Top 10 Demand Side Platform Companies of 2026

You've pushed Meta and Google Search hard enough to know the pattern. Early wins come fast, then CAC climbs, audience overlap gets ugly, and every extra dollar feels less efficient than the last. At that point, the problem usually isn't that paid media stopped working. It's that you're still buying from the same closed ecosystems as everyone else.

That's where DSPs enter the picture. A demand-side platform lets you buy media across the open internet with automated, impression-level bidding, instead of stitching together direct buys or relying only on platform-native ad systems. G2 describes DSPs as tools for real-time, impression-level buying, and Adjust explains that the bidding and placement process happens in milliseconds after you set targeting, creative, and budget in the platform in G2's DSP category overview. If you need scale beyond social, that operating model matters.

The category is also large enough now that it deserves serious evaluation, not a casual “maybe later.” Fortune Business Insights projected the DSP market at USD 48.19 billion in 2026 and USD 194.43 billion by 2034, with North America holding 38.9% of the market in 2025 in its DSP market analysis. In practice, that means these platforms aren't niche ad-tech anymore. They're core infrastructure for brands that want reach across premium sites, streaming TV, audio, and mobile apps.

Table of Contents

• 1. The Trade Desk (Kokai)
  • Where it fits best
  • Workflow example
• 2. Google Display & Video 360 (DV360)
  • Why teams choose it
  • Workflow example
• 3. Amazon DSP
  • Best use case
  • Workflow example
• 4. Yahoo DSP
  • What stands out
  • Workflow example
• 5. StackAdapt
  • Why mid-market teams like it
  • Workflow example
• 6. Basis DSP (Basis Technologies)
  • Who gets the most value
  • Workflow example
• 7. Roku OneView
  • When to use it
  • Workflow example
• 8. Viant (Adelphic DSP)
  • What it does well
  • Workflow example
• 9. Quantcast Platform (DSP)
  • Where it earns its keep
  • Workflow example
• 10. Moloco Ads
  • Best fit
  • Workflow example
• Top 10 Demand-Side Platforms: Quick Comparison
• The Future is Programmatic, But Your Strategy is Personal

1. The Trade Desk (Kokai)

If you want one of the strongest independent answers to Google, Amazon, and the platform gardens, start with The Trade Desk. It's usually the first serious option for teams that need broad open-internet reach across CTV, display, video, audio, and retail-media supply without locking themselves into one media owner.

What makes The Trade Desk useful in practice is breadth plus control. You can buy premium inventory, layer in data partners, curate supply paths, and build a more deliberate measurement setup than you'll get in simpler tools. That matters when you've outgrown “just launch retargeting and hope.”

Where it fits best

The best fit is an advertiser that already understands core ad performance metrics and needs more scale, not just more buttons. The Kokai workflow is built for buyers who want to shape inventory quality, audience logic, and cross-channel pacing in one place.

Trade-offs are real:

• Best for breadth: It's strong when you need one DSP for CTV, video, display, and audio instead of juggling specialists.
• Best for identity-heavy planning: Its open-internet identity posture is a practical advantage when you care about addressability beyond cookie-era tactics.
• Watch the fee stack: Buyers often complain less about capability than about pricing complexity and how fees layer across data, supply, and platform costs.

Practical rule: The Trade Desk is a strong pick when media strategy is the job. It's a weak pick when you just need a simple buying console.

Workflow example

Say a DTC home brand has maxed out Meta prospecting. The next move isn't to dump budget into generic display. It's to use CTV for broad reach, then retarget exposed households with open-web video and display. The Trade Desk is good at that sequence because the channels live inside one buying environment.

A performance marketer might build a CTV awareness campaign first, exclude recent purchasers with first-party data, then create follow-up display and video groups for users who were exposed but didn't convert. That setup works because DSPs are built around low-latency bidding, first-party-data activation, and automated audience decisions, and AI Digital notes that first-party integration quality is a key evaluation point while also stating that 85% of marketers prioritize first-party data in its DSP guide. If your CRM sync is messy, The Trade Desk won't save you. If your data hygiene is solid, it gives you room to work.

2. Google Display & Video 360 (DV360)

Display & Video 360 makes the most sense when your team already lives in the Google ecosystem and wants media buying, reporting, and planning to stay close to that stack. It's enterprise software, but not in a vague way. You feel it in the workflow, the permissions, the reporting logic, and the way it connects to adjacent Google tools.

For many teams, the biggest draw isn't novelty. It's operational convenience. DV360 often becomes the default choice when analytics, YouTube access, and centralized governance matter more than having the most flexible independent marketplace.

Why teams choose it

The main reason to pick DV360 is consolidation. A buyer can work across display, video, CTV, audio, and YouTube while keeping measurement close to Google Marketing Platform workflows. For teams trying to reduce reporting fragmentation, that's a practical win.

If you're using automation elsewhere in the stack, pairing DV360 with tools that reduce manual campaign analysis can help. A lean team might use Kelpi's AI media buyer to keep social insights moving while DV360 handles broader programmatic expansion.

A few realities to keep in mind:

• Strong fit for enterprise teams: Governance, reporting, and cross-product integration are where it shines.
• Less friendly for small operators: If one person wears five hats, DV360 can feel heavy.
• Good for YouTube-led plans: If video is central, that access alone can shape the decision.

Workflow example

Take a brand that already spends heavily on YouTube via Google Ads and now wants to coordinate YouTube with CTV and open-web video. DV360 is a natural move because the buying and reporting environment can stay familiar while the channel mix expands.

The marketer's actual workflow is straightforward. Build audience pools from site visitors and customer lists, launch YouTube for upper-funnel reach, then extend into CTV and display retargeting inside DV360 to control message sequencing. That's especially useful because, as noted earlier, much of the educational content around DSPs still assumes a large enterprise buyer, and one of the more helpful framing questions is when a DSP is worth using versus simpler channels as discussed in this Rishabh Software overview of DSP adoption. DV360 is worth it when orchestration is the problem you need solved. If your problem amounts to “I need more conversions next week,” it may be more platform than you need.

3. Amazon DSP

Amazon DSP is one of the few demand side platform companies where the audience data is often the whole story. If you sell products that people actively shop for, Amazon's commerce signals can make the platform far more useful than a generic DSP, especially for CPG, beauty, supplements, home, electronics, and any brand with an Amazon storefront.

That doesn't mean it's automatically the best choice. It means the platform is strongest when shopper intent is central to the campaign. If your brand doesn't have a retail motion, Amazon DSP loses some of its edge.

Best use case

Amazon DSP works well when the job is to reach people with clear product interest, not just broad demographic similarity. That can include on-Amazon retargeting, off-Amazon awareness, and streaming TV support through Amazon-owned properties and partners.

It's often a good match for teams already using retail media and trying to connect that to upper-funnel buying. If you're exploring adjacent tools for automation across channels, a lot of marketers evaluate AI marketing tools for media teams alongside a DSP rollout because the bottleneck usually shifts from buying to creative and reporting.

If you don't have strong product-market fit or a clean funnel, Amazon DSP can expose those problems fast.

Workflow example

A skincare brand selling through both Shopify and Amazon might use Sponsored Products for bottom-funnel capture, then use Amazon DSP to prospect against relevant shopping audiences and retarget viewers off Amazon with display or streaming TV. That's a useful split because Amazon DSP isn't just about search-style intent. It lets the brand carry retail signals into broader media.

The practical workflow usually looks like this: launch awareness on streaming TV, build retargeting pools from product detail page viewers or engaged audiences, then push display and video messaging that narrows the offer. This is also where the larger market direction matters. Allied Market Research notes that multiple firms place the DSP market from the tens of billions today to roughly USD 194.4 billion by 2034 or USD 228.4 billion by 2032, depending on forecast model, with sustained double-digit growth in its DSP market release. For buyers, that means inventory access and data integration are turning into real differentiators, not extra features. Amazon's differentiation is obvious. Commerce data.

4. Yahoo DSP

Yahoo DSP tends to get overlooked in conversations dominated by The Trade Desk, DV360, and Amazon. That's a mistake. For some advertisers, Yahoo hits a useful middle ground between broad omnichannel access and a more approachable buying environment.

Its identity story matters. ConnectID gives Yahoo a practical angle for cross-device targeting and frequency management, and that's useful for buyers who want a post-cookie plan without jumping immediately to the biggest, most complex independent DSP.

What stands out

Yahoo DSP is often attractive when cost discipline matters and the buyer still wants solid CTV access. It also works well for teams that care about contextual and ID-free audience options, not just deterministic matching.

What I like about Yahoo in the right account is that it can feel less bloated than some larger enterprise systems. What I don't like is that channel depth can vary, so you need to judge it against your actual media plan, not its homepage.

• Good for CTV-forward plans: Yahoo has credible streaming relationships and enough omnichannel reach to support extension paths.
• Useful identity layer: ConnectID can help with cross-device planning where basic cookie retargeting falls short.
• Not always the deepest ecosystem: If you need every niche integration under the sun, you may run into edges.

Workflow example

A regional healthcare or education advertiser is a good example. The team might want native, video, display, and CTV in one place, but still need tighter cost control than a heavyweight stack often brings. Yahoo DSP fits that kind of brief.

The workflow could start with contextual prospecting around relevant content, then move into cross-device retargeting for users who visited program pages or location pages. That's where Yahoo's value shows up. It's not just “buy media everywhere.” It's “buy media across formats without forcing a giant enterprise operating model onto a smaller team.”

5. StackAdapt

StackAdapt is one of the easier demand side platform companies to recommend to a lean team. Not because it does everything better than the biggest DSPs, but because it usually gets you live faster, with less operational pain, and with better support for buyers who don't have a dedicated programmatic specialist.

That's a real advantage. Plenty of brands don't need the most expansive marketplace. They need a DSP their team will use effectively.

Why mid-market teams like it

StackAdapt's appeal is usability plus channel coverage. You can run CTV, native, display, video, audio, and more without walking into the full complexity of a large enterprise platform. The self-serve and hybrid options also give teams room to grow.

This is usually where I'd point agencies managing mid-sized accounts and in-house teams making their first serious move beyond Meta and Google. The platform tends to reward practical buyers who want to test channels, onboard CRM data, and iterate without a giant implementation process.

Buyer note: If your team needs education as much as software, StackAdapt is often a better fit than a more powerful platform you'll only half use.

Workflow example

A furniture brand with strong paid social performance but no CTV experience is a classic StackAdapt fit. The marketer can upload CRM audiences, build contextual prospecting segments around home design content, and run native plus CTV together without rebuilding the whole measurement stack first.

The campaign structure might be simple. Native and display for audience discovery, CTV for broad reach and stronger storytelling, then retargeting to cart visitors and product viewers with tighter creative. That's where StackAdapt works. It helps a smaller team explore open-web growth without requiring them to become ad-tech operators overnight. The trade-off is that very large advertisers may eventually want deeper customization than StackAdapt is built to provide.

6. Basis DSP (Basis Technologies)

Basis DSP is less about winning the “best bidder” debate and more about fixing the daily mess of media operations. If your pain is split between planning, trafficking, reporting, direct buys, invoicing, and programmatic execution, Basis can make more sense than a DSP that only solves bidding.

That makes it especially relevant for agencies and lean in-house teams with operational sprawl. In those setups, workflow friction can do as much damage as weak targeting.

Who gets the most value

Basis is strongest when media buying is tied to a lot of process. Agency teams juggling IO-based direct deals, programmatic, search, and social often care just as much about unified operations as they do about incremental bidding features.

The platform's broader automation posture matters more than any single channel claim. If your buyers are spending too much time moving data between systems, Basis can be a practical fix.

A few implications stand out:

• Good for mixed buying models: Programmatic plus direct is where Basis earns attention.
• Useful for agency reporting: Consolidation helps when clients want one view, not four exports.
• Less ideal for specialists: If your whole strategy depends on one highly advanced channel feature, a narrower tool may go deeper.

Workflow example

Consider an agency running campaigns for a local retail group, a B2B software client, and a healthcare provider at the same time. One client has direct publisher deals, another needs search and social tied into reporting, and the third wants audio and CTV added without increasing headcount. Basis is built for that kind of reality.

The buyer's workflow might start with planning and forecasting inside the same system used later for trafficking and reporting. Then the team can run programmatic display, audio, and CTV while keeping billing and performance reporting in one operating layer. It's not glamorous. It's just useful when too much of the job happens outside the DSP.

7. Roku OneView

Roku OneView is what I'd call a purpose-built answer for streaming TV buyers. If CTV is your main growth bet and Roku inventory or Roku-level household planning is important, OneView deserves a close look. If you want a broad open-web DSP first and foremost, it probably doesn't.

That distinction matters because CTV has its own planning logic. Reach, frequency, household overlap, and incremental audience all matter more than they do in standard display buying.

When to use it

Roku OneView is strongest when a brand wants household-level CTV planning and access to Roku's own data and inventory relationships. Buyers focused on incremental reach beyond linear TV often find the positioning easy to understand.

It's not the most expansive omnichannel answer, and that's fine. A platform doesn't need to be universal to be useful. It needs to solve the actual media problem in front of you.

Workflow example

A consumer brand launching nationally but still dependent on paid social for most new customer volume could use Roku OneView to test streaming TV without immediately building a full omnichannel programmatic stack. The team can prioritize premium CTV delivery, set household-level controls, and evaluate whether streaming introduces net-new reach compared with existing video channels.

That can work especially well for seasonal pushes, product launches, or broad consideration campaigns where sight, sound, and motion matter more than click volume. The catch is obvious. Once you want deeper display, native, or non-Roku open-web flexibility, you'll likely pair OneView with another platform rather than making it your only DSP.

8. Viant (Adelphic DSP)

Viant's DSP is worth attention when privacy-forward buying isn't just a talking point for your team. Its Household ID approach gives it a cleaner story for advertisers who want addressability across CTV, mobile app, and browser environments without leaning too heavily on fading identifiers.

That's especially relevant for categories like retail, CPG, and multi-location brands where household planning often maps better to real purchase behavior than a single-device view.

What it does well

Viant tends to stand out in cookieless and CTV-heavy strategies. It also benefits advertisers who want identity and measurement to connect in a more explicit way than they often do in broader DSP setups.

I wouldn't call it the default pick for everyone. I would call it a serious option when cross-device household logic is central to the plan.

• Strong fit for CTV plus retail-style measurement
• Useful for privacy-conscious planning
• Smaller ecosystem than the largest DSPs

Household-based buying makes more sense when the product decision is shared. Think groceries, home goods, telecom, insurance.

Workflow example

A grocery brand promoting a new product line could use Viant to plan around household exposure instead of chasing individual-device clicks. The campaign might begin with CTV and mobile app reach, then layer contextual placements tied to food, family, or lifestyle content.

The workflow advantage is that the buyer can think in terms of household frequency, not just isolated impressions. That changes creative sequencing too. Intro message on CTV, reminder on mobile app, offer-driven follow-up in high-intent contexts. For some categories, that's closer to how buying decisions happen.

9. Quantcast Platform (DSP)

Quantcast Platform is a good example of a DSP that earns attention through workflow speed, not just inventory breadth. If your team wants audience insight, activation, and reporting to stay tightly connected, Quantcast can feel efficient in a way larger, more modular systems sometimes don't.

Its core value is often upstream. You don't just buy media. You use the platform to understand who's engaging, model expansion audiences, and move from insight to activation quickly.

Where it earns its keep

Quantcast is strongest for open-web prospecting and retargeting, especially when you want audience discovery to happen close to campaign execution. Teams that care about predictive modeling and always-on audience refreshes often find that workflow appealing.

That said, it's not the answer if your plan depends heavily on the biggest walled gardens. Its strength is the open internet.

Workflow example

Take a subscription brand trying to find new audiences beyond paid social lookalikes. A buyer can feed in site activity, identify patterns among engaged users, and launch prospecting against modeled audiences that resemble known converters without replicating social platform logic directly.

That usually works best when the marketer treats Quantcast as both an audience engine and a DSP. Prospect broadly, monitor which contexts and cohorts engage, then push those learnings into retargeting and conversion-focused line items. The platform becomes more valuable when you use it to sharpen the audience thesis, not just to place ads.

10. Moloco Ads

Moloco is the outlier on this list because it isn't trying to be your full omnichannel answer. It's much more focused. If mobile app growth is the job, Moloco becomes a serious option. If you need broad display, CTV, native, and audio orchestration, it won't replace the larger DSPs.

That focus is a strength, not a limitation, when your team lives and dies by app installs, events, retention, and in-app purchase value.

Best fit

Moloco makes the most sense for app marketers running user acquisition and re-engagement with mobile measurement partners already in place. The exchange connectivity and performance orientation are the reasons to look at it.

This is the kind of platform where operational fit matters more than brand familiarity. If your team already measures downstream app events cleanly, Moloco can slot in well. If attribution is shaky, the platform won't fix the underlying problem.

Workflow example

An app subscription business trying to scale beyond Meta App Ads could use Moloco to reach users across a wide in-app inventory footprint while optimizing toward post-install quality signals. The buyer might separate campaigns by event depth, one for trial starts, one for retained subscribers, then use re-engagement campaigns for dormant but valuable cohorts.

That setup is practical because app growth rarely breaks from lack of impressions. It breaks from weak event mapping, poor creative rotation, and fuzzy payout logic. Moloco works when those pieces are already disciplined. It gives app teams another serious performance channel without forcing them into a broader DSP operating model they don't need.

Top 10 Demand-Side Platforms: Quick Comparison

The Future is Programmatic, But Your Strategy is Personal

The hard part about choosing among demand side platform companies isn't finding a platform with enough features. Most of the serious players have plenty. The hard part is picking the one that matches the job your team needs done right now.

If you're trying to break out of social dependence and build open-internet scale, The Trade Desk and DV360 are often the first serious conversations. They give you reach, structure, and room to build a real cross-channel program. But they also demand more from the buyer. More planning discipline, better data setup, stronger reporting habits, and a willingness to manage complexity instead of avoiding it.

If your edge comes from commerce data, Amazon DSP deserves special attention. It's one of the clearest examples of a platform whose value comes from what it knows about buyers, not just where it can place ads. If you need a more approachable route into programmatic, StackAdapt and Yahoo DSP are easier to justify for leaner teams. They tend to make more sense when the immediate goal is to launch well, learn quickly, and avoid drowning in enterprise-level workflow.

Some platforms are best chosen for a narrower reason. Basis can save an agency or in-house team from operational chaos. Roku OneView is valuable when streaming TV is the center of the plan, not just one line item. Viant is worth a look when household identity and cookieless planning matter. Quantcast is useful when audience discovery on the open web is part of the strategy. Moloco is the specialist pick for app marketers who care about downstream event quality more than broad omnichannel buying.

The biggest mistake I see is buying a DSP like it's a status symbol. It isn't. A more powerful platform won't compensate for a weak offer, thin creative, bad first-party data, or unclear success criteria. In fact, the larger the platform, the faster those problems become expensive.

Start with the growth barrier, not the vendor shortlist. If you need premium CTV access, that points you one way. If you need shopper intent, it points you another. If your real issue is that your team can't manage reporting and trafficking across channels, then the best DSP might be the one that simplifies operations rather than the one with the flashiest marketplace.

Programmatic buying is now established infrastructure, not an experimental side channel. But the right buying setup is still personal to your business. Choose the platform that solves your next bottleneck cleanly. Then grow into the rest.

---

Kelpi is built for the part of your paid media operation that still needs hands-on judgment every day. If Meta and Instagram are still major revenue channels while you expand into programmatic, Kelpi can audit account performance, flag what to pause, recommend budget shifts, draft fresh creatives, and keep your team updated without the usual micromanagement. It's a practical way to keep paid social efficient while you test new growth through DSPs.