計算創意市場：現況分析與預測（2023-2030）

2022 年計算創意市場的市場規模為 5.1 億美元，由於各行業越來越多地採用人工智慧技術，預計預測期（2023-2030 年）預計將穩定增長。 此外，多個行業（尤其是高科技和媒體）對創新的需求不斷增長，正在推動對計算創造力研究計劃的投資，這些研究計劃探索解決問題的新方法。 此外，大型資料集的可用性加上運算能力的增強意味著機器可以比以往更快地學習資料集中的模式和關係，這曾經被認為是不可能的突破變得更加容易。

根據組件，市場分為解決方案和服務。 其中，由於媒體和娛樂、廣告和教育等各行業對創意流程自動化的需求不斷增加，解決方案領域預計將引領市場。 然而，提供與計算創造力相關的諮詢和培訓服務的服務業預計也將為市場成長做出重大貢獻。

依技術分為NLP、ML&DL、電腦視覺。 其中，機器學習和深度學習領域佔最大的市場佔有率，並將在預測期內保持主導地位，這主要是由於深度學習技術在圖像識別、自然語言處理和預測分析等各種應用中的採用越來越多。

依應用，市場分為行銷與網頁設計、產品設計、構圖等。 其中，由於對個人化廣告活動和內容創建流程自動化的需求不斷增長，行銷和網頁設計領域正在引領市場。 在數位行銷策略中使用人工智慧產生的創意內容越來越受到那些希望從競爭對手中脫穎而出並提高線上形象的公司的歡迎。

為了加深我們對計算創造力市場引入的瞭解，我們根據其在印度、亞太其他地區和世界其他地區的全球影響力開發了市場分析。 北美目前引領運算創意市場。 美國、加拿大和墨西哥由於較早採用尖端技術、豐富的融資機會以及主要行業參與者的強大影響力，佔了全球一半以上的市場佔有率，為該領域的創新發展做出了貢獻。 此外，鼓勵研發活動的政府優惠政策進一步增強了投資者的信心，並促使風險資本湧入在這裡運營的新興新創公司。 此外，IBM Watson、Microsoft Azure Machine Learning Studio 和 Google Cloud Platform 等知名品牌提供可靠的解決方案，不僅可以幫助本地企業，還可以為推動全球國際標準做出重大貢獻。

目錄

第一章市場介紹

• 市場定義
• 主要目標
• 利害關係人
• 限制

第二章研究方法或前提

• 調查過程
• 調查方法
• 受訪者簡介

第三章市場總結

第 4 章執行摘要

第五章計算創意市場收入，2020-2030

第 6 章市場洞察：依組成部分

• 解決方案
• 服務

第 7 章市場洞察：依技術

• 自然語言處理
• 機器學習與深度學習
• 電腦視覺

第 8 章市場洞察：依應用劃分

• 行銷與網頁設計
• 產品設計
• 成分
• 其他

第 9 章市場洞察：依地區

• 北美
  • 美國
  • 加拿大
  • 其他北美地區
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 其他亞太地區
• 世界其他地區

第 10 章計算創意市場動態

• 市場驅動因素
• 市場課題
• 影響分析

第 11 章計算創意市場機會

第十二章計算創意市場趨勢

第十三章需求方與供給方分析

• 需求方分析
• 供給面分析

第14章價值鏈分析

第十五章價格分析

第 16 章策略洞察

第十七章競爭場景

• 競爭狀況
  • 波特五力分析

第十八章公司簡介

• 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.

第十九章免責聲明

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