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세계의 전자증거개시(eDiscovery) 시장 : 예측(2021-2026년)

eDiscovery Market - Forecasts from 2021 to 2026

리서치사 Knowledge Sourcing Intelligence
발행일 2021년 12월 상품코드 1060130
페이지 정보 영문 118 Pages 배송안내 1-2일 (영업일 기준)
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세계의 전자증거개시(eDiscovery) 시장 : 예측(2021-2026년) eDiscovery Market - Forecasts from 2021 to 2026
발행일 : 2021년 12월 페이지 정보 : 영문 118 Pages

본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 전자증거개시(eDiscovery) 시장 규모는 2019년에 124억 4,600만 달러를 기록하고, 예측기간 중 11.34%의 CAGR로 확대되어 2026년에 263억 9,900만 달러가 될 것으로 예측됩니다.

세계의 전자증거개시(eDiscovery) 시장을 조사했으며, 시장 규모와 예측, COVID-19의 영향, 시장 성장 촉진요인 및 과제, 시장 동향, 제공별, 전개 모델별, 최종사용자별, 지역별 시장 분석, 경쟁 상황, 주요 기업 개요 등의 체계적인 정보를 제공합니다.


제1장 서론

  • 시장 개요
  • Covid-19 시나리오
  • 시장 정의
  • 시장 세분화

제2장 조사 방법

  • 조사 데이터
  • 가정

제3장 주요 요약

  • 조사 하이라이트

제4장 시장 역학

  • 시장 성장 촉진요인
  • 시장 성장 억제요인
  • Porter's Five Forces 분석
    • 공급 기업의 협상력
    • 신규 참여업체의 위협
    • 구매자의 협상력
    • 대체품의 위협
    • 경쟁 기업간 경쟁 관계
  • 업계의 밸류체인 분석

제5장 세계의 eDiscovery 시장 : 제공별

  • 서론
  • 소프트웨어
  • 서비스

제6장 세계의 eDiscovery 시장 : 전개 모델별

  • 서론
  • 온프레미스
  • 클라우드

제7장 세계의 eDiscovery 시장 : 최종사용자별

  • 서론
  • 법집행기관
  • 법률사무소

제8장 세계의 eDiscovery 시장 분석 : 지역별

  • 서론
  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 남미
    • 브라질
    • 아르헨티나
    • 기타
  • 유럽
    • 영국
    • 독일
    • 이탈리아
    • 프랑스
    • 기타
  • 중동과 아프리카
    • 이스라엘
    • 사우디아라비아
    • 아랍에미리트
    • 기타
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 한국
    • 대만
    • 태국
    • 인도네시아
    • 기타

제9장 경쟁 환경과 분석

  • 주요 기업과 전략 분석
  • 신흥 기업과 고수익성 시장
  • 합병, 인수, 합의 및 협업
  • 벤더 경쟁력 매트릭스

제10장 기업 개요

  • Opentext
  • Nuix
  • IBM
  • Micro Focus
  • FTI Consulting, Inc.
  • AccessData
  • ZyLAB
  • EPIQ
  • Fronteo
  • Conduent
KSM 22.03.18

The global eDiscovery market is projected to grow at a CAGR of 11.34% to reach US$26.399 billion by 2026, from US$12.446 billion in 2019. eDiscovery refers to the electronic aspect in which information or data is collected, identified, and produced to use during a legal case. The discovery in litigations, government investigations, and other legal proceedings in which the data or information is stored in electronic form is known as eDiscovery. The purpose of using digital data is the effortless search of data electronically and owing to its volume, intangible form persistence, and transience in comparison to paper documents which need to be scrutinized manually. Also, electronic data is mainly accompanied by metadata which is not found in paper documents and plays a vital role as a part of the evidence.

Driving Factors

The increasing adoption of digital technologies around the globe has led to the surplus of exponential growth in data across all industry verticals. A majority of data has been created in the past few years and it is anticipated by the year 2021, data could grow up to 44 zettabytes approx. The extensive use of smartphones has accounted for 40% of global eCommerce transactions and therefore generating a large volume of data. The increasing use of social media platforms has accounted for the use of the internet at a larger scale due to which a large amount of content is created and distributed. All these factors have led to increasing firms for managing commercial and private data to enhance customer experience and business competitiveness. The need for efficient database applications and the implementation of scalable content management solutions has become a prime need for enterprises. The eDiscovery services and solution deliver, manage, store and capture unstructured data into structured data errorless and without any data loss.

Emergence and adoption of AI-based predictive and analytics coding for eDiscovery

One of the major reasons for the growth of this industry is the growing adoption of AI-based predictive and analytics coding for eDiscovery. The growing technological advancements in AI-based analytics are expected to advance the speed and quality of eDiscovery processes. Analytics helps in handling new types of data which include multi-media, social, BYOD, managing exploding data volumes, complying with new regulations, and managing eDiscovery costs. Predictive coding is a machine learning process that uses software and computer algorithm to anticipate the documents essential for litigations by self-leaning.


Increasing cyber-attacks and data theft activities. The increasing cyber-attacks and data theft activities have proved to be a major restraint to the global eDiscovery market. Cybersecurity has been one of the prime factors for the smooth functioning of a business and its operations. Cybercrime and data theft activities have risen at a significant rate and a surge in sophisticated phishing email schemes has been observed, in the past few years. The improper knowledge and lack of cybersecurity systems in various organizations have led to data loss. The growing cyber-attacks have restrained the growth of the market as these solutions process crucial business data which might impact the brand image, business strategy of the enterprise.

Impact of COVID-19

The COVID-19 pandemic has had a considerable impact on the world as a whole and has led to economic breakdown and loss of life. The impact of COVID-19 on the global eDiscovery market has been negative as due to the lockdown litigation processes were on hold as courts were forced to shut down due to the extensive spread of the virus around the globe which accounted for the adoption of eDiscovery solutions for the continuation of operation worldwide. The extensive spread of the virus has led to organizations adopting virtual private network connectivity, work from home services, and social distancing leading to the adoption and requirement of cloud-based eDiscovery solutions. The spread of the virus globally has led to eDiscovery professionals to revise their business strategies and make prompt decisions to support the processing, review, and collection of ESI. The emergence of new variants of the virus has led to discussions among legal, business, and IT professionals in the eDiscovery ecosystem to execute and plan the core eDiscovery task of collecting during the ongoing outbreak.

Market Segmentation

By offering, the global eDiscovery market is segmented into software and services. The software segment is anticipated to grow at a faster pace as it enables efficient and easy implementation of the Electronic Discovery Reference Model (EDRM) which has a collection, preservation, identification, production, processing, and review of important data during legal cases. By end-use industry, the global eDiscovery market is segmented into law enforcement agencies and law firms.

By deployment type, the global eDiscovery market is segmented into cloud and on-premises. The cloud segment is anticipated to have a large share of the market owing to its several benefits which include scalability, interoperability, reduced infrastructure costs, and flexibility. Also due to the current COVID-19 scenario, various enterprises have adopted cloud servers for the storage of data.

Geographically, the North American region is anticipated to have maximum growth owing to the increasing adoption of eDiscovery solutions in the region and stringent compliance regulations. The adoption of eDiscovery by enterprises and companies in the region for the regulation of cyber security and data breaches, differences, and privacy issues, handle cross-border jurisdiction, maintain standards to meet all discovery obligations, and manage investigation matters and litigations.

Competitive Insights

The market leaders in the eDiscovery market are: Opentext, Nuix, IBM, Micro Focus, Catalyst Repository Systems, FTI Consulting, Inc., AccessData, ZyLAB, EPIQ, Fronteo and Conduent


The global eDiscovery market is segmented by offering, deployment model, end-user, and geography.

By Offering

  • Software
  • Services

By Deployment Model

  • On-premise
  • Cloud

By End-User

  • Law Enforcement Agencies
  • Law Firms

By Geography

  • North America
    • United States
    • Canada
    • Mexico
    • Others
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Taiwan
    • Thailand
    • Indonesia
    • Others

Table of Contents

1. Introduction

  • 1.1. Market Overview
  • 1.2. Covid-19 Scenario
  • 1.3. Market Definition
  • 1.4. Market Segmentation

2. Research Methodology

  • 2.1. Research Data
  • 2.2. Assumptions

3. Executive Summary

  • 3.1. Research Highlights

4. Market Dynamics

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. Global eDiscovery Market by Offering

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. Global eDiscovery Market by Deployment Model

  • 6.1. Introduction
  • 6.2. On-premise
  • 6.3. Cloud

7. Global eDiscovery Market by End User

  • 7.1. Introduction
  • 7.2. Law Enforcement Agencies
  • 7.3. Law Firms

8. Global eDiscovery Market Analysis, By Geography

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. United States
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. UK
    • 8.4.2. Germany
    • 8.4.3. Italy
    • 8.4.4. France
    • 8.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Israel
    • 8.5.2. Saudi Arabia
    • 8.5.3. UAE
    • 8.5.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Taiwan
    • 8.6.6. Thailand
    • 8.6.7. Indonesia
    • 8.6.8. Others

9. Competitive Environment and Analysis

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. Company Profiles

  • 10.1. Opentext
  • 10.2. Nuix
  • 10.3. IBM
  • 10.4. Micro Focus
  • 10.5. FTI Consulting, Inc.
  • 10.6. AccessData
  • 10.7. ZyLAB
  • 10.8. EPIQ
  • 10.9. Fronteo
  • 10.10. Conduent
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