The process information (pi)-to-cloud data broker solutions market size is expected to see rapid growth in the next few years. It will grow to $5.41 billion in 2030 at a compound annual growth rate (CAGR) of 14.9%. The growth in the forecast period can be attributed to growing investment in industrial cloud platforms, rising need for real time analytics from operational data, advancements in edge computing and protocol conversion technologies, increasing focus on industrial data governance and compliance, demand for seamless integration between ot and it environments. Major trends in the forecast period include growing adoption of real time pi data streaming to cloud platforms, increasing demand for protocol conversion between legacy and cloud systems, rising deployment of industrial edge gateways for data bridging, expansion of secure data governance and monitoring capabilities, integration of managed services for continuous data synchronization.
The rising adoption of the industrial internet of things (IIoT) is expected to drive the growth of the PI-to-cloud data broker solutions market going forward. The industrial internet of things refers to a network of interconnected industrial devices, sensors, and systems that communicate and exchange data via the internet to optimize manufacturing and industrial processes. The growing adoption of IIoT is largely influenced by the need for digital transformation in manufacturing, as organizations aim to enhance operational efficiency, minimize downtime through predictive maintenance, and obtain real-time insights into production processes. IIoT systems generate large volumes of data from industrial equipment and sensors that must be efficiently transmitted and integrated with cloud-based analytics platforms, creating strong demand for data broker solutions that can seamlessly bridge operational technology with cloud infrastructure. For instance, in April 2025, according to Ericsson, a Sweden-based telecommunications company, global IoT connections reached 18.8 billion in 2024 and are projected to rise to 43 billion by 2030. Therefore, the rising adoption of the industrial internet of things (IIoT) is driving the growth of the PI-to-cloud data broker solutions market.
Key companies operating in the PI-to-cloud data broker solutions market are focusing on developing advanced industrial intelligence platforms to enable secure, real-time data integration between on-premise operational systems and cloud environments. Intelligence platforms are integrated digital systems that gather and process operational data from multiple sources and apply analytics to generate actionable insights, enabling better decision-making, improved efficiency, and optimized performance across organizations. For example, in April 2024, AVEVA, a Germany-based provider of industrial software driving digital transformation and sustainability, unveiled AVEVA CONNECT as the industrial intelligence platform at Hannover Messe. This open, cloud-based platform on Microsoft Azure unifies data, digital twins, AI analytics, and applications from partners like Schneider Electric, RIB, and ETAP to deliver actionable insights for industrial decision-makers across sectors. It drives efficiency, sustainability, and ROI by spanning the full industrial lifecycle with real-time services for visualization, modeling, and collaboration.
In April 2025, AVEVA Group Plc, a UK-based industrial software company, entered into a partnership with ServiceNow to link real-time industrial intelligence with cloud-based digital workflows to accelerate industrial transformation. The collaboration focuses on securely enabling PI-to-cloud data brokering by integrating AVEVA’s industrial data platforms with ServiceNow’s cloud workflows, allowing enterprises to unify OT and IT data for enhanced operational efficiency, visibility, and decision-making across industrial operations. ServiceNow is a US-based provider of digital workflow and cloud platform solutions.
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.
Tariffs have impacted the process information (PI)-to-cloud data broker solutions market by increasing the cost of imported industrial edge gateways, protocol converters, industrial servers, and data acquisition modules used for integration. This has particularly affected hardware-dependent deployments across regions such as Asia-Pacific, North America, and Europe that rely on global industrial electronics supply chains. Solution providers are mitigating the impact by sourcing hardware locally, offering software-centric deployment models, and optimizing integration architectures. In some regions, tariffs have encouraged domestic production of industrial data hardware and accelerated innovation in cost-efficient data bridging solutions.
Process information (PI)-to-cloud data broker solutions are software and platform solutions designed to securely transfer and integrate data from legacy Process Information (PI) systems to modern cloud environments. They enable real-time data collection, processing, and synchronization between on-premises industrial systems and cloud-based platforms. These solutions help organizations achieve seamless data connectivity, support analytics, and enhance operational efficiency while maintaining data integrity and security.
The primary components of process information (PI)-to-cloud data broker solutions include software and services. Software refers to cloud-enabled platforms that enable seamless transfer, integration, and management of PI data across enterprise and cloud environments. These solutions are deployed through various deployment modes, including on-premises, cloud-based, and hybrid. They are designed for organizations of different sizes, including small and medium enterprises and large enterprises, and are used across multiple applications such as data integration, data migration, data synchronization, data security, and other applications. These solutions serve diverse end-user industries, including banking, financial services, and insurance (BFSI), healthcare, manufacturing, information technology and telecommunications, and other end users.
The process information (PI)-to-cloud data broker solutions market consists of revenues earned by entities by providing services such as data ingestion, data transformation, protocol conversion, cloud connectivity, real-time data streaming, monitoring and logging, data governance, system integration, and managed services. The market value includes the value of related goods sold by the service provider or included within the service offering. The process information (PI)-to-cloud data broker solutions market includes sales of industrial edge gateways, data broker appliances, protocol converter devices, industrial servers, and data acquisition modules. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
The process information (pi)-to-cloud data broker solutions market research report is one of a series of new reports that provides process information (pi)-to-cloud data broker solutions market statistics, including process information (pi)-to-cloud data broker solutions industry global market size, regional shares, competitors with a process information (pi)-to-cloud data broker solutions market share, detailed process information (pi)-to-cloud data broker solutions market segments, market trends and opportunities, and any further data you may need to thrive in the process information (pi)-to-cloud data broker solutions industry. This process information (pi)-to-cloud data broker solutions market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
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Table of Contents
Executive Summary
Process Information (PI)-To-Cloud Data Broker Solutions Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses process information (pi)-to-cloud data broker solutions market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for process information (pi)-to-cloud data broker solutions? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The process information (pi)-to-cloud data broker solutions market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Services2) 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 Software2) By Services: Consulting Services; Implementation Services; Integration Services; Support and Maintenance Services; Managed Services
Companies Mentioned: 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.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
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Companies Mentioned
The companies featured in this Process Information (PI)-to-Cloud Data Broker Solutions market report include:- 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.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | March 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 3.1 Billion |
| Forecasted Market Value ( USD | $ 5.41 Billion |
| Compound Annual Growth Rate | 14.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 22 |


