#IoT Node and Gateway

[semiconductorsandelectronics]

IoT Node and Gateway Market Size by Hardware (Processor, Connectivity IC, Sensor, Memory, Logic Devices), End-use Application (Consumer Electronics, Building Automation, Automotive & Transportation, Wearable Devices, Retail) and Region - Global Forecast to 2029

[global-research-report]

Trends in the IoT Node and Gateway Market 2023 - 2030

The global IoT node and gateway market size is expected to reach USD 1.13 trillion by 2030, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 13.1% from 2023 to 2030. The market's growth is primarily fueled by the advent of 5G technology, the increasing utilization of wireless smart sensors and networks, a burgeoning market for connected devices, and the rising demand for data centers driven by the growing adoption of cloud platforms. For instance, in August 2023, Intel Corporation launched its new leading-edge chip factories at its Ocotillo campus in Chandler, Arizona. The new factories will support the growing demand for Intel’s products and provide committed capacity for Intel Foundry Services customers, thereby driving market growth over the forecast period.

The growing need for data-driven insights and automation drives the increased demand for connected devices. In sectors like healthcare, the Internet of Things (IoT)-enabled medical devices can monitor patients' vital signs in real time, providing doctors with accurate and timely information for diagnosis and treatment. In agriculture, field sensors can collect data on soil moisture, temperature, and nutrient levels, enabling farmers to make informed decisions about irrigation and fertilization.

IoT devices and gateways often operate in remote or challenging environments where wired connections are impractical. 5G’s broader coverage and improved penetration capabilities ensure that even devices in difficult-to-reach areas can stay connected, enabling applications like smart agriculture, environmental monitoring, and wildlife tracking. 5G mMTC (Massive Machine-Type Communications) capability allows for the seamless connection of many IoT devices within a small geographical area.

Manufacturing industries are embracing IoT nodes and gateways to create smarter factories with real-time monitoring of equipment and production lines, optimizing efficiency and reducing downtime. The need for real-time data processing has led to the adoption of edge computing. IoT gateways play a pivotal role by performing data preprocessing at the edge, reducing latency, and enhancing overall system responsiveness.

North America has been at the forefront of technological innovation, with a robust ecosystem of tech companies, startups, and research institutions. This environment has fostered the development of innovative IoT solutions, making it an ideal market for adoption. The region has quickly embraced emerging technologies such as 5G, edge computing, and AI, which are essential for IoT deployments. In January 2023, Cisco Systems Inc. extended its collaboration with the Grand Duchy of Luxembourg. The aim of this collaboration is to continue to support Digital Luxembourg, the Grand Duchy’s long-term digitalization movement.

IoT Node And Gateway Market Report Highlights 

North America has solidified its position as a key hub for IoT innovation and adoption, due to the advancing technological infrastructure, strong investment in IoT solutions across various industries, and a thriving ecosystem of IoT-related companies

Advancements in microelectronics have led to smaller, more power-efficient IoT nodes. This enables seamless integration into various devices and environments while extended battery life reduces maintenance needs

The growth of smart homesworldwide has been a remarkable phenomenon in recent years. Smart homes are equipped with advanced technology that enables homeowners to control their home systems remotely

The key industry players are Intel Corporation, Cisco Systems, Inc., Huawei Technologies Co. Inc., and NXP Semiconductors, among others. To maintain market share, major firms frequently engage in mergers and acquisitions as well as new product launches

IoT Node And Gateway Market Segmentation

Grand View Research has segmented the IoT node and gateway market based on component, connectivity, end-use, and region:

IoT Node & Gateway Component Outlook (Revenue, USD Billion, 2018 - 2030)

Hardware

Connectivity Integrated Circuits (ICs)

Logic Devices

Memory Devices

Processors

Sensors

Temperature Sensors

Motion Sensors

Light Sensors

Others

Software

Services

IoT Node & Gateway Connectivity Outlook (Revenue, USD Billion, 2018 - 2030)

ZigBee

Wi-Fi

Bluetooth

Z-Wave

Others

IoT Node & Gateway End-use Outlook (Revenue, USD Billion, 2018 - 2030)

Consumer Electronics

Wearable Devices

Automotive & Transportation

BFSI

Healthcare

Retail

Building Automation

Oil & Gas

Agriculture

Aerospace & Defense

Others

IoT Node & Gateway Regional Outlook (Revenue, USD Billion, 2018 - 2030)

North America

US

Canada

Europe

Germany

UK

France

Italy

Spain

Asia Pacific

China

Japan

India

South Korea

Latin America

Brazil

Mexico

Middle East and Africa

South Africa

UAE

Order a free sample PDF of the IoT Node And Gateway Market Intelligence Study, published by Grand View Research.

[chandupalle]

IoT Node and Gateway Market Size & Share | Industry Report, 2023-2027

The IoT node and gateway market was valued at USD 387.1 billion in 2020 and is projected to reach USD 566.4 billion by 2027; it is expected to grow at a compound annual growth rate (CAGR) of 6.7% from 2021 to 2027.

The key factors driving the growth of the IoT node and gateway industry include emergence of 5G technology, growing use of wireless smart sensors and networks, growing market for connected devices, increasing necessity of data centers due to rising adoption of cloud platforms, and others.

Connectivity IC segment to account for the largest share of IoT node and gateway market during the forecast period

On the basis of Hardware, the IoT node and gateway market has been segmented into processor, sensor, connectivity IC, memory device, and logic device. the connectivity IC segment held the largest share of the overall IoT node and gateway market, in terms of volume. The increasing demand for better edge devices connectivity and significant developments in low-power connectivity technologies, such as Wi-Fi, Bluetooth, and Bluetooth Low Energy (BLE), are the key factors supporting the growth of the connectivity IC segment.

Consumer application to account for the largest share of IoT node and gateway market during the forecast period

Based on end-use application, the IoT node and gateway market has been segmented into industrial and consumer. Consumer application held the largest share of the overall IoT node and gateway market to during the forecast period. With the evolution of a number of consumer appliances that can connect to the Internet and smartphones, the growth of IoT technology in the consumer electronics segment is expected to receive a boost.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=248007097

APAC is expected to register the highest growth of IoT node and gateway market during the forecast period

APAC is expected to register the highest growth in the IoT node and gateway market during the forecast period from 2021 to 2027. The growing penetration of the internet across commercial as well as residential spaces, broad consumer base, increasing disposable income, and improving IT infrastructure are some of the key determinants supplementing the growth of the IoT node and gateway market in APAC. Moreover, the adoption of cloud-based services and rising trend of industrial automation are the key growth drivers for the IoT node and gateway market for commercial applications in countries such as China, South Korea, and Japan.

About MarketsandMarkets™

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem.Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research.The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook

[sscardinal7]

Live stream happened, and we got some designs revealed! As well as a couple of information, but not anything major.

Miss conductor, not much of a surprise (but miss girl looks gorgeous as always)

And Node, who is sort of the main antagonist.

I made a prediction before, and April 21 hit,.. so I believe it is well due for an update by now.

While we did not receive nearly as much information as we were anticipating, a design still reveals much on the character itself when going through the lens of a general analysis. In this context, their abilities and name aid significantly in the status and essential depths of their character.

With what I can gather in my research, nodes play an important role in networking because they are the building blocks of a network, precisely the gateway for connection, direction, sending, creating, receiving, and storing data. It requires only software to connect to the network, and it can be run by completely anyone. Applying this knowledge with concept arts of the game and overall worldbuilding of the series itself—everything becomes a lot clearer.

So now, how can we apply this to Node?

Node's name is simple in itself, and it connects to their design as well. They are quite literally made up of nodes. One in their head and the other in their limbs. Their body is translucent.

Network nodes are categorical. Thanks to DJ, we got a helpful hint that incredibly reduced their types to a digestible and simpler layout.

Their name starts with i.

There are countless forms and types of nodes, the hint condensed it down to 2 answers, both starting with the letter “i”

Intermediate nodes

These include devices like routers and switches that help direct data to the correct destination while also receiving it. They don't originate or terminate data but instead pass it along to where it needs to go.

IoT nodes

loT (Internet of Things) Nodes serve as devices that establish connectivity to the Internet via a gateway, effectively enabling the integration of the physical world into the vast realm of the Internet. Within an loT ecosystem, these nodes function as crucial components for bridging the gap between the physical and virtual worlds. Taking charge of managing the entire loT system.

We had seen this ability before vía King's icons' staff, in which it only sucked in Minecraft mobs due to the strong force being their obligatory origin, overriding the game itself due to the overlapping icons.

In regards to King, he used this ability for the very destruction of the game itself, down to the code, reducing it to nothing but.. nothing for the sake of vengeance. Or at least what would have occurred if he did succeed.

way to go CG! Give credit where it's due

Despite this being marked with the intention of erasion and minimization, I think it's safe to group this as receiving and storing data. The two icons combined created a horrifically dramatized version of the force with storing and receiving, which created an incredibly overpowered demolishing force.

In Chosen, we had seen this ability before as well, as the constellations are seen right as he creates the gateway from the Outernet, which sounds awfully familiar. This is what you would refer to as an "extension to the digital world"

I think I can be able to safely group this to direction and creation.

From how I see it, it seems as though it's quite diverse in a fictional worldbuilding sense within characters.

And obviously, it won't be the last time we would see it. It seems as though we would be exploring this quite a lot.

In their cameo, Node is in an assumed line-up with all the major series antagonists.

But if you’re asking me, it seems as though our iconic antagonists appear to be rather victims of Node. Menacingly behind them, their abilities floating not far behind as they're stuck in a swampy substance. But that's just me.

Node's entire antagonistic ordeal is beyond my grasp, but I'm assuming their abilities and attacks surrounds the embodiment of network topology, which would mold and diverse into the connections of nodes. They possibly intend to screw up with the gateways that are responsible for the receiving, directing, and sending of data between various devices through communication links that are defined as network—with the basic visuals of concept art we were given.

(The gateway, ethernet tunnels, the train cough cough)

Node's goal and story behind that destruction remains anonymous, as the writing is still in early development. Regardless, food for thought.

[harisharticles]

Edge Computing and Fog: Reducing Latency for Smarter Systems

As we approach 2025, the digital ecosystem is experiencing a shift toward decentralization, driven by real-time processing demands and the explosion of data. Technologies like Edge Intelligence, Edge Computing, and Fog are no longer working in silos. Instead, they’re merging into a unified architectural vision, shaping how data is processed, transferred, and utilized closer to where it's generated. This convergence is pivotal for sectors ranging from smart cities and manufacturing to healthcare and autonomous transportation.

Understanding Edge Intelligence Edge Intelligence brings AI and machine learning directly to edge devices, reducing latency and enabling faster decision-making. It empowers smart sensors, cameras, and IoT nodes to interpret and act on data without the need to send it back to centralized servers. This localized intelligence supports predictive analytics, anomaly detection, and automation at the edge, critical for mission-critical operations that demand speed and accuracy.

How Edge Computing Powers Real-Time Action Edge Computing refers to processing data at or near the source of generation. Unlike traditional cloud computing, which centralizes data handling, edge computing disperses computation to minimize delays and bandwidth usage. It supports applications like autonomous vehicles, AR/VR, and industrial automation where milliseconds matter. By reducing dependency on central servers, edge computing creates a resilient framework for continuous operations.

The Role of Fog in Distributed Architecture Fog computing sits between edge devices and the cloud, acting as an intermediate layer that filters, processes, and routes data. It complements edge computing by handling tasks that are too resource-intensive for edge nodes but not necessarily requiring full cloud capabilities. Fog nodes often reside on gateways, routers, or local servers and are instrumental in managing real-time analytics, security, and data orchestration across complex networks.

Why Convergence Matters in 2025 The unified vision of Edge Intelligence, Edge Computing, and Fog addresses the demand for faster data handling, reduced latency, and more secure infrastructures. Their convergence ensures a seamless data flow from devices to processing units to actionable insights, whether locally or across distributed networks. By aligning their roles, organizations can optimize performance, reduce costs, and build scalable systems that are responsive and agile.

Key Applications Across Industries In healthcare, edge intelligence enables real-time monitoring and diagnostics through wearable tech and connected devices. Manufacturing uses fog nodes to coordinate robotic systems and quality control processes. Smart cities benefit from reduced traffic congestion and improved energy usage through edge-based analytics. These technologies also support retail personalization, defense automation, and agriculture precision farming, marking their presence in nearly every sector.

Challenges and Considerations Despite their potential, integrating these technologies poses challenges such as standardization, interoperability, and data governance. Security remains a major concern, especially when deploying AI at the edge. There is also the need for investment in infrastructure, skilled talent, and scalable frameworks that support updates and learning across decentralized environments.

The Future Outlook By 2025, the combined power of Edge Intelligence, Edge Computing, and Fog is expected to be foundational in next-gen digital infrastructures. As AI models grow more efficient and edge devices become more powerful, we will see even greater autonomy in systems. Hybrid models that intelligently distribute workloads across edge, fog, and cloud layers will dominate IT strategies. This layered architecture will allow real-time operations to scale sustainably while staying cost-effective and secure.

For More Info https://bi-journal.com/edge-intelligence-and-fog-architecture/

Conclusion The fusion of Edge Intelligence, Edge Computing, and Fog represents a turning point in how organizations design and deploy digital solutions. This unified approach addresses both performance and scalability needs for a data-intensive future. As industries adapt to more connected ecosystems, embracing this triad will be critical for staying competitive, efficient, and resilient in 2025 and beyond.

[winklix]

Edge-Native Custom Apps: Why Centralized Cloud Isn’t Enough Anymore

The cloud has transformed how we build, deploy, and scale software. For over a decade, centralized cloud platforms have powered digital transformation by offering scalable infrastructure, on-demand services, and cost efficiency. But as digital ecosystems grow more complex and data-hungry, especially at the edge, cracks are starting to show. Enter edge-native custom applications—a paradigm shift addressing the limitations of centralized cloud computing in real-time, bandwidth-sensitive, and decentralized environments.

The Problem with Centralized Cloud

Centralized cloud infrastructures still have their strengths, especially for storage, analytics, and orchestration. However, they're increasingly unsuited for scenarios that demand:

Ultra-low latency

High availability at remote locations

Reduced bandwidth usage

Compliance with local data regulations

Real-time data processing

Industries like manufacturing, healthcare, logistics, autonomous vehicles, and smart cities generate massive data volumes at the edge. Sending all of it back to a centralized data center for processing leads to lag, inefficiency, and potential regulatory risks.

What Are Edge-Native Applications?

Edge-native applications are custom-built software solutions that run directly on edge devices or edge servers, closer to where data is generated. Unlike traditional apps that rely heavily on a central cloud server, edge-native apps are designed to function autonomously, often in constrained or intermittent network environments.

These applications are built with edge-computing principles in mind—lightweight, fast, resilient, and capable of processing data locally. They can be deployed across a variety of hardware—from IoT sensors and gateways to edge servers and micro data centers.

Why Build Custom Edge-Native Apps?

Every organization’s edge environment is unique—different devices, network topologies, workloads, and compliance demands. Off-the-shelf solutions rarely offer the granularity or adaptability required at the edge.

Custom edge-native apps are purpose-built for specific environments and use cases. Here’s why they’re gaining momentum:

1. Real-Time Performance

Edge-native apps minimize latency by processing data on-site. In mission-critical scenarios—like monitoring patient vitals or operating autonomous drones—milliseconds matter.

2. Offline Functionality

When connectivity is spotty or non-existent, edge apps keep working. For remote field operations or rural infrastructure, uninterrupted functionality is crucial.

3. Data Sovereignty & Privacy

By keeping sensitive data local, edge-native apps help organizations comply with GDPR, HIPAA, and similar regulations without compromising on performance.

4. Reduced Bandwidth Costs

Not all data needs to be sent to the cloud. Edge-native apps filter and process data locally, transmitting only relevant summaries or alerts, significantly reducing bandwidth usage.

5. Tailored for Hardware Constraints

Edge-native custom apps are optimized for low-power, resource-constrained environments—whether it's a rugged industrial sensor or a mobile edge node.

Key Technologies Powering Edge-Native Development

Developing edge-native apps requires a different stack and mindset. Some enabling technologies include:

Containerization (e.g., Docker, Podman) for packaging lightweight services.

Edge orchestration tools like K3s or Azure IoT Edge for deployment and scaling.

Machine Learning on the Edge (TinyML, TensorFlow Lite) for intelligent local decision-making.

Event-driven architecture to trigger real-time responses.

Zero-trust security frameworks to secure distributed endpoints.

Use Cases in Action

Smart Manufacturing: Real-time anomaly detection and predictive maintenance using edge AI to prevent machine failures.

Healthcare: Medical devices that monitor and respond to patient data locally, without relying on external networks.

Retail: Edge-based checkout and inventory management systems to deliver fast, reliable customer experiences even during network outages.

Smart Cities: Traffic and environmental sensors that process data on the spot to adjust signals or issue alerts in real time.

Future Outlook

The rise of 5G, AI, and IoT is only accelerating the demand for edge-native computing. As computing moves outward from the core to the periphery, businesses that embrace edge-native custom apps will gain a significant competitive edge—pun intended.

We're witnessing the dawn of a new software era. It’s no longer just about the cloud—it’s about what happens beyond it.

Need help building your edge-native solution? At Winklix, we specialize in custom app development designed for today’s distributed digital landscape—from cloud to edge. Let’s talk: www.winklix.com

[bliiot]

Integrating ARMxy SBC with InfluxDB for Time-Series Monitoring

In the world of Industrial IoT (IIoT), the ability to efficiently monitor, store, and analyze large volumes of time-stamped data is essential. From environmental sensors in smart factories to energy meters in power systems, time-series data forms the backbone of real-time insight and historical analysis.

InfluxDB, an open-source time-series database, is designed specifically for these use cases. Combined with the industrial-grade ARMxy Edge Gateway, it creates a robust edge solution for reliable data acquisition, storage, and visualization—all without depending on cloud availability.

🧠 Why InfluxDB on ARMxy?

InfluxDB is lightweight, high-performance, and optimized for time-series workloads. It supports powerful query languages, retention policies, and integrations with monitoring tools such as Grafana. When deployed directly on an ARMxy (RK3568J/RK3568B2) gateway, it becomes a local data engine with key advantages:

Minimal latency: Store and query data at the edge

Offline reliability: Operate without cloud or internet connection

Flexible integration: Compatible with Modbus, OPC UA, MQTT, and more

🏭 Real-World Use Case Example

Imagine a factory floor with multiple PLCs controlling machinery. Each PLC sends temperature, vibration, and power consumption data every few seconds. Instead of sending that data to a remote server, it can be ingested directly into InfluxDB running on the ARMxy device.

You can then use:

Telegraf for parsing and collecting metrics

Grafana for local visualization dashboards

Node-RED to add logic and alarms

The result? A self-contained edge monitoring system capable of showing trends, detecting anomalies, and buffering data even during connectivity drops.

🔗 Integration Workflow Overview

Install InfluxDB on ARMxy via Docker or native ARM64 package

Connect data sources: Modbus devices, MQTT brokers, etc.

Configure retention policies to manage local storage

Use Grafana (also installable on ARMxy) to build dashboards

(Optional) Forward selected metrics to cloud or central server for backup

✅ Benefits of Edge Time-Series Monitoring

Faster Insights: No need to wait for data to hit the cloud

Bandwidth Optimization: Only send essential data upstream

Improved System Resilience: Data remains accessible during downtime

Security & Compliance: Sensitive data can stay on-premises

🔚 Conclusion

Deploying InfluxDB on ARMxy Edge Gateways transforms traditional data loggers into intelligent local data hubs. With flexible integration options, support for real-time applications, and a compact industrial design, ARMxy with InfluxDB is a perfect fit for smart manufacturing, energy monitoring, and any IIoT scenario that demands fast, local decision-making.

Let the data stay close—and smart.

[t2mip]

USB 3.2 Gen1, Gen2 PHY Controller IP Cores

T2M-IP, a global specialist in semiconductor IP solutions, highlights its USB 3.2 Gen1 and Gen2 IP Core, a complete, production-proven PHY and Controller solution supporting 5Gbps and 10Gbps data transfer. Designed for performance, flexibility, and low power, this IP cores supports multi-lane operation and is optimized for a wide range of high-speed interface applications across consumer, automotive, and industrial domains.

Fully compliant with the USB 3.2 specification, the IP cores support Host, Device, OTG, Dual-Role, and Hub configurations. It is also USB Type-C compatible, enabling seamless integration into USB-C-based designs, including support for dual-role functionality and alternate mode readiness.

With the increasing adoption of USB Type-C and higher bandwidth peripherals, SoC designers are under pressure to deliver robust USB performance while minimizing power and area. T2M-IP’s USB 3.2 IP stands out by offering a unified, scalable solution that supports diverse use cases—from compact wearables and smartphones to high-throughput automotive infotainment and industrial control systems. Its adaptability across roles and applications makes it an ideal choice for future-proof designs.

Key Features of T2M-IP's USB 3.2 IP cores include:

High-Speed USB 3.2 Support: Compliant with Gen1 (5Gbps) and Gen2 (10Gbps), with support for multi-lane operation to boost throughput.

Flexible USB Roles: Highly configurable for Host, Device, OTG, Hub, and Dual-Role applications.

Type-C Integration Ready: Supports key USB Type-C features, ideal for modern SoCs with reversible connectors and dynamic role-switching.

Low Power & Compact Footprint: Optimized PHY architecture ensures minimal area and power, perfect for mobile and embedded systems.

Robust Signal Performance: Built-in signal integrity and error-handling features ensure reliable performance in harsh environments.

Proven Across Markets: Successfully deployed in automotive, external storage, consumer electronics, gateways, and industrial systems.

T2M-IP’s USB 3.2 Gen1/Gen2 solution is part of a rich interface IP cores portfolio that includes PCIe, HDMI, DisplayPort, MIPI, DDR, Ethernet, V-by-One, SD/eMMC, and programmable SerDes, all available with matching PHYs. IP cores are silicon-proven and available across leading foundries and advanced process nodes.

Immediate licensing Availability: These Semiconductor Interface IP Cores are immediately available for licensing as stand-alone IP Cores or with pre-integrated Controllers and PHYs. Please submit a request / MailTo for more information on licensing options and pricing.About T2M: T2M-IP is a global independent semiconductor technology expert, supplying complex semiconductor IP Cores, Software, KGD, and disruptive technologies to allow faster development of your Wearables, IOT, Automotives, Communications, Storage, Servers, Networking, TV, STB, and Satellite SoCs. For more information, please visit www.t-2-m.com

[news24-amit]

Beyond Connectivity: Emerging Applications of Multi-Mode Chipsets

The global multi-mode chipset market, valued at USD 5.8 billion in 2022, is projected to surge to USD 17.2 billion by the end of 2031, advancing at a robust compound annual growth rate (CAGR) of 13.0% from 2023 through 2031. This comprehensive report examines market drivers, technological trends, leading players, and regional dynamics shaping the future of multi-mode chipsets, which integrate multiple wireless communication standards Wi-Fi, Bluetooth, 3G, 4G, and 5G into a single silicon solution.

Market Overview

Multi-mode chipsets serve as the backbone of modern connected devices, enabling seamless handoffs between various wireless networks to maintain uninterrupted high-speed data delivery. In 2022, increasing smartphone penetration and the rollout of early 5G networks propelled market value to US$ 5.8 billion. With network operators worldwide accelerating 5G deployments, chipset vendors are responding with advanced solutions optimized for power efficiency, spectral flexibility, and backward compatibility with legacy 2G–4G standards.

Market Drivers & Trends

Adoption of 5G Devices • The global uptake of 5G-capable devices is a primary growth engine. Consumers and enterprises demand faster download/upload speeds, ultra-low latency, and greater network capacity. Multi-mode chipsets that support both 5G and previous generations ensure broad device interoperability and extend product lifecycles.

R&D of New Products • Continuous investment in chipset innovation—across baseband units, RF front-ends, and integrated SoCs—fuels incremental improvements in throughput and energy consumption. Initiatives such as Samsung’s third-gen mmWave RFICs and second-gen 5G modems exemplify the push toward higher integration and performance.

Edge Computing & IoT Integration • The emergence of edge-computing architectures and proliferation of IoT endpoints (smart homes, industrial sensors, autonomous vehicles) require versatile connectivity modules. Multi-mode chipsets are becoming integral to IoT gateways and edge nodes, balancing cost, performance, and simultaneous multi-network access.

Regulatory & Spectrum Allocations • Governments in regions like North America and Europe are reopening legacy spectrum bands for private LTE and 5G deployments. This regulatory momentum encourages chipset suppliers to develop solutions tailored for industrial and enterprise private networks.

Latest Market Trends

Dual-Connectivity Solutions: Chipset architectures now natively support 5G NSA (Non-Standalone) and SA (Standalone) modes alongside LTE, enabling smoother network migrations.

Power-Optimized Designs: Low-power operation is critical for battery-constrained wearables and industrial sensors; advanced power-gating and dynamic clocking techniques are being integrated into new models.

Software-Defined Radio (SDR) Features: Some multi-mode chipsets incorporate programmable blocks, allowing firmware updates to support new spectrum bands and protocols without hardware revisions.

Miniaturization: More compact chip packages facilitate integration into ultra-small form factors, from wireless earbuds to drones.

Gain a preview of important insights from our Report in this sample - https://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=46704

Key Players and Industry Leaders

The competitive landscape is dominated by a handful of semiconductor giants and specialized communication chipset firms:

HiSilicon Technologies

Intel Corporation

Qualcomm Technologies Inc.

Samsung Group

MediaTek

Spreadtrum Communications

Marvell Technology Group

Altair Semiconductor, Inc.

Broadcom Corporation

GCT Semiconductor Inc.

Recent Developments

VeriSilicon & Innobase Partnership (Feb 2024): Launched a 5G RedCap/4G LTE dual-mode modem targeting cost-sensitive IoT segments.

Qualcomm Snapdragon Summit (Oct 2023): Announced two AI-enabled chips designed to offload generative AI workloads on mobile and PC platforms.

BSNL & Echelon Edge Collaboration (Jan 2023): Deployed private LTE/5G networks for enterprise customers in India, demonstrating growing demand for bespoke private networks.

Samsung 5G SoC Launch (June 2021): Introduced a line of baseband units, compact macro units, and massive MIMO with integrated third-gen mmWave RFIC.

Market Opportunities

Private Network Solutions – Enterprises across manufacturing, logistics, and mining seek private 5G/LTE networks for secure, low-latency connectivity, creating demand for specialized multi-mode modems.

Automotive & Transportation – Vehicle-to-everything (V2X) communication systems require multi-mode support for both cellular and dedicated short-range communication (DSRC).

Healthcare & Wearables – The telemedicine boom drives the need for wearable devices that seamlessly switch between Wi-Fi, Bluetooth, and cellular networks.

Rural Connectivity – Cost-effective 4G/5G solutions can bridge digital divides in emerging markets, where legacy networks remain prevalent.

Future Outlook

By 2031, the global multi-mode chipset market is forecast to reach US$ 17.2 billion. Key growth catalysts include the maturation of 5G SA networks, expansion of AI-driven edge-computing applications, and continued convergence of wireless standards. Chipset vendors that invest in highly integrated, software-upgradable designs will capture the largest share, while niche players focused on IoT and private network solutions will benefit from specialized verticals.

Market Segmentation

The report segments the global market by:

Application: Smartphones; Tablets; Wearable Devices; Others (automotive, industrial, healthcare)

End-User Vertical: Consumer Electronics; Automotive & Transportation; Industrial; Healthcare; Others

Component: Baseband Processors; RF Front-Ends; Antenna Switches; Others

Regional Insights

North America: Holds the largest market share (2022) driven by rapid urbanization, strong 5G rollout (e.g., U.S. National Telecommunications and Information Administration’s 5G strategy in 2020), and home to key chipset developers.

Asia Pacific: Fastest growing owing to high smartphone adoption in China and India, aggressive 5G infrastructure investments in South Korea and Japan, and burgeoning IoT deployments.

Europe: Steady growth supported by private 5G initiatives in Germany and U.K., and stringent automotive communication standards.

Rest of World: Latin America and Middle East & Africa present gradual uptake, with governments planning spectrum auctions and encouraging digital transformation.

Frequently Asked Questions

What is a multi-mode chipset? A multi-mode chipset is an integrated circuit that supports multiple wireless communication standards such as Wi-Fi, Bluetooth, 3G, 4G, and 5G on a single chip, enabling devices to switch seamlessly between networks.

Why is the CAGR projected at 13.0%? Strong 5G network rollouts, increasing smartphone penetration, and growing demand for IoT and industrial applications drive sustained market growth at a 13.0% CAGR from 2023 to 2031.

Which region leads the market? North America dominated in 2022, owing to early 5G deployments, presence of leading semiconductor companies, and government support for spectrum reallocation.

Who are the major players? Qualcomm, Intel, MediaTek, Samsung, and Broadcom lead the landscape, with several regional specialists competing in niche IoT and private network segments.

How does this report help enterprises? It equips businesses with actionable insights into market trends, growth opportunities, competitor strategies, and technological roadmaps, supporting informed decision-making for product development and investments.

Explore Latest Research Reports by Transparency Market Research:

Photoionization Detection (PID) Gas Analyzer Market: https://www.transparencymarketresearch.com/photoionization-detection-gas-analyzer-market.html

Haptic Technology Market: https://www.transparencymarketresearch.com/haptic-technology-market.html

Silicon on Insulator (SOI) Market: https://www.transparencymarketresearch.com/silicon-insulator-market.html

Broadcast Equipment Market: https://www.transparencymarketresearch.com/broadcast-equipment-market.html

About Transparency Market Research Transparency Market Research, a global market research company registered at Wilmington, Delaware, United States, provides custom research and consulting services. Our exclusive blend of quantitative forecasting and trends analysis provides forward-looking insights for thousands of decision makers. Our experienced team of Analysts, Researchers, and Consultants use proprietary data sources and various tools & techniques to gather and analyses information. Our data repository is continuously updated and revised by a team of research experts, so that it always reflects the latest trends and information. With a broad research and analysis capability, Transparency Market Research employs rigorous primary and secondary research techniques in developing distinctive data sets and research material for business reports. Contact: Transparency Market Research Inc. CORPORATE HEADQUARTER DOWNTOWN, 1000 N. West Street, Suite 1200, Wilmington, Delaware 19801 USA Tel: +1-518-618-1030 USA - Canada Toll Free: 866-552-3453 Website: https://www.transparencymarketresearch.com Email: sales@transparencymarketresearch.com

[semiconductorsandelectronics]

IoT Node and Gateway Market Market Size & Share

The global IoT Node and Gateway market size was valued at USD 424.6 billion in 2024 and is estimated to reach USD 604.7 billion by 2029, registering a CAGR of 7.3% during the forecast period.

[cloudtopiaa]

From Edge to Cloud: Building Resilient IoT Systems with DataStreamX

Introduction

In today’s hyperconnected digital environment, real-time decision-making is no longer a luxury — it’s a necessity.

Whether it’s managing power grids, monitoring equipment in a factory, or ensuring freshness in a smart retail fridge, organizations need infrastructure that responds instantly to changes in data.

IoT (Internet of Things) has fueled this revolution by enabling devices to sense, collect, and transmit data. However, the true challenge lies in managing and processing this flood of information effectively. That’s where DataStreamX, a real-time data processing engine hosted on Cloudtopiaa, steps in.

Why Traditional IoT Architectures Fall Short

Most traditional IoT solutions rely heavily on cloud-only setups. Data travels from sensors to the cloud, gets processed, and then decisions are made.

This structure introduces major problems:

High Latency: Sending data to the cloud and waiting for a response is too slow for time-sensitive operations.

Reliability Issues: Network outages or poor connectivity can completely halt decision-making.

Inefficiency: Not all data needs to be processed centrally. Much of it can be filtered or processed at the source.

This leads to delayed reactions, overburdened networks, and ineffective systems — especially in mission-critical scenarios like healthcare, defense, or manufacturing.

Enter DataStreamX: What It Is and How It Helps

DataStreamX is a distributed, event-driven platform for processing, analyzing, and routing data as it’s generated, directly on Cloudtopiaa’s scalable infrastructure.

Think of it as the central nervous system of your IoT ecosystem.

Key Capabilities:

Streaming Data Pipelines: Build dynamic pipelines that connect sensors, processing logic, and storage in real time.

Edge-Cloud Synchronization: Process data at the edge while syncing critical insights to the cloud.

Secure Adapters & Connectors: Connect to various hardware, APIs, and databases without compromising security.

Real-Time Monitoring Dashboards: Visualize temperature, motion, voltage, and more as they happen.

Practical Use Case: Smart Industrial Cooling

Imagine a facility with 50+ machines, each generating heat and requiring constant cooling. Traditional cooling is either always-on (inefficient) or reactive (too late).

With DataStreamX:

Sensors track each machine’s temperature.

Edge Node (Cloudtopiaa gateway) uses a threshold rule: if temperature > 75°C, activate cooling.

DataStreamX receives and routes this alert.

Cooling system is triggered instantly.

Cloud dashboard stores logs and creates trend analysis.

Result: No overheating, lower energy costs, and smarter maintenance predictions.

Architecture Breakdown: Edge + Cloud

LayerComponentFunctionEdgeSensors, microcontrollersCollect dataEdge NodeLightweight processing unitFirst level filtering, logicCloudtopiaaDataStreamX engineProcess, store, trigger, visualizeFrontendDashboards, alertsInterface for decision makers

This hybrid model ensures that important decisions happen instantly, even if the cloud isn’t available. And when the connection is restored, everything resyncs automatically.

Advantages for Developers and Engineers

Developer-Friendly

Pre-built connectors for MQTT, HTTP, serial devices

JSON or binary data support

Low-code UI for building data pipelines

Enterprise-Grade Security

Encrypted transport layers

Role-based access control

Audit logs and traceability

Scalable and Flexible

From 10 sensors to 10,000

Auto-balancing workloads

Integrates with your existing APIs and cloud services

Ideal Use Cases

Smart Factories: Predictive maintenance, asset tracking

Healthcare IoT: Patient monitoring, emergency response

Smart Cities: Traffic control, environmental sensors

Retail Tech: Smart fridges, in-store behavior analytics

Utilities & Energy: Grid balancing, consumption forecasting

How to Get Started with DataStreamX

Step 1: Visit https://cloudtopiaa.com Step 2: Log in and navigate to the DataStreamX dashboard Step 3: Add an edge node and configure input/output data streams Step 4: Define business logic (e.g., thresholds, alerts) Step 5: Visualize and manage data in real-time

No coding? No problem. The UI makes it easy to drag, drop, and deploy.

Future Outlook: Smart Systems that Learn

Cloudtopiaa is working on intelligent feedback loops powered by machine learning — where DataStreamX not only responds to events, but learns from patterns.

Imagine a system that can predict when your machinery is likely to fail and take proactive action. Or, a city that automatically balances electricity demand before overloads occur.

This is the future of smart, resilient infrastructure — and it’s happening now.

Conclusion: Real-Time Is the New Standard

From agriculture to aerospace, real-time responsiveness is the hallmark of innovation. DataStreamX on Cloudtopiaa empowers businesses to:

React instantly

Operate reliably

Scale easily

Analyze intelligently

If you’re building smart solutions — whether it’s a smart farm or a smart building — this is your launchpad.

👉 Start your journey: https://cloudtopiaa.com

[aanshi-123]

Internships in Hyderabad for B.Tech Students – Why LI-MAT Soft Solutions is the Best Platform to Launch Your Tech Career

What Are the Best Internships in Hyderabad for B.Tech Students?

The best internships are those that:

Offer real-time project experience

Help you develop domain-specific skills

Are recognized by industry recruiters

Provide certifications and resume value

At LI-MAT, students get access to all of this and more. They offer industry-curated internships that help B.Tech students gain:

Hands-on exposure

Mentorship from experts

Placement-ready skills

Whether you’re from CSE, IT, ECE, or EEE, LI-MAT provides internships that are practical, structured, and designed to bridge the gap between college and industry.

Can ECE B.Tech Students Get Internships in Embedded Systems or VLSI in Hyderabad?

Absolutely! And LI-MAT makes it easy.

ECE students often struggle to find genuine core domain internships, but LI-MAT Soft Solutions offers specialized programs for:

Embedded Systems

IoT and Sensor-Based Projects

VLSI Design & Simulation

Robotics and Automation

These internships include hardware-software integration, use of tools like Arduino, Raspberry Pi, and VHDL, and even PCB design modules. So yes, if you’re from ECE, LI-MAT is your one-stop platform for core domain internships in Hyderabad.

Are There Internships in Hyderabad for IT and Software Engineering Students?

Definitely. LI-MAT offers software-focused internships that are tailor-made for IT and software engineering students. These include:

Web Development (Frontend + Backend)

Full Stack Development

Java Programming (Core & Advanced)

Python and Django

Cloud Computing with AWS & DevOps

Data Science & Machine Learning

Mobile App Development (Android/iOS)

The internships are live, interactive, and project-driven, giving you the edge you need to stand out during placements and technical interviews.

What Domain-Specific Internships are Popular in Hyderabad for B.Tech Students?

B.Tech students in Hyderabad are increasingly looking for internships that align with industry trends. Some of the most in-demand domains include:

Cyber Security & Ethical Hacking

Artificial Intelligence & Deep Learning

Data Science & Analytics

IoT & Embedded Systems

VLSI & Electronics Design

Web and App Development

Cloud & DevOps

LI-MAT offers certified internship programs in all these domains, with practical exposure, tools, and mentoring to help you become industry-ready.

Courses Offered at LI-MAT Soft Solutions

Here’s a quick look at the most popular internship courses offered by LI-MAT for B.Tech students:

Cyber Security & Ethical Hacking

Java (Core + Advanced)

Python with Django/Flask

Machine Learning & AI

Data Science with Python

Cloud Computing with AWS

Web Development (HTML, CSS, JS, React, Node)

Mobile App Development

Embedded Systems & VLSI

Each course includes:

Industry-relevant curriculum

Real-time projects

Expert mentorship

Certification

Placement and resume support

Whether you're in your 2nd, 3rd, or final year, you can enroll and gain the skills that tech companies in Hyderabad are actively seeking.

Why LI-MAT Soft Solutions?

What makes LI-MAT stand out from other institutes is its focus on real outcomes:

Hands-on project experience

Interview prep and soft skills training

Dedicated placement support

Beginner to advanced-level paths

They aren’t just about teaching—they’re about transforming students into tech professionals.

Conclusion

If you're searching for internships in Hyderabad for B.Tech students, don’t settle for generic listings and unpaid gigs. Go with a trusted institute that offers real skills, real projects, and real value.

LI-MAT Soft Solutions is your gateway to quality internships in Hyderabad—whether you’re from CSE, IT, or ECE. With cutting-edge courses, project-driven learning, and expert guidance, it’s everything you need to kickstart your tech career the right way.

[leadingnets]

The Future of Edge Computing: Enhancing Performance and Security

  In today's digital landscape, businesses rely heavily on real-time data processing, high-speed connectivity, and robust security measures. Edge computing is revolutionizing the way data is handled, processed, and secured, bringing computation closer to the data source rather than relying solely on centralized cloud servers.

As industries adopt IoT (Internet of Things), AI-driven applications, and 5G technology, the demand for low-latency, high-performance computing is rising. This blog explores the future of edge computing, its impact on performance and security, and why businesses should adopt this transformative technology.

Discover cutting-edge IT solutions for your business.

What is Edge Computing?

Edge computing is a decentralized computing model where data processing occurs near the data source, reducing latency and improving efficiency. Unlike traditional cloud computing, which relies on centralized data centers, edge computing processes data on local devices or edge nodes, ensuring faster and more secure operations.

🔹 Key Components of Edge Computing: ✔ Edge Devices – Sensors, IoT devices, and smart systems. ✔ Edge Nodes – Local servers or mini data centers. ✔ Edge Gateways – Bridges between devices and cloud networks. ✔ Cloud Integration – Hybrid models with cloud and edge computing working together.

Upgrade your IT infrastructure with smart edge computing.

Why Edge Computing is the Future of IT

1. Reducing Latency for Faster Data Processing

Traditional cloud computing can introduce latency due to the physical distance between data centers and end-users. Edge computing minimizes this delay by processing data closer to the source, significantly enhancing real-time applications like self-driving cars, remote healthcare, and industrial automation.

🔹 Advantages of Low-Latency Processing: ✔ Faster response times for IoT applications. ✔ Improved performance in AI-driven analytics. ✔ Better user experience in cloud gaming and streaming.

Optimize your IT systems for ultra-fast performance.

2. Enhancing Security with Distributed Architecture

Cybersecurity is a growing concern in the digital world, and edge computing enhances security by reducing the attack surface and limiting data exposure to centralized servers. Since data is processed locally, the risk of large-scale breaches is minimized.

🔹 Security Benefits of Edge Computing: ✔ Data stays closer to the source, reducing external threats. ✔ Less dependency on vulnerable cloud storage. ✔ More control over security policies and encryption.

Protect your business with advanced IT security solutions.

3. Supporting 5G and IoT Expansion

With 5G networks enabling high-speed, low-latency connectivity, edge computing is crucial for unlocking its full potential. The IoT ecosystem, with billions of interconnected devices, relies on edge computing for real-time data analytics and processing.

🔹 Why Edge Computing is Essential for 5G and IoT: ✔ Handles massive data volumes from IoT devices. ✔ Reduces network congestion by processing data locally. ✔ Enables real-time decision-making in smart cities and industries.

Leverage the power of IoT and 5G with cutting-edge IT solutions.

The Role of Edge Computing in Key Industries

Healthcare: Faster Medical Data Processing

In healthcare, real-time patient monitoring and telemedicine require low-latency, high-speed data processing. Edge computing enables doctors to receive instant diagnostic results and ensures patient data privacy.

Explore secure IT solutions for healthcare.

Manufacturing: Smart Factories & Automation

Industry 4.0 depends on edge computing for predictive maintenance, automated production, and robotics. Edge AI improves decision-making, optimizing operations with real-time data insights.

Enhance manufacturing efficiency with edge computing.

Retail: Personalized Customer Experiences

Retailers use AI-powered edge solutions to analyze customer behavior, optimize inventory, and enhance in-store experiences through smart kiosks and digital displays.

Implement intelligent retail solutions with edge technology.

Challenges & Solutions in Edge Computing

While edge computing offers numerous benefits, businesses must address key challenges to ensure seamless adoption.

1. Infrastructure Costs & Deployment

✔ Challenge: Implementing edge computing requires hardware upgrades and infrastructure investments. ✔ Solution: Hybrid cloud-edge models can balance costs by utilizing both cloud and edge computing.

Find cost-effective IT solutions for your business.

2. Data Security & Compliance

✔ Challenge: Storing sensitive data at multiple edge locations increases compliance risks. ✔ Solution: Implement end-to-end encryption, secure access controls, and AI-driven cybersecurity.

Strengthen your business with robust cybersecurity.

3. Scalability & Management

✔ Challenge: Managing distributed edge nodes can be complex. ✔ Solution: Use AI-powered monitoring and automation tools for real-time infrastructure management.

Simplify IT management with advanced solutions.

How to Implement Edge Computing in Your Business

1️⃣ Assess Your IT Needs – Identify applications that require low-latency processing and real-time analytics. 2️⃣ Choose the Right Edge Infrastructure – Deploy edge nodes, gateways, and security solutions. 3️⃣ Integrate with Cloud Services – Use hybrid models to balance cost and performance. 4️⃣ Enhance Security Measures – Implement encryption, access controls, and AI-driven security. 5️⃣ Monitor & Optimize – Use automated monitoring tools to ensure smooth operations.

Start your edge computing transformation today.

Why Choose Leading Network Systems for Edge Computing Solutions?

At Leading Network Systems (LNS), we offer cutting-edge edge computing solutions designed to enhance performance, security, and scalability for businesses across industries.

🔹 Our Key Offerings: ✔ AI-Powered Cybersecurity Solutions ✔ Real-Time Data Processing & Analytics ✔ Hybrid Cloud & Edge Computing Integration ✔ Scalable IT Infrastructure & Network Optimization ✔ Automated Monitoring & Management

Contact us today to implement edge computing in your business.

Final Thoughts

Edge computing is shaping the future of IT by providing low-latency processing, enhanced security, and improved scalability. As businesses adopt IoT, 5G, and AI-driven applications, the shift toward decentralized computing is inevitable.

Organizations must invest in edge infrastructure, implement strong security measures, and integrate hybrid cloud solutions to maximize the benefits of edge computing.

Take your IT infrastructure to the next level with expert edge computing solutions.