XAION DATA Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Yasuhide Sato; hereinafter referred to as "the Company"), a developer and provider of AI data platforms and AX solutions, conducted a "Survey on the Status of AX (AI Transformation) Promotion" targeting 200 individuals involved in AI and DX promotion at companies with 1,000 or more employees nationwide. As investments in AI, including generative AI, accelerate, companies' focus is shifting from "whether to introduce AI" to "how to leverage invested AI to enhance business performance and decision-making." The key to this is creating an environment where AI can understand and utilize necessary data for decision-making, in other words, an "AI Ready" environment. No matter how advanced the AI introduced, if internal data is fragmented, inconsistent in format and quality, and not connected with external data, the AI's basis for judgment will be limited, making it difficult to generate results. This release explores from the survey results why traditional data infrastructure alone is insufficient for companies investing in AI, and why an "AI Ready data platform" is becoming an important next investment theme. ▍Survey Overview This survey examines the progress of AI investment in enterprise companies and the challenges in data environments and AI readiness that hinder the generation of results. 79.0% of Enterprise Companies Implement AI in Operations; AI Investment Moves to Departmental/Company-Wide Levels 74.5% Have Introduced DWH/Data Lakes, but Face Challenges in "AI-First" Design Over 70% Face the "AI Ready" Hurdle. Data Fragmentation, Quality, and External Data Integration are Key Issues External Data Utilization is Advancing, but Challenges Remain in Connecting with Internal Data 76.0% Report "Improved AI Judgment Accuracy" Through External Data Integration ▍Survey Results 79.0% of Enterprise Companies Implement AI in Operations; AI Investment Moves to Departmental/Company-Wide Levels When ask