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市場調查報告書
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1604518

設計中的人工智慧市場：未來預測（2024-2029）

AI in the Design Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 142 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

設計中的人工智慧市場預計將以 36.57% 的複合年成長率成長，從 2024 年的 898,546,000 美元增至 2029 年的 4,268,869,000 美元。

設計中的人工智慧是一種軟體技術，它為媒體和通訊、製造和建築等行業的多種類型計劃的設計和支出提供電腦智慧協助並結合人工輸入。 AI（人工智慧）正被納入計劃的設計階段，包括圖形設計、產品設計、架構和使用者體驗（UX）設計。設計市場廣泛採用機器學習等基於人工智慧的技術和應用，以幫助提高設計過程中的創造力、效率和生產力。該市場的關鍵方面包括人工智慧驅動的設計工具、衍生設計解決方案、圖像和影片編輯軟體以及模擬和視覺化軟體。這些公司提供的工具和平台使用機器學習、電腦視覺和自然語言處理等人工智慧技術來自動化設計過程、產生新想法並支援設計師的工作流程。

在設計領域，基於個人文字和圖像輸入創建設計的生成式人工智慧工具在多個行業中普遍使用。衍生設計軟體使用演算法根據人類提供的指定參數創建或產生多個設計方案。這使得設計師能夠探索創新和獨特的解決方案，以進一步最佳化他們的設計。

市場上有各種類型的人工智慧工具，包括圖像和影片編輯工具以及模擬和視覺化工具。我們的人工智慧影像和影片編輯平台使用先進的演算法和機器學習來自動化多種類型的設計流程，包括影像增強、物件去除、色彩校正、影片穩定等，以幫助設計人員更快地製作出具有視覺吸引力的材料。人工智慧驅動的模擬和視覺化工具使設計人員能夠對物理環境進行虛擬建模並分析設計性能，以便相應地最佳化其設計。

設計市場人工智慧的促進因素

  • 增加創造力和創新將提振市場

推動設計市場中人工智慧的關鍵因素是人工智慧技術的市場開拓以及此類工具提供的最佳性能。人工智慧程式使用多種演算法和機器學習工具來產生新鮮獨特的設計理念，為計劃引入創新的解決方案，並探索人類智慧不足的新設計程式和方法。此類功能的可用性將鼓勵該領域的廣泛創新。

各家公司和研究機構正在實施和整合各種工具和演算法，以進一步增強人工智慧設計平台的能力。例如，全球技術領導者NVIDIA就開發了設計平台Canvas。透過使用基於人工智慧的工具將手寫內容轉換為逼真的風景畫，我們可以實現快速的背景創建和概念開發。該平台提供九種設計風格，並允許使用者為每個元素在不同的圖層上繪製。

設計市場的地理模式

  • 預計北美將佔據設計市場的主要佔有率。

預計北美地區的人工智慧設計全球市場佔有率將增加。北美國家尤其是美國是技術創新的領先國家。該地區擁有多家頂級人工智慧和設計公司，包括 Autodesk、Adobe、Google、Nvidia 和 OpenAI，這些公司正在推動人工智慧驅動的設計解決方案的開發。北美公司，特別是科技、汽車、航太和娛樂產業的公司，已迅速採用人工智慧驅動的設計解決方案。早期採用有助於該地區保持市場領先地位。北美市場規模龐大且多元化，涵蓋了可以從設計中的人工智慧中受益的眾多行業，包括建築、工程、圖形設計、遊戲和娛樂。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 收益成長和預測部分以及包括國家在內的區域分析
  • 公司概況（尤其是關鍵發展）

設計市場中的人工智慧分為以下幾個部分：

按最終用戶

  • 小組織
  • 中等組織
  • 大型組織

按發展

  • 雲
  • 本地

按用途

  • 汽車設計
  • 室內設計
  • 建築學
  • 產品設計
  • 平面設計
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 德國
  • 法國
  • 英國
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 印尼
  • 台灣
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章設計市場：依最終用戶分類

  • 介紹
  • 小組織
  • 中等組織
  • 大型組織

第6章設計市場：依發展分類

  • 介紹
  • 雲
  • 本地

第7章設計市場：依應用分類

  • 介紹
  • 汽車設計
  • 室內設計
  • 建築學
  • 產品設計
  • 平面設計
  • 其他

第8章設計市場：按地區

  • 介紹
  • 北美洲
    • 按最終用戶
    • 按發展
    • 按用途
    • 按國家/地區
  • 南美洲
    • 按最終用戶
    • 按發展
    • 按用途
    • 按國家/地區
  • 歐洲
    • 按最終用戶
    • 按發展
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 按最終用戶
    • 按發展
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 按最終用戶
    • 按發展
    • 按用途
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • Autodesk
  • Adobe
  • Google
  • Nvidia
  • OpenAI
  • Galileo.ai
  • Coohom
  • Canva
  • Siemens
  • Monolith
  • Cieden
  • Uizard Technologies
  • Visily
簡介目錄
Product Code: KSI061616762

The AI in the design market is forecasted to witness a growth of CAGR of 36.57%, to reach US$4,268.869 million by 2029, from US$898.546 million in 2024.

AI in design is a software technology that offers the assistance of computer intelligence with the combination of human input into the designing and outlaying of multiple types of projects for industries like media & communication, manufacturing, architecture, and others. Artificial intelligence is integrated into the design stages of projects, such as graphic design, product design, architecture, and user experience (UX) design. The AI in the design market incorporates a wide range of AI-based technologies and applications like machine learning, which help enhance creativity, efficiency, and productivity in the designing process. Some key aspects of this market are AI-powered design tools, generative design solutions, image and video editing software, and simulation and visualization software. Companies provide tools and platforms that use artificial intelligence techniques, including machine learning, computer vision, and natural language processing, to automate design processes, produce new ideas, and help designers with their workflow.

In the designing sector, generative AI tool is commonly used across multiple industries to create designs based on individuals' text or image inputs. Generative design software uses algorithms to create or generate multiple design alternatives based on specified parameters provided by humans; it allows designers to explore innovative and unique solutions to further optimize their designs.

Various types of AI tools are available across the market, like picture & video editing tools and simulation & visualization tools. The AI-powered picture and video editing platform utilizes advanced algorithms and machine learning to automate various types of designing processes like image enhancement, object removal, color correction, and video stabilization, allowing designers to generate visually attractive material more rapidly. The AI-powered simulation and visualization tools allow the designers to virtually model the physical environment and analyze design performance, allowing them to optimize designs suitably.

AI in the design market drivers

  • Enhanced creativity and innovation are boosting the market

A major factor boosting the global AI in the design market is the development of AI technologies and the optimum performance offered by such tools. AI programs use multiple algorithms and machine learning tools, which help them produce fresh and unique design concepts, introduce innovative solutions to projects, and investigate new design procedures or methods that human intelligence may lack. The availability of such capabilities encourages widespread innovation in the sector.

Various companies and research organizations introduced and integrated various tools and algorithms, further boosting the capabilities of the AI design platform. For instance, NVIDIA, a global technological leader, developed its design platform, Canvas. It employs AI-based tools to convert brushstrokes into realistic landscape pictures, enabling speedy background creation and concept development. This platform offers nine design styles, allowing the users to paint on distinct layers for each element.

AI in the design market geographical outlooks

  • North America is forecasted to hold a major share of the AI in the design market.

The North American region is forecasted to witness a greater global AI design market share. The North American countries, especially the USA, are among the leading nations in technical innovation. This region is home to several top AI and design organizations, including Autodesk, Adobe, Google, Nvidia, and OpenAI, who are pushing developments in AI-powered design solutions. Companies in North America, particularly in the technology, automotive, aerospace, and entertainment industries, have been early adopters of AI-powered design solutions. Early adoption has helped the area maintain its market leadership. The North American market is large and diverse, encompassing a wide range of industries that benefit from AI in design, including architecture, engineering, graphic design, gaming, and entertainment.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI in the design market is analyzed into the following segments:

By End-Users

  • Small-Sized Organization
  • Medium-Sized Organization
  • Large-Sized Organization

By Deployment

  • Cloud
  • On-Premise

By Application

  • Automotive Design
  • Interior Design
  • Architecture
  • Product Design
  • Graphic Design
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • UK
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. The Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN THE DESIGN MARKET BY END-USERS

  • 5.1. Introduction
  • 5.2. Small-sized Organization
  • 5.3. Medium-sized Organization
  • 5.4. Large-sized Organization

6. AI IN THE DESIGN MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-Premise

7. AI IN THE DESIGN MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Automotive Design
  • 7.3. Interior Design
  • 7.4. Architecture
  • 7.5. Product Design
  • 7.6. Graphic Design
  • 7.7. Others

8. AI IN THE DESIGN MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.1. North America
    • 8.1.1. By End-Users
    • 8.1.2. By Deployment
    • 8.1.3. By Application
    • 8.1.4. By Country
      • 8.1.4.1. United States
      • 8.1.4.2. Canada
      • 8.1.4.3. Others
  • 8.2. South America
    • 8.2.1. By End-Users
    • 8.2.2. By Deployment
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. Brazil
      • 8.2.4.2. Argentina
      • 8.2.4.3. Others
  • 8.3. Europe
    • 8.3.1. By End-Users
    • 8.3.2. By Deployment
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Germany
      • 8.3.4.2. France
      • 8.3.4.3. United Kingdom
      • 8.3.4.4. Spain
      • 8.3.4.5. Others
  • 8.4. Middle East and Africa
    • 8.4.1. By End-Users
    • 8.4.2. By Deployment
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. Saudi Arabia
      • 8.4.4.2. UAE
      • 8.4.4.3. Israel
      • 8.4.4.4. Others
  • 8.5. Asia Pacific
    • 8.5.1. By End-Users
    • 8.5.2. By Deployment
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. China
      • 8.5.4.2. Japan
      • 8.5.4.3. India
      • 8.5.4.4. South Korea
      • 8.5.4.5. Indonesia
      • 8.5.4.6. Taiwan
      • 8.5.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Autodesk
  • 10.2. Adobe
  • 10.3. Google
  • 10.4. Nvidia
  • 10.5. OpenAI
  • 10.6. Galileo.ai
  • 10.7. Coohom
  • 10.8. Canva
  • 10.9. Siemens
  • 10.10. Monolith
  • 10.11. Cieden
  • 10.12. Uizard Technologies
  • 10.13. Visily