The global enterprise manufacturing intelligence market size stood at US$ 4.0 billion in 2022. It is likely to surpass US$ 13.8 billion by 2032. A CAGR of 13.3% is estimated for the market from 2022 to 2032.
Manufacturing intelligence technology can monitor the entire factory infrastructure with the help of data analytics. It gives users a better understanding of which equipment is not performing to specifications. It also provides details about tools that are not enhancing the overall asset effectiveness and productivity.
Businesses need to be able to view their factory floor operations throughout the organization more than ever before. It is primarily to make quick and more educated choices.
One of the key factors propelling the market ahead is the difficulty in accessing such crucial operational indicators. It is due to complex supply chains, distributed activities, and data that is being gathered in diverse forms.
Various facilities are integrating digital technology to enhance, automate, and modernize their whole workflow as industrial revolution 4.0 takes hold in the industrial sector. The internet of things and other digital transformation technologies are increasingly being integrated as they offer outstanding advantages.
Big data and GPS monitoring are being used by manufacturing organizations to modernize their supply chains. It not only aids in data-driven planning to handle supply, demand, and logistical challenges but also gives them a competitive edge over rivals. It also helps them to stay ahead of the competition.
Big data's emergence is anticipated to have a significant impact on the market's expansion. It might be widely applied in the automotive, aerospace & military, and other industries.
Enterprises can identify, analyze, and fix problems & flaws in their manufacturing unit. It could boost efficiency by integrating big data with enterprise manufacturing intelligence software.
By setting up special training during the production process with virtual and augmented reality, producers can make tweaks or test out new design concepts. They do not have to hold an actual version of the product in their hands.
| Attributes | Key Insights |
|---|---|
| Enterprise Manufacturing Intelligence Market Estimated Size (2022E) | US$ 4.0 billion |
| Projected Market Valuation (2032F) | US$ 13.8 billion |
| Value-based CAGR (2022 to 2032) | 13.3% |
| USA Value-based CAGR (2022 to 2032) | 12.1% |
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As per Future Market Insights (FMI), the global enterprise manufacturing intelligence market witnessed a CAGR of 17.1% from 2017 to 2021. It is set to exhibit steady growth at a CAGR of 13.3% in the forecast period.
Production technologies used in the automotive industry are changing quickly. Manufacturers of original equipment in the sector are also dealing with various difficulties in designing, producing, and modernizing traditional powertrain models. They are aiming to align their production methods with cutting-edge technologies that will improve customer satisfaction and experiences.
Fast expanding usage of robotics in the automotive production process would stimulate demand for industrial intelligence solutions in the automotive industry. Advent of digitalization and artificial intelligence technologies would also drive demand.
The automotive sector has historically been the first to embrace cutting-edge production technologies, from the advanced assembly plant to agile manufacturing procedures. Demand for these technologies is anticipated to be driven by automobile producers and vendors worldwide as the sector deals with short design-to-production periods.
Principal Consultant
North America to Showcase High Demand for Enterprise Manufacturing Intelligence Software
North America enterprise manufacturing intelligence market size stood at a valuation of US$ 1.3 billion in 2021. It had a market size of US$ 1.6 billion in 2022.
It is projected that North America will surpass US$ 5.6 billion in 2032. The region would witness a CAGR of around 41.3% from 2022 to 2032.
The manufacturing industry contributes significantly to the economy of North America. There are a wide variety of manufacturing industries in the region. These include electronics, food & beverage, automotive, aerospace, and automotive. The two largest nations in North America, namely, the USA and Canada are also where the manufacturing facilities are predominantly located.
The USA is considered to be a significant economy in the world. It had a manufacturing output of about US$ 2.3 trillion in 2018. It rose to around US$ 2.4 trillion in 2021.
Enterprise manufacturing intelligence helps with increasing the productivity of manufacturing units by providing real-time data. Rapid expansion of the manufacturing industry is projected to expand demand for enterprise manufacturing intelligence software in North America.
Enterprise Manufacturing Software to Gain Impetus across the USA by 2032
The USA enterprise manufacturing intelligence market size is expected to be worth US$ 4.4 billion by 2032. It would create an absolute dollar opportunity of US$ 3.0 billion in the forecast period.
The USA market witnessed growth at a CAGR of 15.4% from 2017 to 2021. It is set to expand at a CAGR of 12.1% from 2022 to 2032.
Manufacturing sector of the USA includes automotive, electronics, aerospace, food & beverage, pharmaceutical, chemical, and energy production. The country also has few of the world’s biggest companies manufacturing their products. It makes the USA one of the prominent manufacturing countries in the world.
Government of the USA has recently started providing incentives to companies to increase their manufacturing capacity within the country. To increase productivity of their manufacturing units, enterprise manufacturing intelligence software is widely utilized. Hence, rising manufacturing output in the country is projected to expand the market for enterprise manufacturing intelligence software.
The USA is also one of the prominent car manufacturers in the world, producing around 9 million units of cars in 2021. The country also has one of the significant manufacturing sectors contributing to around 11% of its GDP. With rising automation in the manufacturing sector and rapid surge in terms of manufacturing capacities, the market is projected to expand during the assessment period.
Rising Production of Food and Drinks in the United Kingdom to Spur EMI Demand
The United Kingdom enterprise manufacturing intelligence market is likely to be worth US$ 666.3 million by 2032. It would create an absolute dollar opportunity of US$ 460.1 million in the evaluation period.
The United Kingdom showcased steady growth at a CAGR of 15.8% from 2017 to 2021. It is expected to expand at a CAGR of 12.4% from 2022 to 2032.
The United Kingdom has a significant manufacturing industry comprising goods such as metals, automobiles, food & drinks, and tobacco. The manufacturing sector contributed around 17% to the overall GDP in 2021.
The total manufacturing output in the country was around US$ 254 billion in 2018. It rose to around US$ 274 billion in 2021. Rising automation within the manufacturing industry and increasing industrial output are projected to expand demand for enterprise manufacturing intelligence software.
The software will be used to improve the productivity of manufacturing units, Hence, the market for enterprise manufacturing intelligence is projected to elevate in the United Kingdom during the assessment period.
Manufacturing Intelligence Software to Gain Momentum in China as Export Rate Increases
China enterprise manufacturing intelligence market is expected to be worth US$ 1.2 billion by 2032. It would create an incremental opportunity of US$ 883.5 million in the assessment period.
The China market witnessed growth at a CAGR of 18.7% from 2017 to 2021. It is expected to flourish at a CAGR of 14.4% from 2022 to 2032.
China is a predominant country in terms of manufacturing in the world. The country is also called the manufacturing hub of the world.
China is also considered to be a leading exporter of manufactured goods such as computers, broadcasting equipment, and integrated circuits in the world. Total value of exports of China is projected to be around US$ 2 trillion per year.
The total manufacturing output of the country was around US$ 3.8 trillion in 2018. It increased to around US$ 4.8 trillion by 2021. With rapid industrialization and expansion in the manufacturing capacities of various industries, the market for enterprise manufacturing intelligence software is projected to expand during the assessment period.
Improvement in Manufacturing Technologies in Japan to Call for Manufacturing Enterprise System
Japan enterprise manufacturing intelligence industry is expected to be worth US$ 1.0 billion by 2032. It would create an absolute dollar growth of US$ 705.3 million in the forecast period.
The market in Japan showcased growth at a CAGR of 16.2% from 2017 to 2021. It is likely to elevate at a CAGR of 12.7% from 2022 to 2032.
Japan has a significant manufacturing industry contributing around 20% to the GDP. Manufacturing in the country is well known for its high-quality products. These are achieved by continuous improvement in manufacturing technologies and efficient production techniques.
Japan is among the largest manufacturers of automation and robots. It is also a leading manufacturer of automobiles producing about 8.3 million units in 2019.
The manufacturing output of Japan was around 995 billion in 2020. Since there is an increasing demand for automobiles in the country, enterprise manufacturing intelligence software is being utilized. It is used to improve the productivity of manufacturing units to meet the growing demand.
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Demand for Embedded Enterprise Manufacturing Intelligence Software to Expand by 2032
Based on deployment type, the embedded segment is likely to register steady growth at a CAGR of 13.2% from 2022 to 2032. The segment witnessed a CAGR of 16.8% from 2017 to 2021.
In a conventional development cycle, deploying embedded industrial systems that are linked to the web and cloud can take weeks or months. Hence, by decreasing complexity of the underlying hardware, cloud networking tools for embedded systems are crucial tools. These are used to make the procedure for linking embedded systems with cloud-based services simpler.
Sales of Enterprise Conceptual Data Model Services to Surge Worldwide by 2032
The services segment by offering is projected to witness prominent growth by 2032. It showcased growth at a CAGR of 16.5% from 2017 to 2021. It is expected to surge at a CAGR of 13.1% from 2022 to 2032.
Enterprise manufacturing intelligence service providers help businesses with the necessary tools that are required for optimization of their manufacturing process. Production planning is an essential part of manufacturing.
It helps to ensure that the processes are running smoothly and there is little to no wastage of resources. As more manufacturers are looking to improve the productivity of their manufacturing units, demand for service providers is expanding. Hence, the segment is projected to expand during the assessment period.
Market players are investing heavily in research and development activities. They are aiming to launch unique products to offer better productivity. These companies are also focusing on product launches to augment their market positions.
A few recent developments in the enterprise manufacturing intelligence market are
| Attribute | Details |
|---|---|
| Estimated Market Size (2022) | US$ 4.0 billion |
| Projected Market Valuation (2032) | US$ 13.8 billion |
| Value-based CAGR (2022 to 2032) | 13.3% |
| Forecast Period | 2022 to 2032 |
| Historical Data Available for | 2017 to 2021 |
| Market Analysis | Value (US$ billion) |
| Key Regions Covered | North America; Latin America; Europe; East Asia; South Asia; Oceania; Middle East and Africa |
| Key Countries Covered | USA, United Kingdom, Germany, France,Spain, Italy, Japan, China, Singapore, Malaysia, Sri Lanka, Kingdom of Saudi Arabia, United Arab Emirates, South Korea, Finland, Hungary, Rest of the World |
| Key Segments Covered | Deployment Type, Offering, End-use Industry, Region |
| Key Companies Profiled | Honeywell International Inc.; Rockwell Automation Inc.; Schneider Electric SE; Siemens AG; Aspen Technology Inc.; Dassault Systems SA; Emerson Electric Co.; General Electric Co.; SAP SE; Yokogawa Electric Corporation |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Market Dynamics and Challenges, and Strategic Growth Initiatives |
By 2033, the market is expected to be worth US$ 13.8 billion.
The market is to endure at a 13.3% CAGR through 2033.
The sales increased at an HCAGR of 17.1% between 2017 and 2021.
The United Kingdom market to accelerate at a CAGR of 12.4% through 2033.
The North America market is to thrive at a CAGR of 41.3% through 2033.
The embedded segment tends to strengthen at a CAGR of 13.2% between 2022 and 2032.
1. Executive Summary | Enterprise Manufacturing Intelligence Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032
4.1. Historical Market Size Value (US$ billion) Analysis, 2017 to 2021
4.2. Current and Future Market Size Value (US$ billion) Projections, 2022 to 2032
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Deployment Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ billion) Analysis By Deployment Type, 2017 to 2021
5.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Deployment Type, 2022 to 2032
5.3.1. Embedded
5.3.2. Standalone
5.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2017 to 2021
5.5. Absolute $ Opportunity Analysis By Deployment Type, 2022 to 2032
6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Offering
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ billion) Analysis By Offering, 2017 to 2021
6.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Offering, 2022 to 2032
6.3.1. Software
6.3.2. Services
6.4. Y-o-Y Growth Trend Analysis By Offering, 2017 to 2021
6.5. Absolute $ Opportunity Analysis By Offering, 2022 to 2032
7. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By End-use Industry
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ billion) Analysis By End-use Industry , 2017 to 2021
7.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By End-use Industry , 2022 to 2032
7.3.1. Process Industries
7.3.1.1. Chemical
7.3.1.2. Energy & Power
7.3.1.3. Food & Beverages
7.3.1.4. Oil & Gas
7.3.1.5. Pharmaceutical
7.3.1.6. Other Process Industries - Mining & Metals, Paper and Pulp
7.3.2. Discrete Industries
7.3.2.1. Aerospace & Defense
7.3.2.2. Automotive
7.3.2.3. Medical Devices
7.3.2.4. Semiconductors & Electronics
7.4. Y-o-Y Growth Trend Analysis By End-use Industry , 2017 to 2021
7.5. Absolute $ Opportunity Analysis By End-use Industry , 2022 to 2032
8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ billion) Analysis By Region, 2017 to 2021
8.3. Current Market Size Value (US$ billion) Analysis and Forecast By Region, 2022 to 2032
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
9.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2017 to 2021
9.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2022 to 2032
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Deployment Type
9.2.3. By Offering
9.2.4. By End-use Industry
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Deployment Type
9.3.3. By Offering
9.3.4. By End-use Industry
9.4. Key Takeaways
10. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
10.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2017 to 2021
10.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2022 to 2032
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Deployment Type
10.2.3. By Offering
10.2.4. By End-use Industry
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Deployment Type
10.3.3. By Offering
10.3.4. By End-use Industry
10.4. Key Takeaways
11. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
11.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2017 to 2021
11.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2022 to 2032
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. United Kingdom
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Europe
11.2.2. By Deployment Type
11.2.3. By Offering
11.2.4. By End-use Industry
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Deployment Type
11.3.3. By Offering
11.3.4. By End-use Industry
11.4. Key Takeaways
12. Asia Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
12.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2017 to 2021
12.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2022 to 2032
12.2.1. By Country
12.2.1.1. China
12.2.1.2. Japan
12.2.1.3. South Korea
12.2.1.4. Singapore
12.2.1.5. Thailand
12.2.1.6. Indonesia
12.2.1.7. Australia
12.2.1.8. New Zealand
12.2.1.9. Rest of Asia Pacific
12.2.2. By Deployment Type
12.2.3. By Offering
12.2.4. By End-use Industry
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Deployment Type
12.3.3. By Offering
12.3.4. By End-use Industry
12.4. Key Takeaways
13. Middle East and Africa Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
13.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2017 to 2021
13.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2022 to 2032
13.2.1. By Country
13.2.1.1. Gulf Cooperation Council Countries
13.2.1.2. South Africa
13.2.1.3. Israel
13.2.1.4. Rest of Middle East and Africa
13.2.2. By Deployment Type
13.2.3. By Offering
13.2.4. By End-use Industry
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Deployment Type
13.3.3. By Offering
13.3.4. By End-use Industry
13.4. Key Takeaways
14. Key Countries Market Analysis
14.1. USA
14.1.1. Pricing Analysis
14.1.2. Market Share Analysis, 2021
14.1.2.1. By Deployment Type
14.1.2.2. By Offering
14.1.2.3. By End-use Industry
14.2. Canada
14.2.1. Pricing Analysis
14.2.2. Market Share Analysis, 2021
14.2.2.1. By Deployment Type
14.2.2.2. By Offering
14.2.2.3. By End-use Industry
14.3. Brazil
14.3.1. Pricing Analysis
14.3.2. Market Share Analysis, 2021
14.3.2.1. By Deployment Type
14.3.2.2. By Offering
14.3.2.3. By End-use Industry
14.4. Mexico
14.4.1. Pricing Analysis
14.4.2. Market Share Analysis, 2021
14.4.2.1. By Deployment Type
14.4.2.2. By Offering
14.4.2.3. By End-use Industry
14.5. Germany
14.5.1. Pricing Analysis
14.5.2. Market Share Analysis, 2021
14.5.2.1. By Deployment Type
14.5.2.2. By Offering
14.5.2.3. By End-use Industry
14.6. United Kingdom
14.6.1. Pricing Analysis
14.6.2. Market Share Analysis, 2021
14.6.2.1. By Deployment Type
14.6.2.2. By Offering
14.6.2.3. By End-use Industry
14.7. France
14.7.1. Pricing Analysis
14.7.2. Market Share Analysis, 2021
14.7.2.1. By Deployment Type
14.7.2.2. By Offering
14.7.2.3. By End-use Industry
14.8. Spain
14.8.1. Pricing Analysis
14.8.2. Market Share Analysis, 2021
14.8.2.1. By Deployment Type
14.8.2.2. By Offering
14.8.2.3. By End-use Industry
14.9. Italy
14.9.1. Pricing Analysis
14.9.2. Market Share Analysis, 2021
14.9.2.1. By Deployment Type
14.9.2.2. By Offering
14.9.2.3. By End-use Industry
14.10. China
14.10.1. Pricing Analysis
14.10.2. Market Share Analysis, 2021
14.10.2.1. By Deployment Type
14.10.2.2. By Offering
14.10.2.3. By End-use Industry
14.11. Japan
14.11.1. Pricing Analysis
14.11.2. Market Share Analysis, 2021
14.11.2.1. By Deployment Type
14.11.2.2. By Offering
14.11.2.3. By End-use Industry
14.12. South Korea
14.12.1. Pricing Analysis
14.12.2. Market Share Analysis, 2021
14.12.2.1. By Deployment Type
14.12.2.2. By Offering
14.12.2.3. By End-use Industry
14.13. Singapore
14.13.1. Pricing Analysis
14.13.2. Market Share Analysis, 2021
14.13.2.1. By Deployment Type
14.13.2.2. By Offering
14.13.2.3. By End-use Industry
14.14. Thailand
14.14.1. Pricing Analysis
14.14.2. Market Share Analysis, 2021
14.14.2.1. By Deployment Type
14.14.2.2. By Offering
14.14.2.3. By End-use Industry
14.15. Indonesia
14.15.1. Pricing Analysis
14.15.2. Market Share Analysis, 2021
14.15.2.1. By Deployment Type
14.15.2.2. By Offering
14.15.2.3. By End-use Industry
14.16. Australia
14.16.1. Pricing Analysis
14.16.2. Market Share Analysis, 2021
14.16.2.1. By Deployment Type
14.16.2.2. By Offering
14.16.2.3. By End-use Industry
14.17. New Zealand
14.17.1. Pricing Analysis
14.17.2. Market Share Analysis, 2021
14.17.2.1. By Deployment Type
14.17.2.2. By Offering
14.17.2.3. By End-use Industry
14.18. Gulf Cooperation Council Countries
14.18.1. Pricing Analysis
14.18.2. Market Share Analysis, 2021
14.18.2.1. By Deployment Type
14.18.2.2. By Offering
14.18.2.3. By End-use Industry
14.19. South Africa
14.19.1. Pricing Analysis
14.19.2. Market Share Analysis, 2021
14.19.2.1. By Deployment Type
14.19.2.2. By Offering
14.19.2.3. By End-use Industry
14.20. Israel
14.20.1. Pricing Analysis
14.20.2. Market Share Analysis, 2021
14.20.2.1. By Deployment Type
14.20.2.2. By Offering
14.20.2.3. By End-use Industry
15. Market Structure Analysis
15.1. Competition Dashboard
15.2. Competition Benchmarking
15.3. Market Share Analysis of Top Players
15.3.1. By Regional
15.3.2. By Deployment Type
15.3.3. By Offering
15.3.4. By End-use Industry
16. Competition Analysis
16.1. Competition Deep Dive
16.1.1. Honeywell International Inc.
16.1.1.1. Overview
16.1.1.2. Product Portfolio
16.1.1.3. Profitability by Market Segments
16.1.1.4. Sales Footprint
16.1.1.5. Strategy Overview
16.1.1.5.1. Marketing Strategy
16.1.2. Rockwell Automation Inc.
16.1.2.1. Overview
16.1.2.2. Product Portfolio
16.1.2.3. Profitability by Market Segments
16.1.2.4. Sales Footprint
16.1.2.5. Strategy Overview
16.1.2.5.1. Marketing Strategy
16.1.3. Schneider Electric SE
16.1.3.1. Overview
16.1.3.2. Product Portfolio
16.1.3.3. Profitability by Market Segments
16.1.3.4. Sales Footprint
16.1.3.5. Strategy Overview
16.1.3.5.1. Marketing Strategy
16.1.4. Siemens AG
16.1.4.1. Overview
16.1.4.2. Product Portfolio
16.1.4.3. Profitability by Market Segments
16.1.4.4. Sales Footprint
16.1.4.5. Strategy Overview
16.1.4.5.1. Marketing Strategy
16.1.5. Aspen Technology Inc.
16.1.5.1. Overview
16.1.5.2. Product Portfolio
16.1.5.3. Profitability by Market Segments
16.1.5.4. Sales Footprint
16.1.5.5. Strategy Overview
16.1.5.5.1. Marketing Strategy
16.1.6. Dassault Systems SA
16.1.6.1. Overview
16.1.6.2. Product Portfolio
16.1.6.3. Profitability by Market Segments
16.1.6.4. Sales Footprint
16.1.6.5. Strategy Overview
16.1.6.5.1. Marketing Strategy
16.1.7. Emerson Electric Co.
16.1.7.1. Overview
16.1.7.2. Product Portfolio
16.1.7.3. Profitability by Market Segments
16.1.7.4. Sales Footprint
16.1.7.5. Strategy Overview
16.1.7.5.1. Marketing Strategy
16.1.8. General Electric Co.
16.1.8.1. Overview
16.1.8.2. Product Portfolio
16.1.8.3. Profitability by Market Segments
16.1.8.4. Sales Footprint
16.1.8.5. Strategy Overview
16.1.8.5.1. Marketing Strategy
16.1.9. SAP SE
16.1.9.1. Overview
16.1.9.2. Product Portfolio
16.1.9.3. Profitability by Market Segments
16.1.9.4. Sales Footprint
16.1.9.5. Strategy Overview
16.1.9.5.1. Marketing Strategy
16.1.10. Yokogawa Electric Corporation
16.1.10.1. Overview
16.1.10.2. Product Portfolio
16.1.10.3. Profitability by Market Segments
16.1.10.4. Sales Footprint
16.1.10.5. Strategy Overview
16.1.10.5.1. Marketing Strategy
17. Assumptions & Acronyms Used
18. Research Methodology
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Enterprise Manufacturing Intelligence Market
