欧洲人工智能市场概况、增长、趋势、分析、研究报告(2023-2031)

  • Report Code : TIPRE00039408
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 119
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2023 年欧洲人工智能市场规模价值 426.4 亿美元,预计到 2031 年将达到 5454.8 亿美元;预计 2023 年至 2031 年的复合年增长率为 37.5%。离岸和近岸客户服务 BPO 外包的采用率上升可能仍是未来几年的主要市场趋势。

欧洲人工智能市场分析

各行各业采用人工智能的增加、政府举措和投资支持采用人工智能技术以及对多模态人工智能的蓬勃发展的需求是推动欧洲人工智能市场发展的几个重要因素。此外,对工业自动化解决方案的投资增加和代理人工智能的日益普及可能会在未来推动欧洲对人工智能的需求。技术进步和机器学习、自然语言处理 (NLP) 和机器人过程自动化 (RPA) 等先进技术的集成;对生成人工智能的需求;以及可解释人工智能 (XAI) 和降低运营成本的人工智能驱动的网络安全解决方案的开发,预计将在预测期内为市场增长创造机会。对定制人工智能解决方案的需求激增、制造商专注于开发小型语言模型和开源进步以及研发活动的增加也使欧洲人工智能市场受益。

欧洲人工智能市场概览

人工智能 (AI) 是多种技术的组合,使计算机能够执行各种高级操作,例如阅读、理解和翻译口头和书面语言;分析数据;提出建议等等。人工智能是当前计算创新的基础,为个人和企业创造价值。例如,光学字符识别 (OCR) 使用人工智能从照片和文档中提取文本和数据,将非结构化内容转换为可用于业务的结构化数据并提供关键见解。各行各业在各种应用中高度使用基于人工智能的系统和软件,包括语音识别、图像识别、翻译、预测模型、数据分析和网络安全。此外,人工智能提供的重要好处包括 24 × 7 可用性、重复任务自动化、更少的人为错误、更多更快的数据洞察、降低物理风险和增强决策能力。

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欧洲人工智能市场:

Europe Artificial Intelligence Market
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欧洲人工智能市场驱动因素和机遇

各行业采用率不断提高推动市场增长

人工智能在医疗保健、零售和电子商务以及制造业等行业中用于各种目的。这些行业使用人工智能技术来自动化重复性任务,提高准确性并加速工作完成。因此,它使工作人员能够专注于更复杂的活动,同时提高他们的效率和生产产出。人工智能正在通过改进诊断、个性化治疗方案、简化流程和降低成本来改变医疗保健行业。医疗保健组织正在使用基于图像的人工智能模型作为诊断工具,这可以加快解释速度并导致早期疾病识别。例如,2023 年 9 月,Paige AI, Inc. 与微软合作开发了世界上最大的基于图像的人工智能模型,用于数字病理学和肿瘤学以对抗癌症。这些公司正在开发一种新的人工智能模型,该模型比当今现有的任何其他基于图像的人工智能模型都要大。该模型配置了数十亿个参数,将有助于捕捉癌症的微妙复杂性,并作为下一代临床应用和计算生物标志物的基础,突破肿瘤学和病理学的界限。此外,根据 2024 年 7 月的报道,欧洲科学院科学咨询委员会 (EASAC) 和欧洲医学院联合会 (FEAM) 正在联合开展项目和案例研究,以评估融入人工智能的医疗保健产品和服务。因此,越来越多与医疗保健行业使用人工智能相关的研发活动正在推动市场的发展。

生成人工智能的需求创造增长机会

生成式人工智能在推动欧洲商业发展方面发挥着重要作用。凭借生成文本、图像、音乐和代码的能力,从医疗保健和金融到娱乐和制造业等行业有望为该地区的人工智能市场创造巨大的增长机会。它使企业能够更高效地运作并保持领先于竞争对手。欧洲各国政府正在组织各种活动,以提高人们对生成式人工智能带来的好处的认识。IQPC 组织了第二届欧洲 2024 年度生成式人工智能研讨会,旨在让欧洲社区聚集在一起,交流在企业中实施生成式人工智能的知识和专业知识。本次研讨会旨在帮助参与者理解和克服当前的技术限制、数据模型以及小型和大型语言模型。研讨会还展示了在组织中民主化生成式人工智能、管理运营变化、维护内容安全和合规性、支持企业降低生产成本以及使该技术适用于实际应用的方法。

根据 Infosys Limited 于 2023 年 12 月发布的数据,欧洲许多国家正在对生成式 AI 技术进行大量投资,以简化和自动化运营、增强产品开发并优化客户体验。2022 年至 2023 年间,法国和德国在 GenAI 上的支出分别翻了一番,达到约 7.3 亿美元和 6.1 亿美元。在这两个国家,约有 50% 的企业已经部署了生成式 AI,或者已经实施并从中实现了商业价值。同样,英国、比荷卢三国和北欧约有 40% 的公司投资 AI 技术来改善其业务运营。预计到 2023 年 12 月,英国将超过比荷卢三国,位居第三,因为其支出可能会增加两倍或更多,达到约 5.1 亿美元。2023 年,北欧国家的公司在 GenAI 上的投资是其目前支出的 2.5 倍以上,总额超过 4.7 亿美元。因此,用于有效管理业务流程的生成式人工智能工具和模型的开发正在为欧洲人工智能市场创造机遇。

欧洲人工智能市场报告细分分析

有助于得出欧洲人工智能市场分析的关键部分是组成部分、组织规模和行业垂直度。

  • 根据组件,市场分为硬件、软件和服务。软件部分在 2023 年占据了市场主导地位。
  • 软件领域的市场细分为基于云和本地。基于云的细分市场在 2023 年占据了市场主导地位。
  • 就组织规模而言,欧洲人工智能市场分为大型企业和中小型企业。大型企业在 2023 年占据了市场主导地位。
  • 根据行业垂直划分,市场分为汽车、医疗保健、制造业、零售和电子商务、IT 和电信、BFSI 等。IT 和电信行业在 2023 年占据了市场主导地位。

欧洲人工智能市场份额按地区分析

  • 欧洲人工智能市场分为德国、法国、英国、意大利、俄罗斯和欧洲其他地区。欧洲国家对人工智能和机器学习软件开发服务的需求很高;这可以归因于人们对人工智能和机器学习潜力的认识不断提高、熟练劳动力严重短缺以及许多企业和政府希望利用人工智能技术。根据荷兰企业局下属的进口促进中心 (CBI) 于 2023 年 6 月发布的数据,2021 年只有 8% 的欧洲公司使用了人工智能技术,而这一比例在 2023 年 1 月翻了一番。同样,2022 年 ChatGPT 的推出增加了欧洲对人工智能技术的使用;2023 年约有 75% 的欧洲企业正在使用人工智能技术。

 

欧洲人工智能市场区域洞察

Insight Partners 的分析师详细解释了预测期内影响欧洲人工智能市场的区域趋势和因素。本节还讨论了欧洲人工智能市场的各个部分和地理位置,包括北美、欧洲、亚太地区、中东和非洲以及南美洲和中美洲。

Europe Artificial Intelligence Market
  • 获取欧洲人工智能市场的区域特定数据

欧洲人工智能市场报告范围

报告属性细节
2023 年的市场规模426.4 亿美元
2031 年市场规模5454.8亿美元
全球复合年增长率(2023 - 2031)37.5%
史料2021-2022
预测期2024-2031
涵盖的领域按组件
  • 软件
  • 硬件
  • 服务
按组织规模
  • 大型企业
  • 中小企业
按垂直行业
  • 信息技术和电信
  • 金融保险业协会
  • 卫生保健
  • 制造业
  • 零售和电子商务
  • 汽车
覆盖地区和国家欧洲
  • 德国
  • 法国
  • 英国
  • 意大利
  • 西班牙和欧洲其他地区
市场领导者和主要公司简介
  • 埃森哲公司
  • 美国超微半导体公司
  • 谷歌有限责任公司
  • 国际商业机器公司
  • 英特尔公司
  • 微软公司
  • NVIDIA 公司
  • 亚马逊网络服务公司
  • 思爱普
  • 和 SAS 研究所

 

欧洲人工智能市场参与者密度:了解其对商业动态的影响

欧洲人工智能市场正在快速增长,这得益于终端用户需求的不断增长,而这些需求又源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者的需求,并利用新兴趋势,从而进一步推动市场增长。

市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明在给定市场空间中,相对于其规模或总市场价值,有多少竞争对手(市场参与者)存在。

在欧洲人工智能市场运营的主要公司有:

  1. 埃森哲公司
  2. 美国超微半导体公司
  3. 谷歌有限责任公司
  4. 国际商业机器公司
  5. 英特尔公司
  6. 微软公司

免责声明上面列出的公司没有按照任何特定顺序排列。


Europe Artificial Intelligence Market

 

  • 了解欧洲人工智能市场顶级关键参与者概况

欧洲人工智能市场新闻及最新发展

欧洲人工智能市场的评估是通过收集一手和二手研究后的定性和定量数据进行的,其中包括重要的公司出版物、协会数据和数据库。欧洲人工智能市场的一些发展情况如下:

  • IBM 与 Janes 达成合作,旨在将开源国防和安全情报数据集成到可信的 AI 和数据平台——IBM 的 watsonx。此次合作将奠定基础,使国防领导人能够访问注入了可信 AI 的高质量数据,从而通过利用 IBM Granite 模型和检索增强生成 (RAG) 模式与 Janes 数据集成 IBM watsonx AI 和数据平台来改善他们的决策。

(来源:IBM,新闻稿,2023 年 12 月)

  • 谷歌有限责任公司 (Google LLC) 推出了 Gemini Advanced,这是其 Gemini AI 助手的最新更新,包括其名为 Deep Research 的新代理功能,以及试用其最新实验模型 Gemini 2.0 Flash 的权限。

(来源:Google LLC,新闻稿,2024 年 12 月)

  • 埃森哲和 NVIDIA 宣布扩大合作伙伴关系,以帮助全球企业快速扩大 AI 应用。在刚刚结束的财年中,生成性 AI 需求推动埃森哲的订单量达到 30 亿美元,新团队将利用埃森哲的 AI Refinery 帮助客户为代理 AI 功能奠定基础,该平台使用完整的 NVIDIA AI 堆栈(包括 NVIDIA AI Foundry、NVIDIA AI Enterprise 和 NVIDIA Omniverse)来推进流程重塑、AI 驱动的模拟和自主 AI 等领域的发展。

(来源:埃森哲,新闻稿,2024 年 10 月)

欧洲人工智能市场报告覆盖范围和交付成果

“欧洲人工智能市场规模和预测(2021-2031)”对市场进行了详细的分析,涵盖了以下领域:

  • 欧洲人工智能市场规模以及区域和国家层面所有关键细分市场的预测
  • 欧洲人工智能市场趋势以及市场动态,如驱动因素、限制因素和关键机遇
  • 详细的 PEST 和 SWOT 分析
  • 欧洲人工智能市场分析涵盖主要市场趋势、区域框架、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者以及欧洲人工智能市场的最新发展
  • 详细的公司简介
  • 历史分析(2 年)、基准年、预测(7 年)及复合年增长率
  • PEST 和 SWOT 分析
  • 市场规模价值/数量 - 全球、区域、国家
  • 行业和竞争格局
  • Excel 数据集
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

常见问题


Which country dominated the Europe artificial intelligence market in 2023?

UK dominated the Europe artificial intelligence market in 2023.

What are the driving factors impacting the Europe artificial intelligence market?

Rising adoption in various industries, government initiatives and investments to support adoption of AI, and growing demand for multimodal Al are the major factors that propel the Europe artificial intelligence market.

What are the future trends of the Europe artificial intelligence market?

Burgeoning popularity of agentic Al to play a significant role in the Europe artificial intelligence market in the coming years.

Which are the leading players operating in the Europe artificial intelligence market?

The key players holding majority shares in the Europe artificial intelligence market are Accenture Plc, Advanced Micro Devices Inc, Google LLC, International Business Machines Corp, Intel Corp, Microsoft Corp, NVIDIA Corp, Amazon Web Services Inc, and SAS Institute Inc.

What would be the estimated value of the Europe artificial intelligence market by 2031?

The Europe artificial intelligence market is expected to reach US$ 545.48 billion by 2031.

What is the expected CAGR of the Europe artificial intelligence market?

The Europe artificial intelligence market is estimated to register a CAGR of 37.5% during the forecast period 2023–2031.

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The List of Companies - Europe Artificial Intelligence Market

  1. Accenture Plc
  2. Advanced Micro Devices Inc
  3. Google LLC
  4. International Business Machines Corp
  5. Intel Corp
  6. Microsoft Corp
  7. NVIDIA Corp
  8. Amazon Web Services Inc
  9. SAP SE
  10. SAS Institute Inc
europe-artificial-intelligence-market-cagr

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.