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The global enterprise manufacturing intelligence market reached a value of US$ 2.5 Billion in 2020. Looking forward, IMARC Group expects the market to grow at a CAGR of around 16% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.
Enterprise manufacturing intelligence (EMI) refers to a software-based application used for providing real-time information regarding various manufacturing processes. The software collects and presents manufacturing-related data, such as production costs, capacity, quality and availability of resources, to users. The software is often used along with performance, plant and factory management software for data integration, aggregation, contextualization, management and visualization. This assists the businesses in optimizing performance and maximizing outputs. In comparison to the traditionally used systems, novel cloud- and big data-based EMI solutions provide more accurate key performance indicators, process verification and threshold analysis.
Increasing automation in the manufacturing sector, along with the rising need for enhanced operational excellence across industries, is one of the key factors driving the growth of the market. EMI systems are used across various industries, such as food and beverage, oil and gas and pharmaceutical, for monitoring manufacturing processes, minimizing production waste, analyzing manufacturing problems and combining operation data with enterprise resource planning (ERP) applications. Furthermore, significant growth in the automotive industry is providing a boost to the market. EMI systems are used for supervising the assembly line and overcoming the challenges faced while designing, manufacturing and upgrading the traditional manufacturing processes. Various technological advancements, such as the integration of big data, artificial intelligence (AI) and Internet of Things (IoT)-based tools with EMI solutions, are acting as other growth-inducing factors. These systems aid in identifying, analyzing and mitigating issues and faults in the manufacturing units and facilitate efficient data sharing between business units.
IMARC Group provides an analysis of the key trends in each sub-segment of the global enterprise manufacturing intelligence market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on offering, deployment type, application and end use industry.
Breakup by Offering:
Breakup by Deployment Type:
Breakup by Application:
Breakup by End Use Industry:
Breakup by Region:
The report has also analysed the competitive landscape of the market with some of the key players being ABB Ltd., Aspen Technology Inc., Dassault Systèmes SE, Epicor Software Corporation (KKR & Co. Inc.), Honeywell International Inc., Oracle Corporation, Parsec Automation Corp., Qisoft, Rockwell Automation Inc., SAP SE and Schneider Electric.
|Base Year of the Analysis||2020|
|Segment Coverage||Offering, Deployment Type, Application, End Use Industry, Region|
|Region Covered||Asia Pacific, Europe, North America, Latin America, Middle East and Africa|
|Countries Covered||United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico|
|Companies Covered||ABB Ltd., Aspen Technology Inc., Dassault Systèmes SE, Epicor Software Corporation (KKR & Co. Inc.), Honeywell International Inc., Oracle Corporation, Parsec Automation Corp., Qisoft, Rockwell Automation Inc., SAP SE and Schneider Electric|
|Customization Scope||10% Free Customization|
|Report Price and Purchase Option||Single User License: US$ 2299
Five User License: US$ 3399
Corporate License: US$ 4499
|Post-Sale Analyst Support||10-12 Weeks|
|Delivery Format||PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)|
Key Questions Answered in This Report:
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