计算创意市场：现况分析与预测（2023-2030）

2022 年计算创意市场的市场规模为 5.1 亿美元，由于各行业越来越多地采用人工智慧技术，预计预测期（2023-2030 年）预计将稳定增长。 此外，多个行业（尤其是高科技和媒体）对创新的需求不断增长，正在推动对计算创造力研究计划的投资，这些研究计划探索解决问题的新方法。 此外，大型资料集的可用性加上运算能力的增强意味着机器可以比以往更快地学习资料集中的模式和关係，这曾经被认为是不可能的突破变得更加容易。

根据组件，市场分为解决方案和服务。 其中，由于媒体和娱乐、广告和教育等各行业对创意流程自动化的需求不断增加，解决方案领域预计将引领市场。 然而，提供与计算创造力相关的咨询和培训服务的服务业预计也将为市场成长做出重大贡献。

依技术分为NLP、ML&DL、电脑视觉。 其中，机器学习和深度学习领域占最大的市场占有率，并将在预测期内保持主导地位，这主要是由于深度学习技术在图像识别、自然语言处理和预测分析等各种应用中的采用越来越多。

依应用，市场分为行销与网页设计、产品设计、构图等。 其中，由于对个人化广告活动和内容创建流程自动化的需求不断增长，行销和网页设计领域正在引领市场。 在数位行销策略中使用人工智慧产生的创意内容越来越受到那些希望从竞争对手中脱颖而出并提高线上形象的公司的欢迎。

为了加深我们对计算创造力市场引入的瞭解，我们根据其在印度、亚太其他地区和世界其他地区的全球影响力开发了市场分析。 北美目前引领运算创意市场。 美国、加拿大和墨西哥由于较早采用尖端技术、丰富的融资机会以及主要行业参与者的强大影响力，占了全球一半以上的市场占有率，为该领域的创新发展做出了贡献。 此外，鼓励研发活动的政府优惠政策进一步增强了投资者的信心，并促使风险资本涌入在这里运营的新兴新创公司。 此外，IBM Watson、Microsoft Azure Machine Learning Studio 和 Google Cloud Platform 等知名品牌提供可靠的解决方案，不仅可以帮助本地企业，还可以为推动全球国际标准做出重大贡献。

目录

第一章市场介绍

• 市场定义
• 主要目标
• 利害关係人
• 限制

第二章研究方法或前提

• 调查过程
• 调查方法
• 受访者简介

第三章市场总结

第 4 章执行摘要

第五章计算创意市场收入，2020-2030

第 6 章市场洞察：依组成部分

• 解决方案
• 服务

第 7 章市场洞察：依技术

• 自然语言处理
• 机器学习与深度学习
• 电脑视觉

第 8 章市场洞察：依应用划分

• 行销与网页设计
• 产品设计
• 成分
• 其他

第 9 章市场洞察：依地区

• 北美
  • 美国
  • 加拿大
  • 其他北美地区
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 世界其他地区

第 10 章计算创意市场动态

• 市场驱动因素
• 市场课题
• 影响分析

第 11 章计算创意市场机会

第十二章计算创意市场趋势

第十三章需求方与供给方分析

• 需求方分析
• 供给面分析

第14章价值链分析

第十五章价格分析

第 16 章策略洞察

第十七章竞争场景

• 竞争状况
  • 波特五力分析

第十八章公司简介

• Google LLC
• Microsoft Corporation
• International Business Machines（IBM）Corporation
• Amazon Web Services（AWS）
• Meta AI
• NVIDIA Corporation
• Adobe Inc.
• Intel Corporation
• Baidu, Inc.
• Samsung Electronics Co., Ltd.

第十九章免责声明

Computational Creativity (CC) utilizes machines capable of creating original content through complex processes like deep learning neural networks or genetic algorithms. These systems analyze vast amounts of data from diverse sources before generating new solutions tailored towards achieving specific objectives within fields like game development, architecture, fashion, etc. The goal is not only to replicate human ingenuity but also augment it by exploring unconventional combinations of existing knowledge and fostering hybridized forms of creativity never seen before.

The Computational Creativity Market was valued at 0.51 billion in 2022 and is expected to grow at a steady rate of around 19.12% in the forecasted period (2023-2030) owing to the increasing adoption of AI technologies in various industries. Moreover, the increasing demand for innovation across multiple sectors, particularly tech and media, has fueled investment into computational creativity research initiatives seeking novel approaches to problem-solving. Additionally, the availability of large datasets alongside improved computing power means machines can now learn patterns and relationships within these datasets faster than ever before facilitating breakthroughs previously thought impossible.

Based on component, the market is bifurcated into solutions and services. Among these, the solution segment is anticipated to lead the market due to the growing demand for automation of creative processes in various industries like media & entertainment, advertising, and education. However, the service segment, which provides consulting and training services related to computational creativity, is also expected to contribute significantly to the growth of the market.

Based on the technology, the market is bifurcated into NLP, ML & DL, and computer vision. Among these, the ML & DL segment holds the largest market share and is expected to continue its dominance throughout the forecast period mainly due to the increasing adoption of deep learning techniques in various applications such as image recognition, natural language processing, and predictive analytics.

Based on the application, the market is segmented into marketing & web designing, product designing, music composition, and others. Among these, the Marketing & Web Designing segment leads the market due to the growing need for personalized advertising campaigns and automation of content creation processes. The use of AI-generated creative content in digital marketing strategies has become increasingly popular among businesses looking to differentiate themselves from competitors and improve their online presence.

For a better understanding of the market adoption of computational creativity, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. North America is currently leading the computational creativity market. The US, Canada, and Mexico together account for more than half of the global market share due to early adoption of cutting-edge technologies, ample funding opportunities, and a strong presence of major industry players contributing to innovative developments within this space. Furthermore, favorable government policies encouraging R&D activities further boosted investor confidence resulting in an influx of venture capital for emerging startups operating here. Additionally, established brands such as IBM Watson, Microsoft Azure Machine Learning Studio, Google Cloud Platform etc., provide reliable solutions that cater not only to local businesses but also contribute significantly towards driving international standards worldwide.

Some of the major players operating in the market include Google LLC; Microsoft Corporation; International Business Machines (IBM) Corporation; Amazon Web Services (AWS); Meta AI; NVIDIA Corporation; Adobe Inc.; Intel Corporation; Baidu, Inc.; Samsung Electronics Co., Ltd.

TABLE OF CONTENTS

1. MARKET INTRODUCTION

• 1.1.Market Definitions
• 1.2.Main Objective
• 1.3.Stakeholders
• 1.4.Limitation

2. RESEARCH METHODOLOGY OR ASSUMPTIONS

• 2.1.Research Process of the Computational Creativity Market
• 2.2.Research Methodology of the Computational Creativity Market
• 2.3.Respondent Profile

3. MARKET SYNOPSIS

4. EXECUTIVE SUMMARY

5. COMPUTATIONAL CREATIVITY MARKET REVENUE (USD BN), 2020-2030F

6. MARKET INSIGHTS BY COMPONENT

• 6.1.Solutions
• 6.2.Services

7. MARKET INSIGHTS BY TECHNOLOGY

• 7.1.NLP
• 7.2.ML & DL
• 7.3.Computer Vision

8. MARKET INSIGHTS BY APPLICATION

• 8.1.Marketing & Web Designing
• 8.2.Product Designing
• 8.3.Music Composition
• 8.4.Others

9. MARKET INSIGHTS BY REGION

• 9.1.North America
  • 9.1.1. U.S.
  • 9.1.2. Canada
  • 9.1.3. Rest of North America
• 9.2.Europe
  • 9.2.1. Germany
  • 9.2.2. U.K.
  • 9.2.3. France
  • 9.2.4. Italy
  • 9.2.5. Spain
  • 9.2.6.Rest of Europe
• 9.3.Asia-Pacific
  • 9.3.1. China
  • 9.3.2. Japan
  • 9.3.3. India
  • 9.3.4. Rest of Asia-Pacific
• 9.4.Rest of the World

10. COMPUTATIONAL CREATIVITY MARKET DYNAMICS

• 10.1.Market Drivers
• 10.2.Market Challenges
• 10.3.Impact Analysis

11. COMPUTATIONAL CREATIVITY MARKET OPPORTUNITIES

12. COMPUTATIONAL CREATIVITY MARKET TRENDS

13. DEMAND AND SUPPLY-SIDE ANALYSIS

• 13.1.Demand Side Analysis
• 13.2.Supply Side Analysis

14. VALUE CHAIN ANALYSIS

15. PRICING ANALYSIS

16. STRATEGIC INSIGHTS

17. COMPETITIVE SCENARIO

• 17.1.Competitive Landscape
  • 17.1.1.Porters Fiver Forces Analysis

18. COMPANY PROFILED

• 18.1.Google LLC
• 18.2.Microsoft Corporation
• 18.3.International Business Machines (IBM) Corporation
• 18.4.Amazon Web Services (AWS)
• 18.5.Meta AI
• 18.6.NVIDIA Corporation
• 18.7.Adobe Inc.
• 18.8.Intel Corporation
• 18.9.Baidu, Inc.
• 18.10.Samsung Electronics Co., Ltd.

19. DISCLAIMER