Innovation analytics (IA) is an emerging paradigm that integrates advances in the data engineering field, innovation field, and artificial intelligence field to support and manage the entire life cycle of a product and processes. In this chapter, we have identified several possibilities where analytics can help in innovation. First, we aim to explain using a few cases how analytics can help in innovating new products to the market specifically through collaborative engagement of designers and data. Second, we will explain the use of artificial intelligence (AI) techniques in the manufacturing context, which progresses at different levels, i.e., from process, function to function interaction, and factory-level innovations.</p
