Enterprise Manufacturing Intelligence Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

Enterprise Manufacturing Intelligence Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

  • September 2021 •
  • 146 pages •
  • Report ID: 5968601 •
  • Format: PDF
The global enterprise manufacturing intelligence market exhibited strong growth during 2015-2020.

Looking forward, the analyst 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.

Breakup by Offering:
Software
Services

Breakup by Deployment Type:
Embedded
Standalone

Breakup by Application:
Data Integration
Data Management and Analytics
Real-Time Visualization

Breakup by End Use Industry:
Automotive
Energy and Power
Consumer Packaged Goods
Medical Products
Aerospace and Defense
Electronics and Semiconductors
Pharmaceuticals and Biotech
Oil and Gas
Food and Beverages
Chemical
Others

Breakup by Region:
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

Competitive Landscape:
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. Key Questions Answered in This Report:

How has the global enterprise manufacturing intelligence market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global enterprise manufacturing intelligence market?
What are the key regional markets?
What is the breakup of the market based on the offering?
What is the breakup of the market based on the deployment type?
What is the breakup of the market based on the application?
What is the breakup of the market based on the end use industry?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global enterprise manufacturing intelligence market and who are the key players?
What is the degree of competition in the industry?