Trend of domestic AI going abroad

1. Overall overview of domestic AI going abroad

In 2026, domestic AI will enter an explosion period. The competitiveness of China AI companies in the global market will be greatly enhanced, and the proportion of overseas revenue will continue to grow, becoming a new business card for China's science and technology going abroad.

Core data highlights

The number of API calls for China's large model is 4.27 times that of the United States, and its application activity leads the world
93% of Kunlun Wanwei's revenue comes from overseas, making it a benchmark for the globalization of China AI companies

Scale of going to sea

Domestic AI overseas revenue: RMB 50 billion
Annual growth rate: 150%
Number of overseas companies: 300+
Countries and regions covered: 180+

2. Analysis of sea competitiveness

cost advantage

computing power cost

Cost of computing power in China: 1/2-1/3 of that in the United States
The electricity price advantage is obvious
Engineer labor cost advantages
Significant scale effect

service price

API price: International manufacturer 1/3-1/2
Enterprise services: outstanding cost performance
Customized development: obvious cost advantage
Support services: faster and more flexible response

technical capacity

Large model capabilities

Basic capabilities are tied to GPT-3.5
World leader in Chinese ability
Multilingual ability improves rapidly
Vertical field optimization is better

Engineering capabilities

Rich experience in high concurrency processing
Excellent service stability
Strong fast iteration ability
Customized development is efficient

application ecology

The number of API calls for large models in China reaches 4.27 times that of the United States:

The number of application developers ranks first in the world
Scene innovation speed leads the world
High application ecological prosperity
Fully verified business model

3. Cases of representing enterprises going to sea

Case 1: Kunlun Wanwei

Achievements at sea: 93% of revenue comes from overseas, the most successful China AI company in globalization

business layout

AI Model: Tiangong Model
AI browser: Opera users around the world
AI social networking: StarMaker
Game Business: Global Distribution

successful experience

Early layout of overseas markets
Strong localized operation capabilities
Product Matrix Collaboration
Overseas capital operations

Case 2: ByteDance

Achievements at sea: AI products have billions of users worldwide

core products

TikTok: The world's largest Short Video platform
Doubao: Globalization of AI assistants
CapCut: Video editing tool
Pika: AI video generation

successful experience

Global leader in algorithm recommendation
Strong product localization capabilities
Global operating system
data-driven decision-making

Case 3: Intelligent AI

Achievements in sailing: Overseas customers cover 50+ countries

sailing strategy

API services are open globally
Multilingual ability optimization
Overseas developer ecology
Enterprise customer customization

key markets

Southeast Asia, Middle East
Europe, Latin America
Enterprise service-oriented

Case 4: MiniMax

Overseas results: 40% of overseas users

product features

Outstanding multimodal capabilities
Leading video generation technology
developer friendly
Highly competitive price

4. Analysis of key overseas markets

Southeast Asian market

market characteristics

Large population base: 650 million
fast economic growth
similar culture
High acceptance by China companies

areas of opportunity

E-commerce AI tools
content authoring tools
Customer Service and Marketing
education technology

competition pattern

China companies have obvious advantages
Key to localized operations
High price sensitivity

Middle East Market

market characteristics

strong purchasing power
High willingness to digitize
Policy support AI
Weak local capabilities

areas of opportunity

government digitalization
financial technology
content generation
smart city

cooperation model

joint venture
technology licensing
joint operation
custom development

European market

market characteristics

Strong payment ability
High compliance requirements
Strict data privacy
Native protectionism

areas of opportunity

Enterprise Service
Vertical Industry Solutions
developer tools
multi-language support

critical success factors

GDPR compliance
data localization
local partners
brand building

Latin American market

market characteristics

young population
Developed mobile Internet
Great growth potential
price-sensitive

areas of opportunity

Social entertainment AI
e-commerce tools
education technology
financial technology

North American market

market characteristics

The most cutting-edge technology
most competitive
The strongest payment ability
High regulatory risks

areas of opportunity

developer tools
vertical segmentation field
cost-effective route
differentiated innovation

5. Types of products going abroad

Big Model API Services

advantages

price advantage is obvious
multi-language support
High concurrency and stability
developer friendly

customers

overseas developers
SMEs
startups
system integrators

AI native applications

content creation

AI writing, painting, video
Marketing content generation
design tools
multilingual content

efficiency tools

AI Office Assistant
Programming assistant
learning tools
productivity tools

social entertainment

AI chatbot
Virtual companionship
game AI
content recommendation

industry solutions

e-commerce Retail

intelligent customer service
Product description generation
marketing content
personalized recommendation

financial technology

intelligent risk control
anti-fraud
customer service
investment research analysis

education technology

Intelligent Tutoring
content generation
language learning
evaluation system

Technical authorization and cooperation

mode

Model authorization
technology output
joint development
local deployment

customers

large enterprises
government agencies
operators
Local technology companies

6. Challenges and responses to going to sea

compliance risk

data compliance

GDPR, CCPA, etc
cross-border data transmission
data localization requirements
Privacy Protection

coping strategies

Local data center deployment
Compliance team building
Third-party audit certification
Legal Advisor Support

geopolitical risks

challenges

export control
Investment Review
technical blockade
national security review

deal with

market diversification
localization team
Compliance and transparency
risk dispersion

Localization challenges

language and culture

Small language support
cultural adaptation
localized content
User habits understand

Localization of operations

Local team recruitment
local partners
local payment methods
Localization of customer service

brand recognition

challenges

Awareness of China's technology brands
trust establishment
High-end market breakthroughs
word of mouth

deal with

high-quality products
customer success stories
Developer Community Operations
Brand marketing investment

7. Key factors for success

1. Product power is the foundation

Technology reaches international level
The experience is not inferior to international competitors
Stability and reliability guarantee
Continuous iterative optimization

2. Localization is the key

Deep adaptation of language and culture
Local team operations
Integration of local resources
Improved compliance system

3. Differentiation is a breakthrough

Avoid frontal competition
Looking for market segments
Give full play to China's advantages
innovative business models

4. Ecology is a long-term barrier

Developer Ecological Construction
partner ecosystem
platformization strategy
Network effect construction

8. Future Outlook

trend judgment

Accelerate going to sea: More China AI companies are going global
Market differentiation: Emerging markets breakthrough, developed markets advance steadily
Model upgrade: from product output to ecological output
Brand improvement: Global recognition of China's AI brands has increased

opportunities and challenges

Opportunities: 4.27 times the number of API calls proves China's application innovation capabilities, and 93% of overseas revenue confirms commercial feasibility
Challenges: Compliance, geopolitics, localization

Outlook

Domestic AI is in a golden period of development, and China AI companies are globally competitive in terms of technology, cost, and application innovation. The number of API calls is 4.27 times that of the United States and 93% of Kunlun Wanwei's overseas revenue. These data fully prove the global potential of China's AI. In the next five years, a group of China AI companies will become global technology giants and occupy an important position in the global AI industry.

What makes China's AI globalization story particularly fascinating in 2026 is not just the scale of expansion but the diversity of strategies being employed. Unlike the earlier wave of Chinese tech going abroad, which was largely dominated by a few giant players, this new generation includes hundreds of smaller, specialized AI companies finding niches in markets ranging from Brazilian e-commerce AI to Middle East government digitization to Southeast Asian education technology. The common thread among the most successful ones is not that they are the cheapest option — many compete on quality, speed of iteration, and deep understanding of local market needs. The next decade will likely see Chinese AI companies become as ubiquitous in global tech infrastructure as American ones are today, and the 4.27x API call ratio suggests that momentum is already firmly on their side. A pattern worth noting is the increasing role of developer communities and open-source strategies in Chinese AI companies' global expansion. By open-sourcing models, releasing developer tools, and building active communities of international users, companies like DeepSeek and MiniMax have created a grassroots adoption pipeline that bypasses traditional enterprise sales cycles. This bottom-up approach not only builds brand loyalty and trust but also generates real-world usage data that helps improve the products — creating a virtuous cycle that accelerates global reach far more efficiently than marketing budgets alone ever could. Looking at the competitive landscape in more detail, one factor that consistently separates the winners from the also-rans is the quality of their localization efforts. The companies that treat localization as a first-class product requirement — hiring native speakers, adapting their user interfaces to local design conventions, integrating with local payment methods and regulatory systems — consistently outperform those that simply translate their existing product and hope for the best. This observation holds true across every market from Southeast Asia to Europe, and it suggests that the real barrier to Chinese AI's global expansion is not technology or price but cultural fluency and operational sophistication in unfamiliar markets.

The next phase of Chinese AI global expansion will likely be defined less by price competition than by the sophistication of localization strategies and depth of regulatory understanding.

Localization quality is the make or break factor for Chinese AI companies expanding internationally. Machine translation alone is insufficient because cultural adaptation requires understanding local regulations, payment preferences, design conventions, and communication styles. Successful global AI products invest in native speaking product managers for each target market rather than relying on translators alone. They also localize the user experience itself. Western users expect minimalist interfaces with generous white space, while some Asian markets prefer information dense layouts. The companies that get this right by carefully adapting onboarding flows, pricing pages, and customer support channels consistently outperform competitors who simply translated their Chinese app into English. The meta insight is that global expansion quality is itself an AI product problem. The sophistication of your localization layer determines whether your global audience experiences your product as thoughtful or careless. Investing in cultural fluency is not optional for any AI company with global ambitions.