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TwitterGPI pulse™ is a dynamic value, price, and access analytics platform, utilising powerful algorithms to combine multiple data streams in a way that will give you unique insight into the full market access journey.
This powerful platform is designed to be used as part of GPI’s comprehensive solution for pricing and market access strategy, but can also be leveraged to rapidly extract customised sets of analysis-ready data.
GPI pulse™ offers pharmaceutical pricing and reimbursement data across 95+ markets, covering all therapeutic areas. The provision of this data requires real-time, dynamic collation from a multitude of global sources with individual formats and update schedules.
Prices: List price data is stored at pack level. To track all prices from ex-factory to reimbursed prices, GPI also applies a series of calculations to provide a clear view across the supply chain.
Reimbursement: Payer compensation and restrictions applied at pack and product level.
Use Cases: - Quickly view global availability of key competitors or analogues - Access list prices and track prices across the supply chain - Understand how therapies have been restricted in certain markets - Track list price changes over time
GPI continually invest in technology, taxonomy, and quality assurance, to ensure our data is the gold-standard in terms of accuracy, granularity, and timeliness. GPI pulse™ supports the full spectrum of biopharma clients, from top tier pharma to clinical stage biotech. The analytics tools within GPI pulse™ are built specifically with pricing, market access, and commercial strategy teams in mind.
FREE DATA SAMPLES AVAILABLE: - Pricing - Cost of Treatment - Reimbursement and HTA
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TwitterIn 2025, Tokyo was ranked as the most expensive market worldwide for data center construction. The cost per watt in the Japanese capital was reported at ******U.S. dollars, ahead of Singapore at ***** U.S. dollars. A range of local factors such as land prices, labor availability, and power costs can heavily impact data center construction pricing.
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TwitterMealMe provides comprehensive grocery and retail POI and SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis.
Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets.
Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs.
Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!
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Levelized cost of electricity database developed by Govinda Timilsina, Sr. Economist, Development Research Group This database is the result of the following study: Timilsina, Govinda R. (2020). “Demystifying the Costs of Electricity Generation Technologies”. World Bank Policy Research Working Paper, WPS 9303. World Bank Washington, DC. This database presents the cost of 11 electricity generation technologies when input variables take alternative values. The technologies are: solar PV (utility-scale), concentrated solar power, onshore wind, offshore wind, gas combined cycle, gas turbine, hydro, geothermal, coal, nuclear and biomass. The input variables taking alternative values are discount rate, capital costs, fixed O&M costs, capacity factor, economic life, heat rate, fuel price. There are more than four thousand LCOE presented in this database. This database could help find LCOE for any combination of input variables. Any error in the database is of authors; it should not be attributed to the World Bank Group. Contact: Govinda Timilsina, e-mail: gtimilsina@worldbank.org
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Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q2 2025 about World, commodities, price index, indexes, and price.
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TwitterSuccess.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:
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.
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.
Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.
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.
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...
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Pricing has long been and will continue to be a core capability for retailers. Executives and merchants alike recognize it as one of the key value levers, and, accordingly, retailers have worked to refine their pricing strategy, tactics, and tools over the past several decades in hopes of optimizing their approach. Despite recent advances in analytics, decision-support tools, and methodologies, retailers are finding that the traditional approaches are not keeping pace. Indeed, the new digital era stemming from big data, mobile commerce, and the explosion of omnichannel retailing has meaningfully changed the environment and requires an overhaul of retailers’ pricing strategy and capabilities.
Real-time data updates (from sources such as mobile search and product reviews) generate terabytes of data, and global data generation is projected to grow at a rate of 40 percent annually. Armed with this data, retailers are hiring new talent, buying or building sophisticated tools to harness the data, and going after potential new margin increases of up to 60 percent, according to the McKinsey Global Institute.
So finding trends in pricing strategies is a key input to setting pricing strategy e.g. selecting key value categories (KVCs) and key value items (KVIs) and the relevance and evolution of these concepts as a core part of price strategy in today’s digital retail environment.
Ref. Pricing in retail: Setting strategy
Over 7,000 electronic products with pricing information across 10 unique fields provided by Datafiniti's Product Database. The dataset also includes the brand, category, merchant, name, source, and more.
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Datafiniti's Product Database.
Identify retail industry trends in pricing strategies. E.g.:
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According to Cognitive Market Research, the global Data Privacy Management Platform market size is USD 3158.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 39.50% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 1263.44 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 947.58 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 726.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 41.5% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 157.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 179.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 39.2% from 2024 to 2031.
VTEX Compliance Management is the largest segment of the global data privacy management platform market.
Market Dynamics of Data Privacy Management Platform Market
Key Drivers for Data Privacy Management Platform Market
Data Protection using AI
The rising use of technology in enterprises necessitates efficient data protection, which has resulted in an increased need for AI technology. The AI-infused technologies expedite the business process, providing improved data preservation and gathering while also improving data security. Furthermore, most firms collect data from a variety of touchpoints, including websites, mobile devices, and even Internet of Things (IoT) enabled devices. The collecting of data from numerous touchpoints creates a necessity for efficient data protection, which leads to the use of AI. With the increased usage of artificial intelligence, the organization's IT team protects data and ensures security.
Demand for cloud-based deployment will drive market expansion
This market is expected to grow steadily throughout the estimated period, owing to ongoing research and development activities to create critical advances. The cloud deployment option is ideal for firms who want to install analytics solutions at a minimal cost. It enables the organization to obtain data for all of its services at a reasonable cost. It means that the rapidly increasing demand for cloud-based deployment will drive market growth in the near future.
Restraint Factor for the Data Privacy Management Platform Market
High expense of these solutions
These high expenses limit the expansion of the Data Privacy Management Platform Market. The expenses of implementing and maintaining such a platform are high, and they may provide a considerable barrier to entry for enterprises willing to spend in data privacy management. Again, this is limited to the fact that these solutions are extremely complicated, necessitating specialized technology and knowledge, all of which raises their cost. As a result, certain companies may find it too expensive to implement these solutions, making it more difficult for them to make real data privacy improvements. Every firm must weigh the costs and benefits before deciding whether to invest in such a platform for effective data protection
Impact of Covid-19 on the Data Privacy Management Platform Market
The Covid-19 outbreak has acted as a key driver of growth in the data privacy management platform market. Sudden remote work, hefty dependence on digital technologies, dragged organizations down to take extra care in matters of data privacy and security. The pandemic accelerated the need for data privacy management platforms as companies sought to protect sensitive information associated with a work-from-home environment. Moreover, the pandemic situation created a very strong perception of cyber threats and actually emphasized robust data privacy solutions. Introduction of the Data Privacy Management Platform Market
The data privacy management platform market refers to the industry segment oriented toward rendering software solutions aimed at facilitating organizations in managing and protecting sensitive data in compliance with legislation related to data privacy. These platforms offer tools and f...
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TwitterAs of February 2024, the average cost of a data breach worldwide was about **** million U.S. dollars. Of this total, **** million U.S. dollars were the costs for detection and escalation, **** million U.S. dollars were the costs of lost business, and **** million U.S. dollars were post-breach response costs.
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TwitterSuccess.ai’s Ecommerce Merchant Data and B2B Contact Data for Global E-commerce Professionals provides a comprehensive and highly accurate database from over 170 million verified profiles. Specifically tailored for the e-commerce sector, this dataset features work emails, direct phone numbers, and enriched professional profiles to connect businesses with the leaders and decision-makers shaping the global e-commerce landscape. Continuously updated with advanced AI validation, this resource is ideal for enhancing marketing campaigns, sales initiatives, recruitment efforts, and market research.
Key Features of Success.ai's Global E-commerce Professional Contact Data
Global Data Coverage Gain access to an extensive database spanning key e-commerce markets worldwide. With verified profiles from 170M+ professionals, Success.ai ensures you can connect with global influencers, decision-makers, and strategists across diverse regions and industries.
AI-Driven Accuracy Harness the power of AI validation for 99% accuracy rates across emails and phone numbers. Our continuously updated dataset ensures that you reach the right professionals with reliable and actionable contact data.
Tailored for E-commerce Professionals Our data includes profiles of experts in online retail, supply chain logistics, payment systems, digital marketing, and e-commerce technology, making it a perfect fit for targeting niche segments within the e-commerce industry.
Customizable Data Delivery Choose from API integrations, custom flat files, or direct database access to seamlessly integrate this dataset into your existing systems, empowering your team with flexibility and efficiency.
Compliance-Ready Data Success.ai ensures all data is collected and processed in alignment with GDPR, CCPA, and other international compliance standards, so you can leverage this resource with confidence and ethical assurance.
Why Choose Success.ai for Global E-commerce Contact Data?
Best Price Guarantee We offer a highly competitive pricing model that ensures the best value for high-quality, actionable data.
Strategic Applications Success.ai’s B2B Contact Data supports a variety of business functions:
E-commerce Marketing Campaigns: Use verified contact information to launch targeted campaigns that reach decision-makers in the e-commerce sector. Sales and Outreach: Enhance your sales strategy with direct access to key players in global e-commerce. Talent Acquisition: Identify and engage with e-commerce professionals for roles in marketing, logistics, technology, and operations. Market Insights: Leverage enriched demographic and firmographic data to conduct in-depth market research and refine your strategies. Business Networking: Build connections with professionals and companies driving innovation in the global e-commerce ecosystem.
Enrichment API: Real-time updates to maintain the accuracy and relevance of your contact database. Lead Generation API: Maximize outreach efforts with access to key contact information, enabling up to 860,000 API calls per day.
Data Highlights 170M+ Verified Global Profiles 50M Direct Phone Numbers 700M Total Professional Profiles Worldwide 70M Verified Company Profiles
Use Cases
Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:
Transform your e-commerce strategies today with Success.ai. Gain access to reliable, verified contact data for global e-commerce professionals and unlock unparalleled opportunities for growth and innovation.
No one beats us on price. Period.
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TwitterSuccess.ai’s B2B Marketing Data and Contact Data for Global Marketing Leaders empowers businesses to connect with chief marketing officers (CMOs), marketing strategists, and industry decision-makers worldwide. With access to over 170M verified profiles, including work emails and direct phone numbers, this dataset ensures your outreach efforts reach the right audience effectively.
Our AI-powered platform continuously updates and validates contact data to maintain 99% accuracy, providing actionable insights for marketing campaigns, sales strategies, and recruitment initiatives. Whether you’re targeting CMOs in Fortune 500 companies or strategists in innovative startups, Success.ai delivers reliable data tailored to meet your business goals.
Key Features of Success.ai’s Marketing Leader Contact Data - Comprehensive Coverage Across the Marketing Industry Access profiles for marketing leaders across diverse industries and regions:
Chief Marketing Officers (CMOs): Decision-makers shaping global marketing strategies. Marketing Strategists: Experts driving innovative campaigns and business growth. Digital Marketing Heads: Leaders overseeing digital transformation initiatives. Brand Managers: Professionals managing brand identity and outreach efforts. Content and SEO Specialists: Key contributors to content strategy and visibility.
AI-Validated Accuracy: Industry-leading AI technology ensures every contact detail is verified. Real-Time Profile Updates: Data is continuously refreshed to reflect the most current information. Reliable Engagement: Minimized bounce rates for seamless communication with decision-makers.
API Integration: Seamlessly integrate contact data into your CRM or marketing platforms. Custom Flat Files: Receive datasets customized to your specifications, ready for immediate use.
Why Choose Success.ai for Marketing Data?
Best Price Guarantee We provide the most competitive pricing in the industry, ensuring the best value for global, verified contact data.
Global Compliance and Ethical Practices Our data collection and processing adhere to strict compliance standards, including GDPR, CCPA, and other regional data regulations, ensuring ethical and secure usage.
Strategic Advantages for Your Business
Precise Marketing Campaigns: Create highly targeted campaigns that resonate with marketing leaders. Effective Sales Outreach: Accelerate sales processes with direct access to CMOs and strategists. Recruitment Efficiency: Source top-tier marketing talent with verified contact data. Market Intelligence: Leverage enriched data insights to understand industry trends and optimize strategies. Partnership Development: Build and nurture relationships with influential marketing professionals.
Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 700M Global Professional Profiles 70M Verified Company Profiles
Key APIs for Enhanced Functionality
Enrichment API Keep your contact database updated with real-time enrichment capabilities, ensuring relevance for dynamic outreach efforts.
Lead Generation API Maximize your lead generation campaigns with accurate, verified data, including contact information for global marketing leaders. Our API supports up to 860,000 API calls per day, enabling robust scalability for your business.
Use Cases
Targeted Marketing Campaigns Reach CMOs and marketing strategists with personalized campaigns designed to deliver measurable ROI.
Sales Pipeline Acceleration Engage directly with decision-makers to shorten sales cycles and boost deal closure rates.
Talent Recruitment Identify and recruit top-tier marketing talent to strengthen your team.
Partnership Building Establish meaningful connections with global marketing leaders to foster collaboration.
Strategic Planning Utilize detailed firmographic and demographic insights for data-driven decision-making.
What Makes Success.ai Stand Out?
Success.ai’s B2B Contact Data for Global Marketing Leaders is your ultimate solution for connecting with top-tier marketing professionals. From CMOs driving global strategies to strategists shaping impactful campaigns, our database ensures you reach the right audience to grow your business.
No one beats us on price. Period.
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United States Property & Casualty Insurance: Premium Pricing: Rate Changes by Account Size: Average data was reported at 5.400 % in Dec 2024. This records an increase from the previous number of 5.100 % for Sep 2024. United States Property & Casualty Insurance: Premium Pricing: Rate Changes by Account Size: Average data is updated quarterly, averaging 4.300 % from Dec 2011 (Median) to Dec 2024, with 53 observations. The data reached an all-time high of 11.700 % in Sep 2020 and a record low of -3.900 % in Jun 2016. United States Property & Casualty Insurance: Premium Pricing: Rate Changes by Account Size: Average data remains active status in CEIC and is reported by The Council of Insurance Agents & Brokers. The data is categorized under Global Database’s United States – Table US.RG015: Property & Casualty Insurance: Premium Pricing: Quarter on Quarter Rate Changes.
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TwitterAs of 2024, the average cost of a data breach in the United States amounted to **** million U.S. dollars, down from **** million U.S. dollars in the previous year. The global average cost per data breach was **** million U.S. dollars in 2024. Cost of a data breach in different countries worldwide Data breaches impose a big threat for organizations globally. The monetary damage caused by data breaches has increased in many markets in the past decade. In 2023, Canada followed the U.S. by data breach costs, with an average of **** million U.S. dollars. Since 2019, the average monetary damage caused by loss of sensitive information in Canada has increased notably. In the United Kingdom, the average cost of a data breach in 2024 amounted to around **** million U.S. dollars, while in Germany it stood at **** million U.S. dollars. The cost of data breach by industry and segment Data breach costs vary depending on the industry and segment. For the fourth consecutive year, the global healthcare sector registered the highest costs of data breach, which in 2024 amounted to about **** million U.S. dollars. Financial institutions ranked second, with an average cost of *** million U.S. dollars for a data breach. Detection and escalation was the costliest segment in data breaches worldwide, with **** U.S. dollars on average. The cost for lost business ranked second, while response following a breach came across as the third-costliest segment.
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TwitterSuccess.ai’s Consumer Sentiment Data offers businesses unparalleled insights into global audience attitudes, preferences, and emotional triggers. Sourced from continuous analysis of consumer behaviors, conversations, and feedback, this dataset includes psychographic profiles, interest data, and sentiment trends that help marketers, product teams, and strategists better understand their target customers. Whether you’re exploring a new market, refining your brand message, or enhancing product offerings, Success.ai ensures your consumer intelligence efforts are guided by timely, accurate, and context-rich data.
Why Choose Success.ai’s Consumer Sentiment Data?
Comprehensive Audience Insights
Global Reach Across Industries and Demographics
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Granular Segmentation
Contextual Sentiment Analysis
AI-Driven Enrichment
Strategic Use Cases:
Marketing and Campaign Optimization
Product Development and Innovation
Brand Management and Positioning
Competitive Analysis and Market Entry
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
Customizable and Scalable Solutions
APIs for Enhanced Functionality:
Data Enrichment API
Lead Generation API
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Data Center Market size was valued at USD 71.38 Billion in 2024 and is projected to reach USD 135.48 Billion by 2032, growing at a CAGR of 9.2% from 2026 to 2032.Rising Adoption of Cloud Computing and Virtualization: The shift from on-premise IT infrastructure to cloud computing is a primary catalyst for the data center market. Businesses are increasingly leveraging cloud services for their flexibility, scalability, and cost-effectiveness. This means they are no longer building their own physical data centers; instead, they are renting virtual resources from cloud providers like Amazon Web Services (AWS) and Microsoft Azure.Growing Demand for Data Storage and Processing: The explosion of Big Data and the Internet of Things (IoT) has created an insatiable appetite for data storage and processing power. IoT devices, from smart home gadgets to industrial sensors, generate massive, continuous streams of data that must be collected, processed, and analyzed in real time.
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TwitterAs of 2024, the average cost per stolen record in data breaches worldwide amounted to *** U.S. dollars, up from *** dollars in the previous year. The average cost of a data breach worldwide was **** million U.S. dollars.
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This Cost of International Education dataset compiles detailed financial information for students pursuing higher education abroad. It covers multiple countries, cities, and universities around the world, capturing the full tuition and living expenses spectrum alongside key ancillary costs. With standardized fields such as tuition in USD, living-cost indices, rent, visa fees, insurance, and up-to-date exchange rates, it enables comparative analysis across programs, degree levels, and geographies. Whether you’re a prospective international student mapping out budgets, an educational consultant advising on affordability, or a researcher studying global education economics, this dataset offers a comprehensive foundation for data-driven insights.
| Column | Type | Description |
|---|---|---|
| Country | string | ISO country name where the university is located (e.g., “Germany”, “Australia”). |
| City | string | City in which the institution sits (e.g., “Munich”, “Melbourne”). |
| University | string | Official name of the higher-education institution (e.g., “Technical University of Munich”). |
| Program | string | Specific course or major (e.g., “Master of Computer Science”, “MBA”). |
| Level | string | Degree level of the program: “Undergraduate”, “Master’s”, “PhD”, or other certifications. |
| Duration_Years | integer | Length of the program in years (e.g., 2 for a typical Master’s). |
| Tuition_USD | numeric | Total program tuition cost, converted into U.S. dollars for ease of comparison. |
| Living_Cost_Index | numeric | A normalized index (often based on global city indices) reflecting relative day-to-day living expenses (food, transport, utilities). |
| Rent_USD | numeric | Average monthly student accommodation rent in U.S. dollars. |
| Visa_Fee_USD | numeric | One-time visa application fee payable by international students, in U.S. dollars. |
| Insurance_USD | numeric | Annual health or student insurance cost in U.S. dollars, as required by many host countries. |
| Exchange_Rate | numeric | Local currency units per U.S. dollar at the time of data collection—vital for currency conversion and trend analysis if rates fluctuate. |
Feel free to explore, visualize, and extend this dataset for deeper insights into the true cost of studying abroad!
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“High-Voltage Direct Current (HVDC) Converter Stations – Global Market Size, Average Pricing and Equipment Market Share to 2020” is the latest report from GlobalData, the industry analysis specialists that offer comprehensive information and understanding of the market trends in global HVDC converter station market. The research provides an understanding of the global HVDC converter station market with the market analysis of key countries including Brazil, China, India, the UK, Germany, Norway, Sweden and the US. The research details historic (2006–2012) and forecast data (2013–2020) for HVDC converter station market revenue, annual capacity additions, annual volume, average price, and market share of players for global and key country markets. Additionally, the report also analyses total transmission line length of the countries listed above. The report is built using data and information sourced from primary and secondary research and in-house analysis by GlobalData’s team of industry experts. Read More
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Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.
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United States Property & Casualty Insurance: Premium Pricing: Rate Changes by Line of Business: Average data was reported at 5.400 % in Dec 2024. This records a decrease from the previous number of 5.700 % for Sep 2024. United States Property & Casualty Insurance: Premium Pricing: Rate Changes by Line of Business: Average data is updated quarterly, averaging 4.800 % from Dec 2011 (Median) to Dec 2024, with 53 observations. The data reached an all-time high of 11.300 % in Sep 2020 and a record low of -2.900 % in Jun 2016. United States Property & Casualty Insurance: Premium Pricing: Rate Changes by Line of Business: Average data remains active status in CEIC and is reported by The Council of Insurance Agents & Brokers. The data is categorized under Global Database’s United States – Table US.RG015: Property & Casualty Insurance: Premium Pricing: Quarter on Quarter Rate Changes.
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TwitterGPI pulse™ is a dynamic value, price, and access analytics platform, utilising powerful algorithms to combine multiple data streams in a way that will give you unique insight into the full market access journey.
This powerful platform is designed to be used as part of GPI’s comprehensive solution for pricing and market access strategy, but can also be leveraged to rapidly extract customised sets of analysis-ready data.
GPI pulse™ offers pharmaceutical pricing and reimbursement data across 95+ markets, covering all therapeutic areas. The provision of this data requires real-time, dynamic collation from a multitude of global sources with individual formats and update schedules.
Prices: List price data is stored at pack level. To track all prices from ex-factory to reimbursed prices, GPI also applies a series of calculations to provide a clear view across the supply chain.
Reimbursement: Payer compensation and restrictions applied at pack and product level.
Use Cases: - Quickly view global availability of key competitors or analogues - Access list prices and track prices across the supply chain - Understand how therapies have been restricted in certain markets - Track list price changes over time
GPI continually invest in technology, taxonomy, and quality assurance, to ensure our data is the gold-standard in terms of accuracy, granularity, and timeliness. GPI pulse™ supports the full spectrum of biopharma clients, from top tier pharma to clinical stage biotech. The analytics tools within GPI pulse™ are built specifically with pricing, market access, and commercial strategy teams in mind.
FREE DATA SAMPLES AVAILABLE: - Pricing - Cost of Treatment - Reimbursement and HTA