AI in Cybersecurity Market Size

The increasing trend of adoption of IoT, tremendous growth in connected devices & vulnerability of Wi-Fi networks to security threats are driving market growth.

PORTLAND, PORTLAND, OR, UNITED STATE, September 20, 2023/EINPresswire.com/ -- Allied Market Research published a new report, titled, " The AI in Cybersecurity Market Reach to USD 154.8 Billion by 2032 | Top Players such as - NVIDIA, Micron & AWS." The report offers an extensive analysis of key growth strategies, drivers, opportunities, key segment, Porter’s Five Forces analysis, and competitive landscape. This study is a helpful source of information for market players, investors, VPs, stakeholders, and new entrants to gain thorough understanding of the industry and determine steps to be taken to gain competitive advantage.

The global AI in cybersecurity market was valued at USD 19.2 billion in 2022, and is projected to reach USD 154.8 billion by 2032, growing at a CAGR of 23.6% from 2023 to 2032.

Request Sample Report (Get Full Insights in PDF – 293 Pages) at: https://www.alliedmarketresearch.com/request-sample/185892

The global AI in cybersecurity market growth is attributed to factors such as the rise in demand for enhanced security solutions, the increasing number of cyber-attacks in several industries, and the rising adoption of digitalization in security solutions. However, the high implementation cost of AI in cybersecurity solutions, and the dearth of skilled cybersecurity experts and education hamper market growth. Furthermore, increasing investments and innovation strategies and the surge in demand for real-time threat detection is anticipated to provide lucrative growth opportunities for the global AI in cybersecurity market in the upcoming years.

The AI in cybersecurity market is segmented into offering, deployment mode, security type, technology industry vertical, and region. By offering, it is bifurcated into hardware, software and service. By deployment mode, it is divided into on-premises and cloud. By security type, it is categorized into network security, endpoint security, application security, and cloud security. By technology, it is segregated into machine learning (ML), natural language processing (NLP), and content-aware computing. By industry vertical, the market is classified into BFSI, retail and e-commerce, healthcare, automotive & transportation, government and defense, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

If you have any questions, Please feel free to contact our analyst at: https://www.alliedmarketresearch.com/connect-to-analyst/185892

Based on security type, the network security segment held the highest market share in 2022, accounting for nearly two-fifths of the global AI in cybersecurity market revenue, and is projected to rule the roost by 2032. Machine learning in security continually learns by examining data to locate trends, enabling users to more effectively detect malware in encrypted communications and identify insider risks. However, the cloud security segment is projected to manifest the highest CAGR of 27.4% from 2023 to 2032. The increasing demand for effective cloud-based cybersecurity to protect customer privacy is further expected to propel global market growth.

Based on technology, the machine learning (ML) segment held the highest market share in 2022, accounting for more than half of the global AI in cybersecurity market revenue, and is estimated to maintain its leadership status throughout the forecast period. Machine learning in security continually learns by examining data to locate trends, enabling users to more effectively detect malware in encrypted communications and identify insider risks. However, the context-aware computing segment is projected to manifest the highest CAGR of 27.1% from 2023 to 2032. The increasing demand for effective cloud-based cybersecurity to protect customer privacy is further expected to propel global market growth.

Enquiry Before Buying: https://www.alliedmarketresearch.com/purchase-enquiry/185892

Based on region, North America garnered the major market share in 2022, holding nearly two-fifths of the global AI in cybersecurity market revenue. The region's robust industrial sector, including manufacturing, automotive, and logistics, has been an early adopter of AI in cybersecurity that is anticipated to propel the growth of the market, which is further anticipated to propel the growth of the market in this region. However, the Asia-Pacific region is expected to maintain its dominance during the forecast period. The same region would also cite the fastest CAGR of 27.7% from 2023 to 2032.

The market players operating in the AI in cybersecurity market analysis are Intel Corporation, IBM Corporation, NVIDIA Corporation, Samsung Electronics Co. Ltd., Amazon Web Services, Inc., Palo Alto Networks, Inc., Microsoft Corporation, Cisco Systems, Inc., Micron Technology Inc., and Gen Digital Inc.

Buy Now & Get Exclusive Discount on this Report (293 Pages PDF with Insights, Charts, Tables, and Figures) at:
https://www.alliedmarketresearch.com/ai-in-cybersecurity-market/purchase-options

COVID-19 Scenario:

● The COVID-19 pandemic had a significant impact on the global AI in cybersecurity industry. The increasing adoption of real-time threat detection solutions in security operations has proliferated the demand for AI in cybersecurity market. It is the key to optimizing cyber security processes with the integration of advanced technologies such as AI, ML, and including cloud solutions.

● Furthermore, there is a rise in the need for proactive and prompt threat identification and response in organizations, as cyber-attacks expand and become more complex and prevalent. Leveraging automation trends and the use of smart data in security solutions could lead to advanced real-time threat protection. These factors have propelled the growth of AI in cybersecurity solutions among industries.

Thanks for reading this article, you can also get an individual chapter-wise section or region-wise report versions like North America, Europe, or Asia.

If you have any special requirements, please let us know and we will offer you the report as per your requirements.

Lastly, this report provides market intelligence most comprehensively. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision-making for the existing market players as well as those willing to enter the market.

About Us:

Allied Market Research (AMR) is a market research and business-consulting firm of Allied Analytics LLP, based in Portland, Oregon. AMR offers market research reports, business solutions, consulting services, and insights on markets across 11 industry verticals. Adopting extensive research methodologies, AMR is instrumental in helping its clients to make strategic business decisions and achieve sustainable growth in their market domains. We are equipped with skilled analysts and experts and have a wide experience of working with many Fortune 500 companies and small & medium enterprises.

Pawan Kumar, the CEO of Allied Market Research, is leading the organization toward providing high-quality data and insights. We are in professional corporate relations with various companies. This helps us dig out market data that helps us generate accurate research data tables and confirm utmost accuracy in our market forecasting. Every data company in the domain is concerned. Our secondary data procurement methodology includes deep presented in the reports published by us is extracted through primary interviews with top officials from leading online and offline research and discussion with knowledgeable professionals and analysts in the industry.

David Correa
Allied Analytics LLP
+1 800-792-5285
email us here
Visit us on social media:
Facebook
Twitter
LinkedIn

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.