歐洲人工智慧副駕駛：市場佔有率分析、產業趨勢與統計及成長預測（2026-2031 年）

據 Mordor Intelligence 稱，2025 年歐洲 AI 副駕駛市場價值 58.2 億美元，2026 年價值 72.6 億美元，預計到 2031 年將達到 233.6 億美元，2026 年至 2031 年的複合年成長率為 26.33%。

本報告按副駕駛類型（例如，通用生產力副駕駛）、部署模式（雲端、混合、本地部署）、組織規模（大型企業、中小企業）、應用領域（例如，知識工作和生產力支援）、最終用戶行業（例如，銀行、金融服務和保險、零售和電子商務）以及地區進行細分。市場預測以美元價值 (USD) 表示。

歐洲人工智慧副駕駛市場的趨勢與洞察

企業對特定角色生產力自動化的需求日益成長

歐洲人工智慧輔助駕駛市場正受益於企業採購重點的明顯轉變，即轉向能夠消除特定職位重複性工作的工具。 2026年4月，微軟宣布Accenture已在全球74.3萬名員工中部署了Microsoft 365 Copilot，這是當時公開宣布的最大規模的企業人工智慧部署。 2026年6月，英國國家醫療服務系統（NHS England）確認，在90家機構參與的試點計畫之後，將於2026年10月前向50.5萬名臨床和支援人員開放Microsoft 365 Copilot的進入許可權。這項試點計畫顯示，員工每天平均可節省43分鐘的文書工作時間，並為大規模企業評估面向全體員工部署該工具的效果提供了一個具體的基準。學術研究也支持這一趨勢，2025年發表在《經濟學季刊》（The Quarterly Journal of Economics）上的一項研究表明，在所測量的環境中，人工智慧輔助使員工生產力平均提高了15%。隨著越來越多的大型公司證明人工智慧在特定任務中能夠節省時間並提高生產力，歐洲人工智慧副駕駛市場的需求正在從「可選的試點部署」轉向「計畫的營運預算」。

在整個知識工作流程中推廣生成式人工智慧的應用。

歐洲人工智慧輔助駕駛市場也受益於企業日常營運中人工智慧的廣泛應用。根據歐盟統計局的數據，到2025年，歐盟擁有10名或以上員工的企業中，將有19.95%的企業使用人工智慧技術，比2024年增加6.47個百分點。大型企業貢獻最大，員工人數在250人以上的企業中，人工智慧應用率高達55.03%。歐洲中央銀行（ECB）宣布，截至2025年第四季度，歐元區38%的企業將處於人工智慧應用的高階階段。歐洲央行的調查也發現，人工智慧應用顯著的企業預計未來三個月的銷售額將比未採用人工智慧的企業高出21%，這也是企業管理層不僅將輔助駕駛視為技術升級，更將其視為短期業務工具的原因之一。因此，隨著企業對人工智慧親和性，歐洲人工智慧輔助駕駛市場正在迎來買家的擴張，這些買家已經習慣了人工智慧驅動的工作流程，並正在轉向更系統化的實施。

企業對資料外洩和提示資訊揭露的擔憂

歐洲人工智慧輔助駕駛市場仍有許多猶豫，使用者和合規團隊對提示訊息、輸出結果和企業內容的處理方式仍有疑慮。根據歐盟統計局的報告，在考慮但最終未在2025年實施人工智慧的歐盟企業中，有48.83%的企業將資料保護和隱私問題是主要障礙。這在公共服務、醫療保健和其他內部內容通常包含個人資訊和受監管資訊的行業中尤為關鍵。英國國家醫療服務體系（NHS）的分階段部署也反映了大規模公共機構的謹慎態度，他們首先開展試點項目，然後逐步擴大用戶範圍，涵蓋數十萬用戶。微軟轉向國內資料處理進一步凸顯了資料處理問題的重要性，並影響了該地區的產品架構。在買家完全確信資料外洩風險得到妥善管理之前，歐洲人工智慧輔助駕駛市場將繼續面臨漫長的審查週期和在敏感環境中有限的初始部署。

細分市場分析

到2025年，通用型生產力輔助工具將佔據歐洲人工智慧輔助工具市場40.12%的佔有率。這反映了已廣泛應用於日常辦公室的綜合企業套件的早期優勢。歐洲人工智慧輔助工具市場最初正是透過這些工具實現擴張的，因為捆綁式進入許可權降低了已在使用Microsoft 365或Google Workspace等軟體的企業採用這些工具的門檻。諸如草稿撰寫、摘要、搜尋和任務輔助等常用功能比需要重新設計工作流程的高度專業化用例更容易實現。這使得通用型產品成為那些希望獲得實際成果而無需進行高級技術整合的企業的最佳切入點。這也使平台供應商在銷售方面獲得了領先優勢，因為採購部門可以擴展現有的軟體合約關係，而無需開闢全新的供應商管道。

目前，這種成長模式正在發生變化，預計到2031年，產業專用的人工智慧副駕駛將以28.84%的複合年成長率成長。 2026年5月，空中巴士宣布與Mistral AI建立合作關係，利用其產品套件進行航太工程任務，例如飛行安全支援、自動化技術文件產生和加速設計。這個例子說明了為什麼專業人工智慧副駕駛在歐洲人工智慧副駕駛行業中越來越受到關注，尤其是在那些比起廣泛的通用支持，精確性、術語規範和可管理部署更為重要的領域。功能性工作流程副駕駛在人力資源、財務和供應鏈流程中繼續發揮著至關重要的作用，因為它們與可重複性任務的關聯比純粹的生產力工具更為緊密。技術和工程類人工智慧副駕駛的功能也在不斷增強，西門子於2025年11月在TIA Portal 19和20版本中以託管服務的形式發布了“工程副駕駛TIA”，就體現了這一趨勢。

預計到2026年，基於雲端的部署將佔據71.24%的市場佔有率，這表明許多買家仍然傾向於快速部署、輕鬆更新和簡單的操作模式。如此高的市場佔有率也反映了主要軟體生態系統的影響力，這些生態系統透過企業用戶已經熟悉的「雲端優先」環境提供人工智慧輔助駕駛解決方案。因此，歐洲人工智慧輔助駕駛市場成長最快的群體是那些能夠採用標準商業產品且無需承擔重大託管限制的組織。對於尋求可預測的訂閱結構且不希望為人工智慧服務建立獨立內部基礎設施的企業而言，雲端仍然是一個極具吸引力的選擇。此外，對於資料敏感度低於高度監管業務職能的各種辦公室效率應用場景，雲端也同樣適用。

另一方面，混合部署預計到2031年將以29.16%的複合年成長率成長，這顯示隨著應用情境對資料控制要求日益提高，市場需求將朝著這個方向發展。微軟在歐洲範圍內擴展本地處理能力表明，即使是主要的雲端供應商也在適應日益成長的本地控制需求。 Aleph Alpha和STACKIT也將PhariaAI定位為“主權AI即服務”，透過完全託管在歐盟境內的基礎設施，向受監管的企業和公共機構提供該服務。在歐洲AI輔助駕駛市場，本地部署仍然是一個小眾選擇，但在國防、關鍵基礎設施和中央管理等領域發揮著至關重要的作用，因為在這些領域，異地處理不太可能獲得批准。因此，儘管雲端將繼續主導歐洲AI輔助駕駛市場，但對於那些需要在便利性和嚴格的資料處理法規之間取得平衡的工作負載而言，混合設計將是首選。

其他好處：

• Excel格式的市場預測（ME）表
• 3個月的分析師支持

目錄

第1章：引言

• 研究假設和市場定義
• 調查範圍

第2章：調查方法

第3章執行摘要

第4章 市場狀況

• 市場概覽
• 市場促進因素
  • 企業對能夠提高生產力並針對特定職位量身定做的自動化解決方案的需求日益成長。
  • 在整個知識工作流程中推廣生成式人工智慧的應用。
  • 在歐洲拓展微軟、Google和銷售團隊生態系統
  • 監管壓力促使數據管治和可追溯性方面採用可靠的副駕駛系統。
  • 向歐洲勞動力的多語言副駕駛介面過渡
  • 在高價值受監管營運中利用特定領域的副駕駛
• 市場限制因素
  • 企業對資料外洩和資訊即時外洩的擔憂
  • 與傳統企業應用程式整合的複雜性
  • 中型企業在尋求購買人工智慧解決方案時面臨的人工智慧管治挑戰。
  • 人工智慧軟體定期訂閱費用的預算審查
• 產業價值鏈分析
• 科技趨勢
• 監理情勢
• 波特五力分析

第5章 市場規模與成長預測

• 副駕駛的類型
  • 通用生產力副駕駛
  • 功能性工作流程副駕駛
  • 技術/工程副駕駛
  • 產業專用的副駕駛
• 不同的發展
  • 基於雲端的
  • 混合
  • 現場
• 按組織規模
  • 大公司
  • 小型企業
• 透過使用
  • 知識工作和生產力支持
  • 軟體工程和技術運營
  • 客戶和員工服務營運
  • 銷售、行銷和產生收入
  • 業務流程和公司運營
  • 受監管行業工作流程
• 按最終用戶行業分類
  • 資訊科技/通訊
  • BFSI
  • 醫療保健和生命科學
  • 零售與電子商務
  • 工業製造
  • 教育和研究機構
  • 媒體與娛樂
  • 政府/行政部門
  • 能源公用事業
  • 其他終端用戶產業
• 按地區
  • 德國
  • 英國
  • 法國
  • 俄羅斯
  • 西班牙
  • 其他歐洲國家

第6章 競爭情勢

• 市場集中度
• 策略趨勢
• 市佔率分析
• 公司簡介
  • Microsoft Corporation
  • Alphabet Inc.
  • Salesforce, Inc.
  • SAP SE
  • ServiceNow, Inc.
  • Oracle Corporation
  • Adobe Inc.
  • Atlassian Corporation Plc
  • Zoom Communications, Inc.
  • Zendesk, Inc.
  • HubSpot, Inc.
  • UiPath, Inc.
  • Writer, Inc.
  • Glean Technologies, Inc.
  • Cognigy GmbH
  • Cohere
  • Mistral AI SAS
  • Aleph Alpha GmbH
  • Intercom
  • Aisera, Inc.

第7章 市場機會與未來展望

According to Mordor Intelligence, the Europe AI copilot market size was valued at USD 5.82 billion in 2025, USD 7.26 billion in 2026 and is projected to reach USD 23.36 billion by 2031, growing at a CAGR of 26.33% during 2026-2031.

This report is Segmented by Copilot Type (Horizontal Productivity Copilots, and More), Deployment (Cloud-Based, Hybrid, and On-Premises), Organization Size (Large Enterprises, and Small and Medium Enterprises), Application (Knowledge Work and Productivity Assistance, and More), End-User Industry (BFSI, Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Europe AI Copilot Market Trends and Insights

Growing Enterprise Demand for Role-Specific Productivity Automation

The Europe AI copilot market is gaining from a clear shift in enterprise buying priorities toward tools that remove repetitive work in defined roles. Microsoft stated in April 2026 that Accenture had deployed Microsoft 365 Copilot to 743,000 employees globally, making it the largest publicly announced enterprise AI deployment at that time. NHS England confirmed in June 2026 that 505,000 clinical and support staff would receive access to Microsoft 365 Copilot by October 2026, following a pilot across 90 organizations. The same pilot showed average savings of 43 minutes per administrative task day, providing large employers with a concrete benchmark for evaluating workforce-wide rollout cases. Academic evidence also supports this direction, with a 2025 study in The Quarterly Journal of Economics finding that AI assistance raised worker productivity by 15% on average in the measured setting. As more large organizations validate time savings and output gains in defined tasks, the Europe AI copilot market is seeing demand move from optional testing into planned operating budgets.

Rising Adoption of Generative AI Across Knowledge Workflows

The Europe AI copilot market is also being lifted by a broader normalization of AI in day-to-day enterprise activity. Eurostat reported that 19.95% of EU enterprises with 10 or more employees used AI technologies in 2025, up by 6.47 percentage points from 2024. Large enterprises were the strongest contributors, with AI use reaching 55.03% among organizations with 250 or more employees. The European Central Bank stated that 38% of euro area firms were already at an advanced stage of AI adoption in Q4 2025. The same ECB study found that firms reporting significant AI use expected 21% higher turnover over the following 3 months than non-users, which helps explain why copilots are being discussed at the management level as a near-term business tool rather than solely as a technical upgrade. This wider base of enterprise AI familiarity is giving the Europe AI copilot market a larger pool of buyers that are already comfortable with AI-enabled workflows and are now moving toward more structured deployment.

Enterprise Concerns Over Data Leakage and Prompt Exposure

The Europe AI copilot market still faces hesitation, where users and compliance teams are unsure how prompts, outputs, and enterprise content are handled. Eurostat reported that 48.83% of EU enterprises that considered adopting AI but did not do so cited data protection and privacy concerns as a main barrier in 2025. This is especially important in public services, healthcare, and other settings where internal content often includes personal or regulated information. NHS England's staged rollout also shows that large public organizations are moving carefully, beginning with pilots before scaling access to hundreds of thousands of users. Microsoft's move toward in-country processing further indicates that data handling concerns are important enough to influence product architecture in the region. Until buyers are fully confident that data exposure risks are under control, the Europe AI copilot market will continue to see longer review cycles and narrower early-deployment scopes in sensitive environments.

Other drivers and restraints analyzed in the detailed report include:

1. Expansion of Microsoft, Google, and Salesforce Ecosystems in Europe
2. Regulatory Pressure on Data Governance and Traceability Driving Trusted Copilot Deployments
3. Integration Complexity with Legacy Enterprise Applications

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Horizontal Productivity Copilots held 40.12% of the Europe AI copilot market in 2025, which reflects the early advantage of broad enterprise suites already used across daily office work. The Europe AI copilot market initially expanded through these tools because bundled access reduced deployment friction for companies already using Microsoft 365 or Google Workspace. General drafting, summarization, search, and task support were easier to launch than highly specialized use cases that needed workflow redesign. This made horizontal products the most practical entry point for enterprises that wanted visible gains without deep technical integration. It also gave platform vendors a head start in distribution because procurement teams could expand existing software relationships rather than open entirely new vendor tracks.

The growth pattern is now shifting, as Industry-Specific Copilots are projected to advance at a 28.84% CAGR through 2031. Airbus stated in May 2026 that it partnered with Mistral AI to use the company's product suite for aerospace engineering tasks such as flight safety support, technical documentation automation, and design acceleration. That example shows why specialized copilots are gaining attention in the Europe AI copilot industry, especially where accuracy, domain language, and controlled deployment matter more than broad generic assistance. Functional Workflow Copilots remain important in HR, finance, and supply chain processes because they sit closer to repeatable business work than pure productivity tools do. Technical and Engineering Copilots are also gaining depth, and Siemens showed this in November 2025 when it launched Engineering Copilot TIA as a managed service inside TIA Portal versions 19 and 20.

Cloud-based deployment accounted for 71.24% of the market in 2026, showing that most buyers still prefer faster setup, easier updates, and simpler operating models. This large share also reflects the influence of major software ecosystems that deliver copilots through cloud-first environments already familiar to enterprise users. The Europe AI copilot market has therefore grown fastest in organizations that can adopt standard commercial offerings without major hosting restrictions. Cloud remains attractive where companies want predictable subscription structures and do not want to build separate internal infrastructure for AI services. It also fits well with broad office productivity use cases where data sensitivity is lower than in tightly regulated operating functions.

At the same time, hybrid deployment is projected to grow at a 29.16% CAGR through 2031, which shows where demand is heading as use cases become more sensitive. Microsoft's in-country processing expansion across Europe indicates that even large cloud vendors are adapting to stronger expectations around local control. Aleph Alpha and STACKIT also positioned PhariaAI as a sovereign AI-as-a-service offering, delivered via fully EU-hosted infrastructure for regulated enterprises and public-sector bodies. On-premises deployment remains a narrower path within the Europe AI copilot market, but it matters in defense, critical infrastructure, and central administration where external processing can be hard to approve. This is why the Europe AI copilot market is likely to maintain its cloud leadership, while hybrid becomes the preferred design for workloads that balance convenience with strict data-handling rules.

Complete Report Scope:

• By Copilot Type
  • Horizontal Productivity Copilots
  • Functional Workflow Copilots
  • Technical and Engineering Copilots
  • Industry-Specific Copilots
• By Deployment
  • Cloud-Based
  • Hybrid
  • On-Premises
• By Organization Size
  • Large Enterprises
  • Small and Medium Enterprises
• By Application
  • Knowledge Work and Productivity Assistance
  • Software Engineering and Technical Operations
  • Customer and Employee Service Operations
  • Sales, Marketing and Revenue Enablement
  • Business Process and Enterprise Operations
  • Regulated Industry Workflows
• By End-User Industry
  • IT and Telecommunication
  • BFSI
  • Healthcare and Life Sciences
  • Retail and E-Commerce
  • Industrial Manufacturing
  • Education and Research Institutions
  • Media and Entertainment
  • Government and administration
  • Energy and Utilities
  • Other end-user industries
• By Geography
  • Germany
  • United Kingdom
  • France
  • Russia
  • Spain
  • Rest of Europe

List of Companies Covered in this Report:

1. Microsoft Corporation
2. Alphabet Inc.
3. Salesforce, Inc.
4. SAP SE
5. ServiceNow, Inc.
6. Oracle Corporation
7. Adobe Inc.
8. Atlassian Corporation Plc
9. Zoom Communications, Inc.
10. Zendesk, Inc.
11. HubSpot, Inc.
12. UiPath, Inc.
13. Writer, Inc.
14. Glean Technologies, Inc.
15. Cognigy GmbH
16. Cohere
17. Mistral AI SAS
18. Aleph Alpha GmbH
19. Intercom
20. Aisera, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Growing Enterprise Demand for Role-Specific Productivity Automation
  • 4.2.2 Rising Adoption of Generative AI Across Knowledge Workflows
  • 4.2.3 Expansion of Microsoft, Google, and Salesforce Ecosystems in Europe
  • 4.2.4 Regulatory Pressure on Data Governance and Traceability, Driving Trusted Copilot Deployments
  • 4.2.5 Shift Toward Multilingual Copilot Interfaces for European Workforces
  • 4.2.6 Use of Domain-Tuned Copilots in High-Value Regulated Functions
• 4.3 Market Restraints
  • 4.3.1 Enterprise Concerns Over Data Leakage and Prompt Exposure
  • 4.3.2 Integration Complexity With Legacy Enterprise Applications
  • 4.3.3 AI Governance Gaps Across Mid-Market Buyers
  • 4.3.4 Budget Scrutiny on Recurring AI Software Subscriptions
• 4.4 Industry Value Chain Analysis
• 4.5 Technology Outlook
• 4.6 Regulatory Landscape
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Copilot Type
  • 5.1.1 Horizontal Productivity Copilots
  • 5.1.2 Functional Workflow Copilots
  • 5.1.3 Technical and Engineering Copilots
  • 5.1.4 Industry-Specific Copilots
• 5.2 By Deployment
  • 5.2.1 Cloud-Based
  • 5.2.2 Hybrid
  • 5.2.3 On-Premises
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By Application
  • 5.4.1 Knowledge Work and Productivity Assistance
  • 5.4.2 Software Engineering and Technical Operations
  • 5.4.3 Customer and Employee Service Operations
  • 5.4.4 Sales, Marketing and Revenue Enablement
  • 5.4.5 Business Process and Enterprise Operations
  • 5.4.6 Regulated Industry Workflows
• 5.5 By End-User Industry
  • 5.5.1 IT and Telecommunication
  • 5.5.2 BFSI
  • 5.5.3 Healthcare and Life Sciences
  • 5.5.4 Retail and E-Commerce
  • 5.5.5 Industrial Manufacturing
  • 5.5.6 Education and Research Institutions
  • 5.5.7 Media and Entertainment
  • 5.5.8 Government and administration
  • 5.5.9 Energy and Utilities
  • 5.5.10 Other end-user industries
• 5.6 By Geography
  • 5.6.1 Germany
  • 5.6.2 United Kingdom
  • 5.6.3 France
  • 5.6.4 Russia
  • 5.6.5 Spain
  • 5.6.6 Rest of Europe

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Microsoft Corporation
  • 6.4.2 Alphabet Inc.
  • 6.4.3 Salesforce, Inc.
  • 6.4.4 SAP SE
  • 6.4.5 ServiceNow, Inc.
  • 6.4.6 Oracle Corporation
  • 6.4.7 Adobe Inc.
  • 6.4.8 Atlassian Corporation Plc
  • 6.4.9 Zoom Communications, Inc.
  • 6.4.10 Zendesk, Inc.
  • 6.4.11 HubSpot, Inc.
  • 6.4.12 UiPath, Inc.
  • 6.4.13 Writer, Inc.
  • 6.4.14 Glean Technologies, Inc.
  • 6.4.15 Cognigy GmbH
  • 6.4.16 Cohere
  • 6.4.17 Mistral AI SAS
  • 6.4.18 Aleph Alpha GmbH
  • 6.4.19 Intercom
  • 6.4.20 Aisera, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment