아시아태평양의 생성형 AI 시장 : 비즈니스 프로세스, 유형, 기술, 제공 부문, 국가별 분석 및 예측(2023-2033년)

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