Credit Scoring Alternative Data Market Forecasts to 2032 – Global Analysis By Data Type (Transactional Data, Mobile & Telco Data, Utility & Rental Data, Digital Footprint & Social Data, Psychometric & Behavioral Data, and Public & Government Records), Mod

According to Stratistics MRC, the Global Credit Scoring Alternative Data Market is accounted for $3.7 billion in 2025 and is expected to reach $15.3 billion by 2032, growing at a CAGR of 22.1% during the forecast period. The credit scoring alternative data involves the use of non-traditional data, such as utility payments, mobile usage, transaction behavior, and digital footprints, to assess borrower creditworthiness. It supports lenders, fintech firms, and financial institutions. Growth is fueled by the need to help people without bank access, the rise of online finance; the shortcomings of old credit systems, government support for including more people in finance, and improvements in data analysis and machine learning.

According to the World Bank, around 1.4 billion adults globally remain unbanked.

Market Dynamics:

Driver:

Demand for more accurate, real-time credit risk assessment

Traditional models often rely on outdated, static snapshots of credit history, which fail to capture a borrower's current financial reality or offer assistance to ""thin-file"" individuals. By integrating alternative data, lenders can now analyze live behavioral signals and current cash flows, enabling them to make faster, more informed decisions. Furthermore, this shift reduces default rates by identifying subtle risk patterns that conventional systems overlook. Consequently, financial institutions are aggressively adopting these real-time tools to maintain a competitive edge.

Restraint:

Data fragmentation and lack of standardization

Alternative data comes from a variety of places, such as telecom records, rental payments, and online shopping, and each one uses different formats and quality standards. This lack of cohesion makes it difficult for lenders to integrate multiple data streams into a single, reliable scoring model without extensive manual reconciliation. Additionally, the inconsistency in how data is collected and categorized can lead to ""benchmark blindness,"" where comparing scores across different platforms becomes nearly impossible, thereby slowing widespread institutional adoption.

Opportunity:

Open banking frameworks enabling secure data sharing

By mandating secure, API-based access to consumer-permissioned banking data, these frameworks eliminate the friction previously associated with data gathering. This environment allows fintechs and traditional banks to collaborate more effectively, building comprehensive profiles that reflect a user’s true liquidity and spending habits. Moreover, the transparency inherent in open banking fosters greater consumer trust, as individuals gain control over which data points they share. Such ecosystems are paving the way for hyper-personalized financial products tailored to specific risk profiles.

Threat:

Cybersecurity risks and data breaches

As the volume and sensitivity of gathered alternative data increase, the market faces heightened threats from sophisticated cyberattacks and potential data breaches. Storing vast amounts of personal information, including social media activity, utility logs, and granular transaction histories, makes these platforms lucrative targets for ransomware and identity theft. A single high-profile breach could severely damage public trust and trigger stringent, restrictive regulatory responses that stifle innovation. Additionally, the use of third-party data aggregators introduces supply chain vulnerabilities, where a security lapse at any point in the data exchange can compromise the integrity of the entire scoring ecosystem.

Covid-19 Impact:

The pandemic acted as a double-edged sword for the market, initially causing a contraction in lending volumes but ultimately accelerating digital transformation. While traditional credit scores became less predictive due to government-mandated payment holidays and stimulus checks, the need for alternative data surged to gauge actual consumer resilience. Lenders turned to real-time cash flow and digital transaction data to navigate the economic volatility. This period solidified the value of non-traditional insights, permanently shifting the industry toward more agile and data-intensive risk management strategies.

The transactional data segment is expected to be the largest during the forecast period

The transactional data segment is expected to account for the largest market share during the forecast period because it provides the most direct and granular evidence of a borrower’s repayment capacity. Unlike social or psychometric data, transaction records from bank accounts, digital wallets, and credit cards offer a hard-fact history of income stability and spending discipline. Lenders prioritize this segment as it allows for the immediate verification of cash flow, making it indispensable for high-frequency lending products. Furthermore, the high reliability and ease of quantification associated with transactional records ensure their continued dominance.

The fintechs & neobanks segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the fintechs & neobanks segment is predicted to witness the highest growth rate due to its digital-first architecture and aggressive focus on financial inclusion. Unlike legacy institutions, neobanks are designed to integrate alternative scoring APIs natively into their onboarding processes, allowing for near-instant loan approvals. These players often target the unbanked and underbanked populations, where alternative data is the only viable means of assessment. Additionally, their lean operating models and rapid iteration cycles allow them to adopt new AI-driven scoring techniques much faster than traditional retail banks.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, bolstered by a mature financial ecosystem and early adoption of AI analytics. The presence of major credit bureaus and a high density of fintech innovators facilitate a robust infrastructure for data exchange and scoring model development. Furthermore, high consumer awareness and a well-defined regulatory landscape provide a stable environment for scaling these technologies. The region's dominance is also supported by massive investments from venture capital firms and established banks looking to modernize their traditional risk assessment frameworks.

Region with highest CAGR:

During the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid digitalization and a massive population with limited access to traditional banking. Countries like India, China, and Indonesia are seeing a surge in ""super-apps"" that combine e-commerce, payments, and social media, creating a goldmine of alternative data. Moreover, government-led initiatives for digital public infrastructure and open finance are lowering the barriers to entry for new scoring providers. The sheer scale of the unbanked demographic in this region presents an unparalleled growth engine for alternative credit solutions.

Key players in the market

Some of the key players in Credit Scoring Alternative Data Market include Experian, Equifax, TransUnion, LexisNexis Risk Solutions, FICO, Zest AI, LenddoEFL, CredoLab, CreditVidya, Nova Credit, Upstart, Tala, Branch International, JUMO, Socure, Cignifi, Credit Kudos, Finicity, and Plaid.

Key Developments:

In November 2025, Experian introduced the new Credit + Cashflow Score, combining bureau data with consumer-permissioned cash flow insights to expand financial inclusion.

In October 2025, Equifax introduced the new expanded mortgage credit offerings with VantageScore 4.0, integrating alternative data such as employment and utility records to promote competition in credit scoring.

In July 2025, Zest AI introduced the new recognition on CNBC’s World’s Top FinTech Companies list, highlighting its AI-driven lending models that integrate alternative data for fairer credit decisions.

In May 2025, TransUnion introduced the new TruVision Alternative Bank Risk Score, leveraging its OneTru™ platform to assess thin-file consumers with cash flow and alternative bank data.

Data Types Covered:
• Transactional Data
• Mobile & Telco Data
• Utility & Rental Data
• Digital Footprint & Social Data
• Psychometric & Behavioral Data
• Public & Government Records

Model Types Covered:
• Machine Learning Models
• Rule-Based/Expert Systems
• Hybrid Scoring Models

Applications Covered:
• Consumer Lending
• SME & Micro-Business Financing
• Fraud Detection & KYC Verification
• Debt Collection & Portfolio Monitoring

End Users Covered:
• Banking
• NBFCs (Non-Banking Financial Companies)
• Fintechs & Neobanks
• Telecom & Utility Providers

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 2024, 2025, 2026, 2028, and 2032
- 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 Show more