2021 Report Package Focusing on AI, Digital Twins, and Human and Machine Trust/Threat Detection in Cybersecurity

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Nov 15, 2021, 14:45 ET

DUBLIN, Nov. 15, 2021 /PRNewswire/ -- The "AI, Digital Twins, and Human and Machine Trust/Threat Detection in Cybersecurity 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.

This research examines security technology and solutions while assessing the risks and operational issues relative to current and anticipated cybersecurity technologies. The report also analyzes the impact regionally including North America, Europe, APAC, Middle East, Africa, and Latin America. It also examines security technology and solutions while assessing the risks and operational issues relative to current and anticipated cybersecurity technologies. The report also analyzes the impact regionally including North America, Europe, APAC, Middle East, Africa, and Latin America.

This research also assesses the AI in the ICT ecosystem including technologies, solutions and players. Application areas covered include marketing and business decision making, workplace automation, predictive analysis and forecasting, fraud detection and mitigation. It evaluates digital twinning technology, solutions, use cases, and leading company efforts in terms of R&D and early deployments. The report assesses the digital twin product and service ecosystem including application development and operations. This includes consideration of use cases by industry vertical.

This research also evaluates the machine trust market. This includes human-machine threat detection and damage mitigation systems in both human-machine and machine-machine security frameworks. The report assesses the market from both technology and solution perspective and associated services. The report also evaluates unique approaches across industry verticals as well as the government sector with forecasts from 2021 to 2026.

Select Research Findings:

Total global government data cybersecurity will reach $88B USD by 2026
Securing data, OS, and networks from spoofing is a fast-growing opportunity
Total global cybersecurity associated with edge networks will reach $99B USD by 2026
Leading digital twin solutions involve Asset, Component, System, Process and Workflow Twinning
The combined global market for TDDM in government office and public infrastructure will reach $9.3B by 2026

Threat detection and damage mitigation (TDDM) refers to those processes, procedures, tools that provide the ability of an organization to accurately identify potential threats to networks, systems, applications and/or other assets with emphasis upon the ability to pre-emptively and proactively respond to security events and/or mitigate damage.

More advanced TDDM solutions look beyond human-led threat detection and mitigation to autonomous M2M solutions. Regardless of whether threats originate from human beings or autonomous computer programs, the new vision of TDDM is to create a human-machine threat detection framework in which network operators and systems administrators may choose their level of interaction and control.

Human-machine threat detection systems leverage various techniques such as video surveillance, cloud-controlled cyber-bots, and physical robots, artificial intelligence, biometric security systems, and IoT solutions. Various combinations of automation techniques and technologies are leveraged in orchestration with human-controlled threat detection solutions. Solutions will have varying levels of autonomy, including fully autonomous, remote-controlled (such as via handheld devices), and hybrid variants.

At the network services provider level, the cybersecurity market is heating up as carriers realize that the advent of 5G and other network advances will increase network complexity, which will translate into increasingly more potential vulnerability areas. Accordingly, communication service providers are both working unilaterally as well as banding together to address common cybersecurity concern areas. By way of example, AT&T recently became the first North American carrier to join the Global Telco Security Alliance, which launched last year with founding members Etisalat, Singtel, SoftBank, and Telefonica.

We see evolving IoT systems and emerging 5G networks as new opportunities for the cybersecurity market. Leading companies such as Palo Alto Networks, Cyberlance (BlackBerry), and others are poised to capitalize on the market for securing IoT and 5G based networks, systems, applications, and services. We see the use of AI as a key tool for dealing with increasingly interconnected networks, devices, and open access to data. This is because AI solutions focus on behavior rather than relying upon identifying malware signatures.

Key Topics Covered:

Cybersecurity Market by Segment (Consumer, Enterprise, Industrial, Government), Use Cases, Solution Types (Hardware, Software, and Data) and Industry Verticals 2021 - 2026

Executive Summary
Overview
Cybersecurity Technology and Market Impact Analysis
Company and Solution Analysis
Global Cybersecurity Market Analysis and Forecasts
Cybersecurity Market by Major Segment 2021 - 2026
Global IoT Cybersecurity Market 2021 - 2026
Global Cloud Computing Cybersecurity Market 2021 - 2026
Global AI in Cybersecurity Market 2021 - 2026
Conclusions and Recommendations
Appendix: Human and Machine Trust/Threat Detection and Damage Mitigation

AI in Information and Communications Technology 2021 - 2026: AI and Cognitive Computing in Communications, Applications, Content, and Commerce

Executive Summary
Introduction
AI Intellectual Property Leadership by Country and Company
AI in ICT Market Analysis and Forecasts 2021-2026
AI in Select Industry Verticals
AI in Major Market Segments
Important Corporate AI M&A
AI in ICT Use Cases
AI in ICT Vendor Analysis
Summary and Recommendations
Appendix: Key AI in ICT Patents

Digital Twins Market by Technology, Twinning Type, Cyber-to-Physical Solutions, Use Cases and Applications in Industry Verticals 2021 - 2026

Executive Summary
Introduction
Digital Twins Company Assessment
Digital Twins Market Analysis and Forecasts 2021 to 2026
Conclusions and Recommendations

Human and Machine Trust/Threat Detection and Damage Mitigation Market by Technology, Solution, Deployment Model, Use Case, Application, Sector (Consumer, Enterprise, Industrial, Government), Industry Vertical, and Region 2021 - 2026

Executive Summary
Introduction
Technology and Application Analysis
Company Analysis
Market Analysis and Forecast 2021 - 2026
Conclusions and Recommendations

Companies Mentioned

3D Robotics
ABB
Accenture PLC
Agent.ai
AIBrian
Airbus
Akamai
Alert Logic
Allerin Tech Pvt. Ltd.
Altair Engineering, Inc.
Amazon
Analogic Corporation
ANSYS
Apple Inc.
Armor Defense
AT&T
Aucotec AG
Autodesk Inc.
Axis Communication AB
Axway Software
Aysadi
BAE Systems Inc.
Baidu
Barracuda Networks Inc.
Bayshore Networks
Bentley Systems, Incorporated
Bigml
BlackBerry (Cylance)
BlackMesh Inc.
Blighter Surveillance Systems
Boeing
Bomgar
Booz Allen Hamilton Inc.
Brighterion
Broadcom (Blue Coat Systems)
BT
CADFEM GmbH
Carbon Black
Cassidian Cybersecurity
Centrify Corporation
Check Point Software Technologies Ltd.
Chemimage Corporation
Chemring Group
Cisco Systems
Cityzenith
Clearwater Compliance
Cloudflare
CloudMinds
Collins Aerospace
Cosmo Tech
CrowdStrike
CyberArk
Darktrace
Dassault Systems
DFLabs
Diffbot
Digital Defense
Digital Reasoning Systems
DigitalGenius
DNV GL
DotOrigin
Drone Shield
DXC Technology
Eclipse Foundation
Elbit Systems
Emerson
Emesent
Exabeam
EY
F5 Networks
Facebook
Fair Isaac
Faststream Technologies
FEINGUSS BLANK GmbH
FireEye
Flir Systems
Flowserve
Forcepoint
ForeScout
Fortinet Inc.
Fortscale Security Ltd.
Forward Networks
General Electric
General Vision
GoodAI
Google
Group IB
H20.ai
HelpSystems
Herjavec Group
Hewlett Packard Enterprise
Hitachi Ltd.
Honeywell
HPE
Huawei Technologies
IBM Corporation
Idaptive
Imperva
Industrial Internet Consortium
Infosys
Intel
InteliWISE
Intellias
Invicara
Juniper Networks
KAI
Kaspersky Lab
KBMax
KnowBe4
KPMG
Lanner Electronics
LG Electronics
Lockheed Martin
LogRhythm Inc.
McAfee
Medtronic
Meya
Microsoft Corporation
Mimecast
MindMeld
Mirion Technologies
motion.ai
National Instruments
NavVis
Northrop Grumman
Nuance Communications
Okta
OneLogin
Oracle
Palo Alto Networks
PETRA Data Science
Physical Web
PointGrab
Pradeo Security Systems
Pratiti Technologies
Premonition
PricewaterhouseCoopers
Prodea System Inc.
Proofpoint
PTC
QiO Technologies
Radware
RAE Systems
Rainbird
Rapid7, Inc.
Rapiscan Systems
Raytheon
Raytheon Technologies
Receptiviti
Robert Bosch
RSA Security LLC
Safran
Salesforce.com
SAP
SAS
Schneider Electric
SecureWorks Inc.
SenSat
Sentient Technologies
Sera-Brynn
Siemens
Sight Machine Inc.
Simplifa GmbH
SK Telecom
Smiths Detection Group
Softweb Solutions Inc.
Sogeti Group
Sophos Ltd.
SparkCognition
Splunk
SWIM.AI
Symantec Corporation
Synavision
Sysmex Corporation
Talium
Tellmeplus
Tend.ai
TensorFlow
Thales Group
Thycotic
TIBCO Software
Toshiba Corporation
Trend Micro, Inc.
UrsaLeo
Vasco Data Security
Verizon
Vicarious
Virtalis Limited
Visualiz
Vital AI
WatchGuard
Wipro Limited
Wit.ai
X.ai
XenonStack
Zebra Medical Vision
Zest Labs

For more information about this report visit https://www.researchandmarkets.com/r/dj7f74

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