In recent years, rapid and non-linear advances in science and technology--such as generative artificial intelligence, quantum technologies, and green transformation--together with the growing need to address complex societal challenges including environmental sustainability, and declining birthrate and population aging, have increasingly compelled industry to move away from a traditional in-house research paradigm. Against this backdrop, this study aims to identify the structural challenges confronting academia-industry collaboration in Japan and to clarify emerging forms of collaboration that companies and universities have begun to implement in response. In particular, the study examines why the previously dominant "individual-to-individual" joint research model is losing effectiveness, what alternative collaborative mechanisms are now emerging, and what significance these new arrangements carry. To this end, the analysis draws on quantitative data, in-depth corporate interviews, and case studies from both Japan and abroad.

Chapters 1 and 2 review recent policy developments related to academia-industry collaboration and visualize the current state of collaboration in Japan using objective data. Focusing on three principal pathways --joint research, intellectual property licensing, and university startups-- the analysis reveals that while the number of collaborative activities continues to increase, growth in scale and qualitative depth on a per-project basis remains limited. As a result, these activities have not been sufficiently leveraged for medium- to long-term business creation or competitiveness. In the case of joint research, the number of projects has increased, yet investment per project has stagnated. Similarly, despite increases in patent filings and licensing agreements, licensing revenue per case remains low. University startups also exhibit a substantial gap between the growing number of new ventures and the realization of sustained growth or successful exits. At the same time, the analysis identifies early signs of a structural shift in academia-industry collaboration, moving from relationships centered on individual researchers toward longer-term, more comprehensive "organization-to-organization" partnerships.

Chapter 3 explores the background to this structural transition through qualitative analysis based on corporate interviews. The findings indicate that companies have increasingly constrained investment in university joint research due to dissatisfaction with conventional collaboration models, in which research objectives and expected outcomes are often vaguely defined at the outset. Moreover, as research themes become more complex and long-term, individual-to-individual collaboration has proven ill-suited to incorporating new hypotheses or derivative themes that emerge during the research process, thereby limiting the ability of corporations to respond to volatile business environments. With respect to intellectual property, the companies we interviewed pointed to the prevalence of jointly owned patents and narrow scopes of rights as factors constraining business value creation. Regarding university startups, interviewees highlighted difficulties in attracting investment due to shortages of managerial talent and insufficient technological distinctiveness. Taken together, these findings underscore the limitations of fragmented, point-based collaboration models and suggest that a shift toward more comprehensive frameworks has become unavoidable.

In response to these structural challenges, Chapter 4 examines the effectiveness and limitations of what this report terms "comprehensive organization-to-organization collaboration." Unlike conventional joint research centered on predefined themes, this model involves universities and companies sharing a long-term vision and committing organizational resources under explicit agreement between top management on both sides. In many cases, such collaborations include the on-site residency of corporate researchers and the establishment of dedicated facilities within university campuses, enabling the continuous pursuit of exploratory research. This approach facilitates a virtuous cycle encompassing the generation of new research themes, the expansion of human and knowledge networks, and the linkage of research outcomes to business applications. As such, comprehensive organization-to-organization collaboration is beginning to function as an institutional mechanism that supports the "systematic proximity between science and business." From this perspective, it holds significant potential as an ecosystem well suited to the characteristics of academia-industry collaboration in Japan and may continue to expand in scope and scale.

Chapter 5 focuses on the concept of "innovation districts" as one possible response to structural challenges in ecosystem formation through academia-industry collaboration. Case studies from cities such as Cambridge（around Massachusetts Institute of Technology）and Pittsburgh demonstrate how the geographic concentration of universities, companies, startups, investors, and support organizations enhances the mobility of research and entrepreneurial talent and fosters the continuous value creation of new research and business opportunities through cross-disciplinary and serendipitous interactions. These districts have accelerated the social implementation of university-based technologies and the growth of startups, while embedding self-reinforcing cycles of capital, talent, and knowledge within the region. This process contributes not only to innovation but also to broader urban and regional economic vitality. Taken together, these cases demonstrate that the formation of places where research, business, and everyday life overlap at high density can amplify the outcomes of academia-industry collaboration and function as a catalyst for accelerating innovation. Although such models cannot be directly replicated in Japan due to differing institutional and social contexts, efforts to promote "spatial and activity-based proximity" through campus openness and integrated development with surrounding areas may represent a meaningful direction for advancing academia-industry collaboration.

The overall conclusion presented in Chapter 6 is that, in an increasingly complex and uncertain business environment, conventional individual-to-individual joint research models are no longer sufficient to generate the innovation demanded by industry. One viable methodological response to this structural challenge lies in the "strategic alignment between industry and academia." Historically, collaboration has been hindered by institutional barriers, cultural differences, and physical distance.

As detailed in this report, however, proximity achieved through comprehensive organization-to-organization collaboration at the level of systems and operations, combined with proximity enabled by innovation districts in spatial and activity-based terms, offers a promising means of overcoming these barriers.

Academia-industry collaboration in Japan has now reached a stage where it must move beyond transactional relationships and technology transfer toward "genuine co-creation," jointly exploring uncertain futures and generating new social value. The expansion of such approaches holds the potential to further deepen and accelerate Japan's innovation ecosystem as a whole.

• (in Japanese) Structural Challenges in Academia-Industry Collaboration and Directions for Improvement