The Social Commerce Market Size was valued at USD 935.48 Billion in 2023 and is expected to reach USD 10869.33 Billion by 2032 and grow at a CAGR of 31.4% over the forecast period 2024-2032.
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The Market is rapidly growing, driven by smartphone adoption, influencer marketing, and integrated shopping features on social media platforms. It enables direct buying and selling through social networks, leveraging user engagement, live streaming, and community-driven purchases. Key drivers include interactive shopping experiences, influencer impact, and AI-powered personalization. Platforms like Facebook, Instagram, TikTok, and WeChat have become retail hubs. The market is segmented by business model, product type, and platform type, with trends like live shopping and short-video commerce shaping its future. Social commerce is redefining e-commerce, offering brands new ways to engage and convert customers.
Key Drivers:
Growing Integration of AI and Personalization Enhances Consumer Engagement in the Social Commerce Market
The adoption of AI-driven personalization in social commerce is significantly enhancing consumer engagement and conversion rates. AI algorithms analyze user behavior, preferences, and purchase history to deliver tailored product recommendations, improving the shopping experience. Platforms like TikTok, Instagram, and WeChat leverage AI-powered chatbots, augmented reality (AR) try-ons, and predictive analytics to create a more interactive and personalized shopping journey.
Additionally, machine learning enables businesses to optimize pricing strategies, inventory management, and targeted marketing campaigns. As a result, brands and retailers can provide highly relevant content, fostering greater trust and brand loyalty among consumers. This growing reliance on AI is revolutionizing social commerce by making it more intuitive, data-driven, and efficient. Furthermore, AI-driven automation in customer service reduces response times and enhances user satisfaction, making the entire shopping experience seamless. With AI advancements continuing to evolve, its integration into social commerce platforms is expected to further drive market growth.
Restraint:
Rising Privacy Concerns and Data Security Issues Hamper the Growth of the Social Commerce Market
As social commerce platforms increasingly rely on consumer data for targeted marketing and personalization, privacy and data security concerns are escalating. Many users are becoming wary of how their personal information, shopping habits, and social interactions are being collected and utilized by companies. High-profile data breaches and misuse of consumer data have raised alarms, prompting stricter regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). These regulations impose limitations on how businesses can collect and process user data, potentially restricting their ability to provide highly personalized shopping experiences.
Additionally, rising cyber threats, including phishing attacks and fraudulent transactions, further exacerbate security concerns. As a result, platforms must invest heavily in robust cybersecurity measures and transparent data policies to retain consumer trust. Addressing these privacy concerns while maintaining seamless personalization remains a significant challenge for the continued growth of the social commerce market.
Opportunities:
Expansion of Live Streaming Commerce Unlocks New Revenue Streams for the Social Commerce Market
Live streaming commerce is emerging as a game-changer in the social commerce industry, offering brands and influencers a dynamic way to engage consumers. This interactive shopping experience allows real-time product demonstrations, Q&A sessions, and exclusive deals, making purchasing decisions more spontaneous. Platforms like TikTok Shop, Taobao Live, and Instagram Live Shopping have seen significant traction, with millions of users participating in live sales events. The success of live commerce in China, where it contributes a substantial share of e-commerce revenue, is inspiring global adoption.
Moreover, the format encourages impulse buying and enhances consumer trust as they can see product usage in real time. Businesses leveraging live shopping gain access to a highly engaged audience, leading to increased conversion rates and higher average order values. As technology advances and internet penetration grows, live-streaming commerce presents an enormous opportunity for brands to create immersive shopping experiences and drive revenue.
Challenges:
Logistical Challenges and Fulfillment Complexities Create Bottlenecks in the Social Commerce Market
Despite its rapid growth, the social commerce market faces significant logistical and fulfillment challenges, particularly in ensuring timely and efficient delivery of products. Unlike traditional e-commerce platforms, many social commerce transactions involve small-scale sellers or independent influencers who may lack robust supply chain infrastructure. Issues such as inventory mismanagement, high return rates, and inconsistent shipping times can negatively impact customer satisfaction. Additionally, cross-border transactions pose further complexities, including customs regulations, international shipping costs, and delivery delays. With consumers demanding faster delivery and seamless order fulfillment, social commerce platforms must collaborate with third-party logistics providers or develop integrated supply chain solutions to streamline operations.
Moreover, ensuring product quality and authenticity remains a challenge, as many purchases are driven by user-generated content rather than direct brand interactions. Addressing these logistical hurdles is crucial for social commerce platforms to scale effectively and maintain consumer trust in an increasingly competitive market.
By Business Model
The business-to-consumer (B2C) segment held the largest revenue share of 55% in 2023, driven by the increasing adoption of social commerce platforms by major brands and retailers. Companies like Meta (Facebook, Instagram), TikTok, and WeChat have enhanced their B2C offerings by integrating seamless in-app shopping features, allowing businesses to directly engage with consumers.
For instance, TikTok Shop expanded its e-commerce capabilities in 2023, enabling brands to set up storefronts, showcase products via short videos, and execute live selling events. Similarly, Instagram introduced its AI-powered "Shop with Reels" feature, enhancing personalized product recommendations.
The growing trust in social commerce, coupled with secure payment gateways and AI-driven personalization, is further propelling B2C sales. As social commerce continues to evolve, brands are expected to expand their presence, enhancing user engagement and increasing revenue generation.
The consumer-to-consumer (C2C) segment is witnessing the highest growth, with a CAGR of 33.46%, fueled by the rise of peer-to-peer selling and the increasing preference for secondhand and handmade products. Platforms like Etsy, Poshmark, Xiaohongshu, and Meesho have driven this trend by enabling individuals to monetize their products through direct sales. The shift towards sustainable shopping and thrift culture has also contributed to the segment's rapid growth, with secondhand fashion gaining popularity on platforms like Depop and Facebook Marketplace. Social commerce’s interactive and community-driven nature is accelerating C2C transactions, as buyers rely on user-generated reviews, live demos, and influencer recommendations. With increasing trust in peer-led transactions, the C2C model is expected to further revolutionize the social commerce market.
By Product Type
The Apparel segment held the largest revenue share of 25% in 2023, driven by the increasing popularity of fashion-focused social commerce platforms and influencer-led marketing. Brands and retailers have capitalized on platforms like Instagram, TikTok, and Pinduoduo to showcase trendy, fast-fashion collections through short videos, live streaming, and user-generated content. The seamless in-app purchasing experience, combined with engaging content formats like shoppable reels, influencer collaborations, and live selling, continues to drive significant revenue in the apparel segment. As social commerce reshapes fashion retail, major brands are expected to expand their digital storefronts, driving even higher engagement and conversion rates.
The Personal & Beauty Care segment is experiencing the fastest growth, with a CAGR of 33.7%, fueled by the rise of beauty influencers, AR-driven try-on tools, and community-driven recommendations. Platforms like TikTok, Xiaohongshu, and Instagram have become major drivers for beauty brands, enabling direct engagement through tutorial videos, product reviews, and live commerce.
In 2023, Sephora expanded its “Sephora Live” shopping experience on Instagram, allowing beauty experts and influencers to showcase products in real time, boosting impulse purchases. Similarly, L’Oréal launched an AI-powered “Virtual Try-On” feature on TikTok, allowing users to test makeup shades before purchasing.
By Platform/Sales Channel
The Video Commerce (Live Stream + Prerecorded) segment dominated the social commerce market with a 42% revenue share in 2023, driven by the increasing adoption of interactive shopping experiences across platforms like TikTok Shop, Instagram Live, Taobao Live, and Facebook Live Shopping. Brands and influencers have leveraged real-time engagement, product demonstrations, and exclusive deals to boost conversions.
In 2023, Taobao Live introduced AI-powered real-time subtitles and automated product tagging, enhancing accessibility and seamless shopping experiences.
Pre-recorded shoppable videos have also gained traction, enabling users to make purchases without attending live sessions. The combination of immersive content, influencer-driven sales, and frictionless checkout has revolutionized online shopping, making video commerce a crucial driver of the social commerce boom. With advancements in AI, AR filters, and real-time engagement tools, video commerce is expected to continue transforming how brands connect with consumers, fostering deeper engagement and higher conversion rates in the digital retail landscape.
North America led the Social Commerce Market in 2023, holding an estimated 34% market share, driven by high social media penetration, strong e-commerce infrastructure, and widespread influencer marketing adoption. Platforms like Instagram, Facebook, TikTok, and Pinterest have integrated advanced shopping features, enabling seamless transactions.
In 2023, Meta expanded its in-app checkout for Instagram Shops, allowing brands to complete purchases without redirecting users.
Additionally, Amazon partnered with TikTok to introduce a shoppable feed, enhancing video-based commerce. The presence of top global brands and early adoption of live shopping events, such as Walmart’s live-stream sales on TikTok, further contributed to the region’s dominance. With high consumer trust in digital shopping and AI-driven personalization, North America remains the leading hub for social commerce innovation.
The Asia Pacific region is experiencing the fastest growth in Social Commerce, with an estimated CAGR of 33.2% in 2023, fueled by China, India, and Southeast Asia. China leads the market with platforms like Taobao Live, Xiaohongshu, and WeChat, where live-stream commerce has become a mainstream shopping method.
In 2023, Alibaba’s Taobao Live expanded AI-powered interactive shopping experiences, further driving engagement. India and Southeast Asia are also witnessing rapid adoption, with platforms like Meesho, Shopee, and TikTok Shop enabling social reselling and influencer-driven commerce.
The region’s growing smartphone penetration, preference for short-video content, and digital payment adoption have accelerated market expansion. Additionally, K-beauty and fashion brands leverage WeChat and Douyin to target young consumers. With increasing government support for digital commerce and rising internet users, Asia Pacific is set to become the global powerhouse for social commerce growth and innovation.
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Some of the major players in the Social Commerce Market are:
Etsy, Inc. (Etsy Marketplace, Etsy Pattern)
Fashnear Technologies Private Limited (Meesho) (Meesho Reselling Platform, Meesho Supplier Hub)
Meta Platforms, Inc. (Facebook) (Facebook Shops, Facebook Marketplace)
Pinduoduo Inc. (Pinduoduo Group Buying, Duoduo Live)
Pinterest, Inc. (Pinterest Shopping, Pinterest Idea Pins)
Poshmark (Poshmark Social Marketplace, Posh Shows)
Roposo (Roposo Live Commerce, Roposo Creator-led Shopping)
Snap, Inc. (Snapchat Spotlight, Snapchat AR Shopping)
Taobao (Taobao Live, Taobao Xinxuan)
TikTok (Douyin) (TikTok Shop, Douyin E-Commerce)
Trell Shop (Trell Shop Marketplace, Trell Creator Commerce)
Twitter, Inc. (Twitter Shops, Twitter Live Shopping)
WeChat (Weixin) (WeChat Mini Programs, WeChat Channels Commerce)
Xiaohongshu (Xiaohongshu Social Shopping, Xiaohongshu Livestream Commerce)
Yunji Sharing Technology Co., Ltd. (Yunji Membership E-Commerce, Yunji Social Group Buying)
In November 2024, Etsy's CEO, Josh Silverman, discussed challenges faced by small business owners and artists due to an influx of mass-produced goods on the platform. He suggested that creators share process videos to enhance visibility, following a policy update in July specifying levels of human involvement in product creation.
In May 2024, Meesho, a leading Indian social commerce platform with approximately 150 million transacting users, secured $275 million in a new funding round.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | US$ 935.48 Billion |
| Market Size by 2032 | US$ 10869.33 Billion |
| CAGR | CAGR of 31.4 % From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Business Model (Business to Consumer (B2C), Business to Business (B2B), Consumer to Consumer (C2C)) • By Product Type (Personal & Beauty Care, Apparels, Accessories, Home Products, Health Supplements, Food & Beverage, Others) • By Platform/Sales Channel (Video Commerce (Live stream + Prerecorded), Social Network-led Commerce, Social Reselling, Group Buying, Product Review Platforms) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Etsy, Inc., Fashnear Technologies Private Limited (Meesho), Meta Platforms, Inc. (Facebook), Pinduoduo Inc., Pinterest, Inc., Poshmark, Roposo, Snap, Inc., Taobao, TikTok (Douyin), Trell Shop, Twitter, Inc., WeChat (Weixin), Xiaohongshu, Yunji Sharing Technology Co., Ltd. |
Ans: The Social Commerce Market is expected to grow at a CAGR of 31.4% during 2024-2032.
Ans: The Social Commerce Market size was USD 935.48 billion in 2023 and is expected to Reach USD 10869.33 billion by 2032.
Ans: The major growth factor of the Social Commerce Market is the rising integration of AI-driven personalization, influencer marketing, and seamless in-app shopping experiences across social media platforms.
Ans: The business-to-consumer (B2C) segment dominated the Social Commerce Market.
Ans: North America dominated the Social Commerce Market in 2023.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Product Category Performance (2023)
5.2 Live Commerce Metrics (2023)
5.3 Payment and Checkout Behavior (2023)
5.4 Influencer and Creator Impact (2023)
5.5 Platform-Specific Statistics (2023)
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Social Commerce Market Segmentation, By Business Model
7.1 Chapter Overview
7.2 Business to Consumer (B2C)
7.2.1 Business to Consumer (B2C) Market Trends Analysis (2020-2032)
7.2.2 Business to Consumer (B2C) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Business to Business (B2B)
7.3.1 Business-to-Business (B2B) Market Trends Analysis (2020-2032)
7.3.2 Business-to-Business (B2B) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Consumer to Consumer (C2C)
7.4.1 Consumer to Consumer (C2C) Market Trends Analysis (2020-2032)
7.4.2 Consumer-to-Consumer (C2C) Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Social Commerce Market Segmentation, By Product Type
8.1 Chapter Overview
8.2 Personal & Beauty Care
8.2.1 Personal & Beauty Care Market Trends Analysis (2020-2032)
8.2.2 Personal & Beauty Care Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Apparels
8.3.1 Apparel Market Trends Analysis (2020-2032)
8.3.2 Apparel Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Accessories
8.4.1 Accessories Market Trends Analysis (2020-2032)
8.4.2 Accessories Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Home Products
8.5.1 Home Products Market Trends Analysis (2020-2032)
8.5.2 Home Products Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Health Supplements
8.6.1 Health Supplements Market Trends Analysis (2020-2032)
8.6.2 Health Supplements Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Food & Beverage
8.7.1 Food & Beverage Market Trends Analysis (2020-2032)
8.7.2 Food & Beverage Market Size Estimates and Forecasts to 2032 (USD Billion)
8.8 Others
8.8.1 Others Market Trends Analysis (2020-2032)
8.8.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Social Commerce Market Segmentation, By Platform/Sales Channel
9.1 Chapter Overview
9.2 Video Commerce (Live stream + Prerecorded)
9.2.1 Video Commerce (Live stream + Prerecorded) Market Trends Analysis (2020-2032)
9.2.2 Video Commerce (Live stream + Prerecorded) Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Social Network-led Commerce
9.3.1 Social Network-led Commerce Market Trends Analysis (2020-2032)
9.3.2 Social Network-led Commerce Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Social Reselling
9.4.1 Social Reselling Market Trends Analysis (2020-2032)
9.4.2 Social Reselling Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Group Buying
9.5.1 Group Buying Market Trends Analysis (2020-2032)
9.5.2 Group Buying Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Product Review Platforms
9.6.1 Product Review Platforms Market Trends Analysis (2020-2032)
9.6.2 Product Review Platforms Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Social Commerce Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.2.4 North America Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.2.5 North America Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.2.6.2 USA Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.2.6.3 USA Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.2.7.2 Canada Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.2.7.3 Canada Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.2.8.2 Mexico Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.2.8.3 Mexico Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Social Commerce Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.1.6.2 Poland Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.1.6.3 Poland Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.1.7.2 Romania Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.1.7.3 Romania Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Social Commerce Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.4 Western Europe Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.5 Western Europe Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.6.2 Germany Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.6.3 Germany Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.7.2 France Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.7.3 France Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.8.2 UK Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.8.3 UK Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.9.2 Italy Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.9.3 Italy Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.10.2 Spain Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.10.3 Spain Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.13.2 Austria Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.13.3 Austria Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Social Commerce Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.4 Asia Pacific Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.5 Asia Pacific Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.6.2 China Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.6.3 China Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.7.2 India Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.7.3 India Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.8.2 Japan Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.8.3 Japan Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.9.2 South Korea Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.9.3 South Korea Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.10.2 Vietnam Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.10.3 Vietnam Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.11.2 Singapore Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.11.3 Singapore Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.12.2 Australia Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.12.3 Australia Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Social Commerce Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.1.4 Middle East Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.1.5 Middle East Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.1.6.2 UAE Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.1.6.3 UAE Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Social Commerce Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.2.4 Africa Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.2.5 Africa Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Social Commerce Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.6.4 Latin America Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.6.5 Latin America Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.6.6.2 Brazil Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.6.6.3 Brazil Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.6.7.2 Argentina Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.6.7.3 Argentina Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.6.8.2 Colombia Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.6.8.3 Colombia Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Social Commerce Market Estimates and Forecasts, By Business Model (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Social Commerce Market Estimates and Forecasts, By Product Type (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Social Commerce Market Estimates and Forecasts, By Platform/Sales Channel (2020-2032) (USD Billion)
11. Company Profiles
11.1 Etsy, Inc.
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Fashnear Technologies Private Limited (Meesho)
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Meta Platforms, Inc. (Facebook)
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Pinduoduo Inc.
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Pinterest, Inc.
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Poshmark
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Roposo
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Snap, Inc.
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Taobao
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Trell Shop
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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