As organizations begin shifting their artificial intelligence strategies from experimentation toward implementation, technology leaders are focusing less on technological proof of concept and more on specific business outcomes.
The latest Channelytics Year in Review (2024) reveals a notable shift in AI expectations. While 62% of organizations remain in exploration phases, 54% now anticipate significant business impacts within two years—double the 26% who have realized such benefits to date. This change mirrors the evolving investment strategies among solution providers. In 2024, only 22% aggressively invested in AI, with 50% cautiously investing and 28% taking a wait-and-see approach. However, this hesitation is fading rapidly as positive outcomes become clear. The percentage of solution providers deriving less than 5% of revenue from AI is expected to drop from 48% to 23%, while those generating more than 10% of revenue from AI will increase from 26% to 39%.[i]
As solution providers increase their AI investments and see real revenue growth, companies across industries are converting initial explorations into production-ready implementations that drive efficiency, safety, and operational excellence.
Real-world AI applications
From passive monitoring to proactive protection: How Fogsphere transforms workplace safety
Fogsphere typifies successful AI commercialization in workplace safety. Founded in London in 2021, the company has developed an intelligent platform that transforms standard security cameras into proactive safeguards using computer vision, generative AI, and Internet of Things (IoT) technology.
This innovative solution aims to convert millions of passive security cameras and sensors into real-time hazard detection tools. The platform's intuitive no-code interface and over 100 predesigned workflows democratize AI technology, enabling businesses to enhance worker safety, ensure regulatory compliance, and optimize operations.
By using HPE OEM Solutions for edge computing infrastructure, Fogsphere processes massive data streams in real time at the source, converting standard surveillance into smart, responsive monitoring solutions that deliver comprehensive return on investment (ROI) through reduced operational costs, fewer safety incidents, lower insurance premiums, and increased production efficiency.
The company's self-learning platform represents a significant advancement in AI efficiency. Tasks that previously required as many as 200 annotators working for one to two months can now be completed by a single person in just a few hours. This dramatic acceleration in training and deployment capability supports the Channelytics report projections that AI adoption rates will continue to grow into 2025 and beyond.
Enabling AI at the edge: Spectro Cloud transforms edge computing management
Spectro Cloud exemplifies the Channelytics prediction that AI workloads will increasingly move toward edge environments, with organizations seeking faster processing and reduced latency for sophisticated applications. The company's Palette platform revolutionizes Kubernetes management with its decentralized architecture, automating routine tasks and reducing the need for specialized expertise.
As organizations deploy increasingly sophisticated workloads at the edge, from AI-powered video analytics to real-time processing applications, Spectro Cloud's solution addresses the critical operational challenges that previously limited widespread adoption. The platform's autonomous policy enforcement at each edge location maintains performance even when disconnected, eliminating costly regional management servers while ensuring consistent security.
By partnering with HPE OEM Solutions to integrate Palette with HPE ProLiant DL145 Gen11 Server, Spectro Cloud delivers an edge-in-a-box solution that reduces field engineering costs by up to 95% while maintaining enterprise-grade performance. Organizations report deployment times reduced from weeks to days, with one global manufacturer successfully managing over 2,000 edge locations.
This advancement supports the Channelytics finding that as AI adoption accelerates, infrastructure solutions that simplify deployment while maintaining security and performance will become essential competitive differentiators for organizations moving from exploration to execution.
AI revenue growth and market impact
These implementations demonstrate how organizations are capturing the projected AI market growth by delivering solutions that generate substantial ROI. The 2024 Channelytics report shows the following shifts in AI revenue categories:
- Less than 5% of revenue from AI will decline from 48% to 23%
- 5–10% of revenue from AI will grow from 26% to 38%
- 10–25% of revenue from AI will increase from 18% to 26%
- More than 25% of revenue from AI will rise from 8% to 13%
This data illustrates the market's transition from experimentation to implementation, with organizations increasingly investing in solutions that deliver measurable business outcomes. While theoretical exploration characterized early AI adoption, today's focus is on deploying production-ready solutions with clear return on investment. This shift is particularly evident as mid-market and smaller organizations join large enterprises in implementing AI technology across operations.
Future AI market developments
The predictions in the Channelytics report are materializing rapidly as organizations prioritize measurable ROI over theoretical possibilities. AI security integration has become standard practice, while edge computing infrastructure has expanded to support diverse environments from manufacturing floors to retail spaces. Successful implementations now address key growth barriers through improved security frameworks, transparent cost-benefit analyses, and robust privacy protections.
As AI becomes essential to business operations, organizations accelerating adoption anticipate competitive advantages in efficiency, customer experience, and innovation. In today's market, success belongs to enterprises deploying production-ready AI solutions that solve specific business challenges with measurable results. The question is no longer whether to implement AI, but how quickly and effectively to do so.
Ready to move from AI exploration to execution?
When shifting from experimentation to implementation, having the right technology partner is crucial for success. HPE OEM Solutions can help you accelerate your AI journey with purpose-built infrastructure and expertise that delivers measurable business outcomes.
Contact HPE today to discover how we can help your organization implement production-ready AI solutions that drive efficiency, safety, and operational excellence.
[i] Hewlett Packard Enterprise, IPED Consulting, and The Channel Company, "Channelytics Year in Review: Trends & Directions," December 2024, 15-17.
MattQuirk
With a passion for innovation and technology, I am lucky enough to work within high-growth opportunities across multiple industries including manufacturing, healthcare, energy, media and entertainment and security - with technology innovations that are advancing the way people live and work such as AI, autonomous everything and 5G.