Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.

This dataset offers both live (delayed) prices and End Of Day time series on equity options

1/ Live (delayed) prices for options on European stocks and indices including: Reference spot price, bid/ask screen price, fair value price (based on surface calibration), implicit volatility, forward Greeks : delta, vega Canari.dev computes AI-generated forecast signals indicating which option is over/underpriced, based on the holders strategy (buy and hold until maturity, 1 hour to 2 days holding horizon...). From these signals is derived a "Canari price" which is also available in this live tables.
Visit our website (canari.dev ) for more details about our forecast signals.

The delay ranges from 15 to 40 minutes depending on underlyings.

2/ Historical time series: Implied vol Realized vol Smile Forward
See a full API presentation here : https://youtu.be/qitPO-SFmY4 .

These data are also readily accessible in Excel thanks the provided Add-in available on Github: https://github.com/canari-dev/Excel-macro-to-consume-Canari-API

If you need help, contact us at: contact@canari.dev

User Guide: You can get a preview of the API by typing "data.canari.dev" in your web browser. This will show you a free version of this API with limited data.

Here are examples of possible syntaxes:

For live options prices: data.canari.dev/OPT/DAI data.canari.dev/OPT/OESX/0923 The "csv" suffix to get a csv rather than html formating, for example: data.canari.dev/OPT/DB1/1223/csv For historical parameters: Implied vol : data.canari.dev/IV/BMW

data.canari.dev/IV/ALV/1224

data.canari.dev/IV/DTE/1224/csv

Realized vol (intraday, maturity expressed as EWM, span in business days): data.canari.dev/RV/IFX ... Implied dividend flow: data.canari.dev/DIV/IBE ... Smile (vol spread between ATM strike and 90% strike, normalized to 1Y with factor 1/√T): data.canari.dev/SMI/DTE ... Forward: data.canari.dev/FWD/BNP ...

List of available underlyings: Code Name OESX Eurostoxx50 ODAX DAX OSMI SMI (Swiss index) OESB Eurostoxx Banks OVS2 VSTOXX ITK AB Inbev ABBN ABB ASM ASML ADS Adidas AIR Air Liquide EAD Airbus ALV Allianz AXA Axa BAS BASF BBVD BBVA BMW BMW BNP BNP BAY Bayer DBK Deutsche Bank DB1 Deutsche Boerse DPW Deutsche Post DTE Deutsche Telekom EOA E.ON ENL5 Enel INN ING IBE Iberdrola IFX Infineon IES5 Intesa Sanpaolo PPX Kering LOR L Oreal MOH LVMH LIN Linde DAI Mercedes-Benz MUV2 Munich Re NESN Nestle NOVN Novartis PHI1 Philips REP Repsol ROG Roche SAP SAP SNW Sanofi BSD2 Santander SND Schneider SIE Siemens SGE Société Générale SREN Swiss Re TNE5 Telefonica TOTB TotalEnergies UBSN UBS CRI5 Unicredito SQU Vinci VO3 Volkswagen ANN Vonovia ZURN Zurich Insurance Group

Access real-time and historical US equity options data included as part of Databento's OPRA data feed. MIAX Sapphire is an all-electronic options exchange that holds a taker-maker and price-time allocation model.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

Cryptocurrencies

Finage offers you more than 1700+ cryptocurrency data in real time.

With Finage, you can react to the cryptocurrency data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 7-year historical data API.

You can view the full Cryptocurrency market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_Crypto_Coverage.pdf

Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Nasdaq PHLX is a full service options trading platform offering both electronic and floor-based trading. PHLX runs a customer priority, pro rata allocation model focused on executions for Complex and Simple Orders. Features of PHLX include: price improvement on XL (PIXL), complex order systerm, flexible routing strategies, and more.

Success.ai’s Online Search Trends Data API empowers businesses, marketers, and product teams to stay ahead by monitoring real-time online search behaviors of over 700 million users worldwide. By tapping into continuously updated, AI-validated data, you can track evolving consumer interests, pinpoint emerging keywords, and better understand buyer intent.

This intelligence allows you to refine product positioning, anticipate market shifts, and deliver hyper-relevant campaigns. Backed by our Best Price Guarantee, Success.ai’s solution provides the valuable insight needed to outpace competitors, adapt to changing market dynamics, and consistently meet consumer expectations.

Why Choose Success.ai’s Online Search Trends Data API?

1. Real-Time Global Insights

   • Leverage up-to-the-minute search data from users spanning all major industries, regions, and demographics.
   • Confidently tailor campaigns, content, and product roadmaps to match dynamic consumer interests and seasonality.

2. AI-Validated Accuracy

   • Rely on 99% data accuracy through AI-driven validation, reducing guesswork and improving conversion rates.
   • Make data-driven decisions supported by credible, continuously refreshed intelligence.

3. Continuous Data Updates

   • Stay aligned with changing market conditions, competitor moves, and evolving consumer behaviors as they happen.
   • Adapt swiftly to shifting trends, product demands, and industry developments, maintaining long-term relevance.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage and brand protection.

Data Highlights:

• 700M+ Global User Insights: Access search trends, queries, and user behaviors for unparalleled audience understanding.
• Real-Time Updates: Maintain agility in content creation, product development, and marketing strategies.
• AI-Validated Accuracy: Trust in high-fidelity data to inform critical decisions, reducing wasted investments.
• Best Price Guarantee: Maximize ROI by accessing premium-quality data at unbeatable value.

Key Features of the Online Search Trends Data API:

1. On-Demand Trend Analysis

   • Query the API to identify emerging keywords, popular topics, and changing consumer priorities.
   • React rapidly to new opportunities, delivering content and offers that resonate with current market interests.

2. Advanced Filtering and Segmentation

   • Filter by region, industry vertical, time frames, or user attributes.
   • Focus on audiences and themes most relevant to your strategic goals, improving campaign performance and message relevance.

3. Real-Time Validation and Reliability

   • Benefit from AI-driven validation to ensure data integrity and accuracy.
   • Reduce risk, optimize resource allocation, and confidently direct initiatives supported by up-to-date, trustworthy data.

4. Scalable and Flexible Integration

   • Easily integrate the API into existing marketing automation platforms, analytics tools, or product management software.
   • Adjust parameters as goals evolve, ensuring long-term flexibility and alignment with strategic objectives.

Strategic Use Cases:

1. Product Development and Innovation

   • Identify rising user interests, unmet needs, or competitive gaps by analyzing search trends.
   • Shape product features, enhancements, or entirely new offerings based on verified consumer demand.

2. Content Marketing and SEO

   • Uncover trending topics, popular keywords, and seasonal interests to produce relevant content.
   • Improve organic reach, engagement, and lead generation by meeting users at the intersection of their search intent.

3. Market Entry and Expansion

   • Validate market readiness and user curiosity in new regions or niches.
   • Enter unfamiliar territories or launch product lines confidently, backed by real-time search insights.

4. Advertising and Campaign Optimization

   • Align ad creatives, messaging, and promotions with the most popular search terms.
   • Increase CTRs, conversions, and overall campaign efficiency by resonating more deeply with consumer interests.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality search trends data at the most competitive prices, ensuring exceptional ROI on data-driven initiatives.

2. Seamless Integration

   • Incorporate the API into your workflow with ease, enhancing productivity and eliminating data silos.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide strategies, refine targeting, and achieve stronger engagement outcomes.

4. Customizable and Scalable Solutions

   • Tailor datasets, filters, and time frames to your evolving market conditions, strategic ambitions, and audience needs.

Additional APIs for Enhanced Functionality:

1. Data Enrichment API
   • Combine search trends data with o...

Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Nasdaq PHLX is a full service options trading platform offering both electronic and floor-based trading. PHLX runs a customer priority, pro rata allocation model focused on executions for Complex and Simple Orders. Features of PHLX include: price improvement on XL (PIXL), complex order systerm, flexible routing strategies, and more.

Access real-time and historical US equity options data included as part of Databento's OPRA data feed. NYSE Arca Options utilizes a hybrid trading platform offering both electronic and floor-based trading. NYSE Arca operates a blend of price-time priority with LMM participation. It's also part of a dual market structure providing access to both NYSE American and Arca through an integrated platform.

Snapshot img

Open Banking Market Size 2024-2028

The open banking market size is forecast to increase by USD 57.66 billion at a CAGR of 27.2% between 2023 and 2028. The market is witnessing significant growth due to the increasing demand for advanced Financial Management Tools that offer real-time access to Financial Data from multiple Financial Institutions. Open Banking Solutions, which utilize Open Banking APIs, enable automated savings, real-time transactions, and enhanced security features. The integration of Artificial Intelligence (AI) into these services further streamlines financial management and enhances personalized customer experiences. However, the handling of sensitive personal financial data necessitates strict adherence to guidelines and regulations to ensure data security and privacy. Key market trends include the growing preference for faster and more seamless payment processing, increased focus on data security, and the potential for increased competition among Financial Institutions as they adapt to the Open Banking landscape.

Request Free Sample

Open banking, a financial services model that enables third-party providers to access customers' financial data through APIs, is revolutionizing the payment ecosystem. This innovative approach allows for more customer-centric services, personalized financial offerings, and informed financial decisions. Broadband connectivity plays a crucial role in the open banking landscape, ensuring seamless access to real-time data for machine learning algorithms and AI applications. These technologies are integral to the open banking model, as they enable advanced data analytics and the development of innovative financial services. Security is a top priority in the market. Financial institutions are investing heavily in advanced security measures to protect sensitive customer data from online fraud. AI and machine learning algorithms are being employed to detect and prevent fraudulent activities in real-time. E-commerce and open banking are natural partners, with the former benefiting from the real-time financial data access provided by the latter.

Further, open banking APIs are the backbone of this new financial services model, allowing for seamless integration between financial institutions and third-party service providers. These APIs enable the sharing of financial data in a secure and standardized manner, facilitating the development of innovative financial services. Personalized financial services are a key benefit of open banking. By leveraging big data analytics and AI, financial institutions can offer customized offerings tailored to individual customers' financial needs and preferences. In conclusion, open banking is transforming the payment ecosystem by enabling real-time data access, advanced data analytics, and the development of innovative financial services. With a focus on security and customer-centricity, this model is poised to disrupt traditional financial services and reshape the industry landscape.

Market Segmentation

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

Service

  Banking and capital markets
  Payments
  Digital currencies


Deployment

  On premise
  Cloud


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Service Insights

The banking and capital markets segment is estimated to witness significant growth during the forecast period. The market is revolutionizing the banking and financial services sector in the global payment ecosystem. Through strategic collaborations and innovative service offerings, Open Banking is enhancing payment processes, expanding investment accessibility, and promoting financial inclusion. In June 2024, Euronet, a leading financial technology and payments provider, partnered with Fintech Galaxy to introduce a new Banking as a Service (BaaS) offering. This collaboration aims to deliver faster, more secure, and cost-effective account-based transactions for banks, fintechs, and merchants. Key features of this service include card as a service, real-time payment processing, and advanced fraud detection. By integrating with consumer bank accounts, this solution reduces transaction costs and promotes financial inclusion, while also driving the adoption of digital transactions in the European region.

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in Open Banking is further fueling the growth of the market. Big data analytics is enabling financial institutions to gain valuable insights into customer behavior and preferences, leading to personalized services and improved customer experience. The use of Open Banking is

Find unrivaled company, commodity and economic stories formatted for automated consumption, with LSEG Real-Time News, powered by Reuters.

Snapshot img

Financial Planning Software Market Size 2024-2028

The financial planning software market size is forecast to increase by USD 8.67 billion at a CAGR of 23.55% between 2023 and 2028.

The market is experiencing significant growth due to increasing complexity in financial management and the integration of advances in artificial intelligence (AI). These trends enable automated financial planning, forecasting, and analysis, enhancing the efficiency and accuracy of financial operations. 
However, data privacy and security concerns remain a challenge, as financial data is sensitive and must be protected. Compliance with regulatory requirements and maintaining security services are essential to mitigate risks and build trust with customers. Overall, the market is expected to continue expanding, driven by the need for streamlined financial processes and the potential of AI to transform the industry.

What will be the Size of the Financial Planning Software Market During the Forecast Period?

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The market encompasses solutions that facilitate financial transactions management, investment tracking, digital asset management, budgeting, and portfolio management for individuals, investors, advisors, representatives, accountants, and businesses. These tools utilize economic data and bank records to generate analytical output, enabling effective decisions and digitalizing financial services. 
The market's growth is driven by the increasing number of internet users seeking to manage their financial plans and accounts more efficiently. Amidst the epidemic, there has been a heightened emphasis on remote financial management, further fueling market expansion. Asset management and investment monitoring have emerged as key areas of focus, with solutions offering advanced features to cater to the diverse needs of users.
The market is expected to continue growing, as more individuals and businesses recognize the benefits of leveraging technology for financial planning and management.

How is this Financial Planning Software Industry segmented and which is the largest segment?

The financial planning software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Software
  Services


Application

  Financial advice and management
  Portfolio/accounting/trading management
  Wealth management
  Personal banking


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

The market is experiencing significant growth due to the increasing requirement for efficient data management and organization for financial planning, budgeting, and forecasting. This software stores financial data on a server, accessible to authorized personnel via various devices. Its transparency facilitates quicker and easier monitoring, while also offering tax strategy planning and long-term financial planning. Additionally, the software automates and coordinates portfolio transactions, providing comprehensive data and historical investment information. Economic data, accounting transactions, bank records, and investment monitoring are seamlessly integrated into the software. With automation and digitalization, financial advisory businesses, enterprises, and individual investors can make effective decisions, improving productivity and financial strategies.

The software's cloud-based deployment ensures version control, continuing education, and mobile formats, making it adaptable to law changes and internet dependency. Digital identification technologies, artificial intelligence, and robotic process automation enhance its functionality. Despite concerns regarding time-consuming processes and expenses, the rising demand for financial planning software outweighs these concerns.

Get a glance at the Financial Planning Software Industry report of share of various segments Request Free Sample

The Software segment was valued at USD 1.53 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 40% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The market in North America experienced significant growth in 2023, driven by developed countries such as the US and Canada. With high-income levels, there is an increasing preference for financial planning to m

Snapshot img

Competitive Intelligence Tools Market Size 2025-2029

The competitive intelligence tools market size is forecast to increase by USD 27.95 billion, at a CAGR of 9.5% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the exponential increase in data and the rising adoption of smart connected devices. These trends are transforming business landscapes, creating opportunities for companies to gain valuable insights and make informed decisions. However, this data-driven evolution also presents challenges. Data privacy and security concerns are becoming increasingly prominent, as organizations grapple with the responsibility of safeguarding sensitive information. Effective management of these challenges will be crucial for companies seeking to capitalize on market opportunities and navigate the competitive landscape successfully. To stay ahead, they must invest in advanced analytics tools, implement robust data security measures, and adopt a proactive approach to competitive intelligence.
The ability to harness the power of data while addressing privacy and security concerns will be a key differentiator in the market. Companies must invest in robust solutions that balance the need for insights with the imperative to protect data. By doing so, they can turn data into a strategic asset, driving growth and innovation. Online platforms that offer competitive intelligence tools integrate various data sources, including IoT devices, social media, and AI, to provide comprehensive insights for strategic planning.

What will be the Size of the Competitive Intelligence Tools Market during the forecast period?

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In today's business landscape, competitive intelligence has become a crucial element for organizations to gain a competitive edge. The market for competitive intelligence tools is witnessing significant growth, driven by the increasing demand for data-driven decision-making. This market encompasses various solutions, including statistical analysis, data warehousing, scenario analysis, and competitive intelligence consulting. Data is the backbone of these tools, and unstructured data is gaining prominence. Data reliability is paramount, necessitating data security protocols and data validation. Customized reports, data transformation, and data mining techniques enable businesses to derive valuable insights from their data. Data aggregation, market research reports, and industry analysis reports provide a comprehensive view of the competitive landscape.
Interactive dashboards, predictive modeling, and API integration offer real-time monitoring and user experience enhancements. Data science expertise, data modeling, and integration capabilities are essential for trend analysis and data insights. Deep learning algorithms, data cleansing, and data modeling contribute to data accuracy and consistency. Data standardization and data completeness ensure data quality and data governance policies. Competitive intelligence strategy relies on data enrichment, hypothesis testing, and data visualization dashboards to provide actionable insights. Proprietary algorithms and user interface design further differentiate offerings. Data overload is a common challenge, leading to the adoption of predictive analysis and machine learning technologies to help businesses make sense of vast amounts of data.

How is this Competitive Intelligence Tools Industry segmented?

The competitive intelligence tools industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


Distribution Channel

  Large enterprises
  SMEs


End-user

  IT and telecom
  Healthcare
  Retail
  Financial services
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Russia
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period. In today's business landscape, cloud-based competitive intelligence tools are gaining significant traction as organizations seek to reduce hardware expenses and minimize in-house storage requirements. These solutions, available as software as a service (SaaS) and subscription-based models, encompass various offerings such as data analytics software, financial intelligence tools, and knowledge management systems. In October 2024, EY (Ernst and Young) introduced EY Competitive Edge, a cloud-based platform that leverages generative AI (GenAI) technologies and is built on Microsoft Azure. This innovative solution delivers real-time, customized insights into markets, companies, and industries. Th

Note:- Only publicly available data can be worked upon

In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

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Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Cboe BZX is an all-electronic options exchange that holds a price-time, maker-taker model. A key differentiator of BZX from the other Cboe options exchanges is its hidden price improvement.

Success.ai’s Company Financial Data for European Financial Professionals provides a comprehensive dataset tailored for businesses looking to connect with financial leaders, analysts, and decision-makers across Europe. Covering roles such as CFOs, accountants, financial consultants, and investment managers, this dataset offers verified contact details, firmographic insights, and actionable professional histories.

With access to over 170 million verified professional profiles, Success.ai ensures your outreach, market research, and partnership strategies are driven by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution is indispensable for navigating the fast-paced European financial landscape.

Why Choose Success.ai’s Company Financial Data?

1. Verified Contact Data for Precision Targeting

   • Access verified work emails, phone numbers, and LinkedIn profiles of financial professionals across Europe.
   • AI-driven validation ensures 99% accuracy, reducing communication inefficiencies and improving engagement rates.

2. Comprehensive Coverage Across Europe

   • Includes financial professionals from key markets such as the United Kingdom, Germany, France, Italy, and the Netherlands.
   • Gain insights into regional financial trends, industry dynamics, and regulatory landscapes.

3. Continuously Updated Datasets

   • Real-time updates capture changes in professional roles, company structures, and market conditions.
   • Stay ahead of industry shifts and capitalize on emerging opportunities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 170M+ Verified Professional Profiles: Access detailed profiles of European financial professionals across industries and sectors.
• Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precise targeting.
• Firmographic Data: Understand company sizes, revenue ranges, and geographic footprints to inform your outreach strategy.
• Leadership Insights: Connect with CFOs, financial controllers, and investment managers driving financial strategies.

Key Features of the Dataset:

1. Comprehensive Financial Professional Profiles

   • Identify and connect with key players in finance, including financial analysts, accountants, and consultants.
   • Target professionals responsible for budgeting, investment strategies, regulatory compliance, and financial planning.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (banking, fintech, asset management), geographic location, or job function.
   • Tailor campaigns to align with specific financial needs, such as software solutions, advisory services, or compliance tools.

3. Regional and Industry Insights

   • Leverage data on European financial trends, regulatory challenges, and market opportunities.
   • Refine your approach to align with industry-specific demands and geographic preferences.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Lead Generation

   • Design targeted campaigns to promote financial software, advisory services, or compliance solutions to European financial professionals.
   • Use verified contact data for multi-channel outreach, including email, phone, and social media.

2. Partnership Development and Collaboration

   • Build relationships with financial firms, fintech companies, and investment organizations exploring strategic partnerships.
   • Foster collaborations that enhance financial efficiency, innovation, or regulatory compliance.

3. Market Research and Competitive Analysis

   • Analyze financial trends across Europe to refine product offerings, marketing strategies, and business expansion plans.
   • Benchmark against competitors to identify growth opportunities and emerging demands.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers recruiting for financial roles, from analysts to CFOs.
   • Provide workforce optimization platforms or training solutions tailored to the financial sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality financial data at competitive prices, ensuring strong ROI for your marketing, sales, and partnership initiatives.

2. Seamless Integration

   • Integrate verified financial data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, streamlining workflows and enhancing productivity.

3. Data Accuracy with AI Validation

   • Rely on 99% accuracy to guide data-driven decisions, refine targeting, and boost conversion rates in financial ca...

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

Key Travel Datasets Available:

  Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
    Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.

  Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
    to optimize revenue management and competitive analysis.

  Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
    including restaurant details, customer ratings, menus, and delivery availability.

  Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
    across different regions.

  Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
    allowing for precise market research and localized business strategies.



Use Cases for Travel Datasets:

  Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
  Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
  Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
  Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.



  Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
  API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
  Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.

Access real-time and historical US equity options data included as part of Databento's OPRA data feed. The NASDAQ Options Market offers immediate and automatic price improvement to orders. Orders designated to use the options routing feature are routed to other markets to ensure orders get the best price available. The NASDAQ Options Market also links to and complies with the obligations of the Options InterMarket Linkage.

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Core Banking Software Market Size 2025-2029

The core banking software market size is forecast to increase by USD 56.39 billion at a CAGR of 30.8% between 2024 and 2029.

The market is witnessing significant growth due to technological advancements, with the adoption of cloud-based solutions becoming increasingly popular. These solutions offer scalability, cost-effectiveness, and enhanced flexibility for financial institutions. Another trend driving market growth is the modernization and integration of legacy systems with existing infrastructure. In the realm of fintech, network security remains a top priority, with multi-factor authentication, artificial intelligence, machine learning, and big data playing crucial roles in ensuring security. Open banking and information services are also gaining traction, with chatbots and generative artificial intelligence enhancing customer experience. As the financial sector continues to evolve, core banking software will remain a key component, enabling wealth management, led by continuous innovation and integration of advanced technologies.

What will be the Size of the Core Banking Software Market during the forecast period?

Request Free SampleThe market encompasses solutions designed to support the mission-critical banking functions of financial institutions. These systems facilitate a range of transactions, from basic account management to complex lending and borrowing operations. Market dynamics are driven by evolving customer needs, with an increasing emphasis on omnichannel banking access, including online and mobile channels. Banks require centralized, integrated systems to manage multiple branches and streamline turnaround times. Technology requirements include support for high transaction volumes, cloud-based solutions, and AI-integration. Core banking software enables banking organizations to offer a comprehensive suite of services, from deposit and loan management to compliance and risk mitigation.The market continues to grow, driven by the need for efficient, flexible, and scalable solutions to meet the demands of modern banking firms.

How is this Core Banking Software Industry segmented?

The core banking software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloudEnd-userBanksFinancial institutionsGeographyNorth AmericaCanadaUSEuropeGermanyUKFranceItalyAPACChinaIndiaJapanSouth AmericaBrazilMiddle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.The global Core Banking Software (CBS) market has predominantly relied on on-premise deployment through 2024, catering to specific market demands and regulatory requirements such as GDPR and PCI-DSS. Large financial institutions with complex infrastructure benefit from on-premise solutions due to enhanced control, security, and customization options. Concerns regarding data protection and compliance drive organizations towards on-premise CBS. Despite the escalating popularity of cloud-based alternatives, on-premise deployment remains the market leader, offering financial institutions worldwide a reliable and flexible solution. Key features of CBS include real-time processing, transaction monitoring, loan accounting, and loan management processes. Integration, software deployment, project management, and technology requirements are essential considerations.The CBS market incorporates fintech technologies like AI, Big Data, and visualization capabilities to improve operational efficiency and customer engagement. Security features, such as network security and protection against unencrypted data, application vulnerabilities, mobile malware, and credit unions, corporate banks, and financial institutions' cyber-attacks, are crucial. CBS solutions are available in various deployment models, including SaaS/hosted and licensed, catering to the needs of large banks, community banks, retail banking, treasury, wealth management, and digital businesses. The focus on digitized operations, banking service quality, turnover times, customer needs, and omnichannel banking access continues to drive the market forward.

Get a glance at the market report of share of various segments Request Free Sample

The On-premises segment was valued at USD 6.41 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 36% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market size of various regions, Request Free Sample

The

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