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Global Artificial Intelligence for Smart Cybersecurity Market Research Report 2025
Synopsis
Artificial intelligence has emerged as a great solution for buildingsmarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions.
The global Artificial Intelligence for Smart Cybersecurity market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.59%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Smart Cybersecurity, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Smart Cybersecurity.
Report Scope
The Artificial Intelligence for Smart Cybersecurity market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence for Smart Cybersecurity market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence for Smart Cybersecurity companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Intel
NVIDIA Corporation (US)
Xilinx Inc.
Samsung Electronics
Micron Technology
IBM Corporation
Amazon Web Services, Inc.
Darktrace
Cylance Inc.
Vectra AI, Inc.
ThreatMetrix Inc.
Securonix Inc.
Sift Science
Acalvio Technologies
SparkCognition Inc.
Palo Alto Networks Inc.
Symantec Corporation
Segment by Type
Hardware
Software
Services
Segment by Application
BFSI
Retail
IT & Telecommunication
Automotive & Transportation
Manufacturing
Government & Defence
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence for Smart Cybersecurity companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Artificial intelligence has emerged as a great solution for buildingsmarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions.
The global Artificial Intelligence for Smart Cybersecurity market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.59%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Smart Cybersecurity, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Smart Cybersecurity.
Report Scope
The Artificial Intelligence for Smart Cybersecurity market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence for Smart Cybersecurity market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence for Smart Cybersecurity companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Intel
NVIDIA Corporation (US)
Xilinx Inc.
Samsung Electronics
Micron Technology
IBM Corporation
Amazon Web Services, Inc.
Darktrace
Cylance Inc.
Vectra AI, Inc.
ThreatMetrix Inc.
Securonix Inc.
Sift Science
Acalvio Technologies
SparkCognition Inc.
Palo Alto Networks Inc.
Symantec Corporation
Segment by Type
Hardware
Software
Services
Segment by Application
BFSI
Retail
IT & Telecommunication
Automotive & Transportation
Manufacturing
Government & Defence
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence for Smart Cybersecurity companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence for Smart Cybersecurity Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Artificial Intelligence for Smart Cybersecurity Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 BFSI
1.3.3 Retail
1.3.4 IT & Telecommunication
1.3.5 Automotive & Transportation
1.3.6 Manufacturing
1.3.7 Government & Defence
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence for Smart Cybersecurity Market Perspective (2019-2030)
2.2 Artificial Intelligence for Smart Cybersecurity Growth Trends by Region
2.2.1 Global Artificial Intelligence for Smart Cybersecurity Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence for Smart Cybersecurity Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence for Smart Cybersecurity Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence for Smart Cybersecurity Market Dynamics
2.3.1 Artificial Intelligence for Smart Cybersecurity Industry Trends
2.3.2 Artificial Intelligence for Smart Cybersecurity Market Drivers
2.3.3 Artificial Intelligence for Smart Cybersecurity Market Challenges
2.3.4 Artificial Intelligence for Smart Cybersecurity Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence for Smart Cybersecurity Players by Revenue
3.1.1 Global Top Artificial Intelligence for Smart Cybersecurity Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence for Smart Cybersecurity Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence for Smart Cybersecurity Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence for Smart Cybersecurity Revenue
3.4 Global Artificial Intelligence for Smart Cybersecurity Market Concentration Ratio
3.4.1 Global Artificial Intelligence for Smart Cybersecurity Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence for Smart Cybersecurity Revenue in 2023
3.5 Artificial Intelligence for Smart Cybersecurity Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence for Smart Cybersecurity Product Solution and Service
3.7 Date of Enter into Artificial Intelligence for Smart Cybersecurity Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence for Smart Cybersecurity Breakdown Data by Type
4.1 Global Artificial Intelligence for Smart Cybersecurity Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence for Smart Cybersecurity Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence for Smart Cybersecurity Breakdown Data by Application
5.1 Global Artificial Intelligence for Smart Cybersecurity Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence for Smart Cybersecurity Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence for Smart Cybersecurity Market Size (2019-2030)
6.2 North America Artificial Intelligence for Smart Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence for Smart Cybersecurity Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence for Smart Cybersecurity Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence for Smart Cybersecurity Market Size (2019-2030)
7.2 Europe Artificial Intelligence for Smart Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence for Smart Cybersecurity Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence for Smart Cybersecurity Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence for Smart Cybersecurity Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence for Smart Cybersecurity Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence for Smart Cybersecurity Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence for Smart Cybersecurity Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence for Smart Cybersecurity Market Size (2019-2030)
9.2 Latin America Artificial Intelligence for Smart Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence for Smart Cybersecurity Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence for Smart Cybersecurity Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence for Smart Cybersecurity Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence for Smart Cybersecurity Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence for Smart Cybersecurity Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence for Smart Cybersecurity Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Intel
11.1.1 Intel Company Detail
11.1.2 Intel Business Overview
11.1.3 Intel Artificial Intelligence for Smart Cybersecurity Introduction
11.1.4 Intel Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.1.5 Intel Recent Development
11.2 NVIDIA Corporation (US)
11.2.1 NVIDIA Corporation (US) Company Detail
11.2.2 NVIDIA Corporation (US) Business Overview
11.2.3 NVIDIA Corporation (US) Artificial Intelligence for Smart Cybersecurity Introduction
11.2.4 NVIDIA Corporation (US) Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.2.5 NVIDIA Corporation (US) Recent Development
11.3 Xilinx Inc.
11.3.1 Xilinx Inc. Company Detail
11.3.2 Xilinx Inc. Business Overview
11.3.3 Xilinx Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.3.4 Xilinx Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.3.5 Xilinx Inc. Recent Development
11.4 Samsung Electronics
11.4.1 Samsung Electronics Company Detail
11.4.2 Samsung Electronics Business Overview
11.4.3 Samsung Electronics Artificial Intelligence for Smart Cybersecurity Introduction
11.4.4 Samsung Electronics Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.4.5 Samsung Electronics Recent Development
11.5 Micron Technology
11.5.1 Micron Technology Company Detail
11.5.2 Micron Technology Business Overview
11.5.3 Micron Technology Artificial Intelligence for Smart Cybersecurity Introduction
11.5.4 Micron Technology Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.5.5 Micron Technology Recent Development
11.6 IBM Corporation
11.6.1 IBM Corporation Company Detail
11.6.2 IBM Corporation Business Overview
11.6.3 IBM Corporation Artificial Intelligence for Smart Cybersecurity Introduction
11.6.4 IBM Corporation Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.6.5 IBM Corporation Recent Development
11.7 Amazon Web Services, Inc.
11.7.1 Amazon Web Services, Inc. Company Detail
11.7.2 Amazon Web Services, Inc. Business Overview
11.7.3 Amazon Web Services, Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.7.4 Amazon Web Services, Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.7.5 Amazon Web Services, Inc. Recent Development
11.8 Darktrace
11.8.1 Darktrace Company Detail
11.8.2 Darktrace Business Overview
11.8.3 Darktrace Artificial Intelligence for Smart Cybersecurity Introduction
11.8.4 Darktrace Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.8.5 Darktrace Recent Development
11.9 Cylance Inc.
11.9.1 Cylance Inc. Company Detail
11.9.2 Cylance Inc. Business Overview
11.9.3 Cylance Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.9.4 Cylance Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.9.5 Cylance Inc. Recent Development
11.10 Vectra AI, Inc.
11.10.1 Vectra AI, Inc. Company Detail
11.10.2 Vectra AI, Inc. Business Overview
11.10.3 Vectra AI, Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.10.4 Vectra AI, Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.10.5 Vectra AI, Inc. Recent Development
11.11 ThreatMetrix Inc.
11.11.1 ThreatMetrix Inc. Company Detail
11.11.2 ThreatMetrix Inc. Business Overview
11.11.3 ThreatMetrix Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.11.4 ThreatMetrix Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.11.5 ThreatMetrix Inc. Recent Development
11.12 Securonix Inc.
11.12.1 Securonix Inc. Company Detail
11.12.2 Securonix Inc. Business Overview
11.12.3 Securonix Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.12.4 Securonix Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.12.5 Securonix Inc. Recent Development
11.13 Sift Science
11.13.1 Sift Science Company Detail
11.13.2 Sift Science Business Overview
11.13.3 Sift Science Artificial Intelligence for Smart Cybersecurity Introduction
11.13.4 Sift Science Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.13.5 Sift Science Recent Development
11.14 Acalvio Technologies
11.14.1 Acalvio Technologies Company Detail
11.14.2 Acalvio Technologies Business Overview
11.14.3 Acalvio Technologies Artificial Intelligence for Smart Cybersecurity Introduction
11.14.4 Acalvio Technologies Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.14.5 Acalvio Technologies Recent Development
11.15 SparkCognition Inc.
11.15.1 SparkCognition Inc. Company Detail
11.15.2 SparkCognition Inc. Business Overview
11.15.3 SparkCognition Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.15.4 SparkCognition Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.15.5 SparkCognition Inc. Recent Development
11.16 Palo Alto Networks Inc.
11.16.1 Palo Alto Networks Inc. Company Detail
11.16.2 Palo Alto Networks Inc. Business Overview
11.16.3 Palo Alto Networks Inc. Artificial Intelligence for Smart Cybersecurity Introduction
11.16.4 Palo Alto Networks Inc. Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.16.5 Palo Alto Networks Inc. Recent Development
11.17 Symantec Corporation
11.17.1 Symantec Corporation Company Detail
11.17.2 Symantec Corporation Business Overview
11.17.3 Symantec Corporation Artificial Intelligence for Smart Cybersecurity Introduction
11.17.4 Symantec Corporation Revenue in Artificial Intelligence for Smart Cybersecurity Business (2019-2024)
11.17.5 Symantec Corporation Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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