Welcome!

@BigDataExpo Authors: Kalyan Ramanathan, Pat Romanski, Elizabeth White, Liz McMillan, Doron Kolton

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
Predictive analytics tools monitor, report, and troubleshoot in order to make proactive decisions about the health, performance, and utilization of storage. Most enterprises combine cloud and on-premise storage, resulting in blended environments of physical, virtual, cloud, and other platforms, which justifies more sophisticated storage analytics. In his session at 18th Cloud Expo, Peter McCallum, Vice President of Datacenter Solutions at FalconStor, discussed using predictive analytics to mon...
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Onalytica. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enter...
All clouds are not equal. To succeed in a DevOps context, organizations should plan to develop/deploy apps across a choice of on-premise and public clouds simultaneously depending on the business needs. This is where the concept of the Lean Cloud comes in - resting on the idea that you often need to relocate your app modules over their life cycles for both innovation and operational efficiency in the cloud. In his session at @DevOpsSummit at19th Cloud Expo, Valentin (Val) Bercovici, CTO of Soli...
"IoT is going to be a huge industry with a lot of value for end users, for industries, for consumers, for manufacturers. How can we use cloud to effectively manage IoT applications," stated Ian Khan, Innovation & Marketing Manager at Solgeniakhela, in this SYS-CON.tv interview at @ThingsExpo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Join Impiger for their featured webinar: ‘Cloud Computing: A Roadmap to Modern Software Delivery’ on November 10, 2016, at 12:00 pm CST. Very few companies have not experienced some impact to their IT delivery due to the evolution of cloud computing. This webinar is not about deciding whether you should entertain moving some or all of your IT to the cloud, but rather, a detailed look under the hood to help IT professionals understand how cloud adoption has evolved and what trends will impact th...
Information technology is an industry that has always experienced change, and the dramatic change sweeping across the industry today could not be truthfully described as the first time we've seen such widespread change impacting customer investments. However, the rate of the change, and the potential outcomes from today's digital transformation has the distinct potential to separate the industry into two camps: Organizations that see the change coming, embrace it, and successful leverage it; and...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Internet of @ThingsExpo, taking place June 6-8, 2017 at the Javits Center in New York City, New York, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @ThingsExpo New York Call for Papers is now open.
What happens when the different parts of a vehicle become smarter than the vehicle itself? As we move toward the era of smart everything, hundreds of entities in a vehicle that communicate with each other, the vehicle and external systems create a need for identity orchestration so that all entities work as a conglomerate. Much like an orchestra without a conductor, without the ability to secure, control, and connect the link between a vehicle’s head unit, devices, and systems and to manage the ...
We are always online. We access our data, our finances, work, and various services on the Internet. But we live in a congested world of information in which the roads were built two decades ago. The quest for better, faster Internet routing has been around for a decade, but nobody solved this problem. We’ve seen band-aid approaches like CDNs that attack a niche's slice of static content part of the Internet, but that’s it. It does not address the dynamic services-based Internet of today. It does...
20th Cloud Expo, taking place June 6-8, 2017, at the Javits Center in New York City, NY, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
The 20th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held June 6-8, 2017, at the Javits Center in New York City, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Containers, 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 opportunity. Submit your speaking proposal ...
You have great SaaS business app ideas. You want to turn your idea quickly into a functional and engaging proof of concept. You need to be able to modify it to meet customers' needs, and you need to deliver a complete and secure SaaS application. How could you achieve all the above and yet avoid unforeseen IT requirements that add unnecessary cost and complexity? You also want your app to be responsive in any device at any time. In his session at 19th Cloud Expo, Mark Allen, General Manager of...
Major trends and emerging technologies – from virtual reality and IoT, to Big Data and algorithms – are helping organizations innovate in the digital era. However, to create real business value, IT must think beyond the ‘what’ of digital transformation to the ‘how’ to harness emerging trends, innovation and disruption. Architecture is the key that underpins and ties all these efforts together. In the digital age, it’s important to invest in architecture, extend the enterprise footprint to the cl...
Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, discussed the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They also reviewed two "free infrastructure" pr...
"Dice has been around for the last 20 years. We have been helping tech professionals find new jobs and career opportunities," explained Manish Dixit, VP of Product and Engineering at Dice, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smar...
Successful digital transformation requires new organizational competencies and capabilities. Research tells us that the biggest impediment to successful transformation is human; consequently, the biggest enabler is a properly skilled and empowered workforce. In the digital age, new individual and collective competencies are required. In his session at 19th Cloud Expo, Bob Newhouse, CEO and founder of Agilitiv, drew together recent research and lessons learned from emerging and established compa...