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市场调查报告书
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1604518

设计中的人工智慧市场：未来预测（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个工作天内

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简介目录

设计中的人工智慧市场预计将以 36.57% 的复合年增长率成长，从 2024 年的 898,546,000 美元增至 2029 年的 4,268,869,000 美元。

设计中的人工智慧是一种软体技术，它为媒体和通讯、製造和建筑等行业的多种类型计划的设计和支出提供电脑智慧协助并结合人工输入。 AI（人工智慧）正被纳入计划的设计阶段，包括图形设计、产品设计、架构和使用者体验（UX）设计。设计市场广泛采用机器学习等基于人工智慧的技术和应用，以帮助提高设计过程中的创造力、效率和生产力。该市场的关键方面包括人工智慧驱动的设计工具、衍生设计解决方案、图像和影片编辑软体以及模拟和视觉化软体。这些公司提供的工具和平台使用机器学习、电脑视觉和自然语言处理等人工智慧技术来自动化设计过程、产生新想法并支援设计师的工作流程。

在设计领域，基于个人文字和图像输入创建设计的生成式人工智慧工具在多个行业中普遍使用。衍生设计软体使用演算法根据人类提供的指定参数创建或产生多个设计方案。这使得设计师能够探索创新和独特的解决方案，以进一步优化他们的设计。

市场上有各种类型的人工智慧工具，包括图像和影片编辑工具以及模拟和视觉化工具。我们的人工智慧影像和影片编辑平台使用先进的演算法和机器学习来自动化多种类型的设计流程，包括影像增强、物件去除、色彩校正、影片稳定等，以帮助设计人员更快地製作出具有视觉吸引力的材料。人工智慧驱动的模拟和视觉化工具使设计人员能够对物理环境进行虚拟建模并分析设计性能，以便相应地优化其设计。

设计市场人工智慧的驱动因素

  • 增加创造力和创新将提振市场

推动设计市场中人工智慧的关键因素是人工智慧技术的市场开拓以及此类工具提供的最佳性能。人工智慧程式使用多种演算法和机器学习工具来产生新鲜独特的设计理念，为计划引入创新的解决方案，并探索人类智慧不足的新设计程式和方法。此类功能的可用性将鼓励该领域的广泛创新。

各家公司和研究机构正在实施和整合各种工具和演算法，以进一步增强人工智慧设计平台的能力。例如，全球技术领导者NVIDIA就开发了设计平台Canvas。透过使用基于人工智慧的工具将手写内容转换为逼真的风景画，我们可以实现快速的背景创建和概念开发。该平台提供九种设计风格，并允许使用者为每个元素在不同的图层上绘製。

设计市场的地理模式

  • 预计北美将占据设计市场的主要份额。

预计北美地区的人工智慧设计全球市场占有率将增加。北美国家尤其是美国是技术创新的领先国家。该地区拥有多家顶级人工智慧和设计公司，包括 Autodesk、Adobe、Google、Nvidia 和 OpenAI，这些公司正在推动人工智慧驱动的设计解决方案的开发。北美公司，特别是科技、汽车、航太和娱乐产业的公司，已迅速采用人工智慧驱动的设计解决方案。早期采用有助于该地区保持市场领先地位。北美市场规模庞大且多元化，涵盖了可以从设计中的人工智慧中受益的众多行业，包括建筑、工程、图形设计、游戏和娱乐。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 收益成长和预测部分以及包括国家在内的区域分析
  • 公司概况（尤其是关键发展）

设计市场中的人工智慧分为以下几个部分：

按最终用户

  • 小组织
  • 中等组织
  • 大型组织

按发展

  • 云
  • 本地

按用途

  • 汽车设计
  • 室内设计
  • 建筑学
  • 产品设计
  • 平面设计
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 印尼
  • 台湾
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章设计市场：依最终用户划分

  • 介绍
  • 小组织
  • 中等组织
  • 大型组织

第六章设计市场：依发展划分

  • 介绍
  • 云
  • 本地

第七章设计市场：依应用分类

  • 介绍
  • 汽车设计
  • 室内设计
  • 建筑学
  • 产品设计
  • 平面设计
  • 其他的

第八章设计市场：按地区

  • 介绍
  • 北美洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按最终用户
    • 按发展
    • 按用途
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Autodesk
  • Adobe
  • Google
  • Nvidia
  • OpenAI
  • Galileo.ai
  • Coohom
  • Canva
  • Siemens
  • Monolith
  • Cieden
  • Uizard Technologies
  • Visily
简介目录
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