Track the FAST SIM in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 205011000, IMO: 9356517

A CrowdMonitor will provide the end-user with nearly real-time counts in 1 or more geographical areas for a limited period of time (maximum 10 days). A geographical area is a predefined area of minimum 4 ha and maximum 20 ha. Data are refreshed every 5 minutes to enable users to follow up closely the upcoming or decreasing flux. The main audience for this solution are security and safety services (police, fire brigade) or event organizers. This solution can be used during e.g. fairs, sporting events, festivals. Support is provided during the event (technical issues, understanding of the figures,…). CrowdMonitor uses Mobile telco data. This includes all interactions, all SIM cards, all technologies (2G, 3G, 4G and soon 5G), all cells (indoor, outdoor, micro and femto) and all active users on the Orange Belgium network (Orange Belgium clients and international roaming clients) that can be used for data analysis purposes.

Data Capturing frequency: Every 5 minutes Data Transmission frequency: Every 5 minutes

Simcorp A/S stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Simcorp A/S reported EUR462.39M in Current Assets for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Current Assets including historical, tables and charts were last updated by Trading Economics this last September in 2025.

ABSTRACT OBJECTIVE To analyze the contribution of linkage between databases of live births and infant mortality to improve the completeness of the variables common to the Mortality Information System (SIM) and the Live Birth Information System (SINASC) in Brazilian capitals in 2012. METHODS We studied 9,001 deaths of children under one year registered in the SIM in 2012 and 1,424,691 live births present in the SINASC in 2011 and 2012. The databases were related with linkage in two steps – deterministic and probabilistic. We calculated the percentage of incompleteness of the variables common to the SIM and SINASC before and after using the technique. RESULTS We could relate 90.8% of the deaths to their respective declarations of live birth, most of them paired deterministically. We found a higher percentage of pairs in Porto Alegre, Curitiba, and Campo Grande. In the capitals of the North region, the average of pairs was 84.2%; in the South region, this result reached 97.9%. The 11 variables common to the SIM and SINASC had 11,278 incomplete fields cumulatively, and we could recover 91.4% of the data after linkage. Before linkage, five variables presented excellent completeness in the SINASC in all Brazilian capitals, but only one variable had the same status in the SIM. After applying this technique, all 11 variables of the SINASC became excellent, while this occurred in seven variables of the SIM. The city of birth was significantly associated with the death component in the quality of the information. CONCLUSIONS Despite advances in the coverage and quality of the SIM and SINASC, problems in the completeness of the variables can still be identified, especially in the SIM. In this perspective, linkage can be used to qualify important information for the analysis of infant mortality.

Simcorp A/S reported 2.24K in Employees for its fiscal year ending in December of 2022. Data for Simcorp A/S | SIM - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last September in 2025.

M2M SIM Cards Market Outlook

In 2023, the M2M SIM Cards market size was valued at approximately USD 1.7 billion, and it is projected to reach USD 4.4 billion by 2032, growing at a CAGR of 11.3% during the forecast period. This robust growth is primarily driven by the increasing deployment of Machine to Machine (M2M) communication technologies across various industries, reflecting the trend of digital transformation and automation in processes globally. The demand for connected devices, the proliferation of Internet of Things (IoT) applications, and the rising need for seamless connectivity solutions are fundamental factors contributing to the market expansion. The advent of advanced network technologies such as 5G is also significantly propelling the market, enabling faster and more reliable connections.

One of the pivotal growth factors for the M2M SIM Cards market is the escalating adoption of IoT devices across various sectors. With the exponentially growing number of connected devices, there is an increasing need for reliable and secure connectivity solutions. M2M SIM cards provide a fundamental link for the communication between devices, ensuring data transfer and connectivity. This trend is observed across industries such as automotive, healthcare, and utilities, where the deployment of IoT devices is transforming operations and service delivery. Additionally, the push towards smart city initiatives across the globe is another major contributor, as these projects rely heavily on the connectivity facilitated by M2M SIM cards to integrate various IoT applications.

The automotive industry is another key sector driving the M2M SIM Cards market. The development of connected vehicles, which require consistent and reliable internet connectivity for functionalities such as navigation, infotainment, and emergency services, is significantly boosting the demand for M2M SIM cards. As automotive manufacturers continue to invest in connected car technologies and autonomous vehicles, the requirement for secure and efficient communication solutions is becoming more pronounced. Furthermore, the transportation and logistics sector is utilizing M2M solutions to optimize fleet management, asset tracking, and supply chain operations, further propelling market growth.

The adoption of advanced network technologies, particularly the rollout of 5G, is expected to revolutionize the M2M SIM Cards market. 5G technology offers unprecedented speed and lower latency, which are critical enhancements for the performance of IoT applications. This advancement allows for more robust connections, fostering the deployment of M2M devices in environments that require real-time data processing and decision-making, such as industrial automation and smart cities. As 5G networks become more widespread, the M2M SIM cards market is poised to experience accelerated growth, as it will cater to the increasing demands for high-speed, reliable connectivity across various sectors.

Regionally, Asia Pacific is anticipated to witness substantial growth in the M2M SIM Cards market. The increasing adoption of IoT and connected devices in countries such as China, India, and Japan is a significant driver. Furthermore, the rapid development of smart city projects and government initiatives to promote digitalization are bolstering the market in this region. North America and Europe are also expected to contribute significantly to market growth due to the high penetration of advanced technologies and strong infrastructure for supporting IoT applications. Meanwhile, developing regions in Latin America and the Middle East & Africa are gradually catching up, with increasing investments in technological advancements and infrastructure development.

Type Analysis

The M2M SIM Cards market, categorized by type into Embedded SIM and Removable SIM, is witnessing diverse growth patterns driven by evolving technological preferences and industry applications. Embedded SIMs, also known as eSIMs, are gaining traction due to their ability to offer greater flexibility and convenience in IoT deployments. These SIMs can be reprogrammed over the air, thereby eliminating the need for physical SIM card swapping and allowing for seamless operator change. This feature is particularly advantageous in industries such as automotive and consumer electronics, where devices may be deployed in remote or hard-to-access locations, making it difficult to perform manual SIM changes.

On the other hand, Removable SIMs continue to maintain a significant share of the market, especially in applications where traditional telecommunication methods are sti

Maternal and other factors associated with CS death or CS live infant, Fortaleza–Ceará, 2007–2013.

Grupo Simec Sab De Cv stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Simcorp A/S reported 39.4M in Outstanding Shares in October of 2023. Data for Simcorp A/S | SIM - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Reliance Jio was the leading company with a wireless telecom subscriber base of over 465 million across India as of December 2024. The south Asian country was the second-largest telecom market worldwide. The number of mobile subscribers in India amounted to around 1.15 billion in the same year. The country also achieved a 100 percent digitalization of the cable television network in 2019. Reliance JioReliance Jio is the subsidiary of Jio Platforms, the digital services segment of the Reliance Industries. The company only operates a 5G and LTE network and does not offer 2G or 3G services. Launched in December 2015 as Jio soft, it became publicly available in September 2016. The company is the largest mobile operator in India, and the third-largest network operator in the world. At the end of financial year 2024, the operating revenue of Reliance Jio was around 1.3 trillion Indian rupees. Telecom sector outlookThe telecom equipment sector revenue was estimated to be 3.36 trillion Indian rupees in 2024. The number of internet subscribers has grown more than five times in the last decade. It was estimated, by 2029, the internet users in the country will surpass 1.2 billion.

Simcorp A/S reported EUR156.36M in Current Liabilities for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Current Liabilities including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported EUR36.69M in Debt for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Debt including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported EUR21.6M in Selling and Administration Expenses for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported EUR5.44M in Ordinary Share Capital for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Ordinary Share Capital including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported EUR116.4M in Operating Expenses for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported EUR131.59M in Sales Revenues for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported 1.04 in Dividend Yield for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Dividend Yield including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported EUR37.08M in Trade Creditors for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Simcorp A/S reported EUR10.58M in Net Income for its fiscal quarter ending in June of 2023. Data for Simcorp A/S | SIM - Net Income including historical, tables and charts were last updated by Trading Economics this last September in 2025.