B2B integrations are vital to ensuring global supply chains and IT services run seamlessly across different business entities.
The B2B integration solution market is undergoing massive growth, with a current market size of $8.3 billion expected to grow to $22.6 billion by 2023.
This article evaluates the best-fit B2B integration solutions for enterprise businesses and IT service management across the spectrum from self-service tools to fully-managed services.
What is a B2B integration platform?
A B2B integration platform connects applications, data sources, and business services between organizations and their partners, customers, and vendors. The B2B integration landscape is estimated to be $8.3 billion in annual revenues in 2025, including several distinct platform types:
iPaaS (Integration Platform as a Service)
- Cloud-based platforms providing self-service tools for building and maintaining integrations
- Visual workflow builders, pre-built connectors, and low-code development environments
- Examples: Boomi, MuleSoft, Workato, SnapLogic
- Operational model: Customer manages all integration operations
Enterprise integration suites
- Comprehensive platforms from major enterprise vendors (IBM, Microsoft, Oracle, SAP)
- Deep integration with vendor's ecosystem of products
- Support for both cloud and on-premises systems
- Operational model: Customer manages integrations within vendor ecosystem
API management platforms
- Unified API solutions that consolidate multiple third-party APIs
- Reduce complexity by providing single integration points
- Examples: Merge.dev, Kombo
- Operational model: Customer integrates once, platform manages multiple endpoints
Managed integration service providers
- Operate integrations as a service on behalf of customers
- Take full responsibility for monitoring, maintenance, and continuous optimization
- Examples: ONEiO
- Operational model: Provider manages entire integration lifecycle
The critical distinction in B2B integrations centers on operational responsibility. Traditional B2B integration platforms provide tools for customers to manage integrations themselves (for example through EDI/API connections). Managed service providers operate integrations as a service, handling monitoring, maintenance, and adaptation to changes without customer intervention.
Top 10 B2B integration solutions compared
After evaluating platforms based on operational approach, scalability, AI-readiness, and total cost of ownership, here are the best B2B integration solutions for 2026:
ONEiO
ONEiO is a next-generation Managed Integration Service Provider, delivering a cloud-based Integration Ops solution for IT and technology service providers. Unlike traditional system integrators, which rely on project-based custom integrations, ONEiO delivers and operates integrations as a service—eliminating bottlenecks, reducing costs, and accelerating time-to-value.
HQ:
Helsinki, Finland
Powered by ONEAI®, automation, and deep domain expertise, ONEiO’s Integration Ops model adapts to existing operations and business models, allowing customers to determine the level of control they retain. ONEiO takes the complexity out of integrations and turns them into a business advantage—delivering on our promise as The Integration Success Company.
Overall rating
Customer support rating
Pros:
- Support for integrations with multiple parties and tools, with Out-of-the-box runtime intelligence.
- Flexible and predictable subscription based pricing. Supports volume-based and fixed price integrations.
- Domain experts in B2B and Ebonding, including pre-integrated vendors.
Cons:
- Smaller partner network
- API management capabilities
- On-premise systems can be integrated using ONEiO. However, ONEiO cannot be deployed on-premise.
Informatica
Informatica Intelligent Cloud Services (IICS) is a comprehensive data management-centric iPaaS offering from an industry pioneer especially known for on-premise data infrastructure.
HQ:
Redwood City, California
Informatica focuses on amplifying on-premise data integration capabilities as part of its IDMC, offering a wide range of services for robust data management and integration strategies. It prioritizes data-centric integration with extensive features for governance, quality, and transformation, making it suitable for organizations emphasizing a unified data management approach. Informatica's global footprint and strong partner network support its comprehensive services, despite perceptions of complexity. Informatica was acquired on November 18, 2025.
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Pros:
- Broad industry solutions and on-premise integration features.
- Strong platform security and operational reliability.
- Depth in master data management capabilities.
Cons:
- Pricing based on compute power can be complex and costly.
- UX focuses primarily on data, less on guided integration.
- Less adapted to scaling cloud-based integrations.
IBM App Connect
IBM App Connect is an enterprise integration platform that enables businesses to connect applications, automate workflows, and synchronize data across hybrid cloud environments.
HQ:
Armonk, New York
IBM App Connect leverages AI-driven automation and transformation capabilities to streamline integrations between applications and data sources. It supports hybrid cloud environments, allowing businesses to integrate legacy systems with modern cloud-based applications. The platform includes built-in API management, ensuring secure and scalable connectivity between services. Additionally, its event-driven architecture enables real-time data synchronization and automated workflows.
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Pros:
- Good for hybrid cloud systems
- Built-in API security
Cons:
- It can be complex for beginners
SnapLogic
SnapLogic is a low-code integration platform that emphasizes fast development of data and application pipelines through a visual interface.
HQ:
San Mateo, California
The SnapLogic Intelligent Integration Platform uses a drag-and-drop pipeline builder with over 600+ pre-built connectors called “Snaps.” It’s designed to support a range of integration needs – from traditional ETL-style data integration for analytics to real-time application integration and even API creation – all with minimal coding. It supports diverse integration needs through a user-friendly interface and a modular approach. While innovative, its B2B capabilities are modest, making it suited for organizations prioritizing low-code process automation and data integration.
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Pros:
- Easy to use integration wizard
- Transparent pricing and multi-cloud marketplace presence.
- One of the first generative AI solutions in SnapGPT
Cons:
- Limited B2B integration features.
- Limited access permissions
- Learning curve for advanced use & debugging
Boomi
Boomi (formerly Dell Boomi) is a long-standing iPaaS leader known for connecting hybrid and legacy environments. It provides a comprehensive platform with multiple modules for integration, API management, B2B/EDI exchanges, workflow automation (“Flow”), and master data management.
HQ:
Chesterbrook, Pennsylvania
Boomi’s cloud-native AtomSphere platform uses low-code tools to build integrations that can run on cloud or on-premises (“Atoms”), enabling companies to link SaaS applications with on-premise systems seamlessly. It has been recognized for its ease of use and wide range of pre-built connectors, making it suitable for both traditional enterprise IT and modern cloud integration needs.
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Pros:
- Hybrid integration patterns, especially ESB-type integrations.
- Relatively quick and easy to get started.
- Large library of pre-built / out-of-the-box connectors.
Cons:
- Pricing models can be complex.
- Lacks extensive monitoring capability.
- Users report it to be difficult to configure for advanced uses.
Mulesoft
MuleSoft’s Anypoint Platform is a leading enterprise iPaaS known for its API-first approach to integration and its strong appeal to large IT organizations and system integrators (especially those in the Salesforce ecosystem, since MuleSoft is a Salesforce company).
HQ:
San Francisco, California
Mulesoft offers the Anypoint Platform, integrating applications, automations, and APIs. It focuses on democratizing integration for teams and evolving into an automation fabric supported by AI. With strong partnerships, it's ideal for organizations seeking an API-led strategy.
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Pros:
- API creation and integration capabilities.
- Supports automation with a large template library and RPA access.
- Wide capabilities in composite service integration.
Cons:
- Pricing models can be complex.
- Focused on Salesforce data ecosystem.
- Has a ton of functionality but is not easy to use
TIBCO
TIBCO has a long legacy in enterprise integration, known for powering mission-critical systems with its high-performance middleware.
HQ:
Santa Clara, California
TIBCO Cloud Integration includes a range of products for application, data, APIs, and automation. With a global presence and a focus on data integration, TIBCO is a fit for data-centric integration strategies and enterprises emphasizing developer self-service.
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Pros:
- Flexible, volume-based pricing.
- Diverse integration capabilities.
- Supports a wide range of integration styles.
Cons:
- Inconsistent user experience across products.
- Some functionality is only self-hosted.
- Less frequent feature updates.
Jitterbit
Jitterbit Harmony is a versatile iPaaS known originally for its appeal to small and midsize businesses, and it has expanded its reach into enterprise integration by focusing on flexibility and value
HQ:
Alameda, California
Jitterbit Harmony iPaaS focuses on in API, EDI, and easing citizen development, backed by a predictive pricing model. It innovates based on customer feedback, though its service integrator ecosystem is not as extensive. Its roadmap aims to improve business automation and developer support, making it an attractive option for general iPaaS needs or EDI modernization.
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Pros:
- Strong focus on EDI with significant templates.
- Simple user interface
- Customizable template marketplace for OEMs.
Cons:
- Limited prebuilt connectors and templates.
- Endpoint-based pricing model can be complex.
- Lacks cloud support for connectors.
SAP Integration Suite
SAP offers iPaaS functionality as part of its SAP Business Technology Platform, emphasizing integration within the SAP ecosystem.
HQ:
Walldorf, Germany
The SAP Integration Suite, part of the SAP Business Technology Platform, offers comprehensive integration capabilities. It focuses on SAP-centric ecosystems, aiming to unify business data and processes with a strong emphasis on AI. The suite's flexibility and extensive template library make it a robust option for businesses heavily invested in SAP products, offering a path towards digital transformation with a focus on modern application architecture.
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Pros:
- Thousands of templates, primarily for SAP applications.
- Global operational and support presence through SAP.
- Transparent pricing.
Cons:
- Perceived primarily as an SAP-centric tool.
- Business model leans heavily towards SAP applications.
- Pricing is not tailored to all market segments.
Oracle Integration Cloud
Oracle Integration Cloud provides a comprehensive iPaaS solution for integrating Oracle and third-party applications with pre-built adapters and AI-driven automation.
HQ:
Austin, Texas
Oracle Integration Cloud is a good option for businesses used to working within the Oracle ecosystem. It features AI-powered automation to streamline data workflows and enhance efficiency. The platform provides built-in security and governance controls, ensuring compliance with enterprise regulations. With a visual integration designer, businesses can create, monitor, and manage integrations with minimal coding effort.
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Pros:
- Strong Oracle integration
- Enterprise-grade security
Cons:
- Less flexible with non-Oracle tools
- Can become expensive at scale
Key selection criteria for B2B integration solutions
When evaluating B2B integration solutions for 2026, enterprise IT leaders should prioritize:
1. Operational model
Does the platform provide just tools, or does it operate integrations as a service? Organizations face significant integration complexity challenges, with the operational burden of managing integrations yourself creating substantial risk.
2. AI-readiness
Can the platform support the data access patterns required for AI initiatives? Modern AI deployments require seamless access to data across hybrid and multi-cloud environments without extensive manual preparation.
3. Scalability without complexity
As your integration needs grow, does complexity scale proportionally, or does the platform manage that complexity operationally?
4. Adaptation to change
When systems update or business processes change, do integrations require manual rework, or do they adapt automatically?
5. Total cost of ownership
Look beyond subscription fees to include internal resource requirements, maintenance overhead, and the cost of integration failures.
For more information on TCO, read our popular “build or buy integrations” guide.
Integration Ops: The future of B2B integration
The integration landscape is undergoing the same transformation that DevOps brought to software development and SecOps brought to security. McKinsey's 2025 research on the State of AI reveals that organizations must restructure entire processes and workflows to integrate AI effectively, moving beyond tools that merely increase individual productivity. This requires seamless integration with partner organizations.
Traditional integration approaches (project-based implementations, manual maintenance, reactive troubleshooting) no longer scale for modern enterprise requirements.
The shift to Integration Ops addresses key limitations of B2B integrations through:
- Continuous operations Integrations are monitored 24/7 with proactive issue resolution before problems impact service delivery.
- Automated compatibility management As APIs change, authentication updates occur, and systems evolve, Integration Ops ensures connections remain functional without manual intervention.
- Standardized delivery Proven methodologies ensure consistent, high-quality integration management across all customers, eliminating the variability of custom-built integrations.
- Scalable architecture Whether managing a few integrations or thousands, the operational model supports seamless expansion without proportional cost increases.
This operational approach becomes increasingly critical as enterprises scale AI initiatives across their partner network and supply chain.
Bottom line on B2B integration solutions
B2B integrations are experiencing massive growth thanks to ever more digitalized supply chains and complex IT service networks. As demand for B2B integrations is expected to grow, businesses increasingly face the choice of building or buying integrations that are capable of connecting their entire data ecosystem.
Many enterprise IT leaders have discovered that traditional project-based integrations no longer scale for modern B2B integration. The fragility of point-to-point connections, the operational burden of manual maintenance, and the inability to adapt to constant change create bottlenecks that constrain digital transformation and AI initiatives.
Integration Ops represents the evolution of integration from discrete projects to continuous operational management, treating integrations with the same rigor, automation, and expertise that DevOps brought to software development and SecOps brought to security. As you evaluate integration solutions for 2026, the question isn't which platform has the most connectors or the lowest price per transaction. The question is whether you want to operate integrations yourself or focus on delivering business value while someone else handles integration operations on your behalf.
Let us show you how simple creating your B2B integration ecosystem can be. Get in touch with us for a no-strings-attached assessment call.
Questions and Answers
What B2B integration approach best supports AI initiatives?
What is the total cost of ownership for different B2B integration approaches?
How does multi-cloud strategy impact B2B integration requirements?
How do I ensure B2B integrations remain operational as my business scales?
What B2B integration approach works best for service provider ecosystems?
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