ÌÇÐÄÆƽâ°æ

The Live Commerce market in Asia is witnessing remarkable growth, fueled by the surge in online shopping, enhanced consumer engagement through interactive platforms, and the increasing demand for real-time product demonstrations, which elevate the shopping experience.

Customer preferences: Consumers in Asia are increasingly gravitating towards live commerce as a preferred shopping method, driven by a desire for authentic, real-time interactions with brands. This trend is particularly pronounced among younger demographics, who value the immersive experience of live streaming and influencer endorsements. Additionally, cultural nuances, such as the importance of community and social validation in purchasing decisions, are shaping preferences. As lifestyles evolve, consumers are also seeking convenience and instant gratification, making live commerce a compelling choice for engaging and interactive shopping experiences.

Trends in the market: In Asia, the Live Commerce market is experiencing rapid growth, with brands increasingly leveraging live streaming to connect with consumers in real-time. This trend is particularly strong among Gen Z and Millennials, who favor interactive shopping experiences that blend entertainment with purchasing. Influencer partnerships are becoming essential, as consumers seek relatable endorsements. Additionally, the rise of mobile commerce is facilitating seamless transactions during live events. As brands adapt to these shifts, industry stakeholders must prioritize authentic engagement and community-building to remain competitive in this evolving landscape.

Local special circumstances: In China, the Live Commerce market is fueled by a massive digital ecosystem and a tech-savvy population, with platforms like Taobao Live leading the way. The cultural emphasis on social proof and community drives consumers to engage with influencers during live events. In India, the market is shaped by diverse regional languages and a burgeoning smartphone user base, encouraging localized content and interactive shopping experiences. Japan's unique blend of tradition and innovation fosters a preference for high-quality, curated live streams, while South Korea's fast-paced consumer culture emphasizes trend-driven shopping, making influencer collaborations crucial for brand visibility.

Underlying macroeconomic factors: The Live Commerce market in Asia is significantly influenced by macroeconomic factors such as digital infrastructure development, consumer spending trends, and regulatory frameworks. In China, robust internet penetration and e-commerce growth drive live commerce adoption, while government support for digital innovation enhances market dynamics. India's expanding middle class and rising disposable incomes foster a vibrant online shopping culture, encouraging localized live commerce initiatives. In Japan, economic stability and consumer preference for quality impact live streaming strategies, while South Korea's agile market responds to global trends, emphasizing influencer partnerships to capture consumer interest. Overall, these factors collectively shape the trajectory of the Live Commerce market across Asia.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the ÌÇÐÄÆƽâ°æ Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.