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市場調查報告書
商品編碼
1949342

全球生成式人工智慧市場規模、佔有率、趨勢和成長分析報告（2026-2034）

Global Generative AI Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 141 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計生成式人工智慧市場將從 2025 年的 346.4 億美元成長到 2034 年的 4,926.7 億美元，2026 年至 2034 年的複合年成長率為 34.31%。

在機器學習和自然語言處理技術進步的推動下，生成式人工智慧市場正處於變革時代的邊緣。隨著各組織機構日益意識到生成模型在提升內容創作、產品設計和決策流程的巨大潛力，預計對這些技術的需求將呈現爆炸性成長。從自動化內容生成到製定個人化行銷策略，生成式人工智慧正在徹底改變企業的運作方式，使其能夠達到前所未有的效率和創造力水平。

在醫療保健、金融和娛樂等眾多領域，生成式人工智慧正被用於解決複雜問題並開發創新解決方案。例如，在藥物研發領域，人工智慧演算法可以模擬分子交互作用，從而顯著加快研究進程。同樣，在創新產業中，生成式人工智慧工具正幫助藝術家和設計師探索新的創造性方法，突破傳統藝術形式的界限。這種多功能性正在吸引投資，並促進科技公司與產業領導者之間的合作，進一步加速市場成長。

隨著科技的成熟，圍繞生成式人工智慧的倫理考量將變得日益重要。資料隱私、智慧財產權以及潛在的濫用等問題，都需要建立健全的管治結構。優先考慮人工智慧倫理實踐的公司不僅能夠降低風險，還能提升品牌聲譽和消費者信任度。生成式人工智慧市場前景光明，可望重塑產業格局，創造新的創新模式，最終協助建構一個更智慧互聯的世界。

目錄

第1章 引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 繪製滲透率和成長前景圖
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制
    • 市場機遇
    • 市場問題
  • 波特五力分析
  • PESTLE分析

4. 全球生成式人工智慧市場（按組件分類）

  • 市場分析、洞察與預測
  • 軟體
  • 服務

5. 全球生成式人工智慧市場（按技術分類）

  • 市場分析、洞察與預測
  • 生成對抗網路（GAN）
  • 變壓器
  • 變分自編碼器（VAE）
  • 擴散網路
  • 搜尋擴展生成

6. 全球生成式人工智慧市場（按最終用戶分類）

  • 市場分析、洞察與預測
  • 媒體與娛樂
  • BFSI
  • 資訊科技/通訊
  • 衛生保健
  • 汽車和運輸業
  • 其他

7. 全球生成式人工智慧市場（按地區分類）

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第8章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商格局（基於現有資訊）
  • 策略規劃

第9章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Google LLC
    • D-ID
    • Rephrase.Ai
    • Genie AI Ltd
    • Synthesia
    • IBM Corporation
    • Amazon Web Services Inc
    • Mostly AI Inc
    • Adobe
    • Microsoft Corporation
簡介目錄
Product Code: VMR112110294

The Generative AI Market size is expected to reach USD 492.67 Billion in 2034 from USD 34.64 Billion (2025) growing at a CAGR of 34.31% during 2026-2034.

The Generative AI market is on the cusp of a transformative era, driven by advancements in machine learning and natural language processing. As organizations increasingly recognize the potential of generative models to create content, design products, and enhance decision-making processes, the demand for these technologies is set to surge. From automating content generation to developing personalized marketing strategies, generative AI is revolutionizing how businesses operate, enabling them to achieve unprecedented levels of efficiency and creativity.

In various sectors, including healthcare, finance, and entertainment, generative AI is being harnessed to solve complex problems and generate innovative solutions. For instance, in drug discovery, AI algorithms can simulate molecular interactions, significantly accelerating the research process. Similarly, in the creative industries, generative AI tools are empowering artists and designers to explore new creative avenues, pushing the boundaries of traditional art forms. This versatility is attracting investments and fostering collaborations between tech companies and industry leaders, further propelling market growth.

As the technology matures, ethical considerations surrounding generative AI will become increasingly important. Issues such as data privacy, intellectual property rights, and the potential for misuse will necessitate the establishment of robust governance frameworks. Companies that prioritize ethical AI practices will not only mitigate risks but also enhance their brand reputation and consumer trust. The future of the generative AI market is bright, with the potential to redefine industries and create new paradigms of innovation, ultimately shaping a more intelligent and interconnected world.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Software
  • Service

By Technology

  • Generative Adversarial Networks (GANs)
  • Transformer
  • Variational Autoencoder (VAE)
  • Diffusion Networks
  • Retrieval Augmented Generation

By End User

  • Media and Entertainment
  • BFSI
  • IT and Telecom
  • Healthcare
  • Automotive and Transportation
  • Others

COMPANIES PROFILED

  • Google LLC, DID, Rephraseai, Genie AI Ltd, Synthesia, IBM Corporation, Amazon Web Services Inc, Mostly AI Inc, Adobe, Microsoft Corporation

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL GENERATIVE AI MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Service Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL GENERATIVE AI MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Technology
  • 5.2. Generative Adversarial Networks (GANs) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Transformer Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Variational Autoencoder (VAE) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Diffusion Networks Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Retrieval Augmented Generation Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL GENERATIVE AI MARKET: BY END USER 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast End User
  • 6.2. Media and Entertainment Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. IT and Telecom Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. Automotive and Transportation Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL GENERATIVE AI MARKET: BY REGION 2022-2034(USD MN)

  • 7.1. Regional Outlook
  • 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.2.1 By Component
    • 7.2.2 By Technology
    • 7.2.3 By End User
    • 7.2.4 United States
    • 7.2.5 Canada
    • 7.2.6 Mexico
  • 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.3.1 By Component
    • 7.3.2 By Technology
    • 7.3.3 By End User
    • 7.3.4 United Kingdom
    • 7.3.5 France
    • 7.3.6 Germany
    • 7.3.7 Italy
    • 7.3.8 Russia
    • 7.3.9 Rest Of Europe
  • 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.4.1 By Component
    • 7.4.2 By Technology
    • 7.4.3 By End User
    • 7.4.4 India
    • 7.4.5 Japan
    • 7.4.6 South Korea
    • 7.4.7 Australia
    • 7.4.8 South East Asia
    • 7.4.9 Rest Of Asia Pacific
  • 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.5.1 By Component
    • 7.5.2 By Technology
    • 7.5.3 By End User
    • 7.5.4 Brazil
    • 7.5.5 Argentina
    • 7.5.6 Peru
    • 7.5.7 Chile
    • 7.5.8 South East Asia
    • 7.5.9 Rest of Latin America
  • 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.6.1 By Component
    • 7.6.2 By Technology
    • 7.6.3 By End User
    • 7.6.4 Saudi Arabia
    • 7.6.5 UAE
    • 7.6.6 Israel
    • 7.6.7 South Africa
    • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

  • 8.1. Recent Developments
  • 8.2. Company Categorization
  • 8.3. Supply Chain & Channel Partners (based on availability)
  • 8.4. Market Share & Positioning Analysis (based on availability)
  • 8.5. Vendor Landscape (based on availability)
  • 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL GENERATIVE AI INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Company Profiles
    • 9.2.1 Google LLC
    • 9.2.2 D-ID
    • 9.2.3 Rephrase.Ai
    • 9.2.4 Genie AI Ltd
    • 9.2.5 Synthesia
    • 9.2.6 IBM Corporation
    • 9.2.7 Amazon Web Services Inc
    • 9.2.8 Mostly AI Inc
    • 9.2.9 Adobe
    • 9.2.10 Microsoft Corporation