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데이터 수익화 시장 규모, 점유율, 동향 분석 리포트 : 조직 규모별, 방법별, 업계별, 컴포넌트별, 지역별, 부문별 예측(2024-2030년)

Data Monetization Market Size, Share & Trends Analysis Report By Organization Size, By Method, By Vertical, By Component, By Region, And Segment Forecasts, 2024 - 2030
발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 125 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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

데이터 수익화 시장 성장과 동향 :

Grand View Research, Inc.의 최신 리포트에 따르면 세계의 데이터 수익화 시장 규모는 2030년까지 160억 5,000만 달러에 달하며, 예측 기간 중 CAGR은 25.8%를 기록할 것으로 예측됩니다.

데이터 수익화는 여러 조직이 매출을 늘리기 위해 사용하는 전략입니다. 정량화 가능한 경제적 이익을 얻기 위해 데이터를 활용하는 과정입니다. 데이터 수익화에는 직접적 데이터 수익화와 간접적 데이터 수익화 두 가지 유형이 있습니다.

기업이 데이터를 활용해 새로운 고객과 비즈니스 기회를 발견하는 데이터 수익화 방법에는 여러 가지가 있습니다. 이러한 데이터 수익화 방법론에는 서비스형 데이터, 서비스형 인사이트, 서비스형 분석 플랫폼, 임베디드 애널리틱스 등이 있습니다. 서비스형 분석 플랫폼은 일관된 트리거/경고와 함께 클라우드 상의 데이터에 대한 실시간 액세스를 제공하기 때문에 큰 성장이 예상됩니다.

데이터 수익화는 데이터 중심 원칙의 선구자가 될 수 있게 해주기 때문에 여러 브랜드에 촉매제가 될 것으로 예상됩니다. 데이터 수익화는 기업의 새로운 수입원을 창출할 수 있습니다. 또한 전체 영업 비용과 일반 비용의 절감을 촉진하고 매출 향상을 위한 적절한 조치를 취할 수 있게 합니다. 일부 최종 사용 산업은 데이터 매출 창출의 이점을 활용하고 있으며, 더 많은 산업이 데이터 매출 창출을 목표로 하고 있습니다.

예를 들어 소매업과 관광업계에서는 데이터 수익화를 통해 지오펜싱과 지오타깃팅이 가능해집니다. 헬스케어 분야, 정부 및 광고 대행사에서는 밀도 계획과 교통 흐름을 확보할 수 있습니다. 마찬가지로, 신용카드 회사나 금융기관은 부정사용을 탐지할 수 있습니다. 또한 스마트 타깃팅, 사물인터넷(IoT), 디지털 광고주 및 브랜드 광고주를 위한 클릭스트림 인사이트 등 다양한 기업을 위한 서비스를 제공합니다. 이러한 요인들은 예측 기간 중 시장 성장의 원동력이 될 것으로 예상됩니다.

그러나 데이터 보안 및 프라이버시, 데이터 구조의 복잡성, 다양한 규제 정책 등의 요인이 예측 기간 중 시장 성장을 저해할 것으로 예상됩니다. 그럼에도 불구하고, 데이터 수익화는 위험을 식별 및 완화하고, 컴플라이언스를 개선하며, 계획 및 의사결정을 간소화하고, 시장에서 경쟁 우위를 창출할 수 있습니다. 데이터 수익화는 시장 저해 요인을 크게 가려주고, 기업이 적절한 조치를 취할 수 있도록 돕습니다.

데이터 수익화 시장 보고서 하이라이트

  • 중소기업은 2024-2030년 연평균 29.4% 이상 성장할 것으로 예상되며, BI에 대한 수요 증가가 중소기업의 데이터 수익화 도입에 큰 영향을 미치고 있습니다.
  • 서비스형 분석 지원 플랫폼 부문은 2023년 약 38.3%의 가장 큰 매출 점유율을 차지할 것으로 예상됩니다.
  • 예를 들어 자동차 산업에서 데이터 수익화는 실시간 진단 및 예측 정비의 경우 추적과 같은 몇 가지 이점을 보장합니다. 기술 발전과 디지털화의 발전으로 차량 성능 추적이 용이해졌으며, IoT, 텔레매틱스 및 자동화의 도입은 해당 산업 시장 수요를 증가시킬 것으로 예상됩니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 데이터 수익화 변수, 동향, 범위

  • 시장 서론/계통 전망
  • 업계 밸류체인 분석
  • 시장 역학
    • 시장 촉진요인 분석
    • 시장 억제요인 분석
    • 업계의 기회
  • 데이터 수익화 분석 툴
    • Porter의 산업 분석
    • PESTEL 분석

제4장 데이터 수익화 : 방법 추정·동향 분석

  • 데이터 수익화 : 방법 변동 분석, 2023년 및 2030년
  • Data as a service
    • 시장 규모 추정과 예측, 2018-2030년
  • Insight as a service
    • 시장 규모 추정과 예측, 2018-2030년
  • Analytics-enabled platform as a service
    • 시장 규모 추정과 예측, 2018-2030년
  • 임베디드 분석
    • 시장 규모 추정과 예측, 2018-2030년

제5장 데이터 수익화 : 조직 규모 추정·동향 분석

  • 데이터 수익화 : 조직 규모 변동 분석, 2023년 및 2030년
  • 대기업
    • 시장 규모 추정과 예측, 2018-2030년
  • 중소기업
    • 시장 규모 추정과 예측, 2018-2030년

제6장 데이터 수익화 : 수직 추정·동향 분석

  • 데이터 수익화 : 수직 변동 분석, 2023년 및 2030년
  • BFSI
    • 시장 규모 추정과 예측, 2018-2030년
  • E-Commerce와 소매
    • 시장 규모 추정과 예측, 2018-2030년
  • 통신·IT
    • 시장 규모 추정과 예측, 2018-2030년
  • 제조업
    • 시장 규모 추정과 예측, 2018-2030년
  • 헬스케어
    • 시장 규모 추정과 예측, 2018-2030년
  • 에너지·유틸리티
    • 시장 규모 추정과 예측, 2018-2030년
  • 기타
    • 시장 규모 추정과 예측, 2018-2030년

제7장 데이터 수익화 : 컴포넌트 추정·동향 분석

  • 데이터 수익화 : 컴포넌트 변동 분석, 2023년 및 2030년
  • 컨설팅
    • 시장 규모 추정과 예측, 2018-2030년
  • 실장과 통합
    • 시장 규모 추정과 예측, 2018-2030년
  • 서비스
    • 시장 규모 추정과 예측, 2018-2030년
  • 지원과 정비
    • 시장 규모 추정과 예측, 2018-2030년
  • 툴
    • 시장 규모 추정과 예측, 2018-2030년

제8장 데이터 수익화 시장 : 지역 추정·동향 분석

  • 데이터 수익화 시장 점유율, 지역별, 2023년 및 2030년
  • 북미
    • 시장 추산·예측, 2018-2030년
    • 방법별, 2018-2030년
    • 조직 규모별, 2018-2030년
    • 업계별, 2018-2030년
    • 컴포넌트별, 2018-2030년
    • 미국
    • 캐나다
  • 유럽
    • 방법별, 2018-2030년
    • 조직 규모별, 2018-2030년
    • 업계별, 2018-2030년
    • 컴포넌트별, 2018-2030년
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 시장 추산·예측, 2018-2030년
    • 방법별, 2018-2030년
    • 조직 규모별, 2018-2030년
    • 업계별, 2018-2030년
    • 컴포넌트별, 2018-2030년
    • 중국
    • 인도
    • 일본
    • 호주
    • 한국
  • 라틴아메리카
    • 시장 추산·예측, 2018-2030년
    • 방법별, 2018-2030년
    • 조직 규모별, 2018-2030년
    • 업계별, 2018-2030년
    • 컴포넌트별, 2018-2030년
    • 브라질
    • 멕시코
  • 중동 및 아프리카
    • 시장 추산·예측, 2018-2030년
    • 방법별, 2018-2030년
    • 조직 규모별, 2018-2030년
    • 업계별, 2018-2030년
    • 컴포넌트별, 2018-2030년
    • 아랍에미리트
    • 사우디아라비아
    • 남아프리카공화국

제9장 경쟁 구도

  • 주요 시장 참여 기업에 의한 최근 동향과 영향 분석
  • 기업 분류
  • 기업의 시장 점유율 분석
  • 기업 히트맵 분석
  • 전략 매핑
    • 확대
    • 합병과 인수
    • 파트너십과 협업
    • 신제품의 발매
    • 연구개발
  • 기업 개요
    • Accenture
    • Adstra
    • Cisco Systems, Inc.
    • Comviva
    • Domo, Inc.
    • Thales(Gemalto NV)
    • Gulp Data
    • IBM Corporation
    • Infosys Limited
    • Monetize
    • Reltio
    • Revelate Data Monetization Corp.
    • SAP SE
KSA 24.06.21

Data Monetization Market Growth & Trends:

The global data monetization market size is expected to reach USD 16.05 billion by 2030, registering a CAGR of 25.8% during the forecast period, according to a new report by Grand View Research, Inc. Data monetization is a strategy used by several organizations to increase their revenue. It is the process of utilizing data to obtain quantifiable economic benefits. There are two types of data monetization techniques, direct data monetization, and indirect data monetization.

There are several types of data monetization methods wherein organizations use data to discover new customers and business opportunities. These data monetization methods are data as a service, insight as a service, analytics-enabled platform as service, and embedded analytics. The analytics-enabled platform as a service method is anticipated to witness significant growth as it provides real-time access to data on the cloud along with consistent triggers/alerts.

Data monetization is expected to be a catalyst for several brands as it enables them towards becoming a pioneer in data-driven principles. It creates new revenue streams for organizations. Additionally, it also promotes companies to reduce operating costs and overall general expenses and enables them to take adequate actions in improving their sales. Several end-use industries have leveraged the benefits of data monetization, and many more are moving towards data monetization.

For instance, data monetization offers geofencing and geotargeting in the retail and tourism industries. For the healthcare sector, government, and advertisement agencies, it ensures density planning and traffic flow. Similarly, it provides fraud detection for credit card companies and financial institutes. It offers smart targeting, Internet of Things (IoT), click-stream insights for digital and brand advertisers, and several other companies. Such factors are anticipated to power market growth over the forecast period.

However, factors such as data security and privacy, rising complexities in data structures, and varying regulatory policies are anticipated to hinder the market growth over the forecast period. Nevertheless, data monetization is capable of identifying and mitigating risk, improving compliance, streamlining planning and decision making, and creating a competitive advantage in the market. It has significantly shadowed market hindering factors and has enabled organizations to take adequate measures.

Data Monetization Market Report Highlights:

  • SMEs are anticipated to expand at a CAGR of over 29.4% from 2024 to 2030. Rising demand for BI has significantly impacted the adoption of data monetization amongst SMEs
  • The analytics-enabled platform as a service segment accounted for the largest revenue share of around 38.3% in 2023.
  • For instance, in the automotive industry, data monetization ensures several benefits, such as tracking in case of real-time diagnostics and predictive maintenance. Technological advancements and increased digitalization resulted in easy tracking of vehicle performance. The implementation of IoT, telematics, and automation is also expected to increase the market demand in the industry.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Data Monetization Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Drivers Analysis
    • 3.3.2. Market Restraints Analysis
    • 3.3.3. Industry Opportunities
  • 3.4. Data Monetization Analysis Tools
    • 3.4.1. Porter's Analysis
      • 3.4.1.1. Bargaining power of the suppliers
      • 3.4.1.2. Bargaining power of the buyers
      • 3.4.1.3. Threats of substitution
      • 3.4.1.4. Threats from new entrants
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL Analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Economic and Social landscape
      • 3.4.2.3. Technological landscape
      • 3.4.2.4. Environmental landscape
      • 3.4.2.5. Legal landscape

Chapter 4. Data Monetization: Method Estimates & Trend Analysis

  • 4.1. Data Monetization: Method Movement Analysis, 2023 & 2030 (USD Million)
  • 4.2. Data as a service
    • 4.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 4.3. Insight as a service
    • 4.3.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 4.4. Analytics-enabled platform as a service
    • 4.4.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 4.5. Embedded analytics
    • 4.5.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)

Chapter 5. Data Monetization: Organization Size Estimates & Trend Analysis

  • 5.1. Data Monetization: Organization Size Movement Analysis, 2023 & 2030 (USD Million)
  • 5.2. Large Enterprises
    • 5.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 5.3. SMEs
    • 5.3.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)

Chapter 6. Data Monetization: Vertical Estimates & Trend Analysis

  • 6.1. Data Monetization: Vertical Movement Analysis, 2023 & 2030 (USD Million)
  • 6.2. BFSI
    • 6.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.3. E-commerce & Retail
    • 6.3.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.4. Telecommunications & IT
    • 6.4.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.5. Manufacturing
    • 6.5.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.6. Healthcare
    • 6.6.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.7. Energy & Utilities
    • 6.7.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.8. Others
    • 6.8.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)

Chapter 7. Data Monetization: Component Estimates & Trend Analysis

  • 7.1. Data Monetization: Component Movement Analysis, 2023 & 2030 (USD Million)
  • 7.2. Consulting
    • 7.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 7.3. Implementation & Integration
    • 7.3.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 7.4. Services
    • 7.4.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 7.5. Supporting and Maintenance
    • 7.5.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 7.6. Tools
    • 7.6.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)

Chapter 8. Data Monetization Market: Regional Estimates & Trend Analysis

  • 8.1. Data Monetization Market Share, By Region, 2023 & 2030 (USD Million)
  • 8.2. North America
    • 8.2.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 8.2.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
    • 8.2.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
    • 8.2.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
    • 8.2.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.2.6. U.S.
      • 8.2.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.2.6.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.2.6.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.2.6.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.2.6.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.2.7. Canada
      • 8.2.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.2.7.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.2.7.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.2.7.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.2.7.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
  • 8.3. Europe
    • 8.3.1. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
    • 8.3.2. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
    • 8.3.3. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
    • 8.3.4. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.3.5. UK
      • 8.3.5.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.3.5.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.3.5.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.3.5.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.3.5.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.3.6. Germany
      • 8.3.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.3.6.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.3.6.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.3.6.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.3.6.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.3.7. France
      • 8.3.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.3.7.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.3.7.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.3.7.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.3.7.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 8.4.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
    • 8.4.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
    • 8.4.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
    • 8.4.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.4.6. China
      • 8.4.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.4.6.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.6.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.6.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.4.6.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.4.7. India
      • 8.4.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.4.7.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.7.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.7.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.4.7.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.4.8. Japan
      • 8.4.8.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.4.8.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.8.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.8.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.4.8.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.4.9. Australia
      • 8.4.9.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.4.9.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.9.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.9.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.4.9.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.4.10. South Korea
      • 8.4.10.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.4.10.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.10.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.4.10.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.4.10.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
  • 8.5. Latin America
    • 8.5.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 8.5.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
    • 8.5.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
    • 8.5.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
    • 8.5.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.5.6. Brazil
      • 8.5.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.5.6.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.5.6.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.5.6.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.5.6.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.5.7. Mexico
      • 8.5.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.5.7.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.5.7.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.5.7.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.5.7.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
  • 8.6. Middle East & Africa
    • 8.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 8.6.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
    • 8.6.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
    • 8.6.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
    • 8.6.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.6.6. UAE
      • 8.6.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.6.6.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.6.6.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.6.6.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.6.6.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.6.7. Saudi Arabia
      • 8.6.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.6.7.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.6.7.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.6.7.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.6.7.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)
    • 8.6.8. South Africa
      • 8.6.8.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 8.6.8.2. Market estimates and forecast by Method, 2018 - 2030 (Revenue, USD Million)
      • 8.6.8.3. Market estimates and forecast by Organization Size method, 2018 - 2030 (Revenue, USD Million)
      • 8.6.8.4. Market estimates and forecast by Vertical, 2018 - 2030 (Revenue, USD Million)
      • 8.6.8.5. Market estimates and forecast by Component, 2018 - 2030 (Revenue, USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Recent Developments & Impact Analysis by Key Market Participants
  • 9.2. Company Categorization
  • 9.3. Company Market Share Analysis
  • 9.4. Company Heat Map Analysis
  • 9.5. Strategy Mapping
    • 9.5.1. Expansion
    • 9.5.2. Mergers & Acquisition
    • 9.5.3. Partnerships & Collaborations
    • 9.5.4. New Product Launches
    • 9.5.5. Research And Development
  • 9.6. Company Profiles
    • 9.6.1. Accenture
      • 9.6.1.1. Participant's Overview
      • 9.6.1.2. Financial Performance
      • 9.6.1.3. Product Benchmarking
      • 9.6.1.4. Recent Developments
    • 9.6.2. Adstra
      • 9.6.2.1. Participant's Overview
      • 9.6.2.2. Financial Performance
      • 9.6.2.3. Product Benchmarking
      • 9.6.2.4. Recent Developments
    • 9.6.3. Cisco Systems, Inc.
      • 9.6.3.1. Participant's Overview
      • 9.6.3.2. Financial Performance
      • 9.6.3.3. Product Benchmarking
      • 9.6.3.4. Recent Developments
    • 9.6.4. Comviva
      • 9.6.4.1. Participant's Overview
      • 9.6.4.2. Financial Performance
      • 9.6.4.3. Product Benchmarking
      • 9.6.4.4. Recent Developments
    • 9.6.5. Domo, Inc.
      • 9.6.5.1. Participant's Overview
      • 9.6.5.2. Financial Performance
      • 9.6.5.3. Product Benchmarking
      • 9.6.5.4. Recent Developments
    • 9.6.6. Thales (Gemalto NV)
      • 9.6.6.1. Participant's Overview
      • 9.6.6.2. Financial Performance
      • 9.6.6.3. Product Benchmarking
      • 9.6.6.4. Recent Developments
    • 9.6.7. Gulp Data
      • 9.6.7.1. Participant's Overview
      • 9.6.7.2. Financial Performance
      • 9.6.7.3. Product Benchmarking
      • 9.6.7.4. Recent Developments
    • 9.6.8. IBM Corporation
      • 9.6.8.1. Participant's Overview
      • 9.6.8.2. Financial Performance
      • 9.6.8.3. Product Benchmarking
      • 9.6.8.4. Recent Developments
    • 9.6.9. Infosys Limited
      • 9.6.9.1. Participant's Overview
      • 9.6.9.2. Financial Performance
      • 9.6.9.3. Product Benchmarking
      • 9.6.9.4. Recent Developments
    • 9.6.10. Monetize
      • 9.6.10.1. Participant's Overview
      • 9.6.10.2. Financial Performance
      • 9.6.10.3. Product Benchmarking
      • 9.6.10.4. Recent Developments
    • 9.6.11. Reltio
      • 9.6.11.1. Participant's Overview
      • 9.6.11.2. Financial Performance
      • 9.6.11.3. Product Benchmarking
      • 9.6.11.4. Recent Developments
    • 9.6.12. Revelate Data Monetization Corp.
      • 9.6.12.1. Participant's Overview
      • 9.6.12.2. Financial Performance
      • 9.6.12.3. Product Benchmarking
      • 9.6.12.4. Recent Developments
    • 9.6.13. SAP SE
      • 9.6.13.1. Participant's Overview
      • 9.6.13.2. Financial Performance
      • 9.6.13.3. Product Benchmarking
      • 9.6.13.4. Recent Developments
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