Xverum’s Alternative Data delivers a unique lens into the evolving landscape of global businesses - offering non-traditional insights built from social media signals and public web profiles. With over 750M enriched professional profiles and 50M verified companies, this dataset empowers investors, hedge funds, and analysts to identify hidden trends, benchmark headcount dynamics, and make smarter portfolio decisions.

Our data bridges the gap between surface-level company metrics and internal workforce dynamics - ideal for those seeking high-signal, low-noise intelligence.

🔍 Key Features: ✅ Social Media–Derived Insights: Profiles collected and enriched from open social platforms and web sources. ✅ Workforce Trend Monitoring: Track hiring surges, downsizing, department shifts, and growth by role or region. ✅ Educational Intelligence: Understand degree types, universities, and certifications across a company’s talent base. ✅ 50M Company Profiles: Enriched with org size, industry, location, and growth signals. ✅ Dynamic Dataset: Monthly refresh with 350M+ updates per month to ensure timeliness. ✅ Fully GDPR/CCPA-Compliant: Ethically sourced and privacy-secure.

Primary Use Cases: 💠 VC & Hedge Fund Due Diligence Spot early-stage momentum and pre-IPO growth by tracking hiring trends, talent density, and team structure shifts.

💠 Investment Signal Generation Discover investment opportunities based on headcount expansion, leadership changes, and team expertise indicators.

💠 Corporate Intelligence & Benchmarking Compare peer companies by workforce size, education level, technical background, and hiring speed.

💠 Talent Strategy & Workforce Analytics Analyze top roles, degrees, and backgrounds across competitive organizations.

Why Xverum’s Alternative Data? ✅ 750M Verified Professional Profiles ✅ 50M Company Datasets with rich firmographics ✅ Unique social-driven signals for workforce tracking ✅ Investor-grade alternative intelligence ✅ Bulk delivery in .json or .csv formats ✅ S3 Bucket, Email, Cloud Services - fully flexible delivery

Request a free sample today and discover how our social media–powered alternative data can enhance your investment strategies, VC scouting, and workforce due diligence.

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal EUR includes consumer transaction data on 6.7M+ credit cards, debit cards, direct debit accounts, and direct transfer accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 5K+ merchants, 3K+ brands mapped to 600 global parent companies (500 publicly traded), and deep geographic breakouts with demographic breakouts coming soon for UK. Brick & mortar , and ecommerce direct-to-consumer sales are recorded on transaction date and purchase data is available for most companies as early as 5 days post-swipe.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

Public and private investors can leverage insights from CE’s synthetic data to assess consensus estimates and investment opportunities, while consumer marketing and retailers can gain visibility into transaction data’s potential for competitive analysis, shopper behavior, and consumer insights.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details

The Alternative Data Vendor market is experiencing robust growth, driven by the increasing demand for non-traditional data sources to enhance investment strategies and business decision-making. The market's expansion is fueled by the proliferation of digital data, advancements in data analytics, and a growing need for more comprehensive and nuanced insights across various sectors. The BFSI (Banking, Financial Services, and Insurance) sector remains a significant driver, leveraging alternative data for credit scoring, fraud detection, and risk management. However, growth is also witnessed in industrial, IT and telecommunications, and retail and logistics sectors as businesses seek competitive advantages through data-driven decision-making. The diverse types of alternative data, including credit card transactions, web data, sentiment analysis, and public data, cater to a wide range of applications. While data privacy and regulatory concerns pose challenges, the market is overcoming these hurdles through robust data anonymization and compliance strategies. The competitive landscape features both established players like S&P Global and Bloomberg, along with emerging technology-driven companies, fostering innovation and market expansion. We project a steady compound annual growth rate (CAGR) resulting in a substantial market expansion over the next decade. This growth is expected to be distributed across regions, with North America and Europe maintaining leading positions due to early adoption and developed data infrastructure. The forecast period from 2025 to 2033 anticipates continued market expansion, propelled by factors such as increasing data availability from IoT devices, refined analytical techniques, and expanding applications across new sectors. The market's segmentation by application and data type is expected to further evolve, with niche players focusing on specific data sets and industries. This specialized approach allows for deeper insights and catering to specific client needs. Geographic expansion will continue, with growth in Asia-Pacific particularly driven by the increasing adoption of digital technologies and expanding economic activity. Strategic partnerships and mergers and acquisitions will likely shape the competitive landscape, fostering consolidation and further innovation in alternative data solutions. Despite challenges related to data quality, security, and ethical considerations, the overall outlook for the Alternative Data Vendor market remains highly positive, with substantial growth opportunities over the long term.

The Alternative Data Solutions market is experiencing robust growth, projected to reach $1557.8 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 9.2% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing availability and affordability of alternative data sources, such as credit card transactions, email receipts, and web traffic, empower businesses to gain deeper insights into consumer behavior and market trends. Furthermore, the rising adoption of advanced analytics and machine learning techniques allows for more sophisticated data processing and interpretation, leading to improved decision-making across various sectors. The BFSI (Banking, Financial Services, and Insurance) sector is a major adopter, leveraging alternative data for credit scoring, fraud detection, and risk management. The IT & Telecommunications and Retail & Logistics sectors also show significant uptake, using these solutions for customer segmentation, supply chain optimization, and targeted marketing campaigns. However, challenges such as data privacy concerns, data quality issues, and the need for specialized expertise to effectively utilize alternative data sources act as potential restraints on market growth. The market is segmented geographically, with North America currently holding a dominant market share due to early adoption and well-established technological infrastructure. However, growth in the Asia-Pacific region is expected to accelerate as businesses in emerging economies increasingly recognize the value of alternative data analysis. The competitive landscape is characterized by a mix of established players and emerging startups. Established data providers offer extensive data sets and robust analytical tools, while smaller companies specialize in niche areas or offer innovative data solutions. The ongoing innovation in data acquisition technologies and analytical methods is expected to further propel market expansion. Over the forecast period (2025-2033), the market will witness further consolidation, with larger players potentially acquiring smaller firms to expand their data offerings and market reach. The ongoing demand for enhanced risk management, improved customer understanding, and data-driven decision-making across various sectors points towards a consistently positive outlook for the alternative data solutions market. This trend is likely to be reinforced by continuing technological advancements and the growing availability of alternative data sources.

The Alternative Data Provider market, currently valued at $1.252 billion (2025), is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 9% from 2025 to 2033. This expansion is driven by several key factors. Firstly, the increasing demand for more granular and timely insights across various sectors – BFSI (Banking, Financial Services, and Insurance), industrial, IT and telecommunications, retail and logistics – fuels the adoption of alternative data sources beyond traditional financial data. Secondly, the sophistication of analytical techniques and AI/ML-powered solutions allows for more effective processing and interpretation of diverse data types, including credit card transactions, web data, sentiment analysis, and public records. This enables businesses to make more informed, data-driven decisions. Finally, the emergence of specialized providers catering to niche needs within these sectors has created a competitive yet innovative marketplace. While regulatory hurdles and data privacy concerns pose challenges, the overall market trajectory remains positive, indicating strong potential for future growth and investment. The market segmentation reveals a diverse landscape. Application-wise, BFSI currently holds a significant share due to the sector's reliance on real-time insights for risk management and investment strategies. However, the IT and telecommunications and Retail and Logistics sectors are exhibiting strong growth potential, driving demand for alternative data solutions to improve operational efficiency and customer understanding. Regarding data types, credit card transactions and web data are currently dominant, but sentiment and public data are gaining traction due to their ability to provide nuanced understanding of market trends and consumer behavior. Leading companies such as Preqin, Dataminr, and others are constantly innovating their offerings, focusing on the development of advanced analytics and data integration capabilities to capture a larger market share in this dynamic space. Geographical expansion, particularly in the Asia-Pacific region driven by increasing digital adoption and economic growth, presents significant opportunities for future market expansion.

China Retail Investor Sentiment Analytics provides sentiment analytics of Chinese retail investors based on 2 stock forums, Guba (GACRIS dataset) and Xueqiu (XACRIS dataset), the most popular stock forums in China from 2007.

By utilizing in-house NLP models which are dedicatedly optimized for Chinese stock forum posts and trained on a proprietary manually labeled and cross-checked training data, the dataset provides accurate text analytics of post content, including but not limited to quality, sentiment, and relevant stocks with relevance score. In addition to the aggregated statistics of stock sentiment and popularity, the dataset also provides rich and fine-grained information for each user/post in record level. For example, it reports the registration time, number of followers for each user, and also the replies/readings and province being published for each post. Moreover, these meta data are processed in point-in-Time (PIT) manner since 2019.

The dataset could help clients easily capture the sentiment and popularity among millions of Chinese retail investors. On the other hand, it also offers flexibility for clients to customize novel analytics, such as studying the sentiment (conformity/divergence) of users of different level of influence or posts of different hotness, or simply filtering the posts published by users which are too active/positive/negative in a time window when aggregating the statistics.

Coverage: All A-share and Hong Kong stocks, 300+ popular US stocks Update Frequency: Daily or intra-day

The Alternative Data Vendor market is experiencing robust growth, driven by increasing demand for non-traditional data sources across diverse sectors. The market's expansion is fueled by the need for more granular and timely insights than traditional data sources can provide. Financial institutions (BFSI), in particular, are heavily investing in alternative data to enhance risk assessment, improve fraud detection, and gain a competitive edge in investment strategies. The adoption of alternative data is also accelerating in the industrial, IT & telecommunications, and retail & logistics sectors, where it's utilized for optimizing supply chains, improving customer targeting, and enhancing operational efficiency. The various types of alternative data, including credit card transactions, web data, and sentiment analysis, cater to specific business needs, contributing to the market's segmentation. While challenges such as data privacy concerns and the need for sophisticated data processing capabilities exist, the overall market trajectory remains positive. We estimate the 2025 market size to be $8 billion, growing at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is projected to be driven by increasing data availability, advancements in data analytics, and a growing awareness among businesses of the value of alternative data insights. The North American region currently holds the largest market share due to early adoption and the presence of key players, but the Asia-Pacific region is projected to witness significant growth in the coming years. This growth is fueled by increasing digitization and the rising adoption of advanced analytics within various industry sectors. The competitive landscape is characterized by a mix of established players and emerging startups. Established firms like S&P Global and Bloomberg offer comprehensive data solutions alongside their traditional offerings, while newer companies like Dataminr and Preqin specialize in providing niche alternative data sets. This competitive environment fosters innovation and drives the development of new data sources and analytics capabilities. The ongoing consolidation and partnerships within the industry suggest a trend towards integrated platforms that combine different types of alternative data, allowing businesses to access more holistic and comprehensive insights. Continued investment in AI and machine learning technologies will further enhance the capabilities of alternative data vendors, enabling the extraction of more meaningful insights from complex datasets. The continued focus on data security and compliance will also shape the market's development, leading to the implementation of more robust data governance frameworks.

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Baidu Search Index is a big data analytics tool developed by Baidu, the most popular search engine in China, to reflect changes in search popularity for specific keywords.

Based on an ecosystem partnership with Baidu Search Index, Datago has direct access to keyword search index data from Baidu Index’s database. BSIA-Investor selects A-share stock codes in different formats as keywords, aggregates the corresponding Baidu Index data, and provides insights into the online search interest of Chinese investors for over 5,000 A-share stocks. This data helps investors better understand the market sentiment of millions of Chinese investors toward A-shares, including:

• Investor Interest Measurement: A direct reflection of how Chinese investors’ interest in the A-share market fluctuates.

• Cross-Comparison of Listed Companies: Search index data offers strong comparability, enabling users to assess differences in market attention among various listed companies and identify high-interest stocks.

• Trend Tracking & Market Insights: By monitoring changes in the search popularity of individual stocks, investors can capture market hotspots, gain timely insights into potential investment opportunities, and leverage data for informed decision-making.

• Coverage: 5000+ A-share stocks

• History: 2016-01-01

• Frequency: Daily

This horizontal bar chart displays companies by alternate websites using the aggregation count in Japan. The data is about companies.

Ditch the high costs and complex pricing of traditional providers like ZoomInfo. RevenueBase is your ideal alternative, offering a robust B2B database packed with accurate and verified B2B contact data on over 15 million companies and 150 million business professionals.

With RevenueBase, you get access to crucial data points like job titles, company size, revenue, industries, and geographic location—everything you need for precise targeting in your B2B marketing, sales, and outreach efforts. Our data is meticulously sourced from trusted platforms like LinkedIn and corporate websites, ensuring it’s always fresh and reliable.

RevenueBase is the ultimate ZoomInfo alternative with simple, flat-rate pricing. No more hidden fees—just unlimited access to the entire dataset, allowing you to scale your lead generation and sales efforts without worrying about rising costs.

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Automatic Data Processing's competitors include and more. Discover more competitors and create your own custom side-by-side comparison on Bullfincher.

Convert websites into useful data Fully managed enterprise-grade web scraping service Many of the world's largest companies trust ScrapeHero to transform billions of web pages into actionable data. Our Data as a Service provides high-quality structured data to improve business outcomes and enable intelligent decision making

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Large Scale Web Crawling for Price and Product Monitoring - eCommerce, Grocery, Home improvement, Shipping, Inventory, Realtime, Advertising, Sponsored Content - ANYTHING you see on ANY website.

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Alternative Finance Market Size 2024-2028

The alternative finance market size is estimated to increase by USD 64.3 billion at a CAGR of 7.44% between 2023 and 2028. The key factor driving the market forward is the potential for higher returns for investors. Alternative finance channels offer significantly greater returns compared to traditional investment options like fixed deposits (FDs) or government bonds from conventional financial institutions. Another important contributor to market growth is the rapid expansion in the APAC region and the increasing focus on structured finance. Alternative finance platforms, such as P2P lending, crowdfunding, and invoice trading, are gaining traction in APAC, driven by the presence of numerous small and medium-sized enterprises (SMEs).

What will be the Size of the Alternative Finance Market During the Forecast Period?

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Alternative Finance Market Segmentation

The alternative finance market research report provides comprehensive data (region wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.

Type Outlook 

  P2P lending
  Crowdfunding
  Invoice trading





End-User Outlook

  Individual
  Organization





Region Outlook

  North America

    The U.S.
    Canada





  Europe

    The U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India


  South America

    Chile
    Argentina
    Brazil





  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa

By Type

The alternative financing market share growth in the segment of P2P lending will be significant during the forecast period. The P2P consumer lending sub-segment holds a major share of the P2P lending segment due to the growth in the number of online consumer lending platforms and the increasing use of technology in financial transactions. Some popular P2P lending platforms include LendingClub, Zopa, Bondora Capital, Prosper Marketplace, and Upstart Network. However, P2P lending is associated with a high risk of defaults as the loans are unsecured. Therefore, large investors usually maintain a spread portfolio of their investments. P2P lending is also associated with challenges such as platform failures, the risk of fraud, hacking, and data theft. These factors are expected to augment the demand of the P2P lending segment hence driving the growth of the market in focus during the forecast period.

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The P2P lending segment was valued at USD 123.70 billion in 2018. In this segment, P2P lending is similar to credit obtained from financial institutions. However, the funds are raised from one or more independent investors. P2P borrowers must make weekly or monthly repayments of the principal amount with interest. P2P lending is usually carried out through online platforms. Investors directly select businesses to fund, or the lending platforms provide the terms of credit. Some variations in the model allow investors to bid on loan amounts and interest rates through an online auction. P2P lending is popular among individual borrowers and SMEs, as small to medium-scale loans can be obtained easily. Several individuals opt for P2P loans for debt consolidation, which allows them to pay debts accrued from credit cards or loans from financial institutions.

By Region

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North America is estimated to contribute 70% to the global alternative financing market during the forecast period. Technavio's analysts have elaborately explained the regional market growth and trends that shape the market during the forecast period. The growth of P2P lending and crowdfunding has increased significantly in North America. The increasing number of students, growing awareness about clearing personal debt, rising Internet penetration, technological advances, the rise of online trading platforms and finance platforms, and the presence of prominent companies are the major factors driving the market in North America. The number of SMEs has grown significantly in North America. Therefore, a growing number of SMEs in this region are boosting the growth in North America.

Alternative Finance Market Dynamics

The market is reshaping the landscape traditionally dominated by conventional big banks and regulated banks. Instead of relying solely on traditional finance systems, entrepreneurs and investors are increasingly turning to alternative lenders and innovative financial services solutions. Online lenders offer streamlined access to capital, while reward-based crowdfunding and equity-based crowdfunding present opp

Data Enrichment Tool Market Outlook

The global data enrichment tool market size was valued at approximately USD 1.5 billion in 2023, and it is projected to reach around USD 5.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.3% during the forecast period. This substantial growth is driven by the increasing demand for accurate, comprehensive, and quality data to support business intelligence and analytics in various sectors.

Several factors contribute to the robust growth of the data enrichment tool market. One of the primary drivers is the proliferation of big data across industries. Organizations are constantly collecting vast amounts of data from various sources, and the need to refine this raw data into actionable insights has never been greater. Data enrichment tools play a crucial role in this transformation by enhancing and improving the quality of data, thereby enabling businesses to make informed decisions. The evolution of machine learning and artificial intelligence technologies has further augmented the capabilities of data enrichment tools, making them indispensable in the modern data-driven landscape.

Another significant growth factor is the increasing adoption of customer-centric business models. Enterprises are focusing on understanding their customers better to provide personalized experiences, and enriched data is key to achieving this goal. By integrating various data points and ensuring their accuracy and relevance, data enrichment tools help in building comprehensive customer profiles. This, in turn, leads to more effective marketing strategies, enhanced customer satisfaction, and improved retention rates. Additionally, the rise of e-commerce and digital platforms has necessitated the need for enriched data to gain a competitive edge in the market.

The regulatory landscape surrounding data privacy and security is also a pivotal factor influencing the growth of the data enrichment tool market. With stringent regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations are under immense pressure to maintain high standards of data accuracy and compliance. Data enrichment tools assist in ensuring that the data used by companies is not only accurate but also compliant with these regulations. This aspect is particularly crucial for sectors such as BFSI and healthcare, where data integrity and privacy are paramount.

In the rapidly evolving landscape of data enrichment, the role of an Alternative Data Provider has become increasingly significant. These providers offer unique datasets that are not traditionally available through conventional data sources. By leveraging alternative data, organizations can gain a competitive edge by uncovering hidden patterns and insights that might otherwise go unnoticed. This data can include information from social media, satellite imagery, web traffic, and more, providing a more comprehensive view of market trends and consumer behavior. The integration of alternative data into enrichment tools allows businesses to enhance their analytical capabilities, leading to more informed decision-making and strategic planning. As the demand for diverse and high-quality data continues to grow, the influence of Alternative Data Providers is expected to expand, offering new opportunities for innovation and growth in the data enrichment tool market.

From a regional perspective, North America holds the largest share of the data enrichment tool market. The presence of major technology players and the high adoption rate of advanced analytics solutions in this region significantly contribute to its dominance. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. The rapid digital transformation, increasing internet penetration, and the burgeoning e-commerce industry in countries like China and India are key factors driving the market in this region. Europe and Latin America also present substantial growth opportunities due to the increasing focus on data-driven decision-making processes across industries.

Component Analysis

The data enrichment tool market is segmented by components into software and services. The software component dominates the market due to the increasing adoption of sophisticated data enrichment platforms that offer advanced features like machine learning integration, real-time data processing, and extensive data analytics capabilities. These software s

The global Big Data Analytics in Retail market is experiencing robust growth, projected to reach $6.38 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 21.20% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing volume of consumer data generated through e-commerce, loyalty programs, and in-store sensors provides retailers with unprecedented opportunities for personalized marketing, optimized supply chains, and improved customer service. Advanced analytics techniques, such as predictive modeling and machine learning, enable retailers to anticipate demand, personalize offers, and enhance operational efficiency, leading to significant cost savings and revenue growth. Furthermore, the adoption of cloud-based analytics solutions is simplifying data management and analysis, making big data solutions accessible to businesses of all sizes. The market segmentation reveals strong growth across all application areas (Merchandising & Supply Chain Analytics, Social Media Analytics, Customer Analytics, and Operational Intelligence), with large-scale organizations currently leading the adoption, though SMEs are rapidly catching up. The competitive landscape is dynamic, featuring both established technology giants (IBM, Oracle, SAP) and specialized analytics providers (Qlik, Alteryx, Tableau). Continued growth in the Big Data Analytics in Retail market is anticipated due to factors such as the increasing sophistication of analytical techniques, the rise of omnichannel retailing, and the growing importance of data-driven decision-making. The integration of artificial intelligence (AI) and Internet of Things (IoT) data into existing analytics platforms will further fuel market expansion. While data security and privacy concerns represent a potential restraint, the ongoing development of robust security protocols and compliance frameworks will mitigate these risks. Geographic growth will be diverse, with North America and Europe expected to maintain a significant market share due to early adoption and technological advancement, however, the Asia-Pacific region is poised for substantial growth driven by rapid e-commerce expansion and increasing digitalization across various retail segments. This overall positive outlook suggests the Big Data Analytics in Retail market is well-positioned for continued and substantial growth throughout the forecast period. This report provides a comprehensive analysis of the Big Data Analytics in Retail Market, projecting robust growth from $XXX Million in 2025 to $YYY Million by 2033. It leverages data from the historical period (2019-2024), base year (2025), and forecast period (2025-2033) to offer invaluable insights for stakeholders. The study covers key players such as Qlik Technologies Inc, IBM Corporation, Fuzzy Logix LLC, Retail Next Inc, Adobe Systems Incorporated, Hitachi Vantara Corporation, Microstrategy Inc, Zoho Corporation, Alteryx Inc, Oracle Corporation, Salesforce com Inc (Tableau Software Inc), and SAP SE, among others. Recent developments include: September 2022 - Coresight Research, a global provider of research, data, events, and advisory services for consumer-facing retail technology and real estate companies and investors, acquired Alternative Data Analytics, a leading data strategy, and insights firm. This acquisition will significantly increase data capabilities and further extend expertise in data-driven research., August 2022 - Global Measurement and Data Analytics company Nielsen and Microsoft launched a new enterprise data solution to accelerate innovation in retail using Artificial Intelligence data analytics to create scalable, high-performance data environments.. Key drivers for this market are: Increased Emphasis on Predictive Analytics, Merchandising and Supply Chain Analytics Segment Expected to Hold Significant Share. Potential restraints include: Complexities in Collecting and Collating the Data From Disparate Systems. Notable trends are: Merchandising and Supply Chain Analytics Segment Expected to Hold Significant Share.

RISA-India is built upon an in-depth analysis of posting on MoneyControl, India’s most popular stock forum, providing comprehensive data insights into retail investor sentiment and interests in the Indian stock market.

RISA-India covers over 17 million posts made by more than 600,000 users on the platform since 2018. Utilizing advanced AI-driven sentiment analysis technology, it offers insights into the sentiment and popularity of more than 6,000 Indian stocks. The sentiment analysis model has been specifically optimized for Indian English, ensuring precise evaluations. It is capable of processing special emojis and slang, guaranteeing accurate sentiment classification and popularity assessment while comprehensively capturing investor opinions and attitudes toward individual stocks.

Additionally, RISA-India provides key user attributes, including registration time, rankings, follower counts, as well as post interaction data, such as the number of replies and likes, enabling clients to identify core user groups and high-impact discussions.

Furthermore, it provides detailed information like record-level post analytics or user analytics to support the customization of research metrics based on specific analytical needs, such as filtering high-impact users' posting behavior or focusing on trending discussions.

• Coverage: 8000+ Indian tickers across 2 stock exchanges (6000+ unique ISIN) • History: From 2018-01-01 • Update Frequency: Daily