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1680218

AI 3D 模型產生器市場報告：2031 年趨勢、預測與競爭分析

AI 3D Model Generator Market Report: Trends, Forecast and Competitive Analysis to 2031
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

全球 AI 3D 模型生成器市場前景光明，在遊戲開發、建築和室內設計、VR 和 AR 以及機器人模擬市場中都存在機會。預計 2025 年至 2031 年間，全球 AI 3D 模型產生器市場將以 23.5% 的複合年成長率成長。該市場的主要驅動力是對逼真虛擬環境日益成長的需求、遊戲、建築和虛擬實境領域日益成長的需求，以及對更快、更準確的 3D 模型生成的日益關注。

  • 根據 Lucintel 的預測，基於類型，文本到 3D 部分預計將在預測期內見證最高成長。
  • 從應用角度來看，遊戲開發預計將實現最大的成長。
  • 根據地區來看，預計亞太地區將在預測期內實現最高成長。

AI 3D模型生成器市場的策略性成長機會

AI 3D 模型產生器市場在關鍵應用中呈現多個策略成長機會。利用人工智慧和 3D 建模技術的進步，這些機會為各個領域的創新和擴展提供了潛力。

  • VR和AR應用：AI 3D模型產生器為VR和AR應用提供了成長機會。增強的建模功能可以創造更具沉浸感和互動性的虛擬環境，從而推動遊戲、培訓和模擬行業的需求。
  • 汽車和航太設計：汽車和航太行業為 AI 3D 模型生成器提供了巨大的成長機會。先進的建模工具支援設計和原型製作，提高開發複雜組件和系統的效率和準確性。
  • 電子商務和零售：AI 3D 模型生成器在電子商務和零售領域具有成長潛力。自動化 3D 建模增強了產品視覺化和客製化，改善了網路購物體驗並提高了轉換率。
  • 醫療保健和醫學影像：在醫療保健領域，AI 3D 模型產生器在醫學影像和診斷方面存在機會。詳細的 3D 模型可以改善手術計劃、醫療培訓和病患教育，有助於獲得更好的醫療效果。
  • 教育和培訓：AI 3D 模型產生器可以透過創建互動式和引人入勝的學習資源來改變教育和培訓。應用程式包括虛擬實驗室、互動式模擬和教育遊戲，以增強各種學科的學習體驗。

摘要，這些策略性成長機會表明，AI 3D 模型生成器有潛力推動 VR/AR、汽車設計、電子商務、醫​​療保健和教育等不同應用領域的創新和擴展。

AI 3D 模型生成器市場促進因素與挑戰

AI 3D 模型產生器市場受到影響其成長和發展的各種促進因素​​和挑戰的影響。這些因素包括技術進步、經濟考量和監管問題。

推動AI 3D模型生成器市場的因素有：

人工智慧和 3D 建模技術的進步：人工智慧和 3D 建模技術的快速進步是關鍵促進因素。演算法和運算能力的創新正在增強AI 3D模型生成器的功能和應用，擴大其在各個行業的應用。

對逼真和互動式內容的需求不斷增加：對逼真和互動式內容的需求不斷增加正在推動 AI 3D 模型生成器的採用。高品質的視覺化和沈浸式體驗已成為娛樂、教育和設計領域的必需品。

VR 和 AR 的擴展：VR 和 AR 技術的成長是一個關鍵促進因素。 AI 3D 模型產生器對於創建詳細且互動的虛擬環境至關重要，可以推動遊戲、訓練和模擬的發展。

成本和資源效率：AI 3D 模型產生器因其自動化和簡化建模過程的能力而越來越受到採用。對於尋求減少生產時間和成本的產業來說，成本和資源效率是關鍵因素。

AI 3D模型產生器市場面臨的挑戰是：

資料隱私和安全問題：資料隱私和安全問題非常重要。確保 AI 3D 模型產生器負責任地處理敏感資料並遵守法規對於維護信任和合規性至關重要。

開發和實施成本高：開發和實施 AI 3D 模型產生器的高成本是一項挑戰。技術和基礎設施的投資可能很大，影響一些用戶的負擔能力和可近性。

與現有系統整合：將 AI 3D 模型產生器與現有系統整合非常複雜。相容性問題以及對特殊軟體和硬體的需求可能會阻礙採用和實施。

總而言之，雖然技術進步和不斷成長的需求將推動 AI 3D 模型生成器市場的發展，但必須解決成本、整合和法規遵循方面的挑戰，以確保持續成長和創新。

目錄

第1章執行摘要

第2章全球 AI 3D 模型產生器市場：市場動態

  • 簡介、背景和分類
  • 供應鏈
  • 產業驅動力與挑戰

第3章市場趨勢與預測分析（2019-2031）

  • 宏觀經濟趨勢（2019-2024）及預測（2025-2031）
  • 全球 AI 3D 模型生成器市場趨勢（2019-2024 年）及預測（2025-2031 年）
  • 全球 AI 3D 模型生成器市場（按類型）
    • 文字轉 3D
    • 影像中的 3D
    • 影片中的 3D
  • 全球人工智慧 3D 模型生成器市場（按應用）
    • 遊戲開發
    • 建築和室內設計
    • VR和AR
    • 機器人模擬
    • 其他

第4章區域市場趨勢與預測分析（2019-2031）

  • 全球人工智慧 3D 模型生成器市場（按地區）
  • 北美AI 3D模型生成器市場
  • 歐洲AI 3D模型生成器市場
  • 亞太地區 AI 3D 模型生成器市場
  • 世界其他地區的AI 3D模型生成器市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球 AI 3D 模型生成器市場成長機會（按類型）
    • 全球人工智慧 3D 模型生成器市場成長機會（按應用）
    • 全球人工智慧 3D 模型生成器市場各區域成長機會
  • 全球 AI 3D 模型生成器市場新興趨勢
  • 戰略分析
    • 新產品開發
    • 全球 AI 3D 模型生成器市場能力的不斷擴展
    • 全球 AI 3D 模型生成器市場的合併、收購和合資企業
    • 認證和許可

第7章主要企業簡介

  • Spline
  • Masterpiece X
  • Meshcapade
  • NeROIC
  • DPT Depth
  • Ponzu
  • 3DFY AI
  • Sloyd
  • DeepMotion
  • Rokoko Vision
簡介目錄

The future of the global AI 3D model generator market looks promising with opportunities in the game development, architecture & interior design, VR & AR, and robot simulation markets. The global AI 3D model generator market is expected to grow with a CAGR of 23.5% from 2025 to 2031. The major drivers for this market are increasing demand for realistic virtual environments, growing need in gaming, architecture, and virtual reality sectors, and rising focus on faster & more accurate 3d model generation.

  • Lucintel forecasts that, within the type category text to 3D segment is expected to witness the highest growth over the forecast period.
  • Within the application category, game development is expected to witness the highest growth.
  • In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the AI 3D Model Generator Market

The AI 3D model generator market is being shaped by several emerging trends that are transforming how 3D models are created and utilized across different industries.

  • Increased Use of Generative Adversarial Networks (GANs): GANs are increasingly being used to generate high-quality 3D models from 2D images. This trend enhances the realism and detail of models, making them suitable for applications in film, gaming, and virtual reality.
  • Integration with Augmented and Virtual Reality: AI 3D model generators are being integrated with AR and VR platforms to create immersive experiences. This trend improves the realism and interactivity of virtual environments, driving advancements in gaming, training simulations, and architectural visualization.
  • Real-Time 3D Model Generation: There is a growing focus on real-time 3D model generation to support dynamic applications. This trend is enhancing the capabilities of live-streaming, interactive entertainment, and real-time simulations, providing more engaging and responsive user experiences.
  • Automated 3D Modeling for E-Commerce: AI is increasingly being used to automate 3D modeling for e-commerce applications. This trend enables the creation of interactive and customizable product visualizations, improving online shopping experiences and increasing conversion rates.
  • Enhanced Personalization and Customization: AI 3D model generators are enabling more personalized and customized model creation. This trend allows for the generation of unique models tailored to individual preferences, enhancing user engagement and satisfaction in various applications, including design and fashion.

In summary, these trends are driving significant advancements in the AI 3D model generators market, enhancing capabilities and applications across various sectors and reshaping how 3D models are created and used.

Recent Developments in the AI 3D Model Generator Market

Recent developments in the AI 3D model generators market reflect technological advancements and increasing applications across industries. These developments are shaping the future of 3D modeling and its integration with other technologies.

  • Advancement in AI Algorithms: New AI algorithms are being developed to improve the accuracy and detail of 3D models. These advancements enable more realistic and complex model generation, enhancing applications in virtual reality and simulation.
  • Integration with Cloud Computing: AI 3D model generators are increasingly being integrated with cloud computing platforms. This development allows for scalable and collaborative model creation, facilitating real-time updates and sharing among distributed teams.
  • Enhanced Photorealistic Rendering: Recent developments include improvements in photorealistic rendering capabilities. AI-driven technologies are providing higher-quality visualizations, making 3D models more lifelike and suitable for high-end applications in entertainment and design.
  • Development of AI-Powered Design Tools: New AI-powered design tools are being introduced to streamline the 3D modeling process. These tools automate repetitive tasks and provide intelligent suggestions, speeding up the design process and improving productivity.
  • Expansion into Healthcare and Education: AI 3D model generators are finding new applications in healthcare and education. Developments include tools for creating detailed anatomical models for medical training and interactive educational resources, enhancing learning and training experiences.

In conclusion, these developments are significantly impacting the AI 3D model generators market by advancing technology, enhancing capabilities, and expanding applications across various sectors, driving innovation and growth.

Strategic Growth Opportunities for AI 3D Model Generator Market

The AI 3D model generators market presents several strategic growth opportunities across key applications. Leveraging advancements in AI and 3D modeling technology, these opportunities offer the potential for innovation and expansion in various sectors.

  • Virtual and Augmented Reality Applications: AI 3D model generators offer growth opportunities in VR and AR applications. Enhanced modeling capabilities can create more immersive and interactive virtual environments, driving demand in the gaming, training, and simulation industries.
  • Automotive and Aerospace Design: The automotive and aerospace industries present significant growth opportunities for AI 3D model generators. Advanced modeling tools can support design and prototyping, improving efficiency and precision in developing complex components and systems.
  • E-Commerce and Retail: AI 3D model generators have growth potential in e-commerce and retail. Automated 3D modeling can enhance product visualization and customization, improving online shopping experiences and increasing conversion rates.
  • Healthcare and Medical Imaging: The healthcare sector presents opportunities for AI 3D model generators in medical imaging and diagnostics. Detailed 3D models can improve surgical planning, medical training, and patient education, contributing to better healthcare outcomes.
  • Education and Training: AI 3D model generators can transform education and training by creating interactive and engaging learning resources. Applications include virtual labs, interactive simulations, and educational games, enhancing the learning experience across various subjects.

In summary, these strategic growth opportunities highlight the potential for AI 3D model generators to drive innovation and expansion across diverse applications, including VR/AR, automotive design, e-commerce, healthcare, and education.

AI 3D Model Generator Market Driver and Challenges

The AI 3D model generators market is influenced by various drivers and challenges that impact its growth and development. These factors include technological advancements, economic considerations, and regulatory issues.

The factors responsible for driving the AI 3D model generator market include:

1. Technological Advancements in AI and 3D Modeling: Rapid advancements in AI and 3D modeling technologies are a major driver. Innovations in algorithms and computing power enhance the capabilities and applications of AI 3D model generators, expanding their use across industries.

2. Growing Demand for Realistic and Interactive Content: The increasing demand for realistic and interactive content is driving the adoption of AI 3D model generators. High-quality visualizations and immersive experiences are becoming essential in the entertainment, education, and design sectors.

3. Expansion of Virtual and Augmented Reality: The growth of VR and AR technologies is a significant driver. AI 3D model generators are crucial for creating detailed and interactive virtual environments, supporting advancements in gaming, training, and simulation.

4. Cost and Resource Efficiency: The ability of AI 3D model generators to automate and streamline the modeling process drives their adoption. Cost and resource efficiency are important factors for industries seeking to reduce production time and costs.

Challenges in the AI 3D model generator market are:

1. Data Privacy and Security Concerns: Challenges related to data privacy and security are significant. Ensuring that AI 3D model generators handle sensitive data responsibly and comply with regulations is crucial for maintaining trust and compliance.

2. High Development and Implementation Costs: The high costs associated with developing and implementing AI 3D model generators pose a challenge. Investment in technology and infrastructure can be substantial, impacting affordability and accessibility for some users.

3. Integration with Existing Systems: Integrating AI 3D model generators with existing systems can be complex. Compatibility issues and the need for specialized software and hardware can hinder adoption and implementation.

In conclusion, while technological advancements and growing demand drive the AI 3D model generators market, challenges related to costs, integration, and regulatory compliance must be addressed to ensure sustained growth and innovation.

List of AI 3D Model Generator Companies

Companies in the market compete based on product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI 3D model generator companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI 3D model generator companies profiled in this report include-

  • Spline
  • Masterpiece X
  • Meshcapade
  • NeROIC
  • DPT Depth
  • Ponzu
  • 3DFY AI
  • Sloyd
  • DeepMotion
  • Rokoko Vision

AI 3D Model Generator by Segment

The study includes a forecast for the global AI 3D model generator market by type, application, and region.

AI 3D Model Generator Market by Type [Analysis by Value from 2019 to 2031]:

  • Text to 3D
  • Image to 3D
  • Video to 3D

AI 3D Model Generator Market by Application [Value from 2019 to 2031]:

  • Game Development
  • Architecture & Interior Design
  • VR & AR
  • Robot Simulation
  • Others

AI 3D Model Generator Market by Region [Analysis by Value from 2019 to 2031]:

  • In terms of regions, North America
  • Europe
  • Asia Pacific
  • The Rest of the World

Country Wise Outlook for the AI 3D Model Generator Market

Major players in the market are expanding their operations and forming strategic partnerships to strengthen their positions. The below image highlights recent developments by major AI 3D model generators producers in key regions: the USA, China, India, Japan, and Germany.

  • United States: In the U.S., companies like NVIDIA and Adobe have made significant advancements in AI-driven 3D model generation. Recent developments include enhanced algorithms for photorealistic rendering and real-time model generation, which are improving applications in gaming, virtual reality, and film production.
  • China: China is advancing AI 3D modeling through government-backed initiatives and tech giants like Baidu and Tencent. Key developments include AI-powered tools for automating 3D model creation and integration with augmented reality (AR) applications, boosting capabilities in gaming and e-commerce.
  • Germany: In Germany, research institutions and companies are focusing on AI-enhanced 3D modeling for industrial applications. Recent advancements include AI algorithms for precise digital twins and simulations, supporting innovations in manufacturing, automotive design, and smart city projects.
  • India: India is experiencing growth in AI 3D model generation, driven by startups and research institutions. Developments include cost-effective AI tools for 3D modeling in fields such as architecture and education, enhancing accessibility and affordability for various industries.
  • Japan: Japan is leveraging AI for advancements in 3D modeling in sectors like robotics and gaming. Companies like Sony and SoftBank are developing AI-powered 3D model generators for high-fidelity simulations and interactive experiences, enhancing user engagement and technological capabilities.

Features of the Global AI 3D Model Generator Market

Market Size Estimates: AI 3D model generator market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: AI 3D model generator market size by type, application, and region in terms of value ($B).

Regional Analysis: AI 3D model generator market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI 3D model generator market.

Strategic Analysis: This includes M&A, new product development, and the competitive landscape of the AI 3D model generator market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers the following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the AI 3D model generator market by type (text to 3D, image to 3D, and video to 3D), application (game development, architecture & interior design, VR & AR, robot simulation, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI 3D Model Generator Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

  • 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
  • 3.2. Global AI 3D Model Generator Market Trends (2019-2024) and Forecast (2025-2031)
  • 3.3: Global AI 3D Model Generator Market by Type
    • 3.3.1: Text to 3D
    • 3.3.2: Image to 3D
    • 3.3.3: Video to 3D
  • 3.4: Global AI 3D Model Generator Market by Application
    • 3.4.1: Game Development
    • 3.4.2: Architecture & Interior Design
    • 3.4.3: VR & AR
    • 3.4.4: Robot Simulation
    • 3.4.5: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

  • 4.1: Global AI 3D Model Generator Market by Region
  • 4.2: North American AI 3D Model Generator Market
    • 4.2.1: North American AI 3D Model Generator Market by Type: Text to 3D, Image to 3D, and Video to 3D
    • 4.2.2: North American AI 3D Model Generator Market by Application: Game Development, Architecture & Interior Design, VR & AR, Robot Simulation, and Others
  • 4.3: European AI 3D Model Generator Market
    • 4.3.1: European AI 3D Model Generator Market by Type: Text to 3D, Image to 3D, and Video to 3D
    • 4.3.2: European AI 3D Model Generator Market by Application: Game Development, Architecture & Interior Design, VR & AR, Robot Simulation, and Others
  • 4.4: APAC AI 3D Model Generator Market
    • 4.4.1: APAC AI 3D Model Generator Market by Type: Text to 3D, Image to 3D, and Video to 3D
    • 4.4.2: APAC AI 3D Model Generator Market by Application: Game Development, Architecture & Interior Design, VR & AR, Robot Simulation, and Others
  • 4.5: ROW AI 3D Model Generator Market
    • 4.5.1: ROW AI 3D Model Generator Market by Type: Text to 3D, Image to 3D, and Video to 3D
    • 4.5.2: ROW AI 3D Model Generator Market by Application: Game Development, Architecture & Interior Design, VR & AR, Robot Simulation, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global AI 3D Model Generator Market by Type
    • 6.1.2: Growth Opportunities for the Global AI 3D Model Generator Market by Application
    • 6.1.3: Growth Opportunities for the Global AI 3D Model Generator Market by Region
  • 6.2: Emerging Trends in the Global AI 3D Model Generator Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global AI 3D Model Generator Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI 3D Model Generator Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Spline
  • 7.2: Masterpiece X
  • 7.3: Meshcapade
  • 7.4: NeROIC
  • 7.5: DPT Depth
  • 7.6: Ponzu
  • 7.7: 3DFY AI
  • 7.8: Sloyd
  • 7.9: DeepMotion
  • 7.10: Rokoko Vision