Through market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights, The Business Research Company’s 2026 market reports provide more actionable and strategically valuable research.
Process Information (PI)-To-Cloud Data Broker Solutions Market Growth Analysis: How Will Revenue Expand During The Forecast Period?
The market size for process information (pi)-to-cloud data broker solutions has experienced substantial growth in recent years. It is anticipated to expand from $2.71 billion in 2025 to $3.1 billion in 2026, achieving a compound annual growth rate (CAGR) of 14.7%. This historic growth can be linked to several factors, including the increasing application of legacy pi systems in industrial operations, the demand for centralized data visibility across plants, the rise in industrial automation and data collection, the growing requirement for secure data transfer from on premise systems, and the wider adoption of cloud technologies in enterprises.
The process information (pi)-to-cloud data broker solutions market is projected for substantial expansion in the coming years, with its value forecast to reach $5.41 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 14.9%. This anticipated growth throughout the forecast period can be attributed to several factors, including increasing investments in industrial cloud platforms, a heightened demand for real-time analytics from operational data, continuous advancements in edge computing and protocol conversion technologies, a sharpened focus on industrial data governance and compliance, and the necessity for seamless integration between operational technology (OT) and information technology (IT) environments. Concurrently, key trends expected during this period involve a rising adoption of real-time PI data streaming to cloud platforms, a greater requirement for protocol conversion between legacy and cloud systems, an increase in the deployment of industrial edge gateways for data bridging, the broadening of secure data governance and monitoring capabilities, and the integration of managed services for continuous data synchronization.
Download A Free Sample Report For Comprehensive Market Insights:
#Process Information (PI)-To-Cloud Data Broker Solutions Market Growth Drivers And Industry Catalysts
The increasing integration of the Industrial Internet of Things (IIoT) is anticipated to fuel expansion within the PI-to-cloud data broker solutions market moving ahead. The Industrial Internet of Things (IIoT) represents a network where industrial devices, sensors, and systems are linked, exchanging data over the internet to enhance manufacturing and industrial operations. This increasing IIoT adoption stems primarily from the demand for digital transformation in manufacturing, as enterprises aim to boost operational efficiency, minimize downtime via predictive maintenance, and obtain immediate insights into their production workflows. IIoT systems produce vast quantities of data from industrial equipment and sensors, necessitating efficient transmission and integration with cloud-based analytical platforms. This in turn generates significant demand for data broker solutions capable of smoothly connecting operational technology with cloud infrastructure. For example, data from Ericsson, a Sweden-based telecommunications company, indicates that in April 2025, global IoT connections hit 18.8 billion connections in 2024 and are projected to rise to 43.0 billion connections by 2030. Consequently, the expanding use of the Industrial Internet of Things (IIoT) is a key factor propelling the PI-to-cloud data broker solutions market’s growth.
#Process Information (PI)-To-Cloud Data Broker Solutions Market Segment Landscape And Growth Potential
The process information (pi)-to-cloud data broker solutions market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Mode: On-Premises, Cloud-Based, Hybrid
3) By Organization Size: Small And Medium Enterprises, Large Enterprises
4) By Application: Data Integration, Data Migration, Data Synchronization, Data Security, Other Applications
5) By End-User: Banking, Financial Services, And Insurance (BFSI), Healthcare, Manufacturing, Information Technology And Telecommunications, Other End-Users
Subsegments:
1) By Software: Data Integration Platforms, Data Transformation Tools, Data Connectivity Tools, Data Management Platforms, Data Security Software
2) By Services: Consulting Services, Implementation Services, Integration Services, Support And Maintenance Services, Managed Services
#Process Information (PI)-To-Cloud Data Broker Solutions Market Trends Influencing Long-Term Demand
Major companies in the PI-to-cloud data broker solutions market are prioritizing the development of advanced industrial intelligence platforms. These platforms aim to enable secure, real-time data integration between operational systems located on-premise and cloud environments. Intelligence platforms function as integrated digital systems that gather and process operational data from various sources, applying analytics to generate actionable insights. This capability supports better decision-making, improved efficiency, and optimized performance throughout organizations. For example, in April 2024, AVEVA, a Germany-based provider of industrial software driving digital transformation and sustainability, introduced AVEVA CONNECT as its industrial intelligence platform at Hannover Messe. This open, cloud-based platform, hosted on Microsoft Azure, unifies data, digital twins, AI analytics, and applications from partners like Schneider Electric, RIB, and ETAP, providing actionable insights for industrial decision-makers across different sectors. It significantly enhances efficiency, sustainability, and ROI by encompassing the full industrial lifecycle with real-time services for visualization, modeling, and collaboration.
Process Information (PI)-To-Cloud Data Broker Solutions Market Competitive Landscape: Who Are The Leading Companies?
Major companies operating in the process information (pi)-to-cloud data broker solutions market are Amazon.com Inc., Google LLC, International Business Machines Corporation, Oracle Corporation, Snowflake Inc., Cloudera Inc., Precisely LLC, Fivetran Inc., Workato Inc., Celigo Inc., Denodo Technologies SL, Jitterbit Inc., Matillion Ltd., SnapLogic Inc., Adeptia Inc., Airbyte Inc., Skyflow Inc., Tray.io Inc., Hevo Data Inc., Devart Software, Rivery Inc., Dataddo Ltd.
Access The Complete Process Information (PI)-To-Cloud Data Broker Solutions Market Report:
Process Information (PI)-To-Cloud Data Broker Solutions Market Regional Analysis: Which Region Leads By Revenue?
North America was the largest region in the PI-to-cloud data broker solutions market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the process information (pi)-to-cloud data broker solutions market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Get in touch with us:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model

Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
