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As per our latest research, the global Alternative Data Analytics for Trading AI market size reached USD 4.7 billion in 2024, reflecting robust adoption across financial institutions and trading firms. The market is projected to grow at a CAGR of 23.5% during the forecast period, reaching a remarkable USD 37.6 billion by 2033. This exceptional growth is driven by the increasing demand for actionable insights from unconventional data sources, the rapid evolution of AI-based trading strategies, and the intensifying need for competitive differentiation in global capital markets.
A primary growth factor fueling the expansion of the Alternative Data Analytics for Trading AI market is the ongoing digital transformation within the financial services industry. As traditional data sources become saturated and less effective at generating alpha, investment managers and traders are turning to alternative data—such as satellite imagery, social media sentiment, and transactional records—to gain unique market perspectives. The integration of AI and machine learning technologies with these diverse data streams enables the extraction of predictive signals and actionable intelligence, which significantly enhances trading performance and portfolio optimization. This trend is further accelerated by the proliferation of big data platforms and advanced analytics tools, making it feasible for firms of all sizes to process, analyze, and derive value from massive, unstructured datasets in real time.
Another significant driver is the evolving regulatory landscape and the increasing emphasis on transparency and risk management in global financial markets. Regulatory bodies are encouraging the adoption of sophisticated analytics to ensure compliance, detect anomalies, and mitigate systemic risks. Alternative data analytics platforms, powered by AI, not only facilitate better risk assessment but also help in identifying fraudulent activities, market manipulation, and emerging market trends. This regulatory impetus, coupled with the growing sophistication of AI models, is compelling both buy-side and sell-side institutions to invest in alternative data solutions, thereby propelling market growth.
Additionally, the democratization of alternative data is expanding the market's reach beyond institutional investors to include retail traders and smaller asset managers. Cloud-based deployment models, open-source analytics frameworks, and API-driven data marketplaces are making alternative data more accessible and affordable. As a result, there is a notable surge in demand from retail investors and fintech startups seeking to leverage AI-powered trading signals derived from non-traditional data sources. This broadening end-user base is expected to sustain the market's momentum over the next decade, as more participants seek to capitalize on the informational edge provided by alternative data analytics.
From a regional perspective, North America commands the largest share of the Alternative Data Analytics for Trading AI market, owing to its advanced financial ecosystem, high concentration of hedge funds and asset managers, and early adoption of AI technologies. Europe follows closely, driven by stringent regulatory requirements and the growing presence of fintech innovation hubs. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid digitalization, expanding capital markets, and increasing investments in AI infrastructure. Latin America and the Middle East & Africa, while currently representing smaller shares, are expected to witness accelerated growth as local financial institutions embrace alternative data analytics to enhance trading efficiency and market competitiveness.
The Data Type segment is a cornerstone of the Alternative Data Analytics for Trading AI market, encompassing a diverse array of sources such as Social Media Data, Satellite Data, Web Scraping Data, Financial Transaction Data, Sensor Data, and Others.
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TwitterNon-traditional data signals from social media and employment platforms for API stock analysis
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Twitter➡️ Choose from multiple data formats, delivery frequency options, and delivery methods
➡️ Select raw or clean and AI-enriched datasets
➡️ Use multiple APIs designed for effortless search and enrichment (accessible using a user-friendly self-service tool)
➡️ Receive fresh data daily and quickly change tracking with dedicated data fields
➡️ Get all necessary resources for evaluating our data: a free consultation, a data sample, or free credits for testing our APIs
Coresignal's Employee, Company, and Job Postings Data allows you to create innovative, data-driven solutions and extract actionable business insights. These datasets are popular among companies from different industries, including investment, sales, and HR technology.
✅ For investors
Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal's global Employee Data and Company Data.
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✅ For HR tech
Coresignal's Alternative Data, including Employee Data, Job Postings Data, and Company Data, enable you to build and improve AI-based talent-sourcing and other HR technology solutions.
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✅ For sales tech
Companies use our large-scale datasets to improve their lead generation engines and power sales technology platforms.
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➡️ Why 400+ data-powered businesses choose Coresignal:
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TwitterNon-traditional data signals from social media and employment platforms for APG stock analysis
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TwitterPowerMap can infer the subject of trading volume in real-time. This information allows users to predict the order flow by investor type of institutional, foreign, and retail traders. By implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, PowerMap processes and delivers large-scale transactions in real time for the Korean market. Processing high volumes of stock transactions instantly requires robust data processing capabilities. PowerMap receives direct trade data from KRX and analyzes buy and sell signals for approximately 1,000 stocks in real time, covering KOSPI stocks with a market cap over 200 billion KRW ($133.38 million) and KOSDAQ stocks over 150 billion KRW ($103.81 million).
Key Features: 💠 Real-time investor type classification (institutional, and foreign institutional) 💠 Low-latency data ingestion 💠 Coverage of over 1,200 liquid KOSPI and KOSDAQ stocks 💠 Instantaneous detection of large-block trades and directional flow 💠 Scalable architecture for high-volume transaction analysis
Primary Use Cases: 🔹 Institutional and proprietary traders monitoring market sentiment shifts 🔹 Quant desks identifying real-time trade triggers and flow-based signals 🔹 Algo developers incorporating investor-type flow into trading strategies 🔹 Broker-dealers and research teams analyzing intraday market dynamics 🔹 Portfolio managers assessing liquidity and participation trends
Contact us for a real time order flow data in different markets. Stay ahead with TradePulse's order flow insights.
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TwitterThis API provides international data on alternative energy such as biodiesel production and consumption. Data organized by country. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
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Market Analysis of Flight Data API The global Flight Data API market is expanding rapidly, with an estimated market size of USD XXX million in 2025 and a projected CAGR of XX% during the forecast period of 2025-2033. The increasing demand for real-time flight information by airlines, travel agencies, and businesses is driving the market growth. Additionally, the rising adoption of cloud-based solutions, advancements in data analytics, and the proliferation of mobile devices are contributing to the market's expansion. Key market trends include the integration of Flight Data APIs with travel booking platforms, the development of predictive analytics to optimize flight operations, and the emergence of low-cost carriers and budget airlines driving the demand for affordable flight data. However, data privacy concerns, limitations in data coverage, and the availability of alternative flight data sources may restrain market growth. The market is segmented based on application (SMEs and large enterprises), type (cloud-based and on-premises), and region (North America, Europe, Asia Pacific, South America, and Middle East & Africa). Prominent market players include Aviationstack, FlightAware, OpenSky, Cirium, and Trawex. This report provides comprehensive insights into the Flight Data API market, covering key trends, drivers, challenges, and opportunities. It analyzes the market landscape, including market size, segmentation, and competitive analysis, to provide a clear understanding of the market dynamics. The report also includes detailed profiles of key players in the industry, providing valuable insights into their strategies, product offerings, and financial performance.
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TwitterWith the sole mission to democratize financial data, Finnhub is excited to release the new Filings metadata dataset for bulk download. The data is cleaned and sourced directly from SEC filings from 1994-2020.
If you don't need bulk download, you can query this data for free on our website: https://finnhub.io/docs/api#filings. We also provide various type of financial data such as global fundamentals, deep historical tick data, estimates and alternative data.
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TwitterThis API is based on the Alternative Fuel Locations (https://data.cityofchicago.org/d/f7f2-ggz5) dataset.
List of locations in Chicago where alternative vehicle fuels are available. For more detailed descriptions of fields, see http://developer.nrel.gov/docs/transportation/alt-fuel-stations-v1.
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TwitterAlternative Energy Sources Company Llc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterOur lobbying data is collected and aggregated from the U.S. Senate Office of Public Records from 1999-present and is updated on a regular basis. We utilize advanced data science techniques to ensure accurate data points are collected and ingested, match similar entities across time, and tickerize publicly traded companies that lobby.
Our comprehensive and advanced lobbying data API is completed with all the information you need, with more than 1.6 million lobbying contracts ready-for-analysis. We include detailed information on all aspects of federal lobbying, including the following fascinating attributes, among much more:
Clients: The publicly traded company, privately owned company, interest group, NGO, or state or local government that employs or retains a lobbyist or lobbying firm.
Registrants (Lobbying Firms): Either the name of the lobbying firm hired by the client, or the name of the client if the client employs in-house lobbyists.
Lobbyists: The names and past government work experience of the individual lobbyists working on a lobbying contract.
General Issues: The general issues for which clients lobby on (ex: ENV - Environment, TOB - Tobacco, FAM - Family Issues/Abortion).
Specific Issues: A long text description of the exact bills and specific issues for which clients lobby on.
Bills Lobbied On: A parsed version of Specific Issues that catches specific HR, PL, and ACTS lobbied on (ex: H.R. 2347, S. 1117, Tax Cuts and Jobs Act).
Agencies Lobbied: The names of one or more of 250+ government agencies lobbied on in the contract (ex: White House, FDA, DOD).
Foreign Entities: The names and origin countries of entities affiliated with the client (ex: BNP Paribas: France).
Using our intelligently designed & curated data quality and easy-to-understand API documentation, researchers can easily query for data by company, organization, lobbying firm, or ticker symbol. Data is returned in standard JSON format and is ready-for-analysis.
Gain access to our highly unique and actionable U.S. lobbying data API. Further information on LobbyingData.com and our alternative datasets and database can be found on our website, or by contacting us through Datarade.
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According to our latest research, the global Veterinary Care Credit Alternatives APIs market size stood at USD 1.82 billion in 2024, reflecting robust demand for innovative financial solutions in animal healthcare. With a compound annual growth rate (CAGR) of 13.8% projected from 2025 to 2033, the market is expected to reach USD 5.22 billion by 2033. This growth is largely driven by the increasing adoption of API-based credit alternatives in veterinary care, enabling seamless integration of financing, insurance, and payment processing for pet owners and veterinary service providers.
One of the primary growth drivers for the Veterinary Care Credit Alternatives APIs market is the surging demand for accessible and flexible financing options in veterinary healthcare. Rising pet ownership rates globally have led to a surge in veterinary visits and procedures, many of which can be costly for pet owners. Traditional financing and credit solutions often fall short in terms of accessibility and approval rates, especially for pet owners with limited credit histories. APIs offering alternative credit solutions bridge this gap by leveraging advanced data analytics, alternative credit scoring models, and seamless integration with veterinary practice management systems. This not only enhances financial inclusion but also improves the overall experience for pet owners, resulting in higher adoption rates among veterinary clinics and animal hospitals.
Another significant factor propelling market growth is the rapid digital transformation of the veterinary healthcare sector. Veterinary practices are increasingly embracing digital tools to streamline operations, enhance client engagement, and offer value-added services. APIs serve as the backbone of this transformation, enabling interoperability between disparate systems such as practice management software, insurance platforms, and payment gateways. By facilitating real-time data exchange and automating credit approval processes, these APIs reduce administrative burdens, minimize errors, and accelerate the delivery of care. This technological shift is further supported by growing investments in healthtech startups and the rising popularity of pet insurance, both of which rely heavily on robust API ecosystems.
Furthermore, the evolving regulatory landscape and heightened consumer expectations are shaping the trajectory of the Veterinary Care Credit Alternatives APIs market. Governments and regulatory bodies are increasingly focusing on consumer protection, data privacy, and transparency in financial transactions. APIs that comply with these regulations while offering secure and user-friendly experiences are gaining traction among veterinary service providers and pet owners alike. Additionally, the ongoing trend toward personalized pet care has led to the development of tailored financing solutions, further expanding the addressable market. As more stakeholders recognize the value of integrated credit alternatives, the market is poised for sustained growth across diverse end-user segments.
Regionally, North America dominates the global market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The high penetration of pet insurance, advanced digital infrastructure, and favorable regulatory environment in North America have catalyzed the adoption of veterinary care credit alternatives APIs. Europe follows closely, driven by increasing pet adoption and supportive government policies, while Asia Pacific is emerging as a lucrative market due to rapid urbanization, rising disposable incomes, and growing awareness of pet healthcare. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as digital transformation initiatives gain momentum in these regions.
The Component segment of the Veterinary Care Credit Alternatives APIs market is broadly categorized into API So
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TwitterThis dataset is a powerful tool that provides an in-depth look at top US companies. It is designed to empower financial analysis and company valuation, and to enrich investment strategies and research.
You will get access to a rich universe of financial, ESG and alternative data collected for each company.
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TwitterEximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries
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According to our latest research, the global Veterinary Care Credit Alternatives APIs market size reached USD 1.23 billion in 2024, demonstrating robust momentum driven by the increasing demand for flexible pet healthcare financing and digital transformation in veterinary services. The market is projected to expand at a CAGR of 14.6% from 2025 to 2033, with a forecasted value of USD 4.23 billion by 2033. Key growth factors include the surge in pet ownership, rising veterinary care costs, and the accelerated adoption of fintech solutions within the animal healthcare sector.
One of the primary growth drivers for the Veterinary Care Credit Alternatives APIs market is the escalating cost of veterinary care, which has led pet owners to seek alternative financing solutions. As veterinary treatments, diagnostics, and preventive care become more advanced and expensive, many pet owners are unable to afford out-of-pocket payments for unexpected or high-cost procedures. This financial burden has spurred demand for API-powered credit alternatives that facilitate seamless access to loans, installment plans, and third-party financing options at the point of care. These APIs enable veterinary clinics and hospitals to offer pet owners a range of flexible payment solutions, thereby increasing treatment acceptance rates and improving pet health outcomes.
Another critical factor fueling the market’s growth is the rapid digitization of veterinary practice management and the integration of financial technology within the sector. Veterinary practices are increasingly adopting API solutions to streamline administrative workflows, automate payment processing, and integrate insurance verification and claims management. This digital transformation enhances operational efficiency, reduces manual errors, and provides a superior client experience. Furthermore, the rise of cloud-based platforms and open banking APIs has made it easier for veterinary clinics of all sizes to implement and scale credit alternatives, democratizing access to advanced financial tools previously limited to larger practices.
The evolving landscape of pet insurance and the growing collaboration between veterinary care providers and insurance companies are also contributing significantly to market growth. API-driven integrations enable seamless data exchange between clinics, insurers, and pet owners, facilitating real-time eligibility checks, claims submissions, and policy management. These integrations not only simplify the insurance process for all stakeholders but also support the development of innovative products such as embedded financing and wellness plans. The increasing awareness among pet owners about the benefits of insurance and alternative financing options is expected to further accelerate market adoption over the coming years.
From a regional perspective, North America continues to dominate the Veterinary Care Credit Alternatives APIs market, accounting for the largest share in 2024 due to its high pet ownership rates, advanced veterinary infrastructure, and early adoption of fintech solutions. Europe follows closely, driven by supportive regulatory frameworks and increasing investment in digital health technologies. Meanwhile, the Asia Pacific region is emerging as a high-growth market, propelled by rising disposable incomes, urbanization, and an expanding middle class willing to invest in pet healthcare. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a lower base, as awareness and access to veterinary financing solutions improve.
The Component segment of the Veterinary Care Credit Alternatives APIs market is categorized into API Solutions, Platforms, and Services. API Solutions represent the core technological foundation of this market, providing the essential building blocks for integrating credit alternatives into veterinary practice management systems, payment gateways, and insurance platforms. These APIs facilitate real-time credit checks, loan approvals, and transaction processing, ensuring seamless user experiences for both clinics and pet owners. The rapid evolution of API standards and the adoption of RESTful and GraphQL protocols have significantly enhanced the interoperability and scalability of these solutions, making them attractive to a broad spectrum of end-users.
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TwitterConvert 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
Join 8000+ other customers that rely on ScrapeHero
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.
Amazon, Walmart, Target, Home Depot, Lowes, Publix, Safeway, Albertsons, DoorDash, Grubhub, Yelp, Zillow, Trulia, Realtor, Twitter, McDonalds, Starbucks, Permits, Indeed, Glassdoor, Best Buy, Wayfair - any website.
Travel, Airline and Hotel Data Real Estate and Housing Data Brand Monitoring Human Capital Management Alternative Data Location Intelligence Training Data for Artificial Intelligence and Machine Learning Realtime and Custom APIs Distribution Channel Monitoring Sales Leads - Data Enrichment Job Monitoring Business Intelligence and so many more use cases
We provide data to almost EVERY industry and some of the BIGGEST GLOBAL COMPANIES
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TwitterWoodseer is the alternative data source for dividend forecasts / estimate data.
Our dataset comprises 5 years of backtestable history (as at Jan 2022), with coverage of 32000+ securities including ADRs and ETFs.
Available via API, FTP and/or login data is highly structured and machine-readable, handling all relevant dates, amounts, currencies, types, frequencies etc.
Clients for our data include some of the world's largest investment banks, market makers, index providers, custodians, hedge funds and asset managers.
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TwitterWith the sole mission to democratize financial data, Finnhub is excited to release the new Financials as Reported dataset for bulk download. The data is cleaned and sourced directly from SEC filings from 2010-2020.
If you don't need bulk download, you can query this data for free on our website: https://finnhub.io/docs/api#financials-reported. We also provide various type of financial data such as global fundamentals, deep historical tick data, estimates and alternative data.
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TwitterXverum delivers comprehensive data on 15M+ US companies, providing deep insights into their corporate structure, mergers and acquisitions, employee count, affiliated companies, and competitors.
Identification of potential competitors and partners is necessary to understand your competitive landscape in the USA. Our continuous data monitoring and updates ensure you always have the latest information on the US market at your fingertips.
Key use cases where our 15M+ US Company Data can bring you value:
Market Research & Analysis: Understand industry trends, competitor landscapes, and emerging opportunities.
Sales & Marketing: Identify high-potential leads, target specific segments, and personalize outreach.
Investment & Due Diligence: Evaluate investment targets, assess risk profiles, and inform strategic decisions.
Business Development: Discover strategic partners, explore new markets, and expand your reach.
Competitive Intelligence: Gain a clear view of your competitive landscape and make informed strategic choices.
At Xverum we understand our clients' data needs and focus on these values: - 100% Open Web, Legal, GDPR, and CCPA Compliant - Always up-to-date data with monthly updates - Easily integrates into your architecture - Verified and accurate US company profiles - API access to enrich your DB
Xverum's data is more than just numbers; it's the key to unlocking unparalleled business growth. Contact us and we'll help you to get insights into the US market.
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As per our latest research, the global Alternative Data Analytics for Trading AI market size reached USD 4.7 billion in 2024, reflecting robust adoption across financial institutions and trading firms. The market is projected to grow at a CAGR of 23.5% during the forecast period, reaching a remarkable USD 37.6 billion by 2033. This exceptional growth is driven by the increasing demand for actionable insights from unconventional data sources, the rapid evolution of AI-based trading strategies, and the intensifying need for competitive differentiation in global capital markets.
A primary growth factor fueling the expansion of the Alternative Data Analytics for Trading AI market is the ongoing digital transformation within the financial services industry. As traditional data sources become saturated and less effective at generating alpha, investment managers and traders are turning to alternative data—such as satellite imagery, social media sentiment, and transactional records—to gain unique market perspectives. The integration of AI and machine learning technologies with these diverse data streams enables the extraction of predictive signals and actionable intelligence, which significantly enhances trading performance and portfolio optimization. This trend is further accelerated by the proliferation of big data platforms and advanced analytics tools, making it feasible for firms of all sizes to process, analyze, and derive value from massive, unstructured datasets in real time.
Another significant driver is the evolving regulatory landscape and the increasing emphasis on transparency and risk management in global financial markets. Regulatory bodies are encouraging the adoption of sophisticated analytics to ensure compliance, detect anomalies, and mitigate systemic risks. Alternative data analytics platforms, powered by AI, not only facilitate better risk assessment but also help in identifying fraudulent activities, market manipulation, and emerging market trends. This regulatory impetus, coupled with the growing sophistication of AI models, is compelling both buy-side and sell-side institutions to invest in alternative data solutions, thereby propelling market growth.
Additionally, the democratization of alternative data is expanding the market's reach beyond institutional investors to include retail traders and smaller asset managers. Cloud-based deployment models, open-source analytics frameworks, and API-driven data marketplaces are making alternative data more accessible and affordable. As a result, there is a notable surge in demand from retail investors and fintech startups seeking to leverage AI-powered trading signals derived from non-traditional data sources. This broadening end-user base is expected to sustain the market's momentum over the next decade, as more participants seek to capitalize on the informational edge provided by alternative data analytics.
From a regional perspective, North America commands the largest share of the Alternative Data Analytics for Trading AI market, owing to its advanced financial ecosystem, high concentration of hedge funds and asset managers, and early adoption of AI technologies. Europe follows closely, driven by stringent regulatory requirements and the growing presence of fintech innovation hubs. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid digitalization, expanding capital markets, and increasing investments in AI infrastructure. Latin America and the Middle East & Africa, while currently representing smaller shares, are expected to witness accelerated growth as local financial institutions embrace alternative data analytics to enhance trading efficiency and market competitiveness.
The Data Type segment is a cornerstone of the Alternative Data Analytics for Trading AI market, encompassing a diverse array of sources such as Social Media Data, Satellite Data, Web Scraping Data, Financial Transaction Data, Sensor Data, and Others.