Items stated in the management plan
FormulatedSlowing growth in the consulting business, delays in addressing generative AI, continuing gaps between plans and actual results, rebuilding based on the lessons learned from the previous medium-term plan and to restore trust, and responding to structural changes in the generative AI market
| Item | Details |
|---|---|
| Plan name | New Medium-Term Management Plan, SHIFT2028 |
| Plan period | 2026-2028 |
| Progress against the plan | Formulated |
| Segment target | Segment Consulting business / Target fiscal year FY2025 / Sales Target Initial plan: ¥2,610–2,700 million; revised plan: ¥2,380 million, Segment Product Business / Target fiscal year FY2025 / Sales Target Initial plan: ¥400 million; revised plan: ¥410 million, Segment AI Agent Business / Target fiscal year FY2025 / Sales Target Initial business plan: ¥150–200 million; revised business plan: ¥220 million |
| Non-financial targets | Indicator New accounts acquired / Target value 15 or more / Timing FY2025, Indicator Retention rate for existing projects / Target value At least 80% / Timing FY2025, Indicator Technical personnel / Target value 141 people / Timing Initial plan, fiscal year 2025, Indicator Leaders / Target value 44 people / Timing Initial plan, fiscal year 2025 |
| Plan assumptions | The global generative AI market is expected to grow at an average annual rate of 53.3% from 2023 to 2030, reaching $211.0 billion in 2030. The manufacturing sector is expected to grow at an average annual rate of 54.0%, reaching $50.7 billion in 2030. The AI agent market is expected to grow at a CAGR of more than 85% or close to 90% from 2024 to 2029, while the generative AI market is expected to grow at a CAGR of more than 40%. The overall domestic AI market is expected to expand from ¥1.5 trillion to ¥3.0 trillion. The source for the global market data is JEITA, and the source for the AI agent market data is Fuji Chimera Research Institute's 2026 AI Agent Market Trends Survey. |
| Key initiatives | STEP 01 Transform the consulting business into a generative AI-driven business, STEP 02 Expand the AI agent business, STEP 03 Establish a recurring-revenue structure, Redesign management controls |
| Results under the previous plan | Revenue of ¥3.3 billion or more (initial plan), ¥3.0 billion (revised plan) → Revenue of ¥3,005 million and operating profit of ¥214 million (fiscal year 2025 actual results)(Revenue was 100% of the revised plan, and operating profit was 107% of the revised plan) |
| Reason for revision or withdrawal | Slowing growth in the consulting business, delays in addressing generative AI, continuing gaps between plans and actual results, rebuilding based on the lessons learned from the previous medium-term plan and to restore trust, and responding to structural changes in the generative AI market |
| Size of the Target Market | Global generative AI market: $10.6 billion in 2023, $67.1 billion in 2025, and $211.0 billion in 2030, representing average annual growth of 53.3%. Manufacturing sector: $50.7 billion in 2030, representing average annual growth of 54.0%. Overall domestic AI market: ¥1.5 trillion to ¥3.0 trillion. AI agent market: CAGR of more than 85% or close to 90% from 2024 to 2029. Domestic advertising and operations market for social media marketing: approximately ¥1 trillion. Sources: data provided by the Japan Electronics and Information Technology Industries Association (JEITA), announced on 21 December 2023, and Fuji Chimera Research Institute's 2026 AI Agent Market Trends Survey. |
| Risks identified | Difficulty differentiating the business as general-purpose LLMs become rapidly widespread, Accelerated entry of new generative AI-native companies, Customers moving away from reliance on external providers by bringing development in-house, Market outflows to a growing number of competitors and competitors with strong implementation capabilities, Shortage of personnel needed for generative AI and AI agent-related operations |
| Publication date | 14 May 2026 |
Items this document does not state (13)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.The company cites slowing growth in its consulting business, delays in addressing generative AI, continued gaps between its plans and actual results, the need to respond to the rapid expansion of the generative AI market, and the need to restore trust and rebuild management controls following the shortfall under the previous medium-term plan.