Skip to main content

How to Extract Meaning and Value from M2M Data

Mobile network service providers are going to be inundated with machine-to-machine (M2M) data. Extracting meaning and value from that mass of raw information is a huge undertaking. Analytics software platforms and professional services are part of the solution.

ABI Research forecasts that the M2M analytics industry will grow a robust 53.1 percent over the next 5 years -- from $1.9 billion in 2013 to $14.3 billion in 2018.

The ABI forecast includes revenue segmentation for the five components that together enable analytics to be used in M2M services: including data integration, data storage, core analytics, data presentation, and associated professional services.

"Analytics will play a critical role in the evolution of M2M, serving as the foundation for an increasing number of M2M business cases," said Aapo Markkanen, senior analyst at ABI Research.

In essence, such analytics-driven business cases will be about making previously opaque physical assets part of the digital data universe. M2M has thus a very synergetic relationship with the wider big data space, with growth in one industry driving also growth in the other.

Significantly, the actual value of M2M data can vary greatly by the depth of delivered analysis. At the moment, most enterprises with relevant data assets are trying to migrate from descriptive and diagnostic insights to predictive analytics.

Mastering the predictive phase could then ultimately lead to the final, prescriptive phase of analytics.

Predictive analytics is becoming one of the hottest areas in the M2M value chain. Of today’s analytics establishment, SAP and IBM have woken up to the opportunity reasonably early.

Of the younger companies, Splunk is an example of a firm that could develop into a true Internet of Things powerhouse if it plays its cards right.

Given the far-reaching possibilities of machine learning, ABI says they're also expecting a major impact from players that successfully apply it to industrial settings. Mtell appears to be making strides in this field, and going forward Grok will also be one to watch.

Popular posts from this blog

Growing Venture Capital in APAC AI Market

Technology is a compelling catalyst for economic growth across the globe.  Artificial intelligence (AI) rides a seismic wave of transformation in the Asia-Pacific (APAC) region — a market bolstered by bold government initiatives, swelling pools of capital, and vibrant tech ambition. The latest IDC analysis sheds light on this dynamic market. Despite a contraction in deal volumes through 2024, total AI venture funding surged to an impressive $15.4 billion — a signal of the region’s resilience and the maturation of its digital-native businesses (DNBs). Asia-Pacific AI Market Development The APAC AI sector’s funding story is not just about headline numbers but also about how and where investments are shifting. Even as the number of deals slowed, the aggregate value of investments climbed, reflecting a preference among investors for fewer but larger, high-potential bets on mature or highly scalable AI enterprises. The information technology sector led the AI investment charge. Top area...