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Ciclo de armazenamento reestruturado por IA: sinal de negociação da queda dos smartphones e mudança de estratégia da Micron
2026年的全球智能手机市场,正在经历一场前所未有的结构性震荡。
Market research firm IDC, in its latest "Global Quarterly Mobile Phone Tracker" report released in May 2026, predicts that global smartphone shipments will decline by 13.9% year-over-year to 1.09 billion units. This figure further worsens the 12.9% decline forecasted by the same机构 in February 2026, setting the record for the largest annual contraction in the history of the smartphone industry. Another leading research firm, Counterpoint Research, also released a report at the same time with a similar forecast—2026 global smartphone shipments expected to decrease by 13.9% YoY, with the total scale dropping to about 1.08 billion units, marking a new low since 2013.
From a longer-term perspective, the growth trajectory of the global smartphone market clearly shows a curve shifting from prosperity to decline. IDC data indicates that in 2024, global smartphone shipments grew by 6.2% YoY, in 2025 by 2.1%, but in 2026 sharply turned to a decline of 13.9%, with an expected further decrease of 1.1% in 2027. IDC forecasts that as storage supply tightness gradually eases, the market may only recover growth by 2028, with an increase of 5.5%.
The depth and breadth of this industry downturn surpass any previous cyclical recession.
存储芯片危机:AI算力扩张如何挤出了智能手机
驱动2026年智能手机市场创纪录下滑的核心引擎,并非需求端的自然衰减,而是供给端的结构性挤占——人工智能基础设施建设的爆发式增长正在以前所未有的速度吞噬全球存储芯片产能。
IDC高级研究总监Nabila Popal在报告中明确指出:“不断深化的存储芯片短缺危机仍是今年创纪录的14%出货量下滑背后的主导力量”。这种短缺并非简单的供需错配,而是由AI算力扩张引发的产能再分配所导致的系统性挤占。
HBM(高带宽存储器)的供不应求并非单纯的需求激增,而是由制造工艺的结构性特征决定的供给刚性约束。据EE Times报道,HBM3E所消耗的晶圆面积约为标准DDR5的三倍。在晶圆开工量短期受限于设备供应和厂房建设的背景下,每一片分配给HBM的晶圆,都意味着减少了一片可用于LPDDR5X或标准DDR5的产能。
截至2026年第一季度,SK海力士、三星电子和美光三大原厂的HBM产能已处于售罄状态。美光管理层公开确认,公司仅能满足客户实际需求的约50%至66%。SEMI中国总裁冯莉指出,尽管三大原厂已将70%的新增或可调配产能倾斜至HBM,HBM产能缺口仍高达50%至60%。
需求端的数据同样触目惊心。群智咨询预测,2026年全球AI服务器出货量将达到约370万台,同比增长51.3%。2026年AI服务器对应的DDR存储需求同比增幅可达105%,HBM需求同比增幅达到110%。从需求占比来看,2026年全球DRAM总出货容量中,AI服务器的需求占比将突破40%,预计2027年将攀升至49%。另有机构预计,2026年生产的DRAM芯片中,将有70%被数据中心消耗。
这种需求结构的剧变,使得此前集中于高端HBM的涨势开始向全品类DRAM扩散。TrendForce数据显示,2026年第一季度DRAM产业整体营收季增81%,达970亿美元,其中通用型DRAM合约价加速上涨,季增幅度高达93%至98%。DRAM现货价格自2026年1月初以来累计上涨52%,花旗预计2026年全年DRAM均价涨幅高达200%。
存储芯片价格的飙升直接传导至智能手机的整机成本。IDC数据显示,2026年全球智能手机平均售价将被推升至创纪录的550美元,较上年大幅跳升100美元。在成本压力下,手机厂商普遍选择减少出货、提高售价,并将资源集中于利润更高的高端产品线。
IDC预计,2026年第一季度,800美元以上的高端机型将占整体出货量的60%。而售价低于200美元的低端市场正在急剧萎缩。IDC高级研究总监Nabila Popal直言:“对消费者而言,超廉价智能手机的时代已经结束”。
地缘政治与结构性分化:一场不均衡的衰退
存储芯片危机并非压垮智能手机行业的唯一因素。IDC的报告指出,美伊战争为智能手机OEM厂商带来了新一层成本压力,主要体现在油价上涨和运输成本的增加上。这些压力与高企的内存成本相互叠加,正驱使厂商进一步削减出货量、上调价格,并将重心转向更高价位的机型。
这场衰退在不同区域之间呈现出显著的不均衡性。IDC数据显示,中东北非地区预计将下滑23%,中东欧地区下滑19%,亚太(不含日本和中国)地区下滑14%。这些区域恰恰是低价智能手机最为集中的市场。相比之下,北美地区由于高端机型接受度较高,全年出货量预计仅下降6.3%。
不同厂商之间的表现也将出现明显分化。由于Galaxy S和Galaxy Z Fold等高端产品占比较高,三星被认为有望在行业下行中提升市场份额。苹果则凭借提前锁定内存供应等超前布局,展现出明显的抗压韧性。IDC将苹果iPhone全年出货量降幅预期由此前的8.1%收窄至5.2%,而安卓阵营手机出货量则可能面临高达20%的同比跌幅。IDC全球客户端设备副总裁Francisco Jeronimo表示:“苹果做到了竞争对手鲜少能做到的三件事:提前锁定内存供应,打造出足以吸引中国市场的产品组合,并将iPhone 17精准定位於成熟市场消费者延长换机周期、追求高端升级的需求窗口”。
折叠屏手机是少数保持增长的细分品类。IDC预计,2026年折叠屏手机出货量将同比增长20%,原因之一是苹果预计将在下半年推出首款折叠iPhone。
美光的战略性转向:从移动市场到数据中心
在智能手机市场深陷泥潭的同时,存储芯片巨头美光科技正在完成一场堪称决绝的战略转身。
2026年1月,TrendForce报道称美光正执行一项重大战略转型——果断退出利润率较低的移动市场,将绝大部分产能转向服务器和企业级SSD领域,以锁定数据中心对高性能存储的长期需求并扩大市场份额。这一转向并非渐进式调整,而是一次资源配置的全面重构:美光将资源全力聚焦至高毛利的AI数据中心产品,反映出其不愿在成熟市场进行价格消耗战,转而追求与AI算力架构的深度耦合。
这一战略转向的最新里程碑发生在2026年6月22日。美光科技正式宣布与人工智能企业Anthropic达成一项全面的战略合作协议。此次合作横跨四个维度:AI内存与存储架构的联合设计、覆盖美光全系列数据中心产品的长期供应协议、美光内部全面部署Anthropic的Claude大模型、以及美光对Anthropic最新H轮融资的战略投资。
在技术层面,双方将重点围绕HBM、DRAM及SSD等关键技术展开联合研发,深入分析内存和存储子系统在不同AI工作负载下的表现。在供应链层面,双方签署了覆盖美光全系列数据中心产品的长期内存和存储供应协议。在资本层面,美光参与了Anthropic估值高达9650亿美元的H轮融资。在应用层面,Claude已被广泛应用于美光的工程研发、生产制造及企业管理等场景。
美光科技执行副总裁兼首席商务官Sumit Sadana表示:“AI革命彻底重塑了内存与存储解决方案的行业定位,其重要性已从数据中心延伸至边缘应用”。
资本市场对这一战略合作给予了极为积极的回应。2026年6月23日,美光科技股价大涨6.8%,收报1211.38美元,市值达到1.37万亿美元,创下历史新高。美光股价今年以来累计飙涨超过300%。
分析人士指出,此次合作标志着AI产业链正从单纯的“买卖关系”走向“生态共建”。通过“技术协同+长期供货+资本投资”的三重绑定,美光不仅巩固了其在AI存储市场的核心地位,也向市场证明了其从“周期股”向“成长股”估值重塑的可能性。
投资视角:在行业变局中捕捉交易机会
The deep recession of the smartphone market and the structural differentiation of the memory chip industry provide investors with a clear framework for trading logic.
From the fundamentals, the average prices of DRAM and NAND are expected to peak around mid-2026. Analysts point out that price pressures will come from both supply and demand sides—supply increasing as capacity gradually releases, while demand faces continued weakness in consumer electronics. This suggests that the industry’s prosperity may be nearing a cyclical peak, and investors should closely monitor the arrival of price turning points.
Meanwhile, the long-term demand for AI infrastructure remains highly certain. The collaboration between Micron and Anthropic indicates that AI model companies are integrating memory vendors into their core supply chains, and this “ecosystem binding” is expected to smooth out the traditional cyclical fluctuations of the memory chip industry. For investors wishing to participate in this structural change, how to efficiently and cost-effectively allocate related assets becomes a key consideration.
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结语
The global smartphone market in 2026 is undergoing a structural reshaping driven by AI. Storage chip capacity is being massively squeezed by data centers, leading to a record 13.9% decline in shipments, with the industry’s average selling price soaring to a historic high of $550. In this upheaval, Micron has decisively shifted from the mobile market to data centers, completing a valuation reset from “cyclical stock” to “growth stock” through a deep strategic partnership with Anthropic.
For investors, this presents both challenges and opportunities. The price cycle inflection point in the memory chip industry is approaching, but the long-term demand for AI infrastructure remains solid. Gate’s platform offers real stock trading with USDT settlement, low thresholds of 0.01 shares, a trading fee as low as 0.023%, and 24/7 trading hours, providing an efficient, low-cost channel for global investors to participate in this industry restructuring. Amid the intertwined narratives of smartphone bottoming out and AI compute expansion, accurately grasping industry turning points and allocating high-quality assets will be key to navigating the cycle.