{"id":1043,"date":"2025-11-20T10:45:35","date_gmt":"2025-11-20T01:45:35","guid":{"rendered":"https:\/\/www.mindware-jp.com\/en\/?page_id=1043"},"modified":"2025-11-26T16:30:42","modified_gmt":"2025-11-26T07:30:42","slug":"generative-ai-market-perception-maps","status":"publish","type":"page","link":"https:\/\/www.mindware-jp.com\/en\/generative-ai-market-perception-maps\/","title":{"rendered":"Generative AI Market Perception Maps"},"content":{"rendered":"\n

Emerging Market Perception Map Series powered by ConceptMiner<\/mark><\/p>\n\n\n\n

\u25a0 Overview<\/strong><\/h3>\n\n\n\n

Generative AI Market Perception Map<\/strong>s are a collection of companies, technologies, use cases, and products in the generative AI market that have been structured using ConceptMiner’s Growing Batch Neural Gas + Minimum Spanning Tree technology<\/strong>, and organized into multiple Perception Maps (conceptual structure maps).<\/p>\n\n\n\n

This is not a typical research report. It is a completely new type of knowledge product that uses large-scale language models (LLMs) and data mining technology to structure and conceptually map text information and supplementary data collected from the internet. This provides quick and in-depth insight into the overall picture and structure of the generative AI market, including participating companies, technological trends, and challenges, and helps you formulate your company’s strategy.<\/p>\n\n\n\n

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\u25a0 Release date<\/strong><\/h3>\n\n\n\n

January 9, 2026<\/strong> (First release: Version 1.0)<\/p>\n\n\n\n

After that, we plan to release several updated versions (1.1\/1.2) including additional models.<\/p>\n\n\n\n

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\u25a0 Included Perception Maps (examples)<\/strong><\/h3>\n\n\n\n

Because the Generative AI field has many companies and complex categories,
we will gradually release approximately 30-35 models<\/strong> across Versions 1.0-1.2.<\/p>\n\n\n\n

Below are some representative examples (subject to adjustments at the time of official release).<\/p>\n\n\n\n

Models(sample)<\/h4>\n\n\n\n
    \n
  1. Platform LLM Vendor Positioning Map<\/strong>
    (Structural Comparison of Major LLMs, Features, and Applications)<\/li>\n\n\n\n
  2. Open Source LLM\/Closed LLM Classification Map<\/strong>
    (Bipolarized Ecosystem Structure)<\/li>\n\n\n\n
  3. Multimodal AI Model Technology Map<\/strong>
    (Integrated Models for Images, Video, Audio, and Text)<\/li>\n\n\n\n
  4. RAG\/Vector DB Infrastructure Map<\/strong>
    (Document-Based Technology Structure)<\/li>\n\n\n\n
  5. Generative AI x Productivity Tools Map<\/strong>
    (Document Generation, Summarization, Email Support, etc.)<\/li>\n\n\n\n
  6. Industry Use Case Map <\/strong>(Medical\/Legal\/Education)
    (Application Cluster Breakdown)<\/li>\n\n\n\n
  7. Strategic Positioning Map of Generative AI Players<\/strong>
    (Structural Relationships from Large Companies to Startups)<\/li>\n<\/ol>\n\n\n\n
    \n\n\n\n

    \u25a0 Notable trends (analysis and commentary)<\/strong><\/h3>\n\n\n\n

    The generative AI market is undergoing the following structural changes simultaneously.
    The Perception Maps in this theme are optimized to understand these changes as “structures.”<\/p>\n\n\n\n

    1. “Multimodal” models become the standard<\/strong><\/h4>\n\n\n\n

    AIs are rapidly moving from text-centric LLMs to integrated multimodal models<\/strong>
    that include images, video, audio, and code.<\/p>\n\n\n\n

    2. The rapid rise of the open source model<\/strong><\/h4>\n\n\n\n

    HuggingFace models, Qwen, Llama, and others are rapidly expanding,
    and the polarization with closed models<\/strong> is becoming clearer.<\/p>\n\n\n\n

    3. Integration with Agentic AI (multi-agent)<\/strong><\/h4>\n\n\n\n

    We are moving from an era in which generative AI operated independently
    to a framework in which multiple AIs share roles and accomplish tasks<\/strong>.
    Connection with workflow AI\/business automation is progressing.<\/p>\n\n\n\n

    4. Inference cost optimization (cost war) is in full swing<\/strong><\/h4>\n\n\n\n

    Companies are competing in the following areas:<\/p>\n\n\n\n