Skip to main content

Global Upside for IoT and M2M Software Applications

Cellular wireless Internet of Things (IoT) and Machine to Machine (M2M) connections will increase nearly fourfold globally from 252 million in 2014 to 908 million in 2019, according to the latest worldwide market study by 451 Research.

This significant increase in active cellular IoT or M2M connections will be driven by a number of key factors. First, hardware and bandwidth costs have dropped to a point where nearly every enterprise can reap the benefits of virtualizing the physical world.

Second, cloud-based open source middleware software and data platforms are making it easier to securely generate insights from machine data at greater scale than ever before possible.

Last, the growing interest is generating awareness of the transformational potential of IoT or M2M in terms of return on investment, competitiveness and support of completely new business models.

"We continue to be bullish that ultimately the hype of IoT will be proven to be warranted back on business impact," said Brian Partridge, research vice president at 451 Research.

The building excitement about what is possible has generated a massive amount of merger and acquisition (M&A) activity to support position taking for the next decade of IoT-driven digital business transformation.


IoT and M2M Application Market Development

According to the 451 Research assessment, connected passenger vehicles and connected energy will pace the market in terms of connection volume, while emerging solutions such as 'pay as you drive' insurance will grow the fastest.

"Over the forecast period we expect that M2M and IoT solution suppliers will find fertile ground in vertical markets such as retail and government that will adopt this technology to enable strategic digitization strategies such as smart cities and the use of digital signage, mobile point of sale, and connected kiosks to drive the transformation from brick and mortar to click and mortar," added Partridge.

As part of the IoT research, 451 also released data from another related market study. Key findings showed that 39 percent of U.S. IT decision-makers at companies that use or plan to use wearable technologies will deploy solutions in the next six months.

Twenty-four percent plan to deploy in the next 12 months. In addition, 81 percent of U.S. IT decision-makers who say their company plans to deploy wearables in the next six months will favor smart watches.

451 said they now expect wearable technology to deliver a key interface and input into the Industrial Internet of Things (IIoT). In fact, wearables have the potential to become a primary interface for IIoT access.

Popular posts from this blog

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

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

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