Artificial Intelligence in Security Market- Global Opportunity Analysis and Industry Forecast (2020-2027)
Meticulous Research® – leading global market research company studying report titled “Artificial Intelligence in Security Market by Offering (Hardware, Software, Service), Security Type (Network Security, Application Security), Technology (Machine Learning, NLP, Context Awareness), Solution, End-User, and Region - Global Forecast to 2027’’.
According to this
latest publication from Meticulous Research®, Artificial Intelligence in
Security Market will increase at a CAGR of 22.9% from 2019 to 2027 to exceed
market revenue beyond $50 billion by 2027. IoT combines connectivity with
sensors, devices, and people, enabling a form of free-flowing conversation
between man & machine and software & hardware. Whereas, AI is expected
to make a huge impact on the economy by transforming enterprises into digital
businesses and facilitating new business models, improving efficiency, and
increasing employee-customer engagement and cybersecurity. Artificial
intelligence power with IOT connectivity is used to protect and secure the
network connecting IoT devices to back-end systems on the Internet. AI in
security authenticates an IoT device by managing multiple users of a single
device platform. Moreover, it ranges from simple pins or static password to
more robust authentication mechanisms such as digital certificates, biometrics,
and two-factor authentication. AI also aids in connecting the physical and
digital world by tracking objects, collect data, analyze it, and take required
action. Modern security AI can monitor activities of an object along with its
progress in a specific time period. According to the Internet Crime Complaint
Center (IC3), in 2016, cybercrimes resulted in losses of over $1.33 billion,
globally. Such exponential loss is expected to propel the demand for security
solutions, thus propelling the growth of the artificial intelligence in
security market significantly.
The artificial
intelligence in security market study presents historical market data in terms
of value (2017 and 2018), estimated current data (2019), and forecasts for 2027
- by offering, security type, technology, solution, and end-user. The study
also evaluates industry competitors and analyzes the market at regional and
country level.
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Artificial Intelligence in Security Market Segmentation:
AI
in Security Products
·
Hardware
·
Software
·
Services
AI
in Security Types
·
Endpoint Security
·
Network Security
·
Application
Security
·
Cloud Security
AI
in Security Technologies
·
Machine Learning
·
Natural Language
Processing (NLP)
·
Context Awareness
Computing
AI
in Security Solutions
·
Identity and Access
Management (IAM)
·
Risk and Compliance
Management
·
Encryption
·
Data Loss Prevention
(DLP)
·
Unified Threat
Management (UTM)
·
Antivirus/Antimalware
·
Intrusion
Detection/Prevention System (IDS/IPS)
·
Others
AI
in Security End-Users
·
Enterprise
·
BFSI
·
Government & Defense
·
Retail
·
Healthcare
·
Manufacturing
·
Automotive &
Transportation
·
Infrastructure
·
Others
AI
in Security Segmentation by Geography
·
North America
o U.S.
o Canada
o Mexico
·
Europe
o Germany
o U.K.
o France
o Italy
o Spain
o Rest of Europe
·
Asia-Pacific
o China
o Japan
o South Korea
o India
o Australia
o Rest of APAC
·
Rest of the World
o Latin America
o Middle East & Africa
Key
Players of AI in Security Market
·
Acalvio Technologies,
Inc.
·
Com, Inc.
·
Cylance Inc.
·
Darktrace Limited
·
IBM Corporation
·
Intel Corporation
·
Micron Technology
·
Nvidia Corporation
·
Samsung
Electronics Co., Ltd.
·
Securonix, Inc.
·
Sift Science
·
Skycure Inc.
·
Sparkcognition
·
Threatmetrix
·
Xilinx Inc.
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Application Security Segment to Witness Fastest Growth through 2027
Based on security type,
the market is segmented into endpoint security, network security, application
security, and cloud security. In 2018, endpoint security accounted for the
largest share of the global artificial intelligence in security market. The
large share of this segment is attributed to the rapidly increasing number of
connected devices worldwide. However, application security segment is expected
to register the highest growth rate since many organizations have started using
large number of applications for their business operations that are needed to
be secured from threats.
Machine Learning to Provide Significant Growth Opportunities
Based on technology,
the artificial intelligence in security market is segmented into machine
learning, Natural Language Processing (NLP), and context awareness computing.
Machine learning segment is expected to witness rapid growth during the
forecast period, owing to its ability to collect and handle big data and
quickly scan, parse, and react to anomalies. Machine learning can also help
operators reverse engineer attacks to make improvements to their systems, by
addressing and preventing attacks before they happen.
Asia-Pacific: The Fastest Growing Regional Market
North America commanded
the largest share of the global artificial intelligence in the security market
in 2018, followed by Asia-Pacific, Europe, Latin America, and Middle East &
Africa. However, Asia-Pacific is the fastest growing regional market due to the
increasing incidents of cyberattacks and growing cyber-war; rising concerns
about data security; rapid adoption of cybersecurity solutions and machine
learning; high adoption of advanced technologies, such as IoT, big data
analytics, and cloud computing; and increasing number of 5G pilot projects in
the region.
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sKey Players in the Artificial Intelligence in Security Market
The report includes an
extensive assessment of the key strategic developments adopted by leading
market participants in the industry over the past 4 years (2016-2019). For
instance, in June 2018, ThreatMetrix has launched a new risk engine API
specifically to support 3DS 2.0 environments, enhancing risk-based decisions
for card-not-present transactions.
The major players
operating in the global artificial intelligence in security market are Acalvio
Technologies, Inc. (U.S.), Amazon.Com, Inc. (U.S.), Cylance Inc. (U.S.),
Darktrace Limited (U.K), IBM Corporation (U.S.), Intel Corporation (U.S.),
Micron Technology (U.S.), Nvidia Corporation (U.S.), Samsung Electronics Co.,
Ltd. (South Korea), Securonix, Inc. (U.S.), Sift Science (U.S.), Skycure Inc.
(U.S.), Sparkcognition Inc. (U.S.), Threatmetrix Inc. (U.S.), and Xilinx Inc.
(U.S.).
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