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시장보고서
상품코드
1872253
세계의 데이터 수익화 시장 : 시장 점유율과 순위, 전체 판매 및 수요 예측(2025-2031년)Data Monetization - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
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QYResearch
세계의 데이터 수익화 시장 규모는 2024년에 39억 8,800만 달러로 추정되며, 2025년부터 2031년까지 예측 기간 동안 CAGR 19.7%로 성장하여 2031년까지 129억 100만 달러로 확대될 것으로 예측됩니다.
데이터 수익화는 기업이나 조직이 소유하거나 수집한 데이터를 직간접적으로 경제적 가치로 전환하는 과정을 말합니다. 데이터 판매뿐만 아니라 데이터 분석을 통한 내부 업무 최적화, 고객 경험 향상, 신제품 개발, 정밀한 마케팅 전략 수립을 통한 가치 창출도 포함됩니다. 데이터 수익화의 핵심은 데이터의 잠재적 가치를 파악하고, 기술, 비즈니스 모델, 컴플라이언스 체계를 통해 이를 실현하는 데 있습니다. 디지털 전환이 가속화됨에 따라 데이터는 토지, 노동력, 자본에 이어 '제5의 생산 요소'가 되었고, 그 수익화 능력은 기업의 경쟁력과 혁신 능력에 직접적인 영향을 미칩니다.
세계 데이터 수익화 시장은 최근 몇 년 동안 빠르게 발전하고 있으며, 기술 발전과 상업화 추세가 두드러지게 나타나고 있습니다. 클라우드 컴퓨팅, 빅데이터 분석, 모바일 기기의 보급으로 기업은 시장 동향과 인구통계학적 변화를 더 깊이 이해하고, 이에 따라 자산 배분, 고객 응대, 마케팅 의사결정을 최적화할 수 있습니다. 도입 형태는 온프레미스형이 여전히 일부 산업에서 주류를 유지하고 있지만, 클라우드 솔루션은 확장성과 민첩성을 무기로 영향력을 확대하며 데이터 가치의 신속한 공개를 촉진하고 있습니다. 지역별로 보면 미국 시장이 수년째 선두를 달리고 있으며, EU 지역이 그 뒤를 잇고 있습니다. 특히 EU 지역에서는 프라이버시 컴플라이언스 및 데이터 거래 프레임워크 구축이 활발하게 진행되고 있습니다. 주요 세계 공급업체로는 액센츄어, IBM, SAS, 인포시스, 아다스트라 등이 있으며, 일부는 컨설팅, 데이터 플랫폼, 분석 툴 등 다각적인 방법을 통해 기업이 데이터 자산을 실현할 수 있는 종합적인 데이터 서비스 생태계를 구축하고 있습니다. 이 시장은 초기 단계의 데이터 수집에서 데이터에 기반한 사업 최적화 및 수익 창출로 전환하고 있으며, 강력한 성장 모멘텀과 광범위한 혁신의 여지를 보여주고 있습니다. 상위 4개 세계 제조업체가 시장 점유율의 약 50%를 차지하고 있습니다.
이 보고서는 세계 데이터 수익화 시장에 대한 종합적인 분석을 제공하는 것을 목표로 합니다. 총매출액, 주요 기업의 시장 점유율과 순위에 초점을 맞추고, 지역별, 국가별, 유형별, 용도별 데이터 수익화 분석을 포함합니다.
데이터 수익화 시장 규모, 추정치, 예측치는 매출액으로 제시되며, 2024년을 기준 연도로 하여 2020년부터 2031년까지 과거 데이터와 예측 데이터를 포함합니다. 정량적, 정성적 분석을 통해 독자들이 비즈니스/성장 전략 수립, 시장 경쟁 상황 평가, 현재 시장에서의 자사 포지셔닝 분석, 데이터 수익화 관련 정보에 기반한 비즈니스 의사결정을 내리는데 도움을 드리고자 합니다.
시장 세분화
기업별
- Accenture
- SAP
- Infosys
- Alepo
- Adastra
- Comviva
- SAS
- Monetize Solutions
- Adstra
- Optiva
- Teradata
- IBM
- Reltio
- Trianz
- Intellias
- Flexsin
- Altruist India iConnectiva
- Samsung ARTIK
- SymphonyAI 1010DATA
- Dawex Systems
- Mapidea
- TIBCO
- Relevance
- Qlik
- Acxiom
유형별 부문
- 온프레미스
- 클라우드 기반
수익화 방법별 부문
- 직접 수익화
- 간접 수익화
서비스 모델별 부문
- DaaS(Data-as-a-Service)
- IaaS(Insight-as-a-Service)
- AaaS(Analytics-as-a-Service)
용도별 부문
- 통신
- 금융·은행
- E-Commerce·소매
- 네트워크·소프트웨어
- 제조업
- 기타
지역별
- 북미
- 미국
- 캐나다
- 아시아태평양
- 중국
- 일본
- 한국
- 동남아시아
- 인도
- 호주
- 기타 아시아태평양
- 유럽
- 독일
- 프랑스
- 영국
- 이탈리아
- 네덜란드
- 북유럽 국가
- 기타 유럽
- 라틴아메리카
- 멕시코
- 브라질
- 기타 라틴아메리카
- 중동 및 아프리카
- 튀르키예
- 사우디아라비아
- 아랍에미리트
- 기타 중동 및 아프리카
자주 묻는 질문
The global market for Data Monetization was estimated to be worth US$ 3988 million in 2024 and is forecast to a readjusted size of US$ 12901 million by 2031 with a CAGR of 19.7% during the forecast period 2025-2031.
Data monetization refers to the process by which an enterprise or organization converts the data it owns or collects into economic value, directly or indirectly. It not only includes selling data to third parties, but also covers value creation through optimizing internal operations through data analysis, improving customer experience, developing new products, and formulating precision marketing strategies. The core of data monetization is to identify the potential value of data and realize it through technology, business models and compliance mechanisms. With the acceleration of digital transformation, data has become the "fifth production factor" after land, labor and capital, and its monetization ability directly affects the competitiveness and innovation ability of enterprises.
The global data monetization market has developed rapidly in recent years, showing a significant trend of technological evolution and commercialization. With the widespread application of cloud computing, big data analysis and mobile devices, enterprises can gain deeper insights into market behavior and demographic changes, and optimize asset allocation, customer operations and marketing decisions accordingly. In terms of deployment mode, local deployment still maintains a dominant position in some industries, but cloud solutions are expanding their influence with their scalability and agility, promoting the rapid release of data value. From a regional perspective, the US market has long been in a leading position, followed by the EU region, and actively exploring privacy compliance and data transactions. Major global suppliers include Accenture, IBM, SAS, Infosys and Adastra, some of which have built a complete data service ecosystem to help enterprises realize data assets through consulting, data platforms, analytical tools and other multi-dimensional methods. This market is shifting from early data collection to data-based business optimization and revenue drive, showing strong growth momentum and broad innovation space. The top four global manufacturers account for nearly 50% of the market share.
This report aims to provide a comprehensive presentation of the global market for Data Monetization, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Monetization by region & country, by Type, and by Application.
The Data Monetization market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Monetization.
Market Segmentation
By Company
- Accenture
- SAP
- Infosys
- Alepo
- Adastra
- Comviva
- SAS
- Monetize Solutions
- Adstra
- Optiva
- Teradata
- IBM
- Reltio
- Trianz
- Intellias
- Flexsin
- Altruist India iConnectiva
- Samsung ARTIK
- SymphonyAI 1010DATA
- Dawex Systems
- Mapidea
- TIBCO
- Relevance
- Qlik
- Acxiom
Segment by Type
- On-Premises
- Cloud-Based
Segment by Monetization Method
- Direct Monetization
- Indirect Monetization
Segment by Service Model
- Data-as-a-Service (DaaS)
- Insight-as-a-Service (IaaS)
- Analytics-as-a-Service (AaaS)
Segment by Application
- Telecom
- Finance & Banking
- E-Commerce & Retail
- Network & Software
- Manufacturing
- Others
By Region
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Monetization company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Data Monetization in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Monetization in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
- 1.1 Data Monetization Product Introduction
- 1.2 Global Data Monetization Market Size Forecast (2020-2031)
- 1.3 Data Monetization Market Trends & Drivers
- 1.3.1 Data Monetization Industry Trends
- 1.3.2 Data Monetization Market Drivers & Opportunity
- 1.3.3 Data Monetization Market Challenges
- 1.3.4 Data Monetization Market Restraints
- 1.4 Assumptions and Limitations
- 1.5 Study Objectives
- 1.6 Years Considered
2 Competitive Analysis by Company
- 2.1 Global Data Monetization Players Revenue Ranking (2024)
- 2.2 Global Data Monetization Revenue by Company (2020-2025)
- 2.3 Key Companies Data Monetization Manufacturing Base Distribution and Headquarters
- 2.4 Key Companies Data Monetization Product Offered
- 2.5 Key Companies Time to Begin Mass Production of Data Monetization
- 2.6 Data Monetization Market Competitive Analysis
- 2.6.1 Data Monetization Market Concentration Rate (2020-2025)
- 2.6.2 Global 5 and 10 Largest Companies by Data Monetization Revenue in 2024
- 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Monetization as of 2024)
- 2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
- 3.1 Introduction by Type
- 3.1.1 On-Premises
- 3.1.2 Cloud-Based
- 3.2 Global Data Monetization Sales Value by Type
- 3.2.1 Global Data Monetization Sales Value by Type (2020 VS 2024 VS 2031)
- 3.2.2 Global Data Monetization Sales Value, by Type (2020-2031)
- 3.2.3 Global Data Monetization Sales Value, by Type (%) (2020-2031)
4 Segmentation by Monetization Method
- 4.1 Introduction by Monetization Method
- 4.1.1 Direct Monetization
- 4.1.2 Indirect Monetization
- 4.2 Global Data Monetization Sales Value by Monetization Method
- 4.2.1 Global Data Monetization Sales Value by Monetization Method (2020 VS 2024 VS 2031)
- 4.2.2 Global Data Monetization Sales Value, by Monetization Method (2020-2031)
- 4.2.3 Global Data Monetization Sales Value, by Monetization Method (%) (2020-2031)
5 Segmentation by Service Model
- 5.1 Introduction by Service Model
- 5.1.1 Data-as-a-Service (DaaS)
- 5.1.2 Insight-as-a-Service (IaaS)
- 5.1.3 Analytics-as-a-Service (AaaS)
- 5.2 Global Data Monetization Sales Value by Service Model
- 5.2.1 Global Data Monetization Sales Value by Service Model (2020 VS 2024 VS 2031)
- 5.2.2 Global Data Monetization Sales Value, by Service Model (2020-2031)
- 5.2.3 Global Data Monetization Sales Value, by Service Model (%) (2020-2031)
6 Segmentation by Application
- 6.1 Introduction by Application
- 6.1.1 Telecom
- 6.1.2 Finance & Banking
- 6.1.3 E-Commerce & Retail
- 6.1.4 Network & Software
- 6.1.5 Manufacturing
- 6.1.6 Others
- 6.2 Global Data Monetization Sales Value by Application
- 6.2.1 Global Data Monetization Sales Value by Application (2020 VS 2024 VS 2031)
- 6.2.2 Global Data Monetization Sales Value, by Application (2020-2031)
- 6.2.3 Global Data Monetization Sales Value, by Application (%) (2020-2031)
7 Segmentation by Region
- 7.1 Global Data Monetization Sales Value by Region
- 7.1.1 Global Data Monetization Sales Value by Region: 2020 VS 2024 VS 2031
- 7.1.2 Global Data Monetization Sales Value by Region (2020-2025)
- 7.1.3 Global Data Monetization Sales Value by Region (2026-2031)
- 7.1.4 Global Data Monetization Sales Value by Region (%), (2020-2031)
- 7.2 North America
- 7.2.1 North America Data Monetization Sales Value, 2020-2031
- 7.2.2 North America Data Monetization Sales Value by Country (%), 2024 VS 2031
- 7.3 Europe
- 7.3.1 Europe Data Monetization Sales Value, 2020-2031
- 7.3.2 Europe Data Monetization Sales Value by Country (%), 2024 VS 2031
- 7.4 Asia Pacific
- 7.4.1 Asia Pacific Data Monetization Sales Value, 2020-2031
- 7.4.2 Asia Pacific Data Monetization Sales Value by Region (%), 2024 VS 2031
- 7.5 South America
- 7.5.1 South America Data Monetization Sales Value, 2020-2031
- 7.5.2 South America Data Monetization Sales Value by Country (%), 2024 VS 2031
- 7.6 Middle East & Africa
- 7.6.1 Middle East & Africa Data Monetization Sales Value, 2020-2031
- 7.6.2 Middle East & Africa Data Monetization Sales Value by Country (%), 2024 VS 2031
8 Segmentation by Key Countries/Regions
- 8.1 Key Countries/Regions Data Monetization Sales Value Growth Trends, 2020 VS 2024 VS 2031
- 8.2 Key Countries/Regions Data Monetization Sales Value, 2020-2031
- 8.3 United States
- 8.3.1 United States Data Monetization Sales Value, 2020-2031
- 8.3.2 United States Data Monetization Sales Value by Type (%), 2024 VS 2031
- 8.3.3 United States Data Monetization Sales Value by Application, 2024 VS 2031
- 8.4 Europe
- 8.4.1 Europe Data Monetization Sales Value, 2020-2031
- 8.4.2 Europe Data Monetization Sales Value by Type (%), 2024 VS 2031
- 8.4.3 Europe Data Monetization Sales Value by Application, 2024 VS 2031
- 8.5 China
- 8.5.1 China Data Monetization Sales Value, 2020-2031
- 8.5.2 China Data Monetization Sales Value by Type (%), 2024 VS 2031
- 8.5.3 China Data Monetization Sales Value by Application, 2024 VS 2031
- 8.6 Japan
- 8.6.1 Japan Data Monetization Sales Value, 2020-2031
- 8.6.2 Japan Data Monetization Sales Value by Type (%), 2024 VS 2031
- 8.6.3 Japan Data Monetization Sales Value by Application, 2024 VS 2031
- 8.7 South Korea
- 8.7.1 South Korea Data Monetization Sales Value, 2020-2031
- 8.7.2 South Korea Data Monetization Sales Value by Type (%), 2024 VS 2031
- 8.7.3 South Korea Data Monetization Sales Value by Application, 2024 VS 2031
- 8.8 Southeast Asia
- 8.8.1 Southeast Asia Data Monetization Sales Value, 2020-2031
- 8.8.2 Southeast Asia Data Monetization Sales Value by Type (%), 2024 VS 2031
- 8.8.3 Southeast Asia Data Monetization Sales Value by Application, 2024 VS 2031
- 8.9 India
- 8.9.1 India Data Monetization Sales Value, 2020-2031
- 8.9.2 India Data Monetization Sales Value by Type (%), 2024 VS 2031
- 8.9.3 India Data Monetization Sales Value by Application, 2024 VS 2031
9 Company Profiles
- 9.1 Accenture
- 9.1.1 Accenture Profile
- 9.1.2 Accenture Main Business
- 9.1.3 Accenture Data Monetization Products, Services and Solutions
- 9.1.4 Accenture Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.1.5 Accenture Recent Developments
- 9.2 SAP
- 9.2.1 SAP Profile
- 9.2.2 SAP Main Business
- 9.2.3 SAP Data Monetization Products, Services and Solutions
- 9.2.4 SAP Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.2.5 SAP Recent Developments
- 9.3 Infosys
- 9.3.1 Infosys Profile
- 9.3.2 Infosys Main Business
- 9.3.3 Infosys Data Monetization Products, Services and Solutions
- 9.3.4 Infosys Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.3.5 Infosys Recent Developments
- 9.4 Alepo
- 9.4.1 Alepo Profile
- 9.4.2 Alepo Main Business
- 9.4.3 Alepo Data Monetization Products, Services and Solutions
- 9.4.4 Alepo Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.4.5 Alepo Recent Developments
- 9.5 Adastra
- 9.5.1 Adastra Profile
- 9.5.2 Adastra Main Business
- 9.5.3 Adastra Data Monetization Products, Services and Solutions
- 9.5.4 Adastra Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.5.5 Adastra Recent Developments
- 9.6 Comviva
- 9.6.1 Comviva Profile
- 9.6.2 Comviva Main Business
- 9.6.3 Comviva Data Monetization Products, Services and Solutions
- 9.6.4 Comviva Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.6.5 Comviva Recent Developments
- 9.7 SAS
- 9.7.1 SAS Profile
- 9.7.2 SAS Main Business
- 9.7.3 SAS Data Monetization Products, Services and Solutions
- 9.7.4 SAS Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.7.5 SAS Recent Developments
- 9.8 Monetize Solutions
- 9.8.1 Monetize Solutions Profile
- 9.8.2 Monetize Solutions Main Business
- 9.8.3 Monetize Solutions Data Monetization Products, Services and Solutions
- 9.8.4 Monetize Solutions Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.8.5 Monetize Solutions Recent Developments
- 9.9 Adstra
- 9.9.1 Adstra Profile
- 9.9.2 Adstra Main Business
- 9.9.3 Adstra Data Monetization Products, Services and Solutions
- 9.9.4 Adstra Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.9.5 Adstra Recent Developments
- 9.10 Optiva
- 9.10.1 Optiva Profile
- 9.10.2 Optiva Main Business
- 9.10.3 Optiva Data Monetization Products, Services and Solutions
- 9.10.4 Optiva Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.10.5 Optiva Recent Developments
- 9.11 Teradata
- 9.11.1 Teradata Profile
- 9.11.2 Teradata Main Business
- 9.11.3 Teradata Data Monetization Products, Services and Solutions
- 9.11.4 Teradata Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.11.5 Teradata Recent Developments
- 9.12 IBM
- 9.12.1 IBM Profile
- 9.12.2 IBM Main Business
- 9.12.3 IBM Data Monetization Products, Services and Solutions
- 9.12.4 IBM Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.12.5 IBM Recent Developments
- 9.13 Reltio
- 9.13.1 Reltio Profile
- 9.13.2 Reltio Main Business
- 9.13.3 Reltio Data Monetization Products, Services and Solutions
- 9.13.4 Reltio Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.13.5 Reltio Recent Developments
- 9.14 Trianz
- 9.14.1 Trianz Profile
- 9.14.2 Trianz Main Business
- 9.14.3 Trianz Data Monetization Products, Services and Solutions
- 9.14.4 Trianz Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.14.5 Trianz Recent Developments
- 9.15 Intellias
- 9.15.1 Intellias Profile
- 9.15.2 Intellias Main Business
- 9.15.3 Intellias Data Monetization Products, Services and Solutions
- 9.15.4 Intellias Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.15.5 Intellias Recent Developments
- 9.16 Flexsin
- 9.16.1 Flexsin Profile
- 9.16.2 Flexsin Main Business
- 9.16.3 Flexsin Data Monetization Products, Services and Solutions
- 9.16.4 Flexsin Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.16.5 Flexsin Recent Developments
- 9.17 Altruist India iConnectiva
- 9.17.1 Altruist India iConnectiva Profile
- 9.17.2 Altruist India iConnectiva Main Business
- 9.17.3 Altruist India iConnectiva Data Monetization Products, Services and Solutions
- 9.17.4 Altruist India iConnectiva Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.17.5 Altruist India iConnectiva Recent Developments
- 9.18 Samsung ARTIK
- 9.18.1 Samsung ARTIK Profile
- 9.18.2 Samsung ARTIK Main Business
- 9.18.3 Samsung ARTIK Data Monetization Products, Services and Solutions
- 9.18.4 Samsung ARTIK Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.18.5 Samsung ARTIK Recent Developments
- 9.19 SymphonyAI 1010DATA
- 9.19.1 SymphonyAI 1010DATA Profile
- 9.19.2 SymphonyAI 1010DATA Main Business
- 9.19.3 SymphonyAI 1010DATA Data Monetization Products, Services and Solutions
- 9.19.4 SymphonyAI 1010DATA Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.19.5 SymphonyAI 1010DATA Recent Developments
- 9.20 Dawex Systems
- 9.20.1 Dawex Systems Profile
- 9.20.2 Dawex Systems Main Business
- 9.20.3 Dawex Systems Data Monetization Products, Services and Solutions
- 9.20.4 Dawex Systems Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.20.5 Dawex Systems Recent Developments
- 9.21 Mapidea
- 9.21.1 Mapidea Profile
- 9.21.2 Mapidea Main Business
- 9.21.3 Mapidea Data Monetization Products, Services and Solutions
- 9.21.4 Mapidea Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.21.5 Mapidea Recent Developments
- 9.22 TIBCO
- 9.22.1 TIBCO Profile
- 9.22.2 TIBCO Main Business
- 9.22.3 TIBCO Data Monetization Products, Services and Solutions
- 9.22.4 TIBCO Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.22.5 TIBCO Recent Developments
- 9.23 Relevance
- 9.23.1 Relevance Profile
- 9.23.2 Relevance Main Business
- 9.23.3 Relevance Data Monetization Products, Services and Solutions
- 9.23.4 Relevance Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.23.5 Relevance Recent Developments
- 9.24 Qlik
- 9.24.1 Qlik Profile
- 9.24.2 Qlik Main Business
- 9.24.3 Qlik Data Monetization Products, Services and Solutions
- 9.24.4 Qlik Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.24.5 Qlik Recent Developments
- 9.25 Acxiom
- 9.25.1 Acxiom Profile
- 9.25.2 Acxiom Main Business
- 9.25.3 Acxiom Data Monetization Products, Services and Solutions
- 9.25.4 Acxiom Data Monetization Revenue (US$ Million) & (2020-2025)
- 9.25.5 Acxiom Recent Developments
10 Industry Chain Analysis
- 10.1 Data Monetization Industrial Chain
- 10.2 Data Monetization Upstream Analysis
- 10.2.1 Key Raw Materials
- 10.2.2 Raw Materials Key Suppliers
- 10.2.3 Manufacturing Cost Structure
- 10.3 Midstream Analysis
- 10.4 Downstream Analysis (Customers Analysis)
- 10.5 Sales Model and Sales Channels
- 10.5.1 Data Monetization Sales Model
- 10.5.2 Sales Channel
- 10.5.3 Data Monetization Distributors
11 Research Findings and Conclusion
12 Appendix
- 12.1 Research Methodology
- 12.1.1 Methodology/Research Approach
- 12.1.1.1 Research Programs/Design
- 12.1.1.2 Market Size Estimation
- 12.1.1.3 Market Breakdown and Data Triangulation
- 12.1.2 Data Source
- 12.1.2.1 Secondary Sources
- 12.1.2.2 Primary Sources
- 12.1.1 Methodology/Research Approach
- 12.2 Author Details
- 12.3 Disclaimer
