시장보고서
상품코드
1403589

세계의 데이터 디스커버리 시장 - 시장 규모, 점유율, 산업 동향 분석 보고서 : 제공 제품별, 전개별, 용도별, 최종 용도별, 지역별 전망 및 예측(2023-2030년)

Global Data Discovery Market Size, Share & Industry Trends Analysis Report By Offering (Solutions, and Services), By Deployment (On-premises, and Cloud), By Application, By End-use, By Regional Outlook and Forecast, 2023 - 2030

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 319 Pages | 배송안내 : 즉시배송

    
    
    



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

데이터 검색 시장 규모는 2030년까지 294억 달러에 이를 것으로 예측되며, 예측 기간 동안 CAGR은 15.2%의 성장률로 상승할 전망입니다.

그러나 커뮤니케이션 부족은 데이터의 품질 저하, 부정확한 분석, 신뢰할 수 없는 인사이트를 가져오고, 데이터 탐색 노력의 전반적인 효과에 영향을 미칠 수 있습니다. 데이터 분석, 해석 및 의사결정 지연은 비즈니스 사용자와 기술 팀이 분리되어 작업할 때 발생할 수 있습니다. 이 정체는 조직이 시장 변화 및 기회에 신속하게 대응하는 것을 방해합니다. 협업 제한으로 인해 데이터 거버넌스의 틀이 불충분해져 데이터 보안, 규정 준수 및 조직 전체의 데이터 관리 문제가 발생할 수 있습니다. 제한적인 협업은 데이터 발견 툴의 이용을 초기 도입의 범위를 넘어 확장하는 것을 어렵게 하고, 데이터 중심의 의사 결정의 광범위한 채용을 제한할 수 있습니다. 제한된 협업은 시장 성장을 방해하는 중요한 과제입니다.

서비스 전망

제공 제품을 통해 시장은 솔루션 및 서비스로 분류됩니다. 2022년 시장에서는 서비스 분야가 상당한 수익 점유율을 차지하고 있습니다. 서비스는 기업이 데이터 검색 도구를 기존 인프라에 원활하게 구축하고 통합할 수 있도록 지원합니다. 여기에는 도구 설정, 데이터 연결 설정, 다른 소프트웨어 애플리케이션과의 통합이 포함됩니다. 교육 서비스는 서비스 분야의 중요한 요소입니다. 교육 서비스는 팀 기술에 필요한 교육 프로그램을 조직에 제공하고 데이터 검색 도구를 효과적으로 사용하는 데 필요한 지식을 사용자에게 제공합니다. 교육 서비스는 사용자의 기술적 숙련도를 높이고 조직 내 셀프 서비스 분석 문화를 촉진합니다.

전개 전망

배포를 기반으로 시장은 클라우드와 온프레미스로 분류됩니다. 2022년에는 온프레미스 부문이 최대 판매 점유율을 차지하고 시장을 독점했습니다. 온프레미스 솔루션은 조직에 더 많은 데이터 관리 및 보안을 제공합니다. 금융, 헬스케어, 정부 기관 등 데이터의 프라이버시 및 컴플라이언스에 대한 요구가 까다로운 업계도 있습니다. 온프레미스를 도입하면 이러한 조직이 기밀 데이터를 인프라 내에서 관리할 수 있게 되어 규제 기준을 준수하고 전반적인 데이터 보안을 강화할 수 있습니다.

용도 전망

용도별로 볼 때 시장은 보안 및 위험 관리, 자산 관리, 판매 및 마케팅 관리, 공급망 관리 등으로 나뉩니다. 판매 및 마케팅 관리 분야는 2022년 시장에서 현저한 수익 점유율을 기록했습니다. 영업 및 마케팅 팀은 잠재 고객에게 데이터 검색 솔루션의 가치 제안을 명확하게 설명합니다. 여기에는 이러한 도구가 데이터 분석 프로세스를 개선하고 의사결정을 강화하며 비즈니스 성공에 기여하는 방법을 알 수 있습니다. 구체적인 이점을 보여줌으로써 기업은 데이터 검색에 투자하는 가치를 이해할 수 있습니다. 영업 및 마케팅은 잠재 고객을 파악하고 육성하기 위한 리드 제너레이션 전략에서 협력합니다. 여기에는 디지털 마케팅, 이벤트, 웹 세미나, 컨텐츠 마케팅 등 다양한 채널을 활용하고 데이터 검색 솔루션에 관심이 있는 리드를 수집하는 작업이 포함됩니다. 효과적인 리드 생성은 사용자 기반을 확대하고 채택을 촉진하는 데 매우 중요합니다.

최종 용도 전망

최종 용도별로 보면 시장은 IT 및 통신, 정부, 은행, 금융서비스 및 보험(BFSI), 소매 및 전자상거래, 미디어 및 엔터테인먼트, 헬스케어 및 생명과학, 운송 및 물류, 기타로 세분화됩니다. 2022년에는 BFSI 부문이 시장에서 가장 큰 수익 점유율을 차지했습니다. BFSI 부문은 지속적인 악성 위협에 직면하고 있으며 데이터 발견 도구는 악성 탐지 및 예방에 매우 중요합니다. 거래 데이터의 패턴을 분석함으로써 이러한 도구는 비정상적인, 의심스러운 활동, 잠재적인 사기 행위를 파악할 수 있으며, 조직은 적시에 조치를 취할 수 있습니다. 이 도구를 사용하면 자산 운영 전문가가 고객의 포트폴리오, 투자 동향 및 데이터를 분석할 수 있습니다. 이를 통해 보다 나은 금융 계획, 자산 배분 및 투자 전략을 지원하고 웰스 매니지먼트 고객에게 더 많은 정보를 기반으로 의사 결정을 내릴 수 있습니다.

지역별 전망

지역별로 볼 때 시장은 북미, 유럽, 아시아태평양, LAMEA에서 분석됩니다. 2022년에는 북미가 가장 높은 수익 점유율을 획득하여 시장을 선도했습니다. 북미는 기술 혁신의 중심지이며 많은 주요 하이테크 기업의 본거지입니다. 이 지역은 고급 분석 및 데이터 검색 솔루션과 같은 최첨단 기술을 빠르게 도입하고 있습니다. 이 지역에는 금융, 헬스케어, 기술, 제조업 등 다양한 업종에 걸친 대규모 및 다양한 기업이 다수 존재하고 있습니다. 북미의 건강 관리 부서는 의료 연구, 환자 관리 및 업무 최적화를 위한 데이터 검색 도구의 도입에 특히 적극적입니다.

시장의 대기업은 시장 경쟁력을 유지하기 위해 다양한 혁신적인 제품으로 경쟁하고 있습니다. 위 그림은 이 시장에서 주요 기업의 매출 비율을 보여줍니다. 시장의 선도 기업은 다양한 산업 수요에 부응하기 위해 다양한 전략을 채택하고 있습니다. 이 시장의 주요 개발 전략은 인수, 파트너십 및 협업입니다.

목차

제1장 시장 범위 및 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 요람

  • 주요 하이라이트

제3장 시장 개요

  • 서문
    • 개요
      • 시장구성 및 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인

제4장 경쟁 분석-세계

  • 시장 점유율 분석(2022년)
  • Porter's Five Forces 분석

제5장 세계 시장 : 제공 제품별

  • 세계의 솔루션 시장 : 지역별
  • 세계의 서비스 시장 : 지역별

제6장 세계 시장 : 전개별

  • 세계의 온프레미스 시장 : 지역별
  • 세계의 클라우드 시장 : 지역별

제7장 세계 시장 : 용도별

  • 세계의 보안 및 리스크 관리 시장 : 지역별
  • 세계의 자산 관리 시장 : 지역별
  • 세계의 판매 및 마케팅 관리 시장 : 지역별
  • 세계의 공급망 관리 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제8장 세계 시장 : 최종 용도별

  • 세계의 BFSI 시장 : 지역별
  • 세계의 소매 및 전자상거래 시장 : 지역별
  • 세계의 미디어 및 엔터테인먼트 시장 : 지역별
  • 세계의 IT 및 통신 시장 : 지역별
  • 세계의 정부 시장 : 지역별
  • 세계의 헬스케어 및 생명과학 시장 : 지역별
  • 세계의 수송 및 물류 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제9장 세계 시장 : 지역별

  • 북미
    • 북미 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카, 중동 및 아프리카
    • 라틴아메리카, 중동 및 아프리카 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카
      • 나이지리아
      • 기타 라틴아메리카, 중동 및 아프리카

제10장 기업 프로파일

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Salesforce, Inc
  • SAS Institute, Inc
  • Google LLC(Alphabet Inc)
  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • Open Text Corporation
  • MicroStrategy, Inc
  • Cloudera, Inc

제11장 시장을 위한 성공 필수 조건

AJY 24.02.01

The Global Data Discovery Market size is expected to reach $29.4 billion by 2030, rising at a market growth of 15.2 % CAGR during the forecast period.

Data discovery tools are crucial for monitoring and analyzing network performance data. Network reliability and speed are paramount in the IT & telecommunications segment; these tools enable organizations to identify and address issues, optimize data flow, and ensure a seamless user experience. Therefore, the IT & Telecommunication segment acquired $1,298.3 million in 2022. Security is a top priority in the IT & telecommunications segment. The tools assist in identifying patterns and anomalies that may indicate fraudulent activities or security breaches. Organizations can enhance cybersecurity and protect sensitive information by analyzing large datasets. Some of the factors impacting the market are increasing awareness of data-driven decision-making, rising adoption of business intelligence (BI), and limited collaboration between business and technical teams.

There is a growing awareness among businesses about the benefits of data-driven decision-making. As organizations recognize the strategic value of leveraging data for insights, they invest in data discovery tools to empower decision-makers with actionable information. The key driver is the awareness that data discovery tools empower business users to explore and analyse data independently. As non-technical users become aware of the accessibility and user-friendly interfaces of these tools, they are more inclined to leverage data for decision-making without heavy reliance on IT departments. There is a cultural shift within organizations toward embracing analytics as a core component of their operations. The awareness that a data-driven culture fosters innovation, problem-solving, and continuous improvement prompts organizations to adopt data discovery tools as part of their analytical initiatives. Additionally, the broader adoption of BI solutions is contributing to the growth of the market. As organizations recognize the value of BI in gaining actionable insights from data, they are turning to data discovery tools to enhance their analytics capabilities. BI adoption raises overall data awareness within organizations. As businesses become more conscious of the value of data for decision-making, there is a natural inclination to explore data discovery tools. Users can utilize these tools to explore deeper into data, uncover insights, and gain a more granular understanding of business metrics. BI adoption often precedes or goes together with efforts to empower business users. As organizations seek to democratize data and analytics, there is a growing need for user-friendly tools that enable non-technical users to explore and analyse data independently. The tools fulfil these needs, fostering a self-service analytics culture. BI tools are known for their ability to create static reports and dashboards. Organizations leveraging BI in the cloud are more inclined to explore cloud-based data discovery solutions to create a unified and scalable analytics ecosystem. The rising adoption of business intelligence (BI) has been a pivotal factor in driving the growth of the market.

However, the lack of communication may result in poor data quality, inaccurate analyses, and unreliable insights, impacting the overall effectiveness of data discovery efforts. Data analysis, interpretation, and decision-making delays can occur when business users and technical teams work in isolation. This sluggishness can hinder organizations from responding promptly to market changes and opportunities. Limited collaboration can result in inadequate data governance frameworks, leading to data security, compliance, and overall organizational data management issues. Limited collaboration can make it challenging to expand the use of data discovery tools beyond initial implementations, restricting the broader adoption of data-driven decision-making. Limited collaboration is a significant challenge that hampers the growth of market.

Offering Outlook

By offering, the market is categorized into solutions and services. The services segment covered a considerable revenue share in the market in 2022. The services assist organizations in seamlessly implementing and integrating data discovery tools into their existing infrastructure. This includes configuring tools, setting up data connections, and integrating with other software applications. Training services are a crucial component of the services segment. They provide organizations with the necessary training programs to upskill their teams and empower users with the knowledge required to use data discovery tools effectively. Training services enhance the technical proficiency of users, promoting a culture of self-service analytics within the organization.

Deployment Outlook

Based on deployment, the market is classified into cloud and on-premise. In 2022, the on-premise segment dominated the market with maximum revenue share. On-premise solutions provide organizations with more control and security over their data. Some industries like finance, healthcare, and government have stringent data privacy and compliance requirements. On-premise deployments allow these organizations to maintain sensitive data within their infrastructure, ensuring compliance with regulatory standards and enhancing overall data security.

Application Outlook

On the basis of application, the market is divided into security & risk management, asset management, sales & marketing management, supply chain management, and others. The sales & marketing management segment recorded a remarkable revenue share in the market in 2022. Sales & marketing teams articulate the value proposition of data discovery solutions to potential customers. This involves communicating how these tools can improve data analysis processes, enhance decision-making, and contribute to business success. Demonstrating the tangible benefits helps organizations understand the value of investing in data discovery. Sales & marketing collaborate on lead-generation strategies to identify and nurture potential customers. This includes leveraging various channels such as digital marketing, events, webinars, and content marketing to attract leads interested in data discovery solutions. Effective lead generation is crucial for expanding the user base and driving adoption.

End-use Outlook

By end-use, the market fragmented into IT & telecommunication, government, BFSI, retail & e-commerce, media & entertainment, healthcare & lifesciences, transportation & logistics, and others. In 2022, the BFSI segment witnessed the largest revenue share in the market. The BFSI segment faces constant fraud threats, and data discovery tools are crucial in fraud detection and prevention. By analyzing transactional data patterns, these tools can identify anomalies, suspicious activities, and potential fraud, enabling organizations to take timely action. The tools empower wealth management professionals to analyze client portfolios, investment trends, and data. This supports better financial planning, asset allocation, and investment strategies, leading to more informed decision-making for wealth management clients.

Regional Outlook

Region-wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region led the market by generating the highest revenue share. North America is a hub for technological innovation and home to many leading tech companies. The region has quickly adopted cutting-edge technologies, including advanced analytics and data discovery solutions. The region has many large and diverse enterprises across numerous industries, including finance, healthcare, technology, and manufacturing. The healthcare sector in North America has been particularly active in adopting data discovery tools for medical research, patient care, and operational optimization.

The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc., SAS Institute Inc., Google LLC (Alphabet Inc.), Amazon Web Services, Inc. (Amazon.Com, Inc.), Open Text Corporation, MicroStrategy, Inc. and Cloudera, Inc.

Scope of the Study

Market Segments covered in the Report:

By Offering

  • Solutions
  • Services

By Deployment

  • On-premise
  • Cloud

By Application

  • Security & Risk Management
  • Asset Management
  • Sales & Marketing Management
  • Supply Chain Management
  • Others

By End-use

  • BFSI
  • Retail & E-commerce
  • Media & Entertainment
  • IT & Telecommunication
  • Government
  • Healthcare & Lifesciences
  • Transportation & Logistics
  • Others

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Companies Profiled

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Salesforce, Inc.
  • SAS Institute Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.Com, Inc.)
  • Open Text Corporation
  • MicroStrategy, Inc.
  • Cloudera, Inc.

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  • Highest number of market tables and figures
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Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Data Discovery Market, by Offering
    • 1.4.2 Global Data Discovery Market, by Deployment
    • 1.4.3 Global Data Discovery Market, by Application
    • 1.4.4 Global Data Discovery Market, by End-use
    • 1.4.5 Global Data Discovery Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market At a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints

Chapter 4. Competition Analysis - Global

  • 4.1 Market Share Analysis, 2022
  • 4.2 Porter Five Forces Analysis

Chapter 5. Global Data Discovery Market by Offering

  • 5.1 Global Solutions Market by Region
  • 5.2 Global Services Market by Region

Chapter 6. Global Data Discovery Market by Deployment

  • 6.1 Global On-premise Market by Region
  • 6.2 Global Cloud Market by Region

Chapter 7. Global Data Discovery Market by Application

  • 7.1 Global Security & Risk Management Market by Region
  • 7.2 Global Asset Management Market by Region
  • 7.3 Global Sales & Marketing Management Market by Region
  • 7.4 Global Supply Chain Management Market by Region
  • 7.5 Global Others Market by Region

Chapter 8. Global Data Discovery Market by End-use

  • 8.1 Global BFSI Market by Region
  • 8.2 Global Retail & E-commerce Market by Region
  • 8.3 Global Media & Entertainment Market by Region
  • 8.4 Global IT & Telecommunication Market by Region
  • 8.5 Global Government Market by Region
  • 8.6 Global Healthcare & Lifesciences Market by Region
  • 8.7 Global Transportation & Logistics Market by Region
  • 8.8 Global Others Market by Region

Chapter 9. Global Data Discovery Market by Region

  • 9.1 North America Data Discovery Market
    • 9.1.1 North America Data Discovery Market by Offering
      • 9.1.1.1 North America Solutions Market by Region
      • 9.1.1.2 North America Services Market by Region
    • 9.1.2 North America Data Discovery Market by Deployment
      • 9.1.2.1 North America On-premise Market by Region
      • 9.1.2.2 North America Cloud Market by Region
    • 9.1.3 North America Data Discovery Market by Application
      • 9.1.3.1 North America Security & Risk Management Market by Country
      • 9.1.3.2 North America Asset Management Market by Country
      • 9.1.3.3 North America Sales & Marketing Management Market by Country
      • 9.1.3.4 North America Supply Chain Management Market by Country
      • 9.1.3.5 North America Others Market by Country
    • 9.1.4 North America Data Discovery Market by End-use
      • 9.1.4.1 North America BFSI Market by Country
      • 9.1.4.2 North America Retail & E-commerce Market by Country
      • 9.1.4.3 North America Media & Entertainment Market by Country
      • 9.1.4.4 North America IT & Telecommunication Market by Country
      • 9.1.4.5 North America Government Market by Country
      • 9.1.4.6 North America Healthcare & Lifesciences Market by Country
      • 9.1.4.7 North America Transportation & Logistics Market by Country
      • 9.1.4.8 North America Others Market by Country
    • 9.1.5 North America Data Discovery Market by Country
      • 9.1.5.1 US Data Discovery Market
        • 9.1.5.1.1 US Data Discovery Market by Offering
        • 9.1.5.1.2 US Data Discovery Market by Deployment
        • 9.1.5.1.3 US Data Discovery Market by Application
        • 9.1.5.1.4 US Data Discovery Market by End-use
      • 9.1.5.2 Canada Data Discovery Market
        • 9.1.5.2.1 Canada Data Discovery Market by Offering
        • 9.1.5.2.2 Canada Data Discovery Market by Deployment
        • 9.1.5.2.3 Canada Data Discovery Market by Application
        • 9.1.5.2.4 Canada Data Discovery Market by End-use
      • 9.1.5.3 Mexico Data Discovery Market
        • 9.1.5.3.1 Mexico Data Discovery Market by Offering
        • 9.1.5.3.2 Mexico Data Discovery Market by Deployment
        • 9.1.5.3.3 Mexico Data Discovery Market by Application
        • 9.1.5.3.4 Mexico Data Discovery Market by End-use
      • 9.1.5.4 Rest of North America Data Discovery Market
        • 9.1.5.4.1 Rest of North America Data Discovery Market by Offering
        • 9.1.5.4.2 Rest of North America Data Discovery Market by Deployment
        • 9.1.5.4.3 Rest of North America Data Discovery Market by Application
        • 9.1.5.4.4 Rest of North America Data Discovery Market by End-use
  • 9.2 Europe Data Discovery Market
    • 9.2.1 Europe Data Discovery Market by Offering
      • 9.2.1.1 Europe Solutions Market by Country
      • 9.2.1.2 Europe Services Market by Country
    • 9.2.2 Europe Data Discovery Market by Deployment
      • 9.2.2.1 Europe On-premise Market by Country
      • 9.2.2.2 Europe Cloud Market by Country
    • 9.2.3 Europe Data Discovery Market by Application
      • 9.2.3.1 Europe Security & Risk Management Market by Country
      • 9.2.3.2 Europe Asset Management Market by Country
      • 9.2.3.3 Europe Sales & Marketing Management Market by Country
      • 9.2.3.4 Europe Supply Chain Management Market by Country
      • 9.2.3.5 Europe Others Market by Country
    • 9.2.4 Europe Data Discovery Market by End-use
      • 9.2.4.1 Europe BFSI Market by Country
      • 9.2.4.2 Europe Retail & E-commerce Market by Country
      • 9.2.4.3 Europe Media & Entertainment Market by Country
      • 9.2.4.4 Europe IT & Telecommunication Market by Country
      • 9.2.4.5 Europe Government Market by Country
      • 9.2.4.6 Europe Healthcare & Lifesciences Market by Country
      • 9.2.4.7 Europe Transportation & Logistics Market by Country
      • 9.2.4.8 Europe Others Market by Country
    • 9.2.5 Europe Data Discovery Market by Country
      • 9.2.5.1 Germany Data Discovery Market
        • 9.2.5.1.1 Germany Data Discovery Market by Offering
        • 9.2.5.1.2 Germany Data Discovery Market by Deployment
        • 9.2.5.1.3 Germany Data Discovery Market by Application
        • 9.2.5.1.4 Germany Data Discovery Market by End-use
      • 9.2.5.2 UK Data Discovery Market
        • 9.2.5.2.1 UK Data Discovery Market by Offering
        • 9.2.5.2.2 UK Data Discovery Market by Deployment
        • 9.2.5.2.3 UK Data Discovery Market by Application
        • 9.2.5.2.4 UK Data Discovery Market by End-use
      • 9.2.5.3 France Data Discovery Market
        • 9.2.5.3.1 France Data Discovery Market by Offering
        • 9.2.5.3.2 France Data Discovery Market by Deployment
        • 9.2.5.3.3 France Data Discovery Market by Application
        • 9.2.5.3.4 France Data Discovery Market by End-use
      • 9.2.5.4 Russia Data Discovery Market
        • 9.2.5.4.1 Russia Data Discovery Market by Offering
        • 9.2.5.4.2 Russia Data Discovery Market by Deployment
        • 9.2.5.4.3 Russia Data Discovery Market by Application
        • 9.2.5.4.4 Russia Data Discovery Market by End-use
      • 9.2.5.5 Spain Data Discovery Market
        • 9.2.5.5.1 Spain Data Discovery Market by Offering
        • 9.2.5.5.2 Spain Data Discovery Market by Deployment
        • 9.2.5.5.3 Spain Data Discovery Market by Application
        • 9.2.5.5.4 Spain Data Discovery Market by End-use
      • 9.2.5.6 Italy Data Discovery Market
        • 9.2.5.6.1 Italy Data Discovery Market by Offering
        • 9.2.5.6.2 Italy Data Discovery Market by Deployment
        • 9.2.5.6.3 Italy Data Discovery Market by Application
        • 9.2.5.6.4 Italy Data Discovery Market by End-use
      • 9.2.5.7 Rest of Europe Data Discovery Market
        • 9.2.5.7.1 Rest of Europe Data Discovery Market by Offering
        • 9.2.5.7.2 Rest of Europe Data Discovery Market by Deployment
        • 9.2.5.7.3 Rest of Europe Data Discovery Market by Application
        • 9.2.5.7.4 Rest of Europe Data Discovery Market by End-use
  • 9.3 Asia Pacific Data Discovery Market
    • 9.3.1 Asia Pacific Data Discovery Market by Offering
      • 9.3.1.1 Asia Pacific Solutions Market by Country
      • 9.3.1.2 Asia Pacific Services Market by Country
    • 9.3.2 Asia Pacific Data Discovery Market by Deployment
      • 9.3.2.1 Asia Pacific On-premise Market by Country
      • 9.3.2.2 Asia Pacific Cloud Market by Country
    • 9.3.3 Asia Pacific Data Discovery Market by Application
      • 9.3.3.1 Asia Pacific Security & Risk Management Market by Country
      • 9.3.3.2 Asia Pacific Asset Management Market by Country
      • 9.3.3.3 Asia Pacific Sales & Marketing Management Market by Country
      • 9.3.3.4 Asia Pacific Supply Chain Management Market by Country
      • 9.3.3.5 Asia Pacific Others Market by Country
    • 9.3.4 Asia Pacific Data Discovery Market by End-use
      • 9.3.4.1 Asia Pacific BFSI Market by Country
      • 9.3.4.2 Asia Pacific Retail & E-commerce Market by Country
      • 9.3.4.3 Asia Pacific Media & Entertainment Market by Country
      • 9.3.4.4 Asia Pacific IT & Telecommunication Market by Country
      • 9.3.4.5 Asia Pacific Government Market by Country
      • 9.3.4.6 Asia Pacific Healthcare & Lifesciences Market by Country
      • 9.3.4.7 Asia Pacific Transportation & Logistics Market by Country
      • 9.3.4.8 Asia Pacific Others Market by Country
    • 9.3.5 Asia Pacific Data Discovery Market by Country
      • 9.3.5.1 China Data Discovery Market
        • 9.3.5.1.1 China Data Discovery Market by Offering
        • 9.3.5.1.2 China Data Discovery Market by Deployment
        • 9.3.5.1.3 China Data Discovery Market by Application
        • 9.3.5.1.4 China Data Discovery Market by End-use
      • 9.3.5.2 Japan Data Discovery Market
        • 9.3.5.2.1 Japan Data Discovery Market by Offering
        • 9.3.5.2.2 Japan Data Discovery Market by Deployment
        • 9.3.5.2.3 Japan Data Discovery Market by Application
        • 9.3.5.2.4 Japan Data Discovery Market by End-use
      • 9.3.5.3 India Data Discovery Market
        • 9.3.5.3.1 India Data Discovery Market by Offering
        • 9.3.5.3.2 India Data Discovery Market by Deployment
        • 9.3.5.3.3 India Data Discovery Market by Application
        • 9.3.5.3.4 India Data Discovery Market by End-use
      • 9.3.5.4 South Korea Data Discovery Market
        • 9.3.5.4.1 South Korea Data Discovery Market by Offering
        • 9.3.5.4.2 South Korea Data Discovery Market by Deployment
        • 9.3.5.4.3 South Korea Data Discovery Market by Application
        • 9.3.5.4.4 South Korea Data Discovery Market by End-use
      • 9.3.5.5 Singapore Data Discovery Market
        • 9.3.5.5.1 Singapore Data Discovery Market by Offering
        • 9.3.5.5.2 Singapore Data Discovery Market by Deployment
        • 9.3.5.5.3 Singapore Data Discovery Market by Application
        • 9.3.5.5.4 Singapore Data Discovery Market by End-use
      • 9.3.5.6 Malaysia Data Discovery Market
        • 9.3.5.6.1 Malaysia Data Discovery Market by Offering
        • 9.3.5.6.2 Malaysia Data Discovery Market by Deployment
        • 9.3.5.6.3 Malaysia Data Discovery Market by Application
        • 9.3.5.6.4 Malaysia Data Discovery Market by End-use
      • 9.3.5.7 Rest of Asia Pacific Data Discovery Market
        • 9.3.5.7.1 Rest of Asia Pacific Data Discovery Market by Offering
        • 9.3.5.7.2 Rest of Asia Pacific Data Discovery Market by Deployment
        • 9.3.5.7.3 Rest of Asia Pacific Data Discovery Market by Application
        • 9.3.5.7.4 Rest of Asia Pacific Data Discovery Market by End-use
  • 9.4 LAMEA Data Discovery Market
    • 9.4.1 LAMEA Data Discovery Market by Offering
      • 9.4.1.1 LAMEA Solutions Market by Country
      • 9.4.1.2 LAMEA Services Market by Country
    • 9.4.2 LAMEA Data Discovery Market by Deployment
      • 9.4.2.1 LAMEA On-premise Market by Country
      • 9.4.2.2 LAMEA Cloud Market by Country
    • 9.4.3 LAMEA Data Discovery Market by Application
      • 9.4.3.1 LAMEA Security & Risk Management Market by Country
      • 9.4.3.2 LAMEA Asset Management Market by Country
      • 9.4.3.3 LAMEA Sales & Marketing Management Market by Country
      • 9.4.3.4 LAMEA Supply Chain Management Market by Country
      • 9.4.3.5 LAMEA Others Market by Country
    • 9.4.4 LAMEA Data Discovery Market by End-use
      • 9.4.4.1 LAMEA BFSI Market by Country
      • 9.4.4.2 LAMEA Retail & E-commerce Market by Country
      • 9.4.4.3 LAMEA Media & Entertainment Market by Country
      • 9.4.4.4 LAMEA IT & Telecommunication Market by Country
      • 9.4.4.5 LAMEA Government Market by Country
      • 9.4.4.6 LAMEA Healthcare & Lifesciences Market by Country
      • 9.4.4.7 LAMEA Transportation & Logistics Market by Country
      • 9.4.4.8 LAMEA Others Market by Country
    • 9.4.5 LAMEA Data Discovery Market by Country
      • 9.4.5.1 Brazil Data Discovery Market
        • 9.4.5.1.1 Brazil Data Discovery Market by Offering
        • 9.4.5.1.2 Brazil Data Discovery Market by Deployment
        • 9.4.5.1.3 Brazil Data Discovery Market by Application
        • 9.4.5.1.4 Brazil Data Discovery Market by End-use
      • 9.4.5.2 Argentina Data Discovery Market
        • 9.4.5.2.1 Argentina Data Discovery Market by Offering
        • 9.4.5.2.2 Argentina Data Discovery Market by Deployment
        • 9.4.5.2.3 Argentina Data Discovery Market by Application
        • 9.4.5.2.4 Argentina Data Discovery Market by End-use
      • 9.4.5.3 UAE Data Discovery Market
        • 9.4.5.3.1 UAE Data Discovery Market by Offering
        • 9.4.5.3.2 UAE Data Discovery Market by Deployment
        • 9.4.5.3.3 UAE Data Discovery Market by Application
        • 9.4.5.3.4 UAE Data Discovery Market by End-use
      • 9.4.5.4 Saudi Arabia Data Discovery Market
        • 9.4.5.4.1 Saudi Arabia Data Discovery Market by Offering
        • 9.4.5.4.2 Saudi Arabia Data Discovery Market by Deployment
        • 9.4.5.4.3 Saudi Arabia Data Discovery Market by Application
        • 9.4.5.4.4 Saudi Arabia Data Discovery Market by End-use
      • 9.4.5.5 South Africa Data Discovery Market
        • 9.4.5.5.1 South Africa Data Discovery Market by Offering
        • 9.4.5.5.2 South Africa Data Discovery Market by Deployment
        • 9.4.5.5.3 South Africa Data Discovery Market by Application
        • 9.4.5.5.4 South Africa Data Discovery Market by End-use
      • 9.4.5.6 Nigeria Data Discovery Market
        • 9.4.5.6.1 Nigeria Data Discovery Market by Offering
        • 9.4.5.6.2 Nigeria Data Discovery Market by Deployment
        • 9.4.5.6.3 Nigeria Data Discovery Market by Application
        • 9.4.5.6.4 Nigeria Data Discovery Market by End-use
      • 9.4.5.7 Rest of LAMEA Data Discovery Market
        • 9.4.5.7.1 Rest of LAMEA Data Discovery Market by Offering
        • 9.4.5.7.2 Rest of LAMEA Data Discovery Market by Deployment
        • 9.4.5.7.3 Rest of LAMEA Data Discovery Market by Application
        • 9.4.5.7.4 Rest of LAMEA Data Discovery Market by End-use

Chapter 10. Company Profiles

  • 10.1 IBM Corporation
    • 10.1.1 Company Overview
    • 10.1.2 Financial Analysis
    • 10.1.3 Regional & Segmental Analysis
    • 10.1.4 Research & Development Expenses
    • 10.1.5 Recent strategies and developments:
      • 10.1.5.1 Partnerships, Collaborations, and Agreements:
      • 10.1.5.2 Product Launches and Product Expansions:
      • 10.1.5.3 Acquisition and Mergers:
    • 10.1.6 SWOT Analysis
  • 10.2 Microsoft Corporation
    • 10.2.1 Company Overview
    • 10.2.2 Financial Analysis
    • 10.2.3 Segmental and Regional Analysis
    • 10.2.4 Research & Development Expenses
    • 10.2.5 Recent strategies and developments:
      • 10.2.5.1 Acquisition and Mergers:
    • 10.2.6 SWOT Analysis
  • 10.3 Oracle Corporation
    • 10.3.1 Company Overview
    • 10.3.2 Financial Analysis
    • 10.3.3 Segmental and Regional Analysis
    • 10.3.4 Research & Development Expense
    • 10.3.5 SWOT Analysis
  • 10.4 Salesforce, Inc.
    • 10.4.1 Company Overview
    • 10.4.2 Financial Analysis
    • 10.4.3 Regional Analysis
    • 10.4.4 Research & Development Expense
    • 10.4.5 SWOT Analysis
  • 10.5 SAS Institute, Inc.
    • 10.5.1 Company Overview
    • 10.5.2 SWOT Analysis
  • 10.6 Google LLC (Alphabet Inc.)
    • 10.6.1 Company Overview
    • 10.6.2 Financial Analysis
    • 10.6.3 Segmental and Regional Analysis
    • 10.6.4 Research & Development Expense
    • 10.6.5 Recent strategies and developments:
      • 10.6.5.1 Partnerships, Collaborations, and Agreements:
    • 10.6.6 SWOT Analysis
  • 10.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 10.7.1 Company Overview
    • 10.7.2 Financial Analysis
    • 10.7.3 Segmental Analysis
    • 10.7.4 SWOT Analysis
  • 10.8 Open Text Corporation
    • 10.8.1 Company Overview
    • 10.8.2 Financial Analysis
    • 10.8.3 Segmental and Regional Analysis
    • 10.8.4 Research & Development Expenses
    • 10.8.5 SWOT Analysis
  • 10.9 MicroStrategy, Inc.
    • 10.9.1 Company Overview
    • 10.9.2 Financial Analysis
    • 10.9.3 Regional Analysis
    • 10.9.4 Research & Development Expenses
    • 10.9.5 SWOT Analysis
  • 10.10. Cloudera, Inc.
    • 10.10.1 Company Overview
    • 10.10.2 SWOT Analysis

Chapter 11. Winning Imperatives for Data Discovery Market

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