The global alternative data market size was estimated at USD 11.65 billion in 2024 and is projected to grow at a CAGR of 63.4% from 2025 to 2030. The growing use of alternative data in investment and financial services drives market growth. Hedge funds, asset managers, and institutional investors are using alternative data to gain unique insights that give them an edge in the market. With access to datasets such as foot traffic in retail stores, sentiment analysis from social media, or geolocation data, investors make more accurate predictions about market trends and company performance. This real-time data allows for more agile decision-making in investment strategies, which is critical in the financial sector. According to the 2023 State of Alternative Credit Data Report, 62% of financial institutions utilize alternative data to enhance risk profiling and improve their credit decision-making processes.
The expansion of artificial intelligence (AI) and machine learning technologies is further fueling the growth of the alternative data market. These technologies enable businesses to analyze large, complex datasets more efficiently and derive actionable insights. Alternative data sources, which are often unstructured and come from various formats, are processed and analyzed with the help of AI to uncover patterns and trends that were previously difficult to detect. As AI and machine learning become more sophisticated, they enhance the value of alternative data by providing deeper insights faster, encouraging more companies to adopt alternative data solutions to stay ahead of their competition.
In addition, the growing volume of data generated from digital transformation and the Internet of Things (IoT) is significantly contributing to the expansion of the alternative data market. With the rapid increase in connected devices, sensors, and online activities, vast amounts of data are generated daily. When analyzed properly, this data provides companies with a deeper understanding of consumer behaviors, market trends, and operational efficiencies. In particular, the proliferation of IoT devices develops new streams of alternative data that businesses use to gain real-time insights. As digital transformation continues to accelerate across industries, the availability of alternative data will grow, further driving demand for tools and platforms to process and analyze these new data sources effectively.
Furthermore, the rise of sustainable and ESG (Environmental, Social, and Governance) investing is also fueling demand for alternative data. Investors and companies are under increasing pressure to demonstrate their commitment to sustainability, and alternative data provides the metrics needed to evaluate ESG factors effectively. For instance, satellite data track deforestation rates, water usage, or pollution levels near manufacturing plants, while social media can provide insight into public sentiment on sustainability practices. As more investors adopt ESG-focused strategies, they rely on alternative data to measure companies' true environmental and social impact, driving further growth in the alternative data market.
Based on data type, the market is segmented into credit & debit card transactions, email receipts, geo-location (foot traffic) records, mobile data type usage, satellite & weather data, social & sentiment data, web scraped data, web traffic, and other data types. The credit & debit card transactions segment dominated the market with a revenue share of 17.2% in 2024. The increased use of card transaction data for credit risk assessment drives market growth. Financial institutions and lenders are using credit and debit card data as an additional information layer to assess potential borrowers' creditworthiness.
Traditional credit scoring methods often overlook valuable consumer behavior insights that card transactions can provide, such as spending habits, cash flow patterns, and financial stability. By incorporating card transaction data, lenders develop more accurate credit models, reduce default risks, and extend credit to underbanked or thin-file customers. This shift towards more data-driven credit assessments fuels the demand for transaction-based alternative data in the financial services sector. According to an article published by The Federal Reserve, the rise in credit and debit card usage between 2022 and 2023 led to over 60% of monthly payments being made with credit cards (32%) and debit cards (30%).
The social & sentiment data segment is anticipated to grow significantly with a CAGR of 67.0% over the forecast period. The growth is attributed to the rising demand for smartphone usage from the retail industry. Retail companies utilize it to analyze the user’s e-commerce data type usage patterns. Further, retailers increasingly use sentiment data from social media websites to understand user interests from various groups and regions. Geolocation (foot traffic) from satellite images is also gaining popularity in analyzing customer store visits at a particular time and day, framing the operational strategies for operating the stores. Although these sources have low accuracy compared to transaction data, the companies are finding ways to connect the dots to derive insights.
Based on industry, the market is segmented into automotive, BFSI, energy, industrial, IT & telecommunications, media & entertainment, real estate & construction, retail, transportation & logistics, and other industries. The BFSI segment dominated the market with a revenue share of 16.5% in 2024. The increasing use of alternative data for fraud detection and prevention drives the segment growth in the alternative data market.
In the BFSI sector, fraudulent activities such as identity theft, money laundering, and unauthorized transactions pose significant threats. To combat these, financial institutions leverage alternative data from various sources, including geolocation data, mobile device usage patterns, and behavioral analytics, to detect real-time anomalies. This ability to track non-traditional data points helps banks and insurance companies identify unusual activities that might go unnoticed by traditional monitoring systems. The need for robust fraud prevention strategies, especially in the age of digital payments, is pushing demand for alternative data solutions within the BFSI sector.
The retail segment is expected to grow significantly from 2025 to 2030. The expansion of e-commerce and omnichannel strategies is also fueling the adoption of alternative data in the retail sector. As more consumers shop online and through multiple channels, retailers seek alternative data to track and analyze customer behavior across various touchpoints. This includes data from mobile apps, online searches, and in-store foot traffic, which helps retailers create a seamless shopping experience across platforms. Integrating alternative data into e-commerce strategies also supports personalized product recommendations, dynamic pricing, and targeted advertising, which are critical for increasing conversion rates in the highly competitive retail landscape. According to a survey conducted by Harvard Business Review in 2023, around 62% of retailers globally had adopted omnichannel strategies, including services such as click-and-collect, online-to-offline (O2O) marketing, and integrated customer service systems.
Based on end users, the industry is divided into hedge fund operators, investment institutions, retail companies, and other end users. The hedge fund operators segment dominated the market in terms of revenue with a revenue share of 68.0% in 2024. The increased integration of natural language processing (NLP) and sentiment analysis in investment decision-making drives market growth. Hedge funds leverage alternative data from news articles, earnings call transcripts, and social media posts to gauge sentiment around companies, sectors, or economic conditions. NLP tools enable funds to analyze these large, unstructured datasets and extract valuable insights into market sentiment, investor confidence, or public perception. By using these insights, hedge funds can adjust their portfolios in response to shifts in sentiment, allowing them to react more swiftly to market-moving events.
The retail segment is expected to emerge as the fastest-growing segment over the forecast period. The growing need for enhanced customer insights and personalized marketing drives market growth. Retailers increasingly recognize that traditional data sources, such as sales figures and demographic information, often fail to provide a comprehensive understanding of customer preferences and behaviors. Retailers gain deeper insights into consumer sentiment and purchasing behavior by leveraging alternative data, such as social media interactions, online reviews, and web traffic analytics. This data enables retailers to tailor their marketing strategies, optimize product end users, and create personalized shopping experiences that resonate with their target audience, ultimately driving sales and customer loyalty.
North America alternative data market held a significant share of around 56.8% in 2024. The rise of the gig economy and freelance work is influencing the alternative data market in North America. As more individuals engage in gig work or freelance opportunities, businesses are increasingly interested in understanding the dynamics of this labor market. Alternative data can provide insights into gig worker availability, preferences, and income patterns, allowing companies to align their strategies with this evolving workforce better. The need to adapt to these changes fosters a demand for alternative data solutions that can help organizations tap into new opportunities the gig economy presents.
The Demand for alternative data in the U.S. is experiencing significant growth due to rise of fintech. As financial technology companies innovate and disrupt traditional banking and financial services, they increasingly rely on alternative data to assess creditworthiness and mitigate risk. For instance, fintech firms often use non-traditional data sources such as payment histories, utility bills, and even social media behavior to evaluate borrowers who may lack comprehensive credit histories. This approach expands access to credit for underserved populations and enhances the overall efficiency of lending processes.
Asia Pacific region alternative data market is expected to achieve the fastest CAGR of 68.2% during the forecast period in the market. The growing trend of collaborative consumption is also impacting the alternative data market. As consumers increasingly adopt sharing economies and collaborative consumption models, businesses leverage alternative data to understand these markets' dynamics better. Companies identify emerging trends and consumer preferences by analyzing data related to shared services, peer-to-peer platforms, and subscription models. This understanding allows businesses to tailor their end users and marketing strategies to align with the evolving landscape of consumer behavior, thus capturing new market opportunities.
Some of the key players operating in the market include Dataminr and Preqin, among others.
Dataminr is a real-time information discovery and alerts company that analyzes publicly available data to provide actionable insights for various industries. Dataminr’s flagship products include Dataminr for News, Dataminr for Risk, Dataminr for Sports, customizable alerts, and alternative data. Moreover, Dataminr has developed partnerships with major platforms such as Twitter, which allows the company to access and analyze vast amounts of real-time data generated on social media. This collaboration enhances Dataminr’s ability to provide accurate and relevant insights, further solidifying its position in the alternative data market.
UBS Evidence Lab and YipitDataare some of the emerging market participants in the target market.
YipitData is an alternative data provider primarily delivering insights and analytics from many non-traditional data sources. YipitData's core end users include data derived from various sources, such as consumer transaction data, web scraping, app usage data, and more. By aggregating this information, the company provides detailed market insights to inform investment strategies across multiple sectors, including e-commerce, technology, and consumer goods. YipitData competes with several other firms, such as Quandl, RavenPack, and Second Measure, all end users varying data analytics and insights.
The following are the leading companies in the alternative data market. These companies collectively hold the largest market share and dictate industry trends.
View a comprehensive list of companies in the Alternative Data Market
In October 2024, Earnest Analytics, a data analytics company serving investors, businesses, and consulting firms, launched the Earnest Analytics Spend Index (EASI). This EASI is an alternative data-driven assessment of consumer activity by monitoring spending across 89 merchant category codes (MCC) and including thousands of U.S. merchants. The near real-time data is sourced from millions of de-identified U.S. consumers' credit and debit card transactions.
In August 2024, Bipsync, a research and workflow automation software provider, announced a data integration partnership with Preqin, a company specializing in alternative assets data, tools, and insights. This collaboration will enable Bipsync users to access the latest Preqin data on investors, private equity, venture capital, hedge funds, and more. The partnership aims to enhance the experience for clients across all asset classes and strategies, including investors, asset allocators, and fund managers, by providing them with top-tier alternative data to improve decision-making.
Report Attribute |
Details |
Market size value in 2025 |
USD 18.74 billion |
Revenue forecast in 2030 |
USD 135.72 billion |
Growth rate |
CAGR of 63.4% from 2025 to 2030 |
Actual data |
2017 - 2024 |
Forecast period |
2025 - 2030 |
Quantitative units |
Revenue in USD billion and CAGR from 2025 to 2030 |
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
Segments covered |
Data type, industry, end use, region |
Regional scope |
North America; Europe; Asia Pacific; South America; MEA |
Country Scope |
U.S.; Canada; Mexico; UK; Germany; France; China; Japan; India; South Korea; Australia; Brazil; Kingdom of Saudi Arabia (KSA); UAE; South Africa |
Key Companies Profiled |
1010Data; Advan; Dataminr; Earnest Research; M Science; Preqin; RavenPack; Thinknum Alternative Data; UBS Evidence Lab; YipitData |
Customization Scope |
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
Pricing and Purchase Options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |
This report forecasts revenue growths at global, regional, as well as at country levels and offers qualitative and quantitative analysis of the market trends for each of the segments and sub-segments from 2017 to 2030. For the purpose of this study, Grand View Research has segmented the global alternative data market based on data type, industry, end use, and region.
Data Type Outlook (Revenue, USD Billion, 2017 - 2030)
Credit & Debit Card Transactions
Email Receipts
Geo-location (Foot Traffic) Records
Mobile Application Usage
Satellite & Weather Data
Social & Sentiment Data
Web Scraped Data
Web Traffic
Other Data Types
Industry Outlook (Revenue, USD Billion, 2017 - 2030)
Automotive
BFSI
Energy
Industrial
IT & Telecommunications
Media & Entertainment
Real Estate & Construction
Retail
Transportation & Logistics
Other Industries
End Use Outlook (Revenue, USD Billion, 2017 - 2030)
Hedge Fund Operators
Investment Institutions
Retail Companies
Other End Use
Regional Outlook (Revenue, USD Billion, 2017 - 2030)
North America
U.S.
Canada
Mexico
Europe
UK
Germany
France
Asia Pacific
China
India
Japan
Australia
South Korea
South America
Brazil
Middle East & Africa
UAE
Saudi Arabia
South Africa
b. The global alternative data market size was estimated at USD 11.65 billion in 2024 and is expected to reach USD 18.74 billion in 2025.
b. The global alternative data market is expected to grow at a compound annual growth rate of 63.4% from 2025 to 2030 to reach USD 135.72 billion by 2030.
b. North America dominated the alternative data market with a share of over 56% in 2024. This is attributable to the presence of numerous players such as Advan, Dataminr, Eagle Alpha, M Science, and UBS Evidence Lab in the region.
b. Some key players operating in the alternative data market include 1010Data, Advan, Dataminr, Earnest Research, M Science, Preqin, RavenPack, Thinknum Alternative Data, UBS Evidence Lab, and YipitData.
b. Key factors that are driving the alternative data market growth include a significant increase in the types of alternative data sources over the last decade and rising demand for alternative data among hedge fund managers to gain alpha.
Table of Contents
Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Research Methodology
1.2.1. Information Procurement
1.3. Information or Data Analysis
1.4. Methodology
1.5. Research Scope and Assumptions
1.6. Market Formulation & Validation
1.7. Country Based Segment Share Calculation
1.8. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Alternative Data Market Variables, Trends, & Scope
3.1. Market Lineage Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.2. Market Restraint Analysis
3.2.3. Industry Challenge
3.3. Alternative Data Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Bargaining power of the suppliers
3.3.1.2. Bargaining power of the buyers
3.3.1.3. Threats of substitution
3.3.1.4. Threats from new entrants
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Economic and social landscape
3.3.2.3. Technological landscape
Chapter 4. Alternative Data Market Data Type Outlook
4.1. Alternative Data Market, By Data Type Analysis & Market Share, 2024 & 2030
4.2. Credit & Debit Card Transactions
4.2.1. Credit & debit card transactions market estimates and forecasts, 2017 - 2030 (USD Billion)
4.3. Email Receipts
4.3.1. Email receipts market estimates and forecasts, 2017 - 2030 (USD Billion)
4.4. Geo-location (Foot Traffic) Records
4.4.1. Geo-location (foot traffic) records market estimates and forecasts, 2017 - 2030 (USD Billion)
4.5. Mobile Application Usage
4.5.1. Mobile application usage market estimates and forecasts, 2017 - 2030 (USD Billion)
4.6. Harvesting Management
4.6.1. Harvesting management market estimates and forecasts, 2017 - 2030 (USD Billion)
4.7. Social & Sentiment Data
4.7.1. Social & sentiment data market estimates and forecasts, 2017 - 2030 (USD Billion)
4.8. Web Scraped Data
4.8.1. Web scraped data market estimates and forecasts, 2017 - 2030 (USD Billion)
4.9. Web Traffic
4.9.1. Web traffic market estimates and forecasts, 2017 - 2030 (USD Billion)
4.10. Other Data Types
4.10.1. Other data types market estimates and forecasts, 2017 - 2030 (USD Billion)
Chapter 5. Alternative Data Market Industry Outlook
5.1. Alternative Data Market, By Industry Analysis & Market Share, 2024 & 2030
5.2. Automotive
5.2.1. Automotive market estimates and forecasts, 2017 - 2030 (USD Billion)
5.3. BFSI
5.3.1. BFSI market estimates and forecasts, 2017 - 2030 (USD Billion)
5.4. Energy
5.4.1. Energy market estimates and forecasts, 2017 - 2030 (USD Billion)
5.5. Industrial
5.5.1. Industrial market estimates and forecasts, 2017 - 2030 (USD Billion)
5.6. IT & Telecommunications
5.6.1. IT & telecommunications market estimates and forecasts, 2017 - 2030 (USD Billion)
5.7. Media & Entertainment
5.7.1. Media & entertainment market estimates and forecasts, 2017 - 2030 (USD Billion)
5.8. Real Estate & Construction
5.8.1. Real estate & construction market estimates and forecasts, 2017 - 2030 (USD Billion)
5.9. Retail
5.9.1. Retail market estimates and forecasts, 2017 - 2030 (USD Billion)
5.10. Transportation & Logistics
5.10.1. Transportation & logistics market estimates and forecasts, 2017 - 2030 (USD Billion)
5.11. Other Industries
5.11.1. Other industries market estimates and forecasts, 2017 - 2030 (USD Billion)
Chapter 6. Alternative Data Market End Use Outlook
6.1. Alternative Data Market, By End Use Analysis & Market Share, 2024 & 2030
6.2. Hedge Fund Operators
6.2.1. Hedge fund operators market estimates and forecasts, 2017 - 2030 (USD Billion)
6.3. Investment Institutions
6.3.1. Investment institutions market estimates and forecasts, 2017 - 2030 (USD Billion)
6.4. Retail Companies
6.4.1. Retail companies market estimates and forecasts, 2017 - 2030 (USD Billion)
6.5. Other End Use
6.5.1. Other end users market estimates and forecasts, 2017 - 2030 (USD Billion)
Chapter 7. Alternative Data Market: Regional Estimates & Trend Analysis
7.1. Alternative Data Market Share, By Region, 2024 & 2030 (USD Billion)
7.2. North America
7.2.1. North America Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.2.2. U.S.
7.2.2.1. U.S. Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.2.3. Canada
7.2.3.1. Canada Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.2.4. Mexico
7.2.4.1. Mexico Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3. Europe
7.3.1. Europe Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.2. UK
7.3.2.1. UK Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.3. Germany
7.3.3.1. Germany Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.3.4. France
7.3.4.1. France Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4. Asia Pacific
7.4.1. Asia Pacific Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.2. China
7.4.2.1. China Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.3. Japan
7.4.3.1. Japan Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.4. Australia
7.4.4.1. Australia Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4.5. South Korea
7.4.5.1. South Korea Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.5. South America
7.5.1. South America Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.5.2. Brazil
7.5.2.1. Brazil Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.6. Middle East and Africa
7.6.1. Middle East and Africa Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.6.2. UAE
7.6.2.1. UAE Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.6.3. Saudi Arabia
7.6.3.1. Saudi Arabia Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.6.4. South Africa
7.6.4.1. South Africa Alternative Data Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
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. 1010Data
8.4.1.1. Participant’s Overview
8.4.1.2. Financial Performance
8.4.1.3. Product Benchmarking
8.4.1.4. Strategic Initiatives
8.4.2. Advan
8.4.2.1. Participant’s Overview
8.4.2.2. Financial Performance
8.4.2.3. Product Benchmarking
8.4.2.4. Strategic Initiatives
8.4.3. Dataminr
8.4.3.1. Participant’s Overview
8.4.3.2. Financial Performance
8.4.3.3. Product Benchmarking
8.4.3.4. Strategic Initiatives
8.4.4. Earnest Analytics
8.4.4.1. Participant’s Overview
8.4.4.2. Financial Performance
8.4.4.3. Product Benchmarking
8.4.4.4. Strategic Initiatives
8.4.5. M Science
8.4.5.1. Participant’s Overview
8.4.5.2. Financial Performance
8.4.5.3. Product Benchmarking
8.4.5.4. Strategic Initiatives
8.4.6. Preqin
8.4.6.1. Participant’s Overview
8.4.6.2. Financial Performance
8.4.6.3. Product Benchmarking
8.4.6.4. Strategic Initiatives
8.4.7. RavenPack
8.4.7.1. Participant’s Overview
8.4.7.2. Financial Performance
8.4.7.3. Product Benchmarking
8.4.7.4. Strategic Initiatives
8.4.8. Thinknum Alternative Data
8.4.8.1. Participant’s Overview
8.4.8.2. Financial Performance
8.4.8.3. Product Benchmarking
8.4.8.4. Strategic Initiatives
8.4.9. UBS Evidence Lab
8.4.9.1. Participant’s Overview
8.4.9.2. Financial Performance
8.4.9.3. Product Benchmarking
8.4.9.4. Strategic Initiatives
8.4.10. YipitData
8.4.10.1. Participant’s Overview
8.4.10.2. Financial Performance
8.4.10.3. Product Benchmarking
8.4.10.4. Strategic Initiatives
List of Tables
Table 1 Global alternative data market size estimates & forecasts 2017 - 2030 (USD Billion)
Table 2 Global alternative data market, by region 2017 - 2030 (USD Billion)
Table 3 Global alternative data market, by data type 2017 - 2030 (USD Billion)
Table 4 Global alternative data market, by industry 2017 - 2030 (USD Billion)
Table 5 Global alternative data market, by end users 2017 - 2030 (USD Billion)
Table 6 Credit & debit card transactions alternative data market, by region 2017 - 2030 (USD Billion)
Table 7 Email receipts alternative data market, by region 2017 - 2030 (USD Billion)
Table 8 Geo-location (foot traffic) records alternative data market, by region 2017 - 2030 (USD Billion)
Table 9 Mobile application usage alternative data market, by region 2017 - 2030 (USD Billion)
Table 10 Satellite & weather data alternative data market, by region 2017 - 2030 (USD Billion)
Table 11 Social & sentiment data alternative data market, by region 2017 - 2030 (USD Billion)
Table 12 Web scraped data alternative data market, by region 2017 - 2030 (USD Billion)
Table 13 Web traffic alternative data market, by region 2017 - 2030 (USD Billion)
Table 14 Other data types alternative data market, by region 2017 - 2030 (USD Billion)
Table 15 Automotive alternative data market, by region 2017 - 2030 (USD Billion)
Table 16 BFSI alternative data market, by region 2017 - 2030 (USD Billion)
Table 17 Energy alternative data market, by region 2017 - 2030 (USD Billion)
Table 18 IT & telecommunications alternative data market, by region 2017 - 2030 (USD Billion)
Table 19 Media & entertainment alternative data market, by region 2017 - 2030 (USD Billion)
Table 20 Real estate & construction alternative data market, by region 2017 - 2030 (USD Billion)
Table 21 Retail alternative data market, by region 2017 - 2030 (USD Billion)
Table 22 Transportation & logistics alternative data market, by region 2017 - 2030 (USD Billion)
Table 23 Other industries alternative data market, by region 2017 - 2030 (USD Billion)
Table 24 Hedge fund operators alternative data market, by region 2017 - 2030 (USD Billion)
Table 25 Investment institutions alternative data market, by region 2017 - 2030 (USD Billion)
Table 26 Retail companies alternative data market, by region 2017 - 2030 (USD Billion)
Table 27 Other end users alternative data market, by region 2017 - 2030 (USD Billion)
Table 28 North America alternative data market, by data type 2017 - 2030 (USD Billion)
Table 29 North America alternative data market, by industry 2017 - 2030 (USD Billion)
Table 30 North America alternative data market, by end users 2017 - 2030 (USD Billion)
Table 31 U.S. alternative data market, by data type 2017 - 2030 (USD Billion)
Table 32 U.S. alternative data market, by industry 2017 - 2030 (USD Billion)
Table 33 U.S. alternative data market, by end users 2017 - 2030 (USD Billion)
Table 34 Canada alternative data market, by data type 2017 - 2030 (USD Billion)
Table 35 Canada alternative data market, by industry 2017 - 2030 (USD Billion)
Table 36 Canada alternative data market, by end users 2017 - 2030 (USD Billion)
Table 37 Mexico alternative data market, by data type 2017 - 2030 (USD Billion)
Table 38 Mexico alternative data market, by industry 2017 - 2030 (USD Billion)
Table 39 Mexico alternative data market, by end users 2017 - 2030 (USD Billion)
Table 40 Europe alternative data market, by data type 2017 - 2030 (USD Billion)
Table 41 Europe alternative data market, by industry 2017 - 2030 (USD Billion)
Table 42 Europe alternative data market, by end users 2017 - 2030 (USD Billion)
Table 43 UK alternative data market, by data type 2017 - 2030 (USD Billion)
Table 44 UK alternative data market, by industry 2017 - 2030 (USD Billion)
Table 45 UK alternative data market, by end users 2017 - 2030 (USD Billion)
Table 46 Germany alternative data market, by data type 2017 - 2030 (USD Billion)
Table 47 Germany alternative data market, by industry 2017 - 2030 (USD Billion)
Table 48 Germany alternative data market, by end users 2017 - 2030 (USD Billion)
Table 49 France alternative data market, by data type 2017 - 2030 (USD Billion)
Table 50 France alternative data market, by industry 2017 - 2030 (USD Billion)
Table 51 France alternative data market, by end users 2017 - 2030 (USD Billion)
Table 52 Asia Pacific alternative data market, by data type 2017 - 2030 (USD Billion)
Table 53 Asia Pacific alternative data market, by industry 2017 - 2030 (USD Billion)
Table 54 Asia Pacific alternative data market, by end users 2017 - 2030 (USD Billion)
Table 55 China alternative data market, by data type 2017 - 2030 (USD Billion)
Table 56 China alternative data market, by industry 2017 - 2030 (USD Billion)
Table 57 China alternative data market, by end users 2017 - 2030 (USD Billion)
Table 58 India alternative data market, by data type 2017 - 2030 (USD Billion)
Table 59 India alternative data market, by industry 2017 - 2030 (USD Billion)
Table 60 India alternative data market, by end users 2017 - 2030 (USD Billion)
Table 61 Japan alternative data market, by data type 2017 - 2030 (USD Billion)
Table 62 Japan alternative data market, by industry 2017 - 2030 (USD Billion)
Table 63 Japan alternative data market, by end users 2017 - 2030 (USD Billion)
Table 64 Australia alternative data market, by data type 2017 - 2030 (USD Billion)
Table 65 Australia alternative data market, by industry 2017 - 2030 (USD Billion)
Table 66 Australia alternative data market, by end users 2017 - 2030 (USD Billion)
Table 67 South Korea alternative data market, by data type 2017 - 2030 (USD Billion)
Table 68 South Korea alternative data market, by industry 2017 - 2030 (USD Billion)
Table 69 South Korea alternative data market, by end users 2017 - 2030 (USD Billion)
Table 70 South America alternative data market, by data type 2017 - 2030 (USD Billion)
Table 71 South America alternative data market, by industry 2017 - 2030 (USD Billion)
Table 72 South America alternative data market, by end users 2017 - 2030 (USD Billion)
Table 73 Brazil alternative data market, by data type 2017 - 2030 (USD Billion)
Table 74 Brazil alternative data market, by industry 2017 - 2030 (USD Billion)
Table 75 Brazil alternative data market, by end users 2017 - 2030 (USD Billion)
Table 76 MEA alternative data market, by data type 2017 - 2030 (USD Billion)
Table 77 MEA alternative data market, by industry 2017 - 2030 (USD Billion)
Table 78 MEA alternative data market, by end users 2017 - 2030 (USD Billion)
Table 79 UAE alternative data market, by data type 2017 - 2030 (USD Billion)
Table 80 UAE alternative data market, by industry 2017 - 2030 (USD Billion)
Table 81 UAE alternative data market, by end users 2017 - 2030 (USD Billion)
Table 82 Saudi Arabia alternative data market, by data type 2017 - 2030 (USD Billion)
Table 83 Saudi Arabia alternative data market, by industry 2017 - 2030 (USD Billion)
Table 84 Saudi Arabia alternative data market, by end users 2017 - 2030 (USD Billion)
Table 85 South Africa alternative data market, by data type 2017 - 2030 (USD Billion)
Table 86 South Africa alternative data market, by industry 2017 - 2030 (USD Billion)
Table 87 South Africa alternative data market, by end users 2017 - 2030 (USD Billion)
List of Figures
Fig. 1 Alternative data market segmentation
Fig. 2 Information procurement
Fig. 3 Data analysis models
Fig. 4 Market formulation and validation
Fig. 5 Data validating & publishing
Fig. 6 Market snapshot
Fig. 7 Segment snapshot, by data type
Fig. 8 Segment snapshot, by industry
Fig. 9 Segment snapshot by end users
Fig. 10 Competitive landscape snapshot
Fig. 11 Alternative data market value, 2017 - 2030 (USD Billion)
Fig. 12 Alternative data market - Industry value chain analysis
Fig. 13 Alternative data market - Market trends
Fig. 14 Alternative data market: Porter’s analysis
Fig. 15 Alternative data market: PESTEL analysis
Fig. 16 Alternative data market, by data type: Key takeaways
Fig. 17 Alternative data market, by data type: Market share, 2024 & 2030
Fig. 18 Credit & debit card transactions alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 19 Email receipts alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 20 Geo-location (foot traffic) records alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 21 Mobile application usage alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 22 Satellite & weather data alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 23 Social & sentiment data alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 24 Web scraped data alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 25 Web traffic alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 26 Other data types alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 27 Alternative data market, by industry: Key takeaways
Fig. 28 Alternative data market, by industry: Market share, 2024 & 2030
Fig. 29 Automotive alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 30 BFSI alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 31 Energy alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 32 IT & telecommunications alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 33 Media & entertainment alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 34 Real estate & construction alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 35 Retail alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 36 Transportation & logistics alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 37 Other industries alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 38 Alternative data market, by end users: Key takeaways
Fig. 39 Alternative data market, by end users: Market share, 2024 & 2030
Fig. 40 Hedge fund operators alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 41 Investment institutions alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 42 Retail companies alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 43 Other end users alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 44 Global alternative data market revenue, by region, 2024 & 2030 (USD Billion)
Fig. 45 North America alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 46 U.S. alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 47 Canada alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 48 Mexico alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 49 Europe alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 50 UK alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 51 Germany alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 52 France alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 53 Asia Pacific alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 54 China alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 55 India alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 56 Japan alternative data Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 57 Australia alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 58 South Korea alternative data Market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 59 South America alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 60 Brazil alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 61 Middle East & Africa alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 62 UAE alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 63 Saudi Arabia alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 64 South Africa alternative data market estimates & forecasts, 2017 - 2030 (USD Billion)
Fig. 65 Key company categorization
Fig. 66 Alternative data market - Key company market share analysis, 2024
Fig. 67 Strategic framework
Market Segmentation
Report content
Qualitative Analysis
Quantitative Analysis
Research Methodology
Grand View Research employs a comprehensive and iterative research methodology focused on minimizing deviance in order to provide the most accurate estimates and forecast possible. The company utilizes a combination of bottom-up and top-down approaches for segmenting and estimating quantitative aspects of the market. In Addition, a recurring theme prevalent across all our research reports is data triangulation that looks market from three different perspectives. Critical elements of the methodology employed for all our studies include:
Preliminary data mining
Raw market data is obtained and collated on a broad front. Data is continuously filtered to ensure that only validated and authenticated sources are considered. In addition, data is also mined from a host of reports in our repository, as well as a number of reputed paid databases. For a comprehensive understanding of the market, it is essential to understand the complete value chain, and in order to facilitate this; we collect data from raw material suppliers, distributors as well as buyers.
Technical issues and trends are obtained from surveys, technical symposia, and trade journals. Technical data is also gathered from an intellectual property perspective, focusing on white space and freedom of movement. Industry dynamics with respect to drivers, restraints, pricing trends are also gathered. As a result, the material developed contains a wide range of original data that is then further cross-validated and authenticated with published sources.
Statistical model
Our market estimates and forecasts are derived through simulation models. A unique model is created customized for each study. Gathered information for market dynamics, technology landscape, application development, and pricing trends are fed into the model and analyzed simultaneously. These factors are studied on a comparative basis, and their impact over the forecast period is quantified with the help of correlation, regression, and time series analysis. Market forecasting is performed via a combination of economic tools, technological analysis, industry experience, and domain expertise.
Econometric models are generally used for short-term forecasting, while technological market models are used for long-term forecasting. These are based on an amalgamation of the technology landscape, regulatory frameworks, economic outlook, and business principles. A bottom-up approach to market estimation is preferred, with key regional markets analyzed as separate entities and integration of data to obtain global estimates. This is critical for a deep understanding of the industry as well as ensuring minimal errors. Some of the parameters considered for forecasting include:
• Market drivers and restraints, along with their current and expected impact
• Raw material scenario and supply v/s price trends
• Regulatory scenario and expected developments
• Current capacity and expected capacity additions up to 2030
We assign weights to these parameters and quantify their market impact using weighted average analysis, to derive an expected market growth rate.
Primary validation
This is the final step in estimating and forecasting for our reports. Exhaustive primary interviews are conducted, face to face as well as over the phone to validate our findings and assumptions used to obtain them. Interviewees are approached from leading companies across the value chain including suppliers, technology providers, domain experts, and buyers so as to ensure a holistic and unbiased picture of the market. These interviews are conducted across the globe, with language barriers overcome with the aid of local staff and interpreters. Primary interviews not only help in data validation but also provide critical insights into the market, current business scenario, and future expectations and enhance the quality of our reports. All our estimates and forecast are verified through exhaustive primary research with Key Industry Participants (KIPs) which typically include:
• Market-leading companies
• Raw material suppliers
• Product distributors
• Buyers
The key objectives of primary research are as follows:
• To validate our data in terms of accuracy and acceptability
• To gain an insight in to the current market and future expectations
Data Collection Matrix
Perspective |
Primary research |
Secondary research |
Supply-side |
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Demand-side |
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Industry Analysis Matrix
Qualitative analysis |
Quantitative analysis |
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