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iPaaS: Six Current and Three Emerging Use Cases for the Enterprises

By Apoorva Kasam - June 06, 2023 6 Mins Read

iPaaS: Six Current and Three Emerging Use Cases for the Enterprises

The best way for businesses to align with future integration trends is by employing an integration-platform-as-a-service (iPaaS) platform. It effectively future-proofs the integration operations enabling businesses to embrace the rising demands that the iPaaS platform will address.

As per a recent report by Research and Markets, “Integration Platform As A Service Global Market Report 2023“, iPaaS is anticipated to grow to USD 13.28 in 2027 globally at a CAGR of 32.6%. Digital transformations demand robust and diversified ways of data provisioning that effectively integrate endpoints in the cloud and on-premises. iPaaS offers a comprehensive and compelling solution to fulfill modern data integration demands.

Here are six current and two emerging use cases of iPaaS.

Current iPaaS Use Cases

  • Universal Connectivity

With the increasing number of devices, businesses must obtain data from all devices to tap the potential of IoT. Regardless of the devices, companies must understand what data the device reports and must act on the data.

They must be able to integrate anything, anytime and anywhere. iPaaS seamlessly makes connections across all kinds of cloud services, on-premises systems, and mobile devices while enabling the connection of IoT devices to similar systems.

When implementing, businesses must ensure whether or not the iPaaS addresses the challenges of integrating IoT devices over unreliable or latent networks. Moreover, companies must check whether it enhances IoT solutions’ responsiveness and reduces communication costs.

  • Data Integration

Data integration is the most common use case. Systems that have data transfer need to be current and updated.   Traditional data transfers occur in batches; however, businesses must have data available in real time.

With iPaaS, communication is more accessible if all the stakeholders have the data in the desired formats. It is achievable by transforming the data during its transfer.

Additionally, validation checks are vital to ensure that the data obtained is clean. In case of errors, the solution returns the data to the sender for enrichment.

Also Read: Strategies to Minimize DevOps Tool Sprawling

  • Application-to-Application Integration

For an effective integration between systems and applications, communication is crucial. Earlier, businesses employed enterprise application integration (EAI) to execute integrations between systems and applications.

The application integration aims to ensure the data is available to all the relevant stakeholders in a single platform. The primary use case of iPaaS is integrating systems and applications since it can collect data from any systems-even across firewalls, and direct it to the end-user platform.

  • Business-to-Business (B2B) Integration

B2B data exchanges within partner networks diminish the need to write API-based code to elevate the onboarding speed of customers and partners. Replacement of electronic data interchange (EDI) gateways or cloud integration platforms, dispense self-service capabilities that enable seamless partner access. Efficient data monitoring enhances performance and management assurance.

  • IoT Device Integration

The IoT has an enormous demand for networks and device management. Each device must be installed and integrated, often with an API, to deliver data. Analytics tools and processes must combine with the data via other APIs.

Continuous integrations are required to connect analytical tools to enterprise systems. The majority of these integrations must communicate and operate across clouds. IoT infrastructures are common use cases of iPaaS’ potential. It allows a single integration platform to connect various devices, tools, and APIs in a pliable and scalable way.

  • Big Data Integration

Big data projects like AI, machine learning, business intelligence, and business analytics constitute advanced data integration use cases. They rely on big data arrays in advanced subsystems like data lakes and cloud data warehouses. Businesses must convey and processes all the high-volume and time-sensitive data with minimal latency.

The advanced storage environment encompasses numerous APIs within the storage subsystems to connect storage to analytical and visualization or training tools. iPaaS handles all the integration within the same platform and simplifies multiple complex integrations.

Emerging iPaaS Use Cases

  • Embedded Integrations

Cloud integration platforms are embedded in other applications, especially SaaS, to offer integration-as-a-service. Particular embeddable integrations are transforming and expanding the many ways of utilizing the integration processes.

Purpose-built applications, for example, are in high demand due to their enhanced embeddable integrations established using cloud integration platforms. Moreover, vendors build integration products for managed services providers and partners to embed in services for their customers.

Also Read: These Enterprise Generative AI Use Cases are Emerging

  • Event Stream Ingestion and Delivery

Application design’s future is event-driven architecture. Event-driven architecture augments for lower cost of change, extensibility, agility, resiliency, and open-ended design. Traditionally, businesses used iPaaS during request/response situations.

However, high-performing Web and mobile apps need real-time data exchange to enable reliable bi-directional data exchange to mobile and Web apps, backend systems, and IoT devices. Businesses employ asynchronous messaging to address these on-premises requirements. iPaaS addresses this integration method.

The event-driven journey starts with asynchronous messaging for most iPaaS users. It allows the users to cover more elaborate integration use cases that encompass more than just a response or request.

With the expanding digitalization, businesses will rely primarily on event-driven architecture. Therefore, companies must reform strategies beyond the common response/request approaches to asynchronous messaging. Organizations must ensure whether or not the iPaaS support this event-driven architecture concept.

  • Multi-cloud Integrations

Multi-cloud Integrations are advanced iPaaS use cases. An organization, for example, uses a public cloud provider’s resources and services to integrate these resources and services from other clouds.

Integrating data stores in multiple locations and formats makes manual or custom-developed integrations challenging. iPaaS can efficiently resolve such complexities while implementing and managing numerous integrations within the same platform.


As cloud use has grown, iPaaS has become an essential tool. iPaaS and other cloud apps have enabled organizations to capitalize on developing use cases to gain increased agility. With legacy iPaaS providers, established integration firms changed their products to interface with cloud services.

An ideal iPaaS solution must offer businesses the agility to move a project or service quickly. Therefore, the solution must give organizations the flexibility to move all the tasks rapidly to the deployment of their choice.

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Apoorva Kasam

Apoorva Kasam is a Global News Correspondent with OnDot Media. She has done her master's in Bioinformatics and has 18 months of experience in clinical and preclinical data management. She is a content-writing enthusiast, and this is her first stint writing articles on business technology. She specializes in Blockchain, data governance, and supply chain management. Her ideal and digestible writing style displays the current trends, efficiencies, challenges, and relevant mitigation strategies businesses can look forward to. She is looking forward to exploring more technology insights in-depth.

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