There is growing belief that businesses are set to spend huge amounts of money on predictive analytics. While in 2021, the global market for corporate predictive analytics was worth $10 billion, it is forecast to balloon to $28 billion by 2026.\n\nAt this relatively early stage of adoption, many businesses are suffering from tough problems. Research shows nine in 10 businesses are not fully confident in their ability to make future-ready decisions around what they sell, with particular worries around understanding customer behaviour trends. Many lack the necessary quality of data, or the financial resources and internal talent to speedily turn that data into reliable, relevant insights. We frequently hear how they struggle with heavy manual efforts in writing and updating algorithms.\n\nOne thing is certain: the adoption of predictive analytics will continue. This is without a doubt, given executives\u2019 insatiable appetite for systems that allow them to identify future risks and opportunities, and to determine actions that push their businesses ahead of competitors.\n\nSo, which attributes separate the businesses that are successfully running powerful predictive analytics, from those that are stumbling? Here is what we are seeing, in our extensive interactions with businesses worldwide:\n\nAs the impact of excellent predictive analytics on business success becomes ever clearer, project leaders of the future will focus closely on setting the right foundations, building excellent data cultures, and promoting true credibility in the algorithms they deploy.\n\nTo see more, watch our video, AI Adoption Barriers Across Organizations:How to Solve Them & Implement a Data-Driven Strategy.