The global enterprise manufacturing intelligence market size reached US$ 3.4 Billion in 2023. Looking forward, the publisher expects the market to reach US$ 9.8 Billion by 2032, exhibiting a growth rate (CAGR) of 12.48% during 2023-2032.
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.
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.
Key Market Segmentation:
The publisher provides an analysis of the key trends in each sub-segment of the global enterprise manufacturing intelligence market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on offering, deployment type, application and end use industry.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 SE.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?
Table of Contents
1 Preface3 Executive Summary12 Value Chain Analysis14 Price Analysis
2 Scope and Methodology
4 Introduction
5 Global Enterprise Manufacturing Intelligence Market
6 Market Breakup by Offering
7 Market Breakup by Deployment Type
8 Market Breakup by Application
9 Market Breakup by End Use Industry
10 Market Breakup by Region
11 SWOT Analysis
13 Porters Five Forces Analysis
15 Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
- 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
- Schneider Electric SE
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 144 |
Published | August 2024 |
Forecast Period | 2023 - 2032 |
Estimated Market Value ( USD | $ 3.4 Billion |
Forecasted Market Value ( USD | $ 9.8 Billion |
Compound Annual Growth Rate | 12.5% |
Regions Covered | Global |
No. of Companies Mentioned | 11 |