JAPAN Trends and Developments Contributed by: Haseru Roku and Yoshiteru Matsuzaki, Nagashima Ohno & Tsunematsu
flexibility, iterative development and ecosystem col- laboration – adaptation challenges that will determine whether partnership structures succeed or eventually require acquisition-based integration. IT Systems and Digital Transformation M&A The “2025 cliff”: legacy system modernisation imperatives Although leading Japanese enterprises pursue strate- gic AI investments, a PricewaterhouseCoopers (PwC) survey revealed that Japanese enterprises broadly lag behind the USA, the UK and China in effective utilisa- tion. This implementation gap reflects the “2025 cliff” – warnings of JPY12 trillion annual losses from aging IT systems – that materialised through widely pub- licised system failures at multiple major companies. These failures appear to reflect underlying structural issues: highly customised proprietary systems, inade- quate documentation creating “black boxes” depend- ent on veteran employee knowledge and organisa- tional weaknesses suggesting insufficient in-house IT expertise. These challenges have elevated IT system due diligence to critical M&A components, requiring rigorous assessment of legacy system conditions, IT professional availability and knowledge management practices. IT services sector consolidation Consolidation strategies: internal restructuring and external acquisition Japanese enterprises address IT capability gaps through two approaches: consolidating dispersed IT personnel within corporate groups or acquiring exter- nal IT service providers. Internal restructuring through group consolidation concentrates IT capabilities dispersed across group entities. Major group consolidations include NTT’s subsidiarisation of NTT Data (September 2025), Sumi- tomo Corporation’s JPY881.7 billion tender offer for SCSK (October–December 2025) and NEC’s JPY239 billion acquisition of NEC Networks & System Inte- gration Corporation, with additional mergers planned by TIS-INTEC, Panasonic and Fujitsu concentrating approximately 2,000–3,000 IT professionals per entity.
These transactions pool technical expertise to con- solidate and strengthen digital transformation capa- bilities, while eliminating parent-subsidiary listing structures creating governance conflicts. Tokyo Stock Exchange market reforms encouraging resolution of such arrangements have accelerated such consolida- tion activity. External expansion through workforce acquisition represents the second approach. Beyond internal restructuring, enterprises have intensified acquisi- tion activity targeting external IT service providers to secure IT personnel. Major 2024–25 transactions demonstrate this imperative: KKR’s JPY640 billion acquisition of FUJISOFT (May 2025) and SCSK’s JPY360 billion acquisition of NetOne Systems repre- sent strategic consolidation, while Accenture Japan’s acquisitions of Yumemi – involving approximately 400 user interface/user experience (UI/UX) professionals – and SI&C Group (approximately 1,500 IT profession- als) exemplify targeted workforce acquisition. Japan-US workforce strategy divergence Neither internal consolidation nor external acquisition is aimed at headcount reduction. Both concentrate technical personnel to strengthen IT service delivery. This contrasts sharply with US technology sectors, where AI-driven productivity has enabled workforce optimisation. Japan faces fundamentally different structural conditions: the Ministry of Economy, Trade and Industry (METI) projects an IT workforce shortage of 790,000 professionals by 2030. The USA achieved relative talent abundance through decades of comput- er science education expansion combined with high labour market fluidity, enabling large pools of mobile IT professionals. Japan’s constrained IT education capacity and limited labour market flexibility contrib- ute to persistent workforce shortages. Consequently, Japanese acquirers prioritise workforce acquisition to combine technical talent with AI-powered tools, generating capability gains, whereas US enterprises achieve efficiency through workforce optimisation. Emerging signals suggest potential shifts: AI-native startups have adopted selective hiring focusing on highly skilled engineering talent, suggesting AI tools enable smaller, advanced teams to achieve produc-
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