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Techaisle Analyst Insights

Trusted research and strategic insight decoding SMBs, the Midmarket, and the Partner Ecosystem.
Anurag Agrawal

AWS Marketplace and the Composed Shelf: What Agentic Procurement Changes for ISVs and the Channel

Depending on geography, between 7% and 12% of SMB and midmarket buyers use a cloud marketplace to discover software. The rest arrive at AWS Marketplace, or at any of its competitors, already decided. A partner or an ISV brings them, and they transact there for contract consolidation, committed-spend drawdown, and procurement governance rather than for anything resembling search.

Call it the Discovery Deficit. Cloud marketplaces have functioned as procurement rails, not demand engines. They close deals that were originated somewhere else, by someone else, usually a partner.

That gap is why the AWS Marketplace agentic procurement announcements matter, and it is also why most coverage is aimed at the wrong question. Whether AI improves marketplace search is not interesting. Whether a marketplace that has never originated demand in the smaller segments can begin to do so, once the buyer stops being a person typing keywords, is a different question entirely, with different consequences for everyone downstream.

techaisle aws marketplace writeup

Three changes, and what each one is actually buying

AWS Marketplace has made three structural changes that are easy to read as feature releases. Read against the Discovery Deficit, each is doing something more specific.

The first is the replacement of lexical search with conversational discovery. Agent Mode, launched at re:Invent 2025, lets a buyer describe a requirement in natural language, upload an RFP or a requirements document, and receive ranked recommendations with side-by-side comparisons. Conversational search converts better than keyword search, which is unsurprising. The more important change is in what the interface is for. A keyword catalog fulfills a decision the buyer already made, and works only for someone who knows what to type. A conversational one helps make the decision, and deciding is the step SMB and midmarket buyers have always outsourced, because they have no procurement function to run comparative analysis internally. That is also why so few of them discover software in a marketplace: a catalog that cannot help you decide is little use to someone who cannot decide alone.

The second is building for machines to read rather than people. Most web pages assemble themselves in the browser, so a crawler or an agent that arrives sees almost nothing. AWS builds Marketplace pages to arrive complete, which means an agent reading one gets the whole listing. It has also opened the catalog to direct queries through an MCP server, so a buyer's own AI assistant can ask it questions without visiting a page at all. Most platforms building AI discovery are building a destination and trying to keep the buyer inside it. AWS is doing close to the opposite, and that choice says more about the strategy than anything else in the set. Making the catalog legible to agents AWS does not own is a distribution choice rather than an experience choice, and it concedes that the buyer's first conversation about software will happen somewhere else. The competitive unit shifts accordingly, from whose marketplace interface is best to whose catalog is most readable by someone else's agent.

The third is the automation of the transaction, which arrives from two directions at once. Express Private Offers let a seller define rate cards, discount tiers, volume breaks, and qualification criteria in advance, so an offer can be generated and accepted without a human negotiating it, which lowers the cost of serving a small software deal. In June 2026, AWS cut its professional services listing fee from 2.5% to 0.5%, and takes it to zero where those services are bundled into a multi-product solution or attached to a Migration Acceleration Program engagement, which lowers the cost of attaching services to that same deal. Multi-product solutions then let software, third-party components, and professional services sit in one listing under one procurement flow. A fee that vanishes at the exact moment services are attached to software is a routing incentive rather than price relief, and it routes toward the bundled listing as the default unit of sale. All of this aims at deals neither AWS nor its partners could previously work economically, which are the same deals where the Discovery Deficit lives.

Individually these read as product announcements; together they describe a platform trying to convert itself from a procurement rail into a demand engine, which is a considerably harder thing to be.

The Composed Shelf

Anurag Agrawal

Global Reach, Streamlined Sales: IBM Expands Software Sales on AWS Marketplace

Over the past four years, the IBM-AWS partnership has evolved into a unique success story. Unlike many other collaborations, this partnership is a complete 360-degree relationship, encompassing a wide range of collaborations. These two tech giants have achieved remarkable milestones in a relatively short timeframe. IBM Consulting, for instance, boasts an impressive number of AWS certifications (over 23,000) and competencies (19). They are also working together on the cutting-edge field of Generative AI (Gen AI). The partnership has fueled significant growth in adopting Red Hat Open Shift on AWS (ROSA), a native service within the AWS console, proving instrumental in IBM's hybrid cloud strategy. This strategy prioritizes co-existence between cloud and mainframe environments. The focus on collaboration extends to mainframe application modernization, where IBM and AWS have developed valuable patterns that showcase the combined power of these technologies. Additionally, a clear roadmap has been established for watsonx on AWS, with integrations underway with SageMaker, Bedrock, and other AWS products to accelerate Gen AI development and generate a wealth of practical use cases.

The partnership extends beyond just collaboration on specific technologies. IBM software is experiencing a surge in popularity on the AWS platform, with 29 products now available as-a-service offerings. This is part of a larger picture that includes 29 IBM software products and 44 transactable marketplace listings on AWS. The resell model for these offerings has also seen expansion, now encompassing five countries: the US, France, Germany, Denmark, and the UK. Furthermore, a two-tiered distribution model has been established in these countries with industry leaders like Ingram Micro, TD Synnex, and Arrow, further strengthening the reach of these combined solutions. Notably, a significant portion of IBM's partners are already established AWS partners. These partners recognize the value proposition of adding IBM solutions to their offerings, creating a win-win situation for all parties involved – IBM, AWS, and their partners, who can now deliver even more comprehensive solutions to their customers.

In the latest move, IBM and AWS have announced a strategic partnership that promises to reshape the landscape of AI and data technology. This alliance will provide partners and clients unprecedented access to advanced technologies, opening up new avenues for growth and innovation. The collaboration between these two tech giants means clients will now have enhanced access to IBM's robust AI and data platforms through AWS's expansive marketplace. This integration allows for the seamless adoption of sophisticated tools to drive business transformation. With IBM's technology becoming available on AWS, the marketplace is poised to expand significantly. Partners can leverage this opportunity to offer a broader range of services and solutions, catering to the diverse needs of businesses across various industries. The synergy between IBM's AI and data expertise and AWS's cloud infrastructure is expected to deliver enhanced business value. Clients can expect more efficient operations, improved customer experiences, and the ability to tap into new markets, thanks to the comprehensive solutions provided by this partnership.

The IBM-AWS partnership is more than just a collaboration; it's a fusion of strengths that will empower partners and clients. As the partnership evolves, we can anticipate a wave of innovation that will lead the way in AI and data technology, ultimately benefiting businesses around the globe.

Anurag Agrawal

SMB Cloud starts with established global vendors

Techaisle’s recently completed study 2015 SMB Cloud Computing Adoption Trends shows that SMB cloud buyers look first to large, established vendors for cloud solutions, but their sourcing preferences diverge from there, with small businesses most likely to trust product vendors and midmarket firms willing to investigate a wide range of specialist providers.

Over 30% of current small and midmarket cloud users report that they turned to a large IT vendor (including Amazon in this group) for in-use cloud solution. Small businesses were also very likely to have acquired cloud from a specialized vendor selling security, storage, virtualization or a similar offering. Small businesses also frequently rely on software vendors like Salesforce.com or their telecom service provider for cloud, and are somewhat likely to acquire solutions from SIs, consultants or outsourcing companies.

The midmarket results are fascinating.

Trusted Research | Strategic Insight

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