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The global installed base of active remote tank monitoring (RTM) solutions reached 7.7 million units at the end of 2022, according to a new research report from the IoT analyst firm Berg Insight.

Growing at a compound annual growth rate (CAGR) of 25.0 percent, the active installed base is estimated to reach 23.5 million units worldwide in 2027. Berg Insight estimates that the European market accounted for more than 1.8 million active RTM systems at the end of 2022. The North American market is estimated to be larger than the European at around 3.2 million active units. The Asia-Pacific market is moreover estimated to represent an installed base of about 1.7 million RTM systems at the end of 2022. South America and Middle East & Africa are smaller markets having installed bases of 385,000 units and 539,000 units respectively.

There are more than 100 RTM solution vendors active on the market worldwide and this report covers 63 companies. Berg Insight ranks Otodata once again as the leading RTM solution provider in terms of the active installed base worldwide with an installed base of about 2.0 million RTM units. Otodata is based in Canada and primarily focuses on the fuel reseller segment in North America. Otodata has so far acquired 3 companies to boost its growth plans: Wise Telemetry in April 2021, Wireless Applications Corporation (WACnGO) in December 2021 and AIUT’s LPG branch in June 2022. Anova and SkyBitz (Ametek) were in second and third place having achieved installed bases of about 1.0 million units and 210,000 units respectively. Anova has done a string of acquisitions including Independent Technologies, Wikon, ISA – Intelligent Sensing Anywhere, iTank (Sierra Wireless) and Silicon Controls to become the second largest RTM solution vendor with more than 2,000 customers in 80 countries. SkyBitz is based in the US and most of its tanks under management can be found in North America and a few in Mexico and other countries. Tank Utility based in the US and German FoxInsights followed in fourth and fifth place and had installed bases of 130,000 and 125,000 tank monitoring systems respectively. Sensile Technologies, Dunraven Systems, Angus Energy, Kingspan and PowTechnology are also ranked among the largest providers with 70,000–100,000 units each.

Other RTM solution providers with installed bases of 22,000–50,000 RTM systems in active use at the end of 2022 include ATEK Access Technologies, Varec, Banner Engineering, FreeWave, GreenCityZen, Gasbot, Insite Platform Partners, SilentSoft, Tecson and Schmitt Industries.

Merger and acquisition activity on this market is just about to commence at the same time as new innovative companies enter the market. Anova and Otodata have been the most ambitious consolidators on the market so far with 5 and 3 acquisitions respectively.

Johan Fagerberg, Principal Analyst, Berg Insight, said:

“Additional companies have recently started to look at in-organic grow opportunities more actively including for instance Rochester Sensors that acquired Tekelek in Q2-2023 and Four Data that picked up the European business unit (excluding Switzerland) of Silentsoft in the same quarter”

Mr. Fagerberg anticipates that the market consolidation of the remote tank monitoring industry will accelerate in the next five years.

Download report brochure: The Global Remote Tank Monitoring Market

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In the labyrinth of technological innovation, the Internet of Things (IoT) stands out as a beacon of connectivity, weaving an intricate tapestry that spans industries and revolutionizes daily life. As a seasoned journalist entrenched in the IT sector, my objective is to unravel the dynamic landscape of IoT trends, all while maintaining the subtlety of my professional background.

Decoding the Dynamics: Evolutionary Trends Shaping the IoT Realm

1. Edge Computing’s Ascension to Prominence

The What: Traditionally, IoT devices relied on centralized cloud computing for data processing. However, the evolving landscape demands a paradigm shift, giving rise to the prominence of edge computing in Internet of Things app development. This decentralized approach involves processing data closer to the source, minimizing latency, and enhancing efficiency. The integration of edge computing is particularly beneficial for Internet of Things app development, as it ensures that data processing occurs in real-time, providing a seamless and responsive experience for users interacting with IoT applications.

The Why: In the realm of autonomous vehicles and smart manufacturing, where real-time data processing is paramount, edge computing emerges as a game-changer. The reduced lag in data transfer ensures quicker response times, a crucial factor for applications requiring split-second decision-making.

2. 5G Unleashing the Full Potential of IoT

The What: The deployment of 5G networks has emerged as a catalyst, propelling Internet of Things into a new era of possibilities. With increased bandwidth and lower latency, 5G facilitates high-speed data transfer, unlocking the potential for previously unthinkable IoT applications.

The Why: Industries ranging from healthcare to smart cities benefit from the capabilities of 5G. Whether it’s powering augmented reality applications in healthcare or optimizing urban infrastructure, the seamless connectivity provided by 5G is reshaping the IoT landscape.

3. Fortifying the IoT Fortress: Enhanced Security Measures

The What: As the number of connected devices proliferates, security concerns become more pronounced, especially in the realm of security testing services. The IoT industry is responding by fortifying its defenses, implementing robust security measures such as end-to-end encryption, secure boot processes, and frequent security updates. The incorporation of security testing services is pivotal in ensuring the resilience of IoT systems against potential vulnerabilities and cyber threats, providing comprehensive assessments to identify and address security gaps in the interconnected network of devices. This proactive approach underscores the industry’s commitment to delivering secure and reliable IoT solutions.

The Why: The rising threat of cyber attacks demands proactive measures. Strengthening security protocols is not only essential to safeguard against potential breaches but also to protect sensitive data traversing the vast network of interconnected devices.

4. AI and ML: The Brainpower Behind Smarter IoT Devices

The What: The infusion of artificial intelligence (AI) and machine learning (ML) into the IoT ecosystem marks a significant evolutionary leap. These technologies empower IoT devices to analyze data, make predictions, and adapt their behavior over time, leading to a new era of intelligent connected devices.

The Why: From smart homes learning occupants’ preferences to industrial machines predicting maintenance needs, the integration of AI and ML amplifies the capabilities of IoT devices. This not only enhances efficiency but also opens doors to personalized user experiences across various applications.

5. Greening the IoT: Sustainability in Development

The What: As the world collectively embraces sustainability, the IoT industry is following suit. A growing focus on eco-friendly practices includes the use of energy-efficient devices, recyclable materials, and leveraging IoT for environmental monitoring and conservation efforts.

The Why: Reducing the carbon footprint of IoT devices aligns with broader environmental goals. Manufacturers embracing green practices not only contribute to a healthier planet but also position themselves as socially responsible entities in the eyes of consumers.

The Path Forward: Charting the Trajectory of IoT

As we peer into the future, the trajectory of Internet of Things continues to unfold with unprecedented potential. The amalgamation of edge computing, 5G connectivity, fortified security, AI-driven intelligence, and sustainability practices positions Internet of Things as a transformative force reshaping our digital landscape.

Conclusion: a Connected Tomorrow

In conclusion, the Internet of Things is not merely a technological phenomenon but a societal shift that transcends boundaries. The trends discussed here are not isolated developments; they converge to shape a connected, efficient, and sustainable future. As Internet of Things matures, the synergy between devices, networks, and data will redefine the very fabric of our existence.

FAQ

1. How does edge computing benefit IoT devices, and in what scenarios is it particularly crucial?
Edge computing minimizes latency by processing data closer to the source, making it crucial for applications demanding real-time data processing. Industries like autonomous vehicles and smart manufacturing benefit significantly from the reduced lag in data transfer, ensuring faster response times.

2. Why is 5G considered essential for the advancement of Internet of Things, and how does it impact specific industries?
The rollout of 5G networks provides increased bandwidth and lower latency, enabling devices to handle more data and perform complex tasks seamlessly. This is particularly impactful for industries such as healthcare, where 5G powers applications like augmented reality, optimizing patient care and diagnostics.

3. How is the Internet of Things industry addressing security concerns, and what measures are being implemented?
It is implementing robust security measures, including end-to-end encryption, secure boot processes, and frequent security updates. These measures are essential to safeguard against cyber threats and protect sensitive data as the number of connected devices continues to grow.

4. In what ways does the integration of AI and machine learning enhance the capabilities of IoT devices?
AI and machine learning empower smart devices to analyze data, make predictions, and adapt their behavior over time. This enhances the intelligence of devices, allowing for applications like personalized insights in healthcare and predictive maintenance in industrial settings.

5. Why is sustainability important in IoT development, and how do manufacturers embrace eco-friendly practices?
The shift towards sustainability in development involves adopting eco-friendly practices, such as energy-efficient devices, recyclable materials, and the use of IoT for environmental monitoring. This aligns with global sustainability goals and enhances the reputation of manufacturers as socially responsible entities.

The post The Unfolding Tapestry of IoT: A Deep Dive into Emerging Trends appeared first on IoT Business News.

The technological landscape is on the cusp of a revolution with advancements in quantum computing and semiconductor technology. Quantum computing promises to surpass the capabilities of classical computing, offering unprecedented processing power, while semiconductor technology continues to be the backbone of modern electronics.

This article explores the future trajectory of these two pivotal technologies and how their evolution might shape our world.

Quantum Computing: The Next Frontier

Quantum computing operates on the principles of quantum mechanics, utilizing qubits instead of classical bits. Unlike bits, which are binary, qubits can exist in multiple states simultaneously, a phenomenon known as superposition. This, coupled with entanglement, another quantum feature, allows quantum computers to process vast amounts of data at speeds unattainable by traditional computers.

Advancements in Quantum Technology: Recent years have seen significant advancements in quantum computing, with companies like Google, IBM, and startups delving into quantum processor development. The goal is to achieve ‘quantum supremacy’, where quantum computers perform computations that are practically impossible for classical computers.

Quantum Algorithms and Applications: Quantum computing is particularly promising in fields requiring complex computation, such as cryptography, drug discovery, and climate modeling. Quantum algorithms, capable of solving specific problems faster than their classical counterparts, are under active development.

Semiconductor Technology: The Core of Electronics

Semiconductors, materials with electrical conductivity between conductors and insulators, are essential in modern electronics. Semiconductor technology has primarily followed Moore’s Law, predicting a doubling of transistors on a microchip every two years, leading to smaller, more powerful, and less expensive devices. As we delve deeper into this realm, it’s becoming crucial to buy capacitors and other essential electronic components that are quantum-ready.

Advancements in Semiconductor Manufacturing: The industry is moving towards smaller nanometer fabrication processes, with 5nm and 3nm chips already in production. This miniaturization allows for more transistors on a chip, enhancing performance and energy efficiency.

New Materials and Designs: Beyond silicon, materials like graphene and silicon carbide are being explored for their superior properties. Additionally, new chip architectures, such as 3D stacking, are being developed to overcome the limitations of traditional planar designs.

Convergence of Quantum Computing and Semiconductor Technology

The intersection of quantum computing and semiconductor technology is an area of intense research and investment.

Quantum Chips and Materials: Quantum computers require specialized quantum chips, often made from materials like superconducting circuits or trapped ions. As semiconductor technology advances, it paves the way for more efficient and scalable quantum chips.

Hybrid Systems: In the near term, hybrid systems combining classical semiconductor-based processors with quantum processors are likely to be prevalent. These systems can leverage the strengths of both technologies for specific applications.

Challenges and Opportunities

Both fields face significant challenges but also present immense opportunities.

Quantum Computing Challenges: Quantum computing is still in its nascent stages, grappling with issues like qubit stability (coherence), error rates, and scalability.

Semiconductor Challenges: For semiconductor technology, continued miniaturization poses physical and technical challenges, including heat dissipation and quantum tunneling at extremely small scales.

Opportunities for Synergy: Research in both fields can benefit each other. Advances in semiconductor technology could lead to more stable and scalable quantum computers, while quantum computing could potentially solve complex problems in semiconductor design and materials science.

The Future Outlook

The future of quantum computing and semiconductor technology is brimming with possibilities.

Quantum Computing: As quantum computing matures, it is expected to have a transformative impact across various sectors, potentially solving problems that are currently intractable.

Semiconductor Technology: The future of semiconductor technology lies in not just continuing miniaturization but also in exploring new materials and architectures to keep pace with the growing demand for computing power.

Collaborative Innovations: Collaborations between academia, industry, and government agencies are crucial for driving innovations in both fields. Such collaborations can accelerate research, development, and the eventual commercialization of these technologies.

Conclusion

The future of quantum computing and semiconductor technology is an exciting and dynamic field, poised to redefine the technological landscape. While challenges remain, the potential for groundbreaking advancements and applications is vast. As these technologies evolve, they will likely open up new horizons in computing, impacting a wide range of fields from material science to artificial intelligence and beyond. The journey towards this future is an interplay of innovation, collaboration, and a continuous quest for pushing the boundaries of what is possible.

The post Exploring the Future of Quantum Computing and Semiconductor Technology appeared first on IoT Business News.

The number of active fleet management systems deployed in commercial vehicle fleets in Europe was 14.8 million at the end of 2022, according to a new research report from the IoT analyst firm Berg Insight.

Growing at a compound annual growth rate (CAGR) of 12.4 percent, this number is expected to reach 26.5 million by 2027. The top-38 vendors have today more than 100,000 active units in Europe.

Berg Insight ranks Targa Telematics as the largest player in terms of active installed base with around 710,000 units at year-end 2022. Weebfleet’s subscriber base has grown both organically and by acquisitions during the past years and the company holds the position as the second largest provider of fleet management solutions on the European market and reached an installed base of about 680,000 units. Verizon Connect is in third place and had achieved an installed base of an estimated 490,000 units at the year-end. Calamp and Radius Telematics follow and have reached 400,000 units and 382,000 units respectively. Scania, ABAX, Gurtam, Bornemann and AddSecure Smart Transport are also ranked among the ten largest providers with 250,000–380,000 units each. Some notable players just outside of the top ten list are MICHELIN Connected Fleet, Geotab, Transics, Quartix, Eurowag Telematics, Viasat, Linqo, Microlise, Daimler Truck, Océan (Orange), Volvo, Macnil, GSGroup, RAM Tracking, MAN, Cartrack, Fleet Complete, Trimble, Optimum Automotive, Shiftmove, AROBS Transilvania Software, Inseego, Infobric Fleet and Mapon. The HCV manufacturers are now growing their subscriber bases considerably thanks to standard line fitment of fleet management solutions. Dynafleet by Volvo, FleetBoard by Daimler Truck and Scania Fleet Management are the most successful with active subscriber bases of 162,000 units, 170,000 units and 379,000 units in Europe respectively at the end of 2022.

The consolidation trend on this market continued in 2023.

Johan Fagerberg, Principal Analyst, said:

“Seven mergers and acquisitions have taken place so far this year among the vendors of fleet management systems in Europe”

In January, Coyote became majority owner of Ubiwan (51 percent). After the change in ownership, the fleet management business of Coyote has now become part of the Ubiwan business. In the same month, Vimcar and Avrios were acquired by Battery Ventures and consequently merged, resulting in a new company called Shiftmove. In February, private equity firm Idico acquired a majority stake in Simpliciti. In May, Targa Telematics acquired Viasat Group. The new larger group will have offices in eight key European countries: Italy, Portugal, Spain, France, the UK, Belgium, Poland and Romania. Mapon acquired CarCops based in Estonia in the same month which will expand the business in the country considerably. Addsecure Smart Transport acquired in October the Clifford Group which includes Traxgo, a Belgium-based company offering systems for tracking of vehicles, machines and equipment. Finally, Powerfleet and MiX Telematics announced in October an agreement to form a combined business which will be branded as Powerfleet. The transaction is expected to close in Q1-2024. Mr. Fagerberg anticipates that the market consolidation of the still overcrowded industry will continue in 2024.

Download report brochure: Fleet Management in Europe

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Berg Insight, the leading IoT market research provider, has in a new market research project found that the global installed base of active construction equipment (CE) OEM telematics systems reached 6.2 million units in 2022.

Growing at a compound annual growth rate (CAGR) of 12.0 percent, the active installed base is forecasted to reach 11.0 million units worldwide in 2027. This includes all CE telematics systems marketed by construction equipment OEMs, either developed in-house or provided by the CE manufacturers in partnership with third-party telematics players.

The European market accounted for around 0.9 million active construction equipment OEM telematics systems at the end of 2022. The North American market is estimated to be somewhat larger than the European. The Rest of World moreover represents more than half of the global installed base of CE telematics systems provided by construction equipment OEMs.

“Most major construction equipment OEMs have introduced telematics offerings for their customers either independently or in collaboration with telematics partners”, said Rickard Andersson, Principal Analyst, Berg Insight.

OEM telematics systems are today commonly factory-installed as standard at least for heavier machines and increasingly also for compact equipment.

“Berg Insight ranks Caterpillar as the clear leader in terms of the number of construction equipment OEM telematics systems deployed worldwide”, continued Mr. Andersson.

He adds that Caterpillar – which is also by far the leading construction equipment manufacturer by market share – has well over 1 million connected assets in the construction equipment segment specifically. Based in the US, Caterpillar’s largest markets for its telematics offerings are North America and Europe.

The runners-up are SANY and Komatsu based in China and Japan respectively, both major players on the respective domestic markets. Komatsu also has relatively large shares of its telematics units in China, North America and Europe.

“Other major players with several hundred thousand active CE telematics units include Sweden-based Volvo Construction Equipment, XCMG in China, JCB headquartered in the UK and Japan-based Hitachi Construction Machinery”, said Mr. Andersson. Deere & Company, HD Hyundai and Doosan Bobcat are also estimated to have reached the milestone of 100,000 units.

“Additional players having installed bases of construction equipment telematics units in the tens of thousands include Liebherr, Terex, JLG Industries, CNH Industrial and Tadano”, concluded Mr. Andersson.

Download report brochure: The Global Construction Equipment OEM Telematics Market

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SoftBank Corp., a telecommunications and IT operator headquartered in Tokyo, and Cubic Telecom Ltd., a leading global provider of software-defined connected vehicle1 solutions headquartered in Dublin, today announced they signed a definitive agreement whereby SoftBank will invest approximately €473 million2 in Cubic Telecom for a 51.0% equity stake3 in the company, at a valuation of over 900 million EUR.

With this investment, SoftBank and Cubic Telecom will form a strategic global partnership to pioneer the future of software-defined connected vehicles and other high-value Internet-of-Things (IoT) assets4 by harnessing the power of global connectivity platforms. Cubic Telecom is a leading global provider of connectivity solutions to automotive, transportation and agriculture original equipment manufacturers (OEMs), and according to McKinsey & Company5, 95% of new vehicles sold globally will be connected by 2030, and connected car use cases alone could deliver 250 billion USD to 400 billion USD in annual incremental value for the ecosystem, with Cubic Telecom poised to capture a leading share of this rapidly growing market.

After the investment closes, Barry Napier will continue to lead Cubic Telecom as CEO and Board Member, and Daichi Nozaki, SoftBank’s Senior Vice President responsible for its global business, and two other SoftBank appointees will join Cubic Telecom’s Board. Three Board seats will continue to be held by Cubic Telecom’s existing shareholders, including CARIAD (Volkswagen Group) and Qualcomm, and with the close of the investment, Cubic Telecom will become a consolidated subsidiary of SoftBank.

Cubic Telecom’s Platform for Application & Connectivity Enablement (PACE) is a testament to the shift towards software-defined solutions and away from the legacy of hardware. The platform allows OEMs to monitor, manage and update many aspects of a vehicle or device in real-time, globally, via mobile connectivity – meaning vehicles can be tailored to the requirements of a country or region while complying with different regulatory mandates. Vehicles and devices can receive new features and functionality over-the-air (OTA) throughout their lifetime, which improves performance, safety, comfort and value to ensure the best user experience. Cubic Telecom has grown rapidly since launching its industry-first connectivity platform in 2016, and through agreements with more than 90 mobile network operators (MNOs), the company currently connects more than 17 million vehicles in over 190 countries and regions, adding 450,000 new vehicles a month, which is expected to increase exponentially over the next 5 years.

Junichi Miyakawa, President & CEO of SoftBank Corp., commented, “In line with our ‘Beyond Japan’ strategic growth initiative, we are extremely pleased to be teaming up with Cubic Telecom to make a full-fledged entry into the fast-growing market for high-value IoT asset connectivity. With its global leadership position, we are convinced Cubic Telecom is the best partner for this opportunity, and we look forward to building connectivity platforms for next-generation social infrastructure.”

“Today’s announcement marks a significant milestone for our team and stakeholders, and we’re excited to partner with SoftBank to pioneer the future of software-defined connectivity,” said Barry Napier, CEO at Cubic Telecom.

“The focus on software rather than hardware means manufacturers can increase the value of a vehicle or device by adding new functionality, over-the-air, which will improve safety, comfort and performance. This, alongside the opportunity AI presents, will open up new collaborations and business models. The opportunities ahead of us are endless.”

Cubic Telecom enables the world’s major automotive, transportation and agriculture OEMs to accelerate digital transformation and better leverage software-defined technologies. The company is also developing cutting-edge services that leverage its platform’s powerful analytics, and as cellular vehicle-to-everything (C-V2X) connectivity continues to be transformative, the partnership between SoftBank and Cubic Telecom will play a leading global role in developing new services and accelerating innovation.

While SoftBank has been providing global IoT connectivity services, mainly in Asia-Pacific markets, in this new strategic partnership with industry leader Cubic Telecom, SoftBank will be able to make a full-fledged entry into the rapidly growing IoT markets for connected cars and software-defined vehicles, giving it access to new revenue generating opportunities. By collaborating with SoftBank, which has an extensive customer base in Japan and other Asia-Pacific countries and regions, Cubic Telecom will gain access to new sales channels to further build on its market leadership position. SoftBank and Cubic Telecom will also explore ways to generate synergies and develop new services, such as utilizing satellite and stratospheric-based Non-Terrestrial Network (NTN)-based solutions that provide seamless connectivity to vehicles and IoT devices in areas that cannot be reached by traditional ground-based networks.

The investment is subject to regulatory approvals in various jurisdictions, and other customary closing conditions, and is expected to close in the first half of 2024.

1 Software-defined connected vehicle: Software-defined connected vehicle is a term that describes a vehicle whose features and functions are primarily enabled through software connected to the Internet. Cubic Telecom’s connectivity platform is embedded in vehicles at the point of manufacture, enabling OEMs to leverage software-defined technologies.
2 Approximately 74.7 billion JPY, converted at 1 EUR = 158.0 JPY.
3 After dilution.
4 Other high-value IoT assets include motorcycles, heavy goods vehicles, commercial fleets, agriculture vehicles, heavy machinery and drones.
5 Source: “Unlocking the full life-cycle value from connected-car data,” McKinsey & Company, February 11, 2021.

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Edge computing has emerged as a transformative technology for the Internet of Things (IoT), fundamentally altering how data is processed and managed within IoT ecosystems. By enabling data processing closer to the source, edge computing significantly enhances IoT infrastructure, leading to improved efficiency, reduced latency, and enhanced security. This article delves into the intricacies of edge computing in the IoT domain, exploring its impact and the potential it holds for the future of IoT.

Introduction to Edge Computing in IoT

The Internet of Things, a network of interconnected devices capable of collecting and exchanging data, has seen exponential growth in recent years. IoT devices range from simple sensors to complex industrial machines. Traditionally, IoT devices would send all collected data to centralized cloud-based services for processing and analysis. However, this approach often leads to high latency and increased bandwidth usage, which can be detrimental in scenarios requiring real-time data processing. This is where edge computing comes into play.

Edge computing refers to data processing at or near the source of data generation, rather than relying solely on a central data-processing warehouse. This means that data can be processed by the device itself or by a local computer or server, which is located close to the IoT device.

Enhanced Efficiency and Reduced Latency

One of the primary advantages of edge computing in IoT is the significant reduction in latency. By processing data locally, the need to send all data to a central cloud for processing is eliminated, thereby reducing the time it takes for the data to be processed and the response to be sent back. This is particularly crucial in applications where real-time processing is essential, such as autonomous vehicles, industrial automation, and smart grids.

Moreover, edge computing reduces the bandwidth required for data transmission, which is particularly important given the growing number of IoT devices and the massive volume of data they generate. By processing data locally and only sending relevant or processed data to the cloud, edge computing alleviates the strain on network bandwidth.

Improved Security and Privacy

Another critical aspect of edge computing in IoT is the enhancement of security and privacy. By processing data locally, sensitive information does not have to travel over the network to a centralized cloud, reducing the exposure to potential security breaches during transmission. Local data processing also means that in the event of a network breach, not all data is compromised, as some of it remains on the local device or edge server.

Furthermore, edge computing allows for better compliance with data privacy regulations, as data can be processed and stored locally, adhering to the legal requirements of the region in which the IoT device is located.

Enabling Advanced IoT Applications

Edge computing unlocks the potential for more advanced IoT applications. For instance, in the field of healthcare, wearable devices can monitor patient health data in real-time, processing and analyzing data on the spot to provide immediate feedback or alert healthcare providers in case of an emergency. In industrial settings, edge computing allows for predictive maintenance of machinery, where sensors can process data on the machine’s performance and predict failures before they occur.

Challenges and Considerations

Despite its advantages, implementing edge computing in IoT comes with its own set of challenges. One of the primary concerns is the management and maintenance of edge computing nodes. Unlike centralized cloud servers, edge devices are distributed and may be located in remote or hard-to-reach areas, making management and maintenance more challenging.

Additionally, ensuring the security of edge computing devices is crucial, as these devices could become targets for cyber-attacks. Unlike centralized data centers, which typically have robust security measures in place, edge devices may not have the same level of security, making them vulnerable.

The Future of Edge Computing in IoT

Looking ahead, the future of edge computing in IoT appears promising. With advancements in technology, edge devices are becoming more powerful, capable of handling more complex data processing tasks. This evolution is expected to drive further adoption of edge computing in various sectors.

In conclusion, edge computing represents a paradigm shift in how data is processed within IoT infrastructures. By enabling data processing closer to the source, it addresses the challenges of latency, bandwidth usage, and security. Although there are challenges in implementing edge computing, its benefits are significant, paving the way for more efficient, secure, and advanced IoT applications. As technology continues to evolve, edge computing is set to play an increasingly pivotal role in the IoT landscape, driving innovation and enabling new possibilities.

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Telit Cinterion, a global enabler of the intelligent edge, and Rutronik, one of Europe’s leading broadline distributors, have seamlessly collaborated since 2007, providing a comprehensive portfolio of IoT products and services.

That robust partnership is now reaching new heights as Rutronik introduces Cinterion’s complete product range to its offerings in the EMEA region. The strategic move enhances Rutronik’s capability to deliver a diverse selection of cutting-edge components, including mobile communication, Wi-Fi, Bluetooth, GNSS positioning modules, SIM solutions, and various cloud services, to meet individual customer requirements more effectively.

After Telit became Telit Cinterion on January 1, 2023, the company expanded its range of secure IoT solutions in the area of modules and mobile connectivity. The additional product portfolio is now added to Rutronik’s linecard. The family-owned company was already the largest distribution partner in the EMEA region and the additional components will further expand this successful partnership. Among other products, components like the compact 5G modem card MV32-W, the IoT module PLS83-W, and the wireless IoT module TX62 are now included.

“Rutronik’s dedication to maintaining substantial stock levels not only solidifies their position as a dependable distribution partner but also underlines their reliability in meeting the diverse and dynamic demands of the market,” said Rene Heckeler, Sales Director of Global Distribution, Telit Cinterion.

“Together, we are poised to continue our joint journey, pushing the boundaries of IoT technology and further enriching the constantly evolving landscape of IoT solutions within the region.”

Tailor-made customer solutions thanks to highly innovative components and expertise

A key component of success is the combination of highly innovative products and expert knowledge. Rutronik’s Field Application Engineers (FAE) work hand in hand with the experts from Telit Cinterion to ensure an excellent consulting service.

“Together, Rutronik and Telit Cinterion have committed to pooling their expertise at both the technology- and employee-level to transform the wireless IoT market in EMEA,” said Jens Rook, Senior Sales Director, Telit Cinterion.

“Through continuous investment in training and skill development, we ensure that our teams offer the latest technological innovations and provide the highest level of service and support to our valued customers across the region.”

Daniel Barth, Senior Manager Product Marketing Wireless at Rutronik, adds: “Our aim is always to act in the interests of our customers and to offer the best solutions that are precisely tailored to their needs. With the combination of highly innovative components from Telit Cinterion, our expertise, and our services, we achieve exactly that. We are convinced that by expanding our product portfolio, we will continue to write our success story by offering our customers a comprehensive range of first-class wireless hardware, mobile contracts, and cloud services.”

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Businesses are using the Internet of Things (IoT) more and more these days to make the most of the data from various different connected devices. And this data can be especially useful for improving Search Engine Optimization (SEO). By using insights from IoT devices, as a business you can update your SEO strategies, get to know how users behave and what they like, helping to create a better and more personalised online experiences. Read on to find out more about this.

Understanding IoT Data

IoT devices ranging from everything from smart thermostats to wearable fitness trackers, and they churn out a whole lot of data. The masses of information provides a goldmine for businesses looking to refine their SEO tactics, but it’s not just about the quantity of data. Itt’s all about extracting meaningful insights that can steer your SEO efforts in the right direction.

User Behavior Insights

One of the main benefits of leveraging IoT data is the ability to gain a better understanding of user’s behaviour. Analysing how users interact with connected devices can reveal patterns, preferences, and pain points. For instance, if your target audience predominantly accesses your website through a smart home device, tailoring your content to align with voice searches is an obvious change. Knowing the preferred device or time of day for user engagement allows for better optimisation.

Personalisation

Personalised experiences resonate with users. IoT data enables businesses to deliver content that aligns with individual preferences. Imagine a scenario where a user regularly accesses your website via a wearable fitness tracker. Armed with insights into the user’s fitness routine, preferences, and health goals, you can tailor content to offer relevant tips, product recommendations, or exclusive fitness-related promotions. This level of personalisation not only enhances user engagement but also contributes positively to SEO metrics.

Refining Keyword Strategies

Understanding the language users employ when interacting with IoT devices can help with your keyword strategies. Voice searches are a common feature in many IoT devices, and often differ in structure from traditional text based searches. Incorporating conversational and long tail keywords can optimise your content for these voice activated queries, making sure that your website remains visible in search results. Have an SEO expert help with this if you’re not sure which keywords to target.

Enhancing Website Performance

IoT devices are often characterised by having fairly limited processing power, so emphasise the importance of a fast and responsive website. Google considers page speed a crucial ranking factor, and a quick loading website will always contributes to that positive user experience you’re after. By analysing data from IoT devices, as a business you can identify potential bottlenecks or elements that are slow to load, which then allows you to target improvements that can positively impact your SEO rankings.

Security

When you’re embracing IoT data for improvements with your SEO, you must always prioritise security. Both SEO and user trust hinge on a secure online environment. Google favours secure websites, and users are more likely to engage with a platform that safeguards their data. Implementing robust security measures makes sure that there’s a win-win scenario, with improved SEO rankings and user’s confidence being boosted too.

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Low-cost, solar-powered satellite tracker designed for remote IoT operations and off-grid tracking of assets.

Globalstar, Inc., the next-generation international telecommunications infrastructure and technology provider, today announced that it has added GSatSolar to its portfolio of industrial IoT asset tracking solutions.

Offered in partnership with Global Satellite Engineering (GSE), the small, rugged, low-cost tracking device enables VARs and customers to maximize the value of their tracking software tools by increasing the number of trackable assets in near-real time.

Ideal for remote IoT operations, the satellite powered device allows for a greater number of trackable assets, providing more reliable usable data in the field, improving efficiency, and allowing for true remote IoT autonomous data collection.

“GSatSolar is a low-cost option to monitor assets remotely on the Globalstar LEO network and delivers a plethora of verified IoT data across IoT applications,” said Jake Rembert, vice president of sales at Globalstar.

“The GSatSolar is a versatile solution that expands our satellite tracking capabilities. As with all our IoT asset tracking solutions, it features low power, long life and is equipped to perform.”

GSatSolar is highly durable, heat and cold resistant, and minimally invasive regarding antenna performance. Its compact size makes it viable with several flexible mounting options to fit the needs across various enterprise industrial applications. With its solar panel and internal battery, a standard unit reports for years assuming an environment with regular sun exposure.

Data collection capabilities include location, accelerometer, and Bluetooth sensor options, with the option of having data forwarded either to Globalstar’s SPOT My Globalstar data management and mapping platform — with features such as live and historical tracking on demand, alerts, geofences and shared views—or directly to a VAR’s back office or customer endpoint.

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