Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems. The object classes are also designed to be extensible so that they can be used to model more complex processes.In addition to modeling the behavior of existing systems, Simantha is also intended for use with simulation-based optimization and planning applications. For instance, users may be interested in evaluating alternative maintenance policies for a particular system. Estimating the expected system performance under each candidate policy will require a large number of simulation replications when the system is subject to a high degree of stochasticity. Simantha therefore supports parallel simulation replications to make this procedure more efficient.Github repository: https://github.com/usnistgov/simantha
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Manufacturing Production in China increased 5.70 percent in August of 2025 over the same month in the previous year. This dataset provides - China Manufacturing Production- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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This dataset shows the projects that have been approved manufacturing license and/or incentives based on factory location.
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Graph and download economic data for Manufacturers Inventories (MNFCTRIMNSA) from Jan 1992 to Jul 2025 about inventories, manufacturing, and USA.
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Manufacturing Production in Italy decreased 0.67 percent in August of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Italy Manufacturing Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Manufacturing Production in Austria increased 1.80 percent in August of 2025 over the same month in the previous year. This dataset provides - Austria Manufacturing Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Manufacturing Production In the Euro Area increased 2.20 percent in July of 2025 over the same month in the previous year. This dataset provides - Euro Area Manufacturing Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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View monthly updates and historical trends for US Manufacturers Inventories. from United States. Source: Census Bureau. Track economic data with YCharts a…
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Additive Manufacturing Market Size 2025-2029
The additive manufacturing market size is forecast to increase by USD 46.76 billion at a CAGR of 23.9% between 2024 and 2029.
The market is experiencing significant growth, driven primarily by the high demand in the medical device sector for customized and complex components. This trend is further fueled by increasing consumer interest in personalized, 3D-printed products across various industries. However, the market growth is not without challenges. The high initial cost of setting up additive manufacturing facilities remains a significant barrier for entry, limiting the number of players and potentially hindering market penetration. Moreover, the technology's limited material options and the need for specialized expertise pose additional challenges.
To capitalize on the market opportunities and navigate these challenges effectively, companies must focus on collaborations, strategic partnerships, and continuous innovation to reduce costs, expand material offerings, and improve production efficiency. By staying abreast of the latest industry developments and trends, businesses can position themselves to succeed in this dynamic and evolving market.
What will be the Size of the Additive Manufacturing Market during the forecast period?
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The market continues to experience significant growth and innovation, driven by the increasing adoption of industrial 3d printing technologies in various industries. The market's size is projected to expand at a robust rate, with the automotive and industrial segments leading the charge. Technologies such as fuse deposition modeling, stereolithography, and selective laser sintering are gaining popularity due to their ability to produce complex geometries and reduce production expenses. The market is also witnessing increased regulatory scrutiny, leading to the development of certification standards and quality assurance protocols. The integration of advanced scanning software and design software capabilities is enabling more precise and efficient manufacturing processes.
Mergers & acquisitions and collaboration agreements are common as companies seek to expand their offerings and enhance their competitive positions. Despite the advancements, challenges remain, including the need for installation services, addressing the skills gap, and ensuring compatibility with traditional manufacturing methods. Desktop additive manufacturing and desktop 3d printers are also gaining traction for prototyping and educational purposes. The market's future direction lies in the continued development of more advanced technologies, improved design software, and the expansion of applications beyond prototyping to production. The shift from subtractive manufacturing methods to additive manufacturing is transforming industries, offering new opportunities for innovation and cost savings.
The market's dynamics are shaped by ongoing technological advancements, regulatory developments, and industry 4.0 trends.
How is this Additive Manufacturing Industry segmented?
The additive manufacturing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Component
Hardware
Software
Services
End-user
Automotive
Aerospace
Industrial
Healthcare
Defense
Consumer Goods
Education/Research
Others
Material
Plastics
Metals
Ceramics
Others
Technology
Stereolithography
Polyjet printing
Binder jetting
Laser sintering
Fused Deposition Modeling (FDM)
Direct Metal Laser Sintering (DMLS)
Electron Beam Melting (EBM)
Directed Energy Deposition (DED)
Others
Binder jetting
Geography
North America
US
Canada
Europe
France
Germany
Spain
UK
APAC
China
India
Japan
South America
Brazil
Middle East and Africa
UAE
Rest of World
By Component Insights
The hardware segment is estimated to witness significant growth during the forecast period.
Additive manufacturing, also known as 3D printing, is revolutionizing industrial production by enabling the creation of complex parts layer-by-layer. The market for this technology is in a high-growth stage, driven by the increasing adoption in industries such as aerospace, automotive, healthcare, and manufacturing. Industrial 3D printers, which use technologies like Fused Deposition Modeling (FDM), Stereolithography, Selective Laser Sintering (SLS), and Digital Light Processing (DLP), are at the heart of this process. These printers offer advantages such as enhanced material usage, functional parts precision, and reduced production expenses. The dental industry and education sector are witnessing significant growth in the utilization
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Dallas Fed Manufacturing Shipments Index in the United States decreased to 6.70 points in September from 14.20 points in August of 2025. This dataset includes a chart with historical data for the United States Dallas Fed Manufacturing Shipments Index.
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The United States Contract Manufacturing Services Market Report is Segmented by Pharmaceutical Services (Active Pharmaceutical Ingredient Manufacturing, and More), Food Processing and Manufacturing (Food Manufacturing Services, Research and Development, and More), Beverage (Beer, Carbonated Drinks, and More), Personal Care (Skin Care, Hair Care, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).
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energy
In the third quarter of 2024, in Southeast Asia, the industrial production index (IIP) score of manufacturing in Vietnam was *****. In comparison, the IIP of manufacturing in Thailand in the third quarter of 2024 was ****.
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The global manufacturing analytics market size reached USD 15.2 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 65.8 Billion by 2033, exhibiting a growth rate (CAGR) of 17.7% during 2025-2033. The emerging trend of automation in industrial processes, along with the development of Industry 4.0 trends, is primarily augmenting the market growth.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
|
2024
|
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Size in 2024
| USD 15.2 Billion |
Market Forecast in 2033
| USD 65.8 Billion |
Market Growth Rate 2025-2033 | 17.7% |
IMARC Group provides an analysis of the key trends in each segment of the global manufacturing analytics market report, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on component, deployment model, application and industry vertical.
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Graph and download economic data for Manufacturing Sector: Output per Worker for All Workers (PRS30006162) from Q2 1987 to Q2 2025 about productivity, output, sector, per capita, manufacturing, real, rate, and USA.
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The number of manufacturing units in the 2016 Industrial and Service Census, by county and detailed industry category.
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United States - Manufacturers' Value of Shipments: Manufacturing Excluding Transportation was 515367.00000 Mil. of $ in March of 2025, according to the United States Federal Reserve. Historically, United States - Manufacturers' Value of Shipments: Manufacturing Excluding Transportation reached a record high of 536020.00000 in June of 2022 and a record low of 179824.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Manufacturers' Value of Shipments: Manufacturing Excluding Transportation - last updated from the United States Federal Reserve on September of 2025.
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The global manufacturing data analytics market size was valued at USD 12.01 billion in 2023, and it is expected to expand at a compound annual growth rate (CAGR) of 19.8% from 2023 to 2033. The increasing need to improve operational efficiency, optimize supply chains, and enhance product quality by leveraging data analytics capabilities is driving the market growth. The adoption of Industry 4.0 technologies, such as the Internet of Things (IoT) and cloud computing, is also contributing to the market's expansion as it enables real-time data collection and analysis. The market is segmented into various types, including predictive maintenance, inventory management, supply chain optimization, and others. Among these types, predictive maintenance holds a significant market share owing to its ability to reduce downtime, improve equipment reliability, and optimize maintenance schedules. Key industry segments include semiconductor, chemical, energy production, and biopharmaceutical industries, which leverage data analytics to enhance operational efficiency, reduce costs, and optimize production processes. Geographically, North America holds a large market share due to the presence of a strong manufacturing industry and early adoption of advanced technologies.
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Cloud manufacturing and logistics service composition
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View monthly updates and historical trends for US ISM Manufacturing Production Index. from United States. Source: Institute for Supply Management. Track e…
Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems. The object classes are also designed to be extensible so that they can be used to model more complex processes.In addition to modeling the behavior of existing systems, Simantha is also intended for use with simulation-based optimization and planning applications. For instance, users may be interested in evaluating alternative maintenance policies for a particular system. Estimating the expected system performance under each candidate policy will require a large number of simulation replications when the system is subject to a high degree of stochasticity. Simantha therefore supports parallel simulation replications to make this procedure more efficient.Github repository: https://github.com/usnistgov/simantha