7 Hot AI Trends In 2025 For Midmarket IT Leaders To Know

AI-based solutions to help midmarket organizations continue to automate and transform will be big.

Artificial intelligence, especially GenAI, became almost as mainstream as smartphones in 2024. AI is familiar now to even nontech layman and has had, or is at least poised to have, a significant impact on nearly every industry.

Thus, AI played a huge role in tech vendors’ announcements and new product offerings this year. A major theme in many vendors’ AI-infused offerings was how AI could help midsize organizations automate and further their digital transformation goals.

There were several AI trends MES Computing covered this year, many of which had a specific focus on the midmarket business segment and are positioned to become even hotter trends in 2025.

Agentic AI

Agent-based AI will provide midmarket organizations with the same complex technology and capabilities that have typically only been available to large enterprises, several AI vendors and experts told MES Computing this year.

For example, data management startup Diliko unveiled the launch of its new platform last month, which it said is a cloud-based, agentic-AI-based data management offering that is designed for midmarket organizations.

“With Diliko, midsize enterprises can now access enterprise-grade data management without the overhead of additional infrastructure,” Dave Albano, CEO of Diliko, said in a news release.

Also this year SnapLogic, which creates generative integration platforms, unveiled its latest offering, Agent Creator, a platform that lets organizations build their own agents that scale and can integrate with over 1,000 systems, according to the company.

SnapLogic said that one of its midmarket customers, Independent Bank Corp., a Michigan-based community bank, used Agent Creator to reduce help desk tickets as well as call backlogs with agent-powered voice and online assistants.

Focus On Securing AL And ML Apps

As more organizations implement AI and machine learning applications, it will be critical for those organizations to learn how to secure those apps.

Earlier this year, Protect AI, which offers artificial intelligence and machine learning security, said that it is launching a new cybersecurity certification program headed up by a former Microsoft CTO, Diana Kelley, who is now the CISO at Protect AI.

The program focuses on how to build security into AI and ML apps. Offered as a four-part video series, the training teaches participants how to secure machine learning models, conduct AI-related risk assessments, audit and monitor supply chains, implement incident response plans, build a machine learning security operations team, and secure an organization’s AI and ML systems.

Automating Communications

AI’s ability to automate systems and processes was touted as a key business boon this year and a trend that will likely ramp up next year.

IntelePeer Chief Experience Officer Matt Edic spoke with MES Computing about using AI in its platform to help customers automate communications.

“Our vision is really 100 percent automation in the traditional contact center. Customers call and they have a question that they really could have probably self-helped if only they could have found the information. Let’s get those calls taken care of.

“We can do that in an automated way. The voice quality is good. The AI intelligence is good—call it a low value to the contact center, meaning they’re not going to make money off that interaction, they’re going to answer a question. It is important, but they need to answer that question: ‘Where’s my order?’ [for example],” Edic said.

Increase In AI Policymaking

Look for more midmarket and smaller organizations to seek guidance on AI policies in 2025 as AI adoption grows.

Legal advisers have been advising businesses to implement AI policies. “With employee use of AI prevalent and the legal landscape in flux, companies should consider whether to adopt a policy governing their employees’ use of AI and, if so, how extensive and prohibitive that policy should be. Depending on a company’s business profile, failure to do so could lead to violations of laws and regulations,” New York City-based law firm Kramer Levin advised.

This year, MES Computing compiled a list of AI policy frameworks that midmarket companies can use to build out their AI policies.

AI Advances Observability

“Observability” was an often-used word by tech vendors in 2024. But it’s more than a buzzword—it's an important component in a business’ quest for digital transformation.

Many midmarket businesses have a patchwork of systems and networks to monitor that can reside on-premises, in the cloud or in hybrid infrastructure. It can be a challenge to effectively monitor all of these systems, keep track of them, manage their log files, etc.

That’s where observability comes in. Observability can be applied to monitoring cloud infrastructure, endpoints, data, application behavior and more.

In 2024, AI fueled a number of observability offerings. Riverbed, which provides unified observabilityofferings, this year announced its open, AI-powered observability platform. As Alex Thurber, senior vice president of global partners and alliances, told MES Computing: “IT leaders at all sizes of organizations, including midmarket enterprises, are looking to observability solutions as they face immense challenges including complex IT environments, staffing shortages, heightened user expectations and operational costs.”

Easier Text-To-Video For Content Creation

More organizations are likely to use AI to generate visualized content for advertising, marketing, presentations and more.

This year OpenAI unveiled Sora, a tool capable of crafting lifelike 60-second videos from simple text prompts. Sora not only generates videos based on text prompts but also has the capability to use still images or existing footage as references.

MagicSlides was also on content creators’ radars. MagicSlides generates business presentations in seconds from text, YouTube videos, PDFs and other documents, URLs and images.

AI PCs Become More Widespread

AI PCs saw growth this past year and that is expected to continue into 2025. As CRN reported: “Research firms Gartner and IDC said in new forecasts ... that the emerging category of PCs with AI accelerator chips will grow fast and represent a substantial portion, if not a majority, of personal computers that vendors will ship in a few years.

“Over the past year, major PC vendors such as Lenovo, HP Inc. and Dell Technologies as well as chip suppliers like Intel, AMD and Qualcomm have coalesced around the idea of AI PCs becoming the next big thing in the personal computer market,” CRN reported.

“AI PCs use artificial intelligence technologies to elevate productivity, creativity, gaming, entertainment, security and more. They have a CPU, GPU and NPU to handle AI tasks locally and more efficiently,” according to Intel.