在云服务商新增选择方面，GCP位列第二，约44%的受访者计划未来采用GCP(仅次于Azure)，38%的受 访者预计将用GCP替代现有服务商(去年为36%)。在替代现有供应商的意愿中，GCP 以 38% 排第三，低 于 Azure(72%) 和 AWS(67%) 生成式AI领域，谷歌Gemini模型成为第二大最常用的大型语言模型(LLM)提供商，54%的受访者选择其 作为GenAI工具的底层模型，较2024年调查的50%有所提升。OpenAI 占比 73%，虽仍第一，但低于去 年的 82%，反映市场正趋向多元化选择。 值得关注的是，去年未纳入调查的Anthropic此次以35%的占比位列第三，Meta Platforms(META.US)则 凭借Llama模型以24%的占比位居第四。 智通财经APP获悉，TD Cowen将谷歌(GOOGL.US)目标价由240美元上调至270美元，并维持"买入"评 级，此番调整基于其针对生成式AI(GenAI)公共云领域的年度调查结果。 以约翰·布莱克利奇为首的分析团队指出，尽管谷歌云平台(GCP)在调查中展现稳健表现，但与市场领军 者亚马逊AWS(认知度94%)及微软Azu ...

Core Viewpoint - Wedbush identifies 30 technology companies that will define the future landscape of artificial intelligence (AI), including major players from both the US and China, such as Apple, Nvidia, Alibaba, and Baidu [1] Group 1: AI Investment and Market Dynamics - The AI investment wave, estimated at $2 trillion, began with the emergence of ChatGPT in late 2022, with Nvidia being the dominant force in the AI chip market [1] - Analysts estimate that for every $1 spent on Nvidia, an economic multiplier effect of $8 to $10 is generated across other tech ecosystems [2] - The initial phase of AI deployment is centered around Nvidia chips and cloud service giants, with Microsoft leading the cloud services sector [2] Group 2: Key Companies in AI Revolution - The report categorizes companies into six major categories, including: - **Hyperscale Computing Companies**: Microsoft, Google, Amazon, Oracle [4] - **Software Companies**: Palantir, Salesforce, IBM, ServiceNow, Snowflake, Adobe, Pegasystems, MongoDB, C3.ai, Elastic, Innodata, SoundHound AI [4] - **Consumer Internet Companies**: Apple, Meta, Alibaba, Baidu [5] - **Cybersecurity Companies**: Palo Alto Networks, Zscaler, CyberArk [6] - **Autonomous Driving and Robotics Companies**: Tesla, Oklo [7] - **Semiconductor and Hardware Companies**: Nvidia, AMD, TSMC, Broadcom, Micron Technology [8] Group 3: Future Outlook and Trends - The software sector is encouraged to join the AI revolution, with a significant increase in AI use cases expected by 2025, marking a transition to enterprise-level AI consumption [8] - The growth of AI use cases is anticipated to drive a technological transformation led by software and chips, influencing tech development beyond 2025 [9]