Operational Historians/Data Platforms

The Operational Historian/Data Platform market research delivers current market analysis plus a five year market and technology forecast.  The research is available in multiple editions including worldwide, all regions, and most major countries.

Accelerated Initiatives in Operational Historian/Data Platforms Increase Production Performance

According to ARC Advisory Group research, the market for Operational Time-series Historian/Industrial Data Platforms is changing and continues to increase. The pandemic was an accelerator for the remote connected worker and digital transformation, and this drives the need for massive amounts of data and data types in today’s digital world, where manufacturing requires the optimization of data accessibility, ease of use, and speed of access, which are driving manufacturing performance across the enterprise. Data is strategic to manufacturing and operations. New data storage platforms that are more secure and enable connectivity and enterprise-wide data access such as cloud, edge, data hubs, and data lakes are fundamental in today’s data-driven manufacturing world.

Operational Historian/Data Platform Strategic Issues

In addition to providing a five-year market forecast, the Operational Historian/Data Platform market research provides detailed quantitative current market data and addresses key strategic issues as follows.

Invest in Real-Time Data Platforms On-premise, Edge, Cloud, Data Hubs, and Data Lakes

Begin the digital transformation with the selection of a robust industrial platform designed for real-time data. Newer platforms should be more secure, enable regulatory compliance, and enable different types of data sources to be combined with traditional real-time historical data. Options for deployment should be flexible and include on-premise, edge, cloud, and data lakes. Start to investigate and deploy Industrial IoT applications along with more traditional data for process decision-making. Start migrating applications to the edge or cloud where it makes sense using a hybrid approach. 

Although some critical data will continue to remain on-site, buyers must take the time to understand data needs and what data is moved to the cloud. The ultimate use of the data must be considered. In some cases, it may be necessary to add new sensors or equipment to the process to obtain the data needed for better business intelligence and outcomes.

Those successfully using digital technologies to support innovation and competitive excellence have to typically buy into the concept of leveraging technology to help “future proof” the business. This is especially true for cloud-based software that enables universal access to data, introduces a collaborative environment for remote workers across the globe, and addresses the security and availability demands of the business. When the power of the cloud is combined with data and advanced applications for engineering and operations, a new level of industrial intelligence becomes available that helps teams proactively respond to circumstances, simplify processes with automation, and continuously innovate. In fact, information and solutions in the cloud can be more secure than on-premises systems.

New platforms and Industrial IoT solutions can make deployment, implementation, and user experience easier and more secure. When implementing Industrial IoT solutions, start with a pilot and based on success, create a roll-out plan.

Consider Hyperscalers for Storage Infrastructure

Hyperscalers use large, distributed infrastructure that can quickly accommodate an increased demand for computing resources without requiring additional physical space, cooling, or electrical power. Hyperscale computing is characterized by standardization, automation, redundancy, high-performance computing (HPC) and high availability (HA). The term is often associated with cloud computing and the very large data centers owned by Facebook, Microsoft, Google, Amazon, and IBM. To accommodate such demand, cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) have developed new infrastructures that maximize hardware density, while minimizing the cost of cooling and administrative overhead.