Unleashing the potential growth with Data-driven Manufacturing

whitePaper | September 21, 2022

In the spring of 2021, the Manufacturing Leadership Council, a division of the National Association of Manufacturers, launched its Manufacturing in 2030 Project. The project’s main goal is to enable manufacturers to envision what manufacturing might look like by the year 2030.

whitePaper | March 17, 2022

Manufacturing industry professionals must corral and understand massive amounts of data from many systems to drive operational efficiencies, higher levels of service, supply chain resiliency, and ultimately a complete view of the business. Having the ability to explore the impact of and interplay among changes in production efficiency, product quality, customer demand, and service excellence isn’t possible without visibility into data and meaningful data analytics. This “big data” approach to manufacturing operations and supply chain optimization can deliver big results and is at the heart of the digital transformation initiatives of many industrial companies.

whitePaper | September 13, 2022

From big data to analytics and the Internet of Things, digital transformation is disrupting every aspect of the way manufacturers operate. Market leaders who embrace this change will come out on top. Those slow to react – whether they’re industry giants or niche players – will be left behind and may struggle to survive. Winners are harnessing the power of cloud and application technologies to become more agile and operate more efficiently. They’re leveraging emerging technologiesto deliver compelling customer experiences and launch innovative new services, as well as creating new business models to scale, grow, and stay ahead of the pack.

whitePaper | August 1, 2022

One of the most important decisions that an asset-intensive enterprise must make is how to manage and care for its assets (i.e. equipment, buildings, plants and machinery). This is a decision that affects everyone in the organization, from the plant operators, to the engineers and all the way to executives in the C-suite. The solution will be different depending on the needs of the business and how each uses its assets.

whitePaper | March 23, 2023

The fourth industrial revolution is transforming the manufacturing industry as we speak. Industry 4.0 is digitally driven, and like all other revolutions, the transformation did not happen overnight. Since the first personal computer on a factory floor in 1970s, computer-aided design has developed and matured exponentially. Strategically eective evolutionary steps has resulted in productivity and eciency gains in manufacturing. We live in the Industry 4.0 era, characterized by the digitization of manufacturing processes. Inevitably, today, information plays a significant role for an enterprise transformation. Data on how the product’s design and manufacturing information is authored, exchanged, and processed is critical to competitiveness. Information ‘silos’ for various life cycle processes are gradually connected to form a digital thread of information, envisioned to integrate and drive modern product design, manufacturing, and product support service processes.

whitePaper | November 1, 2022

Industry 4.0—also referred to as smart manufacturing, connected manufacturing, the Industrial Internet of Things (IIoT), and other monikers—has revolutionized the way companies manufacture, enhance, and distribute products through the use of new technologies. However, not all sectors and markets are evolving at the same pace. To help both manufacturing providers and industry leaders understand the landscape, ABI Research’s Industrial & Manufacturing Markets Research provides insights, perspectives, and data related to digital maturity within individual markets and across the industry landscape. Our research illuminates drivers and inhibitors that are shaping adoption of digital technologies across market maturity, practitioners’ investment priorities, and best practices for deploying the technologies. We keep abreast of key trends, including increasing demand for electric vehicles and semiconductor chips, the adoption of machine learning and automation, and a reliance on digital twins.