세계의 분산형 데이터 수익화 플랫폼 시장 예측(-2032년) : 컴포넌트별, 데이터 유형별, 수익화 모델별, 용도별, 최종 사용자별, 지역별 분석

According to Stratistics MRC, the Global Decentralized Data Monetization Platforms Market is accounted for $5.2 billion in 2025 and is expected to reach $26.5 billion by 2032 growing at a CAGR of 25.9% during the forecast period. Decentralized data monetization platforms are blockchain-powered systems that enable individuals and organizations to securely control, share, and profit from their data without relying on centralized intermediaries. These platforms use smart contracts, tokenization, and peer-to-peer networks to facilitate transparent data exchanges, ensuring users retain ownership and consent over how their data is used. By eliminating gatekeepers, they empower users to monetize personal, behavioral, or enterprise data directly. Designed to uphold privacy and trust, these platforms are gaining traction across industries like healthcare, advertising, and IoT, offering a more equitable and secure model for data-driven innovation and economic participation.

Market Dynamics:

Driver:

Rising Demand for Data Ownership and Control

The growing demand for data ownership and control is a key driver of the decentralized data monetization platforms market. Users and enterprises increasingly seek solutions that allow them to manage and profit from their data without relying on centralized entities. These platforms empower individuals with transparency, consent-based sharing, and direct monetization opportunities. As awareness of data rights expands, decentralized models are gaining traction across industries, offering a more equitable and privacy-respecting approach to data exchange and value creation.

Restraint:

Complexity of User Onboarding and Education

Complexity in user onboarding and education presents a major restraint for decentralized data monetization platforms. Understanding blockchain technology, smart contracts, and token economics can be challenging for mainstream users. Without intuitive interfaces and clear guidance, adoption may be limited to tech-savvy individuals. This learning curve slows market penetration and reduces engagement. To overcome this barrier, platforms must invest in user-friendly design, educational resources, and simplified onboarding processes. Thus it hinders the growth of the market.

Opportunity:

Growth of Blockchain and Web3 Technologies

The rapid growth of blockchain and Web3 technologies presents a significant opportunity for decentralized data monetization platforms. These innovations enable secure, transparent, and decentralized data exchanges, eliminating intermediaries and enhancing trust. As Web3 adoption expands across finance, healthcare, and advertising, the infrastructure for peer-to-peer data monetization strengthens. Smart contracts and tokenization allow for automated, consent-driven transactions, attracting users and enterprises seeking control and profitability. This technological evolution is fueling innovation and scalability in the data economy.

Threat:

Regulatory Uncertainty around Tokenized Data

Regulatory uncertainty around tokenized data poses a serious threat to the decentralized data monetization platforms market. Ambiguity in legal frameworks governing data ownership, crypto-based rewards, and cross-border transactions can deter investment and adoption. Without clear guidelines, platforms risk non-compliance and face barriers to institutional integration. This uncertainty affects user trust and slows innovation, which hampers the growth of the market.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation, indirectly boosting interest in decentralized data monetization platforms. As remote work and online services surged, data generation increased across sectors. Users became more aware of data privacy and ownership, prompting demand for platforms that offer control and monetization. However, economic uncertainty and regulatory delays temporarily slowed adoption. Post-pandemic, the emphasis on digital resilience and user empowerment continues to drive growth, positioning decentralized platforms as key players in the evolving data economy.

The financial services segment is expected to be the largest during the forecast period

The financial services segment is expected to account for the largest market share during the forecast period due to its vast data generation and need for secure, transparent data handling. Banks, fintechs, and insurers are adopting decentralized platforms to monetize customer insights, transaction histories, and behavioral data while ensuring compliance and privacy. These platforms enable real-time data exchange, fraud prevention, and personalized services. As financial institutions embrace blockchain and data tokenization, decentralized monetization becomes a strategic tool for innovation and competitive advantage.

The personal data segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the personal data segment is predicted to witness the highest growth rate owing to growing user awareness of data rights and monetization potential. Individuals increasingly seek platforms that allow them to control and profit from their behavioral, biometric, and browsing data. Decentralized systems offer secure, consent-based sharing and tokenized rewards, empowering users in the digital economy. As privacy regulations strengthen and data literacy improves, personal data monetization is becoming a mainstream trend across demographics.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share because of its massive digital user base, rapid adoption of blockchain technologies, and supportive government initiatives. Countries like China, India, and Singapore are investing in decentralized infrastructure and data governance frameworks. The region's booming fintech and IoT sectors generate vast data pools, ideal for monetization. With increasing awareness of data ownership and privacy, Asia Pacific is emerging as a leader in decentralized data economy innovation.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR due to advanced blockchain ecosystems, strong regulatory frameworks, and high digital literacy. The U.S. and Canada lead in Web3 innovation, with startups and enterprises actively exploring decentralized data monetization. Growing concerns over data privacy and ownership are driving demand for user-centric platforms. Institutional interest, venture capital investment, and integration of decentralized models in finance and healthcare further accelerate growth, positioning North America as a key innovation hub.

Key players in the market

Some of the key players in Decentralized Data Monetization Platforms Market include Ocean Protocol, Streamr, Fetch.ai, SingularityNET, Sahara AI, iExec, Bittensor, DIMO, OORT, Numerai, Brave Software, DataBroker DAO, Datum, Wibson and The Graph.

Key Developments:

In July 2025, Freight Technologies (Fr8Tech) and Fetch.ai have expanded their strategic partnership to enhance logistics automation through advanced AI. Leveraging Fetch.ai's ASI:One model, Fr8Tech has deployed voice agents capable of accurately processing logistics data, particularly in Spanish.

In March 2025, In March 2025, Tata Motors, in collaboration with its authorized distributor DIMO, launched a new range of passenger vehicles in Sri Lanka, marking the first entry of a passenger vehicle brand into the country post-market reopening. The lineup includes both internal combustion engine (ICE) and electric vehicle (EV) models, featuring the Tata Punch, Tata Nexon, Tata Curvv, and the Tiago.ev electric hatchback.

Components Covered:

• Platforms
• Services

Data Types Covered:

• Personal Data
• Enterprise Data
• IoT Data
• Healthcare Data
• Financial Data

Monetization Models Covered:

• Token-Based
• Subscription-Based
• Pay-per-Use
• Auction-Based

Applications Covered:

• Advertising and Marketing
• Healthcare and Genomics
• Financial Services
• Supply Chain and Logistics
• Smart Cities
• Research and Academia

End Users Covered:

• Individuals
• Enterprises
• Data Brokers
• Government Agencies

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Decentralized Data Monetization Platforms Market, By Component

• 5.1 Introduction
• 5.2 Platforms
• 5.3 Services

6 Global Decentralized Data Monetization Platforms Market, By Data Type

• 6.1 Introduction
• 6.2 Personal Data
• 6.3 Enterprise Data
• 6.4 IoT Data
• 6.5 Healthcare Data
• 6.6 Financial Data

7 Global Decentralized Data Monetization Platforms Market, By Monetization Model

• 7.1 Introduction
• 7.2 Token-Based
• 7.3 Subscription-Based
• 7.4 Pay-per-Use
• 7.5 Auction-Based

8 Global Decentralized Data Monetization Platforms Market, By Application

• 8.1 Introduction
• 8.2 Advertising and Marketing
• 8.3 Healthcare and Genomics
• 8.4 Financial Services
• 8.5 Supply Chain and Logistics
• 8.6 Smart Cities
• 8.7 Research and Academia

9 Global Decentralized Data Monetization Platforms Market, By End User

• 9.1 Introduction
• 9.2 Individuals
• 9.3 Enterprises
• 9.4 Data Brokers
• 9.5 Government Agencies

10 Global Decentralized Data Monetization Platforms Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 Ocean Protocol
• 12.2 Streamr
• 12.3 Fetch.ai
• 12.4 SingularityNET
• 12.5 Sahara AI
• 12.6 iExec
• 12.7 Bittensor
• 12.8 DIMO
• 12.9 OORT
• 12.10 Numerai
• 12.11 Brave Software
• 12.12 DataBroker DAO
• 12.13 Datum
• 12.14 Wibson
• 12.15 The Graph