Global Artificial Intelligence in Cybersecurity Market Research Report to 2027 - Players Include Cylance, Darktrace, Deep Instinct and Feedzai - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Cybersecurity Market Research Report by Function, Type, Technology, Industry, Deployment, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence in Cybersecurity Market size was estimated at USD 11.35 billion in 2021, USD 13.98 billion in 2022, and is projected to grow at a CAGR 23.27% to reach USD 39.87 billion by 2027.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Cybersecurity Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Artificial Intelligence in Cybersecurity Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Cybersecurity Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Cybersecurity Market?

4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Cybersecurity Market?

5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Cybersecurity Market?

6. What is the market share of the leading vendors in the Global Artificial Intelligence in Cybersecurity Market?

7. What modes and strategic moves are considered suitable for entering the Global Artificial Intelligence in Cybersecurity Market?

Market Dynamics

Drivers

• Need to adapt to changing threats landscape from growing adoption of IoT and an increasing number of connected devices
• Need to handle huge volumes of security data and accelerate detection and response times
• Constantly increasing cyber terrorism

Restraints

• Inability of AI to restrict advance threats and zero-day attacks
• Rapidly increasing instances of data poisoning attacks

Opportunities

• AI featured security products to reduce false alerts, make investigations more efficient, and aid speed up the discovery of and response to cyber attacks

Challenges

• Evolving nature of cyber-attacks
• Budgetary Constraints

Companies Mentioned

• Acalvio Technologies, Inc.
• Amazon.com, Inc.
• Argus Cyber Security
• Bitsight Technologies
• Cylance, Inc.
• Darktrace Limited
• Deep Instinct
• Feedzai S.A.
• Fortscale Security, Inc.
• High-Tech Bridge
• Indegy Ltd.
• Intel Corporation
• International Business Machines Corp.
• Micron Technology, Inc.
• Nozomi Networks
• NVIDIA Corporation
• Samsung Electronics Co., Ltd.
• Securonix, Inc.
• Sentinelone Inc.
• Sift Science Inc.
• Skycure Ltd.
• SparkCognition Inc.
• Threatmetrix, inc.
• Vectra Networks
• Xilinx, Inc.
• Zimperium, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/n1rgh8