Plunkett’s Cybersecurity, Digital ID & Online Fraud Industry Almanac 2022: Cybersecurity, Digital ID & Online Fraud Industry Market Research, Statistics, Trends and Leading Companies

Plunkett’s Cybersecurity, Digital ID & Online Fraud Industry Almanac 2022

Key Findings:

• Plunkett Research analyzes the major trends and technologies in the global Cybersecurity, Digital ID & Online Fraud Protection Sectors. In addition, Plunkett profiles many of the industry’s top firms.

Key Features:

• Industry trends analysis, market data and competitive intelligence
• Market forecasts and Industry Statistics
• Industry Associations and Professional Societies List
• In-Depth Profiles of hundreds of leading companies
• Industry Glossary

Pages: 238
Statistical Tables Provided: 7
Companies Profiled: 150
Geographic Focus: Global

A complete market research report, including forecasts and market estimates technologies analysis and developments at innovative firms. You will gain vital insights that can help you shape your own strategy for business development, product development and investments.

How is the industry evolving?
How is the industry being shaped by new technologies?
How is demand growing in emerging markets and mature economies?
What is the size of the market now and in the future?
What are the financial results of the leading companies?
What are the names and titles of top executives?
What are the top companies and what are their revenues?

Contents, Statistics, Forecasts and Analysis Include:

Major Trends Affecting the Cybersecurity, Digital ID & Online Fraud Industry

1. Introduction to the Cybersecurity, Digital ID & Online Fraud Industry
2. The Coronavirus’ Effect on the Cybersecurity and Digital ID Industry
3. Digital ID and Online Authentication Fraud Soars/Sophisticated Technologies and Databases Respond
4. Why You Should Never Reuse Passwords/The Dark Web and Credential Stuffing
5. Online Fraud/Payments Fraud Adapt and Evolve Continuously
6. Network Anti-Fraud Technologies Advance, Including use of Artificial Intelligence (AI) and Machine Learning
7. Online Fraud Often Begins with New Account Setup or Account Takeover
8. Voice, Face & Image Recognition Change the Wireless World, Enhanced Through Artificial Intelligence (AI)
9. Smart Cities Utilize Sensors and Artificial Intelligence (AI)/Create Privacy and Security Issues
10. The Internet of Things (IoT) and M2M to Boom, Enhanced by Artificial Intelligence (AI)/Open New Avenues for Hacking
11. Artificial Intelligence (AI), Deep Learning and Machine Learning Advance into Commercial Applications, Including Health Care and Robotics
12. Peer-to-Peer (P2P) Payment Systems, such as Zelle and Venmo, Soar in Popularity/Require Rigorous ID Verification
13. Growth in Big Data Supported by Expansion of Cloud Computing and Predictive Analytics
14. The Future: Pervasive Computing and Complete Mobility Will Be Standard

Cybersecurity, Digital ID & Online Fraud Industry Statistics

1. Cybersecurity, Digital ID, & Online Fraud Overview
2. Cyber Crimes Types and Victims Affected, U.S.
3. Data Processing, Hosting, and Related Services Industry, U.S.: Estimated Revenue & Expenses: 2016-2021
4. Data Processing, Hosting, and Related Services Industry, U.S.: Estimated Selected Expenses: 2014-2019
5. Computer Systems Design and Related Services Industry, U.S.: Estimated Revenue & Expenses: 2014-2019
6. Research Funding for Computer and Information Science Engineering, U.S. National Science Foundation: Fiscal Years 2020-2022
7. Computer and Mathematical Occupation Related Employment by Occupation, U.S.: May 2021