The Dominance of ChatGPT in the Corporate AI Tool Market: Insights from Ragate's Latest Survey

The Rise of ChatGPT in the Corporate AI Tools Landscape

In a recent report published by Ragate Inc., based on a survey conducted among 505 business professionals in the information systems and digital transformation sectors, it has been revealed that ChatGPT has secured an impressive 45.5% share of the corporate AI tools market. Following closely are Copilot for Microsoft 365 at 33.9% and Google Gemini at 30.7%. This survey sheds light on the evolving dynamics of the AI tools landscape, especially against the backdrop of the explosive growth of generative AI tools expected between 2024 and 2025.

Background of the Survey

With the rapid advancements in generative AI, major players like ChatGPT, Gemini, and Copilot are continuously enhancing their features to cater to enterprise needs. This proliferation of options has left many companies grappling with the question, "Which tool should we choose?" To address this dilemma, Ragate's survey aims to elucidate the practical usage and selection criteria for generative AI tools, thereby assisting enterprises in making informed decisions regarding AI implementation.

Key Findings of the Survey

1. ChatGPT's Unmatched Market Share

The survey findings emphasize that ChatGPT has become the preferred generative AI tool for nearly half of the responding companies, reinforcing the perception that 'generative AI = ChatGPT'. This dominance stems from its early introduction to the market and continuous feature enhancements. In contrast, both Copilot for Microsoft 365 and Google Gemini have managed to establish their foothold among approximately one-third of the respondents each, leveraging their integration within Microsoft and Google ecosystems to expand their user base.

2. Enterprise-Focused AI Services Gain Traction

Interestingly, certain enterprise-specific cloud AI services are also making their mark in this evolving landscape. These include Google Vertex AI at 8.2%, Azure OpenAI Service at 7.7%, and Amazon Bedrock at 5.6%. Such services attract companies that prioritize high security and seamless integration with existing cloud infrastructures like Azure, GCP, and AWS.

3. Key Selection Criteria for AI Tools

The primary criteria for selecting generative AI tools were identified as follows:

- Compatibility with existing IT environments (for instance, selecting Copilot for Microsoft 365 or Gemini for Google Workspace)
- Primary use cases (including document creation, data analysis, and code generation)
- Security requirements (spanning from standard to high-level security needs)
- Cost structures (whether based on user fees or API consumption)

Ragate's Insights and Future Outlook

The survey's outcomes indicate a shift from straightforward performance comparisons to evaluations centered around integration with existing systems and tailored use cases. It is anticipated that ChatGPT’s dominant market share will persevere in the foreseeable future; however, companies embedded in ecosystems like Microsoft 365 and Google Workspace are expected to increasingly adopt solutions like Copilot and Gemini to maintain operational coherence.

Moreover, the trend of employing multiple tools is on the rise, leading organizations to optimize usage according to specific needs: for example, utilizing ChatGPT for general tasks while integrating Copilot for business-specific applications.

At Ragate, we are committed to assisting businesses in navigating these complexities. By providing comprehensive support in selecting and implementing the most suitable generative AI tools, we empower organizations to analyze their operational challenges and IT environments accurately. With methodologies such as BPMN analysis for operational visualization, our goal is to propose a toolkit that maximizes ROI and accelerates AI utilization.

For Companies Facing Challenges in AI Tool Selection

The survey underscores a three-pronged market structure led by ChatGPT, Copilot, and Gemini. However, many organizations are still uncertain about choosing the ideal tool or establishing an internal production system post-implementation.
Our company specializes in supporting internal automation initiatives using no-code AI tools, allowing firms to promote AI usage even in the absence of engineers. Our assistance includes:

- AI Transformation (AX) Support: By leveraging value chain analysis, we identify opportunities for departmental AI utilization and establish a no-code development environment through Dify. This enables the realization of comprehensive AX.
- SaaS Metrics and KPI Design: From designing key metrics (LTV/NRR) to serverless development on AWS, we facilitate a seamless integration of strategy and technology.

If your organization requires support in tool selection or hosting solutions on AWS, feel free to reach out for consultation.