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全球位置智能软件市场前10强生产商排名及市场占有率
QYResearch· 2025-08-21 09:42
位置智能软件( Location Intelligence Software ),也称为空间智能软件( spatial intelligence software ),是一种商业智能解决方案,可提供位置分析以根据某 些对象的物理位置识别其间的关系。位置智能工具使用户能够查看地图和图形上的趋势,以优化某些商业机会。用户可以借助密度分析、距离和旅行数据以及 用于确定地形的地理空间映射等功能,从这些位置分析中得出模式和趋势。 据 QYResearch 调研团队最新报告"全球位置智能软件市场报告 2025-2031 "显示,预计 2031 年全球位置智能软件市场规模将达到 19.5 亿美元 ,未来几年年复 合增长率 CAGR 为 8.1% 。 根据 QYResearch 头部企业研究中心调研,全球范围内位置智能软件生产商主要包括 Esri 、 Precisely 、 Alteryx 、 Qlik 、 CARTO 、 SAS 、 VIAVI Solutions 、 Kalibrate 、 Connectbase 、 GapMaps 等。 2024 年,全球前十强厂商占有大约 73.0% 的市场份额 。 就产品类型而言, ...
Moloco:AI锻造数字营销基座,帮助开发者“掘金”全球新蓝海
Huan Qiu Wang Zi Xun· 2025-08-21 04:30
来源:环球网 【环球网科技报道 记者 郑湘琪】当前在技术创新与文化融合双重驱动下,中国游戏出海成果丰硕。中 国音像与数字出版协会发布的《2025年1-6月中国游戏产业报告》显示,今年1至6月,中国自研游戏海 外市场实际销售收入达95.01亿美元,同比增长11.07%。 面对全球互联网生态的快速变化,Moloco如何以AI驱动的广告技术,助力中国开发者构建可持续增长 模式?对此,记者与Moloco相关负责人进行了交流。 值得一提的是,在联网电视 (CTV)层面,Moloco 目前已经实现了程序化的、结合机器学习模型的精准 投放和精准衡量。杜恔透露,Moloco的CTV产品正在以非常快的速度推进,已经能支持以CPI(每次安 装费用)为目标的优化。"而且这个CPI可以是移动游戏里的'I',也可以是PC游戏的'I',也可能是 Consloe游戏的'I',实现跨设备、跨场景的用户行为识别,实现从曝光到转化的全流程识别和优化。现 在Moloco 的 CTV 解决方案已覆盖游戏、体育等多个垂直领域,并与 TVING 等领先平台建立深度合 作,我们将持续为广告主创造更大价值。" 加码全球布局:从"围墙花园"外挖掘增量市场 当 ...
美光科技下跌5.04%,报115.9美元/股,总市值1297.07亿美元
Jin Rong Jie· 2025-08-20 14:03
8月20日,美光科技(MU)盘中下跌5.04%,截至21:48,报115.9美元/股,成交5.97亿美元,总市值 1297.07亿美元。 9月24日,美光科技将披露2025财年年报(数据来源于纳斯达克官网,预计披露日期为美国当地时间, 实际披露日期以公司公告为准)。 资料显示,美光科技公司 ("美光科技") 是半导体行业的全球领军企业。通过他们的全球品牌 Micron,Crucial和Ballistix他们广泛的高性能存储器和存储技术组合,包括DRAM,NAND,NOR Flash和3D XPoint存储器,正在改变世界如何利用信息来丰富生活。凭借40年的技术领先地位,他们的内存和存储解 决方案在云数据中心,网络和移动等关键市场领域实现了颠覆性趋势,包括人工智能,机器学习和自动驾驶 汽车。他们的普通股MU在纳斯达克交易所交易。 本文源自:金融界 财务数据显示,截至2025年05月29日,美光科技收入总额260.63亿美元,同比增长50.12%;归母净利润 53.38亿美元,同比增长4997.25%。 作者:行情君 大事提醒: ...
第四范式连续七年位居中国机器学习平台市场No.1 登顶大模型开发平台领导者象限
Zhi Tong Cai Jing· 2025-08-19 12:30
近期,国际数据公司(IDC)接连发布两大权威报告:《中国人工智能软件2024年市场份额:智能体是未来》(IDC #CHC53138725):第四范式(06682)2024中国 机器学习平台市场份额第一,这已经是集团连续七年蝉联此殊荣,标志着集团自2018年首度领跑以来,持续扩大技术领导力与市场竞争力,进一步巩固行业 龙头地位。 《中国大模型开发平台2025年厂商评估》(IDC #CHC52999725):第四范式定位在领导者类别,与百度、阿里、商汤等一众头部厂商共同引领技术前沿。 持续领跑的核心驱动力 第四范式蝉联中国机器学习平台市场份额桂冠的深层竞争力源于三大核心能力: 1. 平台化产品战略 通过标准化AI开发平台降低技术应用门槛,实现从模型开发到部署运维的全流程闭环,显著提升企业AI规模化落地效率。 2. 跨行业深度赋能 覆盖金融、能源、制造、零售等千行万业的解决方案库,形成可复用的行业Know-how体系。 3. 客户价值闭环 服务超161家财富世界500强及行业头部客户,以AI提升核心竞争力,构建起"落地—验证—升级"的价值增强飞轮。 ·产品软件:支持大模型全生命周期一体化管理「Dev+Serve一体 ...
国新证券每日晨报-20250819
Domestic Market Overview - The domestic market experienced a rise in both volume and price, with the Shanghai Composite Index closing at 3728.03 points, up 0.85%, and the Shenzhen Component Index closing at 11835.57 points, up 1.73% [1][11] - A total of 28 out of 30 sectors in the CITIC first-level industry index saw gains, with notable increases in telecommunications, computers, and defense industries, while only real estate and petroleum sectors experienced slight declines [1][11] - The total trading volume of the A-share market reached 280.91 billion yuan, significantly higher than the previous day [1][11] Overseas Market Overview - The three major U.S. stock indices closed mixed, with the Dow Jones down 0.08%, the S&P 500 down 0.01%, and the Nasdaq up 0.03% [2] - The Wande American Technology Seven Giants Index fell by 0.15%, with Facebook dropping over 2% [2] News Highlights - The State Council, led by Premier Li Qiang, emphasized the need to enhance the effectiveness of macroeconomic policies and stabilize market expectations [12][15] - The Zhejiang Provincial Government issued a three-year action plan (2025-2027) to accelerate the development of the first-store economy, aiming to add over 2000 new urban brand first stores by 2027 [18] - The China Automotive Industry Association reported that 13 companies' 49 vehicle models met five compliance requirements for automotive data security [19] Industry Insights - The AI public cloud service market in China is projected to reach 19.59 billion yuan in 2024, reflecting a year-on-year growth of 55.3% [21] - The cold chain logistics sector showed steady growth, with a total demand of 192 million tons in the first half of the year, up 4.35% year-on-year, and total revenue of 279.94 billion yuan, up 3.84% [24]
Cell Res:左二伟团队开发AI模型——AlphaCD,高精度表征胞嘧啶脱氨酶
生物世界· 2025-08-18 08:30
Core Viewpoint - The rapid development of genomics presents unprecedented opportunities and challenges for characterizing protein functions, highlighting the limitations of traditional biochemical methods and the need for high-precision, quantitative approaches [3][4]. Group 1: Research Development - A machine learning model named AlphaCD was developed to accurately characterize 21,335 cytidine deaminases (CD), demonstrating high precision in predicting catalytic efficiency, off-target activity, target site window, and catalytic motifs [4][6]. - The research team experimentally characterized 1,100 APOBEC-like family cytidine deaminases fused with nCas9 in HEK293T cells, generating the largest dataset of experimental functional data for a single protein family to date [6][8]. Group 2: Model Performance - AlphaCD achieved high precision in predicting catalytic efficiency (0.92), off-target activity (0.84), target site window (0.73), and catalytic motifs (0.78) [6]. - The model was validated by subsampling 28 cytidine deaminases from the Uniprot database, with prediction accuracies of 0.84, 0.87, 0.75, and 0.73 for the respective features [6][8]. Group 3: Practical Application - The research team optimized the off-target site of one cytidine deaminase (A0A2R2Z4E4) using alanine scanning mutagenesis, creating a variant (A0A2R2Z4E4 E100A) that serves as a highly accurate and efficient cytidine base editor [8]. - This case exemplifies the application value of AlphaCD in high-precision, high-throughput protein function characterization and provides a paradigm for accelerating functional analysis of other proteins [8].
市场分析师能力培训课程推荐:职场升级三步走
Sou Hu Cai Jing· 2025-08-15 11:40
市场分析师的核心能力画像 如果把市场分析师比作商业世界的"数字翻译官",能力树需要同时扎根硬技能土壤和软技能枝叶——既能用Excel把用户行为变成可 视化的流量地图,也能在会议室里把数据结论翻译成老板听得懂的生意经。 软技能金字塔 三段式成长路线图 1. 筑基期(0-1年) 通关任务:把Excel玩成数据透视的魔法水晶球 升级秘籍:从日常报表里挖掘3个反常识现象(比如周四的转化率总是飙升),用对比分析法写成月度洞察报告,你会突然发现总监 看你的眼神不一样了。 2. 突破期(2-3年) 觉醒时刻:当你能用Python自动生成竞品价格监测周报 实战演练:在用户画像项目中尝试关联规则挖掘,你会惊讶地发现购买猫粮的用户有27%同时在看健身环——这时候该建议市场部推 出"喵星人健身大礼包"吗? 3. 飞跃期(5年+) 终极形态:用机器学习预测下季度市场渗透率 (职场进阶就像搭乐高,每块能力积木都要精准卡位) 硬技能四象限 职业升级方程式 知识输入 × 实践验证 + 认证背书 = 指数级成长建议每完成一个学习阶段,就用CDA认证作为能力检验的"期中考试"。当你的LinkedIn 简历上出现那个蓝色徽章时,猎头的电话会来得 ...
【环球财经】新研究利用机器学习估算全球冰川侵蚀速率
Xin Hua She· 2025-08-11 13:57
Core Insights - An international research team has developed a machine learning-based equation to quantify glacier erosion rates, estimating the erosion rates of over 180,000 glaciers globally [1][2] - The study indicates that 99% of glacier erosion rates fall between 0.02 mm and 2.68 mm per year, with the majority of modern glaciers' erosion rates estimated [1] - The research highlights that glacier movement speed is not the most critical factor in predicting erosion rates; a combination of glaciology, geomorphology, and geological factors provides a more accurate prediction [1][2] Group 1 - The study utilized machine learning to analyze the erosion rates of 181 modern glaciers, leading to the creation of equations applicable to various environmental types [1] - The research was published in the journal Nature Geoscience, indicating a significant advancement in understanding glacier dynamics [1] - The findings suggest that the conditions leading to glacier base erosion are more complex than previously thought, influenced by multiple variables [2] Group 2 - Key variables affecting erosion rates include temperature, water volume beneath glaciers, rock types in the area, and geothermal heat [2] - Understanding these factors is crucial for landscape management and monitoring global sediment and nutrient movement [2]
官宣!2025 全球机器学习技术大会北京站首批嘉宾出炉,重磅来袭!
AI科技大本营· 2025-08-11 07:16
Core Viewpoint - The 2025 Global Machine Learning Technology Conference in Beijing is officially announced, following the successful Shanghai event, focusing on cutting-edge AI topics and featuring top scholars and industry practitioners [1][2]. Group 1: Conference Overview - The conference will take place on October 16-17, 2025, and is co-hosted by CSDN and Boolan, emphasizing high-quality discussions on AI evolution and industry applications [1]. - It aims to cover 12 key topics that address the most advanced and engineering challenges in AI, focusing on "technological explainability, engineering replicability, and scene applicability" [2][3]. Group 2: Core Topics - The 12 core topics include: - Evolution of large language model technology - Practical applications of large models - Software development transformation driven by large models - Frontiers of multimodal large models - Innovation and exploration of GenAI products - Infrastructure construction for large models - Engineering and architecture of large models - Technical analysis of DeepSeek and industry applications - AI agents - Embodied intelligence and smart hardware - Computing power infrastructure and performance optimization - Industry application practices of large models [4]. Group 3: Speaker Highlights - The conference will feature prominent speakers from various leading companies and research institutions, providing deep insights into the future of AI [6][7]. - Notable speakers include: - Zhao Jian, Director of Multimedia Cognitive Learning at China Telecom AI Research Institute [8]. - Zhou Pan, Multimodal Intelligence Lead at Li Auto [10]. - Tang Rui, Chief Scientist at Qunke Technology [13]. - Zhang Junlin, Chief Scientist at Sina Weibo [14]. - Leng Dawei, Vice President of 360 AI Research Institute [15]. - Wang Zhaode, Technical Expert at Alibaba [16]. - Jiang Yudong, Head of Intelligent Creation Technology at Bilibili [18]. - Chen Yingfeng, Head of Robotics Algorithms at NetEase [19]. - Zhang Heng, Senior Algorithm Expert at Xiaomi [20]. Group 4: Call for Participation - The conference invites AI community members to contribute by sharing their successful cases, technical insights, and innovative ideas, enhancing the event's value [24][25]. - Companies are encouraged to participate through exhibitions, technical exchanges, and project collaborations to showcase their innovative technologies and expand cooperation opportunities [27].
万通发展拟跨界收购数渡科技63%股权 开辟高速交换芯片新增长点
Jing Ji Guan Cha Wang· 2025-08-11 05:33
Core Viewpoint - The company, Wantong Development, is planning to invest approximately 854.45 million yuan to acquire a 62.98% stake in Beijing Shudu Information Technology Co., Ltd. (Shudu Technology), marking a strategic move towards digital technology and high-value digital chip sectors [1][2]. Group 1: Investment Details - The investment will be executed through capital increase and equity transfer, with a board meeting scheduled for August 13 to review the investment [1]. - Upon completion of the investment, Shudu Technology will become a subsidiary of Wantong Development and will be included in the consolidated financial statements of the company [1]. Group 2: Business Focus of Shudu Technology - Shudu Technology specializes in high-speed interconnect chip design and development, providing ASIC chip customization services, with its core product being PCIe high-speed switching chips [1][2]. - The PCIe high-speed switching chip is essential for connecting devices and facilitating high-speed data transfer, widely used in servers, AI computing, and storage [1][2]. Group 3: Market Potential - The global PCIe switching chip market was valued at approximately $4.58 billion in 2022, with projections to reach $13.53 billion by 2030, reflecting a compound annual growth rate (CAGR) of 14.5% from 2022 to 2030 [2]. - The AI server sector is expected to be the fastest-growing downstream market for PCIe switching chips, with global AI server shipments projected to reach 1.65 million units in 2024, a 46% year-on-year increase [2]. Group 4: Domestic Market Dynamics - Currently, the domestic market for mid-to-high-end PCIe switching chips relies heavily on imports, with U.S. firm Broadcom dominating the AI server market [3]. - Domestic manufacturers, including Shudu Technology, are actively developing PCIe switching chips, indicating a push towards domestic substitution in the market [3]. - The transaction is expected to accelerate the process of domestic substitution for switching chips, supported by policies, market demand, and capital investment [3].