欧州の生成AI市場：ビジネスプロセス別、タイプ別、技術別、オファリング別、国別 - 分析と予測（2023年～2033年）

欧州の生成AI（ジェネレーティブAI）の市場規模は、2023年の39億9,000万米ドルから2033年には687億9,000万米ドルに達し、予測期間の2023年～2033年のCAGRは32.92%になると予測されています。

生成的な性質を持つ人工知能（AI）は、欧州全体でイノベーションを推進し、AI応用分野を劇的に変化させている最先端技術です。特定のあらかじめ確立されたタスクに限定された従来の人工知能システムとは対照的に、生成AIは、テキスト、画像、音楽、さらには映画などの新しいコンテンツを独自に生成する卓越した能力を備えています。

機械が複雑なデータパターンを理解し、分析し、合成することを可能にする高度なアルゴリズムとニューラルネットワークが、この変革の可能性を可能にしています。生成AIは、確率的モデリングとディープラーニングを活用することで、人間の創造性をシミュレートし、人間が生成したコンテンツに酷似したコンテンツを生成することができます。反復学習法は、これらのAIモデルの理解力と現実的でまとまりのあるコンテンツ生成を向上させます。

これらのモデルは、テキストプロンプト、視覚的説明、音声サンプルなどの特定の入力基準に基づいてコンテンツを生成することができ、その結果、カスタマイズ可能で適応性のある出力が得られます。さらに、生成AIは、生成されたコンテンツの品質と関連性を時間経過とともに継続的に向上させるフィードバックメカニズムを組み込むことができます。幅広い用途を持つ生成AIは、欧州全域の様々な分野でイノベーションと成長の比類ない機会を提供しています。

複数の業界にわたる創造的なコンテンツ制作の需要と人工知能技術の開発が、欧州の生成AI市場の急速な拡大を後押ししています。マーケティング、エンターテインメント、デザイン、ヘルスケアは、テキスト、画像、音楽、動画を生成できるアルゴリズムを含む生成AIのおかげで変化を遂げつつある業界です。

欧州の企業は生成AIを活用してワークフローを改善し、体験をパーソナライズし、クリエイティブなプロセスを後押ししています。この地域は、AI技術に多額の投資を行い、研究開発に重点を置いているため、この革命的な分野のリーダーとして位置づけられています。

さらに、倫理的なAI利用は欧州の規制枠組みによって強調されており、技術が安全規制や社会規範に準拠していることが保証されています。生成AIがいかに生産性とイノベーションを高めることができるかを企業が理解し続けているため、市場は準備が整っています。

当レポートでは、欧州の生成AI市場について調査し、市場の概要とともに、ビジネスプロセス別、タイプ別、技術別、オファリング別、国別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

エグゼクティブサマリー

第1章 市場

• 市場動向：現状と将来
• 市場力学の概要

第2章 地域

• 地域別概要
• 促進要因と抑制要因
• 欧州

第3章 市場-競合ベンチマーキングと企業プロファイル

• 今後の見通し
• 地理的評価
  • Google DeepMind
  • Synthesia Limited.

第4章 調査手法

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

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