アジア太平洋の生成AI市場：ビジネスプロセス・タイプ・技術・提供区分・国別の分析・予測 (2023-2033年)

アジア太平洋の生成AI市場は、2023年の30億6,000万米ドルから、予測期間中は33.24%のCAGRで推移し、2033年には539億6,000万米ドルの規模に成長すると予測されています。

AIアプリケーションは、アジア太平洋地域全体のイノベーションを促進する最先端技術である生成AIによって変革されつつあります。生成AIは、特定のタスクに限定された典型的なAIシステムとは対照的に、テキスト、写真、音楽、動画などの新しいコンテンツを自律的に生成できるという点で際立っています。

高度なアルゴリズムとニューラルネットワークを使用することで、機械はデータ内の複雑なパターンを認識、理解、創造できるようになっています。これは革命的な能力です。生成AIは、確率的モデリングとディープラーニングを活用して人間の創造性を模倣し、人間が生成したコンテンツに酷似したコンテンツを生成します。これらのモデルは反復訓練によってさらに改良され、首尾一貫した現実的な情報を提供する能力を高めます。

アジア太平洋の生成AI市場は、製造、ヘルスケア、エンターテインメント、金融などさまざまな業界で最先端のAIソリューションに対するニーズが高まっているため、急速に拡大しています。生成AIは、新鮮なテキスト、画像、音楽、映像素材を独自に生成できるため、生産性、創造性、カスタマイズ性を高めることで、多くの分野に変革をもたらしつつあります。

R&Dへの多額の投資により、中国、日本、韓国、インドなどの国が生成AIの開発をリードしています。この最先端技術は、業務の合理化、経費の節減、顧客満足度の向上のために、企業と政府の両方で利用されています。さらに、生成AIは、バーチャルリアリティ、製品デザイン、デジタルコンテンツ制作における自動化とパーソナライゼーションの需要増に対応するために不可欠です。

市場セグメンテーション

セグメンテーション1：ビジネスプロセス別

• コンテンツ作成・マーケティング
• 人材資源管理
• R&D
• 財務

セグメンテーション2：タイプ別

• ビジュアル
• オーディオ
• テキストベース
• その他

セグメンテーション3：技術別

• 生成逆数ネットワーク (GAN)
• 変分オートエンコーダ (VAE)
• トランスフォーマー
• 拡散ネットワーク

セグメンテーション4：提供区分別

• 自然言語処理 (NLP)
• 機械学習ベースの予測モデリング
• コンピュータービジョン
• ロボティクス・オートメーション
• 拡張現実 (AR)・仮想現実 (VR)

セグメンテーション5：国別

• 中国
• インド
• 日本
• 韓国
• オーストラリア
• その他

当レポートでは、アジア太平洋の生成AIの市場を調査し、業界の動向、技術・特許の動向、法規制環境、市場成長促進要因・抑制要因、市場規模の推移・予測、各種区分・主要国別の詳細分析、競合情勢、主要企業のプロファイルなどをまとめています。

目次

エグゼクティブサマリー

範囲と定義

第1章 市場

• 市場動向：現状と将来
  • 市場の定義
  • 進行中の生成AIの動向
  • エコシステム/進行中のプログラム
  • AI産業：現状と将来の展望
  • 生成AIイノベーションのタイムライン：タイプ別
  • スタートアップと投資の情勢
• 市場力学の概要
  • 事業促進要因
  • 事業課題
  • 事業機会

第2章 地域

• 地域別概要
• 促進要因・抑制要因
• アジア太平洋
  • 地域概要
  • 市場成長の原動力
  • 市場課題
  • 用途
  • 製品
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア
  • その他

第3章 市場：競合ベンチマーキング・企業プロファイル

• 次なるフロンティア
• 地理的評価
  • SAMSUNG

第4章 調査手法

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

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