How to use AI to analyze the competitive landscape of pipelines?
Necessity of Drug Competitive Landscape Analysis
Pharmaceutical professionals, including R&D personnel, marketing managers, and business development (BD) staff, need to understand their competitors' landscape, assess their own products' market position, and formulate R&D strategies or market entry strategies. Pharmaceutical investors, on the other hand, are concerned with return on investment and need to evaluate the potential and risks of projects to avoid investment failures.
More specifically, the drug competitive landscape workflow is applicable to the following scenarios:
R&D Teams: Quickly validate the feasibility of project initiation, identify market and technology directions with "hot targets" and "value gaps"
Marketing Departments: Predict the launch rhythm of competitors' products and prepare for differentiated market education strategies
BD Departments: Evaluate the competitive landscape of license-in and license-out projects
Investors: When searching for and constructing investment targets, balance high-risk, high-return and low-risk, stable-return pipeline portfolios, while capturing undervalued clinical-stage assets
Pain Points in Drug Competitive Landscape Analysis
Similar to the cumbersome data collection process mentioned in the product introduction for Database - Clinical Results, the same problem exists in the analysis of the drug competitive landscape. We need to search through search engines and manually organize the data, with many data sources and low efficiency of manual collection.
In addition to data collection and organization, data analysis itself also has certain pain points. When there is a lot of raw data in front of us, we will face the problem of information overload, and how to analyze and find the patterns among them is also difficult.
For the analysis of a small number (10-20) of drugs/indications, after sorting data into an Excel table, we can clearly see the industry landscape on a single computer screen.
However, when dealing with dozens of drugs, or even complex, multi-dimensional research (e.g., company/clinical stage/modality), we often turn to existing reviews or research reports (as shown above). These reports usually contain summarized industry trends and analyses, such as the concentration of development in certain indications or targets, and future trends.
While, in many cases, we need to conduct personalized research on a large number of drugs/indications, and no reviews or reports are available. At this point, it's very difficult to visually identify patterns. Users experienced with Excel might try sorting or pivot tables to find competitive landscape patterns, but each time they can only analyze a single dimension, and the choice of which dimension to analyze depends on individual experience, making the whole process quite cumbersome.
Introduction of Database - Drug Competition Landscape
In response to the issues highlighted previously, we have developed the Database - Drug Competition Landscape feature. This tool is designed to offer users a more streamlined, user-friendly, and intelligent workflow for conducting competitive landscape analysis of drugs.
Our Drug Competitive Landscape Analysis tool allows for quick and personalized analysis of the competitive drug landscape, revealing key industry patterns and dramatically improving work efficiency, ultimately streamlining complex tasks in the pharmaceutical sector. Its two key features are AI-powered industry analysis and Multi-dimensional Drug Analysis.
Feature Highlights of Database-Drug Competition Landscape
AI-powered industry analysis: Effortlessly select up to 100 drugs/indications and harness the power of AI to analyze the competitive landscape, discovering valuable insights into the industry
Multi-dimensional Drug Analysis: Supports competitive landscape analysis of the pharmaceutical industry from multiple perspectives such as target, modality, indication, and company, helping you comprehensively understand the market.
User Guide and Feature Highlights
To access the Drug Competition Landscape feature, you can click on "Database" in the sidebar and select "Drug Pipeline".
To start your research in Drug Competition Landscape, first select the drugs and indications you want to include in your analysis.
You can filter by entering at least one of the following: Drug Name, Company, Target, Drug Feature, Drug Modality, Route of Administration, Indication and Clinical Stage to see the corresponding drug and its indication information.
Just like the Database - Clinical Outcome Insights functionality, you can toggle the AI question box on or off by clicking the icon located in the middle-right section of the browser (see image). This is particularly useful when engaging in deep reading or when needing to interact with the AI assistant.
Highlight 1-Multi-dimensional Drug Analysis
After opening the AI question box, users can select up to 100 target drugs/indications in either card or list view. By entering specific questions in the AI question box, they can conduct competitive landscape analysis and uncover industry patterns.
Highlight 2-AI-powered industry analysis
Our platform enables users to analyze the competitive landscape of the pharmaceutical industry across multiple dimensions, such as target, modality, indication, and company. While we offer a range of pre-set, recommended questions covering common industry analysis angles, users also have the flexibility to input their own, personalized questions tailored to their unique business needs. To ensure the accuracy and reliability of the analysis, we advise users to keep questions concise and, if necessary, to approach complex inquiries through a series of simpler, sequential questions.
After submitting a question, the system will process it and analyze the relevant data to generate results. The NOAH AI analysis will be ready in moments.