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1797949

2032 年內容創作生成式人工智慧市場預測：按內容類型、組件、部署模式、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球內容創作生成人工智慧市場規模預計在 2025 年將達到 193.4 億美元，到 2032 年將達到 1,260.2 億美元，預測期內的複合年成長率為 30.7%。

用於內容創作的生成式人工智慧是指先進的人工智慧系統，旨在自主生成多種格式的高品質原創數位內容，包括文字、圖像、音訊、影片和程式碼。透過利用深度學習、自然語言處理以及 GAN 和變壓器等生成模型，這些系統可以複製類似人類的創造力，從而提高生產力並大規模創建個人化內容。這項技術正被擴大應用於行銷、娛樂、設計和知識型工作等行業，以推動內容工作流程的效率和創新。

前所未有的效率和速度

先進的人工智慧演算法能夠快速大規模產生高品質的文字、圖像、影片和音訊內容，將生產時間從幾天縮短至幾分鐘。這種前所未有的速度使企業能夠滿足日益成長的跨平台個人化、多語言內容需求，同時保持一致性和品質。這些功能使企業能夠自動化重複性的創新任務，從而釋放人力資源，使其專注於策略規劃和複雜的創新工作。

版權模糊性和智慧財產權問題

使用受版權保護的材料訓練的人工智慧模型可能會無意中產生侵犯現有商標、專利或其他受法律保護的智慧財產權的內容，從而使公司面臨潛在的訴訟風險。圍繞人工智慧生成內容的版權所有權問題仍未解決，導致作者權利和允許的商業用途方面存在模糊性。這些倫理和法律挑戰引發了關於法律規範和合規要求的爭論，這可能會減緩市場創新，並迫使企業對人工智慧生成的輸出內容實施廣泛的監督機制。

融入現有的創新工作流程

組織可以將AI工具無縫整合到現有的內容製作流程中，使作者、設計師和負責人能夠在構思、起草和完善過程中與AI合作。這種協作方式使各行各業的非技術用戶都能輕鬆使用先進的AI功能，從而實現內容創作的民主化。使用者友好、平台無關且可與熱門創新軟體套件整合的AI工具的開發，創造了一個新的細分市場，尤其是在小型企業和獨立創作者群體中，他們無需具備豐富的技術專業知識即可獲得專業級的內容功能。

深度造假和假訊息的傳播

先進的人工智慧模型可以產生高度逼真但又虛假的內容，包括合成影片、錄音和文本，這些內容可能會誤導受眾，並破壞人們對人工智慧生成媒體的信任。這種能力使不法分子得以煽動複雜的假訊息宣傳活動，並製造出令人信服的虛假內容以達到欺騙目的。人工智慧產生的內容可能會削弱人類的創造力並加劇資訊污染，這引發了消費者和監管機構的道德擔憂，並可能促使推出限制性法規，從而限制市場成長。

COVID-19的影響：

新冠疫情顯著加速了生成式人工智慧在內容創作市場的應用，對可擴展數位內容解決方案的需求空前高漲。實體限制和封鎖迫使企業、教育工作者、娛樂工作者和負責人迅速轉向線上業務，迫切需要在最少人工干預的情況下進行大量內容製作。從教育材料到行銷宣傳活動，生成式人工智慧工具已成為滿足線上內容需求（呈指數級成長）的必備解決方案。這種數位轉型已將消費者和品牌互動永久轉移到人工智慧增強型管道，使生成式人工智慧成為永續業務營運的關鍵基礎設施組成部分。

文本生成部分預計將在預測期內佔據最大佔有率

預計文本生成領域將在預測期內佔據最大的市場佔有率。這種優勢歸功於其在媒體、行銷、客戶服務和電子商務等行業的廣泛應用，在這些行業中，人工智慧主導的文字生成技術可以自動化報導、報告、電子郵件和社交媒體貼文等內容的創建。先進的自然語言處理技術能夠實現更深入的理解，並產生針對特定受眾的、越來越準確、引人入勝且更人性化的文本。文本生成軟體的成本效益使公司能夠將創新資源分配給策略計劃，同時在各個平台上保持一致的品牌形象，從而持續保持市場領先地位。

預計在預測期內，個人創作者和自由工作者群體的複合年成長率最高。

受先進內容創作能力普及化的推動，個人創作者和自由工作者細分市場預計將在預測期內實現最高成長率。使用者友善的生成式人工智慧工具只需極少的技術專業知識，便可幫助個人創作者創作出專業級的內容，而這些內容此前只有擁有雄厚資源的大型企業才能獲得。創作者經濟平台的激增以及個人化內容體驗的日益流行，正推動著尋求透過人工智慧提升生產力來獲得競爭優勢的自由工作者的需求。經濟高效的雲端基礎人工智慧平台使預算有限的用戶也能輕鬆使用複雜的內容生成工具，從而擴大參與企業規模並加速該細分市場的成長。

比最大的地區

預計北美將在預測期內佔據最大的市場佔有率，這得益於其先進的人工智慧基礎設施、大量的技術投入以及娛樂、行銷和媒體行業企業對生成式人工智慧解決方案的廣泛採用。美國憑藉著成熟的技術生態系統、大量的資金籌措以及早期採用人工智慧內容創作平台，引領著區域市場的發展。強大的法規結構、成熟的數位轉型舉措以及舉措、微軟和OpenAI等主要人工智慧公司的集中佈局，鞏固了北美作為市場領導的地位。

複合年成長率最高的地區：

預計亞太地區在預測期內將呈現最高的複合年成長率，這得益於新興經濟體大規模的數位轉型、網際網路普及率的提高以及對本地化、多語言內容創作需求的不斷成長。人工智慧基礎設施投資的不斷增加、政府對技術應用的支持以及創作者經濟平台的擴張，正在刺激該地區的市場發展。該地區多元化的語言環境為人工智慧驅動的內容在地化和文化適應性內容生成創造了巨大的機會，而經濟高效的開發資源和不斷成長的技術人才庫則支持持續的創新和市場擴張。

成分

  • 軟體
  • 服務

提供免費客製化：

此報告的訂閱者可以使用以下免費自訂選項之一：

  • 公司簡介
    • 全面分析其他市場參與者（最多 3 家公司）
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 內容創作市場生成人工智慧（按內容類型）

  • 文字生成
  • 影像生成
  • 音訊生成
  • 影片生成
  • 程式碼生成
  • 多模態和跨格式生成
  • 互動式身臨其境型內容（AR/VR/3D）
  • 其他內容類型

6. 內容創作生成式人工智慧市場（按組件）

  • 軟體
    • 獨立平台
    • API 和 SDK
    • 雲端基礎的解決方案
  • 服務
    • 諮詢服務
    • 實施和整合服務
    • 培訓和支援服務

7. 內容創作生成式人工智慧市場（依部署模式）

  • 雲端基礎
  • 本地

8. 按應用程式分類的內容創作生成式人工智慧市場

  • 行銷和廣告
  • 媒體和娛樂
  • 遊戲
  • 電子商務與零售
  • 教育和數位學習
  • 衛生保健
  • IT服務
  • 軟體開發
  • 其他用途

9. 面向內容創作市場的生成式人工智慧（按最終用戶）

  • 公司
  • 中小型企業 (SMB)
  • 個人創作者與自由工作者
  • 機構

10. 生成式人工智慧內容創作市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章：企業概況

  • 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.