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Summary
Data breaches and cybersecurity have grown significantly in the past few years. The increase in big data, continuous innovation in machine learning (ML) methods, enhanced improvements in computing power, and artificial intelligence (AI) technologies such as natural language processing, voice recognition, and image recognition have become universal. Meanwhile, AI has advantages as well as disadvantages. It provides computer and network security and can be used to detect the network, malware, and other threats.
The global AI Security market size is anticipated to cross USD 24 billion by 2025. This can be attributed to the increase in the adoption of IoT devices and cloud-based services are the major factor driving the market growth for AI security. In addition, the growing use of mobile devices and rising malware attacks, and an increase in the need to reduce time and costs for threat detection are also some of the key factors fueling the demand for AI security solutions and services.
The increase in investments and support by the government and organizations in the AI and related technologies are also fueling the growth of the overall AI security market. For instance, China, UAE, India, and other countries are investing in AI technologies to develop advanced AI capabilities. For instance, the United Arab Emirates has created a university called “Mohammed bin Zayed University of Artificial Intelligence (MBZUAI)” for AI development.
Key Segments of the Global AI Security
Component Overview, 2018-2025, (USD Billion)
Applications Overview, 2018-2025, (USD Billion)
Industry Vertical Overview, 2018-2025, (USD Billion)
Regional Overview, 2018-2025, (USD Billion)
Reasons for the study
What does the report include?
Who should buy this report?
This study is suitable for industry participants and stakeholders in the global AI Security. The report will benefit:
With the emergence of the internet of things (IoT) and changing digitization landscape, the organizations are experiencing numerous benefits and facing issues as well. The technological advancements have brought various advantages and enhanced business efficiencies and processes. However, at the same time, it is impacting businesses negatively. The rising systems complexities and security issues are the key reasons behind the negative effects of technology.
However, the scenario has been changing due to the advancements in artificial intelligence (AI) technologies. Various major players operating in the Information & Communication Technology (ICT) sector are investing heavily in R&D of artificial intelligence (AI) and machine learning (ML) technologies, as the demand from large as well as small & medium enterprises is rising for AI-enabled solutions. Moreover, many organizations are deploying surveillance cameras to monitor premises and surroundings, therefore, adopting continuous monitoring policies. In turn, with such continuous monitoring, organizations security teams have to deal with huge quantities of operational data which further creates inefficiency for the other business processes. Hence, cybersecurity professionals and organizations are adopting AI and ML-enabled security solutions to deal with such issues.
Component Segment
On the basis of components, the market is categorized into platforms and services. Platform segment dominated the overall AI Security which occupied a 71% share in 2019 and is expected to maintain its position over the forecast period 2020-2025. An increase in demand from enterprises and numerous industry verticals to enhance their business agility by securing their business data and information is the key factor fuelling the demand for AI Security platforms.
Applications Segment
On the applications, the market is bifurcated into identity and access management, unified threat management, antivirus/antimalware, risk and compliance management, fraud detection, and others. In 2019, the market for identity and access management was valued at 1.56 billion and is expected to grow at a considerable rate over the forecast period.
Industry Vertical Segment
On the basis of industry vertical, the market is segmented into BFSI, retail, IT & telecommunication, automotive & transportation, manufacturing, government & defense, and others. In 2019, the IT & Telecommunication industry had the highest revenue and it is anticipated to dominate the AI security market throughout the forecast period.
On the geographical front, North America dominated the global AI security market in 2019 and is expected to do so over the forecast period 2020–2025. Factors such as The presence of major market players such as Google, IBM, Amazon, and others are the major factor driving the market growth in this region. In addition, In addition, increase in adoption of the AI Security solutions among the users to counter some serious threats such as ransomware, malware, and others is also contributing to the market growth in this region.
The Asia-Pacific market is expected to have the fastest growth with 32.1% CAGR over the forecast period. The growth of this segment is mainly attributed to the booming penetration of smartphones and the swelling number of internet users is the major factor contributing to the market growth in this region. In addition, an increase in the need to meet the requirements of modern application development is also one of the major factors fuelling the demand for AI security in Asia-Pacific.
The major players of the global AI security market are Amazon.Com, Inc., Fortinet, Google (Alphabet Inc.), IBM Corporation, Intel Corporation, Micron Technology Inc., Nvidia Corporation, Palo Alto Networks Inc., Samsung Electronics Co., Ltd., Symantec. Moreover, the other potential players in the AI security market are, Acalvio Technologies, Inc., Cylance Inc., Darktrace, Securonix, Inc., Sift Science, Sparkcognition Inc., Threatmetrix Inc., Xilinx Inc. As of 2019, the market for AI security is consolidated with the presence of established global and domestic players across the globe. Moreover, the established companies are coming up with new strategies and innovative AI security solutions. For instance, Amazon announced the launch of Amazon Fraud Detector in its Invent 2019 conference held in Las Vegas. Amazon Fraud Detector leverages machine learning and AI to detect potential online frauds such as fake accounts and online payment frauds.
Summary
Data breaches and cybersecurity have grown significantly in the past few years. The increase in big data, continuous innovation in machine learning (ML) methods, enhanced improvements in computing power, and artificial intelligence (AI) technologies such as natural language processing, voice recognition, and image recognition have become universal. Meanwhile, AI has advantages as well as disadvantages. It provides computer and network security and can be used to detect the network, malware, and other threats.
The global AI Security market size is anticipated to cross USD 24 billion by 2025. This can be attributed to the increase in the adoption of IoT devices and cloud-based services are the major factor driving the market growth for AI security. In addition, the growing use of mobile devices and rising malware attacks, and an increase in the need to reduce time and costs for threat detection are also some of the key factors fueling the demand for AI security solutions and services.
The increase in investments and support by the government and organizations in the AI and related technologies are also fueling the growth of the overall AI security market. For instance, China, UAE, India, and other countries are investing in AI technologies to develop advanced AI capabilities. For instance, the United Arab Emirates has created a university called “Mohammed bin Zayed University of Artificial Intelligence (MBZUAI)” for AI development.
Key Segments of the Global AI Security
Component Overview, 2018-2025, (USD Billion)
Applications Overview, 2018-2025, (USD Billion)
Industry Vertical Overview, 2018-2025, (USD Billion)
Regional Overview, 2018-2025, (USD Billion)
Reasons for the study
What does the report include?
Who should buy this report?
This study is suitable for industry participants and stakeholders in the global AI Security. The report will benefit:
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.1.1 Increasing adoption of IoT devices and cloud-based services
4.3.1.2 The growing use of mobile devices and rising malware attacks-
4.3.1.3 Increase in need to reduce time and costs for threat detection-
4.3.2 Market Restraints
4.3.2.1 Lack of skillful resources-
4.3.3 Market opportunities
4.3.3.1 Increasing stringent laws and regulations imposed by the government-
4.4 Porter’s Five Forces Analysis
4.5 PEST Analysis
Chapter 5 AI Security Market by Component
5.1 Introduction
5.1.1 Platform
5.1.2 Services
Chapter 6 AI Security Market by Application
6.1 Introduction
6.1.1 Identity and access management
6.1.2 Unified threat management
6.1.3 Antivirus/Antimalware
6.1.4 Risk and compliance management
6.1.5 Fraud detection
6.1.6 Others
Chapter 7 AI Security Market by Industry Vertical
7.1 Introduction
7.1.1 BFSI
7.1.2 Retail
7.1.3 IT & Telecommunication
7.1.4 Automotive & Transportation
7.1.5 Manufacturing
7.1.6 Government & Defence
7.1.7 Others
Chapter 8 AI Security Market By Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.3 Europe
8.3.1 Germany
8.3.2 France
8.3.3 UK
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Middle East & Africa
8.5.1 UAE
8.5.2 South Africa
8.5.3 MEA
8.6 South America
8.6.1 Brazil
8.6.2 Argentina
8.6.3 Rest of South America
Chapter 9 Competitive Landscape
9.1 Overview
9.2 Strategic Initiatives
9.2.1 Mergers & Acquisitions
9.2.2 New Product Launch
9.2.3 Investments
9.2.4 Expansion
9.2.5 Others
Chapter 10 Company Profiles
10.1 Amazon.Com, Inc.
10.1.1 Overview
10.1.2 Products and Services Portfolio
10.1.3 Recent Initiatives
10.1.4 Company Financials
10.1.5 SWOT
10.2 Fortinet, Inc.
10.2.1 Overview
10.2.2 Products and Services Portfolio
10.2.3 Recent Initiatives
10.2.4 Company Financials
10.2.5 SWOT
10.3 Google (Alphabet Inc.)
10.3.1 Overview
10.3.2 Products and Services Portfolio
10.3.3 Recent Initiatives
10.3.4 Company Financials
10.3.5 SWOT
10.4 IBM Corporation
10.4.1 Overview
10.4.2 Products and Services Portfolio
10.4.3 Recent Initiatives
10.4.4 Company Financials
10.4.5 SWOT
10.5 Intel Corporation
10.5.1 Overview
10.5.2 Products and Services Portfolio
10.5.3 Recent Initiatives
10.5.4 Company Financials
10.5.5 SWOT
10.6 Micron Technology Inc.
10.6.1 Overview
10.6.2 Products and Services Portfolio
10.6.3 Recent Initiatives
10.6.4 Company Financials
10.6.5 SWOT
10.7 Nvidia Corporation
10.7.1 Overview
10.7.2 Products and Services Portfolio
10.7.3 Recent Initiatives
10.7.4 Company Financials
10.7.5 SWOT
10.8 Palo Alto Networks Inc.
10.8.1 Overview
10.8.2 Products and Services Portfolio
10.8.3 Recent Initiatives
10.8.4 Company Financials
10.8.5 SWOT
10.9 Samsung Electronics Co., Ltd.
10.9.1 Overview
10.9.2 Products and Services Portfolio
10.9.3 Recent Initiatives
10.9.4 Company Financials
10.9.5 SWOT
10.10 Symantec
10.10.1 Overview
10.10.2 Products and Services Portfolio
10.10.3 Recent Initiatives
10.10.4 Company Financials
10.10.5 SWOT
10.11 Other Companies
10.11.1 Acalvio Technologies, Inc.
10.11.1.1 Overview
10.11.2 Cylance Inc.
10.11.2.1 Overview
10.11.3 Darktrace
10.11.3.1 Overview
10.11.4 Securonix, Inc.
10.11.4.1 Overview
10.11.5 Sift Science
10.11.5.1 Overview
10.11.6 Sparkcognition Inc.
10.11.6.1 Overview
10.11.7 LexisNexis Risk Solutions
10.11.7.1 Overview
10.11.8 Xilinx Inc.
10.11.8.1 Overview
Chapter 11 Appendix
11.1 Primary Research Approach
11.1.1 Primary Interview Participants
11.1.2 Primary Interview Summary
11.2 Questionnaire
11.3 Related Report List
11.4 Published
11.5 Upcoming