세계의 계산적 창의성 시장 : 컴포넌트별, 기술별, 기능별, 컨텐츠 유형별, 최종 사용자별 - 예측(2025-2030년)

The Computational Creativity Market was valued at USD 7.46 billion in 2023, expected to reach USD 7.87 billion in 2024, and is projected to grow at a CAGR of 5.59%, to USD 10.92 billion by 2030.

Computational Creativity, a subfield of artificial intelligence, focuses on creating software that can emulate human creativity. This involves developing systems that can produce art, music, stories, and other creative content autonomously. The necessity for Computational Creativity arises from its potential to augment human creativity, improve productivity, and open new possibilities in content creation. Its applications span multiple industries, including entertainment, advertising, education, and design, where it assists in generating innovative ideas and content at scale. The end-use scope extends to businesses aiming to enhance creative processes and individuals seeking novel tools for creative expression.

Key growth factors in the Computational Creativity market include advancements in machine learning algorithms, increasing demand for personalized content, and the integration of AI in creative processes. Companies are increasingly leveraging AI to streamline workflows, reduce costs, and offer more engaging experiences to consumers. One of the latest potential opportunities is the collaboration between AI and human creators, where AI acts as a co-creator rather than a replacement, enhancing human input with novel suggestions and variations. For businesses seeking to capitalize on these opportunities, investing in AI-driven creative tools and fostering collaborative environments between humans and machines is recommended.

However, the market faces limitations such as the current technological constraints of AI, ethical concerns regarding ownership and authorship of AI-generated content, and resistance from traditional creatives who fear AI encroachment. Furthermore, the challenge of ensuring diversity and originality in AI-generated content persists, often resulting in outputs that may lack depth or fail to resonate with human sensibilities.

Innovation opportunities lie in advancing AI's ability to understand and emulate complex human emotions and contexts, improving the adaptability and personalization of generated content. Companies focusing on cross-disciplinary research, combining insights from psychology, art, and computer science, stand to improve AI's creative capabilities significantly. As the market grows, the nature of Computational Creativity may transform traditional creative domains, offering collaborative and individualized experiences while expanding the boundaries of what machines and humans can create together.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Computational Creativity Market

The Computational Creativity Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Proliferation of startup companies focused on computational creativity solutions
  • Growing demand for personalized experiences in products and services driving the need for computational creativity
  • Increasing automation in creative industries to enhance productivity and efficiency
• Market Restraints
  • High costs associated with acquiring advanced AI and ML tools and maintenance
• Market Opportunities
  • Government initiatives and policies supporting innovation in computational creativity
  • Emerging collaborations for the development of enhanced human-AI collaboration tools
• Market Challenges
  • Concerns related to intellectual property and ownership

Porter's Five Forces: A Strategic Tool for Navigating the Computational Creativity Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Computational Creativity Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Computational Creativity Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Computational Creativity Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Computational Creativity Market

A detailed market share analysis in the Computational Creativity Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Computational Creativity Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Computational Creativity Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Computational Creativity Market

A strategic analysis of the Computational Creativity Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Computational Creativity Market, highlighting leading vendors and their innovative profiles. These include Adobe Inc., Aiva Technologies SARL, Amper Music Inc., Apple Inc., Autodesk, Inc., Canva Pty Ltd, Deep Art AI GmbH, Electronic Arts Inc., Google LLC, Luka, Inc., Nintendo Co., Ltd., OpenAI OpCo, LLC, Runway, ScriptBook, Sony Corporation, The Walt Disney Company, and Unity Software Inc..

Market Segmentation & Coverage

This research report categorizes the Computational Creativity Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Services and Software. The Services is further studied across Consulting Services, Integration Services, and Training and Support. The Software is further studied across Integrated Software and Standalone Software.
• Based on Technology, market is studied across Artificial Intelligence, Data Analytics, and Human-Computer Interaction. The Artificial Intelligence is further studied across Deep Learning, Machine Learning, and Natural Language Processing. The Data Analytics is further studied across Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics. The Human-Computer Interaction is further studied across Interactive Interfaces, User Experience Design, and Voice Assistants.
• Based on Functionality, market is studied across Automated Creation, Collaboration & Sharing, and Customization & Personalization. The Automated Creation is further studied across AI-Assisted Creation, Algorithmic Generation, and Template-Based Creation. The Collaboration & Sharing is further studied across Content Sharing Platforms, Crowdsourced Creativity, and Multi-User Collaboration. The Customization & Personalization is further studied across Adaptive Algorithms, Interactive Customization, and User Preferences.
• Based on Content Type, market is studied across Multimedia, Text, and Visual Art. The Multimedia is further studied across Animation, Interactive Media, and Video. The Text is further studied across Articles & Blogs, Poetry, and Scripts. The Visual Art is further studied across Digital Art, Graphic Design, and Photography.
• Based on End User, market is studied across Creative Professionals, Enterprises, Entertainment Industry, and Individual Creators. The Creative Professionals is further studied across Artists, Content Creators, and Designers. The Enterprises is further studied across Large Enterprises and Small and Medium Enterprises (SMEs). The Entertainment Industry is further studied across Film Studios, Game Studios, and Music Production Houses. The Individual Creators is further studied across Educators, Freelancers, and Hobbyists.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Proliferation of startup companies focused on computational creativity solutions
    • 5.1.1.2. Growing demand for personalized experiences in products and services driving the need for computational creativity
    • 5.1.1.3. Increasing automation in creative industries to enhance productivity and efficiency
  • 5.1.2. Restraints
    • 5.1.2.1. High costs associated with acquiring advanced AI and ML tools and maintenance
  • 5.1.3. Opportunities
    • 5.1.3.1. Government initiatives and policies supporting innovation in computational creativity
    • 5.1.3.2. Emerging collaborations for the development of enhanced human-AI collaboration tools
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns related to intellectual property and ownership
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Computational Creativity Market, by Component

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Consulting Services
  • 6.2.2. Integration Services
  • 6.2.3. Training and Support
• 6.3. Software
  • 6.3.1. Integrated Software
  • 6.3.2. Standalone Software

7. Computational Creativity Market, by Technology

• 7.1. Introduction
• 7.2. Artificial Intelligence
  • 7.2.1. Deep Learning
  • 7.2.2. Machine Learning
  • 7.2.3. Natural Language Processing
• 7.3. Data Analytics
  • 7.3.1. Descriptive Analytics
  • 7.3.2. Predictive Analytics
  • 7.3.3. Prescriptive Analytics
• 7.4. Human-Computer Interaction
  • 7.4.1. Interactive Interfaces
  • 7.4.2. User Experience Design
  • 7.4.3. Voice Assistants

8. Computational Creativity Market, by Functionality

• 8.1. Introduction
• 8.2. Automated Creation
  • 8.2.1. AI-Assisted Creation
  • 8.2.2. Algorithmic Generation
  • 8.2.3. Template-Based Creation
• 8.3. Collaboration & Sharing
  • 8.3.1. Content Sharing Platforms
  • 8.3.2. Crowdsourced Creativity
  • 8.3.3. Multi-User Collaboration
• 8.4. Customization & Personalization
  • 8.4.1. Adaptive Algorithms
  • 8.4.2. Interactive Customization
  • 8.4.3. User Preferences

9. Computational Creativity Market, by Content Type

• 9.1. Introduction
• 9.2. Multimedia
  • 9.2.1. Animation
  • 9.2.2. Interactive Media
  • 9.2.3. Video
• 9.3. Text
  • 9.3.1. Articles & Blogs
  • 9.3.2. Poetry
  • 9.3.3. Scripts
• 9.4. Visual Art
  • 9.4.1. Digital Art
  • 9.4.2. Graphic Design
  • 9.4.3. Photography

10. Computational Creativity Market, by End User

• 10.1. Introduction
• 10.2. Creative Professionals
  • 10.2.1. Artists
  • 10.2.2. Content Creators
  • 10.2.3. Designers
• 10.3. Enterprises
  • 10.3.1. Large Enterprises
  • 10.3.2. Small and Medium Enterprises (SMEs)
• 10.4. Entertainment Industry
  • 10.4.1. Film Studios
  • 10.4.2. Game Studios
  • 10.4.3. Music Production Houses
• 10.5. Individual Creators
  • 10.5.1. Educators
  • 10.5.2. Freelancers
  • 10.5.3. Hobbyists

11. Americas Computational Creativity Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Computational Creativity Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Computational Creativity Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Adobe Inc.
• 2. Aiva Technologies SARL
• 3. Amper Music Inc.
• 4. Apple Inc.
• 5. Autodesk, Inc.
• 6. Canva Pty Ltd
• 7. Deep Art AI GmbH
• 8. Electronic Arts Inc.
• 9. Google LLC
• 10. Luka, Inc.
• 11. Nintendo Co., Ltd.
• 12. OpenAI OpCo, LLC
• 13. Runway
• 14. ScriptBook
• 15. Sony Corporation
• 16. The Walt Disney Company
• 17. Unity Software Inc.