Android Evolves M2M

Modern M2M (Machine-To-Machine) communication offers many possibilities. M2M is related to Internet of Things (IoT), Industry 4.0 and Cyber Physical Systems (CPS). According to VDC Research, their will be more than one million embedded developers working with Android in M2M applications by the end of 2015. "Android is a massively disruptive technology for the embedded technology vendor community. While there have always been many OS's to support the wide diversity of embedded and M2M applications, never has a new OS gained so much traction so quickly,” stated VDC vice president Chris Rommel.

NEC

Machine-to-Machine Communication involves massive amounts of data within this process. It is also related to Big Data Analytics and Cloud Computing. Cost in cloud computing is still a factor with mainstream adoption, for business. Advanced software for analytics, unified communications, enterprise resource planning, customer relationship management and other sophisticated technology solutions were often out of the price range or skill set. As technology costs decline, there is strong growth opportunity. The emerging technology life cycle, back end integration with other systems is paramount with placing a higher priority on back-end integration for the cloud.

Google / Bosch

How big data scales will challenge these new and existing approaches. If the organization has a risk management framework in place it can help address the most critical threats. We can look at using sophisticated analytics to improve overall decision making in these areas. The cloud will become a more standard platform. The market can be very demanding of the business model too. Timing is a crucial element.

M2M being able to use big data to sift through complex data sources and communicate critical data, how it delivers it new efficiencies and critical time saves information in real time. Advanced analytics technology helps to better leverage Big Data. Big data has now opportunity to identify new emerging data for M2M. Small data sets objectives should meet defined requirements, how to produce the best quality data derived and meet reliability from abundant data. Making sure the conditions are stable is also important. There are a environments that like migration style where some questions have to be answered such as using the right data migration tools. The larger project or environment the more complexities will arise.

Intel will capitalize on M2M Android to rival ARM. Intel is the greatest threat for ARM. Broadcom and Nvidia, as well as Intel, are just beginning to offer their own baseband chips. Qualcomm has leverage to these competitors as they have a learning curve to overcome. Qualcomm is winning by a greater margin over Intel. The challenges impose slowing growth, as well as the upside being consequences of dynamic shifts in technology that either drive sales or constrain them.

Android is expected to growth through M2M verticals. These are high growth areas in which developers and other vendors can benefit through further developments within this platform and ecosystem. M2M has the ability to create scenarios where every day things can create value for humans. Developers are expected to learn and better adopt the platform. It is expected that over billions of applications will be using this type of data through mobile in the near future. The growth of Android M2M applications will depend on how security standards improve for the mobile OS.