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市场调查报告书
商品编码
1797949

2032 年内容创作生成式人工智慧市场预测：按内容类型、组件、部署模式、应用、最终用户和地区进行的全球分析

Generative AI for Content Creation Market Forecasts to 2032 - Global Analysis By Content Type, Component, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球内容创作生成人工智慧市场规模预计在 2025 年将达到 193.4 亿美元，到 2032 年将达到 1,260.2 亿美元，预测期内的复合年增长率为 30.7%。

用于内容创作的生成式人工智慧是指先进的人工智慧系统，旨在自主生成多种格式的高品质原创数位内容，包括文字、图像、音讯、影片和程式码。透过利用深度学习、自然语言处理以及 GAN 和变压器等生成模型，这些系统可以复製类似人类的创造力，从而提高生产力并大规模创建个人化内容。这项技术正被越来越多地应用于行销、娱乐、设计和知识型工作等行业，以推动内容工作流程的效率和创新。

前所未有的效率和速度

先进的人工智慧演算法能够快速大规模产生高品质的文字、图像、影片和音讯内容，将生产时间从几天缩短至几分钟。这种前所未有的速度使企业能够满足日益增长的跨平台个人化、多语言内容需求，同时保持一致性和品质。这些功能使企业能够自动化重复性的创新任务，从而释放人力资源，使其专注于策略规划和复杂的创新工作。

版权模糊性和智慧财产权问题

使用受版权保护的材料训练的人工智慧模型可能会无意中产生侵犯现有商标、专利或其他受法律保护的智慧财产权的内容，从而使公司面临潜在的诉讼风险。围绕人工智慧生成内容的版权所有权问题仍未解决，导致作者权利和允许的商业用途方面存在模糊性。这些伦理和法律挑战引发了关于法律规范和合规要求的争论，这可能会减缓市场创新，并迫使企业对人工智慧生成的输出内容实施广泛的监督机制。

融入现有的创新工作流程

组织可以将AI工具无缝整合到现有的内容製作流程中，使作者、设计师和负责人能够在构思、起草和完善过程中与AI合作。这种协作方式使各行各业的非技术用户都能轻鬆使用先进的AI功能，从而实现内容创作的民主化。使用者友好、平台无关且可与热门创新软体套件整合的AI工具的开发，创造了一个新的细分市场，尤其是在小型企业和独立创作者群体中，他们无需具备丰富的技术专业知识即可获得专业级的内容功能。

深度造假和假讯息的传播

先进的人工智慧模型可以产生高度逼真但又虚假的内容，包括合成影片、录音和文本，这些内容可能会误导受众，并破坏人们对人工智慧生成媒体的信任。这种能力使不法分子得以煽动复杂的假讯息宣传活动，并製造出令人信服的虚假内容以达到欺骗目的。人工智慧产生的内容可能会削弱人类的创造力并加剧资讯污染，这引发了消费者和监管机构的道德担忧，并可能促使推出限制性法规，从而限制市场成长。

COVID-19的影响：

新冠疫情显着加速了生成式人工智慧在内容创作市场的应用，对可扩展数位内容解决方案的需求空前高涨。实体限制和封锁迫使企业、教育工作者、娱乐工作者和负责人迅速转向线上业务，迫切需要在最少人工干预的情况下进行大量内容製作。从教育材料到行销宣传活动，生成式人工智慧工具已成为满足线上内容需求（呈指数级增长）的必备解决方案。这种数位转型已将消费者和品牌互动永久转移到人工智慧增强型管道，使生成式人工智慧成为永续业务营运的关键基础设施组成部分。

文本生成部分预计将在预测期内占据最大份额

预计文本生成领域将在预测期内占据最大的市场占有率。这种优势归功于其在媒体、行销、客户服务和电子商务等行业的广泛应用，在这些行业中，人工智慧主导的文字生成技术可以自动化报导、报告、电子邮件和社交媒体贴文等内容的创建。先进的自然语言处理技术能够实现更深入的理解，并产生针对特定受众的、越来越准确、引人入胜且更人性化的文本。文本生成软体的成本效益使公司能够将创新资源分配给策略计划，同时在各个平台上保持一致的品牌形象，从而持续保持市场领先地位。

预计在预测期内，个人创作者和自由工作者群体的复合年增长率最高。

受先进内容创作能力普及化的推动，个人创作者和自由工作者细分市场预计将在预测期内实现最高成长率。使用者友善的生成式人工智慧工具只需极少的技术专业知识，便可帮助个人创作者创作出专业级的内容，而这些内容此前只有拥有雄厚资源的大型企业才能获得。创作者经济平台的激增以及个人化内容体验的日益流行，正推动着寻求透过人工智慧提升生产力来获得竞争优势的自由工作者的需求。经济高效的云端基础人工智慧平台使预算有限的用户也能轻鬆使用复杂的内容生成工具，从而扩大参与企业规模并加速该细分市场的成长。

比最大的地区

预计北美将在预测期内占据最大的市场占有率，这得益于其先进的人工智慧基础设施、大量的技术投入以及娱乐、行销和媒体行业企业对生成式人工智慧解决方案的广泛采用。美国凭藉着成熟的技术生态系统、大量的资金筹措以及早期采用人工智慧内容创作平台，引领着区域市场的发展。强大的法规结构、成熟的数位转型倡议以及倡议、微软和OpenAI等主要人工智慧公司的集中布局，巩固了北美作为市场领导的地位。

复合年增长率最高的地区：

预计亚太地区在预测期内将呈现最高的复合年增长率，这得益于新兴经济体大规模的数位转型、互联网普及率的提高以及对本地化、多语言内容创作需求的不断增长。人工智慧基础设施投资的不断增加、政府对技术应用的支持以及创作者经济平台的扩张，正在刺激该地区的市场发展。该地区多元化的语言环境为人工智慧驱动的内容在地化和文化适应性内容生成创造了巨大的机会，而经济高效的开发资源和不断增长的技术人才库则支持持续的创新和市场扩张。

成分

  • 软体
  • 服务

提供免费客製化：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 内容创作市场生成人工智慧（按内容类型）

  • 文字生成
  • 影像生成
  • 音讯生成
  • 影片生成
  • 程式码生成
  • 多模态和跨格式生成
  • 互动式身临其境型内容（AR/VR/3D）
  • 其他内容类型

6. 内容创作生成式人工智慧市场（按组件）

  • 软体
    • 独立平台
    • API 和 SDK
    • 云端基础的解决方案
  • 服务
    • 咨询服务
    • 实施和整合服务
    • 培训和支援服务

7. 内容创作生成式人工智慧市场（依部署模式）

  • 云端基础
  • 本地

8. 按应用程式分類的内容创作生成式人工智慧市场

  • 行销和广告
  • 媒体和娱乐
  • 游戏
  • 电子商务与零售
  • 教育和数位学习
  • 卫生保健
  • IT服务
  • 软体开发
  • 其他用途

9. 面向内容创作市场的生成式人工智慧（按最终用户）

  • 公司
  • 中小型企业 (SMB)
  • 个人创作者与自由工作者
  • 机构

10. 生成式人工智慧内容创作市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章：企业概况

  • OpenAI
  • Anthropic
  • Google/Alphabet
  • Microsoft
  • Adobe
  • Stability AI
  • Midjourney
  • Runway
  • Hugging Face
  • Canva
  • Jasper
  • Copy.ai
  • Writesonic
  • Grammarly
  • Synthesia
  • ElevenLabs
  • Descript
  • Amazon Web Services
  • Meta Platforms
  • IBM
Product Code: SMRC30319

According to Stratistics MRC, the Global Generative AI for Content Creation Market is accounted for $19.34 billion in 2025 and is expected to reach $126.02 billion by 2032 growing at a CAGR of 30.7% during the forecast period. Generative AI for content creation refers to advanced artificial intelligence systems designed to autonomously produce high-quality, original digital content across multiple formats, including text, images, audio, video, and code. Leveraging deep learning, natural language processing, and generative models such as GANs and transformers, these systems can replicate human-like creativity, enhance productivity, and enable personalized content at scale. This technology is increasingly adopted across industries for marketing, entertainment, design, and knowledge work, driving efficiency and innovation in content workflows.

Market Dynamics:

Driver:

Unprecedented efficiency & speed

Advanced AI algorithms enable rapid generation of high-quality text, images, videos, and audio content at scale, dramatically reducing production timelines from days to minutes. This unprecedented acceleration allows businesses to meet growing demands for personalized, multilingual content across diverse platforms while maintaining consistency and quality. Organizations leverage these capabilities to automate repetitive creative tasks, enabling human resources to focus on strategic initiatives and complex creative endeavors, ultimately driving cost-effectiveness and competitive advantage.

Restraint:

Copyright ambiguity & IP concerns

AI models trained on copyrighted materials may inadvertently generate content that infringes on existing trademarks, patents, or legally protected intellectual property, exposing organizations to potential litigation risks. Copyright ownership questions surrounding AI-generated content remain unresolved, creating ambiguity about authorship rights and commercial usage permissions. These ethical and legal challenges prompt discussions on regulatory frameworks and compliance requirements, potentially slowing market innovation and forcing organizations to implement extensive oversight mechanisms for AI-generated outputs.

Opportunity:

Integration into existing creative workflows

Organizations can seamlessly incorporate AI tools into established content production pipelines, enabling writers, designers, and marketers to collaborate with AI for ideation, drafting, and refinement processes. This collaborative approach democratizes content creation by making advanced AI capabilities accessible to non-technical users across various industries. The development of user-friendly, platform-agnostic AI tools that integrate with popular creative software suites creates new market segments, particularly among small businesses and independent creators seeking professional-grade content capabilities without extensive technical expertise.

Threat:

Deepfakes & misinformation proliferation

Advanced AI models can produce highly realistic but fabricated content, including synthetic videos, audio recordings, and text that can mislead audiences and undermine trust in AI-generated media. This capability enables malicious actors to accelerate sophisticated disinformation campaigns and create convincing fake content for deceptive purposes. The potential for AI-generated content to dilute human creativity and contribute to information pollution raises ethical concerns among consumers and regulators, potentially triggering restrictive regulations that could limit market growth.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated generative AI adoption in content creation markets, creating unprecedented demand for scalable digital content solutions. Physical restrictions and lockdowns forced businesses, educators, entertainers, and marketers to rapidly transition online operations, generating urgent needs for high-volume content production with minimal human intervention. Generative AI tools became essential solutions for meeting exponential growth in online content requirements, from educational materials to marketing campaigns. This digital transformation permanently shifted consumer-brand interactions toward AI-enhanced channels, establishing generative AI as a critical infrastructure component for sustained business operations.

The text generation segment is expected to be the largest during the forecast period

The text generation segment is expected to account for the largest market share during the forecast period. This dominance stems from widespread applications across industries, including media, marketing, customer service, and e-commerce, where AI-driven text generation automates content creation for articles, reports, emails, and social media posts. Advanced natural language processing technologies enable sophisticated understanding and generation of human-like text that is increasingly accurate, engaging, and tailored to specific audiences. The cost-effectiveness of text generation software allows organizations to allocate human creative resources to strategic projects while maintaining consistent brand voice across platforms, driving continued market leadership.

The individual creators & freelancers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the individual creators & freelancers segment is predicted to witness the highest growth rate, driven by the democratization of advanced content creation capabilities. User-friendly generative AI tools requiring minimal technical expertise are enabling independent creators to produce professional-grade content previously accessible only to large organizations with substantial resources. The proliferation of creator economy platforms and the growing trend toward personalized content experiences are fueling demand among freelancers seeking competitive advantages through AI-enhanced productivity. Cost-effective cloud-based AI platforms are making sophisticated content generation tools increasingly accessible to smaller budgets, expanding market participation and driving accelerated growth within this segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by advanced AI infrastructure, substantial technology investments, and widespread enterprise adoption of generative AI solutions across entertainment, marketing, and media industries. The United States leads regional market development with established tech ecosystems, significant venture capital funding, and early adoption of AI-powered content creation platforms. Strong regulatory frameworks, mature digital transformation initiatives, and the concentrated presence of leading AI companies, including Google, Microsoft, and OpenAI, reinforce North America's market leadership position.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by massive digital transformation initiatives across emerging economies, increasing internet penetration, and growing demand for localized multilingual content creation. Rising investments in AI infrastructure, government support for technology adoption, and expanding creator economy platforms are fueling regional market development. The region's diverse linguistic landscape creates substantial opportunities for AI-powered content localization and culturally adapted content generation, while cost-effective development resources and growing tech talent pools support sustained innovation and market expansion.

Key players in the market

Some of the key players in Generative AI for Content Creation Market include OpenAI, Anthropic, Google/Alphabet, Microsoft, Adobe, Stability AI, Midjourney, Runway, Hugging Face, Canva, Jasper, Copy.ai, Writesonic, Grammarly, Synthesia, ElevenLabs, Descript, Amazon Web Services, Meta Platforms, and IBM.

Key Developments:

In April 2025, The Washington Post announced today a strategic partnership with OpenAI to make high-quality news more accessible in ChatGPT. As part of this partnership, ChatGPT will display summaries, quotes, and links to original reporting from The Post in response to relevant questions. This partnership reflects a shared commitment to making reliable, factual information easier to find and engage with, especially on complex or fast-moving topics, where timely, well-sourced reporting, like that of The Post, matters most.

In October 2024, Adobe announced the general availability of Adobe GenStudio for Performance Marketing, a new generative AI-first application that empowers brands and agencies to accelerate the delivery of global advertising and marketing campaigns. The new offering addresses one of the biggest challenges facing businesses today, where the need for highly personalized, on-brand and performant content-across a myriad of channels and geographies-is outstripping available resources. In fact, between now and 2026, nearly two-thirds of marketers believe the demand for content will grow by at least five times, driven by consumers who expect brand experiences that are dynamic and personalized to their interests.

In March 2024, Media.Monks and Runway are entering into a collaborative partnership that provides the global creative teams and clients of Media.Monks with advanced access to new creative tools and artificial intelligence (AI) models.

Content Types Covered:

  • Text Generation
  • Image Generation
  • Audio Generation
  • Video Generation
  • Code Generation
  • Multimodal & Cross-Format Generation
  • Interactive & Immersive Content (AR/VR/3D)
  • Other Content Types

Components:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud-based
  • On-premises

Applications Covered:

  • Marketing & Advertising
  • Media & Entertainment
  • Gaming
  • E-commerce & Retail
  • Education & E-Learning
  • Healthcare
  • IT Services
  • Software Development
  • Other Applications

End Users Covered:

  • Enterprises
  • Small & Medium-sized Businesses (SMBs)
  • Individual Creators & Freelancers
  • Agencies

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Generative AI for Content Creation Market, By Content Type

  • 5.1 Introduction
  • 5.2 Text Generation
  • 5.3 Image Generation
  • 5.4 Audio Generation
  • 5.5 Video Generation
  • 5.6 Code Generation
  • 5.7 Multimodal & Cross-Format Generation
  • 5.8 Interactive & Immersive Content (AR/VR/3D)
  • 5.9 Other Content Types

6 Global Generative AI for Content Creation Market, By Component

  • 6.1 Introduction
  • 6.2 Software
    • 6.2.1 Standalone Platforms
    • 6.2.2 API & SDKs
    • 6.2.3 Cloud-based Solutions
  • 6.3 Services
    • 6.3.1 Consulting Services
    • 6.3.2 Implementation & Integration Services
    • 6.3.3 Training & Support Services

7 Global Generative AI for Content Creation Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud-based
  • 7.3 On-premises

8 Global Generative AI for Content Creation Market, By Application

  • 8.1 Introduction
  • 8.2 Marketing & Advertising
  • 8.3 Media & Entertainment
  • 8.4 Gaming
  • 8.5 E-commerce & Retail
  • 8.6 Education & E-Learning
  • 8.7 Healthcare
  • 8.8 IT Services
  • 8.9 Software Development
  • 8.10 Other Applications

9 Global Generative AI for Content Creation Market, By End User

  • 9.1 Introduction
  • 9.2 Enterprises
  • 9.3 Small & Medium-sized Businesses (SMBs)
  • 9.4 Individual Creators & Freelancers
  • 9.5 Agencies

10 Global Generative AI for Content Creation Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 OpenAI
  • 12.2 Anthropic
  • 12.3 Google / Alphabet
  • 12.4 Microsoft
  • 12.5 Adobe
  • 12.6 Stability AI
  • 12.7 Midjourney
  • 12.8 Runway
  • 12.9 Hugging Face
  • 12.10 Canva
  • 12.11 Jasper
  • 12.12 Copy.ai
  • 12.13 Writesonic
  • 12.14 Grammarly
  • 12.15 Synthesia
  • 12.16 ElevenLabs
  • 12.17 Descript
  • 12.18 Amazon Web Services
  • 12.19 Meta Platforms
  • 12.20 IBM

List of Tables

  • Table 1 Global Generative AI for Content Creation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Generative AI for Content Creation Market Outlook, By Content Type (2024-2032) ($MN)
  • Table 3 Global Generative AI for Content Creation Market Outlook, By Text Generation (2024-2032) ($MN)
  • Table 4 Global Generative AI for Content Creation Market Outlook, By Image Generation (2024-2032) ($MN)
  • Table 5 Global Generative AI for Content Creation Market Outlook, By Audio Generation (2024-2032) ($MN)
  • Table 6 Global Generative AI for Content Creation Market Outlook, By Video Generation (2024-2032) ($MN)
  • Table 7 Global Generative AI for Content Creation Market Outlook, By Code Generation (2024-2032) ($MN)
  • Table 8 Global Generative AI for Content Creation Market Outlook, By Multimodal & Cross-Format Generation (2024-2032) ($MN)
  • Table 9 Global Generative AI for Content Creation Market Outlook, By Interactive & Immersive Content (AR/VR/3D) (2024-2032) ($MN)
  • Table 10 Global Generative AI for Content Creation Market Outlook, By Other Content Types (2024-2032) ($MN)
  • Table 11 Global Generative AI for Content Creation Market Outlook, By Component (2024-2032) ($MN)
  • Table 12 Global Generative AI for Content Creation Market Outlook, By Software (2024-2032) ($MN)
  • Table 13 Global Generative AI for Content Creation Market Outlook, By Standalone Platforms (2024-2032) ($MN)
  • Table 14 Global Generative AI for Content Creation Market Outlook, By API & SDKs (2024-2032) ($MN)
  • Table 15 Global Generative AI for Content Creation Market Outlook, By Cloud-based Solutions (2024-2032) ($MN)
  • Table 16 Global Generative AI for Content Creation Market Outlook, By Services (2024-2032) ($MN)
  • Table 17 Global Generative AI for Content Creation Market Outlook, By Consulting Services (2024-2032) ($MN)
  • Table 18 Global Generative AI for Content Creation Market Outlook, By Implementation & Integration Services (2024-2032) ($MN)
  • Table 19 Global Generative AI for Content Creation Market Outlook, By Training & Support Services (2024-2032) ($MN)
  • Table 20 Global Generative AI for Content Creation Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 21 Global Generative AI for Content Creation Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 22 Global Generative AI for Content Creation Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 23 Global Generative AI for Content Creation Market Outlook, By Application (2024-2032) ($MN)
  • Table 24 Global Generative AI for Content Creation Market Outlook, By Marketing & Advertising (2024-2032) ($MN)
  • Table 25 Global Generative AI for Content Creation Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 26 Global Generative AI for Content Creation Market Outlook, By Gaming (2024-2032) ($MN)
  • Table 27 Global Generative AI for Content Creation Market Outlook, By E-commerce & Retail (2024-2032) ($MN)
  • Table 28 Global Generative AI for Content Creation Market Outlook, By Education & E-Learning (2024-2032) ($MN)
  • Table 29 Global Generative AI for Content Creation Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 30 Global Generative AI for Content Creation Market Outlook, By IT Services (2024-2032) ($MN)
  • Table 31 Global Generative AI for Content Creation Market Outlook, By Software Development (2024-2032) ($MN)
  • Table 32 Global Generative AI for Content Creation Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 33 Global Generative AI for Content Creation Market Outlook, By End User (2024-2032) ($MN)
  • Table 34 Global Generative AI for Content Creation Market Outlook, By Enterprises (2024-2032) ($MN)
  • Table 35 Global Generative AI for Content Creation Market Outlook, By Small & Medium-sized Businesses (SMBs) (2024-2032) ($MN)
  • Table 36 Global Generative AI for Content Creation Market Outlook, By Individual Creators & Freelancers (2024-2032) ($MN)
  • Table 37 Global Generative AI for Content Creation Market Outlook, By Agencies (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.