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PulseReporter > Blog > Tech > Main AI market share shift revealed: DALL-E plummets 80% as Black Forest Labs dominates 2025 knowledge
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Main AI market share shift revealed: DALL-E plummets 80% as Black Forest Labs dominates 2025 knowledge

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Last updated: March 11, 2025 3:39 am
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Main AI market share shift revealed: DALL-E plummets 80% as Black Forest Labs dominates 2025 knowledge
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New knowledge reveals dramatic AI market share shifts in 2025, with speedy adjustments in how companies and customers make the most of synthetic intelligence instruments. Poe, a platform that hosts greater than 100 AI fashions, has launched a complete report that gives an unprecedented look into real-world utilization patterns throughout textual content, picture and video era applied sciences.

Poe’s evaluation, based mostly on interactions from thousands and thousands of customers over the previous 12 months, provides technical decision-makers essential insights right into a aggressive discipline the place utilization knowledge is usually intently guarded. “As AI fashions proceed to progress, we imagine they may turn out to be central to how individuals purchase data, sort out advanced duties and handle on a regular basis work,” the corporate writes.

The findings spotlight important market fragmentation throughout all AI modalities. Whereas established gamers like OpenAI and Anthropic keep dominant positions in textual content era, newer entrants similar to DeepSeek (in textual content) and Black Forest Labs (in picture era) have rapidly captured significant market share, suggesting a dynamic ecosystem regardless of large investments flowing towards {industry} leaders.

Listed below are the 5 most stunning 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 era 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 various efficiency throughout completely different AI modalities reveals the challenges of reaching cross-modal management. Its Gemini household of textual content fashions “noticed rising message share by 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 era, Google’s Imagen3 household has secured a formidable 30% market share, whereas in video era, its Veo-2 mannequin has quickly captured 40% of messages.

This combined 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 relatively than assuming management in a single space interprets to excellence throughout all AI capabilities.

2. Video era experiences high-velocity competitors

Video era, the latest frontier in generative AI, has already witnessed intense competitors and quickly shifting management positions. In line with the report, “The video era class, whereas solely current beginning in late 2024, has quickly expanded to greater than eight suppliers now providing various choices to subscribers.”

Google’s Veo-2 mannequin (yellow) emerged in February 2025 to seize 39.8% of video era 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 powerful place with 30 to 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 latest launch on Poe, quickly captured practically 40% of complete video gen messages in just some weeks.”

Chinese language-developed fashions collectively account for roughly 15% of video era messages. Fashions like “Kling-Professional-v1.5, Hailuo-AI, HunyuanVideo and Wan-2.1 proceed to push the frontier on capabilities, inference time and value,” demonstrating that worldwide competitors stays a big consider driving innovation regardless of geopolitical tensions.

3. Picture era undergoes radical transformation

The picture era discipline demonstrates maybe essentially the most dramatic market shift in gen AI, with established gamers quickly dropping floor to newcomers. “First-mover picture gen fashions like Dall-E-3 and varied Secure Diffusion variations have been pioneers within the house, however have seen their relative utilization share drop practically 80% because the variety of official picture gen fashions has grown from 3 to ~25,” the report states.

Black Forest Labs emerged because the shock chief: “Black Forest Labs’s Flux household of picture era fashions burst onto the scene in mid 2024 and has maintained its dominant place because the clear frontrunner since, capturing near 40% of messages.” This represents a outstanding achievement for a relative newcomer in opposition to established rivals with huge sources.

The picture era market underwent a whole 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 era can be bearing fruit, with “Google’s Imagen3 household…on a gradual development since its late 2024 launch, carving out virtually 30% utilization share.” This positions Google as a powerful second-place contender regardless of its later market entry.

Poe’s knowledge reveals a regarding pattern for AI firms investing closely in sustaining older fashions: “As frontier labs launch extra succesful fashions, utilization of the brand new flagship mannequin in a supplier’s providing rapidly cannibalizes the older variations.”

This sample manifests throughout firms, with customers quickly abandoning GPT-4 for GPT-4o and Claude-3 for Claude 3.5. The implication is obvious: Sustaining backward compatibility and help for legacy fashions might have diminishing returns as customers persistently migrate to the latest choices.

Firms might must rethink their product lifecycle methods, doubtlessly focusing sources on fewer fashions with extra frequent updates relatively 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 era, however face rising strain from newer entrants. In line with Poe’s knowledge, “textual content utilization throughout OpenAI and Anthropic fashions has been practically equal, showcasing rising competitors within the extremely expressive textual content modality” since Claude 3.5 Sonnet’s launch in June 2024. Collectively, these two firms 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 rapidly translate to market share shifts, even in a discipline with robust community results and first-mover benefits.

Extra intriguing is DeepSeek’s emergence as a legit third contender. The report notes that “DeepSeek-R1 and V3 went from no utilization in December 2024 to realize 7% of messages at their peak, a considerably increased stage than any earlier open-source mannequin household, similar to Llama and Mistral.” This dramatic rise signifies that limitations to entry for brand spanking new textual content AI suppliers could also be decrease than beforehand anticipated.

The highway forward: A fluid panorama for AI decision-makers

The Poe report illuminates a gen 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 may be tomorrow’s also-ran.

What stays clear is that consumer preferences can shift dramatically with new mannequin releases, suggesting organizations ought to construct versatile AI stacks that may adapt to altering capabilities relatively 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 provide a glimpse into the shifting dynamics of the AI mannequin panorama.” For companies navigating this fluid ecosystem, the message is unmistakable: The AI revolution continues at breakneck pace, rewarding those that keep flexibility whereas punishing those that wager too closely on yesterday’s know-how leaders.

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