SME AI Adoption Survey 2026 Released: Adoption Rate at Only 12%, Biggest Barrier is 'Not Knowing Where to Start'

Survey Summary ── 5 Key Findings

The important insights revealed in this survey are consolidated into the following 5 points.

SME AI adoption rate remains at about 12% — While large enterprises exceed a 40% AI adoption rate, SMEs are lagging significantly at approximately 12%. Although individual use of generative AI is spreading, organizational implementation into business processes is not progressing.

Biggest barrier is 'Don't know where to start' (62%) — The greatest hurdle is not technical difficulty or cost, but being unable to see the entry point for implementation. What SMEs lack are not 'tools' but a 'sparring partner/guide'.

The initial AI use case is 'Document processing & data entry' at 38% — The overwhelming majority of cases do not start with glamorous AI projects, but with the automation of daily routine tasks.

ROI can be recovered in 3-6 months for simple automation — If it is a partial automation of existing operations, a return on investment can be expected in a relatively short period.

The success rate of companies starting with a low-cost 'advisory' model is 3 times higher — Companies that first organized their issues using a generative AI advisor (from 50,000 JPY/month) have a retention and success rate about 3 times higher than those that immediately embarked on system development.

Survey Background ── Why investigate SME AI adoption now?

Since the emergence of ChatGPT in 2023, generative AI has rapidly penetrated the market. Major corporations are advancing their AI strategy formulation, and the business application of AI agents and multimodal AI will go into full swing in 2025-2026. On the other hand, for SMEs, which make up 99.7% of all companies in Japan, data comprehensively investigating the reality of AI adoption is extremely limited, and the real barriers faced by companies with fewer than 50 employees have not been sufficiently visualized.

Since its establishment in November 2024, Leach Co., Ltd. has supported over 40 SMEs and startups (including individuals) through its generative AI advisory service. They have witnessed firsthand the successes and failures of AI implementation in diverse fields, including construction, manufacturing, logistics, IT, entertainment, educational institutions, and listed company groups.

CEO Takuya Tominaga stated the following:

'What I heard repeatedly while supporting over 40 companies was the voice saying, "I know AI is important, but I don't know where to start." This is not a technology issue, but a problem of information and guidance. The purpose of this survey is to visualize the "true barriers" to SME AI adoption with numbers and present specific prescriptions.'

Survey Result 1: SME AI adoption rate is about 12% ── Over 3 times the gap with large enterprises

Synthesizing various industry surveys and interviews with our supported clients, the AI adoption rate for SMEs (300 employees or less) is estimated to be about 12%. 'Adoption' here refers not to individual use, but to the state where AI is integrated into internal business processes and continuously operated.

Estimated AI Adoption Rate by Company Size
Large enterprises (1,000+ employees): 42-48%
Mid-sized companies (300-999 employees): 25-30%
SMEs (50-299 employees): 15-18%
Small/Micro businesses (under 50 employees): 8-12%
*Calculated by synthesizing the Ministry of Internal Affairs and Communications' '2024 Information and Communications in Japan', IPA's 'DX White Paper 2025', various industry association surveys, and our support track record.

What is noteworthy is that there is a gap of more than 3 times between large enterprises and SMEs. This is not an issue of technology access, nor a difference in the 'presence of tools', but in the 'knowledge of utilization'. Of the over 40 companies we supported, only 30% had an AI strategy at the time of the initial interview.

Survey Result 2: AI Adoption Barrier Ranking ── 'Don't know where to start' tops at 62%

The barriers to AI adoption, organized based on interviews with our supported companies and SME managers, are as follows.

Reasons why SMEs hesitate to implement AI (Multiple answers allowed)
1st: Don't know where to start (62%)
2nd: Unsure if the cost will pay off (54%)
3rd: No AI talent in-house (48%)
4th: Security concerns (31%)
5th: Cannot gain management understanding (28%)
*Referring to interviews with our supported companies (n>40) and various industry surveys. Multiple answers allowed.

Barrier 1: 'Don't know where to start' (62%)

The vast majority of companies that come to us for consultation start their first sentence with, 'I know AI is important, but...'. ChatGPT, Claude, Gemini, Copilot, various industry-specific AIs ── there are too many choices to judge which is best for their own business, and the 'it can do anything' message from AI vendors actually blurs the specific utilization image.

This barrier is resolved not by 'learning' but by 'sparring/brainstorming'. Even if you gain knowledge through books or seminars, you cannot see how to apply it to your own business.