This dataset is about books and is filtered where the book subjects is Service industries-Quality control-Statistical methods. It has 9 columns such as author, BNB id, book, book publisher, and book subjects. The data is ordered by publication date (descending).

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Automated Industrial Quality Control (Qc) Market Size 2024-2028

The automated industrial quality control (qc) market size is forecast to increase by USD 269.5 million at a CAGR of 5.97% between 2023 and 2028.

The market is experiencing significant growth due to the increasing importance of accuracy in manufacturing processes. As industries prioritize error-free production, automated QC systems have become essential for ensuring product consistency and reducing human error. Another trend driving market growth is the reshoring of manufacturing industries, which has led to a renewed focus on domestic production and the adoption of advanced technologies to maintain quality standards. However, challenges persist, including the lack of effective interoperability between different QC systems and the high cost of implementation. To address these challenges, market participants are investing in developing open standards and collaborating to create interoperable solutions.Overall, the automated industrial QC market is poised for continued growth as industries seek to improve production efficiency and maintain high-quality standards.

What will be the Size of the Automated Industrial Quality Control (Qc) Market During the Forecast Period?

Request Free SampleThe market encompasses the deployment of digital technology, including machine learning, physics-based modeling, and augmented reality (AR), to enhance industrial processes and ensure product consistency. This market is experiencing significant growth, driven by the increasing adoption of industrial automation systems and the integration of advanced sensors and SCADA (Supervisory Control and Data Acquisition) systems with HMIs (Human-Machine Interfaces). Cloud computing plays a pivotal role in facilitating remote monitoring and real-time data analysis, further bolstering market expansion. Beyond traditional manufacturing industries, the automated QC market is gaining traction in sectors such as in vitro diagnostics, immunochemistry, molecular diagnostics, and healthcare, including hospitals and home care.Applications span various industries, including HIV, infectious illnesses, autoimmune disorders, chronic diseases, and cancer. The market's trajectory is marked by the development of advanced quality control products, industrial control systems, automation devices, and cloud-based services, all aimed at improving efficiency, accuracy, and overall product quality.

How is this Automated Industrial Quality Control (Qc) Industry segmented and which is the largest segment?

The automated industrial quality control (qc) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. End-userAutomotive industryMetal industryElectronics industryOthersSolutionHardware and softwareServiceGeographyEuropeGermanyFranceNorth AmericaUSAPACChinaJapanSouth AmericaMiddle East and Africa

By End-user Insights

The automotive industry segment is estimated to witness significant growth during the forecast period. Automated industrial quality control systems play a crucial role In the manufacturing sector, particularly In the automotive industry, where continuous production and high-quality standards are essential. These systems optimize the performance of assembly and material handling equipment, conveyor systems, industrial robots, and welding equipment. By implementing machine learning algorithms, physics-based modeling, and augmented reality technologies, manufacturers can enhance production rates, minimize errors, and ensure consistent product quality. Cloud computing and SCADA (Supervisory Control and Data Acquisition) systems facilitate remote supervision and data management, enabling real-time monitoring and analysis. Industrial sensors and digital technology further integrate with these systems to provide advanced quality control solutions.The defense industry, pharmaceuticals, oil and gas, and electrical power sectors also benefit from automated industrial quality control systems, which support digital transformation and improve overall efficiency. Key applications include in vitro diagnostics, immunochemistry, molecular diagnostics, clinical chemistry, hematology, coagulation and hemostasis, microbiology, and various chronic diseases and cancer diagnosis. Automated industrial quality control systems contribute to reducing the burden of diseases and improving the availability of fast diagnosis systems, ultimately leading to better patient outcomes.

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The Automotive industry segment was valued at USD 247.60 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 37% to the g

The Industrial Control Systems Market is Segmented by Operational Technology (Supervisory Control and Data Acquisition (SCADA), Distributed Control System (DCS), Programmable Logic Controller (PLC), Intelligent Electronic Devices (IED), Human Machine Interface (HMI), and Other Systems), by Software (Asset Performance Management (APM), Product Lifecycle Management (PLM), Manufacturing Execution System (MES), Enterprise Resource Planning (ERP)), by End-User Industry (Oil & Gas, Chemical and Petrochemical, Power & Utilities, Food & Beverages, Automotive & Transportation, Life Sciences, Water & Wastewater, Metal & Mining, Pulp & Paper, Electronics/Semiconductor, Other End-User Industries), and by Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The Industrial Control Systems (ICS) Security Solutions market is an essential component of modern industrial operations, safeguarding critical infrastructures from an escalating array of cyber threats and vulnerabilities. As industries increasingly rely on interconnected systems and automation, the necessity of rob

The industrial services market size was valued at USD 41.98 billion in 2024 and is expected to reach USD 119.79 billion by 2037, registering around 8.4% CAGR during the forecast period i.e., between 2025-2037. North America industry is poised to dominate majority revenue share of 33% by 2037, North America industry is poised to dominate majority revenue share of 33% by 2037

[229+ Pages Report] The global SCADA market size is expected to grow from USD 9.9 billion in 2022 to USD 16.3 billion by 2030, at a CAGR of 7.9% from 2023-2030

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Big Data In Manufacturing Market Size 2024-2028

The big data in manufacturing market size is forecast to increase by USD 17.32 billion at a CAGR of 25.86% between 2023 and 2028.

The big data market in manufacturing is experiencing significant growth due to several key trends. The increasing adoption of Industry 4.0 and the emergence of artificial intelligence (AI) and machine learning (ML) are major drivers. The complexity of big data analytics is also fueling market growth. Industry 4.0, also known as the Fourth Industrial Revolution, is transforming manufacturing processes through automation and data-driven decision making. AI and ML are essential tools in this digital transformation, enabling predictive maintenance, quality control, and supply chain optimization. The analysis of vast amounts of data generated by these technologies is crucial for manufacturers to gain insights, improve efficiency, and remain competitive.
However, the challenges of managing and processing large volumes of data, ensuring data security, and integrating various data sources remain significant barriers to entry. Despite these challenges, the potential benefits of big data analytics in manufacturing are substantial, making it an exciting and dynamic market to watch.

What will be the Size of the Big Data In Manufacturing Market During the Forecast Period?

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The big data market in manufacturing is experiencing robust growth, driven by the increasing adoption of advanced technologies such as M2M communication, IoT, RFIDs, sensors, barcode readers, robots, automation, artificial intelligence (AI), and machine learning. OEMs are integrating these technologies into their production processes to enhance operational efficiency, reduce costs, and improve product quality. ERP systems are being upgraded with real-time analytics capabilities to enable data-driven decision-making. Processing power and storage capacity are no longer limiting factors, as cloud-based solutions offer virtually unlimited resources. Industrial digitalization is transforming the manufacturing landscape, with IT teams shifting focus from on-premises to cloud-based apps.
Open-source initiatives and descriptive analytics are gaining traction, enabling organizations to derive insights from their data and optimize performance. Connected devices and RFID technology are revolutionizing supply chain management and inventory control. Overall, the manufacturing industry is evolving into a metrics-based, data-driven sector, where AI and machine learning are becoming essential tools for competitive advantage.

How is this Big Data In Manufacturing Industry segmented and which is the largest segment?

The big data in manufacturing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Services
  Solutions


Deployment

  On-premises
  Cloud-based
  Hybrid


Geography

  North America

    Canada
    US


  APAC

    China


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The services segment is estimated to witness significant growth during the forecast period.

In the manufacturing sector, the services segment led the big data market in 2023 due to the increasing adoption of data analytics for cost savings, resource optimization, and operational efficiency. The manufacturing industry generates massive data from various sources, including sensors, machines, production lines, and supply chain operations. This data is a valuable asset, enabling predictive maintenance, real-time product quality monitoring, and inventory optimization. Big data services facilitate these applications, enabling manufacturers to minimize downtime, reduce defects, and optimize resource allocation. Leading OEMs, ERP systems, and M2M communication providers, such as John Deere, Oracle Corporation, and SAS Institute Inc, are integrating big data analytics into their offerings.

IoT, RFIDs, sensors, barcode readers, robots, and AI are key technologies driving industrial digitalization. Big data analytics solutions from Altair, Snowflake, Clustering, Regression, and Fair Isaac Corporation facilitate predictive asset management, inventory management, and supply chain analysis. The manufacturing industry's transition to connected factories and automation is accelerating, with cloud-based solutions from IBM, Cerner, and others enabling on-premises and cloud-based deployments.

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The Services segment was valued at USD 2.5 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 45% to the growth of the glo

[210+ Pages Report] The global smart workplace market size is expected to grow from USD 37.42 billion in 2022 to USD 81.48 billion by 2030, at a CAGR of 10.11% from 2023-2030

The Americas had the largest outsourcing market in 2019, with 62 billion U.S. dollars of revenue created by contracts valued at over 25 million U.S. dollars. This was a significant increase from two years ago and meant that for the second time North America was a larger market than Europe, the Middle East and Africa (EMEA). Types of outsourcing Outsourcing can involve contained segments of an organization, such as customer care or specific business functions which cut across all segments like Information Technology (IT) and Human Resources (HR). While the industry may limit which organizations can benefit from the former type of outsourcing, the common nature of processes like IT and HR mean all industries can potentially outsource, creating a massive global industry. For example, while healthcare is expected to increase IT outsourcing the least of all industries, IT outsourcing in this industry alone is still expected to be worth over 50 billion U.S. dollars globally. Industry growth Considering only contracts above 25 million U.S. dollars, total contract value in the outsourcing market has declined in recent years from a 2014 peak of 104.6 million U.S. dollars. This decline is reflected in the intention of companies to expand their use of offshoring. Analysts point to several reasons for this trend. First, the increasing ability to automate business processes has overtaken the cost advantages of outsourcing in some cases. Second, there is greater quality control over in-house operations and increased flexibility in the deployment of these type of operations. Finally, social and political pressure has led to some companies preferring to keep jobs close to home, rather than utilize cheaper labor overseas.