日本超半数消费者因AI推荐下单 生成式AI渗透用户购买决策

This article summarizes key findings from a new survey by Japanese digital marketing service provider PLAN-B on how generative AI is reshaping consumer decision-making, as follows:

1. Generative AI has already achieved relatively high penetration among Japanese consumers: 26.8% of users are frequent users who access generative AI at least several times a week, up 9.7 percentage points from last year, and the user base continues to expand. More than half (54.1%) of respondents start their purchase journeys with generative AI conversations, meaning AI recommendations have become a major influence on purchase decisions.

2. The product categories most driven by AI-assisted purchases are clear: Digital electronics and accessories rank first at 40.9%, followed by apparel (36%), food and beverage (34.9%), and beauty and skincare (30.7%). Even for financial products that require complex comparison, more than 20% of users now complete their decision-making via AI.

3. A common workflow for AI-assisted product selection has emerged: Users first generate candidate options via AI, then verify information multiple times across search engines, e-commerce platforms and social media. Only 2.7% of users make purchases without additional verification. Following this workflow reduces the risk of errors from AI recommendations.

This survey outlines the latest consumer trends shaped by generative AI penetration for brands targeting the Japanese market, offering high-value insights for marketing strategy, summarized below:

1. Broad consumer trends have shifted definitively: More than half of Japanese consumers now start their purchase journeys with generative AI conversations. The share of frequent AI users has risen 9.7 percentage points year-over-year, and the user base is expanding rapidly. Brands need to prioritize early布局 in AI-focused marketing channels.

2. Clear user behavior patterns mean aligned strategy drives higher conversion: Japanese consumers have now settled on a fixed "AI-generated candidates → cross-platform verification" decision-making model. 87.4% of users verify AI recommendations via search engines, and more than 30% confirm information on e-commerce and social platforms. Brands must not only optimize for AI recommendation algorithms, but also lay consistent information groundwork across all channels.

3. Incremental growth opportunities exist across categories: AI-driven purchasing accounts for more than 30% of purchases in mass categories including digital electronics, apparel, food and beverage, and beauty, and penetration exceeds 20% even for the complex financial category. Brands can adjust their AI marketing investment allocation based on their product category.

This survey outlines new market opportunities and changing user behavior brought by generative AI for sellers targeting the Japanese market, with key takeaways below:

1. Clear market opportunity: AI-driven purchasing already reaches more than half of Japanese consumers, and the share of frequent AI users grows nearly 10 percentage points annually. The AI-guided shopping sector is still in a growth phase, so sellers can build out AI-optimized content early to capture incremental demand.

2. User decision logic has fundamentally changed: The modern user journey is now "AI uncovers demand and generates candidates → cross-platform verification → final purchase". 87.4% of users verify AI recommendations via Google search, more than 30% confirm on e-commerce and social platforms, and only 2.7% make purchases without verification. Sellers must build out content across search engines, major e-commerce platforms and social platforms to capture traffic driven by AI recommendations.

3. Clear category-specific opportunities: AI-driven purchasing accounts for more than 30% of purchases in mass categories including digital electronics, apparel, and food and beverage, and penetration exceeds 20% even for comparison-heavy financial products. Sellers across all segments can identify relevant opportunities and adjust their strategy based on their category.

This survey provides insights into shifting demand and transformation guidance for factories exporting to the Japanese market amid generative AI's impact on consumer behavior, with key takeaways below:

1. Product design and development demands have shifted: Japanese consumers now rely on generative AI to sort out vague, unarticulated needs, starting AI conversations from unstated pain points to narrow down product options. Factories can leverage AI-uncovered implicit user pain points to adjust product design and production directions to match real consumer demand.

2. Clear commercial opportunities: The categories with the highest volume of AI-driven purchasing are digital electronics and accessories, apparel, food and beverage, beauty and skincare, and home appliances. Factories exporting these categories to Japan stand to gain greater incremental market opportunities, and can proactively connect with sales channels optimized for AI marketing.

3. Clear direction for digital transformation: As generative AI has deeply penetrated consumer decision-making, factories looking to advance digital and e-commerce transformation can integrate AI tools to sort out user demand, support product R&D, uncover implicit needs, improve R&D efficiency, and better adapt to market changes.

This survey outlines the latest development trends in Japan's generative AI marketing sector, identifies core industry pain points, and offers directional guidance for relevant service providers, with key takeaways below:

1. Clear industry growth trajectory: Generative AI now deeply intervenes in Japanese consumers' purchase decisions, with more than half of all purchase journeys starting from AI conversations. The share of frequent AI users grows 9.7 percentage points annually, the user base continues expanding, market demand for AI marketing services is growing rapidly, and the sector still has substantial room for expansion.

2. Clear core client pain points: Users follow a decision path of generating AI candidates then cross-platform verification, so brands and merchants that only focus on AI channels cannot achieve stable conversion or effectively capture AI-driven traffic. Additionally, since most users start AI conversations from vague pain points, brands often struggle to align with the demand discovery logic of these AI conversations.

3. Clear direction for solution development: Service providers can develop brand-focused content creation services optimized for generative AI recommendation logic, paired with integrated marketing solutions that build out content across multiple platforms to match user verification habits and solve brands' conversion challenges.

This survey outlines new market demands for platforms after generative AI's penetration into consumer decision-making, offering guidance for operational adjustments for internet platforms targeting the Japanese market, with key takeaways below:

1. Shifting user behavior has created new platform demands: Currently 87.4% of users verify AI recommendations via search engines, and more than 30% confirm AI-recommended products on e-commerce and social platforms. These platforms have become core landing points for AI-driven decision conversion, so platforms need to build up robust product and brand content archives to let users easily retrieve and verify AI-recommended information.

2. Clear direction for operational adjustment: Search engines, e-commerce platforms and social platforms can all optimize information retrieval experiences for content linked to generative AI recommendations, to better capture AI-driven traffic and improve user retention and conversion.

3. Clear incremental and merchant recruitment opportunities: The core categories driven by AI purchasing are digital electronics, apparel, food and beverage, and beauty. Platforms can launch AI marketing-friendly merchant support and recruitment policies targeted at these categories to attract relevant merchants, capture the incremental market brought by AI, and mitigate the risk of traffic diversion.

This survey, conducted by Japanese digital marketing service provider PLAN-B, outlines new industry trends in Japan's retail marketing sector after generative AI's penetration into consumer markets, and summarizes an emerging consumer decision model, offering high reference value for relevant research, with key takeaways below:

1. Clear new industry trends: Generative AI has evolved from a tool to a core entry point influencing purchase decisions. More than half of Japanese consumers now start their purchase journeys with generative AI conversations, the share of frequent users is up 9.7 percentage points year-over-year, user penetration is still advancing rapidly, and generative AI's restructuring of the retail value chain remains ongoing.

2. A new user decision model has emerged: The Japanese market has now formed a new, iterative multi-layer confirmation decision model: "generative AI uncovers vague demand and outputs candidate options → users cross-verify and discuss information across search engines, e-commerce platforms and social media → final decision-making". This is a completely new user behavior pattern that differs from the traditional active search purchase journey.

3. It identifies new questions worthy of in-depth research: Users still lack full trust in AI recommendations, and the vast majority require multi-source verification. How to integrate the AI recommendation link with the subsequent verification and conversion journey is an unsolved new problem for the industry that deserves further research.