What Lifescience Marketers Told Us

We surveyed marketing professionals across the life sciences industry—from biotech to pharma—to explore how AI is transforming their strategies. The findings highlight adoption trends, common tools, pain points, and future priorities.

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🚀 Adoption Is Accelerating

Yes
No

Does your company currently use AI in marketing?

67% of lifescience companies already use AI in marketing

Less that a year
1-2 years
3+ years

How long have you been using AI in marketing?

55%: have been using it for 1–2 years

35%: for less than a year

10%: for over 3 years

AI is still new for many, but momentum is clearly building.

🤖 CRM & AI Integration

CRM adoption is balanced: 25% each use Salesforce, HubSpot, others, or no CRM at all

Yes, but AI features are limited
No, but we are considering adding AI
No, and we don’t plan to add AI
I don`t know
Yes, fully integrated AI features

Does your CRM system have AI-powered features integrated?

40% of CRM systems include AI functionality

60% are either considering AI, don’t plan to add it, or aren’t sure

🧩 AI integration into marketing infrastructure is still emerging.

💬 AI Is Core to Lifescience Marketing

75% say AI is an important part of their Marketing

Chatbots
AI-generated content
Predictive Analytics
AI-powered personalization
Other
AI-powered email marketing
I don`t know

Which AI-powered tools do you currently use for marketing?

Most-used AI tools:

60%: Chatbots

40%: AI-generated content

30%: Predictive analytics

20%: Personalization

10%: Email automation

🧠 Leading AI Platforms

OpenAI
Microsoft Copilot
Anthropic, Google Gemini

Which AI platforms do you use most?

95%: OpenAI (ChatGPT, DALL·E, Whisper)

40%: Microsoft Copilot

15% each: Anthropic Claude and Google Gemini

👑 OpenAI is the dominant AI platform for Lifescience marketers today.

🎨 Content & Workflow Automation Still Limited

Not using so far
Canva Magic Studio
Other
Midjourney / Stable Diffusion
I don't know

Which AI-powered content creation platforms do you use?

35% not using AI-powered content platforms

65% not using AI workflow automation

65% not using AI agent platforms

💡 Plenty of room to grow in automation adoption.

🎯 Primary Use Cases

AI is most used for:

Content Creation
Market Research & Competitive Intel
Personalization
Lead Generation
Sales Forecasting
Regulatory Compliance
Event Marketing & Outreach

How has AI impacted your marketing?

85%: Content creation

60%: Market research

55%: Personalization

50%: Lead generation

💥 Marketing Impact

Reduced marketing costs
No noticeable impact yet
Increased lead gen
Improved engagement

Please select all the purposes for which you have used AI tools this year?

50%: Report marketing cost savings

20%: Increased lead gen

10–15%: Improved engagement with HCPs, patients, or conversions

30%: No noticeable impact yet

📉 While results vary, cost reduction is the standout benefit.

🔧 Automation Maturity

70% of Lifescience Marketers automate up to 25% of marketing using AI

25% of Marketers automate up to 50% of their Marketing

Only 5% automate more than 75% of their marketing activities

🚨 Most are still in the early phases of automation.

✍️ What Types of Content Are AI-Generated?

Social media posts
Email campaigns
Blog articles
AI-generated videos/images

Which AI-generated content types do you use?

80%: Social media posts

55%: Email campaigns

50%: Blog posts

35%: Videos/images

🧠 Top-of-funnel content dominates AI generation.

📣 How Do Customers Respond?

More engagement
Less engagement
No difference
Do not know

How do your customers respond to AI-generated content?

45%: No noticeable difference

30%: More engagement

10%: Less engagement

📈 Investment Is Set to Grow

Increase
Maintain current level
Do not know
Decrease

How will your AI investment change over the next 12 months?

60% plan to increase AI investment

40% plan to maintain current levels

0% plan to reduce spending

🔮 Future AI Priorities

AI-driven marketing
AI-driven predictive analytics
AI-powered content creation
AI-powered sales
Other

Which future AI capabilities interest you the most?

What marketers want next:

63%: AI-driven marketing

57% each: Predictive analytics & content creation

37%: AI-powered sales

📌 Strategic automation and advanced insights are top of mind.

What about the marketers
who DON’T currently use AI?

 

🚧 Why Aren’t Some Using AI Yet?

No perceived need for AI
Lack of expertise
Unclear ROI
Other
Regulatory concerns

What are the reasons you haven't used AI tools?

Among non-users, top reasons were:

44%: No perceived need

33%: Lack of expertise

33%: Unclear ROI

11%: Regulatory concerns

🕵️ Interestingly, none cited AI being too expensive.

🤔 AI Adoption Outlook for Non-Users

Yes
No
Not sure

Do you plan to start using AI in the next 12 months?

18% plan to start using AI within 12 months

64% are unsure

8% have no plans yet

Final Word

The future of AI in life science marketing is clear: early adopters are gaining ground, especially in content and cost-efficiency. However, widespread automation, deeper CRM integration, and advanced use cases like AI-powered sales are still ahead.

Marketers who start preparing now will be ahead of the curve—both strategically and competitively.

NANOBOT is ready to help you to navigate in the ocean of AI apps and integrations. Let`s catch up to discuss recent AI updates!