Corporate AI Adoption at 57%, but Only 29% in Sales—'Missing Data' is the Bottleneck Hindering Sales DX in Japan. MEDIUM Announces Vision for 'Sales Data Platform' to Automatically Structure Primary Meeting Data
MEDIUM Inc. points out that while corporate AI adoption is high, sales frontline usage is low due to 'data missing'. To solve this, they are enhancing their sales data platform 'STRIX' to automatically structure meeting data.
📋 Article Processing Timeline
- 📰 Published: April 2, 2026 at 17:40
- 🔍 Collected: April 2, 2026 at 09:03
- 🤖 AI Analyzed: April 21, 2026 at 07:23 (454h 20m after Collected)
MEDIUM Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Shotaro Seki), which promotes DX in sales strategies, defines the structural challenge of AI utilization in Japanese sales organizations as "missing sales data" and announces the enhanced provision of 'STRIX' as a sales data platform that automatically accumulates and structures primary information from business meetings.
## ■ Corporate AI adoption in Japan is accelerating. However, only sales are left behind
The adoption of generative AI among Japanese companies is progressing rapidly. According to NRI's "Actual Status of IT Utilization Survey 2025," companies that have already implemented generative AI reached 57.7%, an increase of 24 points in just two years from 33.8% in 2023 (*1). Yano Research Institute predicts that the adoption rate will reach 80% to 90% in the near future (*2).
Figure: Status of Introduction or Consideration of New Technologies
Image source: NRI (Nomura Research Institute, conducted "Actual Status of IT Utilization Survey (2025)" targeting Japanese companies, November 2025)
**However, this wave has not sufficiently reached the sales frontlines.**
According to HubSpot's "Awareness and Actual Condition Survey on Sales in Japan 2025" (6th edition), **the utilization rate of generative AI in sales activities is 28.9%.** Although it has improved from 21.1% the previous year, there is still a disconnect of about 29 points compared to the overall corporate AI adoption rate of 57.7% (*3).
Image source: PR TIMES (HubSpot announced the results of the Awareness and Actual Condition Survey on Sales in Japan 2025, February 2025)
## ■ Why is only sales left behind from AI utilization? The structure of "Data Missing"
For generative AI to support the sales process, primary information is necessary to judge "what to propose" and "which deals have risks." **However, in actual sales frontlines, problems represented by "data silos" and "data abstraction" are occurring.**
## ■ Corporate AI adoption in Japan is accelerating. However, only sales are left behind
The adoption of generative AI among Japanese companies is progressing rapidly. According to NRI's "Actual Status of IT Utilization Survey 2025," companies that have already implemented generative AI reached 57.7%, an increase of 24 points in just two years from 33.8% in 2023 (*1). Yano Research Institute predicts that the adoption rate will reach 80% to 90% in the near future (*2).
Figure: Status of Introduction or Consideration of New Technologies
Image source: NRI (Nomura Research Institute, conducted "Actual Status of IT Utilization Survey (2025)" targeting Japanese companies, November 2025)
**However, this wave has not sufficiently reached the sales frontlines.**
According to HubSpot's "Awareness and Actual Condition Survey on Sales in Japan 2025" (6th edition), **the utilization rate of generative AI in sales activities is 28.9%.** Although it has improved from 21.1% the previous year, there is still a disconnect of about 29 points compared to the overall corporate AI adoption rate of 57.7% (*3).
Image source: PR TIMES (HubSpot announced the results of the Awareness and Actual Condition Survey on Sales in Japan 2025, February 2025)
## ■ Why is only sales left behind from AI utilization? The structure of "Data Missing"
For generative AI to support the sales process, primary information is necessary to judge "what to propose" and "which deals have risks." **However, in actual sales frontlines, problems represented by "data silos" and "data abstraction" are occurring.**