Pharma industry trends 2026+

Summary: Bioprinting, the use of 3D printing technology to create living tissues and organs, is expected to revolutionize medical research and device production by providing new ways to test drugs and treatments.

Current Situation: Bioprinting is in its early stages, with research mostly limited to creating small tissues and simple structures. However, the potential for this technology to grow is vast.

Expected Trend Development: Over the next 10-15 years, bioprinting will advance to create more complex tissues and potentially even functional organs for testing and transplants. This could eliminate the need for animal testing and reduce the reliance on organ donors.

Challenges: The technology is still expensive and difficult to scale. There are also regulatory, ethical, and technical challenges, such as ensuring that printed tissues function properly in the human body.

Time to Impact: 8-10 years
Potential Impact: Very High
STEEP Segment: Technological

This year’s trend development

Summary: Advances in nanotechnology and microfabrication are driving the miniaturization of medical devices, enabling more personalized, less invasive, and more precise diagnostic and therapeutic tools.

Current Situation: Many medical devices are large, expensive, and not easily accessible to all patients. While some progress has been made in shrinking devices, miniaturization is still in its early stages in terms of mass-market production and application.

Expected Trend Development: Over the next decade, more compact, wearable, and even implantable devices will enter the market, enabling continuous health monitoring, real-time diagnostics, and individualized treatments. This will be particularly transformative for chronic disease management and preventive care.

Challenges: Manufacturing costs, regulatory approval, and ensuring the reliability of such small devices are major hurdles. Furthermore, patient data security for continuously connected devices needs strong protection.

Time to Impact: 4-6 years
Potential Impact: High
STEEP Segment: Technological

This year’s trend development

Current Situation: Citizen scientists—individuals outside of formal scientific institutions—are contributing to medical research, gathering data and developing new tools and devices, driving community-driven innovation.

Expected Trend Development: Over the next decade, community-driven research will continue to grow, with citizen scientists contributing to niche areas such as rare diseases, open-source device design, and personalized health tools.

Challenges: Ensuring scientific rigor, ethical compliance, and accurate data collection by non-professional researchers will be critical. Lack of formal infrastructure for citizen scientists may also limit the scalability of their contributions.

Time to Impact: 2-4 years
Potential Impact: Medium
STEEP Segment: Social

This year’s trend development

Summary: As human activity encroaches on natural habitats, the risk of zoonotic disease transmission (diseases transmitted from animals to humans) is increasing, prompting a stronger focus on environmental protection and disease prevention.

Current Situation: Outbreaks of zoonotic diseases like COVID-19, Ebola, and avian flu are becoming more frequent, driven by habitat destruction, wildlife trade, and intensive animal farming. However, preventive measures focusing on environmental factors are still limited.

Expected Trend Development: Over the next decade, disease prevention efforts will expand to include stronger wildlife protection policies, regulations on animal farming, and monitoring of zoonotic disease risks at the human-animal-environment interface.

Challenges: Coordinating global efforts to address zoonotic diseases can be challenging, especially with varying levels of commitment to wildlife protection and environmental conservation. There are also significant financial costs associated with implementing preventive measures.

Time to Impact: 4-6 years
Potential Impact: Very High
STEEP Segment: Ecological

This year’s trend development

Summary: Wearable health devices are becoming more advanced, enabling real-time health monitoring and early detection of potential disease markers, improving individual and public health outcomes.

Current Situation: Wearable devices like smartwatches and fitness trackers are widely used for general health monitoring. However, their capability for detecting early signs of disease, such as arrhythmias or glucose level changes, is still developing.

Expected Trend Development: In the next 5-10 years, wearables will integrate more advanced sensors to monitor key health indicators, helping users identify early warning signs of diseases like diabetes or heart disease. These devices will become integral to personal disease prevention strategies.

Challenges: In the next 5-10 years, wearables will integrate more advanced sensors to monitor key health indicators, helping users identify early warning signs of diseases like diabetes or heart disease. These devices will become integral to personal disease prevention strategies.

Time to Impact: 2-4 years
Potential Impact: High
STEEP Segment: Technological

This year’s trend development

Summary: Governments are reallocating public health budgets to focus more on preventive care as a cost-effective strategy to reduce healthcare expenditures and improve population health.

Current Situation: Public health spending is still largely focused on treating existing diseases rather than preventing them. However, as healthcare systems become overburdened with chronic disease management, governments are recognizing the financial benefits of prevention.

Expected Trend Development: In the next 5-10 years, we will see a shift in public health spending, with more funds directed toward programs that promote early detection, vaccination, and lifestyle interventions. This will be particularly important in countries with aging populations.

Challenges: Allocating funds for prevention requires long-term planning, but many governments face short-term political and budgetary constraints. The benefits of preventive care can take years to manifest, making it difficult to justify upfront costs.

Time to Impact: 4-6 years
Potential Impact: High
STEEP Segment: Economic

This year’s trend development

Summary: The rise of personalized medicine is fueling the need for precision diagnostics, which use genetic, molecular, and other advanced tests to tailor treatments to individual patients based on their unique biological makeup.

Current Situation: While personalized medicine is still in its early stages, the demand for precision diagnostics, such as genomic sequencing and biomarker analysis, is growing rapidly in fields like oncology and rare diseases.

Expected Trend Development: In the next 5-10 years, precision diagnostics will become more widespread, with healthcare providers offering tailored diagnostic tests to help identify the most effective treatments for each patient. This trend will lead to more accurate diagnoses and better health outcomes.

Challenges: High costs, limited access to precision diagnostic tools, and the need for specialized training among healthcare providers could slow the adoption of personalized diagnostics.

Time to Impact: 4-6 years
Potential Impact: Very High
STEEP Segment: Social

This year’s trend development

Summary: Liquid biopsies, a non-invasive diagnostic method that analyzes blood samples for cancer-related biomarkers, are emerging as a promising tool for early cancer detection and monitoring.

Current Situation: Liquid biopsies are currently used in limited clinical settings, primarily for monitoring cancer progression or recurrence. However, their use in early cancer detection is still in development.

Expected Trend Development: Over the next 5-10 years, liquid biopsies will become a routine part of cancer diagnostics, allowing for earlier detection of cancers before symptoms appear. This will improve survival rates and reduce the need for invasive biopsy procedures.

Challenges: Ensuring the sensitivity and specificity of liquid biopsies, as well as their affordability and accessibility, will be key challenges in making this technology widely available.

Time to Impact: 4-6 years
Potential Impact: Very High
*STEEP Segment: Technological

This year's trend development

Summary: Artificial Intelligence (AI) is revolutionizing diagnostics by improving the accuracy and speed of disease detection through advanced data analysis, image recognition, and pattern detection.

Current Situation: AI is being integrated into diagnostic tools, particularly in radiology and pathology, where it helps detect abnormalities in medical images. However, AI's full potential in diagnostics is still being explored.

Expected Trend Development: Over the next decade, AI will play a central role in diagnostics, assisting healthcare providers in detecting diseases earlier and more accurately. AI-driven tools will become standard in various medical fields, from oncology to cardiology.

Challenges: Regulatory approval, the need for large datasets to train AI models, and concerns about algorithmic bias are major challenges to the widespread adoption of AI in diagnostics.

Time to Impact: 4-6 years
Potential Impact: Medium
STEEP Segment: Technological

This year's trend development

Summary: Healthcare systems are shifting towards value-based care models that focus on patient recovery outcomes rather than the volume of treatments or procedures, encouraging more cost-effective and efficient recovery strategies.

Current Situation: Many healthcare providers still operate under fee-for-service models, which reward the quantity of care rather than the quality or effectiveness of recovery outcomes. This can lead to unnecessary treatments and prolonged recovery times.

Expected Trend Development: In the next 5-10 years, more healthcare systems will adopt value-based care models that incentivize quicker, more effective recovery. This will encourage the use of personalized treatment plans, rehabilitation, and follow-up care to improve patient outcomes and reduce costs.

Challenges: Transitioning to value-based care requires significant changes in how healthcare providers are reimbursed and evaluated, which can be difficult to implement across large healthcare systems. Additionally, measuring recovery outcomes accurately can be complex.

Time to Impact: 4-6 years
Potential Impact:  High
STEEP Segment: Economic

This year’s trend development

Summary: Wearable devices are becoming increasingly important in monitoring patients' recovery progress, providing real-time data on vital signs, mobility, and adherence to rehabilitation programs.

Current Situation: Wearables such as fitness trackers and heart rate monitors are already widely used, but their application in monitoring recovery from surgeries or chronic conditions is still evolving. Most wearable devices provide general health data rather than specialized recovery insights.

Expected Trend Development: Over the next 5-10 years, wearable technology will be tailored for post-surgical recovery and rehabilitation, allowing healthcare providers to monitor recovery progress remotely. This will lead to more personalized care and quicker adjustments to recovery plans based on real-time data.

Challenges: Data privacy concerns, accuracy issues, and the need for healthcare providers to integrate wearables into treatment plans are significant barriers. Additionally, not all patients may be willing or able to use wearable devices consistently.

Time to Impact: 2-4 years
Potential Impact: High
STEEP Segment: Technological

This year's trend development

Summary: Artificial Intelligence (AI) is transforming treatment and recovery by enabling personalized treatment plans that are tailored to each patient’s unique health data, leading to more effective and faster recovery outcomes.

Current Situation: AI is already being used in healthcare to analyze large datasets, but its application in creating personalized recovery plans is still in the early stages. Most treatment plans are based on general population data rather than individualized patient profiles.

Expected Trend Development: In the next decade, AI-powered platforms will create personalized treatment and recovery plans that consider patients’ genetic profiles, medical history, and real-time health data. This will result in more targeted treatments and improved recovery outcomes.

Challenges: High costs, data privacy concerns, and the need for large datasets to train AI models are significant challenges to the widespread adoption of AI in personalized recovery.

Time to Impact: 4-6 years
Potential Impact: Very High
STEEP Segment: Technological

This year's trend development

Summary: Insurers and healthcare providers are increasingly focused on ensuring that healthcare infrastructure is climate-resilient, particularly in regions vulnerable to extreme weather events and natural disasters.

Current Situation: Climate change is impacting healthcare systems, with hospitals and clinics facing disruptions due to flooding, storms, and heatwaves. Many healthcare facilities are not equipped to handle the effects of climate change.

Expected Trend Development: Over the next 10-15 years, insurers will prioritize coverage and incentives for healthcare facilities that invest in climate-resilient infrastructure, such as flood defenses, renewable energy, and disaster preparedness systems. This will reduce risks and improve healthcare continuity in crisis situations.

Challenges: Upgrading healthcare infrastructure to be climate-resilient requires significant investment, which may be challenging for lower-income regions. Additionally, insurers will need to carefully assess climate risks in different regions.

Time to Impact: 6-8 years
Potential Impact: High
STEEP Segment: Ecological

This year’s trend development

Summary: As telemedicine becomes a core part of healthcare delivery, insurance providers are increasingly integrating telehealth services into their plans, expanding access and reducing costs for both patients and providers.

Current Situation: Telemedicine surged in popularity during the COVID-19 pandemic, but its integration into insurance plans varies widely. Some insurers fully cover telehealth services, while others offer limited support.

Expected Trend Development: In the next 5-10 years, telemedicine will become a standard feature in health insurance plans, offering full coverage for virtual consultations, remote monitoring, and digital health services. This will improve access to care, especially for remote or underserved populations.

Challenges: Ensuring equitable access to telemedicine, particularly for individuals without reliable internet or digital literacy, and addressing regulatory issues around licensing and reimbursement are key challenges.

Time to Impact: 2-4 years
Potential Impact: High
STEEP Segment: Technological

This year's trend development

Summary: Consumers are increasingly seeking personalized health insurance plans tailored to their specific needs, driving insurers to offer more flexible, customizable coverage options.

Current Situation: Many insurance plans are standardized, offering little room for personalization. This often leaves policyholders paying for services they don’t need or lacking coverage for specific health concerns.

Expected Trend Development: Over the next decade, insurers will expand personalized offerings, allowing individuals to customize coverage based on their health profiles, lifestyle, and preferences. This will lead to more patient-centered insurance models.

Challenges: Creating truly personalized plans can be complex and costly for insurers, and ensuring affordability while maintaining coverage quality may be difficult.

Time to Impact: 2-4 years
Potential Impact: High
STEEP Segment: Social

This year's trend development