AI Vendor Race Reshapes Entire Tech Stack, Says Gartner
▼ Summary
– The AI vendor race involves overlapping competitions across the AI technology stack, with no single clear finish line.
– GenAI capabilities are expected to become baseline requirements for software offerings within 36 months, eroding first-mover advantages.
– By 2026, more money will be spent on software with GenAI than without, and the GenAI models market is projected to grow significantly.
– Vendors must shift from use-case-oriented AI to approaches that deliver real business outcomes tied to mission-critical initiatives.
– Providers need to monitor frequent market shifts, understand competitor capabilities, and integrate targeted business outcomes to remain competitive.
A major competitive shift is underway across the technology industry, fundamentally altering how companies must operate to succeed. According to new analysis from Gartner, the intense competition among AI vendors is forcing a complete reevaluation of the entire technology stack. This isn’t a single contest with a clear winner, but a complex series of overlapping races involving infrastructure, model development, applications, and service delivery.
Gartner’s report, “The AI Vendor Race: What It Takes to Win in Volatile Conditions,” argues that the old ways of doing business are no longer sufficient. Simply offering an AI tool and expecting clients to discover its value is a failing strategy. Anthony Bradley, a Group Vice President at Gartner, explains that the end goals for participants vary widely, from achieving market dominance to securing technological breakthroughs or merely staying relevant in a fast-moving field.
Vendors must remain acutely aware of frequent market shifts to protect their position and seize any advantage. This demands a thorough grasp of competitor capabilities and their potential strategic moves. A deep understanding of how businesses adopt AI is equally critical, allowing vendors to position themselves to meet—or even create—market demand effectively.
The pace of change is relentless. Advantages gained from generative AI are eroding far more quickly than in previous innovation cycles, placing immense pressure on all technology providers. The market for GenAI is maturing at a startling rate. Gartner predicts that within just 36 months, having GenAI capabilities will be a standard, baseline requirement for any competitive offering. In fact, the initial first-mover advantage in software has already passed; by 2026, organizations are projected to spend more on software that includes GenAI features than on software without them.
The market for GenAI models alone is forecast to explode, with growth of 149.8% projected for 2025, pushing the market value beyond $14 billion. By 2028, growth is expected to stabilize at a still-robust 38% annually as GenAI becomes deeply embedded within applications. Simultaneously, the global market for servers optimized for AI workloads is anticipated to grow by 90.9% in 2025. By 2027, nearly all premium computing devices will come with AI capabilities built-in.
Bradley emphasizes that a fundamental strategic pivot is required. “Providers must pivot from functional, use-case-oriented AI to approaches that deliver real business outcomes tied to mission-critical initiatives,” he stated. The current success rate for GenAI projects is low, with Gartner forecasting that fewer than 20% will achieve their intended business value through 2026. To bridge this gap, product leaders must integrate specific, targeted business outcomes directly into their product engineering, marketing, and implementation processes. Companies that fail to make this crucial transition will quickly find themselves left behind.
(Source: ITWire Australia)
