Recording a decent CAGR of 6.2%, the global customer-to-customer (C2C) community marketing software market is expected to garner US$ 2.8 Billion by the end of 2032. The market was valued at US$ 1.5 Billion in 2021. However, the revenue is expected to spike to US$ 1.6 Billion by 2022, reflecting a Y-o-Y growth of 6.6%.
The increasing popularity of e-commerce and the integration of AI in business models is expected to benefit the market in the coming time. Also, with rising awareness about its benefit, the industry is set to flourish in the assessment period.
| Attributes | Details |
|---|---|
| Customer-to-Customer (C2C) Community Marketing Software Market CAGR (2022 to 2032) | 6.2% |
| Customer-to-Customer (C2C) Community Marketing Software Market Size (2022) | US$ 1.6 Billion |
| Customer-to-Customer (C2C) Community Marketing Software Market Size (2032) | US$ 2.8 Billion |
With the expansion of public engagement, the importance of community engagement platforms has increased considerably. Moreover, with rising in smartphone adoption and the growth of social media across the globe, the market is likely to flourish significantly in the forthcoming period. Such software help ease the interaction of customers and business representatives, thus, benefitting the market in the forecast period.
Also, it assists customers in developing new relationships, surging sales, reducing service costs, and enhancing innovation. Also, with the integration of AI, the market is expected to exhibit various lucrative market opportunities. In addition, players in the market adopt various strategies to strengthen their position in the market.
For instance, Kennected, a firm that offers SaaS-based marketing software, announced that it was getting positive reviews from its customers on other platforms, other than Google. The firm uses LinkedIn to automate the process of generating leads. Owing to such factors, the market is projected to witness various growth prospects in the forecast period.
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The rapid expansion of e-commerce is expected to be the most significant factor driving the global C2C community marketing software market in the forecast period. With the rising popularity of online platforms such as eBay, Etsy, Amazon Marketplace, and others, the market is likely to flourish in the forthcoming period.
Benefits offered by C2C such as; the ability to list an item for sale without additional advertising, reduced marketing costs, and increased profitability among others are other factors fuelling the industry in the assessment period.
Increasing initiatives taken by the government across the globe are likely to benefit the market. For instance, in April 2022, Coal India Ltd. announced that it would launch its own e-auction platform.
The miner’s dedicated e-auction portal has been developed by National Informatics Centre and supported by CIL subsidiary Central Mine Planning & Design Institute. Such favorable initiatives are expected to benefit the C2C community marketing software market in the forecast period.
The increased popularity of online auctions has positively impacted the market. The popularity of online auctions can be attributed to the increasing need for automation in large-scale auctioning processes.
Owing to several benefits offered by online auctioning, such as; larger reach, more convenience, more buyers, and more cost-effectiveness, among others, are expected to propel the demand for efficient C2C community marketing software, thereby, benefitting the industry in the forecast period.
For instance, in May 2022, Norfolk, a city in Virginia, launched vacant property online auction program, selling vacant lots across the city. Such initiatives are expected to strengthen demand for C2C community marketing software and benefit the industry in the future.
Integration of artificial intelligence in the C2C community marketing software is likely to offer significant growth opportunities in the forecast period. With the application of AI-based data analytics and bots, sellers can identify potential buyers. This modern technology helps sellers to tailor their digital marketing campaigns and assure offer potential buyers.
Other benefits like cost-effectiveness, predictive, tirelessness, and others, are expected to offer various opportunities to the market in the future.
With the increasing partnerships and acquisitions by various players in the market, the industry is likely to flourish significantly. For instance, in April 2022, Trade X, a B2B cross-border automotive trading platform, announced that it had entered into a strategic partnership with Wholesale Express, a Canada-based online daily auction site that sells pre-owned cars to registered dealers in Ontario, Quebec, and Eastern Canada.
With the initiative, new solutions will be provided to customers and help in market expansion to the rest of Canada and the US.
In addition, with the rising number of startups, the industry is likely to witness various opportunities. For instance, in April 2022, a Nashville-based company, called Crank Farm, launched a social auction platform that focuses on cyclists who want to sell or buy performance bicycles. Similarly, Cars24, an Indian start-up, transformed the way consumers sell, buy, and finance used cars by leveraging technology.
In December 2021, the start-up raised US$ 400 million, including a US$ 300 million Series G equity round alongside a US$ 100 million in debt from various financial enterprises led by Alpha Wave Global at a valuation of US$ 3.3 billion. This will strengthen the foothold of the company in the Middle East, SE Asia, and Australia. Such expansionist strategies are expected to benefit the market in the forecast period.
Principal Consultant
Concerns associated with fraudulent activities in C2C marketing platforms are expected to be the major factor hampering the market growth in the forecast period. Expansion in the number of participants in an online auction has resulted in surged online crimes. Bid rigging is one of the major forms of fraud in online auctions.
Also, the quality of products sold through online auctions is another concern that is likely to hamper the industry growth in the forecast period. Online auctioneers post false images and untrue details about the product, which creates a fake impression in consumers’ minds. This is expected to hinder market expansion in the coming time.
However, with the implementation of stringent laws in various countries, the market is expected to witness a rise in the coming time. For instance, all consumer rights are applied when one shops with an Australian online business. Such initiatives are expected to act as a significant counter, thereby, supporting the market expansion in the forecast period.
Based on type, the cloud-based segment is anticipated to lead the market in the forecast period. As per the analysis, the type segment is anticipated to record a CAGR of 6.1% from 2022 to 2032.
The growth of the segment can be attributed to the increasing implementation of modern technologies such as; Artificial Intelligence, Machine Learning, and the growing shift of consumers towards cloud-based solutions. In addition, increasing investment by countries such as; the USA, the UK, China, and India are likely to make a notable contribution to driving the market during the assessment period.
Based on the application, the retail and e-commerce segment is expected to lead the market in the forecast period. The segment is anticipated to record a CAGR of 5.7% from 2022 to 2032.
The retail and e-commerce industry segment is anticipated to garner a significant market share in the forecast period. This can be attributed to the emergence of new players and the adoption of the modern e-commerce model. Also, increasing adoption of smartphones and penetration of the internet across the globe, especially in developing countries, the segment is predicted to flourish in the coming time.
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According to the analysis, North America is anticipated to dominate the global market. Among all, the US market is anticipated to lead the global market in the forecast period. As per the estimations, the regional market is projected to garner US$ 1 Billion by the end of 2032, while recording a CAGR of 6%.
The growth of the market can be attributed to the early adoption of cloud-based technologies and IoT in the States. Also, it is home to various established players, which is another important factor driving the market in the forecast period. Players such as; eBay, Etsy, and others are globally renowned players, making the regional market secure the largest market share in the forecast period.
With expansion strategies adopted by players, the regional market is anticipated to propel in the future. For instance, in, May 2022, eBay acquired stakes in Funko. With this initiative, it will expand its premium intellectual property and pop aesthetic into new content areas and it will also drive its Direct-to-Consumer (DTC) business. Such actions are projected to benefit the American market in the assessment period.
Asia Pacific is projected to be the fastest-growing market in the forecast period. As per the analysis, the market in APAC is principally influenced by developing nations such as; China, Japan, India, and South Korea. China is projected to expand at a growth rate of 5.6%, while Japan and South Korea have been estimated at 4.5% & 4% respectively.
With the presence of fast-developing countries, Asia Pacific is expected to flourish in the future. The increasing usage of AI in several digital technologies and the growing popularity of e-commerce across these nations have influenced the industry positively. Moreover, with the emergence of several startups, the market is likely to witness tremendous growth opportunities in the coming time. India has been identified as one of the most lucrative markets.
For instance, Spinny is a C2C platform that allows customers to discover cars online on its website and offer the final purchase at a Spinny Car Hub. Similarly, Droom, another startup in India, is an AI-based and data science-driven eCommerce platform for buying a used vehicle. Owing to such factors, the market in APAC is expected to witness significant growth in the coming time.
| Country | Estimated CAGR |
|---|---|
| USA | 6% |
| UK | 4.8% |
| China | 5.6% |
| Japan | 4.5% |
| South Korea | 4% |
Players in the market are focusing on expanding their reach across the globe through various strategies such as; acquisitions, partnerships, and product launches, among others. Some of the key players in the market include Meta, Bevy, LinkedIn Corporation, Tribe Technologies Inc., and Meetup Pro.
Recent key developments in the industry are:
The global customer-to-customer (C2C) community marketing software market is estimated at a market value of US$ 2.8 billion by 2032.
The USA market is anticipated at US$ 1 Billion by 2032
South Korea is predicted at a CAGR of 4% during the forecast period.
UK is expected at a market value of US$ 114.3 Million by 2032
The cloud-based segment is expected to record a CAGR of 6.1% by 2032
The retail and e-commerce segment is anticipated to exhibit a CAGR of 5.7% from 2022 to 2032
China is estimated at a market value of US$ 209.1 Million by 2032
Japan is expected to expand at a CAGR of 4.5% by 2032.
1. Executive Summary | Customer-To-Customer (C2C) Community Marketing Software Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Product Life Cycle Analysis 3.5. Investment Feasibility Matrix 3.6. PESTLE and Porter’s Analysis 3.7. Regulatory Landscape 3.7.1. By Key Regions 3.7.2. By Key Countries 3.8. Regional Parent Market Outlook 4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032 4.1. Historical Market Size Value (US$ Million) Analysis, 2017 to 2021 4.2. Current and Future Market Size Value (US$ Million) Projections, 2022 to 2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2017 to 2021 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2022 to 2032 5.3.1. On-Premises 5.3.2. Cloud-based 5.4. Y-o-Y Growth Trend Analysis By Type, 2017 to 2021 5.5. Absolute $ Opportunity Analysis By Type, 2022 to 2032 6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2017 to 2021 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2022 to 2032 6.3.1. Retail and E-commerce 6.3.2. Health and Life Sciences 6.3.3. BFSI 6.3.4. Transport and logistics 6.4. Y-o-Y Growth Trend Analysis By Application, 2017 to 2021 6.5. Absolute $ Opportunity Analysis By Application, 2022 to 2032 7. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Enterprise Size 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2017 to 2021 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2022 to 2032 7.3.1. Small and Medium Enterprises 7.3.2. Large Enterprises 7.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2017 to 2021 7.5. Absolute $ Opportunity Analysis By Enterprise Size, 2022 to 2032 8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2017 to 2021 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2022 to 2032 8.3.1. North America 8.3.2. Latin America 8.3.3. Europe 8.3.4. Asia Pacific 8.3.5. Middle East and Africa 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 9.2.1. By Country 9.2.1.1. United States of America 9.2.1.2. Canada 9.2.2. By Type 9.2.3. By Application 9.2.4. By Enterprise Size 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Type 9.3.3. By Application 9.3.4. By Enterprise Size 9.4. Key Takeaways 10. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Type 10.2.3. By Application 10.2.4. By Enterprise Size 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By Application 10.3.4. By Enterprise Size 10.4. Key Takeaways 11. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. Italy 11.2.1.3. France 11.2.1.4. United Kingdom 11.2.1.5. Russia 11.2.1.6. BENELUX 11.2.1.7. Rest of Europe 11.2.2. By Type 11.2.3. By Application 11.2.4. By Enterprise Size 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By Application 11.3.4. By Enterprise Size 11.4. Key Takeaways 12. Asia Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 12.2.1. By Country 12.2.1.1. China 12.2.1.2. Japan 12.2.1.3. South Korea 12.2.1.4. Rest of Asia Pacific 12.2.2. By Type 12.2.3. By Application 12.2.4. By Enterprise Size 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By Application 12.3.4. By Enterprise Size 12.4. Key Takeaways 13. Middle East and Africa Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 13.2.1. By Country 13.2.1.1. GCC Countries 13.2.1.2. South Africa 13.2.1.3. Turkey 13.2.1.4. Rest of Middle East and Africa 13.2.2. By Type 13.2.3. By Application 13.2.4. By Enterprise Size 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Type 13.3.3. By Application 13.3.4. By Enterprise Size 13.4. Key Takeaways 14. Key Countries Market Analysis 14.1. United States of America 14.1.1. Pricing Analysis 14.1.2. Market Share Analysis, 2021 14.1.2.1. By Type 14.1.2.2. By Application 14.1.2.3. By Enterprise Size 14.2. Canada 14.2.1. Pricing Analysis 14.2.2. Market Share Analysis, 2021 14.2.2.1. By Type 14.2.2.2. By Application 14.2.2.3. By Enterprise Size 14.3. Brazil 14.3.1. Pricing Analysis 14.3.2. Market Share Analysis, 2021 14.3.2.1. By Type 14.3.2.2. By Application 14.3.2.3. By Enterprise Size 14.4. Mexico 14.4.1. Pricing Analysis 14.4.2. Market Share Analysis, 2021 14.4.2.1. By Type 14.4.2.2. By Application 14.4.2.3. By Enterprise Size 14.5. Germany 14.5.1. Pricing Analysis 14.5.2. Market Share Analysis, 2021 14.5.2.1. By Type 14.5.2.2. By Application 14.5.2.3. By Enterprise Size 14.6. Italy 14.6.1. Pricing Analysis 14.6.2. Market Share Analysis, 2021 14.6.2.1. By Type 14.6.2.2. By Application 14.6.2.3. By Enterprise Size 14.7. France 14.7.1. Pricing Analysis 14.7.2. Market Share Analysis, 2021 14.7.2.1. By Type 14.7.2.2. By Application 14.7.2.3. By Enterprise Size 14.8. United Kingdom 14.8.1. Pricing Analysis 14.8.2. Market Share Analysis, 2021 14.8.2.1. By Type 14.8.2.2. By Application 14.8.2.3. By Enterprise Size 14.9. Russia 14.9.1. Pricing Analysis 14.9.2. Market Share Analysis, 2021 14.9.2.1. By Type 14.9.2.2. By Application 14.9.2.3. By Enterprise Size 14.10. BENELUX 14.10.1. Pricing Analysis 14.10.2. Market Share Analysis, 2021 14.10.2.1. By Type 14.10.2.2. By Application 14.10.2.3. By Enterprise Size 14.11. China 14.11.1. Pricing Analysis 14.11.2. Market Share Analysis, 2021 14.11.2.1. By Type 14.11.2.2. By Application 14.11.2.3. By Enterprise Size 14.12. Japan 14.12.1. Pricing Analysis 14.12.2. Market Share Analysis, 2021 14.12.2.1. By Type 14.12.2.2. By Application 14.12.2.3. By Enterprise Size 14.13. South Korea 14.13.1. Pricing Analysis 14.13.2. Market Share Analysis, 2021 14.13.2.1. By Type 14.13.2.2. By Application 14.13.2.3. By Enterprise Size 14.14. GCC Countries 14.14.1. Pricing Analysis 14.14.2. Market Share Analysis, 2021 14.14.2.1. By Type 14.14.2.2. By Application 14.14.2.3. By Enterprise Size 14.15. South Africa 14.15.1. Pricing Analysis 14.15.2. Market Share Analysis, 2021 14.15.2.1. By Type 14.15.2.2. By Application 14.15.2.3. By Enterprise Size 14.16. Turkey 14.16.1. Pricing Analysis 14.16.2. Market Share Analysis, 2021 14.16.2.1. By Type 14.16.2.2. By Application 14.16.2.3. By Enterprise Size 15. Market Structure Analysis 15.1. Competition Dashboard 15.2. Competition Benchmarking 15.3. Market Share Analysis of Top Players 15.3.1. By Regional 15.3.2. By Type 15.3.3. By Application 15.3.4. By Enterprise Size 16. Competition Analysis 16.1. Competition Deep Dive 16.1.1. LinkedIn Corporation 16.1.1.1. Overview 16.1.1.2. Product Portfolio 16.1.1.3. Profitability by Market Segments 16.1.1.4. Sales Footprint 16.1.1.5. Strategy Overview 16.1.1.5.1. Marketing Strategy 16.1.2. Meta 16.1.2.1. Overview 16.1.2.2. Product Portfolio 16.1.2.3. Profitability by Market Segments 16.1.2.4. Sales Footprint 16.1.2.5. Strategy Overview 16.1.2.5.1. Marketing Strategy 16.1.3. Tribe Technologies Inc. 16.1.3.1. Overview 16.1.3.2. Product Portfolio 16.1.3.3. Profitability by Market Segments 16.1.3.4. Sales Footprint 16.1.3.5. Strategy Overview 16.1.3.5.1. Marketing Strategy 16.1.4. Bevy 16.1.4.1. Overview 16.1.4.2. Product Portfolio 16.1.4.3. Profitability by Market Segments 16.1.4.4. Sales Footprint 16.1.4.5. Strategy Overview 16.1.4.5.1. Marketing Strategy 16.1.5. Meetup Pro 16.1.5.1. Overview 16.1.5.2. Product Portfolio 16.1.5.3. Profitability by Market Segments 16.1.5.4. Sales Footprint 16.1.5.5. Strategy Overview 16.1.5.5.1. Marketing Strategy 16.1.6. Google 16.1.6.1. Overview 16.1.6.2. Product Portfolio 16.1.6.3. Profitability by Market Segments 16.1.6.4. Sales Footprint 16.1.6.5. Strategy Overview 16.1.6.5.1. Marketing Strategy 17. Assumptions & Acronyms Used 18. 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Customer-To-Customer (C2C) Community Marketing Software Market
