8 Top Data Analytics Startups Out Of 279 In Manufacturing

We analyzed 279 data analytics startups in manufacturing. Check out our 8 picks to watch out for & learn more about the global distribution of these 8 and 271 more startups!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in the manufacturing industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 8 promising data analytics solutions.

Heat Map: 8 Top Data Analytics Startups

For our 8 picks of data analytics startups in manufacturing, we used a data-driven startup scouting approach to identify relevant solutions globally. The Global Startup Heat Map below highlights 8 interesting examples out of 279 relevant solutions. Depending on your specific needs, your top picks might look entirely different.


PwC’s Annual Manufacturing Report shows that among manufacturers there is a significant movement towards the utilization of smarter technologies. The key factors for this are the increased implementation of the Internet of Things (IoT) and the digitalization of the industry. As products are usually at the heart of a manufacturing business, data and analytics are often aimed at refining product development rather than the end-to-end production process.

Due to constantly increasing expenses, companies in the sector are always looking to

  1. Reduce the cost of manufacturing
  2. Increase production efficiency
  3. Minimize waste, optimize the use of energy and other resources

The introduction of TPS (Toyota Production System), lean management, Six Sigma, and other manufacturing strategies brought substantial improvements to the sector. However, while these techniques were effective in certain areas, they have limitations in terms of complex production processes such as pharmaceuticals, mining, etc. Advanced Analytics is a hotspot that manufacturers are seeking to invest in as it does not have the limitations of earlier manufacturing strategies. Moreover, Big Data and related analytics technologies are constantly becoming more affordable.

  • InTouch – Productivity/Yield Improvement

  • Machine Metrics – Smarter Use Of Resources

  • Else Corp – Mass Personalization/Product Customization

  • Intrastage – Supplier Quality Control

  • Malong – Internal Quality Control

  • Sight Machine – Meta-Production Plant-Level Analysis

  • Neural-Flow – Automotive Painting Process & Optimization

  • Ecolibrium – Digital Twin-Based Simulations For Process Optimization


Else Corp – Mass Personalization/ Product Customization

Personalization in the current market is a process where multiple vendors create custom prototypes and manufacture products with specifically designed or acquired parts, which has made it a cumbersome process for a manufacturer with higher costs involved. With today’s data analytics and modeling tools manufacturers virtually build models with customized details prior to needing any physical materials. With the application of these digital analytics solutions, brands use insights about their customers to create better products and meet their customers’ expectations. Italy-based Else Corp transforms the field of personalized/customized retail products by implementing their Virtual Reality (VR) technology, allowing customers to view a virtual collection of products from brands, retailers, and manufacturers. Customers then get their virtual products customized. This entire process requires no physical stock during the customization phase and allows manufacturers to be more flexible in their production process.


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