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The artificial intelligence market is undergoing an unprecedented transformation. According to a recent comprehensive report from the Poe platform, the competitive landscape in the AI field has shifted significantly in early 2025, with emerging companies rapidly eroding the market share of established giants. Poe, a platform hosting over 100 AI models, leverages interaction data from millions of users over the past year, offering a unique perspective on usage patterns for text, image, and video generation technologies. This typically protected usage data provides invaluable market insights for technology decision-makers. Market fragmentation and the rise of...

On February 25th, JD Retail's technology team announced the official launch and full opening of its self-developed JingDianDian AIGC content generation platform. This platform aims to provide e-commerce merchants with a highly efficient and cost-effective content generation solution using AI technology. Currently, the platform covers over 20 core scenarios, with daily AI capability calls exceeding 10 million times. It assists over 350,000 JD merchants in generating high-quality product images, marketing copy, and soon-to-be-launched main video, significantly improving content production efficiency and reducing production costs.

Market research firm Omdia has released a report indicating that the Chinese generative artificial intelligence (GenAI) software market is experiencing rapid growth. The report shows that by 2024, China's GenAI software revenue is expected to reach $1.8 billion, approximately 13.1 billion yuan. This market is still in its infancy, but the development potential over the next five years is enormous, with the market size projected to grow 5.5 times, reaching $9.8 billion by 2029, approximately 71.4 billion yuan. Omdia's report emphasizes

The fusion of generative artificial intelligence (AI) and marketing science is radically transforming the advertising industry. Despite some hesitation, more and more brands are beginning to recognize the immense potential of AI in creativity and operations. Iconic brands like Coca-Cola have already taken the lead by incorporating AI into their advertising campaigns. Coca-Cola used AI to remake its iconic ad "The Holidays are Coming," showcasing the technological advancements achieved in a short period of time. PetSmart Charities utilized AI to create vivid profiles of adoptable animals.

In a recent earnings call, Broadcom CEO Hock Tan shared an optimistic outlook for the future AI chip market, predicting that the company’s revenue in this area will see significant growth by 2027. According to him, the serviceable addressable market (SAM) for Broadcom's AI-related products and network services is expected to be between $60 billion and $90 billion. Tan also revealed that Broadcom is currently collaborating with three major hyperscale customers.

Recently, a business research company released its 2024 Generative AI Market Report, showing that the market has rapidly expanded in recent years. According to the report, the generative AI market is expected to grow from $13.64 billion in 2023 to $18.1 billion in 2024, with a compound annual growth rate (CAGR) of 32.7%. This growth is mainly attributed to increased computing power, widespread availability of data, continuous R&D advancements, increased industry applications, and breakthroughs in deep learning. Image Source Note: The image was generated by AI, image usage authorized.

This week, Apple unveiled its latest M4 series chips at a launch event, marking a strong performance in the personal computer market. Apple claims that devices equipped with M4Pro and M4Max significantly surpass competing AI PC chips, particularly in handling artificial intelligence tasks. The M4Pro chip offers up to 14 CPU cores, including 10 high-performance cores and 4 efficient cores, along with 20 GPU cores. Apple stated that the M4Pro excels in AI computing.

In the global wave of AI, India, a tech powerhouse, is experiencing significant market opportunities. According to a report jointly released by the IT industry association Nasscom and consulting firm BCG, the AI market in India is expected to reach $17 billion by 2027. Against this backdrop, the startup Neysa, led by seasoned tech entrepreneur Sharad Sanghi, emerged with the aim of capturing this growth opportunity by providing AI solutions to local and multinational companies. This Mumbai-based startup focuses on...

According to a latest report published by Bain & Company, the Artificial Intelligence (AI) market is experiencing explosive growth, with the market size expected to approach $1 trillion by 2027. This growth is mainly driven by increasing investments in AI technology and ongoing advancements in the technology. The report indicates that from 2022 to 2027, the compound annual growth rate (CAGR) for the AI market will be approximately 31%. Image source note: Image generated by AI, image licensed through Midjourney. So, what is driving this wave of growth?

With the rapid development of the global artificial intelligence market, Graphics Processing Units (GPUs) are essential as a core driving force for applications driven by large language models. In the coming years, GPU price volatility is expected to increase significantly, affecting companies' cost management. Traditionally, energy-intensive industries such as mining and logistics have been accustomed to cost fluctuations, while sectors like finance and pharmaceuticals need to adapt quickly. Nvidia, as a key supplier, has seen a surge in GPU demand and soaring valuations. The popularity of GPUs stems from their ability to handle vast amounts of computations in parallel, making them suitable for training and deploying large.

The AI industry is facing intense competition, turning the sale of AI models into a zero-profit business. Companies like OpenAI and Anthropic have invested billions in training large models, leading to fragile overall operations. Price wars have nearly eliminated the marginal profits for AI model developers, making it difficult for businesses relying solely on model sales. High R&D and hardware costs, combined with pricing competition, have pushe....