Global Artificial Intelligence in Cybersecurity Market is valued at approximately USD XXX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2029. Artificial Intelligence in Cybersecurity helps in monitoring and analyzing the associations between threats such as suspicious IP addresses, malicious files, or insiders within seconds or minutes. AI in cybersecurity provides customized risk analysis, cutting down on the time security professionals need to address risks and make important judgments. Factors such as increasing penetration of IoT and connected devices, rising instances of cyber threats, and growing concerns about data protection are the primary factors that are propelling the market growth across the globe.
As per the DataProt, in 2021, there was over 10 billion active Internet of Things devices reported 2021, and the number is expected to rise and approach 25.4 billion by 2030. Additionally, by 2025, IoT solutions are expected to produce USD 4 to 11 trillion in economic value. Therefore, the increasing adoption of Internet of Things devices is burgeoning the growth of Artificial Intelligence in the Cybersecurity Market globally. In addition, the rising vulnerability of wi-fi networks to security threats and the growing need for cloud-based security solutions among SMEs are offering lucrative prospects to the market over the forecasting years. However, the lack of interoperability with existing information systems and the inability of AI to stop zero-day and advanced threats are hindering stifles market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Artificial Intelligence in Cybersecurity Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America dominated the market in terms of revenue, owing to the growing investment in technological advancements and increasing data privacy concerns. Whereas, the Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising incidences of cyberattacks and the increasing number of favourable government initiatives bolstering the market growth in the impending years.
Major market players included in this report are:
Samsung Electronics Co., Ltd.
Micron Technology, Inc.
Amazon Web Services, Inc.
Vectra AI, Inc.
Recent Developments in the Market:
In 2019, NVIDIA declared the introduction of the Jetson Nano, an AI computer that creates it possible to make millions of intelligent systems. The CUDA-X AI computer presents 472 GFLOPS of computing performance for running modern AI workloads and is highly power-efficient, consuming as little as 5 watts.
In February 2019, Cylance launched its Cylance native AI platform to deliver a full suite of security solutions via a single, agile agent for complete attack surface protection with deep-learning Al algorithms in its DNA to support automated threat deterrence, detection, forensic investigation, and response capabilities to customers.
Global Artificial Intelligence in Cybersecurity Market Report Scope:
Historical Data: 2019-2020-2021
Base Year for Estimation: 2021
Forecast period: 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Offering, Security Type, Technology, End User, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define the market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study.
The report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the market's future growth. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Security Type:
Natural Language Processing
By End User:
Government & Defense
Automotive & Transportation
Rest of the World