According to PayNXT360, the ecommerce market in Asia Pacific is expected to grow by 7.0% annually, reaching US$3,839.3 billion by 2025. The ecommerce market in the region has experienced robust growt...
According to PayNXT360, the ecommerce market in Asia Pacific is expected to grow by 7.0% annually, reaching US$3,839.3 billion by 2025. The ecommerce market in the region has experienced robust growth during 2020-2024, achieving a CAGR of 9.7%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 5.9% from 2025 to 2029. By the end of 2029, the ecommerce market is projected to expand from its 2024 value of US$3,589.1 billion to approximately US$4,830.7 billion. Key Trends and Drivers 1. Real-time payment rails reshape ecommerce checkout in India and Southeast Asia. • In India, most online purchases now clear through account-to-account rails rather than cards or cash-on-delivery. Digital payments accounted for 99.8% of all transaction volume in H1 2025, and UPI alone handled about 85% of digital payments by volume, processing around 20 billion payments a month. Indonesia is moving in a similar direction via QRIS: digital payments there reached 34.5 billion transactions in 2024 (+36% YoY), with QRIS transactions surging by more than 175% and over 50 million users and 30+ million merchants on the system. • Thailand’s PromptPay links banks and wallets and has almost 80 million registered users; real-time transfers account for roughly mid-40% of ecommerce transaction value according to recent industry analysis. • Governments and regulators have prioritised low-cost, interoperable payment infrastructure (UPI in India, QRIS in Indonesia, PromptPay in Thailand) as part of financial inclusion and digital economy strategies. Ecommerce and food-delivery platforms in these markets have deeply embedded UPI, QRIS and PromptPay at checkout, nudging both consumers and small merchants away from cash and expensive card rails. • Broader retail digitisation, utility payments, P2P transfers, and government transfers using these rails mean consumers are already accustomed to using the same payment apps when they shop online, lowering friction compared to cash-on-delivery. • Cash-on-delivery will continue to decline across India, Indonesia and Thailand as real-time payments become the default for small-ticket ecommerce and quick-commerce orders. This will reduce working capital and fraud costs for platforms but further compress card economics. As these rails expand cross-border (e.g., India lobbying to use UPI in more markets and linking with other instant payment systems), cross-border ecommerce from these countries will benefit from cheaper, instant settlement options. • In the next 2–4 years, the trend is likely to intensify: UPI, QRIS, and PromptPay are still adding users and merchant use cases; policy and ecosystem incentives remain aligned to keep shifting ecommerce away from cards and cash. 2. Short-video and social platforms integrate commerce into everyday media in China and Indonesia • In China, Douyin (TikTok’s sister app) has become one of the largest ecommerce ecosystems. Its ecommerce GMV reached about RMB 3.5 trillion in 2024, up roughly 30% year on year, with a 2025 target of RMB 4.2 trillion. Kuaishou’s ecommerce GMV was already around RMB 1.18 trillion in 2023. In Indonesia, TikTok Shop has been folded into Tokopedia: TikTok completed a transaction to inject its local ecommerce business into PT Tokopedia in early 2024 and subsequently secured conditional competition approval in 2025. • For consumers in these markets, product discovery, live streams, creator content, and checkout are now housed within a single interface, rather than starting on a search engine or a horizontal marketplace. • High social-media and short-video penetration in China and Indonesia provides platforms with a large, engaged base and rich behavioural data, making personalised product recommendations more effective. Brands and merchants face rising customer acquisition costs on conventional marketplaces and search advertising; live-streaming rooms and creator partnerships on Douyin, Kuaishou and TikTok/Tokopedia provide lower-funnel conversion with measurable GMV. • In Indonesia, regulatory limits on standalone social commerce led TikTok to pursue a hybrid model via Tokopedia, aligning commerce growth with policy expectations while preserving the social-commerce user journey. • In China, short-video platforms are likely to keep gaining share in categories such as beauty, apparel, and impulse home goods, putting pressure on incumbent marketplaces and brand D2C sites to differentiate through logistics, services, and offline integration rather than pure assortment. • In Indonesia, the TikTok–Tokopedia entity will likely exert greater pricing and promotional pressure on Shopee, Lazada, and domestic players, especially in fashion and small-ticket general merchandise, as the combined platform optimises creator traffic to Tokopedia’s marketplace. Regulatory scrutiny will continue, particularly around data use, competition and SME treatment, but the structural shift toward content-driven ecommerce is unlikely to reverse; instead, the operating models of these platforms will adapt to new rules while the trend itself continues to strengthen. 3. Chinese cross-border platforms alter competitive dynamics in Australia and Japan • In Australia, international marketplaces such as Temu, Shein and Amazon have rapidly expanded their customer bases. Recent press coverage of shopper surveys indicates around 4.7 million Australians now shop with Temu, 2.6 million with Shein, and roughly 8.8 million with Amazon, with these platforms contributing an estimated A$1.3 billion increase in annual online sales. The Australian Competition and Consumer Commission’s (ACCC) final Digital Platform Services Inquiry notes that global marketplaces including Amazon, eBay, Shein, and Temu are playing a significant role in reshaping online retail competition and introducing new consumer protection challenges. • In Japan, authorities are moving to level the playing field as parcel volumes from Chinese cross-border platforms surge; tax rules that effectively tax only 60% of the value of small personal imports are set to be scrapped under fiscal 2026 reforms, and exemptions for low-value parcels are under review. • Cost-of-living pressure in Australia and Japan has increased demand for low-priced fashion, home goods and electronics; Temu and Shein rely on direct-from-factory supply chains in China to undercut domestic retailers on price. Cross-border ecommerce has benefited from customs thresholds and VAT/tax rules that made small parcels relatively cheap for overseas sellers. At the same time, domestic retailers must comply with local tax and consumer protection regimes. • Platforms have invested heavily in localised apps, free shipping promotions, and returns policies, making them substitutes for both domestic online retailers and physical discount chains. • In Australia, cross-border platforms are likely to keep taking market share, especially in fashion and general merchandise, but will face tighter regulatory oversight of unfair trading practices, data use, and product safety as the ACCC pushes for a dedicated digital competition regime. • In Japan, removing tax preferences for small parcels and stricter enforcement of under-valuation will reduce some of the cost advantage for overseas platforms, supporting domestic retailers and local marketplaces such as Rakuten and Yahoo! Shopping. Overall, the trend will remain but become more regulated; margins for cross-border players will tighten, pushing them to either scale further, invest in local warehousing, or shift towards higher-value categories to sustain profitability. 4. Domestic champions deepen logistics networks and quick-commerce capabilities in India, Korea and Japan • In India, quick-commerce and grocery players are scaling dense dark-store networks. BigBasket (Tata Group) plans nationwide 10-minute food delivery by FY 2026, targeting 1,000–1,200 dark stores by end-2025, up from around 700 today. Swiggy Instamart reported 101% year-on-year growth in gross order value in Q4 FY 2025, reaching about ₹4,670 crore, and added 316 dark stores in a single quarter, expanding to 124 cities and raising average order value to roughly ₹527. • In South Korea, Coupang’s “Rocket” next-day/overnight delivery model continues to scale: 2024 revenues reached about $30.3 billion, up 24% year on year, with operations also expanding in Taiwan. In Japan, METI’s latest survey shows the domestic B2C ecommerce market reached ¥26.1 trillion in 2024, up 5.1% year on year, with ecommerce penetration in goods rising to 9.8% of total commercial transactions underpinned by high-reliability parcel and convenience-store pickup networks. • In India, rising urban density, high youth smartphone penetration and widespread UPI usage make frequent, small-basket online orders feasible; grocery and food-delivery incumbents are leveraging existing demand to introduce ultra-fast delivery for both food and packaged goods. • Korean and Japanese consumers are accustomed to reliable home delivery and convenient returns; domestic players like Coupang and major Japanese retailers have responded by building large fulfilment centres and last-mile networks to guarantee next-day or timed delivery as a baseline. Across these markets, traditional retailers are using online channels, click-and-collect, and store-based fulfilment to maintain relevance, prompting continued investment in logistics IT, routing, and inventory accuracy. • In India’s large cities, 10–30-minute delivery and same-day options are likely to extend beyond groceries into categories like pharmacy, beauty and small electronics, intensifying competition on speed and assortment but also forcing consolidation among weaker players that cannot fund dense networks. • In South Korea and Japan, same- or next-day delivery will increasingly be treated as a standard feature rather than a differentiator, shifting competition towards assortment breadth, membership benefits and cross-border product access. Margin pressure from higher logistics expectations will keep profitability in focus, driving more automation (sorting, warehousing) and tighter integration between online and offline stock. Still, the structural expectation of “fast and reliable” delivery is unlikely to soften. Competitive Landscape Competitive intensity is expected to increase as short-video platforms deepen their commerce integration in China and Southeast Asia. At the same time, cross-border entrants continue to reshape price expectations in Australia and Japan. India will see stronger competition in grocery and FMCG as quick-commerce expands into more categories. Regulatory intervention, particularly in Indonesia, Australia, and Japan, will influence platform strategies around pricing, merchant treatment and data practices. The localisation of fulfilment, payments integration, and stronger compliance requirements will determine which firms retain a long-term advantage. Current State of the Market • Ecommerce in–Pacific is characterised by high competitive intensity, with multinational platforms, domestic marketplaces, social-commerce players and quick-commerce operators all expanding their presence. In China, Alibaba and JD.com continue to face pressure on their market share from platforms built on short-video ecosystems such as Douyin and Kuaishou. In India, Amazon and Walmart-owned Flipkart compete closely with Reliance Retail’s Ajio and JioMart, while quick-commerce platforms intensify rivalry in daily-needs categories. Southeast Asia remains a multi-player environment where Shopee, Lazada, and Tokopedia (now integrated with TikTok Shop) contest leadership, especially in Indonesia and Vietnam. Developed markets such as Australia, Japan and South Korea face increased pressure from cross-border entrants, most notably Temu and Shein, which are challenging domestic retailers on pricing and fulfilment expectations. Key Players and New Entrants • Across the region, leading players include Alibaba, JD.com, and Pinduoduo (Temu) in China; Amazon, Flipkart, and Reliance in India; Shopee, Lazada, Tokopedia, and now TikTok-Tokopedia in Southeast Asia; Rakuten and Yahoo! Shopping in Japan; and Coupang in South Korea. New entrants are primarily cross-border Chinese platforms, especially Temu and Shein in Australia and Japan, where consumer adoption has grown sharply. In Indonesia, TikTok formally re-entered ecommerce through its partnership with Tokopedia under new regulatory conditions. In India, domestic platforms continue to emerge in specialised verticals such as beauty, personal care, and pharmacy, though recent entrants remain relatively small compared with the major incumbents. Recent Launches, Mergers, and Acquisitions • TikTok’s integration of TikTok Shop with Tokopedia in Indonesia (2024–25) is the most significant regional restructuring, enabling it to resume ecommerce operations after regulatory restrictions. In Australia, regulatory filings and parliamentary discussions have highlighted rising activity by Temu and Shein, prompting closer scrutiny of consumer protection. In India, quick-commerce firms such as Swiggy Instamart and BigBasket have expanded dark-store networks. At the same time, Reliance continues to acquire and partner with offline retail brands to strengthen omnichannel capabilities. South Korea’s Coupang expanded operations into Taiwan, representing cross-market expansion rather than consolidation. This report provides a detailed data-centric analysis of the ecommerce industry in Asia Pacific offering comprehensive coverage of both overall and ecommerce markets. It includes more than 80+ KPIs, covering gross merchandise value, gross merchandise volume, and average value per transaction. The report provides a detailed assessment of the ecommerce market across all major segments, including retail shopping, travel, food service, media, healthcare, and technology categories. It analyzes sales channels, engagement models, device and operating system usage, as well as domestic versus cross-border flows and city-tier contributions. The study also covers payment instruments and consumer demographics by age, income, and gender to map evolving purchasing behavior. Together, these datasets offer a comprehensive view of ecommerce market size, customer behavior, and digital channel performance. PayNXT360 research methodology is based on industry best practices. Its unbiased analysis leverages a proprietary analytics platform to deliver a detailed view of market performance, structural trends, and growth dynamics across the ecommerce ecosystem, with a primary focus on overall delivery markets. This title from PayNXT360 is a bundled offering, combining the following 17 reports, covering 1,150+ tables and 1,600+ figures for the Ecommerce Market: 1. Asia Pacific Ecommerce Market Business and Investment Opportunities Databook 2. Australia Ecommerce Market Business and Investment Opportunities Databook 3. Bangladesh Ecommerce Market Business and Investment Opportunities Databook 4. China Ecommerce Market Business and Investment Opportunities Databook 5. India Ecommerce Market Business and Investment Opportunities Databook 6. Indonesia Ecommerce Market Business and Investment Opportunities Databook 7. Japan Ecommerce Market Business and Investment Opportunities Databook 8. Malaysia Ecommerce Market Business and Investment Opportunities Databook 9. South Korea Ecommerce Market Business and Investment Opportunities Databook 10. Myanmar Ecommerce Market Business and Investment Opportunities Databook 11. Pakistan Ecommerce Market Business and Investment Opportunities Databook 12. Philippines Ecommerce Market Business and Investment Opportunities Databook 13. Singapore Ecommerce Market Business and Investment Opportunities Databook 14. Sri Lanka Ecommerce Market Business and Investment Opportunities Databook 15. Taiwan Ecommerce Market Business and Investment Opportunities Databook 16. Thailand Ecommerce Market Business and Investment Opportunities Databook 17. Vietnam Ecommerce Market Business and Investment Opportunities Databook
This report provides a detailed data-driven analysis of the B2C ecommerce market in Asia Pacific, focusing on the overall digital retail ecosystem and its growth trajectory. It examines key ecommerce segments, sales channels, and consumer behavior shaping the evolution of online purchasing in the country. Asia Pacific B2C Ecommerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Value per Transaction Asia Pacific Social Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Value per Transaction Asia Pacific Quick Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Value per Transaction Asia Pacific B2C Ecommerce Market Segmentation by Ecommerce Vertical -- Retail Shopping -- Travel & Hospitality -- Online Food Service -- Media & Entertainment -- Healthcare & Wellness -- Technology Products & Services -- Other Asia Pacific B2C Ecommerce Market Segmentation by Retail Shopping Category -- Clothing, Footwear & Accessories -- Health, Beauty & Personal Care -- Food & Beverage -- Appliances & Electronics -- Home Improvement -- Books, Music & Video -- Toys & Hobby -- Auto Parts & Accessories -- Other Asia Pacific B2C Ecommerce Market Segmentation by Retail Shopping Sales Channel -- Platform-to-Consumer -- Direct-to-Consumer -- Consumer-to-Consumer Asia Pacific B2C Ecommerce Market Segmentation by Travel & Hospitality Category -- Air Travel -- Train & Bus -- Taxi & Ride-Hailing -- Hotels & Resorts -- Other Asia Pacific B2C Ecommerce Market Segmentation by Travel and Hospitality Sales Channel -- Air Travel- Aggregator App -- Air Travel- Direct-to-Consumer -- Train & Bus- Aggregator App -- Train & Bus- Direct-to-Consumer -- Taxi & Ride-Hailing- Aggregator App -- Taxi & Ride-Hailing- Direct-to-Consumer -- Hotels & Resorts- Aggregator App -- Hotels & Resorts- Direct-to-Consumer -- Other- Aggregator App -- Other- Direct-to-Consumer Asia Pacific B2C Ecommerce Market Segmentation by Online Food Service Sales Channel -- Aggregator App -- Direct-to-Consumer Asia Pacific B2C Ecommerce Market Segmentation by Media & Entertainment Sales Channel -- Streaming Services -- Movies & Events -- Theme Parks & Gaming -- Other Asia Pacific B2C Ecommerce Market Segmentation by Engagement Model -- Website-Based -- Live Streaming Asia Pacific B2C Ecommerce Market Segmentation by Location -- Cross-Border -- Domestic Asia Pacific B2C Ecommerce Market Segmentation by Device -- Mobile -- Desktop Asia Pacific B2C Ecommerce Market Segmentation by Operating System -- iOS / macOS -- Android -- Other Operating Systems Asia Pacific B2C Ecommerce Market Segmentation by City Tier -- Tier 1 -- Tier 2 -- Tier 3 Asia Pacific B2C Ecommerce Market Segmentation by Payment Instrument -- Credit Card -- Debit Card -- Bank Transfer -- Prepaid Card -- Digital & Mobile Wallet -- Other Digital Payment -- Cash Asia Pacific B2C Ecommerce Consumer Demographics & Behaviour -- Market Share by Age Group -- Market Share by Income Level -- Market Share by Gender Asia Pacific B2C Ecommerce User Statistics & Ratios -- Internet Users -- Ecommerce Users -- Social Media Users -- Smartphone Penetration -- Banked Population -- Ecommerce Per Capita -- GDP Per Capita -- Ecommerce as % of GDP -- Cart Abandonment Rate -- Product Retun Rate Asia Pacific B2C Ecommerce Operational Metrics by Ecommerce Segment -- Gross Merchandise Value by Segment Asia Pacific B2C Ecommerce Operational Metrics by Retail Shopping Category -- Gross Merchandise Value by Category Asia Pacific B2C Ecommerce Operational Metrics by Sales Channel -- Gross Merchandise Value by Channel Asia Pacific B2C Ecommerce Operational Metrics by Location -- Gross Merchandise Value by Location Asia Pacific B2C Ecommerce Operational Metrics by Device -- Gross Merchandise Value by Device Asia Pacific B2C Ecommerce Operational Metrics by Operating System -- Gross Merchandise Value by Operating System Asia Pacific B2C Ecommerce Operational Metrics by City Tier -- Gross Merchandise Value by City Tier Asia Pacific B2C Ecommerce Operational Metrics by Payment Instrument -- Gross Merchandise Value by Payment Instrument
• Comprehensive Market Intelligence: Develop a complete understanding of the B2C ecommerce landscape in Asia Pacific with fundamental ecommerce metrics such as gross merchandise value, gross merchandise volume, and average value per transaction across all major ecommerce segments. • Granular Segmentation and Cross-Analysis: Analyse the online retail ecosystem through detailed segmentation covering ecommerce segments, retail product categories, travel and hospitality verticals, media and entertainment services, sales channels, devices, operating systems, cities, and payment instruments, enabling deep insight into evolving consumer shopping patterns. • Operational and Performance Benchmarking: Benchmark marketplaces, direct-to-consumer platforms, aggregators, and category-focused players using KPIs such as GMV share, category-level performance, channel efficiency, device contribution, and payment mode penetration, supporting comparative assessment of platform strengths and competitive positioning. • Consumer Behavior and Ecosystem Readiness: Understand how demographics, income groups, gender mix, device usage, and payment preferences shape online purchasing decisions, influencing category demand, cart abandonment behavior, product return tendencies, and the shift toward digital-first commerce. • Data-Driven Forecasts and KPI Tracking: Access a structured dataset of 80+ ecommerce KPIs with historical and forecast values up to 2029, providing clarity on growth drivers, category expansion, sales-channel transitions, and payment-instrument evolution across the B2C ecommerce value chain. • Decision-Ready Databook Format: Delivered in a standardized, analytics-friendly databook format aligned with financial modeling requirements, enabling ecommerce companies, consumer brands, payment providers, technology firms, and investors to conduct evidence-based market assessment and strategic planning.
This title from PayNXT360 is a bundled offering, combining the following 17 reports, covering 1,150+ tables and 1,600+ figures for the Ecommerce Market: 1. Asia Pacific Ecommerce Market Business and Investment Opportunities Databook 2. Australia Ecommerce Market Business and Investment Opportunities Databook 3. Bangladesh Ecommerce Market Business and Investment Opportunities Databook 4. China Ecommerce Market Business and Investment Opportunities Databook 5. India Ecommerce Market Business and Investment Opportunities Databook 6. Indonesia Ecommerce Market Business and Investment Opportunities Databook 7. Japan Ecommerce Market Business and Investment Opportunities Databook 8. Malaysia Ecommerce Market Business and Investment Opportunities Databook 9. South Korea Ecommerce Market Business and Investment Opportunities Databook 10. Myanmar Ecommerce Market Business and Investment Opportunities Databook 11. Pakistan Ecommerce Market Business and Investment Opportunities Databook 12. Philippines Ecommerce Market Business and Investment Opportunities Databook 13. Singapore Ecommerce Market Business and Investment Opportunities Databook 14. Sri Lanka Ecommerce Market Business and Investment Opportunities Databook 15. Taiwan Ecommerce Market Business and Investment Opportunities Databook 16. Thailand Ecommerce Market Business and Investment Opportunities Databook 17. Vietnam Ecommerce Market Business and Investment Opportunities Databook All regional and country reports mentioned above will have the following tables of contents: 1. About this Report 1.1 Summary 1.2 Methodology 1.3 Ecommerce Definitions 1.4 Disclaimer 2. Ecommerce Market Size and Future Growth Dynamics 2.1 Ecommerce – Gross Merchandise Value Trend Analysis, 2020-2029 2.2 Ecommerce – Average Value Per Transaction Trend Analysis, 2020-2029 2.3 Ecommerce – Gross Merchandise Volume Trend Analysis, 2020-2029 3. Social Commerce Market Size and Forecast 3.1 Social Commerce – Gross Merchandise Value Trend Analysis 2020-2029 3.2 Social Commerce – Average Value Per Transaction Trend Analysis, 2020-2029 3.3 Social Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 4. Quick Commerce Market Size and Forecast 4.1 Quick Commerce – Gross Merchandise Value Trend Analysis 2020-2029 4.2 Quick Commerce – Average Value Per Transaction Trend Analysis, 2020-2029 4.3 Quick Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 5. User Statistics and Ratios Of Key Performance Indicators 5.1 User Statistics, 2024 5.2 User Statistics of Card Abandonment Rate and Product Return Rate, 2024 5.3 Ecommerce Per Capita and GDP Per Capita, 2024 5.4 GDP Per Capita Trend Analysis, 2020-2029 6. Ecommerce Market Size and Forecast by Ecommerce Segments 6.1 Ecommerce Market Share by Ecommerce Segments, 2020-2029 6.2 Ecommerce Retail Shopping – Gross Merchandise Value Trend Analysis, 2020-2029 6.3 Travel and Hospitality – Gross Merchandise Value Trend Analysis, 2020-2029 6.4 Online Food Service – Gross Merchandise Value Trend Analysis, 2020-2029 6.5 Media and Entertainment – Gross Merchandise Value Trend Analysis, 2020-2029 6.6 Healthcare and Wellness – Gross Merchandise Value Trend Analysis, 2020-2029 6.7 Technology Products and Services – Gross Merchandise Value Trend Analysis, 2020-2029 6.8 Other Segment – Gross Merchandise Value Trend Analysis, 2020-2029 7. Ecommerce Market Size and Forecast by Retail Shopping Categories 7.1 Ecommerce Market Share by Retail Shopping Categories, 2020-2029 7.2 Clothing, Footwear & Accessories – Gross Merchandise Value Trend Analysis, 2020-2029 7.3 Health, Beauty and Personal Care – Gross Merchandise Value Trend Analysis, 2020-2029 7.4 Food & Beverage – Gross Merchandise Value Trend Analysis, 2020-2029 7.5 Appliances and Electronics – Gross Merchandise Value Trend Analysis, 2020-2029 7.6 Home Improvement – Gross Merchandise Value Trend Analysis, 2020-2029 7.7 Books, Music & Video – Gross Merchandise Value Trend Analysis, 2020-2029 7.8 Toys & Hobby – Gross Merchandise Value Trend Analysis, 2020-2029 7.9 Auto – Gross Merchandise Value Trend Analysis, 2020-2029 7.10 Ecommerce Other – Gross Merchandise Value Trend Analysis, 2020-2029 8. Ecommerce Market Size and Forecast by Retail Shopping Sales Channel 8.1 Ecommerce Market Share by Retail Shopping Sales Channel, 2020-2029 8.2 Ecommerce Platform to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 8.3 Ecommerce Direct to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 8.4 Ecommerce Consumer to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 9. Ecommerce Market Size and Forecast by Travel and Hospitality Categories 9.1 Ecommerce Market Share by Travel and Hospitality Categories (%), 2020-2029 9.2 Air Travel – Gross Merchandise Value Trend Analysis, 2020-2029 9.3 Train & Bus – Gross Merchandise Value Trend Analysis, 2020-2029 9.4 Taxi Service – Gross Merchandise Value Trend Analysis, 2020-2029 9.5 Hotels & Resorts – Gross Merchandise Value Trend Analysis, 2020-2029 9.6 Travel and Hospitality Other – Gross Merchandise Value Trend Analysis, 2020-2029 10. Ecommerce Market Share by Travel and Hospitality Sales Channel 10.1 Ecommerce Market Share by Travel and Hospitality Sales Channel 10.1.1 Ecommerce Market Share by Travel and Hospitality Sales Channel, 2020-2029 10.1.2 Aggregator App – Gross Merchandise Value Trend Analysis, 2020-2029 10.1.3 Direct to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 10.2 Air Travel Market Share by Sales Channel 10.2.1 Air Travel Market Share by Sales Channel, 2020-2029 10.2.2 Air Travel – Aggregator App – Gross Merchandise Value Trend Analysis, 2020-2029 10.2.3 Air Travel – Direct to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 10.3 Hotels & Resorts Market Share by Sales Channel 10.3.1 Hotels & Resorts Market Share by Sales Channel, 2020-2029 10.3.2 Hotels & Resorts – Aggregator App – Gross Merchandise Value Trend Analysis, 2020-2029 10.3.3 Hotels & Resorts – Direct to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 10.4 Taxi Service Market Share by Sales Channel 10.4.1 Taxi Service Market Share by Sales Channel, 2020-2029 10.4.2 Taxi Service – Aggregator App – Gross Merchandise Value Trend Analysis, 2020-2029 10.4.3 Taxi Service – Direct to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 10.5 Other Segment Market Share by Sales Channel 10.5.1 Other Segment Market Share by Sales Channel, 2020-2029 10.5.2 Other – Aggregator App – Gross Merchandise Value Trend Analysis, 2020-2029 10.5.3 Other – Direct to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 11. Ecommerce Market Size and Forecast by Online Food Service Sales Channel 11.1 Market Share by Online Food Service Sales Channels, 2020-2029 11.2 Aggregator App – Gross Merchandise Value Trend Analysis, 2020-2029 11.3 Ecommerce Direct to Consumer – Gross Merchandise Value Trend Analysis, 2020-2029 12. Ecommerce Market Size and Forecast by Media and Entertainment Sales Channel 12.1 Market Share by Media and Entertainment Sales Channel, 2020-2029 12.2 Streaming Services – Gross Merchandise Value Trend Analysis, 2020-2029 12.3 Movies & Events – Gross Merchandise Value Trend Analysis, 2020-2029 12.4 Theme Parks & Gaming – Gross Merchandise Value Trend Analysis, 2020-2029 12.5 Media and Entertainment Other – Gross Merchandise Value Trend Analysis, 2020-2029 13. Ecommerce Market Size and Forecast by Engagement Model 13.1 Ecommerce Market Share by Engagement Model, 2020-2029 13.2 Ecommerce Website Based – Gross Merchandise Value Trend Analysis, 2020-2029 13.3 Ecommerce Live Streaming – Gross Merchandise Value Trend Analysis, 2020-2029 14. Ecommerce Market Size and Forecast by Location 14.1 Ecommerce Market Share by Location, 2020-2029 14.2 Ecommerce Cross Border – Gross Merchandise Value Trend Analysis, 2020-2029 14.3 Ecommerce Domestic – Gross Merchandise Value Trend Analysis, 2020-2029 15. Ecommerce Market Size and Forecast by Device 15.1 Ecommerce Market Share by Device, 2020-2029 15.2 Ecommerce Mobile – Gross Merchandise Value Trend Analysis, 2020-2029 15.3 Ecommerce Desktop – Gross Merchandise Value Trend Analysis, 2020-2029 16. Ecommerce Market Size and Forecast by Operating System 16.1 Ecommerce Market Share by Operating System, 2020-2029 16.2 Ecommerce iOS/macOS – Gross Merchandise Value Trend Analysis, 2020-2029 16.3 Ecommerce Android – Gross Merchandise Value Trend Analysis, 2020-2029 16.4 Ecommerce Other Operating Systems – Gross Merchandise Value Trend Analysis, 2020-2029 17. Ecommerce Market Size and Forecast by City 17.1 Ecommerce Market Share by City, 2020-2029 17.2 Ecommerce Tier 1 – Gross Merchandise Value Trend Analysis, 2020-2029 17.3 Ecommerce Tier 2 – Gross Merchandise Value Trend Analysis, 2020-2029 17.4 Ecommerce Tier 3 – Gross Merchandise Value Trend Analysis, 2020-2029 18. Ecommerce Market Size and Forecast by Payment Instrument 18.1 Ecommerce Market Share by Payment Instrument, 2020-2029 18.2 Ecommerce Credit Card – Gross Merchandise Value Trend Analysis, 2020-2029 18.3 Ecommerce Debit Card – Gross Merchandise Value Trend Analysis, 2020-2029 18.4 Ecommerce Bank Transfer – Gross Merchandise Value Trend Analysis, 2020-2029 18.5 Ecommerce Prepaid Card – Gross Merchandise Value Trend Analysis, 2020-2029 18.6 Ecommerce Digital & Mobile Wallet – Gross Merchandise Value Trend Analysis, 2020-2029 18.7 Ecommerce Other Digital Payment – Gross Merchandise Value Trend Analysis, 2020-2029 18.8 Ecommerce Cash – Gross Merchandise Value Trend Analysis, 2020-2029 19. Ecommerce by Consumer Demographics 19.1 Ecommerce Market Share by Age Group, 2024 19.2 Ecommerce Market Share by Income Level, 2024 19.3 Ecommerce Market Share by Gender, 2024 20. Further Reading 20.1 About PayNXT360 20.2 Related Research
Table 1: Ecommerce – Gross Merchandise Value (US$ Million), 2020-2029 Table 2: Ecommerce – Average Value Per Transaction (US$), 2020-2029 Table 3: Ecommerce – Gross Merchandise Volume (Million), 2020-2029 Table 4: Social Commerce – Gross Merchandise Value (US$ Million), 2020-2029 Table 5: Social Commerce – Average Value Per Transaction (US$), 2020-2029 Table 6: Social Commerce – Gross Merchandise Volume (Million), 2020-2029 Table 7: Quick Commerce – Gross Merchandise Value (US$ Million), 2020-2029 Table 8: Quick Commerce – Average Value Per Transaction (US$), 2020-2029 Table 9: Quick Commerce – Gross Merchandise Volume (Million), 2020-2029 Table 10: GDP Per Capita (US$), 2020-2029 Table 11: Ecommerce Retail Shopping – Gross Merchandise Value (US$ Million), 2020-2029 Table 12: Travel and Hospitality – Gross Merchandise Value (US$ Million), 2020-2029 Table 13: Online Food Service – Gross Merchandise Value (US$ Million), 2020-2029 Table 14: Media and Entertainment – Gross Merchandise Value (US$ Million), 2020-2029 Table 15: Healthcare and Wellness – Gross Merchandise Value (US$ Million), 2020-2029 Table 16: Technology Products and Services – Gross Merchandise Value (US$ Million), 2020-2029 Table 17: Other segment Gross Merchandise Value (US$ Million), 2020-2029 Table 18: Clothing, Footwear & Accessories – Gross Merchandise Value (US$ Million), 2020-2029 Table 19: Health, Beauty and Personal Care – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 20: Food & Beverage – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 21: Appliances and Electronics – Gross Merchandise Value (US$ Million), 2020-2029 Table 22: Home Improvement – Gross Merchandise Value (US$ Million), 2020-2029 Table 23: Books, Music & Video – Gross Merchandise Value (US$ Million), 2020-2029 Table 24: Toys & Hobby – Gross Merchandise Value (US$ Million), 2020-2029 Table 25: Auto – Gross Merchandise Value (US$ Million), 2020-2029 Table 26: Ecommerce Other – Gross Merchandise Value (US$ Million), 2020-2029 Table 27: Ecommerce Platform to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 28: Ecommerce Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 29: Ecommerce Consumer to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 30: Air Travel – Gross Merchandise Value (US$ Million), 2020-2029 Table 31: Train & Bus – Gross Merchandise Value (US$ Million), 2020-2029 Table 32: Taxi Service – Gross Merchandise Value (US$ Million), 2020-2029 Table 33: Hotels & Resorts – Gross Merchandise Value (US$ Million), 2020-2029 Table 34: Travel and Hospitality Other – Gross Merchandise Value (US$ Million), 2020-2029 Table 35: Ecommerce Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Table 36: Ecommerce Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 37: Air Travel- Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Table 38: Air Travel- Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 39: Hotels & Resorts - Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Table 40: Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 41: Taxi Service- Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Table 42: Taxi Service- Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 43: Other- Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Table 44: Other- Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Table 45: Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Table 46: Direct to Consumer– Gross Merchandise Value (US$ Million), 2020-2029 Table 47: Streaming Services – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 48: Movies & Events – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 49: Theme Parks & Gaming – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 50: Media and Entertainment Other – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 51: Ecommerce Website Based – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 52: Ecommerce Live Streaming – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 53: Ecommerce Cross Border – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 54: Ecommerce Domestic – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Table 55: Ecommerce Mobile – Gross Merchandise Value (US$ Million), 2020-2029 Table 56: Ecommerce Desktop – Gross Merchandise Value (US$ Million), 2020-2029 Table 57: Ecommerce iOS/macOS – Gross Merchandise Value (US$ Million), 2020-2029 Table 58: Ecommerce Android – Gross Merchandise Value (US$ Million), 2020-2029 Table 59: Ecommerce Other Operating Systems – Gross Merchandise Value (US$ Million), 2020-2029 Table 60: Ecommerce Tier 1 – Gross Merchandise Value (US$ Million), 2020-2029 Table 61: Ecommerce Tier 2 – Gross Merchandise Value (US$ Million), 2020-2029 Table 62: Ecommerce Tier 3 – Gross Merchandise Value (US$ Million), 2020-2029 Table 63: Ecommerce Credit Card – Gross Merchandise Value (US$ Million), 2020-2029 Table 64: Ecommerce Debit Card – Gross Merchandise Value (US$ Million), 2020-2029 Table 65: Ecommerce Bank Transfer – Gross Merchandise Value (US$ Million), 2020-2029 Table 66: Ecommerce Prepaid Card – Gross Merchandise Value (US$ Million), 2020-2029 Table 67: Ecommerce Digital & Mobile Wallet – Gross Merchandise Value (US$ Million), 2020-2029 Table 68: Ecommerce Other Digital Payment – Gross Merchandise Value (US$ Million), 2020-2029 Table 69: Ecommerce Cash – Gross Merchandise Value (US$ Million), 2020-2030
Figure 1: PayNXT360’s Methodology Framework Figure 2: Ecommerce – Gross Merchandise Value (US$ Million), 2020-2029 Figure 3: Ecommerce – Average Value Per Transaction (US$), 2020-2029 Figure 4: Ecommerce – Gross Merchandise Volume (Million), 2020-2029 Figure 5: Social Commerce – Gross Merchandise Value (US$ Million), 2020-2029 Figure 6: Social Commerce – Average Value Per Transaction (US$), 2020-2029 Figure 7: Social Commerce – Gross Merchandise Volume (Million), 2020-2029 Figure 8: Quick Commerce – Gross Merchandise Value (US$ Million), 2020-2029 Figure 9: Quick Commerce – Average Value Per Transaction (US$), 2020-2029 Figure 10: Quick Commerce – Gross Merchandise Volume (Million), 2020-2029 Figure 11: User Statistics (Million), 2024 Figure 12: User Statistics of Card Abandonment Rate and Product Return Rate Figure 13: Ecommerce Per Capita and GDP Per Capita (US$), 2024 Figure 14: GDP Per Capita (US$), 2020-2029 Figure 18: Ecommerce Market Share by Ecommerce Segments (%), 2020-2029 Figure 19: Ecommerce Retail Shopping – Gross Merchandise Value (US$ Million), 2020-2029 Figure 20: Travel and Hospitality – Gross Merchandise Value (US$ Million), 2020-2029 Figure 21: Online Food Service – Gross Merchandise Value (US$ Million), 2020-2029 Figure 22: Media and Entertainment – Gross Merchandise Value (US$ Million), 2020-2029 Figure 23: Healthcare and Wellness – Gross Merchandise Value (US$ Million), 2020-2029 Figure 24: Technology Products and Services – Gross Merchandise Value (US$ Million), 2020-2029 Figure 25: Other segment Gross Merchandise Value (US$ Million), 2020-2029 Figure 26: Ecommerce Market Share by Retail Shopping Categories (%), 2020-2029 Figure 27: Clothing, Footwear & Accessories – Gross Merchandise Value (US$ Million), 2020-2029 Figure 28: Health, Beauty and Personal Care – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 29: Food & Beverage – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 30: Appliances and Electronics – Gross Merchandise Value (US$ Million), 2020-2029 Figure 31: Home Improvement – Gross Merchandise Value (US$ Million), 2020-2029 Figure 32: Books, Music & Video – Gross Merchandise Value (US$ Million), 2020-2029 Figure 33: Toys & Hobby – Gross Merchandise Value (US$ Million), 2020-2029 Figure 34: Auto – Gross Merchandise Value (US$ Million), 2020-2029 Figure 35: Ecommerce Other – Gross Merchandise Value (US$ Million), 2020-2029 Figure 36: Ecommerce Market Share by Retail Shopping Sales Channel (%), 2020-2029 Figure 37: Ecommerce Platform to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 38: Ecommerce Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 39: Ecommerce Consumer to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 40: Ecommerce Market Share by Travel and Hospitality Categories (%), 2020-2029 Figure 41: Air Travel – Gross Merchandise Value (US$ Million), 2020-2029 Figure 42: Train & Bus – Gross Merchandise Value (US$ Million), 2020-2029 Figure 43: Taxi Service – Gross Merchandise Value (US$ Million), 2020-2029 Figure 44: Hotels & Resorts – Gross Merchandise Value (US$ Million), 2020-2029 Figure 45: Travel and Hospitality Other – Gross Merchandise Value (US$ Million), 2020-2029 Figure 46: Ecommerce Market Share by Travel and Hospitality Sales Channel (%), 2020-2029 Figure 47: Ecommerce Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Figure 48: Ecommerce Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 49: Air Travel Market Share by Sales Channel (%), 2020-2029 Figure 50: Air Travel- Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Figure 51: Air Travel- Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 52: Hotels & Resorts Market Share by Sales Channel (%), 2020-2029 Figure 53: Hotels & Resorts - Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Figure 54: Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 55: Taxi Service Market Share by Sales Channel (%), 2020-2029 Figure 56: Taxi Service- Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Figure 57: Taxi Service - Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 58: Other Segment Market Share by Sales Channel (%), 2020-2029 Figure 59: Other- Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Figure 60: Other- Direct to Consumer – Gross Merchandise Value (US$ Million), 2020-2029 Figure 61: Market Share by Online Food Service Sales Channels (%), 2020-2029 Figure 62: Aggregator App – Gross Merchandise Value (US$ Million), 2020-2029 Figure 63: Direct to Consumer– Gross Merchandise Value (US$ Million), 2020-2029 Figure 64: Market Share by Media and Entertainment Sales Channel (%), 2020-2029 Figure 65: Streaming Services – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 66: Movies & Events – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 67: Theme Parks & Gaming – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 68: Media and Entertainment Other – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 69: Ecommerce Market Share by Engagement Model (%), 2020-2029 Figure 70: Ecommerce Website Based – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 71: Ecommerce Live Streaming – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 72: Ecommerce Market Share by Location (%), 2020-2029 Figure 73: Ecommerce Cross Border – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 74: Ecommerce Domestic – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 75: Ecommerce Market Share by Device (%), 2020-2029 Figure 76: Ecommerce Mobile – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 77: Ecommerce Desktop – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 78: Ecommerce Market Share by Operating System (%), 2020-2029 Figure 79: Ecommerce iOS/macOS – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 80: Ecommerce Android – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 81: Ecommerce Other Operating Systems – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 82: Ecommerce Market Share by City (%), 2020-2029 Figure 83: Ecommerce Tier 1 – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 84: Ecommerce Tier 2 – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 85: Ecommerce Tier 3 – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 86: Ecommerce Market Share by Payment Instrument (%), 2020-2029 Figure 87: Ecommerce Credit Card – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 88: Ecommerce Debit Card – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 89: Ecommerce Bank Transfer – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 90: Ecommerce Prepaid Card – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 91: Ecommerce Digital & Mobile Wallet – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 92: Ecommerce Other Digital Payment – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 93: Ecommerce Cash – Gross Merchandise Value Trend Analysis (US$ Million), 2020-2029 Figure 94: Ecommerce Market Share by Age Group (%), 2024 Figure 95: Ecommerce Market Share by Income Level (%), 2024 Figure 96: Ecommerce Market Share by Gender (%), 2024
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