The connected enterprise market size is expected to reach USD 822.59 billion by 2025, according to a new study by Polaris Market Research. The report “Connected Enterprise Market Size, Share, Trends, Industry Analysis Report: By Component (Solution and Service), Type, End User, and Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa); Market Forecast, 2025–2034” gives a detailed insight into current market dynamics and provides analysis on future market growth.
The Connected Enterprise market refers to the integration of digital technologies within industries to enhance automation, data exchange, a nd operational efficiency. It involves the use of Internet of Things (IoT), cloud computing, big data, and artificial intelligence to create intelligent, interconnected systems across manufacturing, logistics, and other sectors. Key driving factors include the increasing demand for operational efficiency, cost reduction, and improved decision-making processes. The rise in smart factories, the adoption of Industry 4.0, and the need for real-time monitoring and predictive maintenance further propel market growth. Companies are investing in advanced technologies like edge computing and AI to optimize production and supply chain processes, driving the widespread adoption of connected enterprise solutions globally.
As enterprises aim for a competitive edge, there is a marked increase in investment in digital solutions that enable interconnected environments. These initiatives frequently align with expanding industry trends, including smart manufacturing and smart city applications, which are integral to the development of refined infrastructure projects. Thus, this alignment boosts efficiency and accelerates overall connected enterprise market growth.
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Organizations are increasingly focused on improving operational efficiency to reduce downtime and optimize resource allocation, which is driving the integration of connected enterprise systems. For instance, in February 2024, Siemens plans to enhance its predictive maintenance services through Senseye Predictive Maintenance by integrating generative AI. This upgrade aims to make human-machine interactions more conversational and user-friendly, improving the speed and efficiency of predictive maintenance and enabling more intuitive decision-making. These systems allow predictive maintenance, letting businesses identify and address potential failures before they escalate, thereby reducing both time and operational costs. By harnessing data analytics from interconnected devices, companies are able to make data-driven decisions that boost productivity and enhance workflows. Consequently, the demand for connected enterprise solutions is on the rise across multiple sectors, highlighting the critical role of streamlined operations in a competitive marketplace.
Component Outlook (Revenue, USD Billion, 2020–2034)
Type Outlook (Revenue, USD Billion, 2020–2034)
End User Outlook (Revenue, USD Billion, 2020–2034)
Regional Outlook (Revenue, USD Billion, 2020–2034)
Report Attributes |
Details |
Market Size Value in 2023 |
USD 469.19 billion |
Market Size Value in 2024 |
USD 620.88 billion |
CAGR |
33.3% from 2025 to 2034 |
Base Year |
2024 |
Historical Data |
2020–2023 |
Forecast Period |
2025–2034 |
Quantitative Units |
Revenue in USD billion and CAGR from 2025 to 2034 |
Report Coverage |
Revenue Forecast, Market Competitive Landscape, Growth Factors, and Industry Trends |
Segments Covered |
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Regional Scope |
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Competitive Landscape |
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Report Format |
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Customization |
Report customization as per your requirements with respect to countries, regions, and segmentation. |
For Specific Research Requirements |