DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Homeland Security, Public Safety & National Security Market Report: 2020-2025" report has been added to ResearchAndMarkets.com's offering.
The report forecasts that this industry's revenues will grow at a 2019-2025 CAGR of 18.5%
The use of AI and machine learning by homeland security, defense, public safety organizations and intelligence agencies is on the rise, mostly because the world is becoming more digital and connected.
This is creating new opportunities, not only for data collection and storage, but also for intelligence processing, exploitation, dissemination, and analysis. Artificial intelligence technologies can increase the investigative capabilities of intelligence organizations in many relevant aspects, including: war on crime & terror, defense from cyber-attacks, public safety analytics, disaster and mass incident management, and development of predictive capabilities.
All fields of Intelligence benefit from AI growth including Big Data & Data Analytics Market, Osint Market, Sigint Market, Cyber defense activities, financial investigations.
Key Topics Covered:
1 Executive Summary
1.1 Major Findings & Conclusions
1.1.1 Market Background
1.2 Major Dynamics & Opportunities
1.3 Global Artificial Intelligence in Homeland Security and Public Safety Markets Organogram
2 Global Market Background
2.1 Global Security Concerns
2.2 Global Risks 2018: A Regional Perceptive
2.3 North America Homeland Security & Public Safety Market Drivers
2.3.1 Cyber Attacks
2.3.2 Terrorism Threat
2.3.3 Natural Disasters
2.4 Europe Homeland Security & Public Safety Market Drivers
2.4.1 New Realities of Terror Across Europe
2.4.2 Fight Against Terrorist Financing
2.5 APAC Homeland Security & Public Safety Market Drivers
2.5.1 Transnational Terrorism.
2.5.2 Natural Disasters
2.5.3 Insurgency Operations
2.5.4 Fight Against Terrorist Financing
2.6 Latin America Homeland Security & Public Safety Market Drivers
2.6.1 Organized Crime
2.6.2 Illicit Financial Flows
2.6.3 Drug Trafficking
2.7 Middle East and Africa Homeland Security & Public Safety Market Drivers
2.7.1 Terrorism Threat
2.7.2 Political and Social Instability
2.7.3 Cyber-Attacks
2.8 Homeland Security, National Security, Law Enforcement and Public Safety Agencies
2.9 Proliferation of Data
3 Technology
3.1 Artificial Intelligence Technology Background
3.2 Main Technological Markets
3.2.1 Hardware
3.2.2 Software
3.2.3 After Services
3.3 Technological Sub-Markets
3.3.1 Machine Learning
3.3.1.1 Machine Learning Methods
3.3.1.2 Deep Machine Learning
3.3.1.3 Application Types
3.3.2 Natural Language Processing
3.3.2.1 Natural Language Processing Components
3.3.2.2 Application Types
3.3.3 Robotics & Expert Systems
3.3.3.1 Main Concepts of Robotics & Expert Systems
3.3.3.2 Applications Types
3.3.4 Machine Vision & Hearing
3.3.4.1 Applications Types
4 Vertical Markets
4.1 Vertical Markets Data Sources, Types of Threat and Usecases
4.2 Government Intelligence Agencies
4.2.1 Use Cases
4.2.1.1 Handling and Summarizing Large Amounts of Raw Data
4.2.1.2 Sorting Imagery and Locating Specific Targets
4.2.1.3 Speech Recognition and Human Language Processing
4.2.1.4 Predict Significant Future Events
4.2.1.5 Cybersecurity
4.2.1.6 Evaluate Security Clearance
4.3 Law Enforcement & 1st Responders
4.3.1 Use Cases
4.3.1.1 Handling and Summarizing of Raw Data
4.3.1.2 Facial Recognition
4.3.1.3 Video and Image Analysis
4.3.1.4 Uncovering Fake Crime
4.3.1.5 Gunshot Detection
4.3.1.6 Crime Forecasting
4.3.1.7 First Response Assistant
4.3.1.8 Medical First-response Diagnosis
4.3.1.9 Major Crisis Handling and Response
4.4 Financial Services & Fraud Detection
4.4.1 Use Cases
4.4.1.1 Customer Service
4.4.1.2 Analyze and Review of Documents
4.4.1.3 Trading
4.4.1.4 Risk Assessment
4.4.1.5 Fraud Detection and Cyber-security
4.5 Cyber Security Agencies
4.5.1 Use Cases
4.5.1.1 Networks Security
4.5.1.2 Biometric Login
4.5.1.3 Natural Language Processing
4.6 Border & Customs Control
4.6.1 Use Cases
4.6.1.1 Flag Suspicious People and Cargo
4.6.1.2 Travelers Processing
4.6.1.3 Facial Recognition and Biometric Identification
4.7 Military & Defense Industries
4.7.1 Use Cases
4.7.1.1 Guard Land/Naval/Air Borders
4.7.1.2 Target Recognition
4.7.1.3 Threat Monitoring
4.7.1.4 Data Information Processing
4.7.1.5 Intelligence Gathering
4.7.1.6 Warfare Platforms
4.7.1.7 Cyber Security
4.7.1.8 Logistics & Transportation
4.7.1.9 Training Simulations
4.8 Mass Transportation
4.8.1 Use Cases
4.8.1.1 Autonomous Vehicles
4.8.1.2 Traffic Management
4.8.1.3 Remote-Controlled Cargo Ships
4.8.1.4 Smart Tracks
4.9 Critical Infrastructure Security
4.9.1 Use Cases
4.9.1.1 Cyber Security
5 Type of Data Sources
5.1 Passive Data Sources
5.2 Active Data Sources
6 Data Sources
6.1 Communications (including GPS)
6.1.1 GPS Sources
6.1.2 Application Types
6.2 Video Stream
6.2.1 CCTV Systems
6.2.2 Social Media Video Streams
6.2.3 Common Uses of Video Analysis
6.3 Cyber Security-Related Data
6.4 OSINT (Social Media and Web)
6.4.1 Social Media Sources
6.4.2 Global Internet and Social Media Users
6.4.3 Leading Social Media Platforms
6.5 Governmental DBs
6.5.1 National ID Card
6.5.2 Fingerprint Database
6.5.3 National DNA Database
6.5.4 Public Transportation
6.5.5 Car Registration
6.5.6 Driver's License
6.5.7 Land Records
6.5.8 Criminal Records
6.5.9 Phone Call Records
6.6 Financial Data
6.6.1 Digital Banking
6.6.2 Blockchain and Bitcoin
6.7 Customs / Border Sources
6.7.1 European Immigration Crisis
6.7.2 Data Sources
6.8 Geospatial
6.8.1 Raster Data
6.8.2 Vector Data
6.8.3 Data Sources
6.9 Vehicle Data
6.9.1 V2V and V2X
6.9.2 Data Sources
Leading Vendors.
- Alphabet inc.
- Amazon
- Archarithms
- Crossmatch
- Cybernet
- Cybraics
- Darktrace
- Evolv Technology
- IBM
- Liberty Defense Technologies
- Microsoft
- NASA
- NEC Corporation
- Shield AI
- ShotSpotter
- Thales
- Toshiba
- Tygart Technology
- Veridium
For more information about this report visit https://www.researchandmarkets.com/r/4m6s14
