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
