2026 Global: Alternative Data-Competitive Review (2032) report
Description
The 2026 Global: Alternative Data-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for alternative data by geography and historical trend. The scope of the report extends to sizing of the alternative data market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
1010data, Dataminr, Eagle Alpha, M Science, Nasdaq/Quandl, Preqin, RavenPack, The Earnest Research Company, Thinknum, and YipitData are among the ten major companies shaping the alternative data landscape today. 1010data specializes in big‑data analytics and enterprise data management, serving retail, finance, and telecom clients with scalable platforms for complex dataset ingestion and querying. Dataminr converts public social, news, and signal data into real‑time alerts used by finance, corporate security, and public sector customers to detect breaking events and market-moving developments. Eagle Alpha operates as a marketplace and advisory for alternative datasets, providing curated sources such as web traffic, credit card receipts, and satellite imagery alongside vendor due diligence and procurement support for institutional investors. M Science focuses on transaction and web‑derived signals to create company and sector intelligence used by asset managers and private equity teams to benchmark revenue and market share trends. Nasdaq’s Quandl unit aggregates and standardizes both traditional and alternative datasets—ranging from financial metrics to bespoke third‑party feeds—enabling quantitative modelers and researchers to integrate licensed datasets into investment workflows.
Preqin, RavenPack, The Earnest Research Company, Thinknum, and YipitData round out the roster with specialized strengths that address complementary use cases across asset management, corporate strategy, and market research. Preqin is the leading provider of private markets data and analytics, offering fund performance, fundraising, and deal‑level datasets that underlie due diligence and allocation decisions in alternative asset management. RavenPack excels in structured news and sentiment analytics, transforming unstructured media and earnings call text into event and sentiment indicators used in systematic strategies and risk monitoring. The Earnest Research Company provides aggregated consumer transaction and spending intelligence that helps investors track product and channel performance at the company and category level. Thinknum is known for web‑scraped company operational metrics—job listings, product listings, pricing and supply signals—packaged for financial analysts seeking timely, company‑specific KPIs. YipitData offers bespoke web‑scraping and analyst‑driven research, combining transaction, app‑usage, and e‑commerce signals into tailored reports and feeds for institutional investors pursuing deep, company‑level insights.
Across these ten firms, common capabilities drive their market prominence: robust data ingestion pipelines, legal and privacy controls for licensed or proprietary sources, analytic tooling (including machine learning and NLP), and delivery options spanning APIs, dashboards, and bespoke research services. Buyers increasingly prioritize dataset provenance, model explainability, and AI readiness—trends reflected in vendor roadmaps that emphasize transparent metadata, faster trialability, and integration with AI/ML pipelines. While some providers concentrate on broad marketplaces and curated vendor ecosystems (Eagle Alpha, Nasdaq/Quandl), others differentiate through domain specialization—private markets (Preqin), transaction receipts (Earnest, M Science), news sentiment (RavenPack), or tailored scraping and analyst services (YipitData, Thinknum)—allowing asset managers and corporate clients to compose multi‑source signals that complement traditional financial data in portfolio construction and operational intelligence.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for alternative data by geography and historical trend. The scope of the report extends to sizing of the alternative data market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
1010data, Dataminr, Eagle Alpha, M Science, Nasdaq/Quandl, Preqin, RavenPack, The Earnest Research Company, Thinknum, and YipitData are among the ten major companies shaping the alternative data landscape today. 1010data specializes in big‑data analytics and enterprise data management, serving retail, finance, and telecom clients with scalable platforms for complex dataset ingestion and querying. Dataminr converts public social, news, and signal data into real‑time alerts used by finance, corporate security, and public sector customers to detect breaking events and market-moving developments. Eagle Alpha operates as a marketplace and advisory for alternative datasets, providing curated sources such as web traffic, credit card receipts, and satellite imagery alongside vendor due diligence and procurement support for institutional investors. M Science focuses on transaction and web‑derived signals to create company and sector intelligence used by asset managers and private equity teams to benchmark revenue and market share trends. Nasdaq’s Quandl unit aggregates and standardizes both traditional and alternative datasets—ranging from financial metrics to bespoke third‑party feeds—enabling quantitative modelers and researchers to integrate licensed datasets into investment workflows.
Preqin, RavenPack, The Earnest Research Company, Thinknum, and YipitData round out the roster with specialized strengths that address complementary use cases across asset management, corporate strategy, and market research. Preqin is the leading provider of private markets data and analytics, offering fund performance, fundraising, and deal‑level datasets that underlie due diligence and allocation decisions in alternative asset management. RavenPack excels in structured news and sentiment analytics, transforming unstructured media and earnings call text into event and sentiment indicators used in systematic strategies and risk monitoring. The Earnest Research Company provides aggregated consumer transaction and spending intelligence that helps investors track product and channel performance at the company and category level. Thinknum is known for web‑scraped company operational metrics—job listings, product listings, pricing and supply signals—packaged for financial analysts seeking timely, company‑specific KPIs. YipitData offers bespoke web‑scraping and analyst‑driven research, combining transaction, app‑usage, and e‑commerce signals into tailored reports and feeds for institutional investors pursuing deep, company‑level insights.
Across these ten firms, common capabilities drive their market prominence: robust data ingestion pipelines, legal and privacy controls for licensed or proprietary sources, analytic tooling (including machine learning and NLP), and delivery options spanning APIs, dashboards, and bespoke research services. Buyers increasingly prioritize dataset provenance, model explainability, and AI readiness—trends reflected in vendor roadmaps that emphasize transparent metadata, faster trialability, and integration with AI/ML pipelines. While some providers concentrate on broad marketplaces and curated vendor ecosystems (Eagle Alpha, Nasdaq/Quandl), others differentiate through domain specialization—private markets (Preqin), transaction receipts (Earnest, M Science), news sentiment (RavenPack), or tailored scraping and analyst services (YipitData, Thinknum)—allowing asset managers and corporate clients to compose multi‑source signals that complement traditional financial data in portfolio construction and operational intelligence.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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