The report "Artificial
Intelligence in Cybersecurity Market by Offering
(Hardware, Software, and Service), Deployment Type, Security Type, Technology
(ML, NLP, and Context-Aware), Application (IAM, DLP, and UTM), End User, and
Geography- Global Forecast to 2026", is projected to reach USD 38.2
billion by 2026 from USD 8.8 billion in 2019, at the highest CAGR of 23.3%.
Major drivers for the market’s growth are growing adoption of IoT and increasing
number of connected devices, rising instances of cyber threat, growing concerns
of data protection, and increasing vulnerability of Wi-Fi networks to security
threats. Furthermore, underlying opportunities for the AI in cybersecurity
market include growing need for cloud-based security solutions among SMEs, and
increased use of social media for business functions. Major restraints for the
market are inability of AI to stop zero-day and advanced threats and rise in
insider cyber threats. Limited number of cybersecurity and AI professionals,
and lack of interoperability with existing information systems pose major
challenges to the AI in cybersecurity market.
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Browse 68 market data Tables and 46
Figures spread through 229 Pages and in-depth TOC on Artificial
Intelligence in Cybersecurity Market
Cloud-based deployment type for AI in cybersecurity
to grow at higher CAGR during forecast period
Cloud deployment type is expected to grow at a higher rate during the
forecast period. Several businesses have already moved a part of their
operations to the cloud, which has led security vendors to develop cloud-based
solutions as the data to be protected is on the cloud. Migrating to the cloud
has benefits such as enhanced flexibility, control, and scalability. Cloud
deployment significantly reduces the capital investment that is required to
implement cybersecurity solutions; this is among the major reasons for the
increased demand for cloud-based cybersecurity from most enterprises.
Automotive and transportation to hold largest size
of AI in cybersecurity market during forecast period
Of all the types of end users, automotive and transportation to hold the
largest market size of the AI in cybersecurity market during the forecast
period. In the automotive industry, Big Data poses a significant problem with
connected car becoming more of a gadget than a purely physical product,
constantly synced and updated. It now produces huge amounts of data. Combining
machine learning with Big Data analytics presents an opportunity to make sense
of the huge volumes of valuable data collected from vehicles, servers, and
smart mobility services. Using machine learning, patterns of “normal” behavior
can serve as baselines to identify anomalies from cyber threats and policy
violations to vehicle and driver irregular behaviors.
North America is major contributor for AI in
cybersecurity and is expected to hold largest market size in next 5 years
North America is among the major contributors to the AI in cybersecurity
market, and the US accounted for the largest share of the market in North
America in 2018. The global AI in cybersecurity market is dominated by North
America as the region is an early adopter of AI. North America is an early
adopter of innovative technologies as banks, government agencies, and financial
institutes in this region face ever-increasing challenges related to cyber
threats. Therefore, advanced technologies are implemented to manage the cyber
security landscape. Moreover, several cybersecurity vendors are based in this
region, thereby contributing to the growth of the AI in cybersecurity market in
North America.
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NVIDIA Corporation (US), Intel Corporation (US), Xilinx Inc. (US),
Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM
Corporation (US), Amazon Web Services, Inc. (US), Darktrace (UK), Cylance
Inc. (US), Vectra AI, Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US),
Sift Science (US), Acalvio Technologies (US), SparkCognition Inc. (US), Palo
Alto Networks Inc. (US), and Symantec Corporation (US) are a few major
players in the AI in cybersecurity market
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