[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-5-blockchain-ai-market-signals-for-buyers-zh":3,"article-related-5-blockchain-ai-market-signals-for-buyers-zh":32,"series-industry-c64ecc12-d2bf-419c-938f-407b6ae2d74c":81},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"c64ecc12-d2bf-419c-938f-407b6ae2d74c","5-blockchain-ai-market-signals-for-buyers-zh","5 個區塊鏈 AI 市場訊號","\u003Cp data-speakable=\"summary\">這篇整理 5 個\u003Ca href=\"\u002Ftag\u002F區塊鏈\">區塊鏈\u003C\u002Fa> AI 市場訊號，幫助買家判斷是否該提早布局、先從哪類用途切入。\u003C\u002Fp>\u003Cp>根據市場預測，區塊鏈 AI 產業將從 2025 年的 US$ 7.40 億成長到 2034 年的 US$ 64.41 億，年複合成長率達 27.18%。看完這 5 項，你可以更快決定是先試點\u003Ca href=\"\u002Fnews\u002Fhow-to-set-up-openclaw-safely-zh\">安全\u003C\u002Fa>、流程自動化，還是直接評估供應商與預算。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>2025 規模\u003C\u002Fth>\u003Cth>2034 規模\u003C\u002Fth>\u003Cth>CAGR\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>區塊鏈 AI 市場\u003C\u002Ftd>\u003Ctd>US$ 7.40 億\u003C\u002Ftd>\u003Ctd>US$ 64.41 億\u003C\u002Ftd>\u003Ctd>27.18%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>北美\u003C\u002Ftd>\u003Ctd>領先區域\u003C\u002Ftd>\u003Ctd>領先區域\u003C\u002Ftd>\u003Ctd>N\u002FA\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>亞太\u003C\u002Ftd>\u003Ctd>快速成長\u003C\u002Ftd>\u003Ctd>快速成長\u003C\u002Ftd>\u003Ctd>N\u002FA\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>機器學習\u003C\u002Ftd>\u003Ctd>主要技術\u003C\u002Ftd>\u003Ctd>主要技術\u003C\u002Ftd>\u003Ctd>N\u002FA\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 市場規模正在快速放大\u003C\u002Fh2>\u003Cp>最直接的訊號就是市場本身夠大，而且還在加速。\u003Ca href=\"https:\u002F\u002Fwww.theinsightpartners.com\u002Freports\u002Fblockchain-ai-market\">The Insight Partners\u003C\u002Fa> 預估，區塊鏈 AI 市場會從 2025 年的 US$ 7.40 億，成長到 2034 年的 US$ 64.41 億。這種幅度通常代表買方已經開始把它從概念驗證，往正式採購與部署推進。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780556577201-iu8x.png\" alt=\"5 個區塊鏈 AI 市場訊號\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對買家來說，這不是單一功能的短期熱潮，而是涵蓋基礎架構、軟體與服務的長期機會。若你的產品路線已經包含\u003Ca href=\"\u002Fnews\u002Fstride-training-data-attribution-sparse-recovery-zh\">資料\u003C\u002Fa>治理、可信 AI 或自動化流程，現在就值得把這個類別納入年度規劃。\u003C\u002Fp>\u003Cul>\u003Cli>2025 市場規模：US$ 7.40 億\u003C\u002Fli>\u003Cli>2034 市場規模：US$ 64.41 億\u003C\u002Fli>\u003Cli>預測期間 CAGR：27.18%\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 安全與可稽核性是核心買點\u003C\u002Fh2>\u003Cp>這份資料最明確的需求驅動，來自安全。區塊鏈提供難以竄改的紀錄，AI 則能更快偵測異常、詐欺與濫用，兩者結合後，很適合處理敏感資料、受監管交易與高頻資料流。\u003C\u002Fp>\u003Cp>如果你的現有 AI 架構常被質疑資料完整性、權限控管或稽核追蹤，這類方案就有明顯價值。對多數企業而言，真正值得先做的，不是最炫的\u003Ca href=\"\u002Fnews\u002Faudio-language-models-arbitration-reversals-zh\">模型\u003C\u002Fa>，而是能把風險壓低、把責任說清楚的系統。\u003C\u002Fp>\u003Cul>\u003Cli>資料完整性檢查\u003C\u002Fli>\u003Cli>詐欺偵測\u003C\u002Fli>\u003Cli>未授權存取監控\u003C\u002Fli>\u003Cli>法遵稽核軌跡\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 自動化正從試點走向營運\u003C\u002Fh2>\u003Cp>另一個重要訊號，是智慧自動化開始變成實際營運工具。像智慧合約這類應用，能把規則驗證與執行流程自動化，減少人工審批造成的延遲，也降低跨部門協調成本。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780556572822-4pc4.png\" alt=\"5 個區塊鏈 AI 市場訊號\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這對已經在用 AI 做預測或分類的團隊特別有用，因為區塊鏈可以讓後續動作更可追蹤、更不容易出錯。常見場景包括付款結算、合規提醒與供應鏈路由。\u003C\u002Fp>\u003Ccode>可落地的流程例子\u003Cbr>- 自動執行合約\u003Cbr>- 付款結算自動化\u003Cbr>- 合規觸發警示\u003Cbr>- 庫存與路線最佳化\u003C\u002Fcode>\u003Ch2>4. 機器學習仍是主力技術\u003C\u002Fh2>\u003Cp>在技術組合裡，\u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FMachine_learning\">Machine Learning\u003C\u002Fa> 仍是最重要的段落，因為它支撐預測分析、詐欺偵測與商業智慧。NLP 也在透過聊天機器人與虛擬助理擴張，電腦視覺則在製造、醫療診斷與安全監控中加速落地。\u003C\u002Fp>\u003Cp>這代表市場不是單一產品在競爭，而是多種能力疊加。供應商可以做單點工具，也可以做整合平台，把 AI 模型、區塊鏈紀錄與治理機制包在一起。\u003C\u002Fp>\u003Cul>\u003Cli>機器學習：預測分析、詐欺偵測\u003C\u002Fli>\u003Cli>NLP：聊天機器人、客服工具\u003C\u002Fli>\u003Cli>電腦視覺：診斷、檢測、監控\u003C\u002Fli>\u003Cli>情境感知運算：自適應決策支援\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 早期採用者已經很清楚\u003C\u002Fh2>\u003Cp>目前最明確的早期買家包括 BFSI、醫療、製造與電信。BFSI 需要詐欺偵測、身分驗證與法遵支援；醫療看重病歷安全與研究流程；製造與電信則更在意可視性、安全與營運控制。\u003C\u002Fp>\u003Cp>供應商名單也顯示這個市場已經有新創與成熟玩家同場競爭，例如 \u003Ca href=\"https:\u002F\u002Fbext360.com\">Bext360\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fblackbird.ai\">BLACKBIRD.AI\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fburstiq.com\">BurstIQ\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fchainhaus.com\">Chainhaus\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.corescientific.com\">Core Scientific, Inc.\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fcyware.com\">Cyware Labs\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Ffetch.ai\">Fetch.ai\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fnetobjex.com\">NetObjex\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fneurochaintech.io\">NeuroChain\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fsingularitynet.io\">SingularityNET\u003C\u002Fa>。\u003C\u002Fp>\u003Ch2>怎麼挑\u003C\u002Fh2>\u003Cp>如果你是買家，優先從安全、詐欺偵測、法遵與稽核這類場景開始，因為價值最容易量化，風險也最容易說服內部。若你想先看到營運效率，智慧合約與付款流程通常是最快的切入點。\u003C\u002Fp>\u003Cp>如果你是供應商或投資人，最值得注意的是 27.18% 的成長率、企業端已經成形的需求，以及未來中小企業被雲端工具帶動後的擴張空間。對 BFSI 與醫療，現在就值得提早布局；對製造與電信，則應把可視性與自動化放在前面。\u003C\u002Fp>","5 個市場訊號指出，區塊鏈 AI 可能從 2025 年的 7.4 億美元成長到 2034 年的 64.41 億美元。","www.openpr.com","https:\u002F\u002Fwww.openpr.com\u002Fnews\u002F4536192\u002Fblockchain-ai-market-analysis-by-key-players-bext360",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780556577201-iu8x.png","industry","zh","766fde38-6207-4196-b720-4cd718bfd3ad",[17,18,19,20,21,22,23],"區塊鏈 AI","市場訊號","市場規模","智慧合約","機器學習","法遵","詐欺偵測",[25,26,27],"市場規模從 2025 年的 US$ 7.40 億成長到 2034 年的 US$ 64.41 億，顯示買方需求正在升溫。","安全、可稽核性與法遵是最強買點，適合先從高風險流程切入。","機器學習仍是主力技術，早期採用者集中在 BFSI、醫療、製造與電信。",3,"2026-06-04T07:02:25.523387+00:00","2026-06-04T07:02:25.492+00:00","da242733-a19a-4cb7-b706-05f8699aa19e",{"tags":33,"relatedLang":40,"relatedPosts":44},[34,35,36,37,38],{"name":21,"slug":21},{"name":18,"slug":18},{"name":20,"slug":20},{"name":19,"slug":19},{"name":17,"slug":39},"區塊鏈-ai",{"id":15,"slug":41,"title":42,"language":43},"5-blockchain-ai-market-signals-for-buyers-en","5 blockchain AI market signals for buyers","en",[45,51,57,63,69,75],{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":13},"3d7ff80a-4045-4b66-9e21-b6a8eb3b6f6d","openai-europe-privacy-policy-zh","OpenAI 歐洲隱私政策更新重點","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781052479369-yomr.png","2026-06-10T00:47:31.176745+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":13},"69002c63-177a-4723-9e63-d28506f08edd","openai-ads-sensitive-chats-policy-zh","OpenAI把廣告擋在敏感對話外是對的","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781051578409-en02.png","2026-06-10T00:32:23.404084+00:00",{"id":58,"slug":59,"title":60,"cover_image":61,"image_url":61,"created_at":62,"category":13},"ea98a8c9-ebe1-4258-8a2b-b0d82b25deed","ai-bootlegs-streaming-royalties-stick-figure-zh","AI bootlegs 正在抽走串流版稅","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781050681742-3rdh.png","2026-06-10T00:17:31.017287+00:00",{"id":64,"slug":65,"title":66,"cover_image":67,"image_url":67,"created_at":68,"category":13},"20d0b5fc-a363-481d-86b2-e30276a49e92","amd-microsoft-windows-ml-acceleration-zh","AMD 與 Microsoft 把 Windows ML 推進 GPU 與 N…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781047980407-vd5p.png","2026-06-09T23:32:31.304436+00:00",{"id":70,"slug":71,"title":72,"cover_image":73,"image_url":73,"created_at":74,"category":13},"9a0692ba-a9c5-42eb-823d-8a0e6e6ae3fc","openai-ipo-filing-turns-hype-into-scrutiny-zh","OpenAI IPO 讓神話變審核","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781042614962-bj12.png","2026-06-09T22:03:04.524304+00:00",{"id":76,"slug":77,"title":78,"cover_image":79,"image_url":79,"created_at":80,"category":13},"40d4f012-36b6-4b8f-b470-30242a0b8483","skatteetaten-public-sector-ai-should-be-judged-by-outcomes-zh","Skatteetaten 證明公部門 AI 應該看成果，不是看噱頭","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781038986405-p8cf.png","2026-06-09T21:02:32.1198+00:00",[82,87,92,97,102,107,112,117,122,127],{"id":83,"slug":84,"title":85,"created_at":86},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":88,"slug":89,"title":90,"created_at":91},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":93,"slug":94,"title":95,"created_at":96},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":98,"slug":99,"title":100,"created_at":101},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":103,"slug":104,"title":105,"created_at":106},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":108,"slug":109,"title":110,"created_at":111},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":113,"slug":114,"title":115,"created_at":116},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":118,"slug":119,"title":120,"created_at":121},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":123,"slug":124,"title":125,"created_at":126},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":128,"slug":129,"title":130,"created_at":131},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]