The global industrial databases market, valued at $1033 million in 2025, is projected to experience robust growth, exhibiting a compound annual growth rate (CAGR) of 10.8% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of Industry 4.0 and the Internet of Things (IoT) is generating massive volumes of operational data, creating a significant demand for efficient and scalable database solutions capable of handling this influx. Furthermore, the rising need for real-time data analytics and predictive maintenance within manufacturing and other industrial sectors is further stimulating market growth. Companies are increasingly leveraging industrial databases to optimize production processes, improve resource allocation, and enhance overall operational efficiency. The market is segmented by application (market analysis, production analysis, and others) and database type (relational and non-relational). Relational databases currently hold a larger market share, but the adoption of non-relational databases is rapidly growing due to their scalability and flexibility in handling unstructured data. Geographic expansion is also a key factor, with North America and Europe representing significant market shares initially, while the Asia-Pacific region is expected to witness faster growth due to increasing industrialization and technological advancements in countries like China and India. However, challenges such as data security concerns and the high cost of implementation and maintenance could act as potential restraints on market growth. The competitive landscape is characterized by a mix of established players like Oracle and newer entrants offering specialized solutions. The presence of key players such as Dun & Bradstreet, Bloomberg, and Statista highlights the market's importance for providing crucial business intelligence. Companies are focusing on developing advanced analytics capabilities and integrating their offerings with cloud platforms to enhance accessibility and scalability. This strategic focus on cloud-based solutions is driving market expansion and offering greater flexibility for users across various industrial sectors. The forecast period suggests continued strong growth, driven by the ongoing digital transformation within industries and the relentless increase in data generation. The market is expected to witness further consolidation as companies seek strategic partnerships and acquisitions to expand their market reach and product portfolios.

Abstract

UNIDO maintains a variety of databases comprising statistics of overall industrial growth, detailed data on business structure and statistics on major indicators of industrial performance by country in the historical time series. Among which is the UNIDO Industrial Demand-Supply Balance Database at the 4-digit level of ISIC (IDSB).

The IDSB contains highly disaggregated data on the manufacturing sector for the period 2005 onwards and includes trade data. The data are derived from output data reported by National Statistical Offices, as presented in the INDSTAT4 database, together with UNIDO estimates for ISIC-based international trade data, by utilizing the United Nations Commodity Trade Database (COMTRADE). The database contains data on output and on trade related items, such as imports, export and apparent consumption. The data are arranged at the 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 4 pertaining to the manufacturing sector, which comprises 137 manufacturing categories.

For more information, please visit: http://www.unido.org/resources/statistics/statistical-databases.html

Analysis unit

Sectors

Kind of data

Aggregate data [agg]

Mode of data collection

Other [oth]

The global industrial data management services market is projected to reach USD 66.1 billion by 2033, exhibiting a CAGR of 15.1% during the forecast period (2023-2033). The increasing need to improve operational efficiency, optimize production processes, and make informed decisions is driving the market growth. The adoption of Industry 4.0 technologies, such as IoT, cloud computing, and artificial intelligence, is further fueling market expansion. Segmentation-wise, the data consulting segment is anticipated to hold the largest market share throughout the forecast period. The growing demand for data analytics and visualization services to derive meaningful insights from industrial data is contributing to the segment's dominance. Geographically, North America is expected to dominate the market, attributed to the presence of well-established industries and a high adoption rate of advanced technologies. The increasing awareness of data management practices and the growing need to enhance productivity in manufacturing and other industrial sectors are driving market growth in the Asia Pacific region. Industrial Data Management Service Market Report [Report Link]

United States Mfg Ind: Unfilled Orders: MA: ow: Industrial data was reported at 8.654 USD bn in May 2018. This records a decrease from the previous number of 8.762 USD bn for Apr 2018. United States Mfg Ind: Unfilled Orders: MA: ow: Industrial data is updated monthly, averaging 9.529 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 16.504 USD bn in Jul 2008 and a record low of 4.212 USD bn in Mar 1992. United States Mfg Ind: Unfilled Orders: MA: ow: Industrial data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C007: Manufacturing Industries: By NAIC System: Unfilled Orders.

The industrial data analysis tools market is set to experience significant growth in the coming years, driven by the growing adoption of digital technologies in manufacturing and other industries. The market size is expected to reach xxx million by 2033, with a CAGR of xx% during the forecast period. The growing need to improve efficiency, productivity, and quality in manufacturing operations is driving the demand for industrial data analysis tools. These tools enable manufacturers to collect, analyze, and visualize data from various sources, including sensors, machines, and production systems. This data can then be used to identify trends, patterns, and anomalies, which can help manufacturers to improve their processes and products. The market for industrial data analysis tools is segmented by type, application, and region. By type, the market is divided into 3D, 2D, and others. By application, the market is segmented into architecture, mechanical, automobile, and others. By region, the market is segmented into North America, South America, Europe, Middle East & Africa, and Asia Pacific. North America is expected to remain the largest market for industrial data analysis tools, followed by Europe and Asia Pacific. The growth in these regions is driven by the increasing adoption of digital technologies and the growing need for improved efficiency and productivity in manufacturing. The global industrial data analysis tools market size was valued at USD 2.2 billion in 2019 and is projected to grow at a compound annual growth rate (CAGR) of 14.5% from 2020 to 2027. The growth of the market is attributed to the increasing adoption of industrial internet of things (IIoT) devices and the growing need for data-driven insights to improve operational efficiency. Industrial data analysis tools help organizations to collect, store, and analyze data from various sources, such as sensors, machines, and processes. This data can be used to identify trends, patterns, and anomalies, which can help organizations to improve their operations, reduce costs, and increase productivity.

Abstract

UNIDO maintains a variety of databases comprising statistics of overall industrial growth, detailed data on business structure and statistics on major indicators of industrial performance by country in the historical time series. Among which is the UNIDO Industrial Statistics Database at the 3 & 4-digit levels of ISIC Revision 4 (INDSTAT4-Rev.4).

INDSTAT4 contains highly disaggregated data on the manufacturing sector for the period 2005 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit levels of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 4 pertaining to the manufacturing, which comprises more than 160 manufacturing sectors and sub-sectors. The time series can either be used to compare a certain branch or sector of countries or – if present in the data set – some sectors of one country.

For more information, please visit: http://www.unido.org/resources/statistics/statistical-databases.html

Analysis unit

Sectors

Kind of data

Aggregate data [agg]

Mode of data collection

Other [oth]

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.

In 2024, the average cost of an industrial data breach reached its peak with an average of 5.56 million U.S. dollars, up from 4.73 million U.S. dollars in 2023. In comparison, the global average cost of a data breach across all studied industries was 4.88 million U.S. dollars.

This data release contains the U.S. salient statistics and world production data extracted from the DIAMOND (INDUSTRIAL) data sheet of the USGS Mineral Commodity Summaries 2024.

6594 Global import shipment records of Industrial Felt with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Prescribed Industrial Wastes are wastes which may be hazardous or dangerous to the environment, or our own well-being and need to be properly monitored and managed. Examples include but not limited to cyanides, asbestos, contaminated soil, acids and clinical wastes. You can find a full listing by searching EPA's website for publication IWRG822.2).

United States Mfg Ind: sa: Unfilled Orders: MA: ow: Industrial data was reported at 8.580 USD bn in May 2018. This records an increase from the previous number of 8.542 USD bn for Apr 2018. United States Mfg Ind: sa: Unfilled Orders: MA: ow: Industrial data is updated monthly, averaging 9.527 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 16.170 USD bn in Jul 2008 and a record low of 4.227 USD bn in Feb 1992. United States Mfg Ind: sa: Unfilled Orders: MA: ow: Industrial data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C008: Manufacturing Industries: By NAIC System: Unfilled Orders: sa.

NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data were interpreted and transcribed manually from utility tariff sheets, which are often complex. It is a certainty that these data contain errors, and therefore should only be used as a reference. Actual utility tariff sheets should be consulted if an action requires this type of data. (2) These data only contains tariffs that were entered into the Utility Rate Database. Since not all tariffs are designed in a format that can be entered into the Database, this list is incomplete - it does not contain all tariffs in the United States. (3) These data may have changed since this list was developed (4) Many of the underlying tariffs have additional restrictions or requirements that are not represented here. For example, they may only be available to the agricultural sector or closed to new customers. (5) If there are multiple demand charge elements in a given tariff, the maximum demand charge is the sum of each of the elements at any point in time. Where tiers were present, the highest rate tier was assumed. The value is a maximum for the year, and may be significantly different from demand charge rates at other times in the year. Utility Rate Database: https://openei.org/wiki/Utility_Rate_Database

Snapshot img

Industrial Services Market Size 2025-2029

The industrial services market size is forecast to increase by USD 22.68 billion, at a CAGR of 7.3% between 2024 and 2029.

The market is experiencing significant shifts driven by the increasing emphasis on predictive maintenance and the growing demand for end-to-end quality and process control. These trends reflect the industry's ongoing transformation towards more efficient, data-driven operations. However, companies face challenges in implementing these strategies due to the lack of technical expertise within their workforce. This skills gap poses a significant obstacle to effective implementation and may hinder market growth. Cloud computing facilitates real-time data collection and analysis, allowing for quicker responses to potential issues.
To capitalize on the opportunities presented by predictive maintenance and quality control, industrial services providers must invest in upskilling their workforce or partnering with specialized technology companies. By addressing these challenges and embracing technological advancements, companies can differentiate themselves in a competitive market and deliver superior value to their clients. For instance, a leading manufacturing company reported a 15% reduction in maintenance costs by implementing a predictive maintenance system and integrating smart sensor technologies into their operations.

What will be the Size of the Industrial Services Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The market continues to evolve, driven by the adoption of advanced technologies and strategies to optimize operations and enhance efficiency across various sectors. Preventative maintenance strategies, fueled by predictive modeling techniques and machine learning models, are increasingly prioritized to minimize downtime and extend equipment lifecycle. Advanced analytics techniques, such as time-series forecasting models and performance monitoring tools, provide valuable insights into industrial processes, enabling process optimization and energy efficiency audits. Cloud-based service platforms offer remote diagnostics capabilities, safety compliance audits, and field service management, ensuring industrial automation solutions operate at optimal levels.

Industrial IoT platforms facilitate remote asset monitoring and robotics integration services, enabling AI-driven maintenance and operational efficiency metrics to be tracked in real-time. Risk management protocols, including predictive maintenance systems and automated inspection systems, minimize potential hazards and ensure regulatory compliance. According to recent industry reports, the market is expected to grow by over 5% annually, driven by the increasing demand for operational excellence and digital transformation in manufacturing and energy sectors. Inventory management systems, integrated with digital twin technology and real-time equipment tracking, enable just-in-time supply chain optimization.

How is this Industrial Services Industry segmented?

The industrial services 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.

End-user

  Oil and gas
  Chemicals
  Aerospace
  Automotive
  Others


Type

  Engineering and consulting
  Installation and commissioning
  Operational improvement and maintenance


Application

  Distributed control system
  Programmable controller logic
  Supervisory control and data acquisition
  Electric motors and drives
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By End-user Insights

The Oil and gas segment is estimated to witness significant growth during the forecast period. The market is witnessing significant growth due to the increasing adoption of preventative maintenance strategies and advanced analytics techniques. Cloud-based service platforms and digital twin technology enable real-time equipment tracking and predictive maintenance systems, reducing downtime and optimizing operational efficiency. Inventory management systems and machine learning models facilitate just-in-time supply chain optimization and energy efficiency audits. Safety compliance audits and risk management protocols ensure regulatory adherence and minimize potential hazards. Industrial automation solutions, including robotics integration services and automated inspection systems, streamline processes and enhance productivity.

Asset performance management and process optimization techniques optimiz

United States IPI: Mfg: DU: Machinery: Industrial data was reported at 134.659 2017=100 in Nov 2021. This records an increase from the previous number of 129.817 2017=100 for Oct 2021. United States IPI: Mfg: DU: Machinery: Industrial data is updated monthly, averaging 97.550 2017=100 from Jan 1972 to Nov 2021, with 599 observations. The data reached an all-time high of 172.641 2017=100 in Aug 2000 and a record low of 59.724 2017=100 in Feb 1983. United States IPI: Mfg: DU: Machinery: Industrial data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.B016: Industrial Production Index: Manufacturing: NAICS: 2017=100.

Key information about Georgia Industrial Production Index Growth

• Georgia Industrial production fell 1.2 % YoY in Sep 2024, following an increase of 3.0 % YoY in the previous quarter.
• Georgia Industrial production index growth rate YoY data is updated quarterly, available from Mar 2002 to Sep 2024, with an average rate of 6.6 %.
• The data reached an all-time high of 48.4 % in Mar 2006 and a record low of -28.8 % in Jun 2009.

The Report Covers Global Data Logger Market Companies & Growth and it is Segmented by Deployment (USB Data, Bluetooth Enabled Loggers, Web-based Systems, Wireless), Channel (Single Channel, Multi-Channel), Input Parameter (Temperature, Pressure, Humidity, Voltage), End-user Industry (Oil & Gas, Manufacturing, Automotive, Power & Utilities), and Geography.

The Data Fabric market size reached USD 1.14 Billion in 2020 and revenue is forecasted to reach USD 7.72 Billion in 2028 registering a CAGR of 27.2%. Data Fabric industry report classifies global market by share, trend, growth and on the basis of component, type, deployment, organization size, appli...

The Automation Industrial Data Acquisition System Market size is expected to reach USD 4.9 billion in 2034 growing at a CAGR of 5.8. Automation Industrial Data Acquisition System Market report classified by demand analysis, segmentation, competitive positioning, growth drivers, and forecast.

Industrial Data Gateway Market Outlook

According to our latest research, the global industrial data gateway market size reached USD 1.92 billion in 2024. The market is experiencing robust expansion, registering a CAGR of 10.7% from 2025 to 2033. By 2033, the market is forecasted to attain a value of approximately USD 5.33 billion. This remarkable growth is primarily fueled by the increasing adoption of Industrial Internet of Things (IIoT) solutions, the rising need for seamless data integration across heterogeneous industrial environments, and the growing emphasis on real-time data analytics to enhance operational efficiency.

The rapid proliferation of connected devices and smart sensors in industrial settings is a major growth driver for the industrial data gateway market. As industries strive to modernize their legacy infrastructure, data gateways have become essential for bridging the gap between traditional operational technology (OT) and advanced information technology (IT) systems. These gateways enable secure and efficient data transfer, protocol conversion, and real-time communication across disparate devices and platforms. Furthermore, the increasing deployment of IIoT platforms in manufacturing, energy, and utilities sectors has amplified the demand for robust data gateway solutions capable of handling large volumes of industrial data while ensuring minimal latency and high reliability.

Another significant factor propelling market growth is the rising focus on predictive maintenance and remote monitoring. Industrial data gateways play a pivotal role in collecting, aggregating, and transmitting machine data to centralized analytics platforms, thereby enabling predictive maintenance strategies. This not only reduces unplanned downtime but also optimizes asset utilization and extends equipment lifespan. The integration of advanced analytics and artificial intelligence with data gateways is further enhancing the ability of enterprises to derive actionable insights from real-time and historical data, driving the adoption of these solutions across diverse industry verticals.

The surge in regulatory compliance requirements and the need for enhanced cybersecurity in industrial environments are also contributing to the expansion of the industrial data gateway market. As industries become increasingly digitalized, the risk of cyber threats targeting critical infrastructure has escalated. Data gateways equipped with advanced security features such as encryption, authentication, and intrusion detection are gaining traction as organizations seek to safeguard their data assets and comply with stringent data protection regulations. This trend is particularly pronounced in industries such as oil & gas, pharmaceuticals, and energy & utilities, where the integrity and confidentiality of operational data are paramount.

From a regional perspective, Asia Pacific is emerging as the fastest-growing market for industrial data gateways, driven by rapid industrialization, government initiatives promoting smart manufacturing, and significant investments in IIoT infrastructure. North America and Europe continue to hold substantial market shares, supported by early technology adoption, strong presence of key market players, and increasing focus on digital transformation across manufacturing and process industries. Meanwhile, the Middle East & Africa and Latin America are witnessing gradual growth as industries in these regions recognize the benefits of data-driven decision-making and invest in modernizing their operational frameworks.

Component Analysis

The component segment of the industrial data gateway market is categorized into hardware, software, and services. Hardware forms the backbone of industrial data gateways, encompassing devices such as protocol converters, edge gateways, and communication modules. These hardware components are engineered to withstand harsh industrial environments and provide reliable connectivity between disparate systems. The demand for robust and scalable hardware solutions is witnessing steady growth, as industries seek to ensure uninterrupted data flow and minimize operational risks. Leading manufacturers are investing in R&D to develop compact, energy-efficient, and multi-protocol compatible hardware that can seamlessly integrate with a wide range of industrial equipment and networks.

Software plays a crucial role in enhancing the functionality and interoperability of