Welcome!

@BigDataExpo Authors: Elizabeth White, Dana Gardner, Pat Romanski, Liz McMillan, Rishi Bhargava

News Feed Item

Video Ad Tech Systems: Inventory Clearing, Trafficking, Spend and Business Operations Analytics: 2014 - 2016

NEW YORK, Feb. 6, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Video Ad Tech Systems: Inventory Clearing, Trafficking, Spend and Business Operations Analytics: 2014 – 2016

http://www.reportlinker.com/p02005751/Video-Ad-Tech-Systems-Inventory-Clearing-Trafficking-Spend-and-Business-Operations-Analytics-2014-–-2016.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Advertising

The report, Video Ad Tech Systems: Inventory Clearing, Trafficking, Spend and Business Operations Analytics: 2014 – 2016, delivers a segment-by-segment portrait of the sector's economic fundamentals, growth trajectories, media CPMs, serving CPMs, formats supported, business models and marginal performance yielding net revenue.

Each segment (video ad networks, trafficking platforms and programmatic technologies) is analyzed against monthly and annual unduplicated inventory, sources of supply and demand, percentage of spend by format (in-stream, in-banner, display and overlay), including domestic and international undertakings.

Video ad networks cleared 17.2% of video spend, trafficking platforms delivered the equivalent of 55.9% of sector share, and programmatic systems handled 26.9%.

The digital video advertising industry's roaring momentum toward workflow efficiency and big data utilization--enriching inventory transparency and audience demographics--has resulted in a marketplace rapidly closing the monetization gap across the video ad tech ecosystem, synchronizing inventory and media spend growth.

As buyers increasingly adopt a range of programmatic tools to better manage cross-platform demand, publishers are responding with selling tools and issuing RFP's that address complex criterions for desirable automated trading outcomes.

The digital video advertising sector is poised to return $4.4 billion in total net revenue (excluding AOL/Adap.tv and Google's properties) by year-end 2016.

The Q & A Forums are important complements to this data-rich study, with insights tendered by the sector's foremost innovators: Adobe Primetime, BlackArrow, Blinkx, BrightRoll, Collective, FreeWheel, LiveRail, Martini, DG/MediaMind, Mixpo, SET Media, Rocket Fuel, SpotXChange, Videology, Vindico, Visible Measures, YuMe, Inc. and others.

"This concentrated inventory, spend, business operations and sector analytics report is an investment vehicle for agencies, brands, publishers, operators, consulting practices, tech media services firms, VCs and investment banks," commented research director Paul A. Palumbo.

TABLE of CONTENTS

EXECUTIVE SUMMARY 1

Efficiency and Confidence: the Market Is Optimizing Against Audience

Demographics, Screen Device and Impression Transparency 1

Inventory Management, Trafficking and Media Clearing Ecosystem Fundamentals 2014 – 2016 1

Digital Video Advertising Ecosystem 2

Digital Video Ad Spend Share by Tech Platform 2013 3

Digital Video Ad Spend: 2008 – 2016 4

Digital Video Ad Spend by Tech Sector: 2013 5

Aggregated Inventory and Media Spend Annual Percentage Change: 2008 – 2013 6

Digital Video Advertising Ecosystem: Net Revenue by Segment (Post Publisher Payouts,

and Including All Platform Related Fees) Reveals Programmatic Strength in 2013 7

Digital Video Ad Clearing and Trafficking Ecosystem: Market Net Revenue Share

by Technology Segment 2008 - 2016 8

DIGITAL VIDEO ADVERTISING TERMINOLOGY and DEFINITIONS 9

INTRODUCTION TO THE DIGITAL VIDEO ADVERTISING ECOSYSTEM 2014 - 2016 15

Efficiency and confidence: the Market Is Optimizing against Audience Demographics, Screen Device and Impression Transparency 15Inventory Management, Trafficking and Media Clearing Ecosystem Fundamentals2014 - 2016 15Video Ad Spend Summary Totals by Ad Clearing and Trafficking Segment: Unduplicated Spend Analysis 2008 - 2013 19Video Spend Economics and GRP Economies: Screen Depth Creates More Views, Greater Reach and In-Stream Inventory, Combined with Data-Enhanced Audience/Impression Analytics Brand Advertisers Want 20Rise of the Machines: Programmatic Systems Touch 27% of Digital Video Spend in 2013, Going Higher in 2014 – 2016 as Publishers Respond to Multi-Platform Buyers 21Video Ad Serving/Impression Outcomes/Dynamic Creative/Campaign Management 24IP-Based Authenticated Sign-In is Here, Though Currently a Makeshift Reality: Usage, Present and Future Video Spend Indicators 24Video CPMs: the Yin and Yang of Big Data, the Cross-Platform Inventory Surge, Greater Audience and Impression Transparency 26Business Operations and Topline Revenue Recognition; Calculation of Unduplicated Video Ad Spend and Post Publisher Payout "Net" Revenue 26Video Ad Networks, Tech/Trafficking Platforms, Auctions, Exchanges and RTBs Enable $7.2 Billion in 2013 Video Spend 27Summary Totals by Ad Clearing, Trafficking Segment: Video Spend Estimates and Analysis 2008 - 2013 with Forecasts through 2016 30Video Inventory/Spend Conclusion: Workflow, Management, Trafficking, Clearing, Audience and Impression Systems plus Data Analytics are in Fact Creating Greater Market Efficiencies 31A Thriving Ecosystem: Market Entrants, Positions, Technologies and Areas of Solutions Specialization 36Video Advertising Networks, Ad Serving Platforms, Auctions, Exchanges, RTBs, Bidding Management, SSPs and DSPs: 2014 36Video Advertising Networks/Platforms: 2014 39Video Ad Trafficking Platforms: 2014 39Video Auctions, Exchanges, RTBs, Bid Management Platforms, Data Science: 2014 40The Video Advertising Ecosystem 2014: Market Positions and Business Models 41Video Advertising Networks, Ad Trafficking, Bid Management Platforms, Auctions, Exchanges, RTBs, SSPs and DSPs: Inventory Pricing and Business Models 2014 44Video Advertising Networks, Ad Trafficking, Platforms, Auctions, Exchanges, RTBs: Domestic/International Reach, Desktop/Mobile/Tablet/Ott Breakout 2013 - 2014 46Networks, Platforms and Bid Management Systems: Digital Video Inventory Analytics 2008-2013 48Video Advertising Networks, Ad Trafficking Platforms, Auctions, Exchanges, RTBs, SSPs and DSPs: Access to Inventory 2008 - 2013/2014 50Video Advertising Networks, Ad Trafficking Platforms, Auctions, Exchanges, RTBs, SSPs and DSPs: Inventory Pricing Analysis 2008 - 2013 52Aggregated Digital Video Media Spend: Relentless Pursuit of Transparency/Efficiency Leads to Supply/Demand Equilibrium 54Video Advertising Networks, Ad Trafficking Platforms, Auctions, Exchanges, RTBs, SSPs and DSPs: Aggregated Media Spend 2008 - 2013 57Digital Video Spend Growth by Technology Segment (Networks, Exchanges and Trafficking Platforms): Five-Year CAGRs reveal High Double-Digit Rates 59Video Ad Trafficking Platforms Deliver 55.9% of Sector Spend in 2013 61Video Ad Spend Summary Totals by Ad Clearing, Trafficking Segments: 2008 - 2013 63Digital Video Advertising: Business Models, Inventory Billing/Pricing Models and Business Operations 64Video Advertising Networks, Ad Trafficking, Bid Management Platforms, Auctions, Exchanges, RTBs, SSPs and DSPs: Inventory Pricing and Business Models 2014 64Digital Video Advertising Ecosystem: Net Revenue by Segment (Post Publisher Payouts, and Including All Platform Related Fees) Reveals Programmatic Strength in 2013 66Video Ad Clearing and Trafficking Ecosystem: Annual Platform Revenue and Forecast 2008 - 2016 69Net Revenue/Platform Analysis Including AOL-Adap.TV 69Video Ad Clearing and Trafficking Ecosystem: Annual Platform Revenue and Forecast 2008 - 2016 71Net Revenue Analysis Including AOL-Adap.TV and Google 71Video Ad Clearing and Trafficking Ecosystem: Annual Platform Revenue and Forecast 2008 - 2016 74

SECTION ONE 75

Video Ad Networks/Platforms 2008 – 2016: Segment Dynamics 75Video Ad Networks Manage $1.25 Billion in 2013 Media Spend 76Video Ad Networks and Platforms: Unduplicated Video Spend Analysis 2008-2013 77Ad Networks: Video Media Spend Estimates and Analysis 2008 - 2013 with Forecasts through 2016 80Video Ad Network Inventory Rose by 74.8% in 2013, Spend by 57.9% 81Video Ad Networks 2008 - 2013: Inventory and Spend Growth 81Five Year Analysis of Video Ad Network eCPMs Reflect Inventory Availability, Formats Supported (and Monetized) Plus Device Proliferation 84Video Ad Network CPM Analysis: 2008 - 2013 84Video Advertising Networks/Platforms: Aggregate and Unduplicated Inventory, Spend and eCPM Analysis 2008 - 2013 86Video Advertising Networks/Platforms: Aggregate and Unduplicated Inventory, Spend and eCPM Analysis 2008 - 2013 87Video Ad Networks 2008 – 2016: Media Operations and Total Platform Revenue 89Video Advertising Networks/Platforms: Annual Platform Revenue and Forecast 2008 - 2016 90Video Advertising Networks/Platforms: Post Publisher Payout Gross Margin Analysis 2008 - 2013 94Video Advertising Networks/Platforms: Total Platform Revenue and Forecast Analysis 2008 - 2016 95Q & A FORUM: EXECUTIVE EXCHANGE 96• BLINKX 96• JUN GROUP 102• MARTINI 109• NDN (News Distribution Network) 115• SETMEDIA 120• SUNDAYSKY 126• TREMOR VIDEO 131• VISIBLE MEASURES 136• YUME INC. 145

SECTION TWO 152

Video Ad Trafficking and Tech Platforms 2008 – 2016: Segment Dynamics 152Video Ad Trafficking Platforms Deliver $4 Billion in Video Ad Spend in 2013 153Video Ad Trafficking Segment: Unduplicated Media Spend Analysis 2008 - 2013 154Video Ad Trafficking Platforms Projected to Deliver $6.8 Billion in Video Spend by 2016 156Summary Totals by Ad Clearing, Trafficking Segment: Video Spend Estimates and Analysis 2008 - 2013 with Forecasts through 2016 158Summary In-Banner Video Spend and eCPM Analysis: 2013 159Summary In-Stream Video Spend and eCPM Analysis: 2013 159Video Ad Trafficking Platforms: Inventory and Spend Growth 161Video Ad Trafficking Platforms: Aggregate and Unduplicated Inventory, Spend and eCPM Analysis 2008 - 2013 162Video Ad Trafficking/Platforms/Analytics/Services: Media Spend 2008 - 2013 164Video Auctions, Exchanges, RTBs, Bid Management Platforms, Data Science: Total Inventory and In-Banner Video Share 2008 - 2013 165Video Ad Trafficking Tech Solutions Score $636.8 Million in 2013 Platform Revenue 166Ad Trafficking and Management Platform Revenue: 2008 - 2016 168Video Ad Trafficking/Platforms/Analytics/Services: Total Platform/Topline Revenue Analysis with Forecasts 2008 - 2016 169Video Ad Trafficking/Platforms/Analytics/Services 2008 - 2013: Gross Margin and Topline Revenue Analysis 2008 – 2013 170Video Ad Clearing and Trafficking Ecosystem: Annual Platform Revenue and Forecast 2008 - 2016 172Video Ad Clearing and Trafficking Ecosystem: Annual Platform Revenue and Forecast 2008 - 2016 172Q & A FORUM: EXECUTIVE EXCHANGE 173• ADOBE PRIMETIME 173• adRise 178• BLACKARROW 182• DYNAMIX 189• DG/MediaMind 192• FREEWHEEL 199• JWPLAYER 209• MIXPO 212• POINTROLL 219• VINDICO 225

SECTION THREE 231

Video Advertising Auctions, Exchanges and RTBs 2008-2016: Segment Dynamics 231In a Deeply Screened World, Automation Reduces Complexity 231Automated/Programmatic Video Ad Spend at $1.96 Billion in 2013, up 60.6% 235Summary Totals by Video Ad Clearing Segment: Auctions, Exchanges, RTBs and Bid Management: Unduplicated Spend Analysis 2008 - 2013 236Summary Totals by Ad Clearing, Trafficking Segment: Video Spend Estimates and Analysis 2008 - 2013 with Forecasts through 2016 237Auctions, Exchanges and RTB Efficiencies Are Driving the Segment toward Inventory and Spend Growth Equilibrium 238Digital Video Auctions, Exchanges and RTBs 2008 - 2013: Inventory and Spend Analysis 239Video Ad Networks 2008 - 2013: Inventory and Spend Growth 241Video Ad Trafficking Platforms: Inventory and Spend Growth 241Auction and Exchange Video Inventory Surpasses 436 Billion in 2013 241Video Auctions, Exchanges, RTBs, Bid Management Platforms, Data Science: Unduplicated Inventory, Spend and eCPM by Transaction Solution 2008 - 2013 242Video Auctions, Exchanges, RTBs, Bid Management Platforms, Data Science: Media Spend Value by Solution 2008 - 2013 243Video Auction, Exchange and RTB Net Revenue Analytics 2008 – 2013 244Video Auctions, Exchanges, RTBs, Bid Management Platforms, Data Science 2008 - 2013: Gross Margin and Media Clearing-Related Revenue Analysis 245Exchanges and Programmatic Trading Net Revenue Analysis: 2008 - 2013 246Video Auctions, Exchanges, RTBs, Bid Management Platforms, Data Science 2008 - 2016: Total Platform Revenue Analytics and Forecast 247Auctions, Exchanges and RTBs: Net Revenue Comparisons 2008 - 2016 248Excluding Google Properties, the Independent Auction, Exchange and RTB Market Segment Is Forecast to Generate Net Revenue of $1 Billion in 2014 251Video Auctions, Exchanges, RTBs, Bid Management Platforms, Data Science 2008 - 2016: Total Platform Revenue Analytics and Forecast 252Q & A FORUM: EXECUTIVE EXCHANGE 253• BRIGHTROLL 253• COLLECTIVE 260• KITARA MEDIA 265• LIVERAIL 269• MADISON LOGIC 275• ROCKET FUEL 280• SPOTXCHANGE 285• VIDEOLOGY 292

To order this report: Video Ad Tech Systems: Inventory Clearing, Trafficking, Spend and Business Operations Analytics: 2014 – 2016 http://www.reportlinker.com/p02005751/Video-Ad-Tech-Systems-Inventory-Clearing-Trafficking-Spend-and-Business-Operations-Analytics-2014-–-2016.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Advertising

__________________________
Contact Clare: [email protected]
US: (339)-368-6001
Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@BigDataExpo Stories
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
With the proliferation of both SQL and NoSQL databases, organizations can now target specific fit-for-purpose database tools for their different application needs regarding scalability, ease of use, ACID support, etc. Platform as a Service offerings make this even easier now, enabling developers to roll out their own database infrastructure in minutes with minimal management overhead. However, this same amount of flexibility also comes with the challenges of picking the right tool, on the right ...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the develo...
SYS-CON Events announced today that MangoApps will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. MangoApps provides modern company intranets and team collaboration software, allowing workers to stay connected and productive from anywhere in the world and from any device.
“We're a global managed hosting provider. Our core customer set is a U.S.-based customer that is looking to go global,” explained Adam Rogers, Managing Director at ANEXIA, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
DevOps at Cloud Expo – being held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises – and delivering real results. Am...
"This week we're really focusing on scalability, asset preservation and how do you back up to the cloud and in the cloud with object storage, which is really a new way of attacking dealing with your file, your blocked data, where you put it and how you access it," stated Jeff Greenwald, Senior Director of Market Development at HGST, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
The 19th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportuni...
"We've discovered that after shows 80% if leads that people get, 80% of the conversations end up on the show floor, meaning people forget about it, people forget who they talk to, people forget that there are actual business opportunities to be had here so we try to help out and keep the conversations going," explained Jeff Mesnik, Founder and President of ContentMX, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
“Being the one true cloud-agnostic and storage-agnostic software solution, more and more customers are coming to Commvault and saying ' What do you recommend? What's your best practice for implementing cloud?” explained Randy De Meno, Chief Technologist at Commvault, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
"When you think about the data center today, there's constant evolution, The evolution of the data center and the needs of the consumer of technology change, and they change constantly," stated Matt Kalmenson, VP of Sales, Service and Cloud Providers at Veeam Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
From wearable activity trackers to fantasy e-sports, data and technology are transforming the way athletes train for the game and fans engage with their teams. In his session at @ThingsExpo, will present key data findings from leading sports organizations San Francisco 49ers, Orlando Magic NBA team. By utilizing data analytics these sports orgs have recognized new revenue streams, doubled its fan base and streamlined costs at its stadiums. John Paul is the CEO and Founder of VenueNext. Prior ...
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, discussed how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved efficienc...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.
Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.