New knowledge reveals dramatic AI market share shifts in 2025, with speedy modifications in how companies and customers make the most of synthetic intelligence instruments. Poe, a platform internet hosting over 100 AI fashions, launched a complete report immediately that gives an unprecedented look into real-world utilization patterns throughout textual content, picture, and video technology applied sciences.
Poe’s evaluation, primarily based on interactions from thousands and thousands of customers over the previous 12 months, presents technical decision-makers essential insights right into a aggressive discipline the place utilization knowledge is usually intently guarded. “As AI models continue to progress, we believe they will become central to how people acquire knowledge, tackle complex tasks, and manage everyday work,” the corporate states in its report.
The findings spotlight important market fragmentation throughout all AI modalities. Whereas established gamers like OpenAI and Anthropic keep dominant positions in textual content technology, newer entrants comparable to DeepSeek in textual content and Black Forest Labs in picture technology have shortly captured significant market share, suggesting a dynamic ecosystem regardless of huge investments flowing towards trade leaders.
Listed here are the 5 most shocking takeaways from Poe’s evaluation of the early 2025 AI ecosystem:
A chart monitoring AI mannequin utilization on Poe throughout 2024-2025 exhibits OpenAI’s GPT-4o and Anthropic’s Claude fashions dominating the textual content technology market, whereas newcomers like DeepSeek have begun to seize significant market share. (Credit score: Poe)
1. Google exhibits uneven efficiency throughout AI modalities
Google’s diverse efficiency throughout completely different AI modalities reveals the challenges of reaching cross-modal management. Its Gemini household of textual content fashions “saw growing message share through October 2024,” however has been “declining since” regardless of substantial funding and technical capabilities.
This contrasts sharply with Google’s efficiency in different classes. In picture technology, Google’s Imagen3 household has secured a formidable 30% market share, whereas in video technology, its Veo-2 mannequin has quickly captured 40% of messages.
This blended efficiency means that technical excellence alone doesn’t assure market management. For enterprise decision-makers, this underscores the significance of evaluating AI capabilities on a modality-by-modality foundation somewhat than assuming management in a single space interprets to excellence throughout all AI capabilities.
2. Video technology experiences high-velocity competitors
Video technology, the latest frontier in generative AI, already witnesses intense competitors and quickly shifting management positions. In line with the report, “The video generation category, while only existing starting in late 2024, has rapidly expanded to more than eight providers now offering diverse options to subscribers.”
Google’s Veo-2 mannequin (yellow) emerged in February 2025 to seize 39.8% of video technology messages, quickly displacing early chief Runway (blue), which fell to 31.6% regardless of its first-mover benefit. (Credit score: Poe)
Runway, an early pioneer, “has maintained a strong position with 30-50% of video gen messages” regardless of having solely a single API mannequin. Nonetheless, Google’s entrance has instantly disrupted the established order: “Google’s Veo-2, since its recent launch on Poe, rapidly captured nearly 40% of total video gen messages in just a few weeks.”
Chinese language-developed fashions collectively account for about 15% of video technology messages. Fashions like “Kling-Pro-v1.5, Hailuo-AI, HunyuanVideo and Wan-2.1 continue to push the frontier on capabilities, inference time, and cost,” demonstrating that worldwide competitors stays a big think about driving innovation regardless of geopolitical tensions.
3. Picture technology undergoes radical transformation
The picture technology discipline demonstrates maybe probably the most dramatic market shift in generative AI, with established gamers quickly shedding floor to newcomers. “First-mover image gen models like DALL-E-3 and various StableDiffusion versions were pioneers in the space, but have seen their relative usage share drop nearly 80% as the number of official image gen models has grown from 3 to ~25,” the report states.
Black Forest Labs emerged because the shock chief: “Black Forest Labs’s FLUX family of image generation models burst onto the scene in mid 2024 and has maintained its dominant position as the clear frontrunner since, capturing close to 40% of messages.” This represents a outstanding achievement for a relative newcomer in opposition to established rivals with huge assets.
The picture technology market undergoes an entire reversal from early 2024 to 2025, with Black Forest Labs’ FLUX fashions and Google’s Imagen3 displacing early chief DALL-E-3, in response to Poe utilization knowledge. (Credit score: Poe)
Google’s strategic funding in picture technology can be bearing fruit, with “Google’s Imagen3 family has been on a steady growth since its late 2024 launch, carving out almost 30% usage share.” This positions Google as a robust second-place contender regardless of its later market entry.
Poe’s knowledge reveals a regarding pattern for AI corporations investing closely in sustaining older fashions: “as frontier labs release more capable models, usage of the new flagship model in a provider’s offering quickly cannibalizes the older versions.”
This sample manifests throughout corporations, with customers quickly abandoning GPT-4 for GPT-4o and Claude-3 for Claude 3.5. The implication is evident: sustaining backward compatibility and help for legacy fashions could have diminishing returns as customers persistently migrate to the latest choices.
Firms could have to rethink their product lifecycle methods, probably focusing assets on fewer fashions with extra frequent updates somewhat than sustaining intensive households of choices with various capabilities and value factors.
5. Textual content AI duopoly faces new challengers
OpenAI and Anthropic keep dominance in textual content technology however face growing strain from newer entrants. In line with Poe’s knowledge, “text usage across OpenAI and Anthropic models has been nearly equal, showcasing growing competition in the highly expressive text modality” since Claude 3.5 Sonnet’s launch in June 2024. Collectively, these two corporations command roughly 85% of textual content interactions on the platform.
Anthropic’s speedy ascension to parity with OpenAI means that high quality and functionality enhancements can shortly translate to market share shifts, even in a discipline with sturdy community results and first-mover benefits.
Extra intriguing is DeepSeek’s emergence as a professional third contender. The report notes that “DeepSeek-R1 and -V3 went from no usage in December 2024 to gain 7% of messages at their peak, a significantly higher level than any previous open-source model family, such as Llama & Mistral.” This dramatic rise signifies that obstacles to entry for brand spanking new textual content AI suppliers could also be decrease than beforehand anticipated.
The street forward: a fluid panorama for AI decision-makers
The Poe report illuminates a generative AI market characterised by speedy evolution, the place technical excellence alone doesn’t assure sustained market management. Enterprise decision-makers face an more and more advanced vendor panorama, the place immediately’s dominant participant is perhaps tomorrow’s also-ran.
What stays clear is that person preferences can shift dramatically with new mannequin releases, suggesting organizations ought to construct versatile AI stacks that may adapt to altering capabilities somewhat than locking into single-vendor options. The multimodal nature of AI adoption—with completely different leaders rising throughout textual content, picture, and video—additional complicates enterprise technique.
As Poe notes in its conclusion, “We hope these findings offer a glimpse into the shifting dynamics of the AI model landscape.” For companies navigating this fluid ecosystem, the message is unmistakable: the AI revolution continues at breakneck velocity, rewarding those that keep flexibility whereas punishing those that guess too closely on yesterday’s expertise leaders.
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