[250 Pages Report] Newly released Real-time Bidding Market analysis report by Future Market Insights shows that global sales of Real-time Bidding Market in 2021 was held at US$ 11.8 Billion. With 19.8% projected growth, the market is expected reach a valuation of US$ 95.2 Billion by 2032.
| Attributes | Details |
|---|---|
| Global Real-time Bidding Market Size (2022) | US$ 15.6 Billion |
| Global Real-time Bidding Market Size (2032) | US$ 95.2 Billion |
| Global Real-time Bidding Market CAGR (2022 to 2032) | 19.8% |
| USA Real-time Bidding Market Size (2032) | US$ 27.2 Billion |
| Key Companies Profiled |
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Media and Entertainment is expected to be the highest revenue-generating category, projected to register a CAGR of 17.9% during 2022 to 2032.
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As per the Real-time Bidding Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2017 to 2021, market value of the Real-time Bidding Market increased at around 32.5% CAGR.
Bidding is becoming increasingly popular in a variety of fields. Online bidding, on the other hand, is now a secure process. The RTB industry is anticipated to generate huge returns during the projected timeframe. Additionally, the widespread use of smartphones is a strong motivator for bidding. Individuals and businesses alike are striving for the opportunity to make money online. For several e-Commerce businesses, money invested in marketing solutions is a pointless exercise.
At any time, multiple marketers can bid on a single perception of a publisher's inventory, with the winning ad displayed to the user. Advertisers can fine-tune their targeting and concentrate on the inventory that is most relevant to them by using RTB. As a result, ROI and eCPMs increase. Advertisers can modify campaign budgets in real-time to improve campaign performance.
Considering a mobile game where the player must watch an advertisement in order to progress through the levels, the scope of the market is enormous. The mobile SSP will then hold an auction for all advertisers who want to show an ad to that player. Advertisers submit bids, and the highest bidder is chosen immediately. The advertisement is then displayed to the player. Advertisers using RTB can easily monitor their campaigns without having to rely on vendors. There is no need to contact multiple publishers when the DSP can provide reports. Marketers can also quickly pivot if a campaign fails to perform well.
Google and other websites process and transfer people's data billions of times per day through the use of the Real-time Bidding system for monitoring and ad targeting. RTB is a type of background technology that is used by websites and apps. It records everything people see and do, irrespective of the level of privacy. Everyday it sends this information to a number of companies, allowing them to profile visitors.
RTB is an innovative and interesting business model for online computational marketing in the era of big data. RTB advertising has the potential to identify the characteristics and traits of the target audience in real time in each ad impression, automatically delivering best-matched ads and optimising their prices through an auction-based programmatic buying scheme based on analysis of massive amounts of cookie data generated by Internet users. RTB stands out from other traditional online advertising trends like "media buying" and "ad-slot buying," and it is expected to become the industry standard in the near future.
The inventory of some OTT and CTV content publishers may not be monetized. Real-time bidding is an opportunity for them to capitalise on this. They only need information about different audiences. Besides, real-time bidding increases the value of remnant inventory for more than 40% of publishers.
RTB auctions enable users to specifically target audiences in the right context and at the right time. Using cookie matching, marketing experts purchase the publisher's niche audiences. The system evaluates audience segments and creates the target group profile using first- and third-party data. This method identifies the fields that require the most attention.
Since real-time bidding technology is compatible with tracking systems, publishers can evaluate campaign statistics and make necessary changes. Profitability can be increased while control is maintained.
RTB makes it possible to identify the most profitable inventory segments in order to maximize revenue. This is critical when publishers decide to sell their inventory to users via supply-side platforms. After determining the inventory costs and the most in-demand parts, publishers can sell the stock to the appropriate audiences at the most advantageous prices.
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North America is the most lucrative region with a double-digit projected growth. RTB is not only popular in US but also in Canada and Mexico. However, RTB was a late adopter in Canada, but since it made a significant market impact during the year 2012, advertisers have become increasingly drawn to the technology's numerous benefits. RTB has grown in popularity in Canada in recent years as a result of expanded content options fuelled by increased supply side involvement. Their popularity and momentum of adoption in the Canadian market are increasing as larger media ownership structures establish their own trading desks.
RTB market in Canada has continued to grow, with double-digit growth. Despite early adopters in the brand marketing space, RTB has been primarily viewed as a performance marketing service.
The United States is expected to account for the highest market share of US$ 32.6 Bn by 2032 accounting for 35% of global sales. People's media consumption has increased globally as a result of their ownership of multiple electronic devices. Sales of electronic appliances such as smartphones, tablets, televisions, notebook computers, and PCs are being driven by rising disposable income and a growing middle-class population. As a result of the increased use of electronic devices and internet penetration, users are spending more time watching online videos, which is driving media consumption.
The US had around 298 Mn smartphone users in 2021, making it one of the world's largest smartphone markets. Mobile phone penetration in the United States has steadily increased over the years, in line with the global growth of the smartphone business. As the market recovers from the effects of the Covid-19, revenue from smartphone sales is expected to exceed US$ 75 Bn by 2022. This will be a huge contributor to the growth of RTB in United States.
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Real-time Bidding (RTB) in Media and Entertainment is forecasted to grow at the highest CAGR of over 17.9% during 2022-2032. Digital media is distinguished from other forms of media as it can be quantified. The impression, click, app signup, and website purchase of each user can all be tracked.
A second feature is the online accessibility of targeting capabilities. No other news outlet even gets near to the capabilities of digital media. There are an infinite number of targeting parameters from which to choose. These targeting parameters are classified as demographic, interest-based, and behavioral. 'Demographic' targeting includes age, gender, and location. Interest-based targeting is associated with the character, choices, and interests of the customer. This method corresponds more closely to the conceptual psychographic targeting criteria.
The Open Auction segment is forecasted to grow at the highest CAGR of over 17.3% during 2022-2032. An open marketplace determines inventory prices through an auction in which any publisher or advertiser can participate. Publishers essentially make their media inventory available in an ad exchange for a set minimum cost per thousand (CPM Real time Bidding), and advertisers compete for the available media. The impressions are awarded to the highest bidder. Open auctions may be the most cost-effective way to acquire media while reaching the broadest possible audience.
The Key Real Time Bidding Market Players include Google, WPP, Adobe, Criteo, Facebook. To gain a competitive advantage in the industry, these key players in the Real-time Bidding Market are investing in product launches, partnerships, mergers and acquisitions, and expansions.
Some of the key recent developments in the real-time bidding market include the following:
Similarly, recent developments related to Real-time Bidding companies have been tracked by the team at Future Market Insights, which are available in the full report.
The global Real-time Bidding Market is worth more than US$ 11.8 Bn at present.
The value of Real-time Bidding Market is projected to increase at a CAGR of around 19.8% during 2022 – 2032.
The value of the Real-time Bidding Market increased at a CAGR of around 32.5% during 2017 – 2021.
The increased activities relating to software development, website designing, AI and ML, stands as the key trend shaping the Real-time Bidding market.
The market for Real-time Bidding in the US is projected to expand at a CAGR of around 19.6% during 2022 – 2032.
1. Executive Summary 1.1. Global Market Outlook 1.2. Summary of Statistics 1.3. Key Market Characteristics & Attributes 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage 2.2. Market Definition 3. Market Risks and Trends Assessment 3.1. Risk Assessment 3.1.1. COVID-19 Crisis and Impact on Market 3.1.2. COVID-19 Impact Benchmark with Previous Crisis 3.1.3. Impact on Market Value (US$ Mn) 3.1.4. Assessment by Key Countries 3.1.5. Assessment by Key Market Segments 3.1.6. Action Points and Recommendation for Suppliers 3.2. Key Trends Impacting the Market 3.3. Formulation and Product Development Trends 4. Market Background 4.1. Market, By Key Countries 4.2. Market Opportunity Assessment (US$ Mn) 4.2.1. Total Available Market 4.2.2. Serviceable Addressable Market 4.2.3. Serviceable Obtainable Market 4.3. Market Scenario Forecast 4.3.1. Demand in optimistic Scenario 4.3.2. Demand in Likely Scenario 4.3.3. Demand in Conservative Scenario 4.4. Investment Feasibility Analysis 4.4.1. Investment in Established Markets 4.4.1.1. In Short Term 4.4.1.2. In Long Term 4.4.2. Investment in Emerging Markets 4.4.2.1. In Short Term 4.4.2.2. In Long Term 4.5. Forecast Factors - Relevance & Impact 4.5.1. Top Companies Historical Growth 4.5.2. Growth in Automation, By Country 4.5.3. Market Adoption Rate, By Country 4.6. Market Dynamics 4.6.1. Market Driving Factors and Impact Assessment 4.6.2. Prominent Market Challenges and Impact Assessment 4.6.3. Market Opportunities 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment 5. Key Success Factors 5.1. Manufacturers’ Focus on Low Penetration High Growth Markets 5.2. Banking on with Segments High Incremental Opportunity 5.3. Peer Benchmarking 6. Global Market Demand Analysis 2015-2021 and Forecast, 2022-2032 6.1. Historical Market Analysis, 2015-2021 6.2. Current and Future Market Projections, 2022-2032 6.3. Y-o-Y Growth Trend Analysis 7. Global Market Value Analysis 2015-2021 and Forecast, 2022-2032 7.1. Historical Market Value (US$ Mn) Analysis, 2015-2021 7.2. Current and Future Market Value (US$ Mn) Projections, 2022-2032 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute $ Opportunity Analysis 8. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Application 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Mn) Analysis By Application , 2015-2021 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Application , 2022-2032 8.3.1. Media and entertainment 8.3.2. Games 8.3.3. Retail and eCommerce 8.3.4. Travel and luxury 8.3.5. Mobile apps 8.3.6. Others (Telecom, Education, BFSI, Music, Social and Politics) 8.4. Market Attractiveness Analysis By Application 9. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Auction 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Mn) Analysis By Auction, 2015-2021 9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Auction, 2022-2032 9.3.1. Open Auction 9.3.2. Invited Auction 9.4. Market Attractiveness Analysis By Auction 10. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Ad Format 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ Mn) Analysis By Ad Format, 2015-2021 10.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Ad Format, 2022-2032 10.3.1. RTB Image 10.3.2. RTB Video 10.4. Market Attractiveness Analysis By Ad Format 11. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Device 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ Mn) Analysis By Device, 2015-2021 11.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Device, 2022-2032 11.3.1. Mobiles 11.3.2. Desktops 11.3.3. Others (Laptops and Tablets) 11.4. Market Attractiveness Analysis By Device 12. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Region 12.1. Introduction 12.2. Historical Market Size (US$ Mn) Analysis By Region, 2015-2021 12.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2022-2032 12.3.1. North America 12.3.2. Latin America 12.3.3. Europe 12.3.4. Asia Pacific 12.3.5. Middle East and Africa (MEA) 12.4. Market Attractiveness Analysis By Region 13. North America Market Analysis 2015-2021 and Forecast 2022-2032 13.1. Introduction 13.2. Pricing Analysis 13.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 13.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 13.4.1. By Country 13.4.1.1. U.S. 13.4.1.2. Canada 13.4.1.3. Rest of North America 13.4.2. By Application 13.4.3. By Auction 13.4.4. By Device 13.4.5. By Ad Format 13.5. Market Attractiveness Analysis 13.5.1. By Country 13.5.2. By Application 13.5.3. By Auction 13.5.4. By Device 13.5.5. By Ad Format 14. Latin America Market Analysis 2015-2021 and Forecast 2022-2032 14.1. Introduction 14.2. Pricing Analysis 14.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 14.4.1. By Country 14.4.1.1. Brazil 14.4.1.2. Mexico 14.4.1.3. Rest of Latin America 14.4.2. By Application 14.4.3. By Auction 14.4.4. By Device 14.4.5. By Ad Format 14.5. Market Attractiveness Analysis 14.5.1. By Country 14.5.2. By Application 14.5.3. By Auction 14.5.4. By Device 14.5.5. By Ad Format 15. Europe Market Analysis 2015-2021 and Forecast 2022-2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 15.4.1. By Country 15.4.1.1. Germany 15.4.1.2. France 15.4.1.3. U.K. 15.4.1.4. Italy 15.4.1.5. Benelux 15.4.1.6. Nordic Countries 15.4.1.7. Rest of Europe 15.4.2. By Application 15.4.3. By Auction 15.4.4. By Device 15.4.5. By Ad Format 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Application 15.5.3. By Auction 15.5.4. By Device 15.5.5. By Ad Format 16. Asia Pacific Market Analysis 2015-2021 and Forecast 2022-2032 16.1. Introduction 16.2. Pricing Analysis 16.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 16.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 16.4.1. By Country 16.4.1.1. China 16.4.1.2. Japan 16.4.1.3. South Korea 16.4.1.4. Rest of Asia Pacific 16.4.2. By Application 16.4.3. By Auction 16.4.4. By Device 16.4.5. By Ad Format 16.5. Market Attractiveness Analysis 16.5.1. By Country 16.5.2. By Application 16.5.3. By Auction 16.5.4. By Device 16.5.5. By Ad Format 17. Middle East and Africa Market Analysis 2015-2021 and Forecast 2022-2032 17.1. Introduction 17.2. Pricing Analysis 17.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 17.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 17.4.1. By Country 17.4.1.1. GCC Countries 17.4.1.2. South Africa 17.4.1.3. Turkey 17.4.1.4. Rest of Middle East and Africa 17.4.2. By Application 17.4.3. By Auction 17.4.4. By Device 17.4.5. By Ad Format 17.5. Market Attractiveness Analysis 17.5.1. By Country 17.5.2. By Application 17.5.3. By Auction 17.5.4. By Device 17.5.5. By Ad Format 18. Key Countries Market Analysis 2015-2021 and Forecast 2022-2032 18.1. Introduction 18.1.1. Market Value Proportion Analysis, By Key Countries 18.1.2. Global Vs. Country Growth Comparison 18.2. US Market Analysis 18.2.1. Value Proportion Analysis by Market Taxonomy 18.2.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.2.2.1. By Application 18.2.2.2. By Auction 18.2.2.3. By Device 18.2.2.4. By Ad Format 18.3. Canada Market Analysis 18.3.1. Value Proportion Analysis by Market Taxonomy 18.3.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.3.2.1. By Application 18.3.2.2. By Auction 18.3.2.3. By Device 18.3.2.4. By Ad Format 18.4. Mexico Market Analysis 18.4.1. Value Proportion Analysis by Market Taxonomy 18.4.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.4.2.1. By Application 18.4.2.2. By Auction 18.4.2.3. By Device 18.4.2.4. By Ad Format 18.5. Brazil Market Analysis 18.5.1. Value Proportion Analysis by Market Taxonomy 18.5.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.5.2.1. By Application 18.5.2.2. By Auction 18.5.2.3. By Device 18.5.2.4. By Ad Format 18.6. Germany Market Analysis 18.6.1. Value Proportion Analysis by Market Taxonomy 18.6.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.6.2.1. By Application 18.6.2.2. By Auction 18.6.2.3. By Device 18.6.2.4. By Ad Format 18.7. France Market Analysis 18.7.1. Value Proportion Analysis by Market Taxonomy 18.7.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.7.2.1. By Application 18.7.2.2. By Auction 18.7.2.3. By Device 18.7.2.4. By Ad Format 18.8. Italy Market Analysis 18.8.1. Value Proportion Analysis by Market Taxonomy 18.8.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.8.2.1. By Application 18.8.2.2. By Auction 18.8.2.3. By Device 18.8.2.4. By Ad Format 18.9. BENELUX Market Analysis 18.9.1. Value Proportion Analysis by Market Taxonomy 18.9.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.9.2.1. By Application 18.9.2.2. By Auction 18.9.2.3. By Device 18.9.2.4. By Ad Format 18.10. UK Market Analysis 18.10.1. Value Proportion Analysis by Market Taxonomy 18.10.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.10.2.1. By Application 18.10.2.2. By Auction 18.10.2.3. By Device 18.10.2.4. By Ad Format 18.11. Nordic Countries Market Analysis 18.11.1. Value Proportion Analysis by Market Taxonomy 18.11.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.11.2.1. By Application 18.11.2.2. By Auction 18.11.2.3. By Device 18.11.2.4. By Ad Format 18.12. China Market Analysis 18.12.1. Value Proportion Analysis by Market Taxonomy 18.12.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.12.2.1. By Application 18.12.2.2. By Auction 18.12.2.3. By Device 18.12.2.4. By Ad Format 18.13. Japan Market Analysis 18.13.1. Value Proportion Analysis by Market Taxonomy 18.13.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.13.2.1. By Application 18.13.2.2. By Auction 18.13.2.3. By Device 18.13.2.4. By Ad Format 18.14. South Korea Market Analysis 18.14.1. Value Proportion Analysis by Market Taxonomy 18.14.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.14.2.1. By Application 18.14.2.2. By Auction 18.14.2.3. By Device 18.14.2.4. By Ad Format 18.15. GCC Countries Market Analysis 18.15.1. Value Proportion Analysis by Market Taxonomy 18.15.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.15.2.1. By Application 18.15.2.2. By Auction 18.15.2.3. By Device 18.15.2.4. By Ad Format 18.16. South Africa Market Analysis 18.16.1. Value Proportion Analysis by Market Taxonomy 18.16.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.16.2.1. By Application 18.16.2.2. By Auction 18.16.2.3. By Device 18.16.2.4. By Ad Format 18.17. Turkey Market Analysis 18.17.1. Value Proportion Analysis by Market Taxonomy 18.17.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.17.2.1. By Application 18.17.2.2. By Auction 18.17.2.3. By Device 18.17.2.4. By Ad Format 18.17.3. Competition Landscape and Player Concentration in the Country 19. Market Structure Analysis 19.1. Market Analysis by Tier of Companies 19.2. Market Concentration 19.3. Market Share Analysis of Top Players 19.4. Market Presence Analysis 19.4.1. By Regional footprint of Players 19.4.2. Product footprint by Players 20. Competition Analysis 20.1. Competition Dashboard 20.2. Competition Benchmarking 20.3. Competition Deep Dive 20.3.1. Google 20.3.1.1. Overview 20.3.1.2. Product Portfolio 20.3.1.3. Sales Footprint 20.3.1.4. Strategy Overview 20.3.2. WPP 20.3.2.1. Overview 20.3.2.2. Product Portfolio 20.3.2.3. Sales Footprint 20.3.2.4. Strategy Overview 20.3.3. Adobe 20.3.3.1. Overview 20.3.3.2. Product Portfolio 20.3.3.3. Sales Footprint 20.3.3.4. Strategy Overview 20.3.4. Criteo 20.3.4.1. Overview 20.3.4.2. Product Portfolio 20.3.4.3. Sales Footprint 20.3.4.4. Strategy Overview 20.3.5. Facebook 20.3.5.1. Overview 20.3.5.2. Product Portfolio 20.3.5.3. Sales Footprint 20.3.5.4. Strategy Overview 20.3.6. Smaato 20.3.6.1. Overview 20.3.6.2. Product Portfolio 20.3.6.3. Sales Footprint 20.3.6.4. Strategy Overview 20.3.7. Yandex 20.3.7.1. Overview 20.3.7.2. Product Portfolio 20.3.7.3. Sales Footprint 20.3.7.4. Strategy Overview 20.3.8. PubMatic 20.3.8.1. Overview 20.3.8.2. Product Portfolio 20.3.8.3. Sales Footprint 20.3.8.4. Strategy Overview 20.3.9. Salesforce 20.3.9.1. Overview 20.3.9.2. Product Portfolio 20.3.9.3. Sales Footprint 20.3.9.4. Strategy Overview 20.3.10. Rubicon Project 20.3.10.1. Overview 20.3.10.2. Product Portfolio 20.3.10.3. Sales Footprint 20.3.10.4. Strategy Overview 20.3.11. MediaMath 20.3.11.1. Overview 20.3.11.2. Product Portfolio 20.3.11.3. Sales Footprint 20.3.11.4. Strategy Overview 20.3.12. MoPub 20.3.12.1. Overview 20.3.12.2. Product Portfolio 20.3.12.3. Sales Footprint 20.3.12.4. Strategy Overview 20.3.13. AppNexus 20.3.13.1. Overview 20.3.13.2. Product Portfolio 20.3.13.3. Sales Footprint 20.3.13.4. Strategy Overview 20.3.14. Platform One 20.3.14.1. Overview 20.3.14.2. Product Portfolio 20.3.14.3. Sales Footprint 20.3.14.4. Strategy Overview 20.3.15. Verizon Media 20.3.15.1. Overview 20.3.15.2. Product Portfolio 20.3.15.3. Sales Footprint 20.3.15.4. Strategy Overview 21. Assumptions and Acronyms Used 22. Research Methodology
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Real-time Bidding Market
