欧洲生成人工智慧市场：按业务流程、按类型、按技术、按产品、按国家 - 分析和预测（2023-2033）

欧洲生成式人工智慧市场规模预计将从 2023 年的 39.9 亿美元增至 2033 年的 687.9 亿美元，2023-2033 年预测期间复合年增长率为 32.92%。

人工智慧（AI）具有生成性，是最尖端科技，正在推动整个欧洲的创新，并大幅改变人工智慧应用领域。与仅限于特定的、预先设定的任务的传统人工智慧系统相比，生成式人工智慧具有独立生成文字、图像、音乐甚至电影等新内容的非凡能力。

先进的演算法和神经网路使机器能够理解、分析和合成复杂的资料模式，从而实现了这种变革的潜力。透过利用机率建模和深度学习，生成式人工智慧可以模拟人类创造力并产生与人类生成的内容非常相似的内容。迭代学习方法可以提高对这些人工智慧模型的理解以及现实、有凝聚力的内容生成。

这些模型可以根据特定的输入标准（例如文字提示、视觉描述和音讯样本）产生内容，从而产生可自订和适应性强的输出。此外，生成式人工智慧可以结合回馈机制，随着时间的推移不断提高生成​​内容的品质和相关性。生成式人工智慧具有广泛的应用范围，为欧洲各行业的创新和成长提供了独特的机会。

跨行业对创造性内容製作的需求以及人工智慧技术的发展正在推动欧洲生成人工智慧市场的快速扩张。由于生成人工智慧（包括可以产生文字、图像、音乐和影片的演算法），行销、娱乐、设计和医疗保健等行业正在经历变革。

欧洲公司正在利用生成式人工智慧来改善工作流程、个人化体验并推动创新流程。该地区在人工智慧技术方面投入大量资金并专注于研发，使其成为这一革命性领域的领导者。

此外，欧洲法规结构强调人工智慧的道德使用，确保该技术符合安全法规和社会规范。随着公司不断了解生成式人工智慧如何提高生产力和创新，市场已经做好准备。

该报告研究了欧洲生成人工智慧市场，并提供了市场概况，包括按业务流程、类型、技术、产品和国家分類的趋势，以及参与市场的公司概况。

目录

执行摘要

第一章 市场

• 市场趋势：现况与未来
• 市场动态概览

第二章 区域

• 区域概况
• 促进因素和抑制因素
• 欧洲

第三章市场－竞争基准化分析与公司概况

• 未来展望
• 地理评估
  • Google DeepMind
  • Synthesia Limited.

第四章调查方法

Introduction to Europe Generative AI Market

The Europe generative AI market is projected to reach $68.79 billion by 2033 from $3.99 billion in 2023, growing at a CAGR of 32.92% during the forecast period 2023-2033. Artificial intelligence (AI) that is generative in nature is a state-of-the-art technology that is driving innovation throughout Europe and drastically changing the field of AI applications. In contrast to conventional artificial intelligence systems that are restricted to particular, pre-established tasks, generative AI has the exceptional capacity to independently produce new content, such as text, images, music, and even movies.

Advanced algorithms and neural networks that enable machines to comprehend, analyze, and synthesize complex data patterns are what enable this transformational potential. Generative AI is able to simulate human creativity by utilizing probabilistic modeling and deep learning to produce content that closely resembles human-generated content. Iterative training methods improve the comprehension and realistic and cohesive content generation of these AI models.

These models can produce content based on specific input criteria, such as text prompts, visual descriptions, or audio samples, resulting in customizable and adaptive outputs. Moreover, generative AI can incorporate feedback mechanisms to continuously enhance the quality and relevance of its generated content over time. With a wide range of applications, generative AI offers unparalleled opportunities for innovation and growth in various sectors across Europe.

Market Introduction

The demand for creative content production across several industries and the development of artificial intelligence technologies are propelling the rapid expansion of the European generative AI market. Marketing, entertainment, design, and healthcare are just a few of the industries that are undergoing a change thanks to generative AI, which includes algorithms that can produce text, images, music, and videos.

Businesses in Europe are using generative AI to improve workflows, personalize experiences, and boost creative processes. The region is positioned as a leader in this revolutionary field because of its considerable investment in AI technologies and emphasis on research and development.

Furthermore, ethical AI use is emphasized by European regulatory frameworks, which guarantees that technologies comply with safety regulations and societal norms. The market is ready as businesses continue to see how generative AI can boost productivity and innovation.

Market Segmentation

Segmentation 1: by Business Process

• Content Creation and Marketing
• Human Resource Management
• Research and Development
• Finance

Segmentation 2: by Type

• Visual
• Audio
• Text-Based
• Others

Segmentation 3: by Technology

• Generative Adversarial Network (GAN)
• Variational Autoencoder (VAE)
• Transformer
• Diffusion Network

Segmentation 4: by Offering

• Natural Language Processing (NLP)
• Machine Learning-Based Predictive Modeling
• Computer Vision
• Robotics and Automation
• Augmented Reality (AR) and Virtual Reality (VR)

Segmentation 5: by Country

• U.K.
• Germany
• France
• Rest-of-Europe

How can this report add value to an organization?

Product/Innovation Strategy: The product segment helps the reader understand the different types of products available for deployment and their potential in Europe region. Moreover, the study provides the reader with a detailed understanding of the generative AI market by application on the basis of business process (content creation and marketing, human resource management, research and development, finance, and others) and product on the basis of type (visual, audio, text-based, and others), technology(generative adversarial network (GAN), variational autoencoder (VAE), transformer, and diffusion network), offering (natural language processing (NLP), machine learning-based predictive modeling, computer vision, robotics and automation, augmented reality (AR) and virtual reality (VR), and others).

Growth/Marketing Strategy: The Europe generative AI market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnerships and contracts to strengthen their position in the generative AI market.

Competitive Strategy: Key players in the Europe generative AI market analyzed and profiled in the study involve major companies offering generative AI solutions designed for various applications. Moreover, a detailed competitive benchmarking of the players operating in the Europe generative AI market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

Some of the prominent companies in this market are:

• Google DeepMind
• Synthesia Limited.

Table of Contents

Executive Summary

Scope and Definition

1 Markets

• 1.1 Market Trends: Current and Future
  • 1.1.1 Market Definition
  • 1.1.2 Ongoing Generative AI Trends
    • 1.1.2.1 Shadow AI
    • 1.1.2.2 Edge Computing for Generative AI
    • 1.1.2.3 Multimodal AI
  • 1.1.3 Ecosystem/Ongoing Programs
    • 1.1.3.1 Regulatory Implications
    • 1.1.3.2 Generative AI Market: Stakeholders
      • 1.1.3.2.1 Cloud Platform Providers
      • 1.1.3.2.2 Hardware Providers
      • 1.1.3.2.3 API/API-as-a-Service Providers
      • 1.1.3.2.4 End Users
  • 1.1.4 Artificial Intelligence Industry: Current and Future Outlook
  • 1.1.5 Generative AI Innovation Timeline: By Type
  • 1.1.6 Start-Up and Investment Landscape
• 1.2 Market Dynamics Overview
  • 1.2.1 Business Drivers
    • 1.2.1.1 Advancements in Machine Learning and AI Technologies
    • 1.2.1.2 Availability of Big Data
    • 1.2.1.3 Public and Media Interest
  • 1.2.2 Business Challenges
    • 1.2.2.1 Ethical and Regulatory Challenges
    • 1.2.2.2 Public Perception and Trust
    • 1.2.2.3 Data Inaccuracy
  • 1.2.3 Business Opportunities
    • 1.2.3.1 Ethical AI Development and Bias Mitigation Services
    • 1.2.3.2 Platform-as-a-Service (PaaS) Offerings

2 Regions

• 2.1 Regional Summary
• 2.2 Drivers and Restraints
• 2.3 Europe
  • 2.3.1 Regional Overview
  • 2.3.2 Driving Factors for Market Growth
  • 2.3.3 Factors Challenging the Market
  • 2.3.4 Application
  • 2.3.5 Product
  • 2.3.6 U.K.
  • 2.3.7 Application
  • 2.3.8 Product
  • 2.3.9 Germany
  • 2.3.10 Application
  • 2.3.11 Product
  • 2.3.12 France
  • 2.3.13 Application
  • 2.3.14 Product
  • 2.3.15 Rest-of-Europe
  • 2.3.16 Application
  • 2.3.17 Product

3 Markets - Competitive Benchmarking & Company Profiles

• 3.1 Next Frontiers
• 3.2 Geographic Assessment
  • 3.2.1 Google DeepMind
    • 3.2.1.1 Overview
    • 3.2.1.2 Top Products/Product Portfolio
    • 3.2.1.3 Top Competitors
    • 3.2.1.4 Target Customers
    • 3.2.1.5 Key Personnel
    • 3.2.1.6 Analyst View
    • 3.2.1.7 Market Share, 2022
  • 3.2.2 Synthesia Limited.
    • 3.2.2.1 Overview
    • 3.2.2.2 Top Products/Product Portfolio
    • 3.2.2.3 Top Competitors
    • 3.2.2.4 Target Customers
    • 3.2.2.5 Key Personnel
    • 3.2.2.6 Analyst View
    • 3.2.2.7 Market Share, 2022

4 Research Methodology

• 4.1 Data Sources
  • 4.1.1 Primary Data Sources
  • 4.1.2 Secondary Data Sources
  • 4.1.3 Data Triangulation
• 4.2 Market Estimation and Forecast

List of Figures

• Figure 1: Europe Generative AI Market (by Business Process), 2022, 2026, and 2033
• Figure 2: Europe Generative AI Market (by Type), 2022, 2026, and 2033
• Figure 3: Europe Generative AI Market (by Technology), 2022, 2026, and 2033
• Figure 4: Europe Generative AI Market (by Offering), 2022, 2026, and 2033
• Figure 5: Generative AI, Recent Developments
• Figure 6: Strategic Initiatives, 2020-2024
• Figure 7: Share of Strategic Initiatives, 2020-2024
• Figure 8: Data Triangulation
• Figure 9: Top-Down and Bottom-Up Approach
• Figure 10: Assumptions and Limitations

List of Tables

• Table 1: Market Snapshot
• Table 2: Generative AI, Opportunities across Regions
• Table 3: From a policy perspective, the U.K. and the U.S. are leading geographies with a seemingly favorable environment.
• Table 4: Text-Based Generative AI
• Table 5: Audio Generative AI
• Table 6: Visual Generative AI
• Table 7: Others
• Table 8: Impact Analysis of Market Navigating Factors, 2023-2033
• Table 9: Generative AI Market (by Region), $Million, 2022-2033
• Table 10: Europe Generative AI Market (by Business Process), $Million, 2022-2033
• Table 11: Europe Generative AI Market (by Type), $Million, 2022-2033
• Table 12: Europe Generative AI Market (by Technology), $Million, 2022-2033
• Table 13: Europe Generative AI Market (by Offering), $Million, 2022-2033
• Table 14: U.K. Generative AI Market (by Business Process), $Million, 2022-2033
• Table 15: U.K. Generative AI Market (by Type), $Million, 2022-2033
• Table 16: U.K. Generative AI Market (by Technology), $Million, 2022-2033
• Table 17: U.K. Generative AI Market (by Offering), $Million, 2022-2033
• Table 18: Germany Generative AI Market (by Business Process), $Million, 2022-2033
• Table 19: Germany Generative AI Market (by Type), $Million, 2022-2033
• Table 20: Germany Generative AI Market (by Technology), $Million, 2022-2033
• Table 21: Germany Generative AI Market (by Offering), $Million, 2022-2033
• Table 22: France Generative AI Market (by Business Process), $Million, 2022-2033
• Table 23: France Generative AI Market (by Type), $Million, 2022-2033
• Table 24: France Generative AI Market (by Technology), $Million, 2022-2033
• Table 25: France Generative AI Market (by Offering), $Million, 2022-2033
• Table 26: Rest-of-Europe Generative AI Market (by Business Process), $Million, 2022-2033
• Table 27: Rest-of-Europe Generative AI Market (by Type), $Million, 2022-2033
• Table 28: Rest-of-Europe Generative AI Market (by Technology), $Million, 2022-2033
• Table 29: Rest-of-Europe Generative AI Market (by Offering), $Million, 2022-2033