PharmXplorer AI is a shift from observation to deep insights — an intelligent system that understands the language of the pharmaceutical market and turns information into management decisions.
This tool is designed for those who work with analytics every day and want to see the connections and trends behind the numbers. It helps pharma professionals find answers faster, evaluate the effectiveness of strategies, and identify new opportunities for growth. Thanks to artificial intelligence, working with data becomes intuitive and precise—without extra steps, delays, or manual calculations. PharmXplorer AI combines advanced algorithms with Proxima Research’s industry expertise, opening a new format of analytics available to every professional in the field.
The Role of Artificial Intelligence in Pharmaceutical Analytics
According to an IBM study [1] :
– About 42% of surveyed enterprise-level companies (with more than 1,000 employees) report actively implementing artificial intelligence in their operations.
– Another 40% are currently exploring or experimenting with AI but have not yet deployed their own models.
– However, 59% of companies that are already exploring or implementing AI say they have accelerated its adoption or investments in this technology.
– Two-thirds of enterprises in the EMEA region report a significant increase in productivity thanks to AI.
This confirms: AI is no longer a “novelty” and has become a tool of strategic management. AI in the pharmaceutical industry is becoming a key driver of business transformation.
Companies are increasingly moving from linear reports to intelligent interpretation of information. The focus is on processing speed, the ability to find patterns, and to provide forecasts based on reliable sources. Using artificial intelligence for analytics in pharma ensures process automation and improves the accuracy of managerial evaluations.
Modern pharmaceutical data analysis involves processing multidimensional datasets that require high accuracy and speed of interpretation:
In this environment, artificial intelligence solves three fundamental tasks:
- Reduces analysis time from hours to seconds.
- Minimizes the impact of human bias when interpreting information.
- Ensures analytical integrity — unified principles of calculation, classification, and visualization.
AI is becoming the core link of the pharma market’s analytical ecosystem. Its development creates the prerequisites for next-generation intelligent platforms. PharmXplorer AI by Proxima Research is a new AI assistant for pharmaceutical analytics. It embodies the shift from traditional data processing to intelligent decision support, capable of unifying disparate data arrays, detecting trends, and supporting strategic planning.
What Makes PharmXplorer AI Unique
PharmXplorer AI was developed by Proxima Research International, based on 30 years of experience in healthcare market analytics.
The solution combines the technological capabilities of artificial intelligence with the accuracy of Market Audit — the largest and most trusted source of information in Ukraine’s pharmaceutical industry. This approach ensures transparency, comparability of indicators, and analytical depth necessary for effectively evaluating market dynamics. The application of AI has turned classical analytics into a convenient everyday tool for managers, researchers, and business leads.
PharmXplorer is an AI assistant for pharma—an intelligent interface that understands the professional context. It already correctly interprets information by INN, ATC, and EphMRA classifiers, groups products by active ingredient, distinguishes dosage forms, and continues to evolve.
The system can process non-standard business queries and understand plain “human language,” for example:
- “What is the sales trend for the azithromycin group?”
- “Show the top-5 brands in the antihypertensive segment.”
- “How did brand X’s share change over the past year?”
The response is generated in 10–20 seconds and includes aggregated indicators (in UAH, packs, DDD), visualizations, an analytical summary, and concise conclusions. In addition, the system builds charts, rankings, and group dynamics, calculates MS (Market Share) and EI (Evolution Index), maintains dialogue context, and provides detailed answers even to incomplete questions. This level of automation makes AI analytics in pharma a professional-class tool that combines speed, accuracy, and expert depth.
PharmXplorer AI relies on its own Market Audit knowledge base and effectively uses intelligent algorithms that refine queries and detail results. This allows users — from data analysts and marketing teams to business unit leaders—to obtain reliable information in real time without turning to BI systems or manually generating reports to find quick answers.
Advantages for Pharmaceutical Companies
PharmXplorer AI provides real operational flexibility for pharmaceutical companies. The tool combines high precision of analytical calculations with ease of data access, shortening the path from query to result. It helps business teams make fact-based decisions rather than assumptions and adapt quickly to market changes. Thanks to built-in intelligent algorithms, AI analytics for pharma becomes an integral part of everyday operations.
Key benefits:
- Speed and accessibility. Analytical queries are processed in seconds, accelerating preparation for strategy sessions, budget planning, and internal presentations. Available in web and mobile versions.
- Reduced team workload. Managers receive information directly — without BI analysts and without reporting queues.
- Data correctness. Answers are based on verified sources and standardized classifiers (ATC, EphMRA, INN), which eliminates errors in segmentation.
- Scalability of solutions. One tool can be used at the level of local offices, regions, and, prospectively, international divisions.
The emergence of such technologies is shaping a new culture of interacting with data. AI solutions for pharmaceutical companies make analytical processes faster and more convenient than with the traditional approach. They ensure a unified logic of calculations and interpretation of indicators across all company units. PharmXplorer AI demonstrates how artificial intelligence can raise management efficiency, accelerate business response, and strengthen control over key metrics.
How AI Changes the Approach to Pharma Analytics
With the emergence of AI tools for pharma, the approach to analytics has become fundamentally different — more dynamic, accurate, and adaptive.
PharmXplorer AI shows how AI analytics in pharmaceutical research transforms analytical logic. Now, artificial intelligence not only processes data but interprets its meaning—identifying patterns, tracking trends, generating structured overviews, and helping researchers and managers focus on strategic decisions.
This approach changes the very logic of analytics: the focus shifts from processing numbers to understanding context. Smart data analysis in pharma means time savings and a new format for working with information:
- AI integrates internal and external datasets, forming a complete market picture.
- Automatically selects relevant drug classes by ATC and INN.
- Formulates analytical conclusions comparable to expert interpretations.
PharmXplorer AI changes the philosophy of analysis—from manual search and verification to contextual understanding of market trends. As a result, business analytics in pharma becomes more predictable, fact-based, and objective. This equips research units and company analytical departments with a tool that helps make confident decisions with accelerated implementation.
The Future of Analytics in the Pharmaceutical Industry
The trajectory is clear: AI for pharma is becoming an integral element of corporate analytics. Data-driven decisions are no longer viewed as a competitive advantage—they are becoming the standard of management.
PharmXplorer AI by Proxima Research shows how artificial intelligence accelerates analytical processes and forms a new model of interaction — from query to meaningful result. This tool makes working with information transparent, adaptive, and predictable. Such an approach is changing the decision-making culture within companies: analytics becomes a constant part of the operational cycle, and its interpretation — the foundation of strategic planning.
This evolution reflects a shift from numbers to action—from retrospective observation to proactive management. AI analytics for the pharmaceutical industry is gradually forming a new paradigm in which the speed of interpretation, the reliability of sources, and the ability to make instant decisions play the key role.
PharmXplorer AI represents a new era of analysis in which artificial intelligence turns numbers into actionable knowledge. It sets future standards — precision, speed, and depth of understanding — that all participants in the pharmaceutical market will look up to.
The Proxima Research team is open to dialogue and to demonstrating the system’s capabilities to industry professionals.
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Sources:
- IBM. Data Suggests Growth in Enterprise Adoption of AI is Due to Widespread Deployment by Early Adopters, But Barriers Keep 40% in the Exploration and Experimentation Phases. Jan 10, 2024.
