亚太地区生成人工智慧市场：依业务流程类型、技术、产品类别和国家进行分析和预测（2023-2033）

亚太地区生成人工智慧市场预计将从 2023 年的 30.6 亿美元成长到 2033 年的 539.6 亿美元，预测期内复合年增长率为 33.24%。

生成式人工智慧正在改变人工智慧应用程序，生成式人工智慧是一项正在推动全部区域创新的最尖端科技。生成式人工智慧的突出之处在于它可以自主生成新内容，例如文字、照片、音乐和影片，而不是仅限于特定任务的典型人工智慧系统。

使用先进的演算法和神经网络，机器现在能够识别、理解和创建资料中的复杂模式。这是一种革命性的能力。生成式人工智慧利用机率建模和深度学习来模仿人类的创造力并产生与人类生成的内容非常相似的内容。这些模型透过迭代训练进一步完善，提高了提供一致和真实资讯的能力。

由于製造业、医疗保健、娱乐和金融等各行业对尖端人工智慧解决方案的需求不断增长，亚太地区生成式人工智慧市场正在迅速扩大。生成式人工智慧透过让用户独特地生成新鲜文字、图像、音乐和影像片段来提高生产力、创造力和客製化，彻底改变许多领域。

中国、日本、韩国和印度等国家在研发方面投入大量资金，在生成式人工智慧的发展方面处于领先地位。企业和政府都使用这项最尖端科技来简化业务、节省资金并提高客户满意度。此外，生成式人工智慧对于满足虚拟实境、产品设计和数位内容创建领域对自动化和个人化日益增长的需求至关重要。

市场区隔

细分1：按业务流程

• 内容创作/行销
• 人力资源管理
• R&D
• 金融

细分 2：按类型

• 视觉的
• 音讯的
• 基于文本的
• 其他的

细分 3：依技术分类

• 产生互惠网路（GAN）
• 变分自动编码器 (VAE)
• 变压器
• 扩散网络

细分 4：依规定类别

• 自然语言处理（NLP）
• 基于机器学习的预测建模
• 电脑视觉
• 机器人自动化
• 扩增实境（AR）/虚拟实境（VR）

细分 5：按国家/地区划分

• 中国
• 印度
• 日本
• 韩国
• 澳洲
• 其他的

本报告调查了亚太地区的生成人工智慧市场，并提供了有关行业趋势、技术和专利趋势、法律制度、市场成长促进和限制、市场规模趋势和预测、各个细分市场和主要国家的资料。

目录

执行摘要

范围和定义

第一章 市场

• 市场趋势：现况与未来
  • 市场定义
  • 产生人工智慧的持续趋势
  • 生态系统/正在进行的计划
  • AI产业：现况与未来展望
  • 生成式人工智慧创新时间表：按类型
  • Start-Ups及投资环境
• 市场动态概览
  • 业务促进因素
  • 业务问题
  • 商业机会

第二章 区域

• 区域概况
• 促进因素/抑制因素
• 亚太地区
  • 区域概况
  • 市场成长的驱动因素
  • 市场问题
  • 目的
  • 产品
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲
  • 其他的

第三章市场：竞争基准化分析/公司简介

• 下一个前沿
• 地理评估
  • SAMSUNG

第四章调查方法

Introduction to Asia-Pacific Generative AI Market

The Asia-Pacific generative AI market is projected to reach $53.96 billion by 2033 from $3.06 billion in 2023, growing at a CAGR of 33.24% during the forecast period 2023-2033. AI applications are being revolutionized by generative AI, a cutting-edge technology that is fostering innovation throughout the Asia-Pacific (APAC) region. Generative AI is distinct in that it can autonomously produce new content, including text, photos, music, and videos, in contrast to typical AI systems that are restricted to particular tasks.

With the use of sophisticated algorithms and neural networks, machines are now able to recognize, understand, and create complex patterns in data. This is a revolutionary capacity. Generative AI imitates human creativity by utilizing probabilistic modeling and deep learning to produce content that closely resembles human-generated content. These models are further refined by iterative training, which enhances their capacity to provide coherent and realistic information.

Personalized and flexible outcomes can be obtained using generative AI, which can create tailored material in response to input such as text prompts, images, or audio samples. These models are able to improve the caliber and applicability of their outputs over time thanks to feedback systems. Grounded on a wide range of applications, generative AI offers unparalleled prospects for innovation and expansion in several sectors in the Asia-Pacific area.

Market Introduction

APAC's generative AI market is expanding quickly due to the growing need for cutting-edge AI solutions in a variety of industries, including manufacturing, healthcare, entertainment, and finance. Because it can independently produce fresh text, images, music, and video material, generative AI is transforming a number of sectors by enhancing productivity, creativity, and customisation.

With substantial investments in R&D, APAC nations like China, Japan, South Korea, and India are leading the way in the development of generative AI. This state-of-the-art technology is being used by both corporations and governments to streamline operations, save expenses, and improve customer satisfaction. Additionally, generative AI is essential in meeting the increased demand for automation and personalization in virtual reality, product design, and digital content creation.

The integration of generative AI with other cutting-edge technologies, like computer vision, machine learning, and natural language processing, is a defining feature of the APAC industry. Businesses are able to provide more thoughtful and flexible solutions and optimize their operations because to this connection.

The APAC generative AI market is anticipated to grow significantly with an emphasis on innovation and technical advancements. This presents a great opportunity for organizations to take advantage of the revolutionary potential of generative AI across many industries.

Market Segmentation

Segmentation 1: by Business Process

• Content Creation and Marketing
• Human Resource Management
• Research and Development
• Finance

Segmentation 2: by Type

• Visual
• Audio
• Text-Based
• Others

Segmentation 3: by Technology

• Generative Adversarial Network (GAN)
• Variational Autoencoder (VAE)
• Transformer
• Diffusion Network

Segmentation 4: by Offering

• Natural Language Processing (NLP)
• Machine Learning-Based Predictive Modeling
• Computer Vision
• Robotics and Automation
• Augmented Reality (AR) and Virtual Reality (VR)

Segmentation 5: by Country

• China
• India
• Japan
• South Korea
• Australia
• Rest-of-Asia-Pacific

How can this report add value to an organization?

Product/Innovation Strategy: The product segment helps the reader understand the different types of products available for deployment and their potential in APAC region. Moreover, the study provides the reader with a detailed understanding of the generative AI market by application on the basis of business process (content creation and marketing, human resource management, research and development, finance, and others) and product on the basis of type (visual, audio, text-based, and others), technology(generative adversarial network (GAN), variational autoencoder (VAE), transformer, and diffusion network), offering (natural language processing (NLP), machine learning-based predictive modeling, computer vision, robotics and automation, augmented reality (AR) and virtual reality (VR), and others).

Growth/Marketing Strategy: The Asia-Pacific generative AI market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnerships and contracts to strengthen their position in the generative AI market.

Competitive Strategy: Key players in the Asia-Pacific generative AI market analyzed and profiled in the study involve major companies offering generative AI solutions designed for various applications. Moreover, a detailed competitive benchmarking of the players operating in the APAC generative AI market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Table of Contents

Executive Summary

Scope and Definition

1 Markets

• 1.1 Market Trends: Current and Future
  • 1.1.1 Market Definition
  • 1.1.2 Ongoing Generative AI Trends
    • 1.1.2.1 Shadow AI
    • 1.1.2.2 Edge Computing for Generative AI
    • 1.1.2.3 Multimodal AI
  • 1.1.3 Ecosystem/Ongoing Programs
    • 1.1.3.1 Regulatory Implications
    • 1.1.3.2 Generative AI Market: Stakeholders
      • 1.1.3.2.1 Cloud Platform Providers
      • 1.1.3.2.2 Hardware Providers
      • 1.1.3.2.3 API/API-as-a-Service Providers
      • 1.1.3.2.4 End Users
  • 1.1.4 Artificial Intelligence Industry: Current and Future Outlook
  • 1.1.5 Generative AI Innovation Timeline: By Type
  • 1.1.6 Start-Up and Investment Landscape
• 1.2 Market Dynamics Overview
  • 1.2.1 Business Drivers
    • 1.2.1.1 Advancements in Machine Learning and AI Technologies
    • 1.2.1.2 Availability of Big Data
    • 1.2.1.3 Public and Media Interest
  • 1.2.2 Business Challenges
    • 1.2.2.1 Ethical and Regulatory Challenges
    • 1.2.2.2 Public Perception and Trust
    • 1.2.2.3 Data Inaccuracy
  • 1.2.3 Business Opportunities
    • 1.2.3.1 Ethical AI Development and Bias Mitigation Services
    • 1.2.3.2 Platform-as-a-Service (PaaS) Offerings

2 Regions

• 2.1 Regional Summary
• 2.2 Drivers and Restraints
• 2.3 Asia-Pacific
  • 2.3.1 Regional Overview
  • 2.3.2 Driving Factors for Market Growth
  • 2.3.3 Factors Challenging the Market
  • 2.3.4 Application
  • 2.3.5 Product
  • 2.3.6 China
  • 2.3.7 Application
  • 2.3.8 Product
  • 2.3.9 India
  • 2.3.10 Application
  • 2.3.11 Product
  • 2.3.12 Japan
  • 2.3.13 Application
  • 2.3.14 Product
  • 2.3.15 South Korea
  • 2.3.16 Application
  • 2.3.17 Product
  • 2.3.18 Australia
  • 2.3.19 Product
  • 2.3.20 Rest-of-Asia-Pacific
  • 2.3.21 Application
  • 2.3.22 Product

3 Markets - Competitive Benchmarking & Company Profiles

• 3.1 Next Frontiers
• 3.2 Geographic Assessment
  • 3.2.1 SAMSUNG
    • 3.2.1.1 Overview
    • 3.2.1.2 Top Products/Product Portfolio
    • 3.2.1.3 Top Competitors
    • 3.2.1.4 Target Customers
    • 3.2.1.5 Key Personnel
    • 3.2.1.6 Analyst View
    • 3.2.1.7 Market Share, 2022

4 Research Methodology

• 4.1 Data Sources
  • 4.1.1 Primary Data Sources
  • 4.1.2 Secondary Data Sources
  • 4.1.3 Data Triangulation
• 4.2 Market Estimation and Forecast

List of Figures

• Figure 1: Asia-Pacific Generative AI Market (by Business Process), 2022, 2026, and 2033
• Figure 2: Asia-Pacific Generative AI Market (by Type), 2022, 2026, and 2033
• Figure 3: Asia-Pacific Generative AI Market (by Technology), 2022, 2026, and 2033
• Figure 4: Asia-Pacific Generative AI Market (by Offering), 2022, 2026, and 2033
• Figure 5: Generative AI, Recent Developments
• Figure 6: Strategic Initiatives, 2020-2024
• Figure 7: Share of Strategic Initiatives, 2020-2024
• Figure 8: Data Triangulation
• Figure 9: Top-Down and Bottom-Up Approach
• Figure 10: Assumptions and Limitations

List of Tables

• Table 1: Market Snapshot
• Table 2: Generative AI, Opportunities across Regions
• Table 3: From a policy perspective, the U.K. and the U.S. are leading geographies with a seemingly favorable environment.
• Table 4: Text-Based Generative AI
• Table 5: Audio Generative AI
• Table 6: Visual Generative AI
• Table 7: Others
• Table 8: Impact Analysis of Market Navigating Factors, 2023-2033
• Table 9: Generative AI Market (by Region), $Million, 2022-2033
• Table 10: Asia-Pacific Generative AI Market (by Business Process), $Million, 2022-2033
• Table 11: Asia-Pacific Generative AI Market (by Type), $Million, 2022-2033
• Table 12: Asia-Pacific Generative AI Market (by Technology), $Million, 2022-2033
• Table 13: Asia-Pacific Generative AI Market (by Offering), $Million, 2022-2033
• Table 14: China Generative AI Market (by Business Process), $Million, 2022-2033
• Table 15: China Generative AI Market (by Type), $Million, 2022-2033
• Table 16: China Generative AI Market (by Technology), $Million, 2022-2033
• Table 17: China Generative AI Market (by Offering), $Million, 2022-2033
• Table 18: India Generative AI Market (by Business Process), $Million, 2022-2033
• Table 19: India Generative AI Market (by Type), $Million, 2022-2033
• Table 20: India Generative AI Market (by Technology), $Million, 2022-2033
• Table 21: India Generative AI Market (by Offering), $Million, 2022-2033
• Table 22: Japan Generative AI Market (by Business Process), $Million, 2022-2033
• Table 23: Japan Generative AI Market (by Type), $Million, 2022-2033
• Table 24: Japan Generative AI Market (by Technology), $Million, 2022-2033
• Table 25: Japan Generative AI Market (by Offering), $Million, 2022-2033
• Table 26: South Korea Generative AI Market (by Business Process), $Million, 2022-2033
• Table 27: South Korea Generative AI Market (by Type), $Million, 2022-2033
• Table 28: South Korea Generative AI Market (by Technology), $Million, 2022-2033
• Table 29: South Korea Generative AI Market (by Offering), $Million, 2022-2033
• Table 30: Australia Generative AI Market (by Business Process), $Million, 2022-2033
• Table 31: Australia Generative AI Market (by Type), $Million, 2022-2033
• Table 32: Australia Generative AI Market (by Technology), $Million, 2022-2033
• Table 33: Australia Generative AI Market (by Offering), $Million, 2022-2033
• Table 34: Rest-of-Asia-Pacific Generative AI Market (by Business Process), $Million, 2022-2033
• Table 35: Rest-of-Asia-Pacific Generative AI Market (by Type), $Million, 2022-2033
• Table 36: Rest-of-Asia-Pacific Generative AI Market (by Technology), $Million, 2022-2033
• Table 37: Rest-of-Asia-Pacific Generative AI Market (by Offering), $Million, 2022-2033