Magic Quadrant for Industrial IoT Platforms 2018

By 2020, on-premises Internet of Things (IoT) platforms coupled with edge computing will account for up to 60% of industrial IoT (IIoT) analytics, up from less than 10% today.


By the end of 2022, the lack of compelling platforms in the market will induce 15% of manufacturers to develop or acquire IoT platforms, up from less than 1% today.


Market Definition/Description:
Gartner defines the market for industrial Internet of Things (IIoT) platforms as a set of integrated software capabilities. These capabilities span efforts to improve asset management decision making, as well as operational visibility and control for plants, depots, infrastructure and equipment within asset-intensive industries. The IIoT platform may be consumed as a technology suite or as an open and general-purpose application platform, or both in combination. The platform is engineered to support the requirements of safety, security and mission criticality associated with industrial assets and their operating environments. The IIoT platform software that resides on devices — such as, controllers, routers, access points, gateways and edge computing systems — is considered part of a distributed IIoT platform.


No clear leader in "Magic Quadrant for Industrial IoT Platforms"

Magic Quadrant for Cloud Infrastructure as a Service 2018

When people think about "cloud computing," cloud IaaS is often one of the first things that comes to mind. It's the "computing" in cloud computing — on-demand compute, storage and network resources, delivered on-demand, in near-real time, as a service. The market is maturing rapidly; IaaS is on the Slope of Enlightenment on Gartner's  "Hype Cycle for Cloud Computing, 2017."


Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using internet technologies. Cloud infrastructure as a service (IaaS) is a type of cloud computing service; it parallels the infrastructure and data center initiatives of IT.


Amazon AWS, Microsoft Azure and Google GCP are the leaders in “Magic Quadrant for Cloud Infrastructure as a Service : 2018”

"Gartner Magic Quadrant for the CRM Customer Engagement Center 2018"

By 2022, 70% of customer interactions will involve an emerging technology such as machine learning applications, chatbots or mobile messaging, up from 15% in 2018.

By 2022, 20% of all customer service interactions will be completely handled by AI, an increase of 400% from 2018.

Customers are demanding consistency of treatment when self-service escalates to assisted service. In turn, application leaders will demand that vendors provide channel synchronization, better use of AI, team collaboration, contextual knowledge and event-centric treatment.

Market Definition/Description
This Magic Quadrant examines the global market for customer service and support applications that enable customer service and support agents to engage customers through their preferred communication channel. It covers a wide range of customer service applications for organizations with customer engagement centers (CECs), ranging from very small (fewer than 20 agents) through average size (50 agents) to very large, distributed centers (over 10,000 agents).

SalesForce, PegaSystems, Microsoft, Oracle and Zendesk are the leaders in "Gartner Magic Quadrant for the CRM Customer Engagement Center 2018"