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IoT Analytics
Hamburg, Germany
A
11-50 Employees
2014
Key takeaway
IoT Analytics is a leading global provider of market insights, having conducted extensive primary research and developed valuable guidelines that informed high-level discussions within the IoT ecosystem. Their collaborative approach and in-depth analysis have been instrumental in shaping strategic decisions for digital leadership and marketing teams.
Reference
Core business
About IoT Analytics - leading global provider of market insights
Data Ninjas Inc
Dallas, United States
B
11-50 Employees
-
Key takeaway
The company emphasizes its expertise in IoT Analytics, highlighting its commitment to creating data-centric solutions that leverage advanced IoT platforms and analytical tools. Their focus on machine learning and data-driven insights positions them as a valuable partner for organizations looking to enhance their analytics capabilities.
Reference
Product
IoT Analytics | Data Ninjas
Leverage the best of the breed IoT Platforms and build a solid foundation using data wrangling solutions & analytical solutions provided by Data Ninjas.
Edgelytics Solutions Pvt Ltd
Pune, India
D
1-10 Employees
2017
Key takeaway
Edgelytics Solutions Pvt Ltd specializes in end-to-end IoT solutions, encompassing everything from sensors to cloud servers, making it a valuable partner for developing IoT products throughout the entire product development lifecycle. Their IoT Gateway serves as a crucial communication link between various devices and the cloud, facilitating effective data transfer and management.
Reference
Product
IoT Gateway – Edgelytics
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semphos
Newcastle upon Tyne, United Kingdom
A
1-10 Employees
2019
Key takeaway
The company utilizes AWS-IoT for device management, focusing on minimizing costs for millions of devices. They specialize in designing IoT devices using ESP32, covering everything from component selection to PCB design and testing, supported by a team of experts in IoT device development.
Reference
Service
IoT Services
Gaonic
Kfar Saba, Israel
B
1-10 Employees
2014
Key takeaway
Gaonic provides a cloud-based sensor analytic platform specifically designed for the Internet of Things (IoT), enabling faster market entry for connected products through their SaaS solution. Their platform features an inbuilt analytics engine that offers both historical and real-time data insights, addressing the growing demand for innovative IoT solutions.
Reference
Core business
Gaonic
Intelligent-Things
East Hampshire, United Kingdom
A
1-10 Employees
2019
Key takeaway
The company provides a business intelligence platform specifically for the Internet of Things (IoT), offering solutions such as wireless predictive maintenance sensors, which are relevant for various industries including rail, marine, and automotive.
Reference
Core business
Intelligent Things | Internet of Things
BSBI Consulting Solutions
Watford, United Kingdom
A
51-100 Employees
2013
Key takeaway
The company emphasizes its commitment to providing premier Business Intelligence solutions that enhance decision-making and operational management. With a focus on efficiency and productivity, they offer a comprehensive range of services tailored to meet the needs of businesses, making them a reliable partner for IoT Analytics and related technologies.
Reference
Service
IOT Analytics | BSBI Consultancy Solutions
Telenor Connexion
Solna kommun, Sweden
A
51-100 Employees
2008
Key takeaway
Telenor IoT offers advanced IoT analytics tools designed to provide actionable insights from connected devices, empowering users to make data-led decisions that enhance their IoT projects. With over 20 years of experience in the IoT industry, Telenor IoT equips smart city solution providers with the necessary analytics capabilities to unlock the full potential of their IoT deployments.
Reference
Product
IoT Analytics: Empower Your IoT Project with Cutting-Edge Tools | Telenor IoT
Gain actionable insights with Telenor IoT's advanced IoT analytics tools. From standard reports to tailored solutions, unlock the full potential of your IoT project with our suite of analytics services.
Procon Analytics
-
11-50 Employees
2017
Key takeaway
Procon Analytics offers a robust IoT platform that enhances connected car products and services, delivering valuable insights for businesses and consumers.
Reference
Product
IoT Technology | Procon Analytics
Procon's architecture delivers unparalleled business intelligence for companies looking for big data, connected solutions.
GasMetrics
Athens, Greece
B
1-10 Employees
2017
Key takeaway
GasMetrics PC is developing a tailored IoT platform specifically for the gas industry, aiming to disrupt the market with innovative services that enhance connectivity and management.
Reference
Core business
GasMetrics – IoT Platform
Technologies which have been searched by others and may be interesting for you:
IoT Analytics refers to the process of collecting, processing, and analyzing data generated by Internet of Things (IoT) devices. This data can include sensor readings, device statuses, and user interactions, among other metrics. By employing advanced analytics techniques, organizations can derive actionable insights that drive operational efficiencies, enhance decision-making, and improve customer experiences. Utilizing IoT Analytics enables businesses to identify trends, predict maintenance needs, and optimize resource allocation. The insights gained from this analysis can significantly impact various industries, including manufacturing, healthcare, and smart cities, by facilitating data-driven strategies and innovations.
IoT Analytics enhances operational efficiency by providing real-time insights into various processes and systems. By collecting and analyzing data generated from connected devices, businesses can identify inefficiencies and areas for improvement. The ability to visualize data trends enables organizations to make informed decisions quickly, optimizing resource allocation and reducing downtime. Moreover, predictive analytics helps in anticipating maintenance needs, thus minimizing interruptions and extending the lifespan of equipment. This proactive approach ultimately leads to streamlined operations and cost savings.
1. Data Integration
IoT Analytics platforms provide robust capabilities for integrating data from various IoT devices and sources, ensuring seamless data flow for analysis. This feature allows users to gather and consolidate data from sensors, machines, and other connected devices, enhancing the comprehensiveness of insights.
2. Real-Time Processing
These platforms often offer real-time data processing capabilities, enabling organizations to analyze and act on data as it is generated. This ensures timely decision-making and helps in identifying trends or anomalies immediately, which is crucial for optimizing operations.
3. Advanced Analytics
IoT Analytics providers typically include advanced analytical tools such as machine learning and predictive analytics. These tools empower users to derive deeper insights from their data, uncovering patterns and making forecasts that can lead to improved business strategies.
4. Visualization Tools
Effective visualization tools are a staple in IoT Analytics platforms. They enable users to create interactive dashboards and reports that present data in an easily digestible format, facilitating better understanding and communication of insights across teams.
5. Scalability
Many platforms are designed to be scalable, accommodating increasing amounts of data and users as an organization's IoT initiatives grow. This ensures that businesses can adapt and evolve their analytics capabilities without significant investments in new technology.
Data security in IoT Analytics is managed through multiple layers of protection. First, robust encryption methods are employed to safeguard data both in transit and at rest. This ensures that unauthorized parties cannot easily access sensitive information. Additionally, strict access controls are implemented, allowing only authorized personnel to interact with the data. Regular security audits and compliance checks further bolster the security framework, identifying vulnerabilities and ensuring adherence to industry standards. Continuous monitoring of data traffic also helps in detecting anomalies, providing an extra layer of security against potential threats.
1. Manufacturing
The manufacturing industry leverages IoT Analytics to optimize production processes, enhance equipment maintenance, and reduce downtime. By analyzing data from connected machines, manufacturers can identify inefficiencies and improve overall operational performance.
2. Healthcare
In healthcare, IoT Analytics plays a crucial role in monitoring patient health through connected devices. Analyzing this data helps in predicting health issues, improving patient care, and ensuring better resource management within healthcare facilities.
3. Transportation and Logistics
Transportation and logistics companies use IoT Analytics to track vehicle performance, optimize routing, and manage inventory levels. Data-driven insights lead to enhanced supply chain efficiency and reduced operational costs.
4. Smart Cities
Smart city initiatives benefit from IoT Analytics by improving urban planning and infrastructure management. Analyzing data from sensors helps in traffic management, waste management, and energy efficiency, resulting in better quality of life for residents.
5. Agriculture
In agriculture, IoT Analytics assists in precision farming by analyzing soil conditions, weather patterns, and crop health. This data enables farmers to make informed decisions, optimizing yields and resource utilization.
Some interesting numbers and facts about your company results for IoT Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 9032 |
| Amount of suitable service providers | 6473 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2008 |
| Youngest suiting company | 2019 |
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Some interesting questions that has been asked about the results you have just received for IoT Analytics
What are related technologies to IoT Analytics?
Based on our calculations related technologies to IoT Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on IoT Analytics?
The most represented industries which are working in IoT Analytics are IT, Software and Services, Other, Telecommunications, Electronics and Electrical engineering, Consulting
How does ensun find these IoT Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
