시장보고서
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컨텐츠 제작용 생성형 AI 시장 : 시장 규모, 점유율, 동향 분석(컴포넌트별, 용도별, 산업별, 지역별), 전망, 예측(2025년-2032년)

Global Generative AI In Content Creation Market Size, Share & Industry Analysis Report By Component, By Application, By Industry, By Regional Outlook and Forecast, 2025 - 2032

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 340 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

컨텐츠 제작용 생성형 AI 시장 규모는 예측 기간 중에 32.0%의 연평균 복합 성장률(CAGR)로 성장하여 2032년까지 1,342억 3,000만 달러에 이를 것으로 예측됩니다.

KBV Cardinal matrix: 컨텐츠 제작을 위한 생성형 AI 시장 경쟁 분석

KBV Cardinal matrix의 분석에 따르면, Google LLC, Microsoft Corporation, NVIDIA Corporation이 컨텐츠 제작을 위한 생성형 AI 시장의 선구자이며, 2025년 4월 Google LLC는 로레알과 제휴하여 마케팅 컨텐츠 제작을 효율화하는 생성형 AI 플랫폼을 개발했습니다. 마케팅 컨텐츠 제작을 효율화하는 생성형 AI 플랫폼을 개발했습니다. 이 플랫폼은 매월 최대 5만 장의 이미지와 500개의 동영상을 생성하여 효율성을 높이고, 처리 시간을 단축하며, 개발 프로세스의 지속가능성을 촉진할 수 있습니다. 컨텐츠 제작을 위한 생성형 AI 시장의 주요 혁신가입니다.

코로나19의 영향 분석

코로나19 팬데믹은 모든 산업 분야에서 디지털 기술 도입을 극적으로 가속화했으며, 컨텐츠 제작을 위한 생성형 AI는 이 기간 동안 괄목할 만한 성장을 이루었습니다. 물리적 제한과 봉쇄로 인해 기업, 교육자, 엔터테이너, 마케터들이 온라인으로 전환하면서 확장 가능하고 신속한 컨텐츠 개발에 대한 수요가 급증했습니다. 최소한의 인력 개입으로 텍스트, 비주얼, 멀티미디어 컨텐츠를 생성할 수 있는 생성형 AI 툴은 온라인 컨텐츠에 대한 수요 증가에 대응하는 필수적인 솔루션으로 빠르게 자리 잡았습니다. 이처럼 코로나19 팬데믹은 시장에 긍정적인 영향을 미쳤습니다.

시장 성장 요인

디지털 시대는 다양한 플랫폼과 산업에서 전례 없는 컨텐츠 수요를 창출하고 있습니다. 기업, 미디어, 교육기관은 청중의 관심을 끌기 위해 방대한 양의 고품질 컨텐츠를 제작해야 한다는 끊임없는 압박을 받고 있습니다. 기존의 인력에 의존하는 컨텐츠 제작 방식으로는 시간, 리소스, 확장성의 제약으로 인해 이러한 수요를 충족시키기 어려운 경우가 많습니다. 따라서 확장성, 비용 효율성, 그리고 고품질 컨텐츠에 대한 수요가 시장 성장을 주도하고 있습니다.

또한 최근 몇 년 동안 AI 기술, 특히 자연어 처리(NLP), 컴퓨터 비전, 적대적 생성 네트워크(GAN)는 비약적인 발전을 이루었습니다. 이러한 발전은 다양한 형식의 컨텐츠를 동시에 처리하고 생성할 수 있는 멀티모달 AI 시스템의 출현으로 이어졌고, AI 기술과 멀티모달 기능의 발전은 시장 성장을 주도하고 있습니다.

시장 성장 억제요인

그러나 생성형 AI 모델은 뛰어난 능력을 가지고 있는 반면, 정확성과 신뢰성에 대한 문제에 종종 직면하고 있습니다. 이러한 모델은 겉보기에는 일관성 있고 문맥상 적절해 보이는 컨텐츠를 생성하지만, 사실상의 부정확성이나 조작된 정보(일반적으로 '환각'이라고 불리는 현상)를 포함할 수 있습니다. 이러한 부정확성은 특히 저널리즘, 법률 문서, 학술 연구 등 사실의 정확성이 매우 중요한 분야에서 컨텐츠의 신뢰성을 떨어뜨릴 수 있습니다. 결론적으로, 정확성과 신뢰성의 문제가 시장 성장을 저해하고 있다고 할 수 있습니다.

가치사슬 분석

컨텐츠 제작 시장에서 생성형 AI의 밸류체인은 그림과 같이 여러 단계의 상호 연관된 단계에 걸쳐 있습니다. 인프라 계층에서 기반 기술을 제공하고, 데이터 수집 및 준비에서 데이터 세트를 수집하고 조정합니다. 모델 개발은 AI 알고리즘 구축에 중점을 둡니다. 용도 계층에서는 이러한 모델을 사용 가능한 도구에 통합하고, 후처리 및 품질 관리를 통해 정확성과 신뢰성을 보장하면서 컨텐츠 배포 및 통합을 통해 최종 결과물을 최종 사용자에게 제공합니다. 사용자 상호작용과 피드백 루프를 통해 지속적인 개선을 보장합니다. 상품화 및 수익화를 통해 수익을 창출합니다. 사람에 의한 모니터링과 인력 관리로 품질을 보장합니다. 법적 및 도덕적 문제를 해결하기 위한 윤리 및 규제 준수, 영향력을 측정하고 성과를 최적화하기 위한 컨텐츠 분석 및 성과 추적과 같은 기능은 AI 기반 컨텐츠 제작을 위한 종합적인 생태계를 구축하는 데 중요한 역할을 합니다. 구축합니다.

시장 점유율 분석

구성 요소별 전망

시장은 구성 요소에 따라 소프트웨어 및 서비스로 분류됩니다. 서비스 부문은 2024년 25%의 매출 점유율을 차지할 것으로 예상되며, AI 소프트웨어의 효과적인 도입 및 관리에 중요한 지원 역할을 할 것으로 예측됩니다. 서비스에는 컨설팅, 모델 커스터마이징, 구현, 컴플라이언스 지원, 지속적인 최적화 등이 포함됩니다. 이러한 서비스는 사내 AI 전문 지식이 부족한 조직에 특히 중요합니다. 서비스 제공업체는 윤리적 기준을 유지하면서 특정 산업 요구에 맞게 생성된 AI 툴을 맞춤화할 수 있도록 지원합니다.

용도별 전망

용도별로 시장은 텍스트 생성, 이미지 생성, 음성 생성, 비디오 생성, 기타 용도으로 분류됩니다. 이미지 생성 부문은 DALL*E, Adobe Firefly, Midjourney와 같은 도구에 힘입어 2024년 20%의 매출 점유율을 차지할 것으로 예측됩니다. 이들 플랫폼은 GAN과 확산 모델을 활용하여 텍스트 프롬프트에서 고해상도 그래픽과 디지털 아트를 생성합니다. 디자인, 게임, 광고 분야에서 널리 사용되는 이미지 생성은 기존의 크리에이티브 워크플로우를 대체할 수 있는 빠르고 저렴한 대안을 제공합니다.

산업별 전망

산업별로 보면, 시장은 엔터테인먼트 미디어, 마케팅 및 광고, 전자상거래, 의료, 기타로 분류됩니다. 마케팅 및 광고 부문은 2024년 매출의 25%를 차지하며 두 번째로 큰 비중을 차지할 것으로 예측됩니다. 이는 초개인화된 데이터 기반 컨텐츠 캠페인에 AI를 도입하는 움직임이 두드러집니다. 브랜드들은 DALL*E, Synthesia와 같은 툴을 활용하여 광고, 소셜 미디어 크리에이티브, 인플루언서 스크립트를 제작하고 있으며, A/B 테스트와 감정 기반 최적화를 자동화하여 ROI(투자수익률)와 캠페인의 민첩성을 향상시키고 있습니다. 향상시키고 있습니다.

지역별 전망

지역별로는 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카로 구분됩니다. 북미는 컨텐츠 제작을 위한 생성형 AI 시장에서 지배적인 위치를 차지하고 있으며, 2024년에는 전 세계 매출의 37%를 차지할 것으로 예측됩니다. 이 지역은 OpenAI, Meta, Adobe, Google과 같은 주요 기술 기업의 존재로 인해 미디어, 전자상거래, 엔터테인먼트 분야의 혁신을 주도하고 있습니다. 성숙한 인프라와 강력한 R&D 투자로 마케팅, 컨텐츠 자동화, 디지털 스토리텔링에 AI 도구의 통합이 널리 보급되고 있습니다.

시장 경쟁과 특성

컨텐츠 제작을 위한 생성형 AI 시장에서의 경쟁은 세분화되고 치열함은 완화될 것입니다. 소규모 스타트업과 틈새 시장이 혁신과 전문성 높은 솔루션에 집중하며 시장을 독점할 것입니다. 이러한 환경은 다양한 접근 방식과 실험을 장려하는 반면, 대기업이 업계 전반에 빠른 도입과 표준화를 촉진할 수 있는 규모와 영향력을 갖지 못할 것입니다.

목차

제1장 시장 범위 및 분석 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 분석 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 경쟁 분석 : 세계 시장

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 사업 제휴 및 협력, 계약
    • 제품 발매, 확대
    • 인수합병(M&A)
  • 시장 점유율 분석(2024년)
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter의 Five Forces 분석

제5장 컨텐츠 제작용 생성형 AI 시장 : 밸류체인 분석

  • 인프라 레이어
  • 데이터 수집 및 준비
  • 모델 개발
  • 애플리케이션 레이어
  • 후처리 및 품질관리
  • 컨텐츠 전송 및 통합
  • 사용자 인터랙션 및 피드백 루프
  • 상업화 및 수익화
  • 인적 감독 및 인재 관리
  • 윤리 및 규제 준수
  • 컨텐츠 분석 및 성과 추적

제6장 세계의 컨텐츠 제작용 생성형 AI 시장 : 주요 고객 기준

  • 출력 품질 및 정밀도
  • 커스터마이즈 및 브랜드 정합성
  • 기존 워크플로우와의 통합
  • 비용 효율과 확장성
  • 데이터 프라이버시와 컴플라이언스
  • 다언어 및 멀티모달 기능
  • 스피드 및 자동화
  • 윤리적인 AI와 투명성

제7장 세계의 컨텐츠 제작용 생성형 AI 시장 : 컴포넌트별

  • 세계의 소프트웨어 시장 : 지역별
  • 세계의 서비스 시장 : 지역별

제8장 세계의 컨텐츠 제작용 생성형 AI 시장 : 용도별

  • 세계의 텍스트 생성 시장 : 지역별
  • 세계의 이미지 생성 시장 : 지역별
  • 세계의 오디오 생성 시장 : 지역별
  • 세계의 비디오 생성 시장 : 지역별
  • 세계의 기타 용도 시장 : 지역별

제9장 세계의 컨텐츠 제작용 생성형 AI 시장 : 산업별

  • 세계의 엔터테인먼트 및 미디어 시장 : 지역별
  • 세계의 마케팅 및 광고 시장 : 지역별
  • 세계의 E-Commerce 시장 : 지역별
  • 세계의 의료 시장 : 지역별
  • 세계의 기타 산업 시장 : 지역별

제10장 세계의 컨텐츠 제작용 생성형 AI 시장 : 지역별

  • 북미
    • 북미의 컨텐츠 제작용 생성형 AI 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽의 컨텐츠 제작용 생성형 AI 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양의 컨텐츠 제작용 생성형 AI 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카/중동 및 아프리카
    • 라틴아메리카/중동 및 아프리카의 컨텐츠 제작용 생성형 AI 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카/중동 및 아프리카

제11장 기업 개요

  • Adobe, Inc
  • Autodesk, Inc
  • Coherent Corp
  • Google LLC(Alphabet Inc)
  • Jasper, Inc
  • Microsoft Corporation
  • NVIDIA Corporation
  • OpenAI, LLC
  • Samsung Electronics Co, Ltd.(Samsung Group)
  • CopyAI, Inc

제12장 컨텐츠 제작용 생성형 AI 시장을 위한 성공 필수 조건

LSH 25.07.21

The Global Generative AI In Content Creation Market size is expected to reach $134.23 billion by 2032, rising at a market growth of 32.0% CAGR during the forecast period.

The ability to personalize content at scale, integrate with existing platforms, and support multiple languages has made generative AI software an essential asset for content creators and enterprises. The ongoing shift toward multimodal content and open-source innovations has further boosted software's reach, especially among startups and SMEs.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In March, 2025, Adobe, Inc. and Publicis Groupe expanded their partnership, integrating Adobe Firefly Generative AI with Publicis' CoreAI platform, enhancing personalized content creation, efficiency, and creativity at scale, benefiting clients with data-driven, AI-powered creative solutions across marketing and advertising. Additionally, In January, 2025, OpenAI partners with Axios and other media organizations to support local news expansion and improve journalism workflows. By integrating AI tools like ChatGPT, OpenAI enhances content creation, offering summarized news with citations to strengthen the news ecosystem.

KBV Cardinal Matrix - Generative AI In Content Creation Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Microsoft Corporation and NVIDIA Corporation are the forerunners in the Generative AI In Content Creation Market. In April, 2025, Google LLC partnered with L'Oreal to create a generative AI platform that streamlines marketing content production. The platform generates up to 50,000 images and 500 videos monthly, enhancing efficiency, reducing turnaround times, and promoting sustainability in development processes. Companies such as Samsung Electronics Co., Ltd. and Adobe, Inc. are some of the key innovators in Generative AI In Content Creation Market.

COVID 19 Impact Analysis

The COVID-19 pandemic significantly accelerated the adoption of digital technologies across industries, and generative AI in content creation experienced a notable boost during this period. With physical restrictions and lockdowns forcing businesses, educators, entertainers, and marketers to move online, there was a sudden and urgent demand for scalable and rapid content development. Generative AI tools, capable of producing text, visuals, and multimedia content with minimal human input, quickly became essential solutions for meeting the growing need for online content. Thus, the COVID-19 pandemic had a positive impact on the market.

Market Growth Factors

The digital age has ushered in an unprecedented demand for content across various platforms and industries. Businesses, media outlets, and educational institutions are under constant pressure to produce vast amounts of high-quality content to engage their audiences. Traditional content creation methods, reliant on human effort, often struggle to meet this demand due to limitations in time, resources, and scalability. Thus, Demand for Scalable, Cost-Effective, and High-Quality Content is driving the growth of the market.

Additionally, Recent years have witnessed significant advancements in AI technologies, particularly in natural language processing (NLP), computer vision, and generative adversarial networks (GANs). These developments have culminated in the emergence of multimodal AI systems capable of processing and generating content across various formats simultaneously. Hence, Advancements in AI Technologies and Multimodal Capabilities is propelling the growth of the market.

Market Restraining Factors

However, Generative AI models, while impressive in their capabilities, often grapple with issues related to accuracy and reliability. These models can produce content that appears coherent and contextually appropriate but may contain factual inaccuracies or fabricated information, a phenomenon commonly referred to as "hallucination." Such inaccuracies can undermine the credibility of content, especially in fields where factual precision is paramount, like journalism, legal documentation, and academic research. In conclusion, Accuracy and Reliability Challenges are hindering the growth of the market.

Value Chain Analysis

The value chain of generative AI in the content creation market, as depicted in the diagram, spans multiple interconnected stages. It begins with the Infrastructure Layer, providing the foundational technology, followed by Data Acquisition & Preparation to gather and refine datasets. Model Development focuses on building AI algorithms. The Application Layer integrates these models into usable tools which are then refined through Post-Processing & Quality Control to ensure accuracy and reliability while Content Distribution & Integration delivers the final output to end users. User Interaction & Feedback Loop ensures continuous improvement. Commercialization & Monetization to drive revenue. Human Oversight & Talent Management for quality assurance. Supporting this process are critical, functions like Ethical & Regulatory Compliance to address legal and moral concerns, and Content Analytics & Performance Tracking measures impact and optimizes performance, creating a comprehensive ecosystem for AI-driven content creation.

Market Share Analysis

Component Outlook

Based on the Component, the market is segmented into Software and Services. The Services segment acquired 25% revenue share in 2024, plays a vital supportive role in ensuring the effective deployment and management of AI software. Services include consulting, model customization, implementation, compliance support, and ongoing optimization. These are especially critical for organizations lacking in-house AI expertise. Service providers help tailor generative AI tools to specific industry needs while maintaining ethical standards.

Application Outlook

Based on the Application, the market is segmented into Text Generation, Image Generation, Audio Generation, Video Generation, and Other Application. Image Generation segment held 20% revenue share in 2024, this is fueled by tools such as DALL*E, Adobe Firefly, and Midjourney. These platforms leverage GANs and diffusion models to produce high-resolution graphics and digital art from text prompts. Widely used in design, gaming, and advertising, image generation offers rapid, low-cost alternatives to traditional creative workflows.

Industry Outlook

Based on the Industry, the market is segmented into Entertainment & Media, Marketing & Advertising, E-commerce, Healthcare, and Other Industry. Marketing & Advertising segment attained 25% revenue share in 2024, this follows closely, adopting AI for hyper-personalized and data-driven content campaigns. Brands use tools like DALL*E and Synthesia for generating ads, social media creatives, and influencer scripts. The ability to automate A/B testing and sentiment-based optimization is driving greater ROI and campaign agility.

Regional Outlook

Based on the Region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. North America holds the dominant position in the Generative AI for Content Creation Market, accounting for 37% of the global revenue in 2024. The region benefits from the presence of major technology companies like OpenAI, Meta, Adobe, and Google, which drive innovation across media, e-commerce, and entertainment. The integration of AI tools into marketing, content automation, and digital storytelling is widespread due to mature infrastructure and strong R&D investments.

Market Competition and Attributes

The competition in the Generative AI in Content Creation market would be fragmented and less intense. Smaller startups and niche companies would dominate, focusing on innovation and specialized solutions. This environment would encourage diverse approaches and experimentation but lack the scale and influence that major players bring to drive rapid industry-wide adoption and standardization.

Recent Strategies Deployed in the Market

  • Dec-2024: Jasper AI, Inc. has launched Jasper Studio, a no-code AI App Builder, and a native Slack integration to empower marketing teams. These tools allow marketers to create and scale AI applications, streamlining content creation, improving efficiency, and ensuring brand consistency.
  • Oct-2024: Autodesk, Inc. has enhanced its creative tools, including Arnold, Flame, and Maya, by integrating AI to automate tasks and improve media and entertainment workflows. New AI features include denoising renders, generating realistic frames, and enhancing character animation, driving greater efficiency and creativity.
  • Oct-2024: OpenAI has partnered with Hearst to integrate content from Hearst's renowned brands like Houston Chronicle, Esquire, and ELLE into OpenAI products. This collaboration enriches ChatGPT with curated lifestyle, news, and fashion content, enhancing user experience with reliable, trusted journalism.
  • May-2024: Autodesk, Inc. acquired Wonder Dynamics, enhancing its AI-powered 3D animation and VFX capabilities. This move empowers artists to create high-quality 3D content faster, integrating Wonder Studio with Autodesk's tools, streamlining workflows, and making content creation more accessible and efficient.
  • May-2024: Adobe, Inc. and IBM expanded their partnership, leveraging Adobe Firefly Generative AI in Adobe Express for Enterprise to accelerate personalized content creation, streamline workflows, and enhance marketing efficiency, benefiting IBM and Red Hat with rapid, scalable asset production.

List of Key Companies Profiled

  • Adobe, Inc.
  • Autodesk, Inc.
  • Coherent Corp.
  • Google LLC (Alphabet Inc.)
  • Jasper AI, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • OpenAI, LLC
  • Samsung Electronics Co., Ltd. (Samsung Group)
  • CopyAI, Inc.

Global Generative AI In Content Creation Market Report Segmentation

By Component

  • Software
  • Services

By Application

  • Text Generation
  • Image Generation
  • Audio Generation
  • Video Generation
  • Other Application

By Industry

  • Entertainment & Media
  • Marketing & Advertising
  • E-commerce
  • Healthcare
  • Other Industry

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Generative AI In Content Creation Market, by Component
    • 1.4.2 Global Generative AI In Content Creation Market, by Application
    • 1.4.3 Global Generative AI In Content Creation Market, by Industry
    • 1.4.4 Global Generative AI In Content Creation Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2024
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, May - 2025, Apr) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis Generative AI In Content Creation Market

  • 5.1 Infrastructure Layer
  • 5.2 Data Acquisition & Preparation
  • 5.3 Model Development
  • 5.4 Application Layer
  • 5.5 Post-Processing & Quality Control
  • 5.6 Content Distribution & Integration
  • 5.7 User Interaction & Feedback Loop
  • 5.8 Commercialization & Monetization
  • 5.9 Human Oversight & Talent Management
  • 5.10. Ethical & Regulatory Compliance
  • 5.11 Content Analytics & Performance Tracking

Chapter 6. Key Customer Criteria of Global Generative AI In Content Creation Market

  • 6.1 Output Quality and Accuracy
  • 6.2 Customization and Brand Alignment
  • 6.3 Integration with Existing Workflows
  • 6.4 Cost-Effectiveness and Scalability
  • 6.5 Data Privacy and Compliance
  • 6.6 Multilingual and Multimodal Capabilities
  • 6.7 Speed and Automation
  • 6.8 Ethical AI and Transparency

Chapter 7. Global Generative AI In Content Creation Market by Component

  • 7.1 Global Software Market by Region
  • 7.2 Global Services Market by Region

Chapter 8. Global Generative AI In Content Creation Market by Application

  • 8.1 Global Text Generation Market by Region
  • 8.2 Global Image Generation Market by Region
  • 8.3 Global Audio Generation Market by Region
  • 8.4 Global Video Generation Market by Region
  • 8.5 Global Other Application Market by Region

Chapter 9. Global Generative AI In Content Creation Market by Industry

  • 9.1 Global Entertainment & Media Market by Region
  • 9.2 Global Marketing & Advertising Market by Region
  • 9.3 Global E-commerce Market by Region
  • 9.4 Global Healthcare Market by Region
  • 9.5 Global Other Industry Market by Region

Chapter 10. Global Generative AI In Content Creation Market by Region

  • 10.1 North America Generative AI In Content Creation Market
    • 10.1.1 North America Generative AI In Content Creation Market by Component
      • 10.1.1.1 North America Software Market by Region
      • 10.1.1.2 North America Services Market by Region
    • 10.1.2 North America Generative AI In Content Creation Market by Application
      • 10.1.2.1 North America Text Generation Market by Country
      • 10.1.2.2 North America Image Generation Market by Country
      • 10.1.2.3 North America Audio Generation Market by Country
      • 10.1.2.4 North America Video Generation Market by Country
      • 10.1.2.5 North America Other Application Market by Country
    • 10.1.3 North America Generative AI In Content Creation Market by Industry
      • 10.1.3.1 North America Entertainment & Media Market by Country
      • 10.1.3.2 North America Marketing & Advertising Market by Country
      • 10.1.3.3 North America E-commerce Market by Country
      • 10.1.3.4 North America Healthcare Market by Country
      • 10.1.3.5 North America Other Industry Market by Country
    • 10.1.4 North America Generative AI In Content Creation Market by Country
      • 10.1.4.1 US Generative AI In Content Creation Market
        • 10.1.4.1.1 US Generative AI In Content Creation Market by Component
        • 10.1.4.1.2 US Generative AI In Content Creation Market by Application
        • 10.1.4.1.3 US Generative AI In Content Creation Market by Industry
      • 10.1.4.2 Canada Generative AI In Content Creation Market
        • 10.1.4.2.1 Canada Generative AI In Content Creation Market by Component
        • 10.1.4.2.2 Canada Generative AI In Content Creation Market by Application
        • 10.1.4.2.3 Canada Generative AI In Content Creation Market by Industry
      • 10.1.4.3 Mexico Generative AI In Content Creation Market
        • 10.1.4.3.1 Mexico Generative AI In Content Creation Market by Component
        • 10.1.4.3.2 Mexico Generative AI In Content Creation Market by Application
        • 10.1.4.3.3 Mexico Generative AI In Content Creation Market by Industry
      • 10.1.4.4 Rest of North America Generative AI In Content Creation Market
        • 10.1.4.4.1 Rest of North America Generative AI In Content Creation Market by Component
        • 10.1.4.4.2 Rest of North America Generative AI In Content Creation Market by Application
        • 10.1.4.4.3 Rest of North America Generative AI In Content Creation Market by Industry
  • 10.2 Europe Generative AI In Content Creation Market
    • 10.2.1 Europe Generative AI In Content Creation Market by Component
      • 10.2.1.1 Europe Software Market by Country
      • 10.2.1.2 Europe Services Market by Country
    • 10.2.2 Europe Generative AI In Content Creation Market by Application
      • 10.2.2.1 Europe Text Generation Market by Country
      • 10.2.2.2 Europe Image Generation Market by Country
      • 10.2.2.3 Europe Audio Generation Market by Country
      • 10.2.2.4 Europe Video Generation Market by Country
      • 10.2.2.5 Europe Other Application Market by Country
    • 10.2.3 Europe Generative AI In Content Creation Market by Industry
      • 10.2.3.1 Europe Entertainment & Media Market by Country
      • 10.2.3.2 Europe Marketing & Advertising Market by Country
      • 10.2.3.3 Europe E-commerce Market by Country
      • 10.2.3.4 Europe Healthcare Market by Country
      • 10.2.3.5 Europe Other Industry Market by Country
    • 10.2.4 Europe Generative AI In Content Creation Market by Country
      • 10.2.4.1 Germany Generative AI In Content Creation Market
        • 10.2.4.1.1 Germany Generative AI In Content Creation Market by Component
        • 10.2.4.1.2 Germany Generative AI In Content Creation Market by Application
        • 10.2.4.1.3 Germany Generative AI In Content Creation Market by Industry
      • 10.2.4.2 UK Generative AI In Content Creation Market
        • 10.2.4.2.1 UK Generative AI In Content Creation Market by Component
        • 10.2.4.2.2 UK Generative AI In Content Creation Market by Application
        • 10.2.4.2.3 UK Generative AI In Content Creation Market by Industry
      • 10.2.4.3 France Generative AI In Content Creation Market
        • 10.2.4.3.1 France Generative AI In Content Creation Market by Component
        • 10.2.4.3.2 France Generative AI In Content Creation Market by Application
        • 10.2.4.3.3 France Generative AI In Content Creation Market by Industry
      • 10.2.4.4 Russia Generative AI In Content Creation Market
        • 10.2.4.4.1 Russia Generative AI In Content Creation Market by Component
        • 10.2.4.4.2 Russia Generative AI In Content Creation Market by Application
        • 10.2.4.4.3 Russia Generative AI In Content Creation Market by Industry
      • 10.2.4.5 Spain Generative AI In Content Creation Market
        • 10.2.4.5.1 Spain Generative AI In Content Creation Market by Component
        • 10.2.4.5.2 Spain Generative AI In Content Creation Market by Application
        • 10.2.4.5.3 Spain Generative AI In Content Creation Market by Industry
      • 10.2.4.6 Italy Generative AI In Content Creation Market
        • 10.2.4.6.1 Italy Generative AI In Content Creation Market by Component
        • 10.2.4.6.2 Italy Generative AI In Content Creation Market by Application
        • 10.2.4.6.3 Italy Generative AI In Content Creation Market by Industry
      • 10.2.4.7 Rest of Europe Generative AI In Content Creation Market
        • 10.2.4.7.1 Rest of Europe Generative AI In Content Creation Market by Component
        • 10.2.4.7.2 Rest of Europe Generative AI In Content Creation Market by Application
        • 10.2.4.7.3 Rest of Europe Generative AI In Content Creation Market by Industry
  • 10.3 Asia Pacific Generative AI In Content Creation Market
    • 10.3.1 Asia Pacific Generative AI In Content Creation Market by Component
      • 10.3.1.1 Asia Pacific Software Market by Country
      • 10.3.1.2 Asia Pacific Services Market by Country
    • 10.3.2 Asia Pacific Generative AI In Content Creation Market by Application
      • 10.3.2.1 Asia Pacific Text Generation Market by Country
      • 10.3.2.2 Asia Pacific Image Generation Market by Country
      • 10.3.2.3 Asia Pacific Audio Generation Market by Country
      • 10.3.2.4 Asia Pacific Video Generation Market by Country
      • 10.3.2.5 Asia Pacific Other Application Market by Country
    • 10.3.3 Asia Pacific Generative AI In Content Creation Market by Industry
      • 10.3.3.1 Asia Pacific Entertainment & Media Market by Country
      • 10.3.3.2 Asia Pacific Marketing & Advertising Market by Country
      • 10.3.3.3 Asia Pacific E-commerce Market by Country
      • 10.3.3.4 Asia Pacific Healthcare Market by Country
      • 10.3.3.5 Asia Pacific Other Industry Market by Country
    • 10.3.4 Asia Pacific Generative AI In Content Creation Market by Country
      • 10.3.4.1 China Generative AI In Content Creation Market
        • 10.3.4.1.1 China Generative AI In Content Creation Market by Component
        • 10.3.4.1.2 China Generative AI In Content Creation Market by Application
        • 10.3.4.1.3 China Generative AI In Content Creation Market by Industry
      • 10.3.4.2 Japan Generative AI In Content Creation Market
        • 10.3.4.2.1 Japan Generative AI In Content Creation Market by Component
        • 10.3.4.2.2 Japan Generative AI In Content Creation Market by Application
        • 10.3.4.2.3 Japan Generative AI In Content Creation Market by Industry
      • 10.3.4.3 India Generative AI In Content Creation Market
        • 10.3.4.3.1 India Generative AI In Content Creation Market by Component
        • 10.3.4.3.2 India Generative AI In Content Creation Market by Application
        • 10.3.4.3.3 India Generative AI In Content Creation Market by Industry
      • 10.3.4.4 South Korea Generative AI In Content Creation Market
        • 10.3.4.4.1 South Korea Generative AI In Content Creation Market by Component
        • 10.3.4.4.2 South Korea Generative AI In Content Creation Market by Application
        • 10.3.4.4.3 South Korea Generative AI In Content Creation Market by Industry
      • 10.3.4.5 Singapore Generative AI In Content Creation Market
        • 10.3.4.5.1 Singapore Generative AI In Content Creation Market by Component
        • 10.3.4.5.2 Singapore Generative AI In Content Creation Market by Application
        • 10.3.4.5.3 Singapore Generative AI In Content Creation Market by Industry
      • 10.3.4.6 Malaysia Generative AI In Content Creation Market
        • 10.3.4.6.1 Malaysia Generative AI In Content Creation Market by Component
        • 10.3.4.6.2 Malaysia Generative AI In Content Creation Market by Application
        • 10.3.4.6.3 Malaysia Generative AI In Content Creation Market by Industry
      • 10.3.4.7 Rest of Asia Pacific Generative AI In Content Creation Market
        • 10.3.4.7.1 Rest of Asia Pacific Generative AI In Content Creation Market by Component
        • 10.3.4.7.2 Rest of Asia Pacific Generative AI In Content Creation Market by Application
        • 10.3.4.7.3 Rest of Asia Pacific Generative AI In Content Creation Market by Industry
  • 10.4 LAMEA Generative AI In Content Creation Market
    • 10.4.1 LAMEA Generative AI In Content Creation Market by Component
      • 10.4.1.1 LAMEA Software Market by Country
      • 10.4.1.2 LAMEA Services Market by Country
    • 10.4.2 LAMEA Generative AI In Content Creation Market by Application
      • 10.4.2.1 LAMEA Text Generation Market by Country
      • 10.4.2.2 LAMEA Image Generation Market by Country
      • 10.4.2.3 LAMEA Audio Generation Market by Country
      • 10.4.2.4 LAMEA Video Generation Market by Country
      • 10.4.2.5 LAMEA Other Application Market by Country
    • 10.4.3 LAMEA Generative AI In Content Creation Market by Industry
      • 10.4.3.1 LAMEA Entertainment & Media Market by Country
      • 10.4.3.2 LAMEA Marketing & Advertising Market by Country
      • 10.4.3.3 LAMEA E-commerce Market by Country
      • 10.4.3.4 LAMEA Healthcare Market by Country
      • 10.4.3.5 LAMEA Other Industry Market by Country
    • 10.4.4 LAMEA Generative AI In Content Creation Market by Country
      • 10.4.4.1 Brazil Generative AI In Content Creation Market
        • 10.4.4.1.1 Brazil Generative AI In Content Creation Market by Component
        • 10.4.4.1.2 Brazil Generative AI In Content Creation Market by Application
        • 10.4.4.1.3 Brazil Generative AI In Content Creation Market by Industry
      • 10.4.4.2 Argentina Generative AI In Content Creation Market
        • 10.4.4.2.1 Argentina Generative AI In Content Creation Market by Component
        • 10.4.4.2.2 Argentina Generative AI In Content Creation Market by Application
        • 10.4.4.2.3 Argentina Generative AI In Content Creation Market by Industry
      • 10.4.4.3 UAE Generative AI In Content Creation Market
        • 10.4.4.3.1 UAE Generative AI In Content Creation Market by Component
        • 10.4.4.3.2 UAE Generative AI In Content Creation Market by Application
        • 10.4.4.3.3 UAE Generative AI In Content Creation Market by Industry
      • 10.4.4.4 Saudi Arabia Generative AI In Content Creation Market
        • 10.4.4.4.1 Saudi Arabia Generative AI In Content Creation Market by Component
        • 10.4.4.4.2 Saudi Arabia Generative AI In Content Creation Market by Application
        • 10.4.4.4.3 Saudi Arabia Generative AI In Content Creation Market by Industry
      • 10.4.4.5 South Africa Generative AI In Content Creation Market
        • 10.4.4.5.1 South Africa Generative AI In Content Creation Market by Component
        • 10.4.4.5.2 South Africa Generative AI In Content Creation Market by Application
        • 10.4.4.5.3 South Africa Generative AI In Content Creation Market by Industry
      • 10.4.4.6 Nigeria Generative AI In Content Creation Market
        • 10.4.4.6.1 Nigeria Generative AI In Content Creation Market by Component
        • 10.4.4.6.2 Nigeria Generative AI In Content Creation Market by Application
        • 10.4.4.6.3 Nigeria Generative AI In Content Creation Market by Industry
      • 10.4.4.7 Rest of LAMEA Generative AI In Content Creation Market
        • 10.4.4.7.1 Rest of LAMEA Generative AI In Content Creation Market by Component
        • 10.4.4.7.2 Rest of LAMEA Generative AI In Content Creation Market by Application
        • 10.4.4.7.3 Rest of LAMEA Generative AI In Content Creation Market by Industry

Chapter 11. Company Profiles

  • 11.1 Adobe, Inc.
    • 11.1.1 Company Overview
    • 11.1.2 Financial Analysis
    • 11.1.3 Segmental and Regional Analysis
    • 11.1.4 Research & Development Expense
    • 11.1.5 Recent strategies and developments:
      • 11.1.5.1 Partnerships, Collaborations, and Agreements:
      • 11.1.5.2 Product Launches and Product Expansions:
    • 11.1.6 SWOT Analysis
  • 11.2 Autodesk, Inc.
    • 11.2.1 Company Overview
    • 11.2.2 Financial Analysis
    • 11.2.3 Regional Analysis
    • 11.2.4 Research & Development Expenses
    • 11.2.5 Recent strategies and developments:
      • 11.2.5.1 Product Launches and Product Expansions:
      • 11.2.5.2 Acquisition and Mergers:
    • 11.2.6 SWOT Analysis
  • 11.3 Coherent Corp.
    • 11.3.1 Company Overview
    • 11.3.2 Financial Analysis
    • 11.3.3 Segmental and Regional Analysis
    • 11.3.4 Research & Development Expenses
    • 11.3.5 Recent strategies and developments:
      • 11.3.5.1 Partnerships, Collaborations, and Agreements:
    • 11.3.6 SWOT Analysis
  • 11.4 Google LLC (Alphabet Inc.)
    • 11.4.1 Company Overview
    • 11.4.2 Financial Analysis
    • 11.4.3 Segmental and Regional Analysis
    • 11.4.4 Research & Development Expenses
    • 11.4.5 Recent strategies and developments:
      • 11.4.5.1 Partnerships, Collaborations, and Agreements:
      • 11.4.5.2 Product Launches and Product Expansions:
    • 11.4.6 SWOT Analysis
  • 11.5 Jasper, Inc.
    • 11.5.1 Company Overview
    • 11.5.2 Recent strategies and developments:
      • 11.5.2.1 Partnerships, Collaborations, and Agreements:
      • 11.5.2.2 Product Launches and Product Expansions:
  • 11.6 Microsoft Corporation
    • 11.6.1 Company Overview
    • 11.6.2 Financial Analysis
    • 11.6.3 Segmental and Regional Analysis
    • 11.6.4 Research & Development Expenses
    • 11.6.5 Recent strategies and developments:
      • 11.6.5.1 Partnerships, Collaborations, and Agreements:
      • 11.6.5.2 Product Launches and Product Expansions:
    • 11.6.6 SWOT Analysis
  • 11.7 NVIDIA Corporation
    • 11.7.1 Company Overview
    • 11.7.2 Financial Analysis
    • 11.7.3 Segmental and Regional Analysis
    • 11.7.4 Research & Development Expenses
    • 11.7.5 Recent strategies and developments:
      • 11.7.5.1 Partnerships, Collaborations, and Agreements:
    • 11.7.6 SWOT Analysis
  • 11.8 OpenAI, LLC
    • 11.8.1 Company Overview
    • 11.8.2 Recent strategies and developments:
      • 11.8.2.1 Partnerships, Collaborations, and Agreements:
    • 11.8.3 SWOT Analysis
  • 11.9 Samsung Electronics Co., Ltd. (Samsung Group)
    • 11.9.1 Company Overview
    • 11.9.2 Financial Analysis
    • 11.9.3 Segmental and Regional Analysis
    • 11.9.4 Research & Development Expenses
    • 11.9.5 Recent strategies and developments:
      • 11.9.5.1 Partnerships, Collaborations, and Agreements:
    • 11.9.6 SWOT Analysis
  • 11.10. CopyAI, Inc.
    • 11.10.1 Company Overview

Chapter 12. Winning Imperatives of Generative AI In Content Creation Market

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