Worldwide Manufacturing Product and Service Innovation 2018 Predictions

Worldwide Manufacturing Product and Service Innovation 2018 Predictions. AIMLEAP outsourcebigdata is a Trusted Partner for Digital IT, BI Analytics, Automation & Data Management, data processing.  OSP has been successful in creating customer impact by delivering Data Quality Management, Bigdata &  Analytics services.

1. Machine Learning: By the end of 2021, 25% of global manufacturers will apply machine learning to data across product development, supply chain, manufacturing, and service for more rapid decision support, improved quality, differentiated products, and innovative business models.

    2. Omni-Experience Maturity: By the end of 2019, only 25% of global manufacturers will have reached the managed stage of omni-experience transformation by sensing and responding to customer needs more effectively; the remaining 75% risk customer attrition, revenue decline, and slower growth.

 3. Open Innovation: By 2019, 50% of manufacturers will be collaborating directly with customers and consumers regarding new and improved product designs through cloud-based crowdsourcing, virtual reality, and product virtualization, thus realizing up to a 5% year-over-year increase in revenue.

4. Design Commercialization: By 2019, 60% of manufacturers will have integrated their PLM and PIM systems for the continuous improvement of product design and customer experience, thus increasing their customer satisfaction scores.

5. Digital Twin: By the end of 2020, 65% of manufacturers will be using simulation and digital twins to operate products and/or assets, reducing the cost of quality defects and service delivery by up to 25%.

6. Generative Design: By 2019, generative design and biomimicry will be used by 25% of G2000 manufacturers to augment design and engineering decisions, resulting in an improvement of up to 30% in product development cycle time and up to a 5-percentage-point gain in market share.

7. Innovative Blockchains: By 2020, global manufacturers, through the use of blockchains for product design and service delivery, will have improved NPI cycles by up to 30% and will have increased service contract sales by up to 25%.

8. Augmented Service: By 2020, 50% of global OEMs with connected service offerings will have incorporated augmented service execution and/or remote management, thus improving service margins by up to 30%.

9. Gig Economy: Through 2020, augmented reality and mobile devices will drive the transition to the gig economy in the service industry, with "experts for hire" replacing 20% of dedicated customerand field- service workers, starting with consumer durables and electronics.

    10. Service Bots: By the end of 2018, global manufacturers, through the use of service bots throughout the service lifecycle, will have reduced customer service costs by up to 10% and will have improved customer satisfaction scores by up to 3 points.

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