Artificial Intelligence in Machinery

Publish Date

The Artificial Intelligence (AI) in Machinery Market Research Study delivers current market analysis plus a twelve year market and technology forecast.

Artificial Intelligence (AI) Technology Is Growing in Popularity

The artificial intelligence (AI) in machinery market report focuses and analyzes AI technology, applications, market size, growth, and key trends with a focus on the ISA95 level 1 & 2.

The AI in machinery market is fragmented and only a few machine builders provide AI solutions.  Most machine builders are still in the proof-of-concept phase.  Each machine builder brings an individualized approach that is dependent on customer problems.

AI adoption and acceptance in the industry is increasing, and ARC foresees a rise in AI solutions tailored for specific applications across industries and markets. ARC has identified several growing applications - predictive maintenance, quality inspections, motion planning, and operational simulation & optimization are some of the applications where AI in machinery is increasing and expected to grow quickly in the future.  Machines used in material handling and robotics, among others, are also expected to see increasing adoption of AI technology in the future.

ARC observes different adoption rates for AI technology in machines.  This is influenced by various factors such as the availability of technical know-how, lifecycle and R&D costs, AI hype and expectations, regional differences, as well as machine builder/end user strategies.  Overall, the aim for AI technology in machinery is to increase manufacturing efficiency and quality while reducing operating costs. This creates value add for machine builders and end users alike.

Artificial Intelligence for Manufacturing Strategic Issues

Artificial Intelligence (AI) in Machinery Market TrendsARC recommends the following strategies:

End users should:

  • Assess their production needs and available infrastructure.
  • Look for machine builders that understand your real operational context and keep a realistic view of AI solutions in mind.

Machine builders should:

  • Work hand in hand with end users to understand their needs
  • Have provisions for lifecycle costs of AI solutions from R&D to field implementation.

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Formats and Editions Available

This market study may be purchased as an Excel Workbook and/or as a concise, executive-level Market Analysis Report (PDF).  The Workbook has some unique features such as the ability to select local currency.  Studies and formats available are listed below: 

MIRA Workbook Market Analysis PDF
Worldwide (includes regional data) Yes Yes

Artificial Intelligence in Machinery Study Table of Contents

Strategic Analysis

  • Major Trends
  • Regional Trends
  • Machine Builder Trends
  • End User Trends
  • Strategic Recommendations

Scope of Research

  • Segmentation by Region
    • North America
    • Europe, Middle East, Africa
    • Asia
    • Latin America
  • Segmentation by Revenue Category
    • Hardware
    • Software
    • Services
  • Segmentation by Application
    • Cybersecurity
    • Energy Management
    • HMI
    • Maintenance
    • Motion Planning
    • Operational Simulation & Optimization
    • Quality Control
    • Safety
  • Segmentation by Technology
    • Intelligent Systems
    • Machine Learning
    • Machine Perception
    • Natural Language Processing (NLP)
  • Segmentation by Machinery Segment
  • Segmentation by Customer Type
  • Segmentation by Sales Channel

Market Forecasts

  • Total Revenue for AI in Machinery Market
  • Revenues by Region
    • North America
    • Europe, Middle East, Africa
    • Asia
    • Latin America
  • Revenues by Revenue Category
    • Hardware
    • Software
    • Services
  • Revenues by Application
    • Cybersecurity
    • Energy Management
    • HMI
    • Maintenance
    • Motion Planning
    • Operational Simulation & Optimization
    • Quality Control
    • Safety
  • Revenues by Technology
    • Intelligent Systems
    • Machine Learning
    • Machine Perception
    • Natural Language Processing (NLP)
  • Revenues by Machinery Segment
  • Revenues by Customer Type
  • Revenues by Sales Channel

Industry Participants

The research identifies all relevant suppliers serving this market.