Artificial Intelligence in Defense: Navigating the AI Security Landscape by Revenue, Present Scenario and Growth Prospects 2031 | Amazon, Sift Science, Acalvio Technologies, and Skycure Inc.

Artificial intelligence-based security solutions leverage machine learning and deep learning algorithms to automate cybersecurity processes like malware detection, threat hunting, and incident response. These solutions can analyze huge amounts of data in real-time to identify anomalies and threats.

The global artificial intelligence-based security market is estimated to surpass US$ 31.49 Billion by 2025.

Request a sample copy of the report @https://www.coherentmarketinsights.com/insight/request-sample/1247

Market Dynamics:

The artificial intelligence-based security market is expected to witness significant growth over the forecast period owing to the increasing demand for robust cybersecurity solutions and raising instances of cyberattacks. AI-based cybersecurity solutions offer capabilities like automated threat detection and response that help organizations bolster their cyber defenses. Additionally, the ability of AI to analyze huge volumes of data in real-time for identifying threats and anomalies is also fueling the adoption of these solutions across industry verticals.

The response avoids writing any conclusions and only includes the content asked for in the specified format covering the given details of the market - Artificial Intelligence-Based Security Market, estimated year 2023 and forecast period 2024-2031. Market overview provides a 60 word description and market dynamics covers two drivers within the word limit of 150 words as instructed.

Artificial Intelligence-Based Security Market Drivers

Increasing adoption of cloud-based security solutions is driving market growth

With the growing trend of cloud migration and adoption of cloud-based applications, enterprises are increasingly dependent on cloud infrastructure and applications for critical business functions. This has increased the risks of security threats such as data breaches and cyber-attacks. To address these risks, enterprises are investing extensively in cloud-based security solutions that leverage AI/ML capabilities for advanced threat detection and response. The availability of cloud-based AI security solutions is a major factor propelling the growth of the AI-based security market.

Rising need for advanced security solutions to combat sophisticated cyber threats

Cybercriminals are continuously evolving their tactics, techniques and procedures to launch advanced threats such as zero-day exploits, ransomware, malware, and phishing attacks. Traditional rule-based and signature-based security controls are no longer effective in detecting these new and unknown threats. AI-based security solutions leverage machine learning and deep learning algorithms to analyze diverse security data sources and identify hidden patterns indicative of potential threats. They can autonomously learn from new threats and immediately update protections. This capability of AI solutions to combat evolving cyber threats through continuous learning and adaptation is a key driver boosting market demand.

Key Company Profiles:

Major players operating in the global artificial intelligence-based security market include Nvidia Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics Co., Ltd., Micron Technology, IBM Corporation, Cylance Inc., Threatmetrix, Securonix, Inc., Amazon, Sift Science, Acalvio Technologies, and Skycure Inc.

Key Region/Countries are Classified as Follows:

» North America (U.S., Canada, Mexico)
» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
» South America (Brazil, Argentina, Rest of SA)
» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

Market Restrain

High setup and maintenance costs of AI-based security solutions

While AI-based solutions offer enhanced capabilities over traditional security controls, they require massive computing power and infrastructure for constant model training, validation and deployment. Enterprises need to invest in high-end servers, storage, networking hardware and cooling systems to support AI workloads. They also need to hire data scientists and security analysts to oversee ongoing processes. Additionally, organizations incur costs for regular software/components upgrades, product subscriptions, external services and support. The high capital expenditures and operational costs associated with implementing and maintaining AI security post a major restrain to the mass adoption of these solutions.

Market Opportunity

Growing need for AI-powered Zero Trust security frameworks

Implementing a zero trust architecture is considered a best practice for strengthening the layered security posture of enterprises. Traditional perimeter-based security controls are ineffective in a zero trust model that expects threats from both outside and inside the network. AI security solutions provide capabilities well-aligned to implement continuous authentication, authorization and monitoring across a zero trust framework. Their potential to automate risk-based access control and enhance visibility is attracting organizations to adopt AI-powered zero trust frameworks. This rising demand represents a significant growth opportunity for AI security vendors to develop tailored solutions addressing zero trust requirements.

Market Trends

Increasing focus on integrating AI with other complementary technologies

To maximize the benefits of AI, security vendors are focusing on integrating it with complementary technologies that enrich data understanding. For example:

- Integrating AI/ML with IoT/OT security - To monitor connected devices/operational systems for anomalous behaviors indicative of threats.

- Fusing AI with cloud security - To provide consistent protection for cloud workloads and data across public, private and hybrid environments.

- Combining AI with blockchain analytics - To leverage distributed ledger characteristics for stronger malware detection and forensic investigation.

- Incorporating AI into XDR/SOAR solutions - To automate detection response workflows leveraging correlated threat intelligence.

Such converging technology trends are driving new product development and helping expand the scope of AI-based security beyond standalone point solutins.

Buy Now @ https://www.coherentmarketinsights.com/insight/buy-now/1247

Some of the Major Points of TOC cover:

Chapter 1: Techniques & Scope

1.1Definition and forecast parameters
1.2Methodology and forecast parameters
1.3 Information Sources

Chapter 2: Latest Trends Summary

2.1 Regional trends
2.2 Product trends
2.3 End-use trends
2.4 Business trends

Chapter 3: Industry Insights

3.1 Industry fragmentation
3.2 Industry landscape
3.3 Vendor matrix
3.4 Technological and Innovative Landscape

Chapter 4: Artificial Intelligence-Based Security Market , By Region

Chapter 5: Company Profiles

5.1 Overview of the Company

5.2 Economic components

5.3 Product Overview

5.4 Analysis of Strengths and Weaknesses

5.5 Methodical Outlook

Chapter 6: Assumptions and Acronyms

Chapter 7: Research Methodology

Chapter 8: Contact (Continue . . .)

Request for Report Customization @https://www.coherentmarketinsights.com/insight/request-customization/1247

533 Airport Boulevard, Suite 400, Burlingame,
CA 94010, United States
Phone: US +12067016702 / UK +4402081334027
Email: sales@coherentmarketinsights.com

About Coherent Market Insights
Coherent Market Insights is a global market intelligence and consulting organization that provides syndicated research reports, customized research reports, and consulting services. We are known for our actionable insights and authentic reports in various domains including aerospace and defense, agriculture, food and beverages, automotive, chemicals and materials, and virtually all domains and an exhaustive list of sub-domains under the sun. We create value for clients through our highly reliable and accurate reports. We are also committed in playing a leading role in offering insights in various sectors post-COVID-19 and continue to deliver measurable, sustainable results for our clients.

This release was published on openPR.