Outline of the overall manufacturing data analytics market as it pertains to Overall Equipment Effectiveness (OEE) with definitions, key findings, and actionable insights for best deployment strategies.
Summary of drivers and inhibitors in the OEE market with recommendations on how manufacturers can best utilize OEE solutions for further enhanced data analytics.
Understanding the core capabilities of OEE solutions, along with the ecosystem of applications that incorporate the tracking of OEE metrics for manufacturers.
Critical Questions Answered
What do manufacturers see as the most pressing facet of OEE: availability, performance, or quality?
Which data analytics providers are catering OEE solutions to the needs of manufacturers in industry domains (discrete versus process)?
How does the digital maturity of manufacturers affect the adoption rate of OEE solutions?
Research Highlights
Forecast for worldwide revenue of OEE solutions through 2034.
Synopsys breakdown of solution providers in the manufacturing data analytics market as it relates to OEE solutions.
Digital maturity of manufacturers and the relevancy on current and future adoption of OEE solutions.
Who Should Read This?
Discrete and process manufacturers looking to identify the prerequisite requirements for adopting a data analytics solution that goes beyond tracking descriptive OEE metrics.
Systems integrators looking for new solutions to implement for downstream clients.
Venture Capital (VC) & Mergers and Acquisitions (M&A) teams looking to identify up-and-coming hot tech innovators providing OEE solutions.
Table of Contents
1. KEY FINDINGS
2. KEY FORECASTS
3. KEY COMPANIES
4. READINESS TO ADOPT: OEE SOLUTIONS FOR MANUFACTURERS
5. DIFFERENCES IN OEE AMONG DISCRETE AND PROCESS INDUSTRIES
