Market Note: Website Building Platforms and the AI Stack

Market Note: Website Building Platforms and the AI Stack

Introduction

The website building platform market has experienced significant growth in recent years, with a growing number of users leveraging these platforms to create professional websites and online stores. As artificial intelligence (AI) technologies continue to advance, website building platforms are increasingly incorporating AI capabilities to enhance user experience, improve website performance, and automate various tasks.

Market Size According to industry experts, the global website builder market is expected to reach $13.6 billion by 2026, growing at a CAGR of 6.0% from 2021 to 2026 (MarketsandMarkets, 2021).

Within this market, the AI-powered website building segment is projected to experience significant growth, driven by the increasing adoption of AI technologies across various layers of the AI stack.
The AI stack consists of several layers, each representing a specific aspect of AI development and deployment.

1. AI Chips & Hardware Infrastructure
2. AI Frameworks & Libraries
3. AI Algorithms & Models
4. AI Data & Datasets
5. AI Application & Integration
6. AI Distribution & Ecosystem
7. Human-AI Interaction

Vendor Rankings Based on the patent analysis across the seven-layer AI stack, the vendors are ranked as follows:

1. WordPress (Total: 51)
2. Shopify (Total: 39)
3. Squarespace (Total: 29)
4. BigCommerce (Total: 24)
5. Webflow (Total: 22)
6. Wix (Total: 18)
7. Duda (Total: 14)
8. GoDaddy (Total: 13)
9. Strikingly (Total: 6)

Company Notes:

1. WordPress (Total: 51): WordPress has the most comprehensive AI stack coverage among the compared vendors, with patents in all layers except AI Chips & Hardware Infrastructure. To maintain its competitive edge, WordPress should focus on further enhancing its capabilities in AI Application & Integration and AI Algorithms & Models.

2. Shopify (Total: 39): Shopify demonstrates a strong presence in AI Application & Integration, AI Algorithms & Models, and AI Data & Datasets. However, it lacks patents in AI Collective and Knowledge Sharing and AI Chips & Hardware Infrastructure. Shopify should consider investing in these areas to provide a more comprehensive AI solution.

3. Squarespace (Total: 29): Squarespace has a strong presence in AI Application & Integration and AI Algorithms & Models layers. However, it lacks patents in AI Frameworks & Libraries and AI Chips & Hardware Infrastructure. To improve its competitive position, Squarespace should focus on developing capabilities in these areas.

4. BigCommerce (Total: 24): BigCommerce has a strong presence in AI Application & Integration and AI Algorithms & Models. To further enhance its AI capabilities, BigCommerce should consider investing in AI Frameworks & Libraries and explore opportunities in AI Collective and Knowledge Sharing.

5. Webflow (Total: 22): Webflow has a moderate presence in AI Application & Integration and AI Algorithms & Models. To strengthen its position, Webflow should consider investing in AI Data & Datasets and explore opportunities in AI Frameworks & Libraries and AI Distribution & Ecosystem.

6. Wix (Total: 18): Wix has a moderate presence across the AI stack but lacks patents in AI Frameworks & Libraries and AI Chips & Hardware Infrastructure. To strengthen its AI capabilities, Wix should invest in these layers and enhance its offerings in AI Algorithms & Models and AI Application & Integration.

7. Duda (Total: 14): Duda has a relatively weaker presence across the AI stack compared to its competitors. To improve its AI offerings, Duda should prioritize investments in AI Application & Integration, AI Algorithms & Models, and AI Data & Datasets.

8. GoDaddy (Total: 13): GoDaddy has a limited presence across the AI stack. To catch up with competitors, GoDaddy should focus on enhancing its capabilities in AI Application & Integration, AI Algorithms & Models, and AI Data & Datasets.

9. Strikingly (Total: 6): Strikingly has the weakest AI stack presence among the compared vendors. To improve its AI offerings, Strikingly should prioritize investments in AI Application & Integration, AI Algorithms & Models, and AI Data & Datasets. Additionally, Strikingly should explore opportunities in AI Distribution & Ecosystem and AI Frameworks & Libraries to provide a more comprehensive AI solution to its users.