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表纸
市场调查报告书

假资讯对策(深伪技术、假新闻)解决方案市场(2020年~2026年)

Counter Misinformation (DeepFake & Fake News) Solutions Market: 2020-2026 CAGR of 42%

出版商 Homeland Security Research Corporation (HSRC) 商品编码 979662
出版日期 内容资讯 英文 136 Pages; 99 Tables & Figures
商品交期: 最快1-2个工作天内
价格
假资讯对策(深伪技术、假新闻)解决方案市场(2020年~2026年) Counter Misinformation (DeepFake & Fake News) Solutions Market: 2020-2026 CAGR of 42%
出版日期: 2020年12月30日内容资讯: 英文 136 Pages; 99 Tables & Figures
简介

在过去的一个世纪中,随著媒体和社交媒体平台广泛传播假讯息,假新闻已成为一个主要问题。 假新闻的负面影响,尤其是在政治,经济和社会环境中的负面影响逐渐增加,强调需要近乎即时地检测和识别这些假新闻。此外,使用人工智慧(AI)制作假影片的最新趋势称为 "深伪技术" 或 "假新闻2.0" ,这是一种迅速成长的现象,引起了人们的广泛关注。

本报告提供全球假资讯对策(深伪技术、假新闻)解决方案市场的相关调查,市场规模和预测,成长及阻碍因素,法律规范,科技和解决方案,各地区的市场分析,主要企业的简介等资讯。

目录

第1章 摘要整理

  • 主要调查结果与结论
  • 市场动态和机会
  • 市场规模:评估与预测(2020-2026)
  • 市场动态(2020-2026)
  • 市场明细(2020-2026)

第2章 国防安全保障,公共安全及国家安全保障市场背景与评估的假资讯

  • 假资讯定义和背景
  • 假新闻定义和背景
  • 深伪技术定义和背景
  • 假新闻和深伪技术的经济损失

第3章 国防安全保障,公共安全及国家安全保障市场背景与评估的假资讯对策

  • 计数器的假资讯的背景
  • 假资讯对策市场:成长要素与阻碍因素
    • 假资讯对策市场推动要素
    • 假资讯对策市场阻碍因素
  • 国防安全保障,公共安全,及国家安全保障市场组织图的假资讯对策
  • 国防安全保障,公共安全,及国家安全保障市场估计、预测的假资讯对策

第4章 假资讯对策:国家法律规范

第5章 国防安全保障,公共安全,国家安全保障的各假资讯对策项目与计划

第6章 全球安全的疑虑与评估

  • 全球风险(2020):地区的认识
  • 北美:国防安全保障及公共安全市场成长要素
  • 电脑网路攻击
  • 资料诈骗或盗窃
  • 恐怖行动的威胁
  • 欧洲:国防安全保障及公共安全市场成长要素
  • 电脑网路攻击
  • 资产泡沫化
  • 州间纠纷
  • 恐怖行动资金筹措
  • 亚太地区:国防安全保障及公共安全市场成长要素
  • 水危机
  • 恐怖行动攻击
  • 人为的环境灾害
  • 自然灾害
  • 电脑网路攻击
  • 州间纠纷
  • 中东、非洲:国防安全保障及公共安全市场成长要素
  • 失业或不完全雇用
  • 财政危机
  • 能源价格休克
  • 南美和加勒比海地区:国防安全保障及公共安全市场成长要素
  • 国家治理的失败
  • 经济问题
  • 主要的基础设施的障碍
  • COVID-19大流行的背景与评估
  • 北美:COVID-19评估
  • 欧洲:COVID-19评估
  • 南美:COVID-19评估
  • 亚太地区:COVID-19评估
  • 中东、非洲:COVID-19评估

第7章 国防安全保障,公共安全,及国家安全保障机关的背景

第8章 资料的剧增

第9章 资料来源的类型

  • 被动式资料来源
  • 活性资料来源
  • 资料来源
    • OSINT(社群媒体和Web)

第10章 根据假资讯宣传活动被生成的威胁

  • 选举活动和政治
  • 金融诈骗
  • 公共卫生
  • 诈骗
  • 电脑网路对应的犯罪
  • 复仇式色情和性勒索

第11章 科技

  • 相关市场(2020-2026)
  • 市场分析(2020-2026)
  • 市场动态(2020-2026)
  • 市场明细(2020-2026)
  • 假资讯对策技术的背景
  • 假资讯对策科技启用和应用
    • AI机器与学习
    • 自然语言处理(NLP)
  • 僵尸网路工作
    • 所谓僵尸网路工作
    • 僵尸网路工作检测工具
  • 假资讯对策科技类型与解决方案
    • 假新闻检测解决方案
    • 深伪技术检测解决方案
    • 市场规模:评估与预测(2020-2026)
    • 市场动态(2020-2026)
    • 市场明细(2020-2026)

第12章 垂直市场

  • 相关市场(2020-2026)
  • 市场分析(2020-2026)
  • 市场动态(2020-2026)
  • 市场明细(2020-2026)
  • 政府资讯机关
  • LEA和初期应变人员
  • 金融情报与诈骗侦测
  • 网路安全机关
  • 军事及国防资讯
  • 商业著作权保护

第13章 地区市场

  • 北美市场
  • 欧洲,中东、非洲(EMEA)市场
  • 亚太地区市场

第14章 主要供应商

  • 社群媒体平台的联合大企业假资讯检测举措
  • Cheq
  • Cyabra
  • Falso Tech
  • Sensity
  • Microsoft
  • Axon
  • Logically
  • Datalytics24
  • Wordproof
  • Truepic
  • Right of Reply
  • Factmata
  • Digital Fingerprints
  • Trueinchain
  • Fabula AI (a Twitter company)
  • Shieldsquare
  • Imperva
  • Fastly

第15章 免责声明和著作权

目录

For the past century Fake News has become a significant problem, as exploiting news outlets and social media platforms to disseminate misinformation to influence individuals' actions has become widespread. The negative impact of Fake News, especially within the political, economic, and social environments is increasing, emphasizing the need to detect and identify these Fake News stories in near real-time. Furthermore, the latest trend of using Artificial Intelligence (AI) to create fake videos, known as "DeepFakes" or "FakeNews 2.0", is a fast-growing phenomenon creating major concerns. AI technology enables, basically anyone, to create a fake video that shows a person or persons performing an action at an event that never occurred. Although DeepFakes are not as prevalent and widespread as Fake News articles, they are increasing in popularity and have a much greater effect on the general population. In addition, the sophistication behind the creation of DeepFake videos increases the difficulty of identifying and detecting them, making them a much more effective and destructive tool for perpetrators.

As the usage and threat of DeepFakes and Fake News intensifies, so do efforts to develop new detection methods, resulting in the next wave of (mis)information warfare. The proliferation of technology, specifically Artificial Intelligence, allow wide scale and easy to use solutions to create synthetic media that seems very real, either in video, photos, or text. In combination with networks of fake profiles, bot networks and smart utilization of social media, the attackers have many ways to influence either the public or specific individuals. As media and technology are now being used for cyber terrorism, criminal activity, espionage and military warfare, the new age of information warfare threatens democracies worldwide, pushing governments to combat this threat with large investments.

Intelligence, Law Enforcement, and other Governmental agencies are taking active roles in tackling the threat that (mis)information warfare poses and are spending growing budgets on technology that can detect and counter Fake News and DeepFake media.

The Counter Deepfake and Counter Fake News Software Solutions Market report is the first report to cover this up and coming market, focused on detection and mitigation solutions for Fake News and DeepFakes:

  • Fake News - the deliberate creation of false reality to influence public perception.
  • DeepFake - manipulated videos or audio produced by AI, that yield fabricated images and sounds that appear to be real.

In many cases the two are used simultaneously, however each one requires different tools and methods to detect and mitigate. Currently, most of the market spending goes towards the detection and monitoring part of the Information Warfare, while a smaller portion is invested towards digital forensics, trying to trace the source, after the damage has been done.

There are two major categories of DeepFake detection tools:

  • Pattern Analysis - looking and analyzing the behavior of people in the videos, learning the patterns, from hand gestures to pauses in speech, and comparing it to real life patterns. This approach has the advantage of possibly working even if the video quality itself is essentially perfect.
  • Quality of Video Analysis - analyzing the differences between deepfakes and real videos. Most deepfake videos are created by merging individually generated frames into videos. By analyzing the essential data from the faces in individual frames of a video and then tracking them through sets of concurrent frames one is able to detect inconsistencies in the flow of the information from one frame to another. This can also be used for face audio detection.

At the end of the day, it may be that both types of DeepFake detection methods will be needed in order to mitigate this potential threat.

Fake News are disseminated via networks of fake profiles, bot networks and smart utilization of social media, therefore, most tools developed and used to detect fake news are geared towards finding, analyzing and stopping these networks and bots. These tools are a mix of OSINT and Cyber technologies.

The counter DeepFake and counter Fake News software market forecast report presents for each submarket 2019 data and projects the 2020-2026 market. We address the "money trail" - each dollar spent - via the following 3 orthogonal market segments:

By Type of misinformation:

  • 1. Fake News
  • 2. DeepFake

By End User:

  • 1. Police & Law Enforcement
  • 2. Intelligence Organizations
  • 3. Military
  • 4. Other Government Organizations
  • 5. Commercial Businesses
  • 6. Consumers

By Regional Markets:

  • 1. North America
  • 2. Europe, Middle East & Africa (EMEA)
  • 3. Asia Pacific

As most of the misinformation activity and content dissemination is done on social media platforms, the report covers the activity of tech giants to tackle this threat over their platforms and beyond. Facebook, Twitter, Microsoft, Youtube and other leading content platforms are investing time and money to better understand and detect deepfakes to make sure their platforms are not misused by criminals and state-owned operators. However, these efforts alone will not be enough and other institutions will have to take a more prominent role by allocating larger budgets to purchase or develop capabilities to mitigate the risk. In addition to detecting these fakes, journalists and the social media platforms also need to figure out how best to warn people about deepfakes when they are detected to minimize the damage done.

Such as in most tech heavily markets, end users are debating whether to work with an external vendor or to rely on internal developed capabilities as well as existing OSINT monitoring tools re-directed to a dedicated team. The report contains a detailed list and short profile of the companies that provide solutions for counter DeepFake and FakeNews monitoring and detection. Many of these companies are startups such as Cheq, Metafact, Cyabra, Falso Tech, Sensity, and others. In addition, large and mature corporations are also active in the market, some of them via M&A activities and other are developing solutions internally, such players include Axon, Microsoft, Facebook, Twitter and others.

These companies are leveraging several high-end technologies and methods to tackle this threat, such as:

  • AI analytics that can identify synthetic media
  • Digital authentication solutions
  • Content and social media monitoring tools (OSINT)
  • Fake profiles detectors
  • Fact checking tools
  • Related cybercrime activity

In addition to technological solutions, regulatory frameworks are also being put forth by Judicial systems across the globe as a method to deal with this threat. However, there are many issues regarding personal rights and the freedom of speech that make it hard to fight this kind of campaigns by only using the law.

Questions answered in this market report include:

  • What will be the counter deepfake and counter fake news software market size in 2019-2025? What will the relevant trends be during that time?
  • What will be the deepfake detection software market size in 2019-2025?
  • What will be the fake news detection software market size in 2019-2025?
  • Which submarkets in this field provide attractive business opportunities?
  • Which regions are expected to invest most in these capabilities?
  • Which end users are expected to invest most in these capabilities?
  • What are the market drivers and inhibitors?
  • Who are the prominent vendors in the market?
  • What type of regulations are countries implementing to fight the threats posed by deepfake and fake news activities?

Ideally, a deepfake verification tool should be available to everyone. However, this technology is in the early stages of development. Furthermore, developers need to improve the tools and protect them against hackers before releasing them broadly. Therefore, HSRC estimates this market will grow rapidly during the forecast period.

Table of Contents

1 Executive Summary

  • 1.1 Major Findings & Conclusions
  • 1.2 Market Dynamics & Opportunities
  • 1.3 Market Size - Assessment and Forecast - 2020-2026
  • 1.4 Market Dynamics 2020-2026
  • 1.5 Market Breakdown 2020-2026

2 Misinformation in Homeland Security, Public Safety and National Security Market Background & Assessment

  • 2.1 Misinformation Definition & Background
    • 2.1.1 Fake News Definition & Background
    • 2.1.2 DeepFake Definition & Background
    • 2.1.3 Fake News & DeepFake Economic Damages

3 Counter Misinformation in Homeland Security, Public Safety and National Security Market Background & Assessment

  • 3.1 Counter Misinformation Background
  • 3.2 Counter Misinformation Industry: SWOT Analysis
    • 3.2.1 Strengths
    • 3.2.2 Weaknesses
    • 3.2.3 Opportunities
    • 3.2.4 Threats
  • 3.3 Counter Misinformation Market Drivers
  • 3.4 Counter Misinformation Market Inhibitors
  • 3.5 Counter Misinformation in Homeland Security, Public Safety, and National Security Market Organogram
  • 3.6 Counter Misinformation in Homeland Security, Public Safety, and National Security Market Estimations and Forecast

4 Global Security Concerns & Assessment

  • 4.1 Global Risks 2020: A Regional Perceptive
  • 4.2 North America Homeland Security & Public Safety Market Drivers
    • 4.2.1 Cyber Attacks
    • 4.2.2 Data Fraud or Theft
    • 4.2.3 Terrorism Threat
  • 4.3 Europe Homeland Security & Public Safety Market Drivers
    • 4.3.1 Cyberattacks
    • 4.3.2 Assets bubble
    • 4.3.3 Interstate conflict
  • 4.4 APAC Homeland Security & Public Safety Market Drivers
    • 4.4.1 Water Crises
    • 4.4.2 Terrorist attacks
    • 4.4.3 Manmade environmental catastrophes
    • 4.4.4 Natural catastrophes
    • 4.4.5 Cyberattacks
    • 4.4.6 Interstate conflict
  • 4.5 Middle East and Africa Homeland Security & Public Safety Market Drivers
    • 4.5.1 Unemployment or underemployment
    • 4.5.2 Fiscal crises
    • 4.5.3 Energy price shock
  • 4.6 Latin America and the Caribbean Homeland Security & Public Safety Market Drivers
    • 4.6.1 Failure of national governance
    • 4.6.2 Economic issues
    • 4.6.3 Failure of critical infrastructure
  • 4.7 COVID-19 Pandemic Background & Assessment
    • 4.7.1 North America COVID-19 Assessment
    • 4.7.2 Europe COVID-19 Assessment
    • 4.7.3 LATAM COVID-19 Assessment
    • 4.7.4 APAC COVID-19 Assessment
    • 4.7.5 Middle East & Africa COVID-19 Assessment

5 Homeland Security, Public Safety, and National Security Agencies Background

6 Proliferation of Data

7 Type of Data Sources

  • 7.1 Passive Data Sources
  • 7.2 Active Data Sources
  • 7.3 Data Sources
    • 7.3.1 OSINT (Social Media and Web)
      • 7.3.1.1 Social Media Sources
      • 7.3.1.2 Leading Social Media Platforms

8 Threats Generated by Misinformation Campaigns

  • 8.1 Election Campaigns and Politics
  • 8.2 Financial Frauds
  • 8.3 Public health
  • 8.4 Personality Theft
  • 8.5 Revenge Porn

9 Technology

  • 9.1 Counter Misinformation Technology Background
  • 9.2 Counter Misinformation Technology Enablers
    • 9.2.1 AI & Machine Learning
    • 9.2.2 Machine Learning Methods
    • 9.2.3 Deep Machine Learning
  • 9.3 Counter Misinformation Technology Types & Applications
    • 9.3.1 Fake News Detection Solutions
    • 9.3.2 DeepFake Detection Solutions
    • 9.3.3 Natural Language Processing (NLP)
    • 9.3.4 Natural Language Processing Components
    • 9.3.5 Natural Language Processing Application Types
      • 9.3.5.1 Document Translation
      • 9.3.5.2 Text Classification and Categorization
      • 9.3.5.3 Enlarge the Data of Cyber Security
      • 9.3.5.4 Speech Recognition & Machine Hearing
    • 9.3.6 Machine Vision
      • 9.3.6.1 Applications Types

10 Vertical Markets

  • 10.1 Consolidated Market 2020-2026
  • 10.2 Market Analysis 2020-2026
  • 10.3 Market Dynamics 2020-2026
  • 10.4 Market Breakdown 2020-2026
  • 10.5 Government Intelligence Agencies
    • 10.5.1 Use Cases
    • 10.5.2 Market Size - Assessment and Forecast - 2020-2026
    • 10.5.3 Market Dynamics 2020-2026
    • 10.5.4 Market Breakdown 2020-2026
  • 10.6 LEAs & First Responders
    • 10.6.1 Use Cases
    • 10.6.2 Market Size - Assessment and Forecast - 2020-2026
    • 10.6.3 Market Dynamics 2020-2026
    • 10.6.4 Market Breakdown 2020-2026
  • 10.7 Financial Intelligence & Fraud Detection
    • 10.7.1 Use Cases
    • 10.7.2 Market Size - Assessment and Forecast - 2020-2026
    • 10.7.3 Market Dynamics 2020-2026
    • 10.7.4 Market Breakdown 2020-2026
  • 10.8 Cyber Security Agencies
    • 10.8.1 Use Cases
    • 10.8.2 Market Size - Assessment and Forecast - 2020-2026
    • 10.8.3 Market Dynamics 2020-2026
    • 10.8.4 Market Breakdown 2020-2026
  • 10.9 Military & Defense Intelligence
    • 10.9.1 Use Cases
    • 10.9.2 Market Size - Assessment and Forecast - 2020-2026
    • 10.9.3 Market Dynamics 2020-2026
    • 10.9.4 Market Breakdown 2020-2026
  • 10.10 Commercial Copyrights Protection
    • 10.10.1 Use Cases
    • 10.10.2 Market Size - Assessment and Forecast - 2020-2026
    • 10.10.3 Market Dynamics 2020-2026
    • 10.10.4 Market Breakdown 2020-2026

11 Regional Markets

  • 11.1 North America Market Background
    • 11.1.1 Market Size - Assessment and Forecast - 2020-2026
    • 11.1.2 Market Dynamics 2020-2026
    • 11.1.3 Market Breakdown 2020-2026
  • 11.2 Europe, Middle East & Africa (EMEA) Market Background
    • 11.2.1 Europe
    • 11.2.2 Middle East
    • 11.2.3 Africa
    • 11.2.4 Market Size - Assessment and Forecast - 2020-2026
    • 11.2.5 Market Dynamics 2020-2026
    • 11.2.6 Market Breakdown 2020-2026
  • 11.3 APAC Market Background
    • 11.3.1 Market Size - Assessment and Forecast - 2020-2026
    • 11.3.2 Market Dynamics 2020-2026
    • 11.3.3 Market Breakdown 2020-2026

12 Select Counter Misinformation Projects and Programs in Homeland Security, Public Safety & National Security

13 Leading Vendors

  • 13.1 Social Media Platform Conglomarates
    • 13.1.1 Misinformation Detection Solutions
  • 13.2 Accelerators Funding Counter Misinformation Startups
  • 13.3 Cheq
    • 13.3.1 Company Profile
    • 13.3.2 Misinformation Detection Solutions
  • 13.4 Cyabra
    • 13.4.1 Company Profile
    • 13.4.2 Misinformation Detection Solutions
  • 13.5 Falso Tech
    • 13.5.1 Company Profile
    • 13.5.2 Misinformation Detection Solutions
  • 13.6 Sensity
    • 13.6.1 Company Profile
    • 13.6.2 Misinformation Detection Solutions
  • 13.7 Microsoft
    • 13.7.1 Company profile
    • 13.7.2 Misinformation Detection Solutions
  • 13.8 Axon
    • 13.8.1 Company profile
    • 13.8.2 Misinformation Detection Solutions
  • 13.9 Logically
    • 13.9.1 Company profile
    • 13.9.2 Misinformation Detection Solutions
  • 13.10 Datalytics24
    • 13.10.1 Company profile
    • 13.10.2 Misinformation Detection Solutions
  • 13.11 Wordproof
    • 13.11.1 Company profile
    • 13.11.2 Misinformation Detection Solutions
  • 13.12 Truepic
    • 13.12.1 Company profile
    • 13.12.2 Misinformation Detection Solutions

14 Disclaimer & Copyright