歐洲生成人工智慧市場：按業務流程、按類型、按技術、按產品、按國家 - 分析和預測（2023-2033）

歐洲生成式人工智慧市場規模預計將從 2023 年的 39.9 億美元增至 2033 年的 687.9 億美元，2023-2033 年預測期間複合年成長率為 32.92%。

人工智慧（AI）具有生成性，是最尖端科技，正在推動整個歐洲的創新，並大幅改變人工智慧應用領域。與僅限於特定的、預先設定的任務的傳統人工智慧系統相比，生成式人工智慧具有獨立生成文字、圖像、音樂甚至電影等新內容的非凡能力。

先進的演算法和神經網路使機器能夠理解、分析和合成複雜的資料模式，從而實現了這種變革的潛力。透過利用機率建模和深度學習，生成式人工智慧可以模擬人類創造力並產生與人類生成的內容非常相似的內容。迭代學習方法可以提高對這些人工智慧模型的理解以及現實、有凝聚力的內容生成。

這些模型可以根據特定的輸入標準（例如文字提示、視覺描述和音訊樣本）產生內容，從而產生可自訂和適應性強的輸出。此外，生成式人工智慧可以結合回饋機制，隨著時間的推移不斷提高生成​​內容的品質和相關性。生成式人工智慧具有廣泛的應用範圍，為歐洲各行業的創新和成長提供了獨特的機會。

跨行業對創造性內容製作的需求以及人工智慧技術的發展正在推動歐洲生成人工智慧市場的快速擴張。由於生成人工智慧（包括可以產生文字、圖像、音樂和影片的演算法），行銷、娛樂、設計和醫療保健等行業正在經歷變革。

歐洲公司正在利用生成式人工智慧來改善工作流程、個人化體驗並推動創新流程。該地區在人工智慧技術方面投入大量資金並專注於研發，使其成為這一革命性領域的領導者。

此外，歐洲法規結構強調人工智慧的道德使用，確保該技術符合安全法規和社會規範。隨著公司不斷了解生成式人工智慧如何提高生產力和創新，市場已經做好準備。

該報告研究了歐洲生成人工智慧市場，並提供了市場概況，包括按業務流程、類型、技術、產品和國家分類的趨勢，以及參與市場的公司概況。

目錄

執行摘要

第1章 市場

• 市場趨勢：現況與未來
• 市場動態概覽

第2章 區域

• 區域概況
• 促進因素和抑制因素
• 歐洲

第3章市場－競爭基準化分析與公司概況

• 未來展望
• 地理評估
  • Google DeepMind
  • Synthesia Limited.

第4章調查方法

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