生命科學領域的人工智慧識別：2026 年的發展趨勢

過去一年，人工智慧如何改變了生命科學的工作流程？哪些人工智慧解決方案已成為研究人員的必備工具，哪些又令人失望？科學家真的信任人工智慧生成的結果嗎？這種看法又在發生怎樣的變化？

《生命科學領域人工智慧認知報告（2026版）》是一份權威報告，清楚展現了生命科學專業人士的現況。該報告基於來自北美、歐洲和亞太地區443位研究人員的回饋，追蹤了自2023年和2025年調查以來，人工智慧的認知、應用和使用模式的變化，並提供了團隊所需的基準數據和市場信息，助力他們自信地採取行動。

今年的報告從可靠性、透明度和監管準備等新視角出發，同時著重分析了企業在人工智慧應用方面的意願與現狀之間的差距。無論貴公司是正在開發人工智慧產品、評估產品上市時間策略，還是追蹤不斷變化的競爭格局，這份報告都能提供洞見，幫助您更快、更明智地做出決策。

2026 年版旨在反映當前人們對人工智慧的看法，並重點關注以下目標：

• 了解人們對人工智慧融入當前工作流程的整體看法。
• 找出人工智慧最常見的應用領域以及人工智慧尚未滿足的需求領域。
• 了解人工智慧工作流程、人工智慧目前面臨的挑戰，以及人工智慧公司如何更好地滿足研究人員的需求。
• 找出正在開發人工智慧或積極將人工智慧融入其工作流程的關鍵組織。
• 評估人工智慧如何影響購買和招募行為。
• 確定 2023 年及以後人工智慧的認知度、使用情況和滿意度趨勢。

生物資訊學設計了線上定量調查來實現這些目標。

本報告所依據的研究是在 443 名科學顧問委員會 (SAB) 成員中進行的，該委員會是科學界的一個分支，表示願意參與市場研究活動。

目錄

• 1. 研究概述與目標
• 2.執行摘要
• 3. 人口統計數據
• 4. 生命科學領域人工智慧應用趨勢
• 5. 對人工智慧的看法
• 6. 人工智慧解決方案的商業提供商
• 7. 目前工作流程整合
• 8. 購買意願及影響因素
• 9.調查方法
• 10. 關於生物資訊學
• 11. 附錄

How has AI reshaped life science workflows in the past year? Which AI solutions have emerged as indispensable to researchers and which have fallen short? Do scientists genuinely trust AI-generated results, and how are those perceptions shifting?

The 2026 edition of Perceptions of Artificial Intelligence in the Life Sciences delivers a definitive read on where life science professionals stand today. Drawing on responses from n=443 researchers across North America, Europe, and APAC, this report tracks how sentiment, adoption, and usage patterns have evolved since the 2023 and 2025 studies to provide your team the benchmarks and market intelligence needed to act with confidence.

This year’s edition explores new attitudinal dimensions, including trust, transparency, and regulatory readiness, and introduces the gap between organizational desire to implement AI and current deployment. Whether your organization is building AI-enabled products, evaluating go-to-market strategy, or tracking how the competitive landscape is shifting, this report provides the insights to move faster and smarter.

The 2026 edition is a snapshot of current perceptions towards AI and will focus on the following objectives:

• Gather the general sentiment towards adoption of AI into current workflows
• Understand the applications for which AI is most commonly used and where there is an unmet need for AI
• Understand AI workflows, pain points with current AI, and how AI companies can better meet researcher needs
• Identify key organizations developing AI or actively employing AI in their workflows
• Evaluate how AI has impacted purchasing behavior and hiring behavior
• Identify trends in AI sentiment, usage, and satisfaction since 2023 and 2025

BioInformatics designed an online quantitative survey to address the objectives.

The survey this report was based on was fielded to n=443 respondents, members of the Science Advisory Board (SAB) — a segment of the scientific community with a demonstrated willingness to participate in market research activities.

For further details and to purchase directly, please contact us.

Table of Contents

• 1.Study Overview and Objectives
• 2.Executive Summary
• 3.Demographics
• 4.Trends in AI Adoption in the Life Sciences
• 5.Perceptions of AI
• 6.Commercial Providers of AI Solutions
• 7.Current Workflow Integration
• 8.Purchase Intent and Adoption Drivers
• 9.Methodology
• 10.About BioInformatics
• 11.Appendix