MachNation has released its IoT Application Enablement Platform (AEP) ScoreCard for 2018, which provides in-depth ratings of 21 IoT platform vendors. According to their data. IoT platform revenue will grow 89% in 2018. The company predicts that IoT platform revenue in 2018 will reach $3.3 billion and that purchasing from the manufacturing, automotive, logistics, smart city, and utility sectors will increase. The report found that companies are choosing to purchase cloud-based services rather than build their own.
See also: Report calls Microsoft the leading IoT platform choice
“MachNation’s fourth annual ScoreCard is the industry’s largest, longest-running, most complete, independent evaluation of IoT platforms,” said Dima Tokar, CTO and head analyst, MachNation. “Enterprises, service providers, systems integrators and application developers use MachNation’s ScoreCard to gain critical information about top-tier platforms in the global market.”
MachNation’s IoT Test Environment (MIT-E) was used to evaluate many of the IoT platforms that were also evaluated in the ScoreCard. The company claims to be the only one in the world that conducts tests of IoT platforms and makes the comparison data available for many popular ones such as Microsoft IoT, Amazon AWS IoT, IBM Watson IoT, Software AG Cumulocity IoT and others. The ScoreCard contains several quadrants and matrices to help evaluate the booming platform ecosystem. It ranks vendors on 15 different criteria including developer focus, deployment models, operational sophistication, partnerships, and strategy.
“Platform vendors all have similar marketing for their products,” said Samuel Hale, analyst, and testing specialist, MachNation. “If you’re serious about understanding platform differences, you need to dig deep into their products and capabilities. Our ScoreCard and MIT-E do that. “In order to capture the key trends in the ecosystem, we completed an in-depth analysis of the following vendors: Amazon, AT&T, Axonize, Ayla Networks, Bosch, ClearBlade, Ericsson, HPE, Huawei, IBM, InterDigital, Microsoft, Oracle, PTC, Relayr, SAP, Scriptr.io, SiteWhere, Software AG, Telit and TheThings.iO.”
Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
The Center for Adaptive Edge IntelligenceAdaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.Link to The Value of Vehicle Electrification
The Value of Vehicle ElectrificationElectric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoTDigital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.Link to Smart Manufacturing for Automotive
Smart Manufacturing for AutomotiveLeading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.Link to Center for Data Pipeline Automation
Center for Data Pipeline AutomationAs businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.Link to Center for Automated Integration
Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
