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Alternative Data Market to Reach US$ 72.6 Bn by 2030

The Alternative Data market is projected to reach US$ 72.6 Bn by 2030. And registering a CAGR of around 60.2% over the forecast period 2021 – 2030.

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Growth Factors

 The increasing emphasis on gaining alpha from hedge funds is expected to boost the demand for alternative data. The asset managers from hedge funds, mutual funds, private equity funds, pension funds, unit trusts, life insurance companies, and other BFSI entities are highly inclining to use alternative data to derive predictive insights. Moreover, the use of alternative data for risk management processes is expected to drive the market.

emerging sources including mobile devices, social media, satellites, sensors, and IoT-enabled devices are gaining wider popularity. As such, the companies are actively expanding their offering by gathering data from all such sources. The rising demand for alternative data from hedge funds is expected to boost market growth significantly. More than half of hedge fund managers are now using alternative data to gain a competitive edge by generating outperformance and supporting the risk management processes.

Report Coverage

Report Scope Details
Market Size USD 72.6 billion by 2030
Growth Rate CAGR of 60.2% From 2021 to 2030
Base Year 2020
Historic Data 2017 to 2020
Forecast Period 2021 to 2030
Segments Covered Data type, Industry, End user
Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Mentioned 1010Data; Advan; Dataminr; Earnest Research; M Science; Preqin; RavenPack; Thinknum Alternative Data; UBS Evidence Lab; YipitData

Report Highlights

The credit and debit card transactions segment led the market and accounted for more than 15.05% of the global revenue in 2020. This can be attributed to the high demand for this type of data from investors, coupled with the presence of numerous providers of credit card transaction data.

The social and sentiment data and mobile application usage segments are estimated to witness significant growth over the forecast period. The growth is attributed to the rising demand for smartphone usage data from the retail industry. Retail companies utilize such data to analyze the user’s e-commerce application usage patterns.

The hedge fund operators segment led the market and accounted for more than 70.08% of the global revenue in 2020. This is attributed to the high demand for alt data from hedge fund companies. The hedge fund operators such as Blackrock Advisors, AQR Capital Management, and Bridgewater Associates highly utilize alt data to generate alpha.

The retail companies segment is expected to register the highest CAGR from 2021 to 2030. The growth is attributed to the novel use cases of alternative data, such as geo-location data, satellite data, social media, and sentiment data, by retail companies to take strategic decisions.

The banking, financial services, and insurance (BFSI) industry led the market and accounted for more than 15.08% of the global revenue in 2020. The growth can be attributed to the increasing demand for insightful data from various BFSI entities, including hedge funds, mutual funds, private equity funds, pension funds, unit trusts, and life insurance companies.

North America dominated the market and accounted for over 68.05% share of the global revenue in 2020. The regional market is also anticipated to maintain its lead over the forecast period. This is attributed to the presence of numerous players in the market, such as Advan, Dataminr, Eagle Alpha, M Science, and UBS Evidence Lab.

The European market held a significant revenue share in 2020 owing to substantial alternative Assets under Management (AUM). These assets are primarily distributed across various classes, including private equity, hedge funds, real estate, and natural resources.

Key Players

  • 1010Data
  • Advan
  • Dataminr
  • Earnest Research
  • M Science
  • Preqin
  • RavenPack
  • Thinknum Alternative Data
  • UBS Evidence Lab
  • YipitData

Market Segmentation

  • Data Type
    • 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
    • Automotive
    • BFSI
    • Energy
    • Industrial
    • IT & Telecommunications
    • Media & Entertainment
    • Real Estate & Construction
    • Retail
    • Transportation & Logistics
    • Other Industries
  • End-user
    • Hedge Fund Operators
    • Investment Institutions
    • Retail Companies
    • Other End Users
  • Regional
    • North America
      • U.S.
      • Canada
      • Mexico
    • Europe
      • U.K.
      • Germany
      • France
    • Asia Pacific
      • China
      • India
      • Japan
    • South America
      • Brazil
    • Middle East & Africa

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Reasons to Purchase this Report:

– Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
– Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
– Market value USD Million and volume Units Million data for each segment and sub-segment
– Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
– Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Table of Contents

Chapter 1.  Introduction

1.1.  Research Objective

1.2.  Scope of the Study

1.3.  Definition

Chapter 2.  Research Methodology

2.1.  Research Approach

2.2.  Data Sources

2.3.  Assumptions & Limitations

Chapter 3.  Executive Summary

3.1.  Market Snapshot

Chapter 4.  Market Variables and Scope

4.1.  Introduction

4.2.  Market Classification and Scope

4.3.  Industry Value Chain Analysis

4.3.1.    Raw Material Procurement Analysis

4.3.2.    Sales and Distribution Channel Analysis

4.3.3.    Downstream Buyer Analysis

Chapter 5.  Market Dynamics Analysis and Trends

5.1.  Market Dynamics

5.1.1.    Market Drivers

5.1.2.    Market Restraints

5.1.3.    Market Opportunities

5.2.  Porter’s Five Forces Analysis

5.2.1.    Bargaining power of suppliers

5.2.2.    Bargaining power of buyers

5.2.3.    Threat of substitute

5.2.4.    Threat of new entrants

5.2.5.    Degree of competition

Chapter 6.  Competitive Landscape

6.1.1.    Company Market Share/Positioning Analysis

6.1.2.    Key Strategies Adopted by Players

6.1.3.    Vendor Landscape

6.1.3.1.        List of Suppliers

6.1.3.2.        List of Buyers

Chapter 7.  Global Alternative Data Market, By Data Type

7.1.  Alternative Data Market, by Data Type, 2021-2030

7.1.1.    Credit & Debit Card Transactions

7.1.1.1.        Market Revenue and Forecast (2017-2030)

7.1.2.    Email Receipts

7.1.2.1.        Market Revenue and Forecast (2017-2030)

7.1.3.    Geo-location (Foot Traffic) Records

7.1.3.1.        Market Revenue and Forecast (2017-2030)

7.1.4.    Mobile Industry Usage

7.1.4.1.        Market Revenue and Forecast (2017-2030)

7.1.5.    Satellite & Weather Data

7.1.5.1.        Market Revenue and Forecast (2017-2030)

7.1.6.    Social & Sentiment Data

7.1.6.1.        Market Revenue and Forecast (2017-2030)

7.1.7.    Web Scraped Data

7.1.7.1.        Market Revenue and Forecast (2017-2030)

7.1.8.    Web Traffic

7.1.8.1.        Market Revenue and Forecast (2017-2030)

7.1.9.    Other Data Types

7.1.9.1.        Market Revenue and Forecast (2017-2030)

Chapter 8.  Global Alternative Data Market, By Industry

8.1.  Alternative Data Market, by Industry, 2021-2030

8.1.1.    Automotive

8.1.1.1.        Market Revenue and Forecast (2017-2030)

8.1.2.    BFSI

8.1.2.1.        Market Revenue and Forecast (2017-2030)

8.1.3.    Energy

8.1.3.1.        Market Revenue and Forecast (2017-2030)

8.1.4.    Industrial

8.1.4.1.        Market Revenue and Forecast (2017-2030)

8.1.5.    IT & Telecommunications

8.1.5.1.        Market Revenue and Forecast (2017-2030)

8.1.6.    Media & Entertainment

8.1.6.1.        Market Revenue and Forecast (2017-2030)

8.1.7.    Real Estate & Construction

8.1.7.1.        Market Revenue and Forecast (2017-2030)

8.1.8.    Retail

8.1.8.1.        Market Revenue and Forecast (2017-2030)

8.1.9.    Transportation & Logistics

8.1.9.1.        Market Revenue and Forecast (2017-2030)

8.1.10.  Other Industries

8.1.10.1.      Market Revenue and Forecast (2017-2030)

Chapter 9.  Global Alternative Data Market, By End User

9.1.  Alternative Data Market, by End User, 2021-2030

9.1.1.    Hedge Fund Operators

9.1.1.1.        Market Revenue and Forecast (2017-2030)

9.1.2.    Investment Institutions

9.1.2.1.        Market Revenue and Forecast (2017-2030)

9.1.3.    Retail Companies

9.1.3.1.        Market Revenue and Forecast (2017-2030)

9.1.4.    Other End Users

9.1.4.1.        Market Revenue and Forecast (2017-2030)

Chapter 10.      Global Alternative Data Market, Regional Estimates and Trend Forecast

10.1.        North America

10.1.1.  Market Revenue and Forecast, by Data Type (2017-2030)

10.1.2.  Market Revenue and Forecast, by Industry (2017-2030)

10.1.3.  Market Revenue and Forecast, by End User (2017-2030)

10.1.4.  U.S.

10.1.4.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.1.4.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.1.4.3.      Market Revenue and Forecast, by End User (2017-2030)

10.1.5.  Rest of North America

10.1.5.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.1.5.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.1.5.3.      Market Revenue and Forecast, by End User (2017-2030)

10.2.        Europe

10.2.1.  Market Revenue and Forecast, by Data Type (2017-2030)

10.2.2.  Market Revenue and Forecast, by Industry (2017-2030)

10.2.3.  Market Revenue and Forecast, by End User (2017-2030)

10.2.4.  UK

10.2.4.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.2.4.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.2.4.3.      Market Revenue and Forecast, by End User (2017-2030)

10.2.5.  Germany

10.2.5.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.2.5.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.2.5.3.      Market Revenue and Forecast, by End User (2017-2030)

10.2.6.  France

10.2.6.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.2.6.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.2.6.3.      Market Revenue and Forecast, by End User (2017-2030)

10.2.7.  Rest of Europe

10.2.7.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.2.7.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.2.7.3.      Market Revenue and Forecast, by End User (2017-2030)

10.3.        APAC

10.3.1.  Market Revenue and Forecast, by Data Type (2017-2030)

10.3.2.  Market Revenue and Forecast, by Industry (2017-2030)

10.3.3.  Market Revenue and Forecast, by End User (2017-2030)

10.3.4.  India

10.3.4.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.3.4.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.3.4.3.      Market Revenue and Forecast, by End User (2017-2030)

10.3.5.  China

10.3.5.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.3.5.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.3.5.3.      Market Revenue and Forecast, by End User (2017-2030)

10.3.6.  Japan

10.3.6.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.3.6.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.3.6.3.      Market Revenue and Forecast, by End User (2017-2030)

10.3.7.  Rest of APAC

10.3.7.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.3.7.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.3.7.3.      Market Revenue and Forecast, by End User (2017-2030)

10.4.        MEA

10.4.1.  Market Revenue and Forecast, by Data Type (2017-2030)

10.4.2.  Market Revenue and Forecast, by Industry (2017-2030)

10.4.3.  Market Revenue and Forecast, by End User (2017-2030)

10.4.4.  GCC

10.4.4.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.4.4.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.4.4.3.      Market Revenue and Forecast, by End User (2017-2030)

10.4.5.  North Africa

10.4.5.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.4.5.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.4.5.3.      Market Revenue and Forecast, by End User (2017-2030)

10.4.6.  South Africa

10.4.6.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.4.6.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.4.6.3.      Market Revenue and Forecast, by End User (2017-2030)

10.4.7.  Rest of MEA

10.4.7.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.4.7.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.4.7.3.      Market Revenue and Forecast, by End User (2017-2030)

10.5.        Latin America

10.5.1.  Market Revenue and Forecast, by Data Type (2017-2030)

10.5.2.  Market Revenue and Forecast, by Industry (2017-2030)

10.5.3.  Market Revenue and Forecast, by End User (2017-2030)

10.5.4.  Brazil

10.5.4.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.5.4.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.5.4.3.      Market Revenue and Forecast, by End User (2017-2030)

10.5.5.  Rest of LATAM

10.5.5.1.      Market Revenue and Forecast, by Data Type (2017-2030)

10.5.5.2.      Market Revenue and Forecast, by Industry (2017-2030)

10.5.5.3.      Market Revenue and Forecast, by End User (2017-2030)

Chapter 11.  Company Profiles

11.1.              1010Data

11.1.1.  Company Overview

11.1.2.  Product Offerings

11.1.3.  Financial Performance

11.1.4.  Recent Initiatives

11.2.              Advan

11.2.1.  Company Overview

11.2.2.  Product Offerings

11.2.3.  Financial Performance

11.2.4.  Recent Initiatives

11.3.              Dataminr

11.3.1.  Company Overview

11.3.2.  Product Offerings

11.3.3.  Financial Performance

11.3.4.  Recent Initiatives

11.4.              Earnest Research

11.4.1.  Company Overview

11.4.2.  Product Offerings

11.4.3.  Financial Performance

11.4.4.  Recent Initiatives

11.5.              M Science

11.5.1.  Company Overview

11.5.2.  Product Offerings

11.5.3.  Financial Performance

11.5.4.  Recent Initiatives

11.6.              Preqin

11.6.1.  Company Overview

11.6.2.  Product Offerings

11.6.3.  Financial Performance

11.6.4.  Recent Initiatives

11.7.              RavenPack

11.7.1.  Company Overview

11.7.2.  Product Offerings

11.7.3.  Financial Performance

11.7.4.  Recent Initiatives

11.8.              Thinknum Alternative Data

11.8.1.  Company Overview

11.8.2.  Product Offerings

11.8.3.  Financial Performance

11.8.4.  Recent Initiatives

11.9.              UBS Evidence Lab

11.9.1.  Company Overview

11.9.2.  Product Offerings

11.9.3.  Financial Performance

11.9.4.  Recent Initiatives

11.10.           YipitData

11.10.1.               Company Overview

11.10.2.               Product Offerings

11.10.3.               Financial Performance

11.10.4.               Recent Initiatives

Chapter 12.  Research Methodology

12.1.              Primary Research

12.2.              Secondary Research

12.3.              Assumptions

Chapter 13.  Appendix

13.1.              About Us

13.2.              Glossary of Terms

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