1. Identifying Trends and New Business Models in the Industrial Engineering Industry
  2. Innovation Themes: Identifying Technologies
  3. Innovation Themes: Uncovering Trends
  4. Innovation Themes: Prioritizing Trends
  5. Innovation Radar: Identifying Best Match Business Models
  6. Innovation Radar: Industrial Engineering Content Deck

Mechanization and Digitalization for the Industry

Valuer has created this case-study on how businesses can stay informed on how companies can capture value at scale within these digitalized manufacturing practices: additive manufacturing, industry 4.0, big data analytics, invisible governance and smart engineering. Many companies are developing digital services or are testing new data-based business models to improve their customer benefits and future earnings.

This case study serves as a resource tool to identify promising new business models and ideas for different digital offerings in the field of industrial engineering by using data from our AI workflow. This case study will also feature information for companies to identify and capture growth opportunities that will improve your competitive advantage and optimize your portfolio of products and services. Using a data-centric approach, Valuer is able to evaluate new technologies and capabilities catered specifically to your needs that have the potential to build resilience in your organization.

Several factors are crucial for successfully adopting digital offerings in industrial engineering. By embracing more and more digital software solutions and technologies, the more the industrial engineering company must act like a software company and should be able to adapt to these changes. By integrating data through the product life cycle, allows for greater organizational and technical ability to tackle more ambitious projects. Read the full case-study to see how you can stay informed with the latest emerging trends within industrial engineering.