Tech News, Magazine & Review WordPress Theme 2017
  • Blog
  • Der Digital Schamane
    • Ikigai: Das japanische Geheimnis für ein erfülltes  Leben
    • Entfesseln Sie Ihr innovatives Potenzial mit den Denkhüten von de Bono
    • Enthüllen Sie die Geheimnisse Ihres inneren Teams: Eine einfacher Leitfaden
    • Die Kunst der kollegialen Fallberatung: Förderung einer Kultur der Zusammenarbeit und des Lernens
    • Vom Träumen zur Wirklichkeit: Die Kraft der Walt Disney Methode!
  • Spiele
Donnerstag, 27. November 2025
No Result
View All Result
  • Blog
  • Der Digital Schamane
    • Ikigai: Das japanische Geheimnis für ein erfülltes  Leben
    • Entfesseln Sie Ihr innovatives Potenzial mit den Denkhüten von de Bono
    • Enthüllen Sie die Geheimnisse Ihres inneren Teams: Eine einfacher Leitfaden
    • Die Kunst der kollegialen Fallberatung: Förderung einer Kultur der Zusammenarbeit und des Lernens
    • Vom Träumen zur Wirklichkeit: Die Kraft der Walt Disney Methode!
  • Spiele
No Result
View All Result
Arbeit 4.0 und KI: die Zukunft ist jetzt!
No Result
View All Result

Transforming commercial pharma with agentic AI 

by MIT Technology Review Insights
13. Oktober 2025
141 9
Home AI
Share on FacebookShare on Twitter

Amid the turbulence of the wider global economy in recent years, the pharmaceuticals industry is weathering its own storms. The rising cost of raw materials and supply chain disruptions are squeezing margins as pharma companies face intense pressure—including from countries like the US—to control drug costs. At the same time, a wave of expiring patents threatens around $300 billion in potential lost sales by 2030. As companies lose the exclusive right to sell the drugs they have developed, competitors can enter the market with generic and biosimilar lower-cost alternatives, leading to a sharp decline in branded drug sales—a “patent cliff.” Simultaneously, the cost of bringing new drugs to market is climbing. McKinsey estimates cost per launch is growing 8% each year, reaching $4 billion in 2022. 

DOWNLOAD THE REPORT

In clinics and health-care facilities, norms and expectations are evolving, too. Patients and health-care providers are seeking more personalized services, leading to greater demand for precision drugs and targeted therapies. While proving effective for patients, the complexity of formulating and producing these drugs makes them expensive and restricts their sale to a smaller customer base.

The need for personalization extends to sales and marketing operations too as pharma companies are increasingly needing to compete for the attention of health-care professionals (HCPs). Estimates suggest that biopharmas were able to reach 45% of HCPs in 2024, down from 60% in 2022. Personalization, real-time communication channels, and relevant content offer a way of building trust and reaching HCPs in an increasingly competitive market. But with ever-growing volumes of content requiring medical, legal, and regulatory (MLR) review, companies are struggling to keep up, leading to potential delays and missed opportunities. 

Download the report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

MIT Technology Review Insights

Next Post

This new AI technique creates ‘digital twin’ consumers, and it could kill the traditional survey industry

Please login to join discussion

Recommended.

Quantum Machines launches Qualibrate open source framework to speed quantum computer calibration

19. Mai 2025

Open partners with Will Smith on social commerce merch on Open SuperApp

11. Dezember 2024

Trending.

KURZGESCHICHTEN: Sammlung moderner Kurzgeschichten für die Schule

24. März 2025

iOS gets an AI upgrade: Inside Apple’s new ‘Intelligence’ system

29. Juli 2024

From pilot to scale: Making agentic AI work in health care

28. August 2025

Chinese universities want students to use more AI, not less

28. Juli 2025

Python data validator Pydantic launches model agnostic, AI agent development platform

4. Dezember 2024
Arbeit 4.0 und KI: die Zukunft ist jetzt!

Menü

  • Impressum
  • Datenschutzerklärung

Social Media

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Home
  • Review
  • Apple
  • Applications
  • Computers
  • Gaming
  • Microsoft
  • Photography
  • Security