Explore the top news companies of 2025. This directory highlights key players shaping the media landscape and reveals how leading news organizations make purchasing and partnership decisions.
The news industry runs on speed, credibility, and technology. From global media giants to digital-first startups, these companies compete for reach, trust, and monetization. This directory lists leading organizations driving today's information economy, offering a snapshot of who's shaping public narratives and where industry partnerships often begin.
| Companies | Employees | HQ Location | Revenue | Founded | Traffic | 
|---|---|---|---|---|---|
| 18,225 | π¬π§ London | $ 500-1000M | 1922 | 2,019,623,943 | |
| 562 | πΊπΈ California, Los Angeles | $ 500-1000M | 2003 | 286,944,005 | |
| 2,784 | πΊπΈ New York | $ 500-1000M | 2010 | 129,344,002 | |
| 24,489 | π§π· SΓ£o Paulo | $ >1000M | 2019 | 383,020,988 | |
| 8,634 | π²π½ Chiapas, Distrito Federal | $ >1000M | 1930 | 10,449,999 | |
| 337 | πΊπΈ US | $ 500-1000M | 1998 | 395,369 | |
| 52,556 | π©πͺ Bayern|Oberbayern|Muenchen, Landeshauptstadt, Munich | $ >1000M | 2010 | 3,420,091 | |
| 225 | π¨π¦ Ontario, Toronto | $ 500-1000M | 1882 | 14,576 | |
| 6,073 | π¬π§ England, London | $ 500-1000M | 1922 | 1,346,718,982 | |
| 1,406 | πΊπΈ New York | $ 500-1000M | 1851 | 182,628,994 | 
News organizations prioritize tools that improve newsroom efficiency and reduce operational lag. Editors and operations heads look for analytics-driven CMS, automation for publishing workflows, and secure content storage. Decision-making typically involves editorial leads, IT teams, and digital transformation units. The focus: proven uptime, audience data integration, and fast onboarding. Pricing flexibility matters budgets vary between independent media and enterprise networks.
Signals often include leadership hires in tech, new digital product launches, or job openings for data and automation roles.
Takeaway: Speed, reliability, and integration drive most buying choices in media tech.
Monetization drives every tech purchase. Revenue teams evaluate ad servers, analytics suites, and data management platforms based on ROI per impression and ease of compliance with privacy regulations. They're cautious buyers vendors with case studies showing direct uplift in ad yield gain faster traction. Procurement cycles can be long, especially when multiple regional teams weigh in.
Common buying signals: partnerships with ad networks, new audience initiatives, and open roles in revenue ops.
Takeaway: Show measurable revenue impact, not just features.
Editors and newsroom leaders often resist unnecessary complexity. They favor intuitive interfaces and time-saving automation. They don't buy tools they buy speed, accuracy, and reliability. Pitching to editorial means speaking their language: fewer clicks, more verified sources, tighter workflows. Budget authority often sits with digital heads, not content leads.
Watch for signs like "digital transformation editor" roles or "automation editor" postings strong cues of active budget cycles.
Takeaway: Editorial tech buying depends on trust and simplicity, not buzzwords.
Data has become the new newsroom currency. Analytics, personalization, and generative tools are reshaping how editors engage audiences. But adoption is pragmatic news companies prefer AI that enhances credibility, not replaces judgment. Vendors showing explainability, transparency, and compliance gain faster acceptance.
Buying decisions often surface when analytics or AI product managers join the company. Partnerships with AI labs or universities also precede vendor onboarding.
Takeaway: Ethical AI and measurable outcomes are now the entry ticket for media vendors.
Retention has overtaken reach as a core KPI. Growth and subscription teams evaluate CRM, marketing automation, and paywall tech based on lifetime value and churn reduction. Integrations with analytics and identity systems are mandatory. Decision-makers expect flexible pricing SaaS lock-ins are avoided.
Typical signals: job openings for CRM or growth managers, new membership models, or a "reader revenue" business line launch.
Takeaway: Vendors must align with audience retention economics, not just acquisition metrics.
Corporate communication teams buy PR monitoring, sentiment analysis, and media intelligence tools to manage reputation and identify stories early. Accuracy and real-time alerting are key especially for crisis management. Integrations with Slack or newsroom dashboards are a plus.
Buyers often act fast following major reputation events or leadership changes. Mentions of "brand safety" or "real-time monitoring" in job listings signal upcoming spend.
Takeaway: Speed and trust dominate PR tech purchases.
Understanding how news companies buy gives sales teams a sharper edge the difference between a cold outreach and a timely one. Tracking shifts in hiring, content strategy, or tech stack adoption helps identify intent before competitors do. Tools like OutX.ai make it easy to monitor these movements and engage when signals are strongest.