---
title: "Artificial Intelligence Software Industry: Companies, KPIs & Risks"
description: "Artificial intelligence software companies develop products that apply machine learning for prediction, automation and generation."
canonical: https://www.getswoopr.com/stocks/industries/information-technology/artificial-intelligence-software/
source: "Swoopr Investment: https://www.getswoopr.com"
---

# Artificial Intelligence Software Industry

## Direct Answer

Artificial intelligence software companies develop products that apply machine learning for prediction, automation and generation, sold as applications or platforms. Results depend on enterprise budgets, model costs and differentiation from larger platforms.

## Industry Overview

Artificial Intelligence Software sits within the information technology sector. The first numbers to compare across companies here are annual recurring revenue, net revenue retention and gross margin. The outside forces that move them are listed under Primary Macro Drivers.

## Key Industry Metrics

- **Annual recurring revenue**: Annualized value of subscription contracts for AI products. It shows how much revenue repeats, and growth matters most when paired with retention since experiments can end quickly.
- **Net revenue retention**: Spending by existing customers versus a year earlier. Above 100% shows customers expand usage and add features, while below 100% means cancellations and downgrades exceed growth within accounts.
- **Gross margin**: Revenue left after paying for cloud compute, model hosting and support. Compute-hungry AI products often earn less than classic software, so watch whether the reading improves as the product scales.
- **Customer count**: The number of paying organizations. Growth shows reach, but it should be read with spend per customer, since many small accounts and a few large ones tell different stories.
- **Research and development spending**: Money spent building models and products. High spending can fund a lead in a fast-moving field, but it should show up eventually as faster revenue growth or better margins.

## Primary Macro Drivers

- **Enterprise AI deployment**: Companies moving pilots into production buy more licenses and usage, which appears in annual recurring revenue and customer count before it reaches margins.
- **Cloud and data platform integration**: Connections to the cloud and data systems customers already use shorten deployment and raise adoption, supporting net revenue retention.
- **Falling compute cost**: Cheaper training and inference lower the cost of delivering each model output, helping gross margin and making more use cases affordable for customers.
- **Regulation and trust**: Rules on transparency and safety raise compliance work yet favor vendors with auditing and governance features; the effect appears in sales cycles and research spending.

## Major Risks

- **Competition from large platforms**: Large platforms can bundle comparable AI features with products customers already hold, pressuring growth and pricing; watch net revenue retention and customer count.
- **Unproven monetization**: If customers try AI but do not pay for it, usage may not turn into revenue; watch the gap between reported adoption and annual recurring revenue growth.
- **High compute spending**: Model training and serving are costly, so cost of revenue and research spending can grow faster than sales; watch gross margin and free cash flow.
- **Data and model risk**: Poor data, bias or model errors can harm customers and invite claims; watch disclosed incidents, contract liability terms and customer churn.

## Industry Characteristics

| Characteristic | Profile |
| --- | --- |
| Cyclicality | Mixed |
| Capital Intensity | Low |
| Regulatory Intensity | Low |
| Industry Maturity | Growth |
| Geographic Importance | U.S. / Global |

## Companies Associated with Artificial Intelligence Software

The SEC's Standard Industrial Classification has no code that describes artificial intelligence software as a group, so there is no complete list of its filers. The companies below come from Swoopr's SEC dataset and have operations in or next to the industry. Each is classified by the SEC under its own main business.

| Company | SEC classification | Revenue | Growth | Net margin | Year |
| --- | --- | --- | --- | --- | --- |
| [Palantir Technologies Inc.](https://www.getswoopr.com/stocks/companies/palantir-technologies/) | Services-Prepackaged Software | $4.5 billion | 56.2% | 36.3% | FY 2025 |
| [C3.Ai, Inc.](https://www.getswoopr.com/stocks/companies/c3-ai-inc/) | Services-Prepackaged Software | $250 million | -35.7% | -188.0% | FY 2026 |
| [Soundhound Ai, Inc.](https://www.getswoopr.com/stocks/companies/soundhound-ai-inc/) | Services-Prepackaged Software | $169 million | 99.4% | -0.0% | FY 2025 |
| [Bigbear.Ai Holdings, Inc.](https://www.getswoopr.com/stocks/companies/bigbear-ai-inc/) | Services-Prepackaged Software | $128 million | -19.3% | -230.3% | FY 2025 |

Source: each company's own annual report as filed with the SEC (XBRL data), figures in U.S. dollars. Listing here describes a business relationship to the industry, not a recommendation. To find more companies, use the [company directory](https://www.getswoopr.com/stocks/companies/) and the [information technology hub](https://www.getswoopr.com/stocks/industries/information-technology/).

## Where to Go Next

The Artificial Intelligence Software guide describes how the industry earns money, what to measure and what can go wrong. To see how it compares, read the neighbouring industries in the same sector, then apply the same checks to a specific company.

### More in Information Technology

- [Information Technology sector overview](https://www.getswoopr.com/stocks/industries/information-technology/)
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- [Application Software](https://www.getswoopr.com/stocks/industries/information-technology/application-software/)
- [Automotive Semiconductors](https://www.getswoopr.com/stocks/industries/information-technology/automotive-semiconductors/)
- [Application Security](https://www.getswoopr.com/stocks/industries/information-technology/application-security/)
- [Business Process Outsourcing](https://www.getswoopr.com/stocks/industries/information-technology/business-process-outsourcing/)
- [Analytics Software](https://www.getswoopr.com/stocks/industries/information-technology/analytics-software/)
- [Cloud Infrastructure Software](https://www.getswoopr.com/stocks/industries/information-technology/cloud-infrastructure-software/)
- [Analog Semiconductors](https://www.getswoopr.com/stocks/industries/information-technology/analog-semiconductors/)

### Put it to work

- [How to analyze a stock](https://www.getswoopr.com/stocks/how-to-analyze-a-stock/)
- [Fundamental analysis guides](https://www.getswoopr.com/learn/fundamental-analysis/)
- [Company research](https://www.getswoopr.com/stocks/companies/)
- [All industries](https://www.getswoopr.com/stocks/industries/)

## Frequently Asked Questions

What are the main KPIs for the Artificial Intelligence Software industry?

Key performance indicators for the Artificial Intelligence Software industry include: Annual recurring revenue, Net revenue retention, Gross margin, Customer count, Research and development spending. Which matter most depends on the company's model, so compare them across several companies rather than relying on one.

How cyclical is the Artificial Intelligence Software industry?

The Artificial Intelligence Software industry exhibits mixed cyclicality characteristics. Some segments move with the broader economy while others maintain more stable demand, making stock selection within the group particularly important.

What are the biggest risks in the Artificial Intelligence Software industry?

The primary risks for Artificial Intelligence Software companies include: Competition from large platforms, Unproven monetization, High compute spending, Data and model risk. Investors should assess each company's exposure to these factors and its track record of navigating them.

**[Swoopr Editorial Team](https://www.getswoopr.com/authors/swoopr-editorial-team/)**

Swoopr's editorial team produces independent investment education content reviewed for accuracy and clarity. We do not provide personalized financial advice. See our [editorial policy](https://www.getswoopr.com/legal/editorial-policy/) and [corrections policy](https://www.getswoopr.com/legal/corrections-policy/).