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.

Irys specializes in collecting and curating high-quality geolocation signals from millions of connected devices across the globe. Our real-time and historical foot traffic data is sourced through partnerships with tier-1 mobile applications and app developers. The advanced aggregated location data covers the entire world, providing valuable insights for diverse use-cases that relate to Places Data, Mobility Data, map data, Visits Data, and Real-Time Foot Traffic Data.

Our commitment to privacy compliance is paramount. We ensure that all data is collected in accordance with privacy regulations, accompanied by clear and compliant privacy notices. Our opt-in/out management allows for transparent control over data collection, use, and distribution to third parties.

Discover the power of foot traffic data with Irys – where precision meets privacy.

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.

World birth rate for 2025 is 17.13, a 0.95% decline from 2024.

<ul style='margin-top:20px;'>

<li>World birth rate for 2024 was <strong>17.30</strong>, a <strong>5.9% increase</strong> from 2023.</li>
<li>World birth rate for 2023 was <strong>16.33</strong>, a <strong>1.34% decline</strong> from 2022.</li>
<li>World birth rate for 2022 was <strong>16.56</strong>, a <strong>1.7% decline</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 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 two 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 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

Stop relying on outdated and inaccurate databases and lists and let Wiza be your source of truth for all plastics outreach.

Why we're different: Healthcare Professionals are not easy to get in contact with - Wiza is not a static database that gets refreshed on occasion. Every datapoint is sourced and verified the moment that you receive the information. We verify deliverability of every single email ahead of providing the data, and we ensure that each person in your dataset has 100% data accuracy by leveraging Linkedin Data sourced through their live Linkedin profile.

Key Features:

Comprehensive Data Coverage: Stop contacting the same healthcare professionals as everyone else. Wiza's search fund Data is sourced live, not stored in a limited database. We source the contact data in real-time based on everyone who is currently a plastic surgeon on Linkedin at the time of request.

High-Quality, Accurate Data: Wiza ensures accuracy of all datapoints by taking a few key steps that other data providers fail to take: (1) Every email is SMTP verified ahead of delivery, ensuring they will not bounce (2) Every person's Linkedin profile is checked live to ensure we have 100% job title, company, location, etc. accuracy, ahead of providing any data (3) Phone numbers are constantly being verified with AI to ensure accuracy

Linkedin Data: Wiza is able to provide Linkedin Data points, sourced live from each person's Linkedin profile, including Subtitle, Bio, Job Title, Job Description, Skills, Languages, Certifications, Work History, Education, Open to Work, Premium Status, and more!

Personal Data: Wiza has access to industry leading volumes of B2C Contact Data, meaning you can find gmail/yahoo/hotmail email addresses, and mobile phone number data to contact your plastic surgeons.

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.

Stop relying on outdated and inaccurate company data and let Wiza be your source of truth for all Company Data, Linkedin Company Data, Company Funding Data, Company Headcount Data, etc.

Why we're different: Wiza is not a static B2B Company Database that gets refreshed on occasion. Every datapoint is sourced and verified the moment that you receive the information. We source each company data point live from Linkedin before providing the data, and we ensure that each company in your dataset is 100% accurate.

Key Features:

Comprehensive Data Coverage: Stop contacting the same companies as everyone else. Wiza's company data is sourced live, not stored in a limited database. When you tell us the type of company you would like, we leverage Linkedin Data (the largest source of companies in the world) to find accounts who matches your specifications, and then we source the datapoints in real-time.

High-Quality, Accurate Data: Wiza ensures accuracy of all datapoints by taking a few key steps that other data providers fail to take: (1) Every company's Linkedin profile is checked live to ensure we have 100% accurate and up-to-date data (2) Our companies evolve as new ones are formed and as old ones dissolve. Whatever companies are currently on Linkedin, we have access to.

Linkedin Data & beyond: Wiza provides company data that goes beyond standard datapoints. We have company funding data, company headcount data, company industry data, and 20+ datapoints more, all sourced live from Linkedin. Headcount for example will vary depending on how many employees are under that company's umbrella on Linkedin.

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.

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

UPI in India and Pix in Brazil together reached nearly 200 billion transactions in 2024, making them the largest brands in real-time payments. RTP is especially common in Asia-Pacific. Transactions in India are almost five times higher as in China. Systems in the United States – such as the privately owned Venmo and Zelle in the United States, or the public interbank system of Faster Payments in the UK – are much smaller in comparison. Real-time payments generally have two main characteristics that make them appealing: One, as the name suggests, payments can be initiated and settled almost immediately, allowing consumers, businesses, bank to send and receive money across the world within minutes. Two, these schemes are not bound to the opening times of a bank, and are available “24/7” and 365 days in the year. These traits matter especially to countries with a complex payment market that need to be digitalized.

Irys specializes in collecting and curating high-quality GPS signals from millions of connected devices worldwide. Our Geospatial insights are sourced through partnerships with tier-1 app developers and a unique data collection method. The low-latency delivery ensures real-time insights, setting us apart and providing unparalleled benefits and use cases for Location Data, Mobile Location Data, Mobility Data, and IP Address Data.

Our commitment to privacy compliance is unwavering. All data is collected with clear privacy notices, and our opt-in/out management ensures transparent control over data collection, use, and distribution.

Discover the precision of our Geospatial insights with Irys – where quality meets innovation.

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.

The total fertility rate of the world has dropped from around five 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 five 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.

The world's population first reached one billion people in 1803, and reach eight billion in 2023, and will peak at almost 11 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two thirds of the world's population live in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a decade later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

Stop relying on outdated and inaccurate Linkedin Data and let Wiza be your source of truth for all use cases.

Why we're different: Wiza is not a static Linkedin Data Database that gets refreshed on occasion. Every Linkedin datapoint is sourced the moment that you receive the information. This ensures that each person in your dataset has 100% accuracy by leveraging Linkedin Data sourced through their live Linkedin profile.

Key Features:

Comprehensive Data Coverage: Stop contacting the same people as everyone else. Wiza's Data is sourced live, not stored in a limited database. We can source Linkedin Data from any Linkedin URL, Linkedin Sales Navigator URL, Linkedin Recruiter URL, or even just based on search criteria that you give us.

Linkedin Data: Wiza is able to provide Linkedin Data points, sourced live from each person's Linkedin profile, including Subtitle, Bio, Job Title, Job Description, Skills, Languages, Certifications, Work History, Education, Open to Work, Premium Status, Length of Employment at current role and company, and more!

Data Use-Cases: Wiza's Linkedin Data, B2B Contact Data, B2C Contact Data (personal emails and mobile phone numbers), Email Data, Phone Number Data, and Company Data can be used for a large variety of use-cases. We see startups and Fortune 100 companies leverage the breadth and quality of Wiza's data capabilities.

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)

This derived product set consists of Global Navigation Satellite System satellite and receiver clock products (10-second granularity, daily files, generated daily) from the real-time IGS analysis center submissions available from NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS 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). Since 2011, the CDDIS GNSS archive includes data from 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), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. These clock products are generated from real-time data streams in support of the IGS Real-Time Service. 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. These real-time data are utilized to generate near real-time product streams. The real-time products consist of GNSS satellite orbit and clock corrections to the broadcast ephemeris. These correction streams are formatted according to the RTCM SSR standard for State Space Representation and are broadcast using the NTRIP protocol. The product streams are combination solutions generated by processing individual real time solutions from participating IGS Real-time Analysis Centers (ACs). The effect of combining the different AC solutions is a more reliable and stable performance than that of any single AC's product. This derived product solution is one of the RTS solutions generated by decoding the real-time product streams. These files use the real-time data streams that are referred to the satellite center-of-mass (CoM). These clock products have been provided in support of the IGS Real-Time Service (previously Real-Time Pilot Project) since February 2009, prior to the availability of real-time product streams. This combination is a daily solution available approximately one to three days after the end of the previous UTC day. All satellite and receiver clock solution files utilize the clock RINEX format and span 24 hours from 00:00 to 23:45 UTC.

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.

Real Time Settlement Systems: Volume: SIAC data was reported at 4,104.000 Number in Apr 2019. This records a decrease from the previous number of 4,220.000 Number for Mar 2019. Real Time Settlement Systems: Volume: SIAC data is updated monthly, averaging 22,595.000 Number from Jan 1992 (Median) to Apr 2019, with 328 observations. The data reached an all-time high of 45,524.000 Number in Aug 1994 and a record low of 3,535.000 Number in Apr 2017. Real Time Settlement Systems: Volume: SIAC 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.