Global Emerging Industrial IoT Markets Report 2019 with Focus on AI Platform Vendors -

DUBLIN--()--The "Global Emerging Industrial IoT - AI Platform Vendors" report has been added to's offering.

This report reveals the market positioning of companies in an industry using the Growth and Innovation scores as highlighted in the methodology. The document presents competitive profiles on each of the companies based on their strengths, opportunities, and a small discussion on their positioning. The authors analyse hundreds of companies in the industry and benchmark them across 10 criteria, where the leading companies in the industry are then positioned. Industry leaders on both the Growth and Innovation indices are recognised as best practice recipients.

The Internet of Things (IoT) is a complex ecosystem that integrates Information Technology (IT) with Operational Technology (OT) to generate data that can be analysed to increase revenues and improve business productivity. The IoT has moved from the machine-to-machine (M2M) era in which monitoring an asset was the main objective to sensing, gathering data, monitoring, and controlling spaces and conditions of those spaces. This research underlines that the adoption of the IoT impacts every economic sector and living environment - from smart city to manufacturing, from healthcare delivery services to retailers.

However, the IoT vision has not yet reached its potential. The ambitious objective of the IoT is to predict conditions and situations, prescribe solutions, and automate processes. To achieve this, the IoT has to solve issues such as security, interoperability, and trust and identity. It must increase the level of data readiness in organisations, boost the level of machine intelligence, and strike the optimum balance between the edge and the cloud.

To face these challenges, emerging technologies such as distributed ledger technologies (DLT) and artificial intelligence (AI) are increasingly necessary. Therefore, the landscape of players involved in IoT projects should expand to encompass providers of emerging technologies. A new era of convergence has started--the convergence between the IoT and AI.

Predicting undesirable conditions and being able to prescribe solutions to avoid those situations is a powerful combination for optimising processes, reducing resource consumption, improving human resource contribution to enterprise processes, and stimulating innovation in organisations. AI is suited to supporting these requirements. Currently, ,machine learning (ML) is being applied in IoT contexts. Research reveals that strongly process-oriented sectors are more receptive of the convergence IoT-AI. Several activities and projects are happening in manufacturing (Industrial Internet), oil & gas, and mining.

Key Topics Covered:

Industry Overview

Emerging IoT-AI Platforms Vendors

  • Description of Companies Plotted

C2AMarket Participant Profiles

  • Arundo Analytics
  • Augury
  • Canvass Analytics
  • Conundrum
  • Falkonry
  • FogHorn
  • Glassbeam
  • Interactor - Pulzze Systems
  • Maana
  • Mnubo
  • OAG Analytics
  • Predikto (now part of United Technologies)
  • Presenso
  • Relayr
  • Seeq
  • Sight Machine
  • SparkCognition
  • Tellmeplus
  • Trendminer (now part of Software AG)
  • Uptake Technologies
  • Veros Systems

The Last Word

For more information about this report visit

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900