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表紙
市場調查報告書

假資訊對策(深偽技術、假新聞)解決方案市場(2020年∼2026年)

Counter Misinformation (DeepFake & Fake News) Solutions Market: 2020-2026

出版商 Homeland Security Research Corporation (HSRC) 商品編碼 979662
出版日期 內容資訊 英文 136 Pages; 99 Tables & Figures
商品交期: 最快1-2個工作天內
價格
假資訊對策(深偽技術、假新聞)解決方案市場(2020年∼2026年) Counter Misinformation (DeepFake & Fake News) Solutions Market: 2020-2026
出版日期: 2020年12月30日內容資訊: 英文 136 Pages; 99 Tables & Figures
簡介

在過去的一個世紀中,隨著媒體和社交媒體平台廣泛傳播假訊息,假新聞已成為一個主要問題。 假新聞的負面影響,尤其是在政治,經濟和社會環境中的負面影響逐漸增加,強調需要近乎即時地檢測和識別這些假新聞。此外,使用人工智慧(AI)製作假影片的最新趨勢稱為 "深偽技術" 或 "假新聞2.0" ,這是一種迅速成長的現象,引起了人們的廣泛關注。

本報告提供全球假資訊對策(深偽技術、假新聞)解決方案市場的相關調查,市場規模和預測,成長及阻礙因素,法律規範,科技和解決方案,各地區的市場分析,主要企業的簡介等資訊。

目錄

第1章 摘要整理

  • 主要調查結果與結論
  • 市場動態和機會
  • 市場規模:評估與預測(2020-2026)
  • 市場動態(2020-2026)
  • 市場明細(2020-2026)

第2章 國防安全保障,公共安全及國家安全保障市場背景與評估的假資訊

  • 假資訊定義和背景
  • 假新聞定義和背景
  • 深偽技術定義和背景
  • 假新聞和深偽技術的經濟損失

第3章 國防安全保障,公共安全及國家安全保障市場背景與評估的假資訊對策

  • 計數器的假資訊的背景
  • 假資訊對策市場:成長要素與阻礙因素
    • 假資訊對策市場推動要素
    • 假資訊對策市場阻礙因素
  • 國防安全保障,公共安全,及國家安全保障市場組織圖的假資訊對策
  • 國防安全保障,公共安全,及國家安全保障市場估計、預測的假資訊對策

第4章 假資訊對策:國家法律規範

第5章 國防安全保障,公共安全,國家安全保障的各假資訊對策項目與計劃

第6章 全球安全的疑慮與評估

  • 全球風險(2020):地區的認識
  • 北美:國防安全保障及公共安全市場成長要素
  • 電腦網路攻擊
  • 資料詐騙或盜竊
  • 恐怖行動的威脅
  • 歐洲:國防安全保障及公共安全市場成長要素
  • 電腦網路攻擊
  • 資產泡沫化
  • 州間糾紛
  • 恐怖行動資金籌措
  • 亞太地區:國防安全保障及公共安全市場成長要素
  • 水危機
  • 恐怖行動攻擊
  • 人為的環境災害
  • 自然災害
  • 電腦網路攻擊
  • 州間糾紛
  • 中東、非洲:國防安全保障及公共安全市場成長要素
  • 失業或不完全僱用
  • 財政危機
  • 能源價格休克
  • 南美和加勒比海地區:國防安全保障及公共安全市場成長要素
  • 國家治理的失敗
  • 經濟問題
  • 主要的基礎設施的障礙
  • COVID-19大流行的背景與評估
  • 北美:COVID-19評估
  • 歐洲:COVID-19評估
  • 南美:COVID-19評估
  • 亞太地區:COVID-19評估
  • 中東、非洲:COVID-19評估

第7章 國防安全保障,公共安全,及國家安全保障機關的背景

第8章 資料的劇增

第9章 資料來源的類型

  • 被動式資料來源
  • 活性資料來源
  • 資料來源
    • OSINT(社群媒體和Web)

第10章 根據假資訊宣傳活動被生成的威脅

  • 選舉活動和政治
  • 金融詐騙
  • 公共衛生
  • 詐騙
  • 電腦網路對應的犯罪
  • 復仇式色情和性勒索

第11章 科技

  • 相關市場(2020-2026)
  • 市場分析(2020-2026)
  • 市場動態(2020-2026)
  • 市場明細(2020-2026)
  • 假資訊對策技術的背景
  • 假資訊對策科技啟用和應用
    • AI機器與學習
    • 自然語言處理(NLP)
  • 殭屍網路工作
    • 所謂殭屍網路工作
    • 殭屍網路工作檢測工具
  • 假資訊對策科技類型與解決方案
    • 假新聞檢測解決方案
    • 深偽技術檢測解決方案
    • 市場規模:評估與預測(2020-2026)
    • 市場動態(2020-2026)
    • 市場明細(2020-2026)

第12章 垂直市場

  • 相關市場(2020-2026)
  • 市場分析(2020-2026)
  • 市場動態(2020-2026)
  • 市場明細(2020-2026)
  • 政府資訊機關
  • LEA和初期應變人員
  • 金融情報與詐騙偵測
  • 網路安全機關
  • 軍事及國防資訊
  • 商業著作權保護

第13章 地區市場

  • 北美市場
  • 歐洲,中東、非洲(EMEA)市場
  • 亞太地區市場

第14章 主要供應商

  • 社群媒體平台的聯合大企業假資訊檢測舉措
  • 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 免責聲明和著作權

目錄

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