Techaisle Blog

AI will arrive as a capability integrated within other solutions

When artificial intelligence (AI) comes up in a discussion that focuses on SMBs, the first question is likely to be “how many organizations are using it – and how?”. Results from Techaisle survey on US SMB and Midmarket Analytics and Artificial Intelligence adoption research indicate that AI penetration within the midmarket, driven primarily by firms with more than 250 employees, is reasonably robust. Both small and midmarket businesses are forecasting a substantial rise in use in 2021. In both cases, “use of AI” actually means “use of systems/tools/other products that embed AI.” This is an important distinction. As an earlier-stage technology that is typically embedded when it reaches the SMB market, AI is within the top 15 IT priority list for SMBs. AI is far more likely to arrive in SMBs as capabilities within other products than as a stand-alone offering.

The survey research data indicates that SMB adoption of AI capabilities is still at an early point. Small businesses have little to lose by treating 2021 as an evaluation year, understanding how AI is being used to create real advantage within peer organizations. The situation is different for midmarket organizations, where early adopters are already gaining experience (and potentially, benefits) from AI-based systems. Midmarket firms will not alter their 2021 plans, and AI capabilities will be on IT’s radar and maybe, on evaluation lists for new tools/solutions.

SMBs are not ready to adopt AI as a core platform capability. If one reads “planning to use” as meaning “we consider AI to be a selling feature or factor in the evaluation of new solutions,” however, the SMB market for AI starts to become interesting.

Techaisle asked a follow-on question about AI deployment to respondents who reported that their organizations were currently using or planning to use: is AI currently deployed/in production within their organizations, are they presently implementing AI solutions, are they in a trial/pilot phases, or have they not yet started implementation?

With the caution that the stats below represent only the organizations committed to an AI path, AI – especially in midmarket organizations (and particularly within those with 500-999 employees) – is becoming reasonably well established. Within small businesses, 11% of the organizations using or planning to use AI report that they have AI in production. Midmarket figures are more robust: 24% of firms using/planning to use AI report having at least one AI-inclusive solution in production.

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Real production use of AI is still rare, especially for small businesses. SMBs should stay on the lookout for potential breakthrough AI-based solutions but shouldn’t feel pressured to adopt systems that don’t offer compelling value propositions and ROIs. Given the early stage of AI, these findings are indicators of interest, rather than definitive statements on market readiness. Every firm is a prospect for systems with embedded AI; the current state data mostly shows how advanced they are in their consideration of these capabilities.

Areas where AI is/will be integral to business success

To understand where AI is most likely to impact SMB businesses, Techaisle inserted two questions into the survey instrument: one asking respondents to identify areas where AI will be integral to business success. A second asks which internal functions were most likely to benefit from AI-based systems.

Research data shows that small business and midmarket organizations have very different visions of business processes most likely to benefit from AI adoption. By a healthy margin, small business respondents are most focused on AI to impact the customer experience positively. Business intelligence and analytics, HR/recruiting are cited as potentially benefitting from AI. Several other functions – process automation, finance and operations, web/social media analytics, and marketing/advertising – are also viewed as opportunity areas.

Midmarket firms are keen to apply data to risk reduction: these respondents view fraud analytics as the most likely area to benefit from AI. Midmarket decision-makers believe that web/social media analytics, customer experience, and process automation are good targets for AI. They also see “automation of repetitive tasks” and IT automation and management as high-potential areas for AI-based solutions.

There are no doubt other variants of “AI” that will emerge as the technology and its use cases mature. AI-deployment is a potentially-fertile opportunity for SMB users and suppliers alike, but flexibility will be a critical success component.

Geo research:

Techaisle survey on Europe SMB and Midmarket Analytics and Artificial Intelligence adoption research
Techaisle survey on Asia/Pacific SMB and Midmarket Analytics and Artificial Intelligence adoption research
Techaisle survey on Latin America SMB and Midmarket Analytics and Artificial Intelligence adoption research

If you missed our 2021 Top 10 SMB and Midmarket Predictions, here is the link

Top 10 SMB and Midmarket Predictions for 2021

In all sectors, 2020 was a challenging year – and as a result, 2021 is challenging from a market planning perspective. The disconnect between 2020 and 2019 was so severe that it rendered spend forecasts virtually useless: IT suppliers reacted to shifting market trends in real-time. As we enter 2021, IT product and service suppliers look to create a context for understanding the range of outcomes that the new year may bring. Techaisle's 2021 report series illuminates issues and requirements in the vast SMB market to support that effort. To start 2021, here are our top 10 predictions.

1. Digital inequality will be more important than the digital divide
2. Quest for reinvention, innovation, resiliency will drive bursts of incremental transformation goals
3. The hybrid workplace will require HR focus and drive adoption of workspace, workflow solutions
4. Meaningful customer partners and not trusted advisors will determine supplier success
5. Pragmatism will overtake progressiveness in technology adoption for a future-ready organization
6. Requirements for automation and enhanced IT services will become time-critical
7. Security and risk mitigation will focus on a safe middle ground
8. Systems of insight will move into the analytics mainstream
9. AI will arrive as a capability integrated within other solutions
10. Open source adoption will become an indicator of cloud success

Pandemic has changed how businesses operate, employees work, customers purchase and goods/services get delivered. This has also changed how small and midmarket firms are evaluating their core, cloud and edge technology needs to address their accelerated digital transformation objectives of cost efficiencies, operational excellence, innovation, business growth, organizational empowerment and customer intimacy. Clearly, core infrastructure has evolved to meet future digital transformation demands, but the question is how are small businesses and midmarket firms planning to adopt forward-facing solutions, like Artificial Intelligence, 5G, AR/VR, IoT, analytics and several others. There is a general sense within the SMBs that these advanced solutions will increase insight into and control over key aspects of their business operations and deliver benefits in different ways and to different ends.

Remaining true to the core belief of tracking the future of SMBs and channel partners, Techaisle studied global SMBs to determine future, planned and likely adoption patterns of several technology areas. The study of SMB and Midmarket digital transformation trends identified top 15 technology categories where the adoption growth rates will likely be highest in the next six months to a year. There are some surprises, for example, chatbots (for customer responsiveness), 5G (for enhanced mobility), open source (for cloud management, modernization and lower TCO), AI (for customer experience, security, operations) and several expected, for example, SD-WAN, HCI, WVD/VDI/DaaS and UCaaS.

Techaisle’s survey research of 1256 US SMBs shows that 9% of small businesses and 29% of midmarket firms are either currently using artificial intelligence (AI) or are conducting pilots. Comparing data from last year indicates an increase of 80% within small businesses and only 12% increase in midmarket firms. Answer to slower rate of adoption within midmarket firms is present in several follow-up questions. 53% of midmarket firms are finding that AI technology and expertise is too expensive and does not fit within their current budgets. In addition, 42% of midmarket CIOs say that the importance of AI, its benefits and immediate returns are not clear to the executive management thus hindering adoption. As a result, in only 10% of midmarket firms, AI has been designated as a technology priority for internal IT staff. However, of the 36% of midmarket firms that are planning to deploy AI, 31% are conducting trials. This number has nearly doubled from 17% a year ago.

For all of SMBs, data shows that use of AI is among the top 20 on the list of IT priorities for 2020. Cloud, mobility, security, managed services, HCI, unified workspace, SD-WAN, analytics, collaboration and virtualization have higher priorities. This opens up opportunities for channel partners, consultants and AI-technology suppliers to not only evangelize use cases but also build a blueprint for easy understanding, deployment alacrity of AI solutions that can deliver previously unimaginable business outcomes.

The entry point for most SMBs is when AI is embedded in cloud business applications. 25% of small businesses are contemplating using AI for HR and recruiting, a challenge that small business owners constantly face.

Not only is the adoption trend different between small and midmarket businesses, the expected benefits and application usages also differ. 41% of small businesses believe that use of AI in improving customer experience will be integral to their business success whereas 30% of midmarket firms believe that use of AI in fraud analytics and 27% in web/social media analytics will help drive better operational excellence and customer intimacy. For example, a midmarket firm that provides hostel and budget accommodations wanted to deliver analysis and personalized communication to over 500 micro consumer segments. After adopting AI tools from Persado (a marketing language cloud that uses AI-generated language for digital marketing) enabled the company to deliver more precise marketing content resulting in double-digit engagement uplifts and improved customer loyalty.

In fact, survey shows that customer experience improvements and strategic operational excellence are becoming the SMB themes for 2020 and beyond which will likely drive adoption of analytics and AI. 38% of small businesses believe that the use of AI will provide benefits to their customer support, sales/marketing teams as well as assist the entire organization in driving better business strategy. Similarly, 43% of midmarket firms believe that pervasive use of AI could provide benefits to make more informed strategic decisions.

All data and analysis in Techaisle’s upcoming research report SMB and Midmarket Analytics / Artificial Adoption trends.