Nice — I pulled together a compact, source-backed market reference for Real-Time Bidding (RTB) that you can use in reports or presentations. I list key companies with 2024 values, then a focused analysis for each requested section (Recent developments, Drivers, Restraints, etc.). I cite the most important sources after the relevant points.

This versatile research report is presenting crucial details on market relevant information, harping on ample minute details encompassing a multi-dimensional market that collectively maneuver growth in the global Real-Time Bidding market.

This holistic report presented by the report is also determined to cater to all the market specific information and a take on business analysis and key growth steering best industry practices that optimize million-dollar opportunities amidst staggering competition in Real-Time Bidding market.

Read complete report at: https://www.thebrainyinsights.com/report/real-time-bidding-market-12845

1) Reference — key companies & 2024 values (selected, public figures)

The Trade Desk — Revenue (FY-2024): $2.44B; platform spend on TTD ≈ $12B in 2024.
Criteo — Revenue (FY-2024): $1.933B (note: Criteo is a major performance/retail media player that participates in programmatic/RTB workflows).
Magnite — Full-year 2024 revenue (company disclosures / filings imply total 2024 revenue roughly ~ $607M processed-ad / contribution metrics); Q4-2024 revenue $194M (company release). (Magnite is a major SSP focusing on CTV & display).
PubMatic — Revenue (FY-2024): $291.3M (full year).
OpenX — private estimates place annual revenue in the low-hundreds of millions (public estimates ~ $50–170M range depending on source). Use with caution (non-public filing).

Market size context: multiple industry reports estimate the global RTB / programmatic market in the tens of billions (examples: IMARC estimate — market ≈ $18.8B in 2024; other research houses give higher estimates or different definitions). Use the market definition (RTB vs full programmatic + exchanges + retail media) carefully when choosing a number.

2) Recent developments

CTV & omnichannel growth: publishers and SSPs reported accelerating CTV monetization (CTV contribution rising in Q4 2024 for companies like Magnite & PubMatic).
Industry consolidation & product expansion: native/native-ad players and recommendation engines (e.g., Taboola, Outbrain) are expanding into broader programmatic buys, increasing competition for open RTB budgets.
Cookies situation changed the tone: Google’s repeated changes to its third-party cookie plans (and related industry delays) softened the immediate deadline pressure — industry now focuses on diverse identity solutions, clean rooms and first-party data.

3) Drivers

Demand for precision & ROI: advertisers favor programmatic RTB because it enables real-time targeting and measurable ROI.
Shift to video & CTV: streaming makes CTV a high-value channel for RTB (better CPMs, growth in spend).
Automation & scale: programmatic automates buying across channels (display, video, mobile, CTV), increasing efficiency and spend.

4) Restraints

Privacy & identity fragmentation: third-party cookie phase-out / privacy regulations make user matching harder — raises costs for identity work-arounds.
Ad fraud & brand safety: concerns about invalid traffic, viewability and unsuitable placements slow some brand budgets from flowing to open RTB.
Concentration of media spend: closed platforms (walled gardens) like Google/Meta/Amazon capture large share of ad dollars, limiting growth of open RTB for some advertiser categories.

5) Regional segmentation analysis (high level)

North America: largest share of RTB spend (early adoption of CTV, clean-room solutions, retail media). The Trade Desk & Google dominate demand-side wallets.
Europe: strong programmatic growth; privacy regulation (GDPR) shapes identity solutions and increases adoption of server-side and first-party strategies.
APAC & LATAM: fast growth driven by mobile adoption and programmatic mobile video, but regionally fragmented with many local SSP/DSP players.

6) Emerging trends

Retail media + programmatic convergence: retail networks integrating RTB-like programmatic bidding (Criteo, Amazon, retail DSPs).
Identity alternatives & clean rooms: publishers and platforms use first-party data, UID solutions, and data clean rooms rather than relying on third-party cookies.
AI for creative & bidding: AI/ML improves bid strategies, creative personalization, and campaign optimization (adtech vendors are embedding more AI).

7) Top use cases

Performance marketing (CPA/CPI): app installs, sales & direct response benefit from RTB’s targeting and auction dynamics.
Brand & CTV campaigns: brand advertisers buying CTV and video at scale via programmatic.
Audience extension / retargeting: advertisers use RTB to extend reach to lookalike or retargeting audiences across the open web.

8) Major challenges

Measurement & attribution across channels (especially cross-device & CTV).
Balancing scale vs brand safety (many publishers + varying quality).
Identity & privacy compliance costs — implementing cookieless identity stacks and consent frameworks.

9) Attractive opportunities

CTV & connected-TV monetization (higher CPMs, growing inventory).
Retail & contextual programmatic (retail media and contextual targeting as cookie alternatives). Data clean-rooms & first-party data products offered by publishers and SSPs to attract brand budgets.

10) Key factors of market expansion

Advertiser trust in measurement & brand safety (improvements will unlock more brand budget).
Availability of high-quality CTV & video inventory.
Solve identity at scale (clean rooms, universal IDs, and first-party data adoption).

Short note about sources and reliability

I pulled publicly disclosed company filings / investor releases for the revenue figures (Trade Desk, PubMatic, Magnite, Criteo) and industry research reports for market sizing and trends. Use company financials for firm numbers; use market reports carefully because different vendors use different definitions of “RTB” vs broader “programmatic” or “programmatic + retail media.”

If you want, I can now:

produce a one-page slide with these figures and citations, or
expand the company reference table to include market cap / processed ad spend / YoY growth % for each player (TTD, Magnite, PubMatic, Criteo, OpenX, etc.) — I’ll pull the numeric values and cite each.

Which of those (slide vs expanded table) would you like me to make next?