Skip to main content

Private Wireless Network Demand for New Apps

Wireless communication networking continues to evolve. More enterprise IT organizations are envisioning new applications that empower frontline and corporate employees to streamline mobile workflow.

A public cellular network relies on shared infrastructure and resources which are utilized by numerous other subscribers.

In contrast, private cellular networks are prevalent among businesses aiming to increase privacy, safety and control over a network used exclusively by their employees and guests.

Private Wireless Network Market Development 

According to the latest market study by Juniper Research, enterprise spend on private networks will near $10 billion globally by 2028 -- that's rising from $1 billion in 2023.

Growing by 722 percent, the three vertical industries driving the market were identified as: Manufacturing (35 percent), Energy (20 percent), and Public Services (16 percent).

The need for private networks that can support high device densities and operate over large geographical areas is an important factor.

Private networks leverage cellular technologies to provide a closed and secure network than can be fully managed by the enterprise IT organization.

Furthermore, private networks cannot be accessed by any cellular device connection, only those authorized by the network itself.

The manufacturing market demands more coordination of automated processes and devices, thus requiring high-levels of orchestration via software-defined networks.

This inherent complexity means that manufacturing applications will be a key use case for the more rapid adoption of 5G private networks, due to its infrastructure supporting high-device density operations and ultra-low latency properties.

As network complexity increases, Juniper analysts urge private network vendors to offer an ongoing managed service approach to their enterprise customers.

This approach will enable private network vendors to maintain a continuous relationship with their customers and benefit from recurring service revenue.

According to the Juniper assessment, ongoing technical support and other value-added services will be necessary to maximize the value proposition for enterprise customers.

Outlook for Private Network Applications Growth

Additionally, Juniper predicts that wireless spectrum resource management will be the key determining factor in the quality of service provision to minimize network interference.

As a result, network slicing will emerge as a key technology for vendors to ensure that high throughput to private network connections is guaranteed for end users. This will help to drive new apps growth.

That said, I believe private networks are vital in healthcare applications, as mission-critical life support requires consistent connectivity and reliability. By combining artificial intelligence (AI) with generated data, the growth potential will be significant.

New requirements for wireless network bandwidth within a healthcare services setting will expand the demand for private networks. Deploying private networks can help reduce the technology gap, and build modern Smart Hospital ecosystems.

Popular posts from this blog

Industrial Cloud Computing Apps Gain Momentum

In the manufacturing industry, cloud computing can help leaders improve their production efficiency by providing them with real-time data about their operations. This has gained the attention of the C-suite. Total forecast Industrial Cloud platform revenue in manufacturing will surpass $300 billion by 2033 with a CAGR of 22.57 percent, driven by solution providers enhancing platform interoperability while expanding partner ecosystems for application development. ABI Research found the cloud computing manufacturing market will grow over the next decade due to the adoption of new architectural frameworks that enhance data extraction and interoperability for manufacturers looking to maximize utility from their data. Industrial Cloud Computing Market Development "Historically, manufacturers have built out their infrastructure to include expensive data housing in the form of on-premises servers. The large initial upfront cost of purchasing, setting up, and maintaining these servers is

AI Semiconductor Revenue will Reach $119.4B

The Chief Information Officer (CIO) and/or the Chief Technology Officer (CTO) will guide Generative AI initiatives within the large enterprise C-Suite. They may already have the technical expertise and experience to understand the capabilities and limitations of Gen AI. They also have the authority and budget to make the necessary investments in infrastructure and talent to support Gen AI initiatives. Enterprise AI infrastructure is proven to be expensive to build, operate and maintain. That's why public cloud service provider solutions are often used for new AI use cases. AI Semiconductor Market Development Semiconductors designed to execute Artificial Intelligence (AI) workloads will represent a $53.4 billion revenue opportunity for the global semiconductor industry in 2023, an increase of 20.9 percent from 2022, according to the latest worldwide market study by Gartner. "The developments in generative AI and the increasing use of a wide range AI-based applications in data c

Demand for Quantum Computing as a Service

The enterprise demand for quantum computing is still in its early stages, growing slowly. As the technology becomes more usable, we may see demand evolve beyond scientific applications. The global quantum computing market is forecast to grow from $1.1 billion in 2022 to $7.6 billion in 2027, according to the latest worldwide market study by International Data Corporation (IDC). That's a five-year compound annual growth rate (CAGR) of 48.1 percent. The forecast includes base Quantum Computing as a Service, as well as enabling and adjacent Quantum Computing as a Service. However, this updated forecast is considerably lower than IDC's previous quantum computing forecast, which was published in 2021, due to lower demand globally. Quantum Computing Market Development In the interim, customer spend for quantum computing has been negatively impacted by several factors, including: slower than expected advances in quantum hardware development, which have delayed potential return on inve