ThingWorx Solutions for High Impact Industrial Use Cases

Achieve real-time insights into your manufacturing operations

Digital transformation is critical to success in a changing industry

Manufacturers are accelerating their digital transformation initiatives faster than ever before. According to Forrester, 91% of manufacturers feel that digital transformation is a top initiative for manufacturing operations and nearly three quarters of executive respondents expect significant business impacts from these efforts in the next two years.

ThingWorx solutions accelerate time to value and time to scale by focusing on use cases that have substantive impact on the P&L while building a foundation for digital transformation. High-impact applications replace custom, bespoke approaches with repeatable, configured, not coded, applications that leverage the domain expertise from hundreds of successful implementations.

ThingWorx Solutions will:

  • Rapidly deploy to improve time to value
  • Scale digital transformation across the enterprise in a fraction of the time

Lay the foundation for industrial transformation with ThingWorx solutions

  • Ready to configure solutions: Significantly reduce time needed to design code and test solutions.
  • Rapid implementation: Configure-not-code approach configuration services get you started in as little as 90 days.
  • Wrap and extend: ThingWorx Solutions works with your existing systems and infrastructure. No need to rip and replace.
  • Future-proofed roadmap for continuous innovation: The high-impact solutions align to the most common requirements. This enables companies to rapidly create a foundation for digital transformation. Using our scalable, extensible platform, they can iteratively extend into additional digital transformation use cases.

Built on the ThingWorx Industrial IoT Platform – the most proven, purpose-built industrial IoT platform, delivering native industrial connectivity, rapid application development, and ultimate flexibility – powered by a vibrant ecosystem