Enterprise Manufacturing Intelligence Market Analysis By Technology, By Application, By End-use, By Product & Service, And Segment Forecasts, 2018 To 2023

Enterprise Manufacturing Intelligence

The enterprise manufacturing intelligence market is projected to grow at a CAGR of 14.50% during the forecast period to reach a market size of US$4.068 billion in 2023, from US$1.805 billion in 2017. Enterprise Manufacturing Intelligence or EMI is the set of software solutions that deliver real-time information about manufacturing processes to help businesses optimize the performance of these processes as well as manufacturing yields. The EMI software gathers and analyses production data, provides role-based visualization and helps manufacturers reduce waste. The software also enables the improvement in manufacturing processes, identification of best practices, and the ability to respond to exceptions and events. The market is driven by the ability of the EMI allowing users to easily find the information they need, regardless of their source, and easily perform analysis on all the characteristics of manufacturing, whether information related to production costs, quality, capacity, resources available, or any other performance indicator (KPI) that they want to set.

This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical regions. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.

Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study have been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top-down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the global enterprise manufacturing intelligence (EMI) chain. The last step involves complete market engineering which includes analyzing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.

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Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the Global Enterprise Manufacturing Intelligence (EMI) market.
Major industry players profiled as part of the report are InfinityQS, General Electric Company, Oracle and Epicor Software Corporation among others.

Segmentation

• By Deployment Model
o On-Premise
o Cloud

• By Offering
o Software
o Services

• By Industry Verticals
o Chemical
o Manufacturing
o Food and Beverage
o Energy and Power
o Pharmaceutical
o Oil and Gas
o Aerospace and Defence
o Others

• By Geography
o North America
 United States
 Canada
 Others
o South America
 Brazil
 Argentina
 Others
o Europe
 United Kingdom
 Germany
 France
 Others
o Middle East and Africa
o Asia Pacific
 China
 India
 Australia
 South Korea
 Others

Table of Content

1. Introduction
1.1. Market Definition
1.2. Scope of the Study
1.3. Currency
1.4. Assumptions
1.5. Base, and Forecast Years Timeline

2. Research Methodology
2.1. Research Design
2.2. Secondary Sources
2.3. Validation

3. Key Findings of the Study

4. Market Dynamics
4.1. Drivers
4.2. Restraints
4.3. Opportunities and Market Trends
4.4. Market Segmentation
4.5. Porter’s Five Forces Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Industry Value Chain Analysis
4.7. Industry Regulations
4.8. Scenario Analysis

5. Global Enterprise Manufacturing Intelligence (EMI) Market Forecast by Deployment Model (US$ billion)
5.1. On Premise
5.2. Cloud

6. Global Enterprise Manufacturing Intelligence (EMI) Market Forecast by Offering (US$ billion)
6.1. Software
6.2. Services

7. Global Enterprise Manufacturing Intelligence (EMI) Market Forecast by Industry Verticals
7.1. Chemical
7.2. Manufacturing
7.3. Food and Beverage
7.4. Energy and Power
7.5. Pharmaceutical
7.6. Oil and Gas
7.7. Aerospace and Defence
7.8. Other

8. Global Enterprise Manufacturing Intelligence (EMI) Market Forecast by Geography (US$ billion)
8.1. North America
8.1.1. The U.S
8.1.2. Canada
8.1.3. Mexico
8.1.4. Others
8.2. South America
8.2.1. Brazil
8.2.2. Argentina
8.2.3. Others
8.3. Europe
8.3.1. U.K.
8.3.2. France
8.3.3. Germany
8.3.4. Italy
8.3.5. Others
8.4. Middle East and Africa
8.5. Asia Pacific
8.5.1. China
8.5.2. India
8.5.3. Australia
8.5.4. South Korea
8.5.5. Others

9. Competitive intelligence
9.1. Market Share Analysis
9.2. Strategies of Key Players
9.3. Recent Investments and Deals

10. Company Profiles
10.1. InfinityQS
10.1.1. Overview
10.1.2. Financials
10.1.3. Product and Services
10.1.4. SWOT Analysis
10.2. Sage Clarity Systems
10.2.1. Overview
10.2.2. Financials
10.2.3. Product and Services
10.2.4. SWOT Analysis
10.3. Schneider Electric
10.3.1. Overview
10.3.2. Financials
10.3.3. Product and Services
10.3.4. SWOT Analysis
10.4. General Electric Company
10.4.1. Overview
10.4.2. Financials
10.4.3. Product and Services
10.4.4. SWOT Analysis
10.5. Rockwell Automation, Inc.
10.5.1. Overview
10.5.2. Financials
10.5.3. Product and Services
10.5.4. SWOT Analysis
10.6. Siemens AG
10.6.1. Overview
10.6.2. Financials
10.6.3. Product and Services

……Continued

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