This report examines the manufacturing sector to understand how the industry has used, is using, and will use digital twin technology. The data suggests that digital twin technology is already transforming the way the manufacturing sector works, and yet is still only just beginning to grow into its potential. By examining a cross-section of more than 2,000 respondents from around the world, this report gives readers an in-depth analysis of all things digital twin in the global manufacturing sector.

Low-cost sensors and new wireless connectivity tools enable manufacturers to employ digital analytics more effectively than ever before. With the right tools, they can gather, cleanse, process, and visualize massive amounts of data from disparate sources that cover all phases of the product lifecycle.

Manufacturers are incorporating advanced machine learning and AI tools into their technology stacks to predict and optimize outcomes in real time—across quality, maintenance, and throughput, in addition to monitoring processes and results. Knowledge graphs running on top of the data infrastructure can map complex relationships across systems, products, and processes; then turn raw data into a connected AI fabric. These technologies empower manufacturers to move from reactive to prescriptive decision-making comprising their complete operational ecosystem. 

This eGuide provides an overview into how manufacturers can extract more value from their data and make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, quality, sales, customer acceptance, and overall equipment efficiency.

Increase shop floor efficiency by identifying hidden indicators for future down times in your manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - for increased value and reduced risk.

Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.