Alternative Data Market by Data Type (Credit & Debit Card Transactions, Email Receipts, Geo-location (Foot Traffic) Records), Category (Structured, Unstructured), Deployment Model, End User Industry - Global Forecast 2025-2032
Description
The Alternative Data Market was valued at USD 10.46 billion in 2024 and is projected to grow to USD 11.56 billion in 2025, with a CAGR of 11.17%, reaching USD 24.41 billion by 2032.
Harnessing Alternative Data to Drive Strategic Agility, Market Resilience, and Competitive Advantage in a Rapidly Evolving Global Business Environment
In an era defined by rapid technological advancement and increasing data complexity, alternative data has emerged as a critical asset for organizations striving to achieve strategic agility and market resilience. Traditional data sources alone no longer suffice to paint a comprehensive picture of consumer behavior, operational efficiency, or competitive dynamics. As businesses navigate shifting economic landscapes and evolving regulatory frameworks, alternative data stands out as a differentiator that can unlock deeper insights and foster proactive decision-making.
Moreover, the transition toward data-driven cultures demands an understanding of unconventional datasets-ranging from geolocation footprints to social media sentiment-that offer real-time visibility into market trends. By leveraging these rich streams of information, industry leaders can anticipate emerging opportunities, optimize supply chains, and mitigate risks associated with market volatility. Consequently, the strategic adoption of alternative data has become a foundational pillar for enterprises aiming to sustain long-term growth in an increasingly interconnected environment.
As this introduction sets the stage, the following analysis will explore the transformative shifts shaping the alternative data ecosystem, evaluate the impact of policy changes, and provide actionable insights that empower organizations to harness the full potential of these novel information sources.
Uncovering Transformative Shifts Shaping the Alternative Data Landscape and Redefining Analytical Strategies Across Sectors Under Dynamic Market Forces
The alternative data landscape is undergoing profound transformations driven by converging technological innovations and evolving stakeholder expectations. Advancements in artificial intelligence and machine learning have catalyzed the development of sophisticated analytical models capable of extracting nuanced patterns from previously untapped data sources. Simultaneously, the proliferation of Internet of Things devices has exponentially expanded the breadth and frequency of real-time data generation, enabling organizations to monitor operational and consumer behaviors with unprecedented granularity.
In parallel, heightened scrutiny from data privacy regulators has reshaped industry practices, compelling providers to enhance governance frameworks and reinforce ethical data collection protocols. This regulatory impetus has accelerated the adoption of anonymization techniques and consent management platforms, ensuring that data utilization aligns with legal and societal norms. At the same time, the growing demand for on-demand analytics has fueled the rise of cloud-native architectures, which support scalable and flexible deployment models while facilitating collaboration between data producers and consumers.
Together, these transformative shifts are redefining how organizations approach research, risk assessment, and strategic planning. By embracing next-generation analytics, robust governance, and scalable infrastructure, decision-makers can harness alternative data to drive tangible business outcomes and maintain a competitive edge in today’s dynamic business environment.
Assessing the Far-Reaching Cumulative Impact of United States Tariffs Implemented in 2025 on Cross-Border Data Flows and Operational Economics
The introduction of new tariff measures by the United States in 2025 has had reverberating effects across the alternative data ecosystem, influencing both the cost structures and operational strategies of global data providers. Tariffs targeting cloud infrastructure components, data acquisition hardware, and satellite imagery services have led to a reassessment of supply chains and cost pass-through models. As a result, organizations that depend on imported sensors or specialized data-collection devices have encountered elevated procurement expenses, prompting a search for alternative sourcing arrangements.
Furthermore, the increased cost burden has encouraged more enterprises to optimize their data portfolios by prioritizing high-value datasets and strengthening partnerships with domestic data aggregators. This shift has driven innovation in in-house data collection, including the deployment of regionally managed mobile application analytics and locally sourced geolocation records. Additionally, rising import duties have accelerated strategic alliances between domestic technology firms and international satellite service providers, fostering joint ventures that mitigate tariff impacts and preserve access to critical data streams.
Overall, the cumulative influence of these tariff changes has prompted a recalibration of both procurement strategies and collaborative frameworks. By balancing cost management with strategic sourcing diversification, organizations can continue to access essential alternative data while navigating the complexities introduced by new trade policies.
Exploring Core Segmentation Insights to Illuminate Market Dimensions Across Data Type, Category, Deployment Model, and End User Industry
A comprehensive understanding of the alternative data market requires careful consideration of its core segments, each offering distinct insights and strategic value. When examining data type, it becomes evident that credit and debit card transactions provide real-time indicators of consumer spending patterns, while email receipts reveal nuanced behavioral details about purchase journeys. Geo-location records, often referred to as foot traffic data, deliver tangible measures of physical presence, and mobile application usage analytics capture digital engagement metrics in an increasingly app-centric world. Beyond these, satellite and weather data offer macro-environmental perspectives, social and sentiment data reflect public opinion dynamics, and web scraped data aggregates diverse online sources to uncover emergent trends.
Transitioning to the category dimension, understanding the dichotomy between structured and unstructured data is crucial. Structured datasets, characterized by predefined schemas and relational formats, enable straightforward analysis using traditional database tools. In contrast, unstructured datasets-encompassing free-form text, images, and multimedia content-require advanced natural language processing and computer vision techniques to extract meaningful signals. Furthermore, the choice between cloud and on-premise deployment models shapes scalability, security, and integration strategies, with cloud solutions often preferred for their flexibility and rapid provisioning, while on-premise environments continue to attract organizations with stringent compliance requirements.
Lastly, the industry verticals that consume alternative data play a pivotal role in defining use cases and value propositions. Energy and utilities firms leverage weather and satellite information to optimize asset performance, manufacturing enterprises harness real-time sensor and sentiment data for predictive maintenance, retail and e-commerce players utilize transaction and geolocation insights to refine customer experiences, and transportation and logistics providers integrate mobile application and traffic flow information to enhance route planning. Recognizing these segmentation nuances enables stakeholders to tailor their strategies and unlock the full potential of alternative data across diverse operational contexts.
Deciphering Key Regional Insights Across the Americas, Europe Middle East & Africa, and Asia Pacific to Inform Geostrategic Decision-Making
Regional nuances play a critical role in shaping the alternative data ecosystem, as each geographic area exhibits unique regulatory landscapes, technological infrastructures, and end-user demands. In the Americas, well-established financial markets and mature e-commerce sectors drive robust demand for credit and debit card transaction analytics, while innovative startups are actively exploring social and sentiment data to enhance marketing strategies. Simultaneously, growing investments in cloud infrastructure across North and South America are facilitating broader adoption of real-time analytics platforms.
Across Europe, the Middle East, and Africa, data privacy regulations such as the General Data Protection Regulation have established stringent standards for consent and data sovereignty, prompting providers to develop localized solutions that comply with regional requirements. This environment has catalyzed the growth of on-premise implementations among industries with critical security considerations, while also fostering collaborative frameworks that enable cross-border data sharing under harmonized governance protocols.
In the Asia-Pacific region, rapid digital transformation and expanding urbanization have fueled the proliferation of mobile application usage and geo-location analytics. Governments and corporate entities alike are investing heavily in smart city initiatives and satellite monitoring capabilities to manage infrastructure and environmental sustainability. By understanding these distinct regional factors, stakeholders can strategically allocate resources, forge relevant partnerships, and adapt their product offerings to resonate with local market dynamics.
Illuminating Strategic Dynamics Through In-Depth Analysis of Leading Alternative Data Providers Driving Innovation and Value Creation
Leading companies in the alternative data space are driving innovation through strategic investments in technology, partnerships, and talent acquisition. Several frontrunners have established proprietary data collection infrastructures that integrate advanced sensors and machine learning pipelines, enabling them to deliver high-frequency insights across multiple verticals. Others have forged alliances with cloud service providers to leverage scalable computing resources and ensure seamless data processing.
Additionally, some organizations have distinguished themselves by developing specialized platforms that democratize access to alternative data, offering self-service tools for analytics and visualization. These platforms often feature intuitive user interfaces and API integrations, empowering clients to incorporate diverse datasets into their existing workflows. Moreover, a number of companies have pursued targeted acquisitions to expand their data portfolios, integrating satellite imagery firms or sentiment analysis startups to broaden their value proposition.
Talent strategies also set leading firms apart, as they cultivate multidisciplinary teams composed of data scientists, domain experts, and regulatory specialists. This holistic approach ensures that data solutions are not only technically robust but also aligned with evolving compliance requirements and industry standards. Collectively, these strategic moves underscore the pivotal role that innovation and collaboration play in shaping the competitive landscape of the alternative data sector.
Formulating Actionable Recommendations to Empower Industry Leaders in Leveraging Alternative Data for Sustainable Growth and Competitive Differentiation
To capitalize on the opportunities presented by alternative data, industry leaders should invest in establishing robust governance frameworks that ensure data quality, privacy compliance, and ethical usage. By developing clear policies for data sourcing, anonymization, and consent management, organizations can mitigate regulatory risks while fostering trust among stakeholders. Concurrently, integrating state-of-the-art machine learning models and real-time analytics platforms will enable more accurate insights and faster response times to market developments.
Furthermore, forging strategic partnerships with specialized data providers and technology vendors can accelerate innovation and reduce time to market. Collaborative ecosystems, where proprietary datasets are combined with external expertise, unlock new use cases and enhance the depth of analytical outputs. Equally important is the cultivation of in-house talent through targeted training programs in data science, cloud architecture, and privacy law, ensuring that teams possess the skills needed to navigate complex data environments.
Lastly, organizations should adopt a phased approach to deploying alternative data initiatives, beginning with pilot projects that address high-impact business questions. This iterative methodology allows for continuous learning, course correction, and the demonstration of tangible value, paving the way for broader adoption and long-term strategic transformation across the enterprise.
Detailing a Rigorous Multi-Phase Research Methodology Underpinning the Analysis of Alternative Data Market Dynamics and Industry Trends
The research methodology underpinning this analysis combines rigorous desk research with extensive primary research to ensure the highest standards of accuracy and relevance. Initially, secondary sources such as industry reports, academic publications, and regulatory filings were reviewed to establish a comprehensive understanding of market trends, technological innovations, and policy frameworks. This phase provided the foundational context necessary for targeted primary engagements.
Subsequently, in-depth interviews were conducted with a diverse group of stakeholders, including executives from data providers, analytics experts, and compliance specialists. These conversations yielded qualitative insights into strategic priorities, operational challenges, and evolving use cases across multiple industries. To validate these findings, a triangulation process was employed, cross-referencing interview data with publicly available case studies and third-party analyses.
Finally, quantitative data points were synthesized through advanced analytical techniques, enabling the identification of thematic patterns and emergent growth drivers. Throughout each phase, stringent quality assurance protocols-including peer reviews and expert validation-ensured that the conclusions drawn reflect both current realities and anticipated trajectories within the alternative data landscape.
Summarizing Key Findings and Strategic Implications to Guide Stakeholders Toward Informed Decisions in the Alternative Data Ecosystem
This executive summary has illuminated the critical role of alternative data in driving strategic agility, competitive differentiation, and operational optimization. By examining the transformative shifts in technology, regulatory landscapes, and global trade policies, we have highlighted the complexities and opportunities that define the current ecosystem. The segmentation analysis provided clarity on how data type, category, deployment model, and end-user industry interplay to create diverse value propositions, while regional insights underscored the importance of localized strategies.
Key company profiles revealed how leading providers leverage innovation, strategic partnerships, and talent development to maintain market leadership. Actionable recommendations have outlined pathways for organizations to enhance governance, foster collaborations, and implement phased adoption approaches that deliver measurable impact. The comprehensive research methodology ensures that these insights rest on a foundation of robust data collection, stakeholder engagement, and analytical rigor.
As the alternative data landscape continues to evolve, stakeholders who embrace these insights and recommendations will be well positioned to navigate emerging challenges and capture new growth opportunities. The collective themes presented here serve as a roadmap for informed decision-making and sustained competitive advantage.
Note: PDF & Excel + Online Access - 1 Year
Harnessing Alternative Data to Drive Strategic Agility, Market Resilience, and Competitive Advantage in a Rapidly Evolving Global Business Environment
In an era defined by rapid technological advancement and increasing data complexity, alternative data has emerged as a critical asset for organizations striving to achieve strategic agility and market resilience. Traditional data sources alone no longer suffice to paint a comprehensive picture of consumer behavior, operational efficiency, or competitive dynamics. As businesses navigate shifting economic landscapes and evolving regulatory frameworks, alternative data stands out as a differentiator that can unlock deeper insights and foster proactive decision-making.
Moreover, the transition toward data-driven cultures demands an understanding of unconventional datasets-ranging from geolocation footprints to social media sentiment-that offer real-time visibility into market trends. By leveraging these rich streams of information, industry leaders can anticipate emerging opportunities, optimize supply chains, and mitigate risks associated with market volatility. Consequently, the strategic adoption of alternative data has become a foundational pillar for enterprises aiming to sustain long-term growth in an increasingly interconnected environment.
As this introduction sets the stage, the following analysis will explore the transformative shifts shaping the alternative data ecosystem, evaluate the impact of policy changes, and provide actionable insights that empower organizations to harness the full potential of these novel information sources.
Uncovering Transformative Shifts Shaping the Alternative Data Landscape and Redefining Analytical Strategies Across Sectors Under Dynamic Market Forces
The alternative data landscape is undergoing profound transformations driven by converging technological innovations and evolving stakeholder expectations. Advancements in artificial intelligence and machine learning have catalyzed the development of sophisticated analytical models capable of extracting nuanced patterns from previously untapped data sources. Simultaneously, the proliferation of Internet of Things devices has exponentially expanded the breadth and frequency of real-time data generation, enabling organizations to monitor operational and consumer behaviors with unprecedented granularity.
In parallel, heightened scrutiny from data privacy regulators has reshaped industry practices, compelling providers to enhance governance frameworks and reinforce ethical data collection protocols. This regulatory impetus has accelerated the adoption of anonymization techniques and consent management platforms, ensuring that data utilization aligns with legal and societal norms. At the same time, the growing demand for on-demand analytics has fueled the rise of cloud-native architectures, which support scalable and flexible deployment models while facilitating collaboration between data producers and consumers.
Together, these transformative shifts are redefining how organizations approach research, risk assessment, and strategic planning. By embracing next-generation analytics, robust governance, and scalable infrastructure, decision-makers can harness alternative data to drive tangible business outcomes and maintain a competitive edge in today’s dynamic business environment.
Assessing the Far-Reaching Cumulative Impact of United States Tariffs Implemented in 2025 on Cross-Border Data Flows and Operational Economics
The introduction of new tariff measures by the United States in 2025 has had reverberating effects across the alternative data ecosystem, influencing both the cost structures and operational strategies of global data providers. Tariffs targeting cloud infrastructure components, data acquisition hardware, and satellite imagery services have led to a reassessment of supply chains and cost pass-through models. As a result, organizations that depend on imported sensors or specialized data-collection devices have encountered elevated procurement expenses, prompting a search for alternative sourcing arrangements.
Furthermore, the increased cost burden has encouraged more enterprises to optimize their data portfolios by prioritizing high-value datasets and strengthening partnerships with domestic data aggregators. This shift has driven innovation in in-house data collection, including the deployment of regionally managed mobile application analytics and locally sourced geolocation records. Additionally, rising import duties have accelerated strategic alliances between domestic technology firms and international satellite service providers, fostering joint ventures that mitigate tariff impacts and preserve access to critical data streams.
Overall, the cumulative influence of these tariff changes has prompted a recalibration of both procurement strategies and collaborative frameworks. By balancing cost management with strategic sourcing diversification, organizations can continue to access essential alternative data while navigating the complexities introduced by new trade policies.
Exploring Core Segmentation Insights to Illuminate Market Dimensions Across Data Type, Category, Deployment Model, and End User Industry
A comprehensive understanding of the alternative data market requires careful consideration of its core segments, each offering distinct insights and strategic value. When examining data type, it becomes evident that credit and debit card transactions provide real-time indicators of consumer spending patterns, while email receipts reveal nuanced behavioral details about purchase journeys. Geo-location records, often referred to as foot traffic data, deliver tangible measures of physical presence, and mobile application usage analytics capture digital engagement metrics in an increasingly app-centric world. Beyond these, satellite and weather data offer macro-environmental perspectives, social and sentiment data reflect public opinion dynamics, and web scraped data aggregates diverse online sources to uncover emergent trends.
Transitioning to the category dimension, understanding the dichotomy between structured and unstructured data is crucial. Structured datasets, characterized by predefined schemas and relational formats, enable straightforward analysis using traditional database tools. In contrast, unstructured datasets-encompassing free-form text, images, and multimedia content-require advanced natural language processing and computer vision techniques to extract meaningful signals. Furthermore, the choice between cloud and on-premise deployment models shapes scalability, security, and integration strategies, with cloud solutions often preferred for their flexibility and rapid provisioning, while on-premise environments continue to attract organizations with stringent compliance requirements.
Lastly, the industry verticals that consume alternative data play a pivotal role in defining use cases and value propositions. Energy and utilities firms leverage weather and satellite information to optimize asset performance, manufacturing enterprises harness real-time sensor and sentiment data for predictive maintenance, retail and e-commerce players utilize transaction and geolocation insights to refine customer experiences, and transportation and logistics providers integrate mobile application and traffic flow information to enhance route planning. Recognizing these segmentation nuances enables stakeholders to tailor their strategies and unlock the full potential of alternative data across diverse operational contexts.
Deciphering Key Regional Insights Across the Americas, Europe Middle East & Africa, and Asia Pacific to Inform Geostrategic Decision-Making
Regional nuances play a critical role in shaping the alternative data ecosystem, as each geographic area exhibits unique regulatory landscapes, technological infrastructures, and end-user demands. In the Americas, well-established financial markets and mature e-commerce sectors drive robust demand for credit and debit card transaction analytics, while innovative startups are actively exploring social and sentiment data to enhance marketing strategies. Simultaneously, growing investments in cloud infrastructure across North and South America are facilitating broader adoption of real-time analytics platforms.
Across Europe, the Middle East, and Africa, data privacy regulations such as the General Data Protection Regulation have established stringent standards for consent and data sovereignty, prompting providers to develop localized solutions that comply with regional requirements. This environment has catalyzed the growth of on-premise implementations among industries with critical security considerations, while also fostering collaborative frameworks that enable cross-border data sharing under harmonized governance protocols.
In the Asia-Pacific region, rapid digital transformation and expanding urbanization have fueled the proliferation of mobile application usage and geo-location analytics. Governments and corporate entities alike are investing heavily in smart city initiatives and satellite monitoring capabilities to manage infrastructure and environmental sustainability. By understanding these distinct regional factors, stakeholders can strategically allocate resources, forge relevant partnerships, and adapt their product offerings to resonate with local market dynamics.
Illuminating Strategic Dynamics Through In-Depth Analysis of Leading Alternative Data Providers Driving Innovation and Value Creation
Leading companies in the alternative data space are driving innovation through strategic investments in technology, partnerships, and talent acquisition. Several frontrunners have established proprietary data collection infrastructures that integrate advanced sensors and machine learning pipelines, enabling them to deliver high-frequency insights across multiple verticals. Others have forged alliances with cloud service providers to leverage scalable computing resources and ensure seamless data processing.
Additionally, some organizations have distinguished themselves by developing specialized platforms that democratize access to alternative data, offering self-service tools for analytics and visualization. These platforms often feature intuitive user interfaces and API integrations, empowering clients to incorporate diverse datasets into their existing workflows. Moreover, a number of companies have pursued targeted acquisitions to expand their data portfolios, integrating satellite imagery firms or sentiment analysis startups to broaden their value proposition.
Talent strategies also set leading firms apart, as they cultivate multidisciplinary teams composed of data scientists, domain experts, and regulatory specialists. This holistic approach ensures that data solutions are not only technically robust but also aligned with evolving compliance requirements and industry standards. Collectively, these strategic moves underscore the pivotal role that innovation and collaboration play in shaping the competitive landscape of the alternative data sector.
Formulating Actionable Recommendations to Empower Industry Leaders in Leveraging Alternative Data for Sustainable Growth and Competitive Differentiation
To capitalize on the opportunities presented by alternative data, industry leaders should invest in establishing robust governance frameworks that ensure data quality, privacy compliance, and ethical usage. By developing clear policies for data sourcing, anonymization, and consent management, organizations can mitigate regulatory risks while fostering trust among stakeholders. Concurrently, integrating state-of-the-art machine learning models and real-time analytics platforms will enable more accurate insights and faster response times to market developments.
Furthermore, forging strategic partnerships with specialized data providers and technology vendors can accelerate innovation and reduce time to market. Collaborative ecosystems, where proprietary datasets are combined with external expertise, unlock new use cases and enhance the depth of analytical outputs. Equally important is the cultivation of in-house talent through targeted training programs in data science, cloud architecture, and privacy law, ensuring that teams possess the skills needed to navigate complex data environments.
Lastly, organizations should adopt a phased approach to deploying alternative data initiatives, beginning with pilot projects that address high-impact business questions. This iterative methodology allows for continuous learning, course correction, and the demonstration of tangible value, paving the way for broader adoption and long-term strategic transformation across the enterprise.
Detailing a Rigorous Multi-Phase Research Methodology Underpinning the Analysis of Alternative Data Market Dynamics and Industry Trends
The research methodology underpinning this analysis combines rigorous desk research with extensive primary research to ensure the highest standards of accuracy and relevance. Initially, secondary sources such as industry reports, academic publications, and regulatory filings were reviewed to establish a comprehensive understanding of market trends, technological innovations, and policy frameworks. This phase provided the foundational context necessary for targeted primary engagements.
Subsequently, in-depth interviews were conducted with a diverse group of stakeholders, including executives from data providers, analytics experts, and compliance specialists. These conversations yielded qualitative insights into strategic priorities, operational challenges, and evolving use cases across multiple industries. To validate these findings, a triangulation process was employed, cross-referencing interview data with publicly available case studies and third-party analyses.
Finally, quantitative data points were synthesized through advanced analytical techniques, enabling the identification of thematic patterns and emergent growth drivers. Throughout each phase, stringent quality assurance protocols-including peer reviews and expert validation-ensured that the conclusions drawn reflect both current realities and anticipated trajectories within the alternative data landscape.
Summarizing Key Findings and Strategic Implications to Guide Stakeholders Toward Informed Decisions in the Alternative Data Ecosystem
This executive summary has illuminated the critical role of alternative data in driving strategic agility, competitive differentiation, and operational optimization. By examining the transformative shifts in technology, regulatory landscapes, and global trade policies, we have highlighted the complexities and opportunities that define the current ecosystem. The segmentation analysis provided clarity on how data type, category, deployment model, and end-user industry interplay to create diverse value propositions, while regional insights underscored the importance of localized strategies.
Key company profiles revealed how leading providers leverage innovation, strategic partnerships, and talent development to maintain market leadership. Actionable recommendations have outlined pathways for organizations to enhance governance, foster collaborations, and implement phased adoption approaches that deliver measurable impact. The comprehensive research methodology ensures that these insights rest on a foundation of robust data collection, stakeholder engagement, and analytical rigor.
As the alternative data landscape continues to evolve, stakeholders who embrace these insights and recommendations will be well positioned to navigate emerging challenges and capture new growth opportunities. The collective themes presented here serve as a roadmap for informed decision-making and sustained competitive advantage.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
184 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Innovations in consumer behavior tracking through alternative data in retail sectors
- 5.2. Expansion of alternative data sources from IoT devices and smart sensors
- 5.3. Integration of artificial intelligence transforming alternative data analysis for better insights
- 5.4. Impact of alternative data on predictive analytics in financial markets
- 5.5. Challenges and solutions in cleaning and standardizing large alternative data volumes
- 5.6. Increasing impact of blockchain in ensuring transparency and security of alternative data sets
- 5.7. Advancements in satellite imagery technology enhancing alternative data capabilities
- 5.8. Rise of real-time social media sentiment analysis in alternative data applications
- 5.9. Emerging privacy regulations impacting the collection and use of alternative data globally
- 5.10. Growing influence of ESG data in alternative data-driven investment decisions
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Alternative Data Market, by Data Type
- 8.1. Credit & Debit Card Transactions
- 8.2. Email Receipts
- 8.3. Geo-location (Foot Traffic) Records
- 8.4. Mobile Application Usage
- 8.5. Satellite & Weather Data
- 8.6. Social & Sentiment Data
- 8.7. Web Scraped Data
- 9. Alternative Data Market, by Category
- 9.1. Structured
- 9.2. Unstructured
- 10. Alternative Data Market, by Deployment Model
- 10.1. Cloud
- 10.2. On Premise
- 11. Alternative Data Market, by End User Industry
- 11.1. Energy & Utilities
- 11.2. Manufacturing
- 11.3. Retail & E-commerce
- 11.4. Transportation & Logistics
- 12. Alternative Data Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. Alternative Data Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Alternative Data Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. Competitive Landscape
- 15.1. Market Share Analysis, 2024
- 15.2. FPNV Positioning Matrix, 2024
- 15.3. Competitive Analysis
- 15.3.1. 1010data, Inc. by SymphonyAI Inc.
- 15.3.2. Advan Research Corporation
- 15.3.3. Affinity Solutions, Inc.
- 15.3.4. AlphaSense, Inc.
- 15.3.5. BattleFin Group, LLC
- 15.3.6. Bloomberg Finance L.P.
- 15.3.7. Consumer Edge Holdings, LLC
- 15.3.8. Dataminr, Inc.
- 15.3.9. Eagle Alpha Limited
- 15.3.10. Exabel AS
- 15.3.11. ExtractAlpha Ltd.
- 15.3.12. Facteus, Inc.
- 15.3.13. Geotab Inc.
- 15.3.14. InfoTrie Group
- 15.3.15. Institutional Capital Network, Inc.
- 15.3.16. M Science Holdings LLC
- 15.3.17. Nasdaq, Inc.
- 15.3.18. Preqin Holding Limited
- 15.3.19. RavenPack International S.L.U.
- 15.3.20. S&P Global Inc.
- 15.3.21. THE EARNEST ANALYTICS COMPANY, INC
- 15.3.22. Thinknum, Inc.
- 15.3.23. UBS Evidence Lab
- 15.3.24. Yipit, LLC
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