According to Future Market Insights, the engineering analytics market size in Europe reached US$ 572.2 million in 2018. Demand for engineering analytics recorded Y-o-Y growth of 8.0% in 2022, and thus, the Global market is expected to reach US$ 826.8 million in 2023. Over the projection period 2023-2033, engineering analytics sales in the region are projected to exhibit 9.6% CAGR and total a market size of US$ 2,074.2 million by 2033.
Engineering firms are recognizing the importance of data analytics in making sound decisions. The desire to optimize operations, increase efficiency, and cut costs has resulted in an increase in demand for engineering analytics systems that can deliver actionable insights from massive amounts of data.
Engineering analytics-enabled data-driven decision-making can result in significant cost reductions and efficiency advantages. Organizations can streamline their operations and save money by finding inefficiencies, optimizing procedures, and decreasing downtime. Furthermore, predictive maintenance can help to avoid costly equipment breakdowns and optimize maintenance schedules, resulting in additional cost savings.
Other Drivers Propelling the Demand for Engineering Analytics include:
Challenges for Companies /Manufacturers in the Engineering Analytics Market:
Opportunities in the Engineering Analytics Industry:
Latest Trends in the Engineering Analytics Market:
| Attributes | Details |
|---|---|
| Engineering Analytics Market Size (2023) | US$ 826.8 million |
| Engineering Analytics Market Projected Size (2033) | US$ 2,074.2 million |
| Value CAGR (2023 to 2033) | 24.6% |
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From 2018 to 2022, the global engineering analytics market experienced a CAGR of 7.5%, reaching a market size of US$ 826.8 million in 2023.
From 2018 to 2022, Demand for engineering analytics products and services has increased significantly across multiple industries. Companies recognized the value of using data analytics to optimize their engineering processes, increase efficiency, lower costs, and improve overall project outcomes. Analytics tools, platforms, and services have seen growing market use to address specific engineering concerns and enable data-driven decision-making.
Looking ahead, the global engineering analytics industry is expected to rise at a CAGR of 9.6% from 2023 to 2033. During the forecast period, the market size is expected to reach US$ 2,074.2 million.
Engineering projects are becoming more complicated, with bigger data quantities, elaborate systems, and interdependencies. Due to this complexity, there is an increasing demand for
engineering analytics to analyses, evaluate, and extract insights from the massive amounts of data created during the project lifetime.
The integration of data-driven processes and the deployment of digital technology are revolutionizing industries across the board. Engineering firms are rapidly recognizing the importance of harnessing analytics to optimize operations, increase productivity, and improve project outcomes. The demand for engineering analytics is projected to expand as digital transformation initiatives gain traction.
Principal Consultant
| Country | The United States |
|---|---|
| Market Size (US$ million) by End of Forecast Period (2033) | US$ 313.2 million |
| CAGR % 2023 to End of Forecast (2033) | 7.4% |
The engineering analytics market in the United States is expected to reach a market share of 15.1% by 2033, expanding at a CAGR of 7.4%. The integration of digital technologies into engineering processes allows for real-time monitoring, predictive analytics, and optimization, allowing organizations to proactively identify and address issues, minimize downtime, and optimize resource allocation. This digital revolution not only enhances operational efficiency, but it also helps to reduce costs and improve overall project outcomes.
| Country | Germany |
|---|---|
| Market Size (US$ million) by End of Forecast Period (2033) | US$ 172.1 million |
| CAGR % 2023 to End of Forecast (2033) | 8.7% |
The engineering analytics market in the France is expected to reach a market share of 8.3%, expanding at a CAGR of 8.7% during the forecast period. The engineering analytics market in France is expected to surge due to its strong presence in industries like aerospace, automotive, energy, and construction, infrastructure investments, and growing emphasis on sustainability and environmental impact.
The French government and organizations are recognizing the value of digital transformation and data-driven approaches, driving the demand for engineering analytics solutions. Advanced technologies like artificial intelligence, machine learning, and the Internet of Things provide a strong foundation for adoption, enhancing data analysis capabilities and improving operational efficiency and performance.
| Country | The United Kingdom |
|---|---|
| Market Size (US$ million) by End of Forecast Period (2033) | US$ 199.1 million |
| CAGR % 2023 to End of Forecast (2033) | 6.9% |
The engineering analytics industry in The United Kingdom is anticipated to reach a market share of 9.6%, moving at a CAGR of 6.9% during the forecast period. The United Kingdom government's support and investment in the engineering analytics market can significantly boost innovation, collaboration, investment, and regulatory compliance. By funding research and development, creating innovation hubs, and facilitating collaboration, the government encourages the commercialization of cutting-edge analytics solutions. Additionally, government support helps businesses navigate regulatory challenges and build trust in engineering analytics solutions.
| Country | China |
|---|---|
| Market Size (US$ million) by End of Forecast Period (2033) | US$ 240.6 million |
| CAGR % 2023 to End of Forecast (2033) | 10.7% |
The engineering analytics market in China is estimated to reach a market share of 11.6% by 2033, thriving at a CAGR of 10.7%. Engineering analytics adoption in China is driving market growth, benefiting industries like manufacturing, automotive, energy, construction, and transportation. This technology enhances decision-making, asset management, and project outcomes, while also supporting sustainable development and environmental initiatives. China's government's support for digital transformation and smart city initiatives further supports this adoption.
| Country | Japan |
|---|---|
| Market Size (US$ million) by End of Forecast Period (2033) | US$ 112.0 million |
| CAGR % 2023 to End of Forecast (2033) | 9.1% |
The engineering analytics market in Japan is expected to reach a market share of 5.4%, expanding at a CAGR of 9.1% during the forecast period. Japan's rapid adoption of advanced technologies, such as AI, ML, and IoT, is expected to drive the growth of the engineering analytics market. These technologies enable data analysis, pattern recognition, and predictive modeling, while IoT collects real-time data from connected devices and sensors.
Japan's manufacturing sector, known for precision engineering, benefits from AI-powered analytics solutions, while transportation, energy, and construction sectors also benefit from AI-based analytics. The Japanese government's initiatives promote digital transformation and data analytics, fostering an ecosystem conducive to implementing engineering analytics solutions across various sectors.
The data analytics platforms segment is expected to dominate the engineering analytics market with a market share of 45.7% in 2022. Data analytics platforms in the software segment are crucial for analyzing and interpreting engineering data, offering functionalities like data integration, visualization, statistical analysis, predictive modeling, and machine learning.
They enable engineers to extract insights, uncover patterns, detect anomalies, and make informed decisions. The holistic ecosystem of solutions and technologies enables organizations to leverage data for insights and optimization in engineering processes.
The cloud-based deployment is expected to dominate the engineering analytics industry with a CAGR of 14.3% from 2023 to 2033. Cloud-based deployment is driving the engineering analytics market by offering numerous benefits. It eliminates the need for on-premises infrastructure, allowing greater flexibility, scalability, and accessibility. This eliminates the need for hardware investments, reducing upfront costs and enabling better resource alignment.
Cloud-based deployment also provides enhanced accessibility and collaboration, enabling remote work and collaboration across locations. Cloud platforms offer high-level data security, reliability, and scalable computing power, enabling efficient handling of large volumes of data and complex analytics tasks. Integration with complementary cloud services promotes end-to-end solutions, empowering businesses to harness engineering data and optimize processes for improved outcomes.
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The marketplace for engineering analytics is highly competitive, with multiple vendors fighting for market dominance. To stay ahead of the competition in such a circumstance, essential players must employ smart techniques.
Key Strategies Adopted by the Players
Companies spending a lot of money on R&D to create new products that increase efficiency, dependability, and cost-effectiveness. Product innovation enables organizations to differentiate themselves from competitors while also meeting evolving client demands.
Engineering analytics firms frequently collaborating with the technology suppliers such as software vendors, hardware manufacturers, and cloud service providers. Through these collaborations, they are able to connect their analytics solutions with complementary technologies, leverage existing infrastructure, and improve the performance and scalability of their offerings.
In growing economies like as China and India, the engineering analytics business is quickly increasing. To boost their presence in these locations, key companies are expanding their distribution networks and establishing local manufacturing plants.
Mergers and acquisitions are regularly utilized by significant players in the engineering analytics market to consolidate market position, expand product offerings, and gain access to new markets.
Key Players in the Engineering Analytics Industry
Key Developments in the Engineering Analytics Market:
The Engineering Analytics Market CAGR for 2033 is 24.6%.
The market is estimated to secure a valuation of US$ 826.8 million in 2023.
The projected market value of the market for 2033 is US$ 2,074.2 million.
Principal market participants in engineering analytics advance through R&D, alliances, and acquisitions to improve solutions.
ABB, Siemens, and Dassault Systèmes are the key companies in this market.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand Side Trends 1.3. Supply Side Trends 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Key Market Trends 3.1. Key Trends Impacting the Market 3.2. Product Innovation / Development Trends 4. Pricing Analysis 4.1. Pricing Analysis, By Engineering Analytics 4.1.1. Subscription Pricing Model 4.1.2. Perpetual Licensing 4.2. Average Pricing Analysis Benchmark 5. Global Market Demand (Value in US$ Million) Analysis 2018 to 2022 and Forecast, 2023 to 2033 5.1. Historical Market Value (US$ Million) Analysis, 2018 to 2022 5.2. Current and Future Market Value (US$ Million) Projections, 2023 to 2033 5.2.1. Y-o-Y Growth Trend Analysis 5.2.2. Absolute $ Opportunity Analysis 6. Market Background 6.1. Macro-Economic Factors 6.2. Forecast Factors - Relevance & Impact 6.3. Value Chain 6.4. COVID-19 Crisis – Impact Assessment 6.4.1. Current Statistics 6.4.2. Short-Mid-Long Term Outlook 6.4.3. Likely Rebound 6.5. Market Dynamics 6.5.1. Drivers 6.5.2. Restraints 6.5.3. Opportunities 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Component 7.1. Introduction / Key Findings 7.2. Historical Market Size (US$ Million) Analysis By Component, 2018 to 2022 7.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Component, 2023 to 2033 7.3.1. Software 7.3.1.1. Data Analytics Platforms 7.3.1.2. Predictive Modelling Tools 7.3.1.3. Visualization Software 7.3.2. Hardware 7.3.2.1. Servers 7.3.2.2. Storage devices 7.3.2.3. Networking equipment 7.3.3. Services 7.3.3.1. Consulting 7.3.3.2. Implementation 7.3.3.3. Support 7.4. Market Attractiveness Analysis By Component 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Deployment model 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Million) Analysis By Deployment Model, 2018 to 2022 8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Deployment Model, 2023 to 2033 8.3.1. On-premises 8.3.2. Cloud-based 8.4. Market Attractiveness Analysis By Deployment Model 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Million) Analysis By Application, 2018 to 2022 9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Application, 2023 to 2033 9.3.1. Product Design And Development 9.3.2. Supply Chain Optimization, 9.3.3. Quality Control 9.3.4. Predictive Maintenance 9.3.5. Energy Management 9.3.6. Risk Analysis 9.3.7. Asset Optimization 9.4. Market Attractiveness Analysis By Application 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ Million) Analysis By Enterprise Size, 2018 to 2022 10.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033 10.3.1. Small Offices / Enterprises 10.3.2. Medium-Sized Enterprises (MSEs) 10.3.3. Large Enterprises 10.3.4. Very Large Enterprises 10.4. Market Attractiveness Analysis By Enterprise Size 11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ Million) Analysis By Industry, 2018 to 2022 11.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Industry, 2023 to 2033 11.3.1. Manufacturing 11.3.2. Automotive 11.3.3. Energy and utilities 11.3.4. Healthcare 11.3.5. Telecommunications 11.4. Market Attractiveness Analysis By Industry 12. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Region 12.1. Introduction / Key Findings 12.2. Historical Market Size (US$ Million) Analysis By Region, 2018 to 2022 12.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Region, 2023 to 2033 12.3.1. North America 12.3.2. Latin America 12.3.3. Western Europe 12.3.4. Eastern Europe 12.3.5. East Asia 12.3.6. South Asia Pacific 12.3.7. Middle East and Africa 12.4. Market Attractiveness Analysis By Region 13. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033 13.1. Introduction 13.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.3.1. By Component 13.3.2. By Deployment Model 13.3.3. By Application 13.3.4. By Enterprise Size 13.3.5. By Industry 13.3.6. By Country 13.3.6.1. U.S. 13.3.6.2. Canada 13.4. Market Attractiveness Analysis 13.4.1. By Component 13.4.2. By Deployment Model 13.4.3. By Application 13.4.4. By Enterprise Size 13.4.5. By Industry 13.4.6. By Country 13.5. Market Trends 13.6. Key Market Participants - Intensity Mapping 14. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033 14.1. Introduction 14.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.3.1. By Component 14.3.2. By Deployment Model 14.3.3. By Application 14.3.4. By Enterprise Size 14.3.5. By Industry 14.3.6. By Country 14.3.6.1. Brazil 14.3.6.2. Mexico 14.3.6.3. Rest of Latin America 14.4. Market Attractiveness Analysis 14.4.1. By Component 14.4.2. By Deployment Model 14.4.3. By Application 14.4.4. By Enterprise Size 14.4.5. By Industry 14.4.6. By Country 15. Western Europe Crypto APIs Market Analysis 2018 to 2022 and Forecast 2023 to 2033 15.1. Introduction 15.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.3.1. By Component 15.3.2. By Deployment Model 15.3.3. By Application 15.3.4. By Enterprise Size 15.3.5. By Industry 15.3.6. By Country 15.3.6.1. Germany 15.3.6.2. Italy 15.3.6.3. France 15.3.6.4. U.K. 15.3.6.5. Spain 15.3.6.6. BENELUX 15.3.6.7. Nordics 15.3.6.8. Rest of Western Europe 15.4. Market Attractiveness Analysis 15.4.1. By Component 15.4.2. By Deployment Model 15.4.3. By Application 15.4.4. By Enterprise Size 15.4.5. By Industry 15.4.6. By Country 16. Eastern Europe Crypto APIs Market Analysis 2018 to 2022 and Forecast 2023 to 2033 16.1. Introduction 16.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.3.1. By Component 16.3.2. By Deployment Model 16.3.3. By Application 16.3.4. By Enterprise Size 16.3.5. By Industry 16.3.6. By Country 16.3.6.1. Poland 16.3.6.2. Hungary 16.3.6.3. Romania 16.3.6.4. Rest of Eastern Europe 16.4. Market Attractiveness Analysis 16.4.1. By Component 16.4.2. By Deployment Model 16.4.3. By Application 16.4.4. By Enterprise Size 16.4.5. By Industry 16.4.6. By Country 17. South Asia & Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033 17.1. Introduction 17.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 17.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 17.3.1. By Component 17.3.2. By Deployment Model 17.3.3. By Application 17.3.4. By Enterprise Size 17.3.5. By Industry 17.3.6. By Country 17.3.6.1. India 17.3.6.2. Indonesia 17.3.6.3. Malaysia 17.3.6.4. Singapore 17.3.6.5. Australia & New Zealand 17.3.6.6. Rest of South Asia and Pacific 17.4. Market Attractiveness Analysis 17.4.1. By Component 17.4.2. By Deployment Model 17.4.3. By Application 17.4.4. By Enterprise Size 17.4.5. By Industry 17.4.6. By Country 18. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033 18.1. Introduction 18.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 18.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 18.3.1. By Component 18.3.2. By Deployment Model 18.3.3. By Application 18.3.4. By Enterprise Size 18.3.5. By Industry 18.3.6. By Country 18.3.6.1. China 18.3.6.2. Japan 18.3.6.3. South Korea 18.4. Market Attractiveness Analysis 18.4.1. By Component 18.4.2. By Deployment Model 18.4.3. By Application 18.4.4. By Enterprise Size 18.4.5. By Industry 18.4.6. By Country 19. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033 19.1. Introduction 19.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 19.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 19.3.1. By Component 19.3.2. By Deployment Model 19.3.3. By Application 19.3.4. By Enterprise Size 19.3.5. By Industry 19.3.6. By Country 19.3.6.1. GCC Countries 19.3.6.2. Turkey 19.3.6.3. South Africa 19.3.6.4. Rest of Middle East and Africa 19.4. Market Attractiveness Analysis 19.4.1. By Component 19.4.2. By Deployment Model 19.4.3. By Application 19.4.4. By Enterprise Size 19.4.5. By Industry 19.4.6. By Country 20. Key Countries Analysis- Market 20.1. U.S. Market Analysis 20.1.1. By Component 20.1.2. By Deployment Model 20.1.3. By Application 20.1.4. By Enterprise Size 20.1.5. By Industry 20.2. Canada Market Analysis 20.2.1. By Component 20.2.2. By Deployment Model 20.2.3. By Application 20.2.4. By Enterprise Size 20.2.5. By Industry 20.3. Mexico Market Analysis 20.3.1. By Component 20.3.2. By Deployment Model 20.3.3. By Application 20.3.4. By Enterprise Size 20.3.5. By Industry 20.4. Brazil Market Analysis 20.4.1. By Component 20.4.2. By Deployment Model 20.4.3. By Application 20.4.4. By Enterprise Size 20.4.5. By Industry 20.5. Germany Market Analysis 20.5.1. By Component 20.5.2. By Deployment Model 20.5.3. By Application 20.5.4. By Enterprise Size 20.5.5. By Industry 20.6. Italy Market Analysis 20.6.1. By Component 20.6.2. By Deployment Model 20.6.3. By Application 20.6.4. By Enterprise Size 20.6.5. By Industry 20.7. France Market Analysis 20.7.1. By Component 20.7.2. By Deployment Model 20.7.3. By Application 20.7.4. By Enterprise Size 20.7.5. By Industry 20.8. U.K. Market Analysis 20.8.1. By Component 20.8.2. By Deployment Model 20.8.3. By Application 20.8.4. By Enterprise Size 20.8.5. By Industry 20.9. Spain Market Analysis 20.9.1. By Component 20.9.2. By Deployment Model 20.9.3. By Application 20.9.4. By Enterprise Size 20.9.5. By Industry 20.10. Poland Market Analysis 20.10.1. By Component 20.10.2. By Deployment Model 20.10.3. By Application 20.10.4. By Enterprise Size 20.10.5. By Industry 20.11. Hungary Market Analysis 20.11.1. By Component 20.11.2. By Deployment Model 20.11.3. By Application 20.11.4. By Enterprise Size 20.11.5. By Industry 20.12. Romania Market Analysis 20.12.1. By Component 20.12.2. By Deployment Model 20.12.3. By Application 20.12.4. By Enterprise Size 20.12.5. By Industry 20.13. China Market Analysis 20.13.1. By Component 20.13.2. By Deployment Model 20.13.3. By Application 20.13.4. By Enterprise Size 20.13.5. By Industry 20.14. Japan Market Analysis 20.14.1. By Component 20.14.2. By Deployment Model 20.14.3. By Application 20.14.4. By Enterprise Size 20.14.5. By Industry 20.15. South Korea Market Analysis 20.15.1. By Component 20.15.2. By Deployment Model 20.15.3. By Application 20.15.4. By Enterprise Size 20.15.5. By Industry 20.16. India Market Analysis 20.16.1. By Component 20.16.2. By Deployment Model 20.16.3. By Application 20.16.4. By Enterprise Size 20.16.5. By Industry 20.17. Malaysia Market Analysis 20.17.1. By Component 20.17.2. By Deployment Model 20.17.3. By Application 20.17.4. By Enterprise Size 20.17.5. By Industry 20.18. Indonesia Market Analysis 20.18.1. By Component 20.18.2. By Deployment Model 20.18.3. By Application 20.18.4. By Enterprise Size 20.18.5. By Industry 20.19. Singapore Market Analysis 20.19.1. By Component 20.19.2. By Deployment Model 20.19.3. By Application 20.19.4. By Enterprise Size 20.19.5. By Industry 20.20. Australia and New Zealand Market Analysis 20.20.1. By Component 20.20.2. By Deployment Model 20.20.3. By Application 20.20.4. By Enterprise Size 20.20.5. By Industry 20.21. GCC Countries Market Analysis 20.21.1. By Component 20.21.2. By Deployment Model 20.21.3. By Application 20.21.4. By Enterprise Size 20.21.5. By Industry 20.22. Turkey Market Analysis 20.22.1. By Component 20.22.2. By Deployment Model 20.22.3. By Application 20.22.4. By Enterprise Size 20.22.5. By Industry 20.23. South Africa Market Analysis 20.23.1. By Component 20.23.2. By Deployment Model 20.23.3. By Application 20.23.4. By Enterprise Size 20.23.5. By Industry 20.24. Rest of Middle East and Africa Market Analysis 20.24.1. By Component 20.24.2. By Deployment Model 20.24.3. By Application 20.24.4. By Enterprise Size 20.24.5. By Industry 21. Market Structure Analysis 21.1. Market Analysis by Tier of Companies 21.2. Market Share Analysis of Top Players 21.3. Market Presence Analysis 22. Competition Analysis 22.1. Competition Dashboard 22.2. Competition Benchmarking 22.3. Competition Deep Dive 22.3.1. IBM. 22.3.1.1. Business Overview 22.3.1.2. Solution Portfolio 22.3.1.3. Profitability by Market Segments (Business Segments/Region) 22.3.1.4. Key Strategy & Developments 22.3.2. SAS 22.3.3. Microsoft 22.3.4. Oracle 22.3.5. SAP 22.3.6. Amplified Analytics 22.3.7. ANSYS 22.3.8. Dassault Systems 22.3.9. Amazon Web Services 22.3.10. Altair Engineering 22.3.11. Siemens Digital Industries Software. 23. Assumptions and Acronyms Used 24. Research Methodology
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Engineering Analytics Market
