Artificial Intelligence in Machinery Applications

​Sample

• We reached out to companies with our internal data, LinkedIn, emails, and our digital transformation council: https://www.arcweb.com/digital-transformation-counci .​
• The sample is representative for the AI market in terms of company size as well as regional distribution.​
• Overall, more than 170 people responded.​
• We consider the results to be significant and reliable.​

• The survey splits out into three different branches: ​
  • Suppliers​
  • Users​
  • Machine builders (OEMs), EPC, and System integrators (SI)​
• It is necessary to split these out, as each group has different challenges, insights, and motivation, when it comes to suppliers and end users of artificial intelligence. ​
• We consider the samples for users and suppliers to be representative and therefore reliable. ​
• The group of OEMs, EPCs, and SI is comparably small, hence only answers, which are homogenous. In the following analysis, we only include solid results.​

Current Adoption, Outlook, and COVID Impact

The Charts show the direct survey results in light blue and the estimated state of the market in dark blue. ​

The estimated state of the market is based on the results from the question presented on the following slide and the perceived position of the respondents.​

It is normal for a survey to not reach the people not interested in a topic, as they typically do not participate in surveys.​

Suppliers, OEMs, EPCs:​

• There is a gap between early adopters and late movers.​
• Overall, half of the companies currently offer AI based solutions.​
• We expect that almost all companies will offer AI based solutions by 2025.  ​

Users:​

• Most of the users are in piloting phase.​
• While there are selected offerings for ERP/MES software, which use AI, on the machinery level, there are hardly companies, which have solutions in place that are adopted enterprise wide.​
• While we left the “hype phase” in AI, the real impact of AI in the plant floor will be seen over the next years.​

• Overall, the sample is slightly biased towards the early adopters of AI.​
• The results of this question let a re-evaluation of the adoption seen in the previous slide.​
• We did not do this re-evaluation for all questions, but it must be considered that answers are given by a progressive set of companies.​

Table of Contents

• Sample
• Current Adoption & Outlook and COVID Impact
• Roadblocks and Drivers
• Technology
• Applications and Targets
• Lifecycle
• Ecosystem & Leading Companies

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