亞太地區生成人工智慧市場：依業務流程類型、技術、產品類別和國家進行分析和預測（2023-2033）

亞太地區生成人工智慧市場預計將從 2023 年的 30.6 億美元成長到 2033 年的 539.6 億美元，預測期內複合年成長率為 33.24%。

生成式人工智慧正在改變人工智慧應用程式，生成式人工智慧是一項正在推動全部區域創新的最尖端科技。生成式人工智慧的突出之處在於它可以自主生成新內容，例如文字、照片、音樂和影片，而不是僅限於特定任務的典型人工智慧系統。

使用先進的演算法和神經網路，機器現在能夠識別、理解和創建資料中的複雜模式。這是一種革命性的能力。生成式人工智慧利用機率建模和深度學習來模仿人類的創造力並產生與人類生成的內容非常相似的內容。這些模型透過迭代訓練進一步完善，提高了提供一致和真實資訊的能力。

由於製造業、醫療保健、娛樂和金融等各行業對尖端人工智慧解決方案的需求不斷成長，亞太地區生成式人工智慧市場正在迅速擴大。生成式人工智慧透過讓用戶獨特地生成新鮮文字、圖像、音樂和影像片段來提高生產力、創造力和客製化，徹底改變許多領域。

中國、日本、韓國和印度等國家在研發方面投入大量資金，在生成式人工智慧的發展方面處於領先地位。企業和政府都使用這項最尖端科技來簡化業務、節省資金並提高客戶滿意度。此外，生成式人工智慧對於滿足虛擬實境、產品設計和數位內容創建領域對自動化和個人化日益成長的需求至關重要。

市場區隔

細分1：按業務流程

• 內容創作/行銷
• 人力資源管理
• R&D
• 金融

細分 2：按類型

• 視覺的
• 音訊的
• 基於文本的
• 其他

細分 3：依技術分類

• 產生互惠網路（GAN）
• 變分自動編碼器 (VAE)
• 變壓器
• 擴散網路

細分 4：依規定類別

• 自然語言處理（NLP）
• 基於機器學習的預測建模
• 電腦視覺
• 機器人自動化
• 擴增實境（AR）/虛擬實境（VR）

細分 5：按國家/地區分類

• 中國
• 印度
• 日本
• 韓國
• 澳洲
• 其他

本報告調查了亞太地區的生成人工智慧市場，並提供了有關行業趨勢、技術和專利趨勢、法律制度、市場成長促進和限制、市場規模趨勢和預測、各個細分市場和主要國家的資料。

目錄

執行摘要

範圍和定義

第1章 市場

• 市場趨勢：現況與未來
  • 市場定義
  • 產生人工智慧的持續趨勢
  • 生態系統/正在進行的計劃
  • AI產業：現況與未來展望
  • 生成式人工智慧創新時間表：按類型
  • Start-Ups及投資環境
• 市場動態概覽
  • 業務促進因素
  • 業務問題
  • 商業機會

第2章 區域

• 區域概況
• 促進因素/抑制因素
• 亞太地區
  • 區域概況
  • 市場成長的促進因素
  • 市場問題
  • 目的
  • 產品
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲
  • 其他

第3章市場：競爭基準化分析/公司簡介

• 下一個前沿
• 地理評估
  • SAMSUNG

第4章調查方法

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