Manufacturing Production in the United States increased 0.70 percent in February of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Manufacturing Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The size of the North America Industrial Manufacturing Industry market was valued at USD 58.35 Million in 2023 and is projected to reach USD 91.39 Million by 2032, with an expected CAGR of 6.62% during the forecast period. The North American industrial manufacturing industry is a cornerstone of economic growth, driving innovation and productivity across sectors. This industry encompasses a wide range of operations, including automotive, aerospace, electronics, machinery, and chemicals, each adapting to changing market demands and technological advancements. As of recent years, digital transformation has become pivotal, with companies increasingly adopting Industry 4.0 technologies like the Internet of Things (IoT), artificial intelligence (AI), robotics, and big data analytics. These innovations are enabling manufacturers to enhance efficiency, reduce costs, and improve production flexibility. A significant trend is the shift towards sustainable practices and renewable energy sources, partly driven by regulatory pressures and the growing emphasis on corporate social responsibility (CSR). Manufacturers are focusing on energy-efficient processes, circular economy principles, and low-emission manufacturing, aiming to meet environmental, social, and governance (ESG) standards. The supply chain disruptions, especially during the COVID-19 pandemic, underscored the need for resilience and prompted investments in supply chain diversification, automation, and local sourcing to mitigate risks. Recent developments include: June 2023: Honeywell, an American global company, and LG CNS are collaborating further to increase smart factories' production efficiency and security. Through this collaboration, the two companies will expand cooperation in building smart factories at home and abroad and strengthen OT (Operating Technology) security, which monitors the production process in real-time and remotely controls facilities., March 2023: LG Energy Solution announced an investment of around KRW 7.2 trillion (USD 5.5 billion) in building a battery manufacturing hub in Queen Creek, Arizona. This hub will include two facilities: one for making cylindrical batteries for electric vehicles (EVs) and another for producing lithium iron phosphate (LFP) pouch-type batteries for energy storage systems (ESS)., October 2022: Emerson announced the evolution of Plantweb, a digital ecosystem incorporating the AspenTech portfolio of asset optimization software powered by industrial artificial intelligence, creating the industry's most comprehensive digital transformation portfolio. Moreover, its Plantweb digital ecosystem, optimized by AspenTech, enables industrial manufacturers across all sectors to "See, Decide, Act, and Optimize" their operations.. Key drivers for this market are: Increasing Demand for Automation to Achieve Efficiency and Quality, Need for Compliance and Government Support for Digitization; Proliferation of Internet of Things. Potential restraints include: Concerns Regarding Data Security, High Initial Installation Costs and Lack of Skilled Workforce Preventing Enterprises from Full-scale Adoption. Notable trends are: Robotics is Expected to Witness Significant Growth.

Machine Learning in Manufacturing Market size was estimated at USD 892.24 Million in 2024 and is projected to reach USD 7383.03 Million by 2031, growing at a CAGR of 33.35% from 2024 to 2031.

Key Market Drivers
Rising Demand for Automation: Efficiency and cost reduction needs in manufacturing are being addressed through a growing adoption of automation technologies. Crucial roles in this are played by machine learning algorithms, enabling tasks like robotic process automation, production line optimization, and quality control improvement.

Growing Adoption of Industrial IoT: Vast amounts of data from sensors embedded in machines and throughout factories are being generated by the widespread implementation of the Industrial Internet of Things (IIoT). This data is then leveraged by machine learning algorithms to identify patterns, predict equipment failures, and optimize maintenance schedules.

Government Initiatives and Funding: The potential of machine learning in manufacturing is increasingly being recognized by governments around the world. This recognition leads to the implementation of supportive policies, funding programs, and research initiatives that are accelerating the development and adoption of these technologies.

Focus on Increased Efficiency and Sustainability: Pressure to become more efficient and sustainable is felt by the manufacturing sector. Utilization of machine learning algorithms to optimize resource usage, reduce waste, and minimize energy consumption is being observed, contributing to a more environmentally friendly manufacturing process.

The United States Manufacturing sector has enjoyed revenue growth over the past five years. A diversified demand across various downstream markets contributed to this performance, with the automotive, electronics and consumer goods industries playing pivotal roles. Technological advancements, particularly in production automation, have significantly enhanced efficiency. The introduction of automated assembly lines and robotics has reduced labor costs and minimized human error. Additive manufacturing, or 3D printing, has enabled rapid prototyping and customization, catering to specific consumer needs. Lean manufacturing techniques have streamlined operations, cutting waste and improving product quality. The sector maintained positive revenue trajectories despite fluctuating commodity prices and increasing regulatory pressures. Global supply chains supported this expansion, with continued importance placed on logistics optimization. The impact of trade agreements like the United States-Mexico-Canada Agreement (USMCA), established in 2020, has also been a critical factor. Innovations like predictive maintenance and leveraging data analytics to foresee equipment failures have optimized operational performance and downtime. These developments have allowed manufacturers to adapt quickly to changing market demands. Over the past five years, the manufacturing sector has faced profit challenges despite revenue expansion, mainly because of rising purchase costs. Higher crude oil prices directly impacted raw material costs and logistics expenses. In response, companies increasingly adopted energy-efficient technologies, such as connected device networks, to control utility costs. Advanced materials like composites and lightweight alloys provided cost-effective alternatives for component manufacturing. One significant regulatory change, the 2018 Tariffs on Steel and Aluminum, increased material costs, prompting companies to seek alternative sourcing strategies. Companies focused on supply chain optimization, employing analytics for precise demand forecasting and inventory management, reducing excess costs. Investments in process automation aimed to minimize manual intervention and enhance throughput rates. The deployment of just-in-time production reduced inventory holding costs, aligning production schedules closely with demand fluctuations. Although consumer demand supported sales volumes, pricing pressures persisted amid competitive market dynamics. To address sustainability mandates, manufacturing processes integrated circular economy principles such as recycling and reuse, aligning cost savings with compliance. Technological advancements like cloud-based ERP systems improved planning and resource allocation, directly impacting financial performance. Manufacturing sector revenue has been expanding at a CAGR of 1.8% over the past five years and is expected to total $6,941.2 billion in 2025, when revenue will fall by an estimated 4.1%. The sector's revenue will exhibit moderate growth over the next five years. Innovation and technology will be crucial drivers, especially with the increased adoption of artificial intelligence and connected device ecosystems in manufacturing operations. Automation and robotics will enhance production efficiency and flexibility, addressing the complexities of modern consumer demands. Continuous developments in machine learning will improve process optimization and quality control standards. Digitalization and smart factory initiatives will transform traditional workflows, driving productivity gains through real-time data insights and transparent operations. Exploration of augmented reality tools will aid in maintenance and training processes, reducing downtime and error rates. Companies will diversify revenue streams by adopting mass customization strategies that appeal to dynamic consumer preferences. Despite these advancements, profit will remain under pressure from continued volatility in raw material costs tied to geopolitical shifts. Environmental regulations like the 2020 Clean Air Act Provisions will continue to push companies toward low-emission technologies. Global trade dynamics, including tariffs and changing consumer expectations, will influence strategic decisions and market positioning. Downstream market performance will continue to impact production planning and inventory management, emphasizing agility and responsiveness. Manufacturing sector revenue is expected to inch upward at a CAGR of 0.4% to $7,086.7 billion over the five years to 2030.

China City Labor Market: Demand: Manufacturing data was reported at 2,357.256 Person th in Mar 2014. This records an increase from the previous number of 1,695.201 Person th for Dec 2013. China City Labor Market: Demand: Manufacturing data is updated quarterly, averaging 1,237.107 Person th from Mar 2001 (Median) to Mar 2014, with 53 observations. The data reached an all-time high of 2,357.256 Person th in Mar 2014 and a record low of 161.484 Person th in Mar 2001. China City Labor Market: Demand: Manufacturing data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Labour Market – Table CN.GJ: City Labor Market: Demand of Labour: by Industry.

The market demand of advanced robotics in the manufacturing industry is expected to grow at a compound annual growth rate of 46 percent over the next four years to reach 3.7 billion U.S. dollars by 2021.

In 2020, the largest share of employees in the manufacturing industry worldwide was expected to take less than a month to reskill. Moreover, more than 22 percent of the workforce in the industry was expected to take between one and three months to adapt to the evolving skills demand.

Manufacturing Operation Management Software Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

Global Manufacturing Operation Management Software Market Drivers

The market drivers for the Manufacturing Operation Management Software Market can be influenced by various factors. These may include:

Industry 4.0 and Digital Transformation: The need for MOM software is driven by the implementation of Industry 4.0 principles, which include automation, networking, data analytics, and integration of digital technologies. Through digital transformation programmes, manufacturers aim to improve efficiency, streamline manufacturing processes, and improve decision-making.
Growing Complexity and Globalisation of Supply Chains: Managing global supply chains, which involve numerous locations, suppliers, and partners, is becoming more and more difficult for manufacturers. Operational efficiency, production synchronisation, and uniformity across dispersed manufacturing plants are all enhanced by MOM software.
Need for Real-Time Visibility and Control: In order to react swiftly to shifting consumer needs and operational problems, manufacturers need real-time visibility into production processes, equipment performance, and inventory levels. In order to maximise production performance, MOM software offers real-time monitoring, analytics, and control capabilities.
Emphasis on Cost Reduction and Operational Efficiency: Through ongoing process optimisation, manufacturers aim to minimise waste, cut costs associated with manufacturing, and increase operational efficiency. Predictive maintenance, quality control, energy efficiency, and resource utilisation are made possible by MOM software, which also helps to reduce costs and increase production.
Regulatory Compliance and Quality Assurance: Manufacturers must adhere to industry rules, customer specifications, and quality standards in order to guarantee product safety, traceability, and compliance. To accomplish regulatory compliance and guarantee product quality, MOM software streamlines the paperwork, audit trails, and quality management procedures.
Growth of IoT Integration and Smart Manufacturing: Real-time data gathering, analysis, and automation are made possible in manufacturing processes by the integration of Internet of Things (IoT) devices, sensors, and connected machinery. Data-driven decision-making, asset optimisation, and predictive maintenance are made possible by the integration of MOM software with IoT platforms.
Demand for Cloud-Based and Software-as-a-Service (SaaS) Solutions: In order to take advantage of scalability, flexibility, and cost-effectiveness, manufacturers are adopting cloud-based and SaaS solutions at a growing rate. The growth of cloud-based MOM software by small and medium-sized manufacturers is fueled by its ability to provide remote access, collaboration, and seamless upgrades.
Increasing Adoption of AI and Advanced Analytics: To allow predictive analytics, optimise manufacturing processes, and extract insights from massive datasets, manufacturers use AI, AI, and machine learning. Demand forecasting, production scheduling, and predictive maintenance are all integrated into MOM software.
Emphasis on Green Manufacturing and Sustainability: Energy efficiency, waste reduction, and environmental conservation are among the sustainability projects that manufacturers give top priority to. By maximising resource utilisation, reducing carbon footprint, and encouraging environmentally friendly practices in manufacturing operations, MOM software helps achieve sustainability goals.
Demand for Flexible and Agile Manufacturing Solutions: In order to customise products, shorten time-to-market, and respond to shifting market demands, manufacturers are looking for flexible and agile manufacturing solutions. Agile manufacturing techniques, such as lean production, just-in-time inventory, and flexible production scheduling, are made possible by MOM software.

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Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars.

In the fiscal year 2020, the electricity demand of the manufacturing industry in Japan amounted to more than 316 billion kilowatt hours. Despite a minor spike in the fiscal years 2017 and 2018, figures have been on a general downward trend since the peak demand of the decade was reached in fiscal 2013 at approximately 353.5 billion kilowatt hours. Japan is one of the global leaders in manufacturing, with major exports including automobiles, consumer electronics, and computers. Its manufacturing industry, therefore, has a high electricity demand for production.

The North America Smart Manufacturing Market size was valued at USD 277.81 USD Billion in 2023 and is projected to reach USD 602.73 USD Billion by 2032, exhibiting a CAGR of 11.7 % during the forecast period. The concept of smart manufacturing involves merging the Internet of Things (IoT), artificial intelligence (AI), and data analytics into manufacturing operations to improve efficiency and productivity. This innovative approach involves different types ranging from predictive maintenance to asset tracking including real-time tracking thus each was designed with customized purposes of the production. Through seamless connectivity, data-driven decision-making, and adaptive automation, smart manufacturing is assisting manufacturers in observing the market needs effortlessly and being proactive. Applications are applied across industries starting from automotive to aerospace, allowing organizations to reap benefits like reduced downtime, higher quality products and of course, significant cost savings. Due to its capability to boost agility, scalability and sustainability; smart manufacturing emerges as the top technique in the North American industrial revolution process that promotes competitiveness and leads to global innovation. Key drivers for this market are: Rising Demand from the Automotive and Construction Sectors to Aid Market Growth. Potential restraints include: High Initial Cost of Investment Restricting Market Growth. Notable trends are: Technological Advancement in Equipment to Propel Market Growth.

This statistic represents the demand distribution of Chinese smart manufacturing in 2018. In that period, flexible assembly systems accounted for around 20 percent of all demand for industry 4.0 products.

According to Cognitive Market Research, the global Custom Manufacturing market size is USD 891.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 356.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 267.36 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 204.98 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.0% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 44.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 17.82 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.7% from 2024 to 2031.
The Load-based ASRS held the highest Custom Manufacturing market revenue share in 2024.

Market Dynamics of Custom Manufacturing Market

Key Drivers for Custom Manufacturing Market

Increased Demand for Personalization to Increase the Demand Globally

As purchaser expectancies evolve, there is a burgeoning call for personalized merchandise tailor-made to character tastes. Custom manufacturing is rising as a pivotal answer, allowing companies to make their offerings with a myriad of options and capabilities. This technique empowers clients, granting them more control over the very last product. From bespoke apparel to customizable tech gadgets, the market is witnessing a shift toward bespoke reports that resonate with each unique patron. This fashion not only fosters more potent logo loyalty but also complements client pleasure with the aid of handing over exactly what they prefer. In essence, the generation of mass customization is upon us, reshaping the panorama of client items.

Advancements in Technology to Propel Market Growth

Technological strides, mainly in three-D printing, additive production, and digital fabrication, are revolutionizing the landscape of custom production. These improvements optimize performance and fee effectiveness, permitting groups to supply tailor-made items with extraordinary pace and affordability. With streamlined methods, turnaround times are substantially decreased, while the power to cater to smaller order portions complements accessibility for a broader spectrum of enterprises. Whether it is crafting difficult prototypes or turning in customized cease-products, these improvements democratize the world of customization, empowering businesses to fulfill various client demands with agility and precision. Consequently, the convergence of technology and manufacturing is reshaping industry paradigms, fostering a dynamic environment wherein customization thrives as a cornerstone of innovation.

Restraint Factor for the Custom Manufacturing Market

High Cost to Limit the Sales

While custom manufacturing gives remarkable flexibility, it regularly includes better expenses according to unit due to smaller manufacturing runs. With economies of scale much less pronounced, charges associated with setup, tooling, and specialized processes can be good sized. Initial investments in gadgets, molds, and eras similarly contribute to the financial burden. Additionally, the intricate nature of customization requires skilled hard work and meticulous excellent manipulation measures, riding up operational expenses. While those better charges pose challenges, they may be frequently justified by using the fee of delivering personalized products that align closely with consumer alternatives. However, corporations should carefully stability the benefits of customization with the vital to manipulate and optimize expenses to make certain long-time period sustainability and competitiveness in the market.

Impact of Covid-19 on the Custom Manufacturing Market

The COVID-19 pandemic profoundly impacted the custom manufacturing marketplace, triggering disruptions throughout international delivery chains, staff shortages, and monetary uncertainties. Lockdown measures and tour regulations hindered manufacturing and distribution, main to delays in...

Explore Additive Manufacturing (AM) Market Regional Demand with our comprehensive analysis. Get insights on North America, Asia Pacific, Europe, and other key regions. Access country-level market data and understand market dynamics and growth potential across different regions.

The Artificial Intelligence (AI) in Manufacturing Market size was valued at USD 1.82 USD billion in 2023 and is projected to reach USD 6.64 USD billion by 2032, exhibiting a CAGR of 20.3 % during the forecast period. AI in manufacturing is the technology using intelligent systems and algorithms in industrial settings for the improvement of productivity and decision making. It uses machine learning, robotics, and analytics to optimize manufacturing operations. Industrial areas of applications are supplying chain management (SCM), predictive maintenance (PM), quality control (QC), and autonomous robotics (AR). AI systems in manufacturing can be classified the following ways: supervised learning for predictive maintenance, unsupervised learning for anomaly detection, reinforcement learning for autonomous robotics, and natural language processing for human-machine interaction. A crucial part of this system includes sensors for data gathering, data processing systems, machine learning systems, robotics, and human-machine interfaces. Right now, trendsetting technologies such as AI with IoT for real-time monitoring, explainable AI for transparency, and AI-driven generative design for product innovation are the most important ingredients for the progress of the technology. Companies experiment with AI enabled replicas of the manufacturing process and AI based supply chains that enables them to be more efficient and resilient. Recent developments include: Microsoft and Siemens announce partnership to develop AI-powered manufacturing solutions

Google and ABB collaborate on AI-based cloud solutions for industrial robotics

IBM and Samsung join forces to advance AI for semiconductor manufacturing. Key drivers for this market are: Rising Demand from the Automotive and Construction Sectors to Aid Market Growth. Potential restraints include: The Change in International Policies is Expected to Impact the Market Growth .

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The size of the Smart Manufacturing Industry market was valued at USD 141.39 Million in 2023 and is projected to reach USD 366.59 Million by 2032, with an expected CAGR of 14.58% during the forecast period. The smart manufacturing industry is rapidly evolving, driven by advancements in technology and a growing emphasis on efficiency, flexibility, and sustainability. This sector integrates digital technologies, such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, and advanced analytics, into traditional manufacturing processes, creating interconnected systems that enhance productivity and decision-making. The market is experiencing significant growth, fueled by increasing demand for automation, real-time data analysis, and improved supply chain management. Key players in this industry are investing heavily in research and development to innovate and create more efficient manufacturing solutions. The smart manufacturing market is projected to expand substantially in the coming years, with forecasts estimating a compound annual growth rate (CAGR) of over 10% during the next decade. Factors contributing to this growth include the need for reducing operational costs, enhancing product quality, and minimizing time-to-market. Additionally, the rising focus on sustainability and environmental responsibility is pushing manufacturers to adopt greener practices through smart technologies. Recent developments include: Dec 2023: TeamViewer announced strategic investments in two pioneering companies for smart factory solutions: Sight Machine and Cybus. This initiative strengthens TeamViewer's dedication to digitalizing industrial workplaces and merging IT & OT. Also, these investments pave the way for TeamViewer to become a top provider of enterprise software, linking manufacturing infrastructure, IT systems, and data analytics., February 2023: General Electric Company announced new enhancements to its cloud-based Manufacturing Execution System (MES). New and improved cloud-based MES software provides cost-effective and configurable OEE, production, and quality control for manufacturers of all sizes. Discrete, process, and mixed environment manufacturers can reduce costs and maintenance while increasing security with a comprehensive cloud MES., July 2022: ABB and SKF entered into a Memorandum of Understanding (MoU) to explore the possibilities for collaboration in the automation of manufacturing processes. Through the partnership, the companies will evaluate and identify and solutions to improve manufacturing capabilities and support clients' increased production efficiency.. Key drivers for this market are: Increasing Demand for Automation to Achieve Efficiency and Quality, Need for Compliance and Government Support for Digitization; Proliferation of Internet of Things. Potential restraints include: Concerns Regarding Data Security, High Initial Installation Costs and Lack of Skilled Workforce Preventing Enterprises from Full-scale Adoption. Notable trends are: Automotive Industry is Expected to Drive the Market Growth.

The size of the Europe Smart Manufacturing Market was valued at USD 54.67 Million in 2023 and is projected to reach USD 74.85 Million by 2032, with an expected CAGR of 4.59% during the forecast period. The Europe smart manufacturing market has been rapidly evolving, driven by the adoption of Industry 4.0 technologies, digital transformation, and an increasing demand for automation in manufacturing. This market encompasses various advanced technologies, including the Internet of Things (IoT), artificial intelligence (AI), cloud computing, big data analytics, and robotics, which are transforming traditional manufacturing processes. These technologies enable real-time data monitoring, predictive maintenance, enhanced operational efficiency, and better decision-making, creating a competitive edge for manufacturers in the region. Countries such as Germany, France, and the United Kingdom lead the European smart manufacturing sector due to strong industrial bases and governmental support for innovation and sustainable practices. Germany, in particular, has pioneered the integration of smart technologies into manufacturing through initiatives like "Industrie 4.0," which focuses on the digitization of manufacturing processes. The European Union also promotes these advancements by providing grants and funding for research and development in smart manufacturing, ensuring the region stays competitive globally. Recent developments include: February 2021 - A remote, forested rise in northern Sweden, some 500 miles from Stockholm, is poised to become the largest single onshore wind farm in Europe. When completed, Önusberget wind farm will have the capacity to generate 753 megawatts, enough to supply the equivalent of more than 200,000 Swedish homes. Luxcara and GE Renewable Energy announced the farm would use 137 Cypress 5.5 MW wind turbines, the most powerful onshore turbines in GE's portfolio., March 2021 - FANUC and Rockwell Automation formed a coalition to address the manufacturing skills gap with robotics and automation apprenticeship programs designed to upskill current and future workers for advanced manufacturing, robotics, and automation jobs. The coalition has developed new apprenticeship programs offering people opportunities to gain credentials, including fundamental robotics (Robot Operator) and automation (PLC Operator). The program offers a second level of credentials for robot and PLC technicians.. Key drivers for this market are: Increasing Demand for Automation to Achieve Efficiency and Quality, Need for Compliance and Government Support for Digitization; Proliferation of Internet of Things. Potential restraints include: Concerns Regarding Data Security, High Initial Installation Costs and Lack of Skilled Workforce Restricting Enterprises from Full-scale Adoption. Notable trends are: Industrial Robotics Technology is Expected to Experience a Healthy Growth over the Forecast Period.