The global plant asset management market is estimated to capture a valuation of US$ 7.0 billion in 2023 and is projected to surpass a valuation of US$ 21.4 billion by 2033. The market is anticipated to rise at a CAGR of 11.4% during the forecast period.
The increasing desire of several stakeholders to enhance numerous processes across industries and utility facilities to achieve more productivity along with less waste is driving the industry's growth.
With increased digitalization and the implementation of Industry 4.0, more and more stakeholders are embracing lean manufacturing techniques. Plants that use poor procedures have witnessed a 10% to 12% increase in production. The perks of these techniques encourage the adoption of digitalization in industrial processes, resulting in increased market demand.
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Increasing Adoption of Cloud-based Technologies to Boost the Market
The plant asset management strategy calls for several measuring methods to safeguard and forecast the health of plant assets. It gives valuable information regarding the condition of support throughout their life cycle. This data is utilized to optimize plant operations and maintenance, boost production capacity, and adopt predictive maintenance and operational plans.
Furthermore, the increasing adoption of lean manufacturing practices by several organizations, increased emphasis on providing cloud-based PAM solutions to meet customer demands, rising demand for asset management software that can identify potential failures to avoid future losses, and growing need for real-time data analytics are the major factors driving the market growth.
Automotive Industry to Create an Abundance of Investment Opportunities
The automobile sector is increasingly reliant on digital technology. Massive capital investments by market participants in undeveloped areas in emerging nations are also driving the rise of the automobile sector.
Technological advancements such as electric and gas-powered vehicles cause infrastructure changes in the automotive industry; additionally, new machines and equipment have replaced the need for human operators for most of the critical processes in the automotive industry for precise accuracy, which accelerates the demand for PAM solutions for automation assets used in automobile manufacturing plants.
The absence of Trained Professionals may impede the Market's Growth.
A shortage of trained workers is hampering the market's expansion. The World Economic Forum (WEF) stated in its study titled 'The Future of Jobs 2018' that around 54% of the global workforce must be re-skilled or up-skilled to work in disruptive and digital technologies producing the virtual world. Because of a lack of technical understanding, operators are less accepting.
| Attributes | Details |
|---|---|
| Market CAGR (2023 to 2033) | 11.7% |
| Market Valuation (2023) | US$ 7.0 billion |
| Market Valuation (2033) | US$ 21.4 billion |
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During the historical period from 2018-2022, the market grew at a CAGR of 9.6%. The market secured a valuation of US$ 4.4 billion in 2018 and US$ 6.4 billion in 2022.
The implementation of lean manufacturing processes is driving the market. Companies that apply lean manufacturing concepts should consider an asset management system to increase dependability while lowering maintenance and operational costs across various asset classes.
Furthermore, process facilities in the oil and gas sector are complicated, with expensive and crucial production equipment. As the plant's health and performance deteriorate over time owing to wear from various sources, production, and related expenses suffer.
Asset management solutions seek to mitigate this impact by systematic equipment condition monitoring, the avoidance of unscheduled production downtime, and the reduction of operating expenditures through better maintenance planning. All these factors grow at a CAGR of 11.7% over the assessment period from 2023 to 2033.
Plant Asset Management Market:
| Attributes | Plant Asset Management Market |
|---|---|
| CAGR (2023 to 2033) | 11.7% |
| Value (2023) | US$ 7.0 billion |
| Value (2033) | US$ 21.4 billion |
| Trends | Growing demand for sustainable energy management, growing focus on cyber-security, and increasing adoption of wearable technologies such as cloud computing. |
| Opportunities | Rising government initiatives, imposed strict regulations, adoption of remote asset management, and investment in research and development activities. |
Field Service Management Market:
| Attributes | Field Service Management Market |
|---|---|
| CAGR (2023 to 2033) | 11.4% |
| Value (2023) | US$ 4.2 billion |
| Value (2033) | US$ billion |
| Trends | Increasing adoption of artificial intelligence, and adoption of automotive techniques. |
| Opportunities | Increasing number of key players, invest in research and development activities, innovations, and government support. |
Information Technology Service Market:
| Attributes | Information Technology Service Market |
|---|---|
| CAGR (2023 to 2033) | 8% |
| Value (2023) | US$ 6.9 billion |
| Value (2033) | US$ billion |
| Trends | Increasing adoption of BYOD by organizations, increasing cyber-attacks and expanding the financial sector. |
| Opportunities | Investing in cloud computing systems, expanding the oil & gas sector, and growing awareness towards software safety. |
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Oil & Gas Industry helps the Market to Gain Huge Traction
By end-user, the global Plant Asset Management market can be segmented into energy & power, oil & gas, petrochemical, mining & metal, aerospace & defense, and automotive.
Process facilities in the oil and gas sector are very complicated, with expensive and crucial production equipment. As the plant's health and performance deteriorate over time owing to wear from various sources, production, and related expenses suffer.
Asset management solutions seek to mitigate this impact by systematic equipment condition monitoring, the avoidance of unscheduled production downtime, and the reduction of operating expenditures through better maintenance planning.
Automation Assets Exhibit Rapid Growth in the PAM Market during the Forecast Period
The global market can be segmented by asset type into production and automation assets. During the forecast period, the market for automation assets is predicted to grow fastest—the increased use of automation technology to boost production capacity in the process industries.
However, other types of automation systems, such as programmable logic controllers (PLCs) and distributed control systems (DCSs), find applications in discrete sectors, fueling the need for PAM solutions for effective automation asset management.
| Countries | Forecast Share Between 2023 to 2033 |
|---|---|
| United States | 15.8% |
| Germany | 11.8% |
| Japan | 5.4% |
| Australia | 3.5% |
| Countries | Forecast CAGR Between 2023 to 2033 |
|---|---|
| China | 10.5% |
| India | 14.5% |
| United Kingdom | 9.2% |
Availability of Sophisticated IT infrastructure and supporting government actions to promote market growth.
The analysis shows the United States is likely to be a profitable Plant Asset Management market during the forecast period. The United States plant asset management industry is estimated to skyrocket at a CAGR of 10.6%, driven by the region's advanced factory solutions. The United States is estimated to capture 15.8% of the global market by 2033.
The fast adoption of IoT/IIoT across various industries, including manufacturing, automotive, and healthcare, can be attributed to increased internet penetration, the availability of low-cost IoT sensors, and the proliferation of smart-linked devices. The availability of sophisticated IT infrastructure and supporting government actions to promote the region's transition to Industry 4.0 is estimated to fuel the market's growth.
Low Labor Costs and Availability of Trained Workers
China is predicted to be the fastest-growing market during the forecast period. As per the estimations, China's aerospace and military sector is expected to grow by roughly 15% due to rising investments in sophisticated technology in the aerospace and defense sector. China is securing a CAGR of 10.5% in the global market by 2033.
Manufacturing cost control is becoming a top focus for aerospace companies, prompting them to invest in asset management technology. With sophisticated technologies like predictive maintenance and AI, the aircraft industry is deploying PAM solutions to minimize operating expenses.
Analysis reveals that PAM solutions are widely used throughout China due to the increasing industrial industry. Because of the low labor costs and availability of trained workers, major firms from various sectors have relocated their manufacturing units to China. These industrial facilities are utilizing asset management solutions to enhance overall manufacturing processes, which is projected to boost the growth of the PAM market in the area.
FMI highlights top Asset Management startups in the market. These startups are pioneering in several ways inside the Plant Asset Management business and worldwide. They are all outstanding startups worth following. A few of these startups are mentioned below:
The market is highly fragmented by the number of key players globally. The key players play a vital role in developing innovative and advanced products by investing a considerable amount in research and development activities. These key players drive the market by adopting marketing tactics such as mergers, collaborations, product launches, and agreements.
Other Essential Players in the Global Market are:
Recent key developments among players are:
| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ billion for Value |
| Key Countries Covered | United States, United Kingdom, Japan, India, China, Australia, Germany |
| Key Segments Covered | Type, Application, Region |
| Key Companies Profiled | ABB Ltd.; AB SKF; Bentley Systems; CGI Group, Inc.; Dassault Systèmes; Emerson; Endress+Hauser Management AG; General Electrical; Hitachi; Honeywell; IBM Corporation; IFS AB; Ing. Punzenberger COPA-DATA GmbH; Maxwell Technologies Inc; Oracle Corporation; Ramco Systems Ltd.; Rockwell Automation; SAP SE; Siemens; Schneider Electric SA; Yokogawa Electric Corporation |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
| Customization & Pricing | Available upon Request |
The market is anticipated to be valued US$ 7 billion in 2023.
Up until 2033, the market is anticipated to thrive at a CAGR of 11.4%.
The United States market grabs a market share of 15.8%.
The German market to acquire a market share of 11.8%.
By 2033, the market is anticipated to be worth US$ 21.4 billion.
The oil and gas category to hold a significant market share in 2023.
1. Executive Summary 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 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033 5.3.1. Solution 5.3.2. Asset Lifecycle Management 5.3.3. Predictive Maintenance 5.3.4. Work Order Management 5.3.5. Inventory Management 5.3.6. Service 5.3.7. Professional Service 5.3.8. Managed Service 5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033 6.3.1. Cloud 6.3.2. On-premise 6.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Asset Type 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Asset Type , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Asset Type , 2023 to 2033 7.3.1. Production 7.3.2. Automation 7.4. Y-o-Y Growth Trend Analysis By Asset Type , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Asset Type , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033 8.3.1. Energy & Power 8.3.2. Oil & Gas 8.3.3. Petrochemicals 8.3.4. Mining & Metals 8.3.5. Aerospace & Defense 8.3.6. Automotive 8.3.7. Other 8.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Western Europe 9.3.4. Eastern Europe 9.3.5. South Asia and Pacific 9.3.6. East Asia 9.3.7. Middle East and Africa 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. U.S. 10.2.1.2. Canada 10.2.2. By Component 10.2.3. By Deployment 10.2.4. By Asset Type 10.2.5. By End User 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component 10.3.3. By Deployment 10.3.4. By Asset Type 10.3.5. By End User 10.4. Key Takeaways 11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Component 11.2.3. By Deployment 11.2.4. By Asset Type 11.2.5. By End User 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By Deployment 11.3.4. By Asset Type 11.3.5. By End User 11.4. Key Takeaways 12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. U.K. 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Western Europe 12.2.2. By Component 12.2.3. By Deployment 12.2.4. By Asset Type 12.2.5. By End User 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By Deployment 12.3.4. By Asset Type 12.3.5. By End User 12.4. Key Takeaways 13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. Poland 13.2.1.2. Russia 13.2.1.3. Czech Republic 13.2.1.4. Romania 13.2.1.5. Rest of Eastern Europe 13.2.2. By Component 13.2.3. By Deployment 13.2.4. By Asset Type 13.2.5. By End User 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By Deployment 13.3.4. By Asset Type 13.3.5. By End User 13.4. Key Takeaways 14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. India 14.2.1.2. Bangladesh 14.2.1.3. Australia 14.2.1.4. New Zealand 14.2.1.5. Rest of South Asia and Pacific 14.2.2. By Component 14.2.3. By Deployment 14.2.4. By Asset Type 14.2.5. By End User 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By Deployment 14.3.4. By Asset Type 14.3.5. By End User 14.4. Key Takeaways 15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. China 15.2.1.2. Japan 15.2.1.3. South Korea 15.2.2. By Component 15.2.3. By Deployment 15.2.4. By Asset Type 15.2.5. By End User 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Component 15.3.3. By Deployment 15.3.4. By Asset Type 15.3.5. By End User 15.4. Key Takeaways 16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Component 16.2.3. By Deployment 16.2.4. By Asset Type 16.2.5. By End User 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Component 16.3.3. By Deployment 16.3.4. By Asset Type 16.3.5. By End User 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. U.S. 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Component 17.1.2.2. By Deployment 17.1.2.3. By Asset Type 17.1.2.4. By End User 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Component 17.2.2.2. By Deployment 17.2.2.3. By Asset Type 17.2.2.4. By End User 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Component 17.3.2.2. By Deployment 17.3.2.3. By Asset Type 17.3.2.4. By End User 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Component 17.4.2.2. By Deployment 17.4.2.3. By Asset Type 17.4.2.4. By End User 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Component 17.5.2.2. By Deployment 17.5.2.3. By Asset Type 17.5.2.4. By End User 17.6. U.K. 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Component 17.6.2.2. By Deployment 17.6.2.3. By Asset Type 17.6.2.4. By End User 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Component 17.7.2.2. By Deployment 17.7.2.3. By Asset Type 17.7.2.4. By End User 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Component 17.8.2.2. By Deployment 17.8.2.3. By Asset Type 17.8.2.4. By End User 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Component 17.9.2.2. By Deployment 17.9.2.3. By Asset Type 17.9.2.4. By End User 17.10. Poland 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Component 17.10.2.2. By Deployment 17.10.2.3. By Asset Type 17.10.2.4. By End User 17.11. Russia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Component 17.11.2.2. By Deployment 17.11.2.3. By Asset Type 17.11.2.4. By End User 17.12. Czech Republic 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Component 17.12.2.2. By Deployment 17.12.2.3. By Asset Type 17.12.2.4. By End User 17.13. Romania 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Component 17.13.2.2. By Deployment 17.13.2.3. By Asset Type 17.13.2.4. By End User 17.14. India 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Component 17.14.2.2. By Deployment 17.14.2.3. By Asset Type 17.14.2.4. By End User 17.15. Bangladesh 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Component 17.15.2.2. By Deployment 17.15.2.3. By Asset Type 17.15.2.4. By End User 17.16. Australia 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Component 17.16.2.2. By Deployment 17.16.2.3. By Asset Type 17.16.2.4. By End User 17.17. New Zealand 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Component 17.17.2.2. By Deployment 17.17.2.3. By Asset Type 17.17.2.4. By End User 17.18. China 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Component 17.18.2.2. By Deployment 17.18.2.3. By Asset Type 17.18.2.4. By End User 17.19. Japan 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Component 17.19.2.2. By Deployment 17.19.2.3. By Asset Type 17.19.2.4. By End User 17.20. South Korea 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Component 17.20.2.2. By Deployment 17.20.2.3. By Asset Type 17.20.2.4. By End User 17.21. GCC Countries 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Component 17.21.2.2. By Deployment 17.21.2.3. By Asset Type 17.21.2.4. By End User 17.22. South Africa 17.22.1. Pricing Analysis 17.22.2. Market Share Analysis, 2022 17.22.2.1. By Component 17.22.2.2. By Deployment 17.22.2.3. By Asset Type 17.22.2.4. By End User 17.23. Israel 17.23.1. Pricing Analysis 17.23.2. Market Share Analysis, 2022 17.23.2.1. By Component 17.23.2.2. By Deployment 17.23.2.3. By Asset Type 17.23.2.4. By End User 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Component 18.3.3. By Deployment 18.3.4. By Asset Type 18.3.5. By End User 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. ABB Ltd. 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. AB SKF 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Bentley Systems 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. CGI Group, Inc. 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. Dassault Systèmes 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. Emerson 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Endress+Hauser Management AG 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. General Electrical 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Hitachi 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. Honeywell 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 19.1.11. IBM Corporation 19.1.11.1. Overview 19.1.11.2. Product Portfolio 19.1.11.3. Profitability by Market Segments 19.1.11.4. Sales Footprint 19.1.11.5. Strategy Overview 19.1.11.5.1. Marketing Strategy 19.1.12. IFS AB 19.1.12.1. Overview 19.1.12.2. Product Portfolio 19.1.12.3. Profitability by Market Segments 19.1.12.4. Sales Footprint 19.1.12.5. Strategy Overview 19.1.12.5.1. Marketing Strategy 19.1.13. Ing. Punzenberger COPA-DATA GmbH 19.1.13.1. Overview 19.1.13.2. Product Portfolio 19.1.13.3. Profitability by Market Segments 19.1.13.4. Sales Footprint 19.1.13.5. Strategy Overview 19.1.13.5.1. Marketing Strategy 19.1.14. Maxwell Technologies Inc 19.1.14.1. Overview 19.1.14.2. Product Portfolio 19.1.14.3. Profitability by Market Segments 19.1.14.4. Sales Footprint 19.1.14.5. Strategy Overview 19.1.14.5.1. Marketing Strategy 19.1.15. Oracle Corporation 19.1.15.1. Overview 19.1.15.2. Product Portfolio 19.1.15.3. Profitability by Market Segments 19.1.15.4. Sales Footprint 19.1.15.5. Strategy Overview 19.1.15.5.1. Marketing Strategy 19.1.16. Ramco Systems Ltd. 19.1.16.1. Overview 19.1.16.2. Product Portfolio 19.1.16.3. Profitability by Market Segments 19.1.16.4. Sales Footprint 19.1.16.5. Strategy Overview 19.1.16.5.1. Marketing Strategy 19.1.17. Rockwell Automation 19.1.17.1. Overview 19.1.17.2. Product Portfolio 19.1.17.3. Profitability by Market Segments 19.1.17.4. Sales Footprint 19.1.17.5. Strategy Overview 19.1.17.5.1. Marketing Strategy 19.1.18. SAP SE 19.1.18.1. Overview 19.1.18.2. Product Portfolio 19.1.18.3. Profitability by Market Segments 19.1.18.4. Sales Footprint 19.1.18.5. Strategy Overview 19.1.18.5.1. Marketing Strategy 19.1.19. Siemens 19.1.19.1. Overview 19.1.19.2. Product Portfolio 19.1.19.3. Profitability by Market Segments 19.1.19.4. Sales Footprint 19.1.19.5. Strategy Overview 19.1.19.5.1. Marketing Strategy 19.1.20. Schneider Electric SA 19.1.20.1. Overview 19.1.20.2. Product Portfolio 19.1.20.3. Profitability by Market Segments 19.1.20.4. Sales Footprint 19.1.20.5. Strategy Overview 19.1.20.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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