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AI重塑全球化 中国企业出海新机遇

霞光智库 2026-06-10 14:06
霞光智库 2026/06/10 14:06

邦小白快读

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本文核心讲全球生成式AI已经进入商业化落地阶段,AI重塑全球化给中国企业带来了全新的出海机遇,核心重点干货如下:

1. 行业整体增长明确:2025年第二季度至2026年第一季度,生成式AI赛道同比增速达232%,收入增量超44亿美元,已经进入主流市场规模化付费阶段,是当前全球非游应用市场的增长引擎。

2. 市场与竞争格局清晰:全球市场呈现美亚双极格局,美国领跑,日韩等亚太是新增量阵地;通用AI助手头部壁垒极高,AI陪伴、AI Agent、AI图像视频生成等赛道仍有充足增长空间。

3. 用户与产业变化:AI用户已经转为18-44岁职场主力,需求从功能延伸到情绪价值,中国AI技术和全球顶尖水平的差距已经缩小到2.7%,已有多家企业探索出成熟的出海路径。

本文梳理了全球AI出海的行业格局与消费趋势,能给布局出海的AI品牌商提供多方面参考,核心干货如下:

1. 消费趋势与用户变化:AI用户已经从极客群体转为18-44岁职场主力,需求从基础功能延伸到情绪价值,AI陪伴赛道2026年第一季度收入较2023年同期增长超12倍,情感需求已经转化为稳定付费,形成了可持续商业闭环。

2. 市场布局方向:全球呈现美亚双极格局,美国成熟市场适合验证品牌技术实力,日韩等亚太市场文化相近,适合发挥场景创新优势,是重点突破的增量阵地。

3. 产品研发与竞争参考:通用AI助手赛道头部壁垒极高,新品牌进入难度大,AI陪伴、AI Agent等垂类赛道格局未定,还有充足增长空间;可参考头部企业的路径,以技术为核心,本地化运营为支撑,打造系统性竞争壁垒。

本文分析了AI出海的市场变化,给计划布局AI出海的卖家梳理了明确的机会、风险与可参考方向,核心内容如下:

1. 整体市场机会:当前全球生成式AI已经进入规模化付费阶段,赛道整体增速高达232%,是当之无愧的增长赛道;市场呈现美亚双极格局,美国市场成熟度高,日韩等亚太市场增长强劲,是新卖家可以重点布局的增量阵地。

2. 赛道选择机会与风险:通用AI助手赛道已经形成头部垄断,ChatGPT构建了极高的生态壁垒,新进入者门槛极高,不建议中小卖家切入;AI陪伴、AI Agent、AI图像视频生成等高价值赛道仍处于发展期,竞争格局未固化,给新卖家预留了广阔增长空间。

3. 需求变化提示:当前AI用户以职场主力为主,除功能需求外,情绪付费意愿极强,已经形成稳定商业闭环,卖家可侧重挖掘这类需求,同时可依托中国AI技术性价比高、场景落地能力强的优势打造竞争力。

本文分析了AI全球化发展背景下,中国制造工厂出海的新机会与转型启示,核心干货如下:

1. 产品与需求方向:全球AI应用已经普及,AI+硬件是明确的出海新方向,用户需求从基础功能升级为智能化、场景化体验,科沃斯从扫地机器人拓展到全场景服务机器人就是典型的成功范例,值得制造工厂参考。

2. 商业升级机会:当前全球AI赛道整体高速增长,亚太等新兴市场增量空间大,中国AI硬件出海已经从单一产品出口升级为品牌、渠道、服务一体化的能力输出,有实力的工厂可以从代加工转向打造自有AI品牌出海,获取更高利润。

3. 数字化转型启示:当前中国AI技术已经步入全球第一梯队,中国开源模型接入门槛低、性价比高,工厂可以借助本土AI技术升级产品,提升产品智能化水平,打造差异化竞争力,依托中国AI的整体优势拓展海外市场。

本文梳理了AI出海行业的发展趋势与市场需求,能给AI出海相关服务商提供明确的方向参考,核心内容如下:

1. 行业发展趋势明确:当前全球生成式AI已经从概念验证进入主流市场规模化付费阶段,赛道整体同比增速高达232%,增长空间极大;中国AI企业技术实力快速提升,出海已经从早期的模式输出转向技术标准与生态渗透,越来越多中国AI企业走向全球,给服务商带来了大量配套需求。

2. 市场核心痛点清晰:不同类型出海企业有不同的需求,中小AI出海企业需要低成本、易接入的技术支持,所有出海企业都需要本地化运营、市场落地、渠道搭建的配套服务,AI硬件企业还需要品牌出海相关的配套服务,痛点明确。

3. 业务机会方向:服务商可以围绕中国AI出海的核心优势,针对不同类型企业的需求,提供技术赋能、本地化运营、全球渠道搭建、品牌服务等配套服务,分享AI出海浪潮的行业增长红利。

本文分析了AI出海浪潮中市场对平台的需求,以及头部平台的成熟做法,可供AI相关平台参考,核心干货如下:

1. 市场需求清晰:当前AI出海赛道增长快,大量中小玩家涌入,中小玩家多布局在垂类赛道,对低成本开源技术接入、流量支持、商业化配套服务有强烈需求,平台可以围绕这些需求构建自身服务体系。

2. 头部平台的可借鉴经验:头部平台企业字节跳动走平台化、矩阵式的生态出海路线,推出多品类AI产品,依靠领先的技术能力快速获得全球市场关注,这种生态化布局的路径值得平台参考。

3. 运营布局与风险规避:当前全球市场呈现美亚双极格局,平台布局可以区分不同市场定位,在成熟美国市场验证技术实力,在亚太增量市场发挥场景创新优势;同时要避开通用AI助手赛道的高度竞争,重点布局格局未定的垂类高价值赛道,降低竞争风险。

本文梳理了AI重塑全球化背景下中国AI出海的最新产业动向与商业模式,可供产业研究者参考,核心内容如下:

1. 产业最新动向:当前全球生成式AI已经完成从技术突破到规模化商业变现的跨越,进入主流消费市场的付费阶段,整体增速惊人;市场呈现美亚双极的分化格局,赛道沿着通用工具与垂类应用加速分化;中国AI技术和全球领先水平的差距已经缩小到2.7%,全球顶级模型评测前十中国占四席,中国AI出海已经从早期模式输出演进为技术标准与生态渗透,进入新的发展阶段。

2. 成熟出海商业模式:当前已经演化出三种典型的可行商业模式,分别是字节跳动的平台化矩阵式生态出海、昆仑万维的从基座模型到垂直应用的全产业链深耕出海、科沃斯代表的AI硬件品牌渠道服务一体化出海。

3. 新产业特征:新一代中国AI出海不再依赖传统的价格或渠道优势,转为以技术能力为核心竞争力,中国开源模型正在全球范围建立技术影响力,这是区别于上一代出海的新特征。

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Quick Summary

This article focuses on the fact that generative AI worldwide has entered the stage of commercialization, and AI-driven reshaping of globalization has brought brand-new cross-border expansion opportunities for Chinese enterprises. Key takeaways are as follows:

1. Clear overall industry growth: From Q2 2025 to Q1 2026, the generative AI sector will achieve a 232% year-on-year growth, with incremental revenue exceeding $4.4 billion. It has entered the stage of large-scale paid adoption in the mainstream market, and serves as the current growth engine for the global non-gaming app market.

2. Clear market and competitive landscape: The global market features a bipolar structure led by the U.S. and Asia-Pacific. The U.S. holds the leading position, while Asia-Pacific markets including Japan and South Korea are emerging sources of incremental growth. Head players in general AI assistants have built extremely high entry barriers, leaving sufficient room for growth in tracks such as AI companionship, AI Agents, and AI image and video generation.

3. Changes in users and industries: AI users are now dominated by working professionals aged 18 to 44, and user demand has expanded from functional utility to emotional value. The gap between China's AI technology and the global cutting-edge level has narrowed to 2.7%, and multiple Chinese companies have already developed mature cross-border expansion paths.

This article sorts out the industry landscape and consumer trends of Chinese AI companies' global expansion, providing multi-dimensional references for AI brands planning to go overseas. Key insights are as follows:

1. Consumer trends and user changes: AI users have shifted from early tech enthusiasts to working professionals aged 18 to 44, with demand expanding from basic functions to emotional value. By Q1 2026, the revenue of the AI companionship track will grow more than 12-fold year-on-year compared to 2023, as emotional demand has translated into stable paid adoption and formed a sustainable business closed loop.

2. Guidance for global market layout: The global market features a bipolar structure of the U.S. and Asia-Pacific. The mature U.S. market is suitable for verifying a brand's technical strength, while culturally similar Asia-Pacific markets like Japan and South Korea allow brands to leverage their strengths in scenario-based innovation, making them key incremental markets for breakthrough expansion.

3. References for product R&D and competition: The general AI assistant track has extremely high entry barriers, making it very difficult for new brands to enter. Vertical tracks including AI companionship and AI Agents still have an unsettled competitive landscape and sufficient growth space. New brands can learn from the paths of leading players: building systematic competitive barriers with technology as the core and localized operations as support.

This article analyzes the market shifts in AI global expansion, clarifies opportunities, risks and actionable directions for sellers planning to enter the AI cross-border business. Key takeaways are as follows:

1. Overall market opportunities: Global generative AI has now entered the stage of large-scale paid adoption, with the whole sector growing at 232%, making it one of the most promising high-growth industries. The market follows a bipolar U.S.-Asia-Pacific structure: the U.S. market is highly mature, while Asia-Pacific markets including Japan and South Korea are growing strongly, and are key incremental markets for new sellers to focus on.

2. Track selection: opportunities and risks: The general AI assistant track has been monopolized by top players, with ChatGPT building extremely high ecological barriers and very high entry thresholds, so it is not recommended for small and medium-sized sellers. High-value tracks including AI companionship, AI Agents, and AI image and video generation are still in the development stage with unfixed competitive landscapes, leaving broad growth space for new entrants.

3. Notes on changing demand: AI users are now dominated by working professionals, and they have a very high willingness to pay for emotional value beyond basic functions, which has already formed a stable business closed loop. Sellers can prioritize tapping into this demand, and build competitiveness by leveraging China's AI advantages: cost-effectiveness and strong scenario-based implementation capabilities.

This article analyzes new cross-border opportunities and transformation insights for Chinese manufacturing factories against the background of AI globalization. Key takeaways are as follows:

1. Product and demand direction: AI applications are now popularized globally, and "AI + hardware" is a clear new direction for cross-border expansion. User demand has upgraded from basic functions to intelligent, scenario-based experiences. Ecovacs' expansion from robotic vacuum cleaners to full-scenario service robots is a typical successful case worth learning from for manufacturing factories.

2. Business upgrading opportunities: The global AI sector is growing at a high speed overall, and emerging markets in Asia-Pacific have large incremental space. China's AI hardware cross-border expansion has upgraded from single-product export to integrated capability output covering brand, channels and services. Capable factories can transform from OEM/ODM to building their own AI brands for the global market to capture higher profit margins.

3. Insights for digital transformation: China's AI technology is now among the world's first tier. China's open-source models have low access thresholds and high cost-effectiveness. Factories can leverage domestic AI technology to upgrade their products, improve product intelligence, build differentiated competitiveness, and expand global markets based on the overall advantages of China's AI industry.

This article sorts out the development trends and market demand of the AI cross-border industry, providing clear directional references for service providers related to AI global expansion. Key insights are as follows:

1. Clear industry development trends: Global generative AI has moved from proof of concept to large-scale paid adoption in the mainstream market, with the whole sector posting a 232% year-on-year growth and huge room for expansion. Chinese AI enterprises have improved their technical strength rapidly, and their global expansion has shifted from early business model output to technology standard and ecological penetration. A growing number of Chinese AI companies are going global, bringing a large amount of supporting service demand for service providers.

2. Clear core market pain points: Different types of cross-border AI enterprises have different needs: small and medium-sized AI enterprises require low-cost, easy-access technical support; all cross-border enterprises need supporting services for localized operation, market entry, and channel construction; AI hardware enterprises also need supporting services related to brand global expansion. All these pain points are well-defined.

3. Business opportunity directions: Service providers can focus on the core advantages of Chinese AI cross-border expansion, target the needs of different types of enterprises, provide supporting services including technical empowerment, localized operation, global channel construction and brand services, and share the growth dividend of the AI cross-border boom.

This article analyzes market demand for platforms and the mature practices of leading platforms amid the AI cross-border boom, providing references for AI-related platforms. Key insights are as follows:

1. Clear market demand: The AI cross-border track is growing rapidly, attracting a large number of small and medium-sized players. Most of these players focus on vertical tracks, and have strong demand for low-cost open-source technology access, traffic support and commercial supporting services. Platforms can build their service systems around these demands.

2. Learnable experience from leading platforms: Leading platform ByteDance has adopted a platform-based, matrix-style ecological expansion strategy, launching a wide range of AI products and quickly gaining global market attention with its leading technical capabilities. This ecological layout path is a valuable reference for other platforms.

3. Operational layout and risk mitigation: The global market features a bipolar U.S.-Asia-Pacific structure. Platforms can adopt differentiated positioning across markets: verifying technical strength in the mature U.S. market, and leveraging scenario-based innovation advantages in the incremental Asia-Pacific market. Meanwhile, platforms should avoid the fierce competition in the general AI assistant track, prioritize high-value vertical tracks with unsettled competitive landscapes to reduce competitive risks.

This article sorts out the latest industry trends and business models of Chinese AI global expansion amid AI-driven reshaping of globalization, providing references for industry researchers. Key findings are as follows:

1. Latest industry trends: Global generative AI has completed the transition from technological breakthrough to large-scale commercial monetization, entering the paid adoption stage in the mainstream consumer market with astonishing overall growth. The market presents a bipolar differentiated structure led by the U.S. and Asia-Pacific, and the industry is accelerating its split into general tools and vertical applications. The gap between China's AI technology and the global leading level has narrowed to 2.7%, and Chinese models hold four of the top 10 spots in global leading model evaluations. China's AI cross-border expansion has evolved from early business model output to technology standard and ecological penetration, entering a new development stage.

2. Mature cross-border business models: Three typical and viable business models have emerged: ByteDance's platform-based matrix ecological expansion strategy; Kunlun Tech's full-industry-chain deep cultivation path from base models to vertical applications; and the integrated "AI hardware brand + channel + service" expansion strategy represented by Ecovacs.

3. New industry characteristics: The new generation of Chinese AI global expansion no longer relies on traditional price or channel advantages, and has shifted to taking technical capability as the core competitiveness. China's open-source models are building global technological influence, which is a key new feature that distinguishes this generation of cross-border expansion from the previous one.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

全球生成式AI正经历从技术突破向商业变现的关键跨越。

据SensorTower数据显示,2025年第二季度至2026年第一季度,生成式AI赛道以232%的同比增速、超44亿美元的收入增量,成为非游应用市场中无可争议的增长引擎。这不仅反映了用户对AI应用接受度的快速提升,更标志着AI已从早期概念验证进入主流消费市场的规模化付费阶段。

在这一全球增长浪潮中,区域市场呈现出显著的分化特征。美国市场以近38%的份额、近22亿美元的内购收入断层领跑全球,其成熟的应用生态和高付费用户构成了短期难以复制的先发优势。日本、韩国等亚太市场虽然体量较小,但增长强劲,也正成为中国AI出海亟需重点突破的增量阵地。

这种“美亚双极”格局意味着,中国企业既需要在成熟市场验证技术实力,也需在亚太市场发挥文化相近性与场景创新优势。

进一步观察AI应用市场的竞争格局可以发现,通用工具与垂类应用正沿着不同路径加速分化。在AI智能助手领域,ChatGPT凭借技术领先优势、用户规模和生态壁垒形成了显著的头部效应,新进入者将面临极高的市场门槛。而AI陪伴、AIAgent、AI图像视频生成等高价值赛道仍处于快速发展期,竞争格局尚未固化,大量中小玩家并存,也为新进入者预留了广阔的增长空间。

与此同时,AI用户画像正从“极客工具”转变为“职场标配”。调研显示,82%的AI用户集中在18至44岁的职场主力人群,AI已覆盖内容创作、办公效率、社交陪伴等多场景应用,成为日常工作中不可或缺的基础设施。这一用户结构的变化,直接推动了AI应用从功能属性向情绪价值延伸。

以AI社交陪伴赛道为例,2026年第一季度全球收入已达1.5亿美元,较2023年同期增长超12倍,用户付费增长远超用户规模增长,由此表明情感需求正转为付费行为,AI陪伴产品已形成可持续的商业闭环。

从技术能力层面来看,中国AI企业正加速缩小与全球领先水平的差距。研究表明,中美顶级AI模型性能差距已从17.5%大幅收窄至2.7%,2026年全球顶级模型评测前十名中,中国企业占据四席,分别来自阿里巴巴、字节跳动、DeepSeek及清华大学。与此同时,以DeepSeek、GLM、MiniMax、Kimi、Qwen为代表的中国开源模型正在全球范围内建立技术影响力,全线开源策略有效降低了海外开发者的接入门槛,加速了中国AI技术的全球化渗透。

技术能力的快速追赶,在应用层面也得到了充分验证。数据显示,中国日均Token调用量从2024年初的千亿级跃升至2026年3月的140万亿级,两年间增长超过1000倍。这一指数级增长不仅反映了国产AI应用的快速渗透,更意味着中国AI模型在实际场景中的训练与迭代能力已步入全球第一梯队。

上述技术与规模优势的积累,也转化为海外市场对中国AI的真实需求——技术性价比、开源生态的可及性、场景落地能力以及全球化部署经验。这四大原因共同构成了海外用户采纳中国AI解决方案的核心动力。

在平台型玩家中,字节跳动是当前出海产品线最丰富的中国AI企业之一。2026年2月,字节跳动推出新一代AI视频生成模型Secdance2.0,支持多模态输入、原声音画同步、多镜头长叙事等能力,仅需一句提示词即可生成电影级视频,迅速引发全球市场关注。字节跳动的布局路径表明,中国AI大厂并非单一产品出海,而是平台化、矩阵式的生态出海。

与平台型企业的矩阵式布局不同,昆仑万维选择了从基座模型到垂直应用的全产业链深耕。自2010年启动出海业务以来,昆仑万维已覆盖全球100多个国家,明确“AllinAGI与AIGC”核心战略。2026年第一季度,公司营收达25.7亿元,同比增长45.69%,其中海外业务收入占比高达97%,同比增长49.29%。从算力基础设施到大模型算法,再到各类泛娱乐应用产品,昆仑万维完成了全产业链布局,其高海外收入占比也验证了AI出海从“补充业务”升级为“核心增长引擎”的可行性。

在硬件与具身智能领域,科沃斯代表了另一条出海路径。从扫地机器人起步,科沃斯正加速迈向全场景服务机器人赛道。在渠道层面,科沃斯以海外直营为主,先后在德国、美国建立销售子公司,通过线下直营门店、分销商及大型商超专柜等多渠道布局;子品牌添可在中东、亚太地区同时拓展经销商与代理商网络。这一案例表明,中国AI硬件的出海已从单一产品出口升级为品牌、渠道、服务一体化的系统能力输出。

综合来看,中国AI出海正经历从“模式输出”向“技术标准与生态渗透”演进。无论是字节跳动的平台化矩阵、昆仑万维的全产业链布局,还是科沃斯的硬件品牌升级,其共性在于:不再依赖单一的价格或渠道优势,而是以技术能力为核心、以本地化运营为支撑、以垂直场景为突破口,在全球范围内构建系统性的竞争壁垒。

注:文/霞光智库,文章来源:霞光智库,本文为作者独立观点,不代表亿邦动力立场。

文章来源:霞光智库

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