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시장보고서
상품코드
2040513
데이터 수익화 시장 규모, 점유율 및 동향 분석 보고서 : 기업 규모별, 방법별, 업계별, 지역별 및 부문별 예측(2026-2033년)Data Monetization Market Size, Share & Trends Analysis Report By Enterprise Size, By Method, By Vertical, By Region, And Segment Forecasts, 2026 - 2033 |
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데이터 수익화 시장 요약
세계의 데이타모네타이제이션 시장 규모는 2025년에 38억 7,000만 달러로 추계되며, 2033년까지 176억 2,000만 달러에 달할 것으로 예측됩니다.
2026-2033년 CAGR 20.4%로 성장할 것으로 예상됩니다. 비즈니스 인텔리전스 및 고급 분석 솔루션에 대한 수요 증가가 시장 성장을 주도하고 있습니다.
데이터 수익화는 기업 간 데이터 공유를 의미합니다. 이는 데이터를 활용하여 새로운 수입원을 창출하는 것입니다. 데이터 수익화에는 직접적 데이터 수익화과 간접적 데이터 수익화 두 가지가 있습니다. 직접적 데이터 수익화란 원시 데이터를 판매하는 것을 말합니다. 이 유형에서 기업은 데이터를 판매함으로써 직접적으로 매출을 창출합니다. 직접적인 데이터 수익화에는 기업의 분석 결과 판매, 데이터 물물교환 및 거래, 하나 이상의 API 구축이 포함됩니다. 기업은 간접적인 모네타이제이션의 관점에서 자사 데이터를 활용하여 측정 가능한 효과를 창출합니다. 간접 모네타이제이션은 기업의 비용 절감, 생산성 및 효율성 향상, 신제품 및 신규 서비스 개발, 새로운 고객층 및 사업 분야 발굴에 기여합니다.
기업 데이터의 증가, 데이터 수익화에 대한 인식 증가, 외부 데이터 소스의 활용 등 몇 가지 요인이 시장 성장을 촉진할 것으로 예상됩니다. 또한 데이터 처리 및 인공지능 활용 확대, 데이터베이스 의사결정 접근법 채택, 빅데이터 분석의 발전 등이 예측 기간 중 성장을 촉진할 것으로 예상됩니다.
많은 기업이 데이터 수익화를 통해 데이터 활용 최적화, 고객 충성도 향상, 운영 비용 절감, 컴플라이언스 강화, 수익성 향상, 파트너십 강화, 고객 경험 및 이해도를 높일 수 있으므로 많은 기업이 데이터 매출 창출에 집중하고 있습니다. 마찬가지로 데이터 수익화는 제품 및 서비스에 최대 가치를 부여하고, 계획 및 의사결정 활동을 효율화하며, 내부 및 외부 이해관계자 간의 협업 및 데이터 공유를 개선하고, 타겟팅된 제품 및 서비스 마케팅 및 제안을 강화합니다. 예를 들어 타이어 제조업체인 미쉐린은 타이어의 공기압, 온도, GPS 데이터 등 원시 타이어 데이터를 자동차 제조업체에 판매하여 운전 행태 분석에 활용하고 있습니다.
데이터 수익화는 조직이 보유한 고객 정보로 창출하는 추가 매출을 총칭하는 용어입니다. 이는 서비스 상향 판매, 고객 관리 지원, 고객 이탈 억제에 초점을 맞추고 있으므로 조직의 비즈니스에 필수적일 것으로 예상됩니다. 또한 모바일 마케팅 등 다양한 비즈니스 기회에 대한 비즈니스 인텔리전스 지원에도 매우 중요합니다. 이는 판매 데이터를 인사이트로 제공함으로써 실현될 수 있습니다.
자주 묻는 질문
목차
제1장 조사 방법과 범위
제2장 개요
제3장 데이터 수익화 시장 : 변수, 동향, 범위
제4장 데이터 수익화 시장 : 방법별 추정·동향 분석
제5장 데이터 수익화 시장 : 기업 규모별 추정·동향 분석
제6장 데이터 수익화 시장 : 업종별 추정·동향 분석
제7장 데이터 수익화 시장 : 지역별 추정·동향 분석
제8장 경쟁 구도
KSA 26.06.02Data Monetization Market Summary
The global data monetization market size was estimated at USD 3.87 billion in 2025 and is projected to reach USD 17.62 billion by 2033, growing at a CAGR of 20.4% from 2026 to 2033. Growing demand for business intelligence and advanced analytics solutions is driving market growth market growth.
Data monetization is the sharing of data between companies. It is using data to create new revenue-generating streams. Data monetization is of two types direct data monetization and indirect data monetization. Direct data monetization is the selling of raw data. In this type, companies generate revenue directly by selling the data. Direct data monetization involves selling a company's analysis, bartering or trading data, and creating one or many APIs. Companies use their data to create a measurable impact in terms of indirect monetization. Indirect monetization helps companies reduce costs, improve productivity and efficiency, develop new products or services, and discover new customer types or business categories.
Several factors, including rising enterprise data volumes, increased awareness of data monetization, and the use of external data sources, are expected to drive market growth. Furthermore, the growing use of data processing and artificial intelligence, the adoption of data-driven decision-making approaches, and advancements in big data analytics, among others, are expected to fuel growth over the forecast period.
Several companies are inclined toward data monetization because it enables data usage optimization, customer loyalty, reduced operating costs, improved compliance, increased profitability, strengthened partnerships, and enhanced customer experience and understanding. Similarly, data monetization also adds maximum value to products and services, streamlines planning and decision-making activities, improves collaboration and data sharing amongst external and internal stakeholders, and enhances targeted product/service marketing and propositions. For instance, tire manufacturer Michelin sells raw tire data, such as pressure, temperature, and GPS data, to automobile companies to study driving behavior.
Data monetization is an umbrella term for the additional revenue an organization generates from the information it holds about its customers. It is expected to be vital to an organization's business since it focuses on upselling services, supporting customer care, and reducing churn. It is also crucial for business intelligence support for several commercial opportunities, such as mobile marketing. It does this by providing selling data as an insight.
Global Data Monetization Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and analyses the latest industry trends in each sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global data monetizationmarket on the basis of enterprise size, method, vertical, and region:
- Method Outlook (Revenue, USD Million, 2021 - 2033)
- Data as a service
- Insight as a service
- Analytics-enabled platform as a service
- Embedded analytics
- Enterprise Outlook (Revenue, USD Million, 2021 - 2033)
- Large Enterprises
- SMEs
- Vertical Outlook (Revenue, USD Million, 2021 - 2033)
- BFSI
- E-commerce & retail
- Telecommunications & IT
- Manufacturing
- Healthcare
- Energy & utilities
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Asia Pacific
- China
- Japan
- India
- Australia
- South Korea
- Latin America
- Brazil
- Middle East and Africa
- Saudi Arabia
- South Africa
- UAE
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.1.1. Method
- 1.1.2. Enterprise size
- 1.1.3. Vertical
- 1.1.4. Regional scope
- 1.1.5. Estimates and forecast timeline
- 1.2. Research Methodology
- 1.3. Information Procurement
- 1.3.1. Purchased database
- 1.3.2. GVR's internal database
- 1.3.3. Secondary sources
- 1.3.4. Primary research
- 1.3.5. Details of primary research
- 1.4. Information or Data Analysis
- 1.5. Market Formulation & Validation
- 1.6. Model Details
- 1.7. List of Secondary Sources
- 1.8. List of Primary Sources
- 1.9. Objectives
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.2.1. Method outlook
- 2.2.2. Enterprise size outlook
- 2.2.3. Vertical outlook
- 2.2.4. Regional outlook
- 2.3. Competitive Insights
Chapter 3. Data Monetization Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.2. Industry Value Chain Analysis
- 3.3. Market Dynamics
- 3.3.1. Market driver analysis
- 3.3.2. Market restraint analysis
- 3.3.3. Market opportunity analysis
- 3.4. Data Monetization Market Analysis Tools
- 3.4.1. Industry Analysis - Porter's
- 3.4.1.1. Supplier power
- 3.4.1.2. Buyer power
- 3.4.1.3. Substitution threat
- 3.4.1.4. Threat of new entrant
- 3.4.1.5. Competitive rivalry
- 3.4.2. PESTEL Analysis
- 3.4.2.1. Political landscape
- 3.4.2.2. Technological landscape
- 3.4.2.3. Economic landscape
- 3.4.1. Industry Analysis - Porter's
Chapter 4. Data Monetization Market: Method Estimates & Trend Analysis
- 4.1. Data Monetization Market: Key Takeaways
- 4.2. Data Monetization Market: Movement & Market Share Analysis, 2025 & 2033
- 4.3. Data as a service
- 4.3.1. Data as a service market estimates and forecasts, 2021 to 2033 (USD Million)
- 4.4. Insight as a service
- 4.4.1. Insight as a service market estimates and forecasts, 2021 to 2033 (USD Million)
- 4.5. Analytics-enabled platform as a service
- 4.5.1. Analytics-enabled platform as a service market estimates and forecasts, 2021 to 2033 (USD Million)
- 4.6. Embedded analytics
- 4.6.1. Embedded analytics market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 5. Data Monetization Market: Enterprise Size Estimates & Trend Analysis
- 5.1. Data Monetization Market: Key Takeaways
- 5.2. Data Monetization Market: Movement & Market Share Analysis, 2025 & 2033
- 5.3. Large Enterprises
- 5.3.1. Large enterprises market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.4. SMEs
- 5.4.1. SMEs market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 6. Data Monetization Market: Vertical Estimates & Trend Analysis
- 6.1. Data Monetization Market: Key Takeaways
- 6.2. Data Monetization Market: Movement & Market Share Analysis, 2025 & 2033
- 6.3. BFSI
- 6.3.1. BFSI market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.4. E-commerce & Retail
- 6.4.1. E-commerce & Retail market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.5. Telecommunications & IT
- 6.5.1. Telecommunications & IT market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.6. Manufacturing
- 6.6.1. Manufacturing market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.7. Healthcare
- 6.7.1. Healthcare market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.8. Energy & Utilities
- 6.8.1. Energy & utilities market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.9. Others
- 6.9.1. Others market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 7. Data Monetization Market: Regional Estimates & Trend Analysis
- 7.1. Regional Outlook
- 7.2. Data Monetization Market by Region: Key Takeaway
- 7.3. North America
- 7.3.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.3.2. U.S.
- 7.3.2.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.3.3. Canada
- 7.3.3.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.3.4. Mexico
- 7.3.4.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.4. Europe
- 7.4.1. UK
- 7.4.1.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.4.2. Germany
- 7.4.2.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.4.3. France
- 7.4.3.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.4.1. UK
- 7.5. Asia Pacific
- 7.5.1. Japan
- 7.5.1.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.5.2. China
- 7.5.2.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.5.3. India
- 7.5.3.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.5.4. Australia
- 7.5.4.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.5.5. South Korea
- 7.5.5.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.5.1. Japan
- 7.6. Latin America
- 7.6.1. Brazil
- 7.6.1.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.6.1. Brazil
- 7.7. MEA
- 7.7.1. Saudi Arabia
- 7.7.1.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.7.2. South Africa
- 7.7.2.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.7.3. UAE
- 7.7.3.1. Market estimates and forecasts, 2021 to 2033 (Revenue, USD Million)
- 7.7.1. Saudi Arabia
Chapter 8. Competitive Landscape
- 8.1. Company Categorization
- 8.2. Company Market Positioning
- 8.3. Company Heat Map Analysis
- 8.4. Company Profiles/Listing
- 8.4.1. Accenture
- 8.4.1.1. Company overview
- 8.4.1.2. Financial performance
- 8.4.1.3. Product benchmarking
- 8.4.1.4. Strategic initiatives
- 8.4.2. Adstra
- 8.4.2.1. Company overview
- 8.4.2.2. Financial performance
- 8.4.2.3. Product benchmarking
- 8.4.2.4. Strategic initiatives
- 8.4.3. Cisco Systems, Inc.
- 8.4.3.1. Company overview
- 8.4.3.2. Financial performance
- 8.4.3.3. Product benchmarking
- 8.4.3.4. Strategic initiatives
- 8.4.4. Comviva
- 8.4.4.1. Company overview
- 8.4.4.2. Financial performance
- 8.4.4.3. Product benchmarking
- 8.4.4.4. Strategic initiatives
- 8.4.5. Domo, Inc.
- 8.4.5.1. Company overview
- 8.4.5.2. Financial performance
- 8.4.5.3. Product benchmarking
- 8.4.5.4. Strategic initiatives
- 8.4.6. Thales (Gemalto NV)
- 8.4.6.1. Company overview
- 8.4.6.2. Financial performance
- 8.4.6.3. Product benchmarking
- 8.4.6.4. Strategic initiatives
- 8.4.7. Gulp Data
- 8.4.7.1. Company overview
- 8.4.7.2. Financial performance
- 8.4.7.3. Product benchmarking
- 8.4.7.4. Strategic initiatives
- 8.4.8. IBM Corporation
- 8.4.8.1. Company overview
- 8.4.8.2. Financial performance
- 8.4.8.3. Product benchmarking
- 8.4.8.4. Strategic initiatives
- 8.4.9. Infosys Limited
- 8.4.9.1. Company overview
- 8.4.9.2. Financial performance
- 8.4.9.3. Product benchmarking
- 8.4.9.4. Strategic initiatives
- 8.4.10. Monetize
- 8.4.10.1. Company overview
- 8.4.10.2. Financial performance
- 8.4.10.3. Product benchmarking
- 8.4.10.4. Strategic initiatives
- 8.4.11. Reltio
- 8.4.11.1. Company overview
- 8.4.11.2. Financial performance
- 8.4.11.3. Product benchmarking
- 8.4.11.4. Strategic initiatives
- 8.4.12. Revelate Data Monetization Corp.
- 8.4.12.1. Company overview
- 8.4.12.2. Financial performance
- 8.4.12.3. Product benchmarking
- 8.4.13. SAP SE
- 8.4.13.1. Company overview
- 8.4.13.2. Financial performance
- 8.4.13.3. Product benchmarking
- 8.4.13.4. Strategic initiatives
- 8.4.1. Accenture
