startups in the region.

Asia-Pacific is expected to grow exponentially during the forecast period. During the forecast period, countries such as India, China, and Korea are expected to grow at a rapid rate. The growth is attributed to the increasing number of service providers and the growing investment by the government and foreign investors in various security projects.

Key Market Players in the Global AI for Cybersecurity Market

The AI for cybersecurity market is mildly concentrated in nature, with few numbers of global players operating in the market, such as:   

• NVIDIA Corporation 
• Intel Corporation 
• Xilinx Inc. 
• Samsung Electronics Co., Ltd (South Korea),
• Micron Technology, Inc. 
• IBM Corporation 
• Amazon Web Services, Inc. 
• Darktrace
• Cylance Inc. 
• Vectra AI, Inc. 
• ThreatMetrix Inc. 
• Securonix Inc. 
• Fortinet, Inc.
• Acalvio Technologies 
• SparkCognition Inc. 
• Palo Alto Networks Inc.

Recent Developments

• In May 2022, Intel launched the Gaudi2 processor for AI deep learning, which helps customers with AI training in data centers. Gaudi2 showed nearly double the performance in computer vision and natural processor throughput of Nvidia’s A100 80 GB processor. Its maximum power consumption is 600 watts, up from 350 watts in the first version.
• In September 2021, In order to monitor and address cyberthreats to the Industrial Internet of Things, Siemens Energy introduced a new solution (IIoT). The dubbed Eos.ii is a combination of AI and ML that collects data flow from IIoT endpoints for security purposes.

Key Issues Addressed

• What is the market size by various segmentation of the AI for cybersecurity by region and its respective countries?
• What are the customer buying behavior, key takeaways, and Porter's 5 forces of the AI for cybersecurity market?
• What are the key opportunities and trends for manufacturers involved in the AI for cybersecurity supply chain?
• What are the fundamental dynamics (drivers, restraints, opportunities, and challenges) of the market?
• What and how regulations, schemes, patents, and policies are impacting the growth of the market?
• What are the upcoming technological solutions influencing market trends? How will existing companies adapt to the new change in technology?
• The market player positioning, top winning strategies by years, company product developments, and launches will be?
• How has COVID-19 impacted the demand and sales of AI for cybersecurity in the global market? Also, the expected BPS drop or rise count of the market and market predicted recovery period.
• Detailed analysis of the competitors and their latest launch, and what are the prominent startups introduced in the target market? Also, detailed company profiling of 25+ leading and prominent companies in the market.