The advances of communication networks, storage strategies, and security are enabling further infrastructure capacity for automation, connection and scalability leveraging software that continues advancing. These advances are/will be positioning more and more companies for stronger/more proactive predictive maintenance. Organizations looking into the future are monitoring the introduction of next generation of technologies (like Software Define Quantum Communications; Software define radios and networks) that will enhance their ability (capacities and capabilities) to provide the expected system(s) reliability. Preventive maintenance is part of a reliability management program.

It is true that software and communication systems are improving the data collection and analysis that will lead to better predictive maintenance. This data is being collected directly from the machines and automation itself and populating software automatically allowing for improved trouble shooting and better predictability.
I think this will continue to include the maintenance, repair and overhead (MRO) Supply chain by allowing a company to order spare parts based upon predictive data. This will greatly improve the inventory cost of keeping all critical spare parts on the shelf. Up coming, there will be whole data driven strategies of managing MRO materials.
Also, people still play a big role in making this future successful. Properly maintained machines (available run time) are only 1/3 of the productivity equation. Yield (quality) and Rate (potential run speed) are the other two. The data collected has to include elements of these other two variables in order to drive the behaviors necessary to be successful.

1. Primarily Industrial capital equipment vendors like turbine,pump,utility packages, printers...manufactureres will add value to their Annual Maintenance Contracts by online monitoring of wear and tear along with down time optimisation of assets.
2. Software advances in big data analytics and storage will be exploited by theequipment vendors.
3. Advances in Iot and data communication will help the equipment vendors to realize their value added AMC packages.
4. Utilities will be able to manage their assets by optimising OPEX by spending less on spares stocking as well as improving stability of grid operations.
5. All the above are based on the assumption that advances in cyber security keep pace with other trends.

What will be the future source of value added in predictive maintenance?
Ans: value addition is expected as a precondition
for efficient, sustainable service delivery in the future. Progress in the technologies required by PM is
swift and significant. Yet there are still gaps in the way data is translated systematically (or not) into
(customer) benefits, as well as in implementation in specific business models.
Are the business models are primarily shaped by Software OR Hardware vendors will derive the greatest benefits from predictive maintenance
Ans : Most Organisation and group Companies expect that PM business models will be shaped mainly by software capabilities, believing that hardware's share of value added will gradually erode