Global Navigation Satellite System (GNSS) real-time 1 to multi-second sampled data available from the Crustal Dynamics Data Information System (CDDIS). Global Navigation Satellite System (GNSS) provide autonomous geo-spatial positioning with global coverage. GNSS real-time data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs) are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure; CDDIS began streaming real-time data from these systems in 2015. The real-time observation data from a global permanent network of ground-based receivers are transmitted from the CDDIS in 1 to multi-second intervals in raw receiver or RTCM (Radio Technical Commission for Maritime Services) format.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

Real‑time Health Data Analytics Market Outlook

According to our latest research, the global real-time health data analytics market size reached USD 16.2 billion in 2024, and is projected to grow at a robust CAGR of 18.4% from 2025 to 2033, reaching an estimated value of USD 80.2 billion by 2033. This substantial growth is primarily driven by the increasing adoption of digital health solutions, the proliferation of connected medical devices, and the rising demand for instant, actionable healthcare insights to improve patient outcomes and operational efficiency worldwide.

One of the primary growth factors fueling the real-time health data analytics market is the rapid digitization of healthcare systems. Hospitals, clinics, and other healthcare providers are increasingly deploying electronic health records (EHRs), wearable devices, and remote monitoring solutions that generate vast volumes of real-time patient data. These technologies enable continuous tracking of vital signs, medication adherence, and other health metrics, allowing clinicians to make timely decisions and intervene early in case of anomalies. The integration of artificial intelligence (AI) and machine learning (ML) algorithms with real-time analytics platforms further enhances the ability to detect patterns, predict adverse events, and personalize treatment plans. As healthcare organizations strive to transition from reactive to proactive care models, the demand for sophisticated real-time analytics solutions is expected to surge.

Another significant driver for the real-time health data analytics market is the increasing emphasis on value-based care and population health management. Governments and payers across the globe are incentivizing healthcare providers to improve quality while reducing costs, which necessitates the use of advanced analytics for tracking patient outcomes, identifying high-risk populations, and optimizing resource allocation. Real-time analytics platforms empower healthcare professionals to aggregate and analyze data from multiple sources, including EHRs, claims, and social determinants of health, providing a holistic view of patient populations. By enabling early identification of trends and gaps in care, these solutions facilitate targeted interventions, reduce hospital readmissions, and support evidence-based decision-making, thereby aligning with the objectives of value-based healthcare delivery.

Moreover, the ongoing COVID-19 pandemic has underscored the critical importance of real-time health data analytics in managing public health crises. Governments and healthcare organizations worldwide have leveraged real-time analytics to monitor the spread of the virus, allocate resources, and optimize vaccination campaigns. The pandemic has accelerated the adoption of telemedicine, remote patient monitoring, and cloud-based analytics platforms, further expanding the scope of real-time data utilization. As the world continues to face emerging infectious diseases and chronic health challenges, the ability to rapidly analyze and act upon real-time health data will remain a strategic priority for both public and private sector stakeholders.

From a regional perspective, North America currently dominates the real-time health data analytics market, accounting for the largest revenue share in 2024, driven by advanced healthcare infrastructure, widespread adoption of digital health technologies, and strong regulatory support for interoperability and data sharing. Europe follows closely, with significant investments in health IT modernization and data-driven healthcare initiatives. The Asia Pacific region is poised for the fastest growth during the forecast period, fueled by expanding healthcare access, increasing government spending on digital health, and a burgeoning population of tech-savvy consumers. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by ongoing healthcare reforms and rising awareness regarding the benefits of real-time analytics in improving care delivery.

Component Analysi

Real Time Data Streaming Tool Market Outlook

The global Real Time Data Streaming Tool market size was valued at approximately USD 10.2 billion in 2023 and is projected to grow at a robust CAGR of 18.5% from 2024 to 2032, reaching an estimated market size of USD 35.3 billion by 2032. The primary growth factor driving this market is the increasing need for businesses to gain quick insights from massive amounts of data to make informed decisions in a competitive landscape.

One of the significant growth factors in the Real Time Data Streaming Tool market is the exponential increase in data generation from various sources such as social media, IoT devices, and enterprise applications. As businesses seek to harness this data to gain real-time insights, the demand for efficient data streaming tools is escalating. Organizations across sectors are recognizing the competitive advantage that real-time data analytics can provide, such as enhancing customer experiences, optimizing operations, and identifying new revenue opportunities.

Another crucial factor propelling growth in this market is the widespread adoption of advanced technologies like artificial intelligence (AI) and machine learning (ML). These technologies rely heavily on data, and the ability to process this data in real-time is paramount for their effective deployment. For instance, in sectors such as healthcare and finance, real-time data processing can lead to improved predictive analytics, fraud detection, and personalized services, thereby driving the adoption of real-time data streaming tools.

The increasing investment in cloud-based infrastructure is also a significant driver for the Real Time Data Streaming Tool market. Cloud platforms offer scalable and flexible solutions that can handle large volumes of data with minimal latency. This is particularly beneficial for small and medium enterprises (SMEs) that may not have the resources to invest in extensive on-premises infrastructure. The shift towards cloud-based solutions is further accelerated by the growing prevalence of remote work, which necessitates efficient and reliable data streaming capabilities.

From a regional perspective, North America is expected to dominate the Real Time Data Streaming Tool market, owing to the early adoption of advanced technologies and the presence of numerous key market players. However, the Asia Pacific region is anticipated to witness the highest growth rate due to rapid digital transformation in emerging economies like China and India, coupled with increasing investments in IT infrastructure. Europe also represents a significant market, driven by stringent data regulations and the growing need for real-time analytics in various industries.

Real Time Analytics is becoming an indispensable tool for organizations aiming to stay ahead in today's fast-paced market environment. By leveraging real time analytics, businesses can analyze data as it is generated, allowing for immediate insights and actions. This capability is crucial for sectors such as finance and healthcare, where timely data-driven decisions can significantly impact outcomes. Real time analytics not only enhances operational efficiency but also enables companies to personalize customer experiences and optimize supply chain processes. As the volume of data continues to grow, the demand for real time analytics solutions is expected to rise, driving further innovation and adoption in the market.

Component Analysis

In the Real Time Data Streaming Tool market, the component segment is broadly categorized into software, hardware, and services. The software segment is expected to hold the largest market share due to the extensive adoption of various data streaming platforms and tools. These software solutions offer a range of functionalities such as data integration, processing, and visualization, which are crucial for real-time analytics. Vendors are continuously enhancing their software offerings with advanced features like AI and ML capabilities, further driving their adoption.

Hardware components, although a smaller segment compared to software, play a critical role in the Real Time Data Streaming Tool market. Specialized hardware solutions, such as high-speed data servers and network accelerators, are essential for managing the substantial volumes of data generated in real-time. These hardware solutions ensure minimal latency and high processing speeds, which are crucial for sectors that rely on i

Ambee’s Global Natural Disaster dataset provides structured, location-specific insights into extreme climate and geophysical events, including floods, wildfires, landslides, storms, cyclones, volcanoes, and tsunamis. Powered by verified sources and cleaned through proprietary pipelines, each event record includes geolocation, category, severity, and impacted area, enabling rapid assessment and downstream automation.

The data is queryable by latitude and longitude, ZIP/postal code, or custom geofenced areas. Real-time alerts help organizations respond faster, while historical archives and climatological layers support exposure modeling, ESG compliance, and scenario planning.

Designed for integration into enterprise systems, Ambee’s disaster data serves insurers, emergency response platforms, logistics networks, and climate risk analysts looking to operationalize resilience.

Global Real Time Data Streaming Tool is segmented by Application (Financial Services, E-commerce, Telecommunications, Healthcare, Manufacturing), Type (Data Ingestion Tools, Stream Processing Engines, Real-Time Analytics Platforms, Event Streaming Platforms, Messaging Systems) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

This places data product gives you direct access to real-time and historical geolocation signals, allowing you to analyze human movement around POIs and custom-defined areas of interest. The Irys Location API lets you query anonymized mobile GPS events using precise polygons, supporting both high-frequency live monitoring and deep historical backfill.

Each data point includes:

Device ID (IDFA/GAID) GPS coordinates (lat/lon) Timestamps (epoch & date) Country codes Horizontal accuracy (85% fill rate) Optional IP addresses, carrier, and device metadata

Irys supports output in Parquet, CSV, or JSON, and offers hourly or daily delivery via API, AWS S3, or Google Cloud. Events are typically available with 95% coverage within a 3-day lag, and historical data goes back to September 2022.

Flexible Features:

Query by polygon (up to 10,000 tiles per query) Credit-based pricing system, scalable from test to production Optional schema customization & delivery folder structure Fully GDPR and CCPA compliant

Real Time Dashboard Market Outlook

The global Real Time Dashboard market size was valued at approximately $12 billion in 2023 and is projected to reach $32 billion by 2032, growing at a CAGR of 11.5% during the forecast period. This robust growth can be attributed to the increasing demand for data-driven decision-making and the proliferation of business intelligence tools. Real-time dashboards are becoming indispensable tools across various industries, facilitating instantaneous data visualization and analytics, which drive operational efficiency and strategic planning.

One of the key growth factors driving the Real Time Dashboard market is the rising importance of data analytics in business operations. Organizations across diverse sectors are increasingly leveraging data to gain insights, automate processes, and enhance decision-making capabilities. Real-time dashboards enable businesses to monitor key performance indicators (KPIs) and other critical metrics instantly, allowing for swift responses to market changes and operational challenges. This immediacy in data access and visualization is vital in today's fast-paced business environment, thereby fueling the market's growth.

Another significant factor contributing to the market's expansion is technological advancements in data visualization and analytics tools. Innovations such as AI and machine learning are being integrated into real-time dashboards, enhancing their analytical capabilities and user experience. These advancements allow more sophisticated data processing, predictive analytics, and intuitive interfaces, making dashboards more accessible and valuable to a broader range of users. As a result, businesses are more inclined to invest in these advanced tools to stay competitive and innovative.

The growing adoption of cloud-based solutions is also a crucial driver for the Real Time Dashboard market. Cloud deployment offers several advantages, including scalability, cost-effectiveness, and accessibility from anywhere with an internet connection. These benefits are especially appealing to small and medium-sized enterprises (SMEs) that might lack the resources for extensive on-premises infrastructure. The flexibility and reduced upfront costs associated with cloud-based dashboards make them an attractive option for businesses looking to quickly implement and benefit from real-time data analytics.

Real-Time Analytics is a transformative force in the Real Time Dashboard market, enabling organizations to process and analyze data as it is generated. This capability is crucial for businesses aiming to maintain a competitive edge in fast-paced environments. By leveraging real-time analytics, companies can make informed decisions swiftly, optimize operations, and enhance customer experiences. The integration of real-time analytics into dashboard solutions allows for the immediate visualization of data trends and patterns, facilitating proactive strategies and timely interventions. As industries continue to prioritize agility and responsiveness, the demand for real-time analytics within dashboard platforms is expected to grow, driving further innovation and adoption.

Regionally, the market outlook varies, with North America leading due to its early adoption of advanced technologies and a high concentration of market players. The Asia Pacific region is expected to witness substantial growth over the forecast period, driven by rapid digital transformation, increasing investments in IT infrastructure, and a burgeoning startup ecosystem. Europe and Latin America also present significant growth opportunities, although at a relatively moderate pace compared to North America and Asia Pacific.

Component Analysis

The Real Time Dashboard market is segmented into three primary components: Software, Hardware, and Services. Each of these components plays a critical role in the overall functionality and appeal of real-time dashboards. The Software segment is pivotal as it encompasses the various applications and platforms that facilitate data visualization and analytics. This segment is poised for considerable growth due to continuous advancements in software capabilities, including AI integration and enhanced user interfaces. Companies are increasingly seeking robust software solutions to handle complex data sets and provide actionable insights in real-time, driving demand in this segment.

Hardware, although a smaller segment compared to software

Sports Data Low-Latency Feed Market Outlook

According to our latest research for 2024, the global sports data low-latency feed market size stands at USD 1.47 billion. The market is experiencing robust growth, propelled by the increasing demand for real-time data delivery across various sports-related applications. The market is set to expand at a CAGR of 18.2% during the forecast period, reaching an estimated USD 6.45 billion by 2033. This growth is primarily driven by the rapid adoption of digital transformation in the sports industry, the surge in sports betting activities, and the proliferation of live streaming and fantasy sports platforms. As per our latest research, the sports data low-latency feed market is positioned for significant evolution, with technological advancements and increasing integration of artificial intelligence playing pivotal roles in shaping the industry landscape.

A major growth factor for the sports data low-latency feed market is the escalating demand for instant access to accurate sports information. With the rise of live sports broadcasting and the surge in in-play betting, stakeholders across the sports ecosystem require ultra-fast data feeds to ensure timely and precise delivery of critical match events, player statistics, and video content. This demand is further amplified by the expectations of modern sports fans, who seek real-time engagement and interactive experiences through various digital platforms. The integration of advanced data analytics and machine learning algorithms has enabled providers to deliver highly reliable and actionable insights, thereby enhancing the value proposition for end-users such as broadcasters, betting companies, and sports leagues. Consequently, the ability to provide low-latency data feeds has become a key differentiator in the competitive sports data market.

The proliferation of sports betting and fantasy sports platforms globally has significantly contributed to the growth of the sports data low-latency feed market. These platforms rely heavily on real-time data to facilitate seamless user experiences, minimize the risk of arbitrage, and ensure regulatory compliance. The legalization of sports betting in several jurisdictions, particularly in North America and Europe, has led to a surge in demand for high-speed, accurate data feeds that support dynamic odds calculation and in-play wagering. Furthermore, the increasing popularity of fantasy sports leagues has created new avenues for data feed providers to deliver comprehensive player statistics, match updates, and video highlights, all in real time. As the competitive landscape intensifies, companies are investing in advanced infrastructure and partnerships to enhance their data delivery capabilities and expand their market presence.

Technological advancements in network infrastructure, such as the deployment of 5G and edge computing, have played a crucial role in driving the sports data low-latency feed market forward. These technologies enable faster data transmission, reduced latency, and improved reliability, which are essential for delivering real-time sports content to a global audience. The adoption of cloud-based solutions has further facilitated scalability and flexibility, allowing stakeholders to manage large volumes of data efficiently and cost-effectively. Moreover, the integration of video analytics and artificial intelligence has opened new possibilities for automated content generation, personalized recommendations, and enhanced fan engagement. As the industry continues to evolve, the convergence of these technologies is expected to unlock new growth opportunities and redefine the standards for real-time sports data delivery.

Regionally, North America dominates the sports data low-latency feed market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of major sports leagues, advanced technological infrastructure, and the rapid adoption of sports betting and fantasy sports platforms have positioned North America as the leading market. Europe is also experiencing significant growth, driven by the increasing popularity of football and the expansion of regulated betting markets. Asia Pacific is emerging as a high-growth region, fueled by rising sports viewership, digital transformation initiatives, and the growing adoption of cloud-based solutions. Latin America and the Middle East & Africa are witnessing steady growth, supported by investments in sports infrastructure and increasing internet penetration. The regional outlook for the mar

This global mobile location data product provides high-accuracy GPS signals across the world region, collected from millions of connected mobile devices through trusted, privacy-compliant sources. It enables analysis of movement trends, POI visitation, and mobility patterns to power commercial, civic, and research applications.

Each record contains: Latitude & Longitude coordinates Event timestamp (epoch & date) Mobile Advertising ID (IDFA/GAID) Horizontal accuracy (~85% fill rate) Country code (ISO3) Optional metadata: IP address, carrier, device model

Access & Delivery API access with polygon queries (up to 10,000 tiles) File formats: JSON, CSV, Parquet Delivery via API, AWS S3, or Google Cloud Storage Updates available hourly or daily Historical backfill to September 2022 Flexible, credit-based pricing model

Privacy & Compliance Fully compliant with GDPR and CCPA, with transparent privacy notices and opt-in/out controls.

Use Cases Retail site selection and market expansion Mobility analysis and transportation planning DOOH / OOH advertising measurement Geofencing for targeted campaigns Urban planning & smart city initiatives Competitive POI visitation benchmarking

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Mexico Real Time Settlement Systems: Volume: SPID data was reported at 211,345.000 Number in Apr 2019. This records an increase from the previous number of 208,257.000 Number for Mar 2019. Mexico Real Time Settlement Systems: Volume: SPID data is updated monthly, averaging 169,451.000 Number from Jul 2017 (Median) to Apr 2019, with 22 observations. The data reached an all-time high of 211,345.000 Number in Apr 2019 and a record low of 132,275.000 Number in Jul 2017. Mexico Real Time Settlement Systems: Volume: SPID data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.KA022: Real Time Settlement Systems.

The total fertility rate of the world has dropped from around 5 children per woman in 1950, to 2.2 children per woman in 2025, which means that women today are having fewer than half the number of children that women did 75 years ago. Replacement level fertility This change has come as a result of the global demographic transition, and is influenced by factors such as the significant reduction in infant and child mortality, reduced number of child marriages, increased educational and vocational opportunities for women, and the increased efficacy and availability of contraception. While this change has become synonymous with societal progress, it does have wide-reaching demographic impact - if the global average falls below replacement level (roughly 2.1 children per woman), as is expected to happen in the 2050s, then this will lead to long-term population decline on a global scale. Regional variations When broken down by continent, Africa is the only region with a fertility rate above the global average, and, alongside Oceania, it is the only region with a fertility rate above replacement level. Until the 1980s, the average woman in Africa could expect to have 6-7 children over the course of their lifetime, and there are still several countries in Africa where women can still expect to have 5 or more children in 2025. Historically, Europe has had the lowest fertility rates in the world over the past century, falling below replacement level in 1975. Europe's population has grown through a combination of migration and increasing life expectancy, however even high immigration rates could not prevent its population from going into decline in 2021.

Mexico Real Time Settlement Systems: Value: SPID data was reported at 15.937 USD bn in Apr 2019. This records a decrease from the previous number of 15.979 USD bn for Mar 2019. Mexico Real Time Settlement Systems: Value: SPID data is updated monthly, averaging 15.958 USD bn from Jul 2017 (Median) to Apr 2019, with 22 observations. The data reached an all-time high of 30.129 USD bn in Jun 2018 and a record low of 10.971 USD bn in Sep 2017. Mexico Real Time Settlement Systems: Value: SPID data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.KA022: Real Time Settlement Systems.

United States Real-time Sahm Rule Recession Indicator: sa data was reported at 0.270 % Point in Apr 2025. This stayed constant from the previous number of 0.270 % Point for Mar 2025. United States Real-time Sahm Rule Recession Indicator: sa data is updated monthly, averaging 0.070 % Point from Dec 1959 (Median) to Apr 2025, with 785 observations. The data reached an all-time high of 9.500 % Point in Jun 2020 and a record low of -0.370 % Point in Sep 2021. United States Real-time Sahm Rule Recession Indicator: sa data remains active status in CEIC and is reported by Federal Reserve Bank of St. Louis. The data is categorized under Global Database’s United States – Table US.S: Real-time Sahm Rule Recession Indicator.

This Central America and the Caribbean location data product captures real-time mobile movement patterns derived from GPS signals emitted by millions of anonymized, consented devices worldwide. With both real-time streams and historical archives, it enables granular tracking of human activity for use in commercial, urban, and research contexts.

Each data point contains: •Device-level pings with anonymized IDs •Timestamps and location accuracy metadata•Optional motion type: walking, driving, stationary •Dwell and trip segmentation logic

This location data enables rich origin-destination analysis, high-resolution mapping, and behavior modeling across public and private domains. It supports applications such as predictive mobility forecasting, advertising attribution, audience segmentation, and risk modeling.

Use it to: •Map commuting routes and transportation mode shifts •Evaluate visitor trends to venues or regions •Measure the impact of physical interventions or events •Analyze market potential across national or regional zones

Designed to integrate easily into map data, mobility data, and geospatial data pipelines, it is API-ready and compatible with cloud platforms, geospatial engines, and business intelligence tools.

Why choose this location data? •24/7 signal collection with continuous updates •Robust anti-fraud filters and noise detection •Compliant with global privacy standards (GDPR/CCPA) •Supports both batch analysis and live applications

Whether for commercial optimization or public sector planning, this mobile location data product provides a critical layer of truth in understanding how people move, when they move, and where they concentrate.