Notice
This article is based on Palantir’s official website, official technical materials, and investor materials publicly available through July 31, 2026.
The company’s business structure and market environment may change after this date.
Some parts include DANA NOTES’ analysis and commentary based on publicly available materials.
What This Article Covers
In the previous article, we looked at Palantir as an enterprise software company that connects the data and AI of companies and government organizations to actual business operations.
Then where do Palantir’s competitive strengths come from?
There are companies that manage corporate data, and there are also many companies that provide AI technology.
What distinguishes Palantir is that it does not stop at collecting data or providing a single AI function. It seeks to connect the process so that the results of understanding and analyzing data lead to actual business operations and decision-making.
This structure is considered one of Palantir’s main competitive strengths.
1. Connecting Corporate Data to Actual Business Structures
Corporate data is mostly stored in the form of numbers and codes.
However, employees do not work by looking at rows and columns in a database.
In a manufacturing company, for example, decisions are made around entities that exist in actual business operations, such as factories, production lines, equipment, products, orders, and inventory.
Palantir makes it possible to connect scattered data according to these actual business structures.
For example, users can connect and view which products are included in an order, which production line makes those products, and whether there is enough inventory of the required components.
Palantir calls this structure Ontology.
Simply put, it is similar to a map that reconnects a company’s complex data according to the way the company actually works.
Once this structure is created, it becomes easier to go beyond analyzing data and connect it to actual business operations, such as changing production plans or moving inventory.
2. Making AI Usable in Actual Business Operations
As generative AI advances, many companies are trying to adopt AI.
However, using an AI service such as ChatGPT and applying AI to a company’s core operations are different matters.
To use AI within a company, it must be connected to internal data, and different information access permissions for different employees must also be applied.
Companies also need to determine what tasks AI can perform and which actions require human approval.
Palantir focuses on building this kind of environment.
Palantir’s AIP (Artificial Intelligence Platform) is a platform that allows multiple AI models to be connected to a company’s data and business operations.
An important point is that Palantir does not depend on one specific AI model for its entire business.
Even when new AI models emerge, companies can apply different models while continuing to use the data and business structures they have already connected.
In other words, Palantir is closer to a company that creates an environment where businesses can actually use AI than a company that builds the best AI model.
3. Solving Problems Directly at Customer Sites
Another characteristic of Palantir is that its approach is somewhat different from simply selling software to customers and ending there.
Palantir uses an approach in which engineers closely examine customers’ actual business problems and apply software.
This approach is called FDE (Forward Deployed Engineering).
For example, if a manufacturing company has a supply chain problem, Palantir does not simply explain how to use an existing program. It solves the problem while examining what data is needed and how the actual business process works.
What is important here is that a solution created for one customer does not end with being used only for that customer.
If a function can also be used by other companies, it can be incorporated into Palantir’s common products.
In other words,
Solve a customer’s problem → identify the necessary functions → improve the product → apply it to other customers
is a process that repeats.
The fact that experience gained at customer sites leads back to product development is one of Palantir’s characteristics.
4. Experience Operating in Difficult Government and Defense Environments
Palantir did not begin in the general enterprise software market.
It started its business by working with the U.S. government and intelligence agencies and later expanded into the defense sector.
Government and defense organizations often need to operate software in more demanding environments than ordinary companies.
The information they handle is sensitive, and user access permissions are also complex.
There are also systems that cannot connect to the internet or environments where ordinary cloud services cannot be used.
Palantir has experience operating software in these kinds of environments.
This experience is not meaningful only in the defense sector.
Companies in industries such as finance, energy, and manufacturing may also need to manage data access in detail or operate across multiple IT environments because security and stability are important.
This is one of the reasons Palantir can target both government and defense organizations and the general enterprise market.
5. Expanding Technology Built Once Across Multiple Industries
The problems Palantir’s customers need to solve differ by industry.
Manufacturing companies manage production and supply chains, while airlines manage aircraft and flight schedules.
Hospitals need to manage patients, beds, and medical staff operations.
At first glance, these may seem like completely different problems.
From Palantir’s perspective, however, they have something in common.
Organizations need to connect data from multiple systems, understand the current situation, make necessary decisions, and then reflect those decisions in actual business operations.
Rather than building a completely new product from scratch for every industry, Palantir uses a common platform as the foundation for each company’s business structure.
As a result, technology and experience gained in one industry can be expanded into other industries.
This can be described as platform scalability.
It is one of the reasons Palantir can expand its business across different industries such as manufacturing, healthcare, aviation, and energy.
Summary of Palantir’s Competitive Strengths
| Competitive Strength | In Simple Terms |
|---|---|
| Data connected to business operations | Connects scattered data according to the way a company actually works |
| Enterprise AI utilization | Connects AI to internal corporate data and actual business operations |
| Customer-site-focused development | Solves problems on-site and uses that experience to improve products |
| Government and defense operating experience | Experience gained in environments with demanding security and operating conditions |
| Platform scalability | Expands one technology foundation across multiple industries and customers |
Palantir’s competitive strengths do not exist separately. They are connected to one another.
The company organizes corporate data according to business structures and then connects AI on top of that foundation.
Problems discovered at customer sites are used again to improve products, and the resulting technology is expanded to other companies and industries.
This is also what distinguishes Palantir from companies that simply provide data analytics software.
Expanding from Government-Centered Business into the Enterprise Market
Palantir has long been well known for its work with the U.S. government and defense sector.
However, its business targeting general companies has also been growing rapidly in recent years.
In 2025, Palantir’s total revenue was approximately $4.48 billion.
Of this, government revenue was approximately $2.4 billion, while commercial revenue from general businesses was approximately $2.07 billion.
Compared with the previous year, government revenue increased by 53%, while commercial revenue increased by 60%.
Government business is still larger, but the gap between the two segments is not large.
For Palantir, an important point is to show whether the technology it has used in government and defense can continue to be selected by general businesses.
Growth in the commercial segment is one indicator of whether Palantir is expanding its market from a government-centered software company into an enterprise data and AI platform company.
What Are Palantir’s Risks?
Having strengths does not mean Palantir is free from competition.
The first point to consider is that there are many competitors.
Large cloud companies and data platform companies are already competing in the enterprise data and AI market.
These companies are also continuing to expand their data analytics and enterprise AI capabilities.
This is why Palantir needs to continue maintaining its current differentiation.
Another point is that Palantir’s software is designed to connect deeply with a company’s data and actual business operations.
Once properly implemented, its use can be expanded, but the initial adoption process requires an understanding of the company’s data and business structure.
Government and defense business also continues to have a significant influence.
Government contracts can be large, but they can be affected by government budgets, policies, and contracting processes.
The rapid pace of change in the AI market is another variable.
As new AI technologies and competing products continue to emerge, Palantir must also continue developing its current technological strengths.
What to Watch Going Forward
Whether Palantir’s competitive strengths can continue can be understood by looking at three main areas.
The first is whether it can continue growing in the general enterprise market.
Palantir grew through its work with the U.S. government and defense sector, but it has recently been expanding into the general enterprise market across industries such as manufacturing, aviation, healthcare, and energy.
However, large cloud companies and data platform companies are already competing in the enterprise data and AI market.
It will be important to see whether Palantir can continue acquiring general enterprise customers and maintain growth in its commercial business amid this competition.
The second is how widely AIP is used in companies’ actual business operations.
Using AI experimentally is different from using it in core operations such as production, supply chains, and healthcare.
An important point is whether Palantir can continue expanding AIP beyond a simple AI experimentation tool and into companies’ actual business operations.
The third is how widely one platform can be expanded across multiple industries.
Palantir applies the same technology foundation to different industries such as manufacturing, aviation, healthcare, and energy.
The work required in each industry is different, but the basic structure of connecting data, analyzing it, and then using it in actual business operations has common elements.
Therefore, if technology and experience gained in one industry can also be used in another, it becomes easier to expand into new markets.
How widely Palantir can expand its current technology foundation across industries and customers is another point to watch going forward.
DANA NOTES Commentary
The easiest way to understand Palantir’s competitive strengths is to distinguish between a company that builds AI and a company that builds an environment where AI can work.
Having a good AI model does not mean that a company’s work can immediately be automated.
The corporate data that AI will use must be prepared, and the relationships between different types of data must be understood.
Different access permissions for different employees must also be applied, and companies need to determine how far AI is allowed to act.
This is the area Palantir focuses on.
It connects corporate data according to actual business structures, adds AI on top of that foundation, and then connects it to actual decision-making and business operations.
Therefore, when looking at Palantir’s competitive strengths, the important question is not “Can Palantir build the best AI?”
“When companies and government organizations want to use AI in actual business operations, can Palantir continue to be selected as a necessary platform?”
When looking at Palantir going forward, it is useful to focus on this question.
