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Asia Pacific Composite AI Market Size, Share & Industry Trends Analysis Report By Technique, By Vertical, By Application, By Offering, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 174 Pages
  • June 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5852090
The Asia Pacific Composite AI Market should witness market growth of 37.8% CAGR during the forecast period (2023-2030).

The adoption of Composite AI across the finance sector is driven by the growing utilization of behavioral analysis in the BFSI sector to recognize patterns and forecast fraudulent activity for every consumer through data mining & natural language processing for analyzing customer information such as KYC data and transaction history. Another significant factor driving the expansion of the market in the finance sector is the increasing use of network analysis and visual link analysis to track the flow of funds, evaluate transaction history, and determine relationships between all entities associated with fraudulent transactions employing knowledge graphs.

Organizations use customized AI models created for particular tasks, including voice synthesis, language translation, and picture identification. These models are blended and incorporated into composite AI systems to generate more flexible and potent applications. It often uses pre-trained models and models trained on particular datasets. Organizations may benefit from the broad knowledge and domain-specific expertise using this hybrid strategy, improving performance and adaptability.

Recent advances in artificial technology have compelled countries in this area to concentrate on these changes. The technological advancements that AI has brought about have put pressure on industries and businesses to alter their strategies. China is also preparing its resources, including its people, its natural resources, and its intellect, as well as the connections between them. The market is anticipated to increase due to the region's education sector's rising use of AI.

The China market dominated the Asia Pacific Composite AI Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $650.8 million by 2030. The Japan market is poised to grow at a CAGR of 36.9% during (2023-2030). Additionally, The India market would experience a CAGR of 38.6% during (2023-2030).

Based on Technique, the market is segmented into Data Processing, Data Mining & Machine Learning, Conditioned Monitoring, Pattern Recognition and Proactive Mechanism & Others. Based on Vertical, the market is segmented into BFSI, Telecommunications, Retail & eCommerce, Healthcare & Lifesciences, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing and Others. Based on Application, the market is segmented into Product Design & Development, Quality Control, Predictive Maintenance, Security & Surveillance and Customer Service & Others. Based on Offering, the market is segmented into Hardware (Processors, Memory Units, Networks and Others), Software (AI Development Platforms & Tools, ML Framework and AI Middleware & Others) and Services.Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAS Institute, Inc., Microsoft Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, SAP SE, and Squirro AG

Scope of the Study

By Technique

  • Data Processing
  • Data Mining & Machine Learning
  • Conditioned Monitoring
  • Pattern Recognition
  • Proactive Mechanism & Others

By Vertical

  • BFSI
  • Telecommunications
  • Retail & eCommerce
  • Healthcare & Lifesciences
  • Media & Entertainment
  • Energy & Power
  • Transportation & Logistics
  • Government & Defense
  • Manufacturing
  • Others

By Application

  • Product Design & Development
  • Quality Control
  • Predictive Maintenance
  • Security & Surveillance
  • Customer Service & Others

By Offering

  • Hardware
    • Processors
    • Memory Units
    • Networks
    • Others
  • Software
    • AI Development Platforms & Tools
    • ML Framework
    • AI Middleware & Others
  • Services

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:

  • IBM Corporation
  • SAS Institute, Inc.
  • Microsoft Corporation
  • Google LLC (Alphabet Inc.)
  • Salesforce, Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • NVIDIA Corporation
  • Intel Corporation
  • SAP SE
  • Squirro AG

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Composite AI Market, by Technique
1.4.2 Asia Pacific Composite AI Market, by Vertical
1.4.3 Asia Pacific Composite AI Market, by Application
1.4.4 Asia Pacific Composite AI Market, by Offering
1.4.5 Asia Pacific Composite AI Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Analyst's Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, Jun - 2023, Jun) Leading Players
Chapter 4. Asia Pacific Composite AI Market by Technique
4.1 Asia Pacific Data Processing Market by Country
4.2 Asia Pacific Data Mining & Machine Learning Market by Country
4.3 Asia Pacific Conditioned Monitoring Market by Country
4.4 Asia Pacific Pattern Recognition Market by Country
4.5 Asia Pacific Proactive Mechanism & Others Market by Country
Chapter 5. Asia Pacific Composite AI Market by Vertical
5.1 Asia Pacific BFSI Market by Country
5.2 Asia Pacific Telecommunications Market by Country
5.3 Asia Pacific Retail & eCommerce Market by Country
5.4 Asia Pacific Healthcare & Lifesciences Market by Country
5.5 Asia Pacific Media & Entertainment Market by Country
5.6 Asia Pacific Energy & Power Market by Country
5.7 Asia Pacific Transportation & Logistics Market by Country
5.8 Asia Pacific Government & Defense Market by Country
5.9 Asia Pacific Manufacturing Market by Country
5.1 Asia Pacific Others Market by Country
Chapter 6. Asia Pacific Composite AI Market by Application
6.1 Asia Pacific Product Design & Development Market by Country
6.2 Asia Pacific Quality Control Market by Country
6.3 Asia Pacific Predictive Maintenance Market by Country
6.4 Asia Pacific Security & Surveillance Market by Country
6.5 Asia Pacific Customer Service & Others Market by Country
Chapter 7. Asia Pacific Composite AI Market by Offering
7.1 Asia Pacific Hardware Market by Country
7.2 Asia Pacific Composite AI Market by Hardware Type
7.2.1 Asia Pacific Processors Market by Country
7.2.2 Asia Pacific Memory Units Market by Country
7.2.3 Asia Pacific Networks Market by Country
7.2.4 Asia Pacific Others Market by Country
7.3 Asia Pacific Software Market by Country
7.4 Asia Pacific Composite AI Market by Software Type
7.4.1 Asia Pacific AI Development Platforms & Tools Market by Country
7.4.2 Asia Pacific ML Framework Market by Country
7.4.3 Asia Pacific AI Middleware & Others Market by Country
7.5 Asia Pacific Services Market by Country
Chapter 8. Asia Pacific Composite AI Market by Country
8.1 China Composite AI Market
8.1.1 China Composite AI Market by Technique
8.1.2 China Composite AI Market by Vertical
8.1.3 China Composite AI Market by Application
8.1.4 China Composite AI Market by Offering
8.1.4.1 China Composite AI Market by Hardware Type
8.1.4.2 China Composite AI Market by Software Type
8.2 Japan Composite AI Market
8.2.1 Japan Composite AI Market by Technique
8.2.2 Japan Composite AI Market by Vertical
8.2.3 Japan Composite AI Market by Application
8.2.4 Japan Composite AI Market by Offering
8.2.4.1 Japan Composite AI Market by Hardware Type
8.2.4.2 Japan Composite AI Market by Software Type
8.3 India Composite AI Market
8.3.1 India Composite AI Market by Technique
8.3.2 India Composite AI Market by Vertical
8.3.3 India Composite AI Market by Application
8.3.4 India Composite AI Market by Offering
8.3.4.1 India Composite AI Market by Hardware Type
8.3.4.2 India Composite AI Market by Software Type
8.4 South Korea Composite AI Market
8.4.1 South Korea Composite AI Market by Technique
8.4.2 South Korea Composite AI Market by Vertical
8.4.3 South Korea Composite AI Market by Application
8.4.4 South Korea Composite AI Market by Offering
8.4.4.1 South Korea Composite AI Market by Hardware Type
8.4.4.2 South Korea Composite AI Market by Software Type
8.5 Singapore Composite AI Market
8.5.1 Singapore Composite AI Market by Technique
8.5.2 Singapore Composite AI Market by Vertical
8.5.3 Singapore Composite AI Market by Application
8.5.4 Singapore Composite AI Market by Offering
8.5.4.1 Singapore Composite AI Market by Hardware Type
8.5.4.2 Singapore Composite AI Market by Software Type
8.6 Malaysia Composite AI Market
8.6.1 Malaysia Composite AI Market by Technique
8.6.2 Malaysia Composite AI Market by Vertical
8.6.3 Malaysia Composite AI Market by Application
8.6.4 Malaysia Composite AI Market by Offering
8.6.4.1 Malaysia Composite AI Market by Hardware Type
8.6.4.2 Malaysia Composite AI Market by Software Type
8.7 Rest of Asia Pacific Composite AI Market
8.7.1 Rest of Asia Pacific Composite AI Market by Technique
8.7.2 Rest of Asia Pacific Composite AI Market by Vertical
8.7.3 Rest of Asia Pacific Composite AI Market by Application
8.7.4 Rest of Asia Pacific Composite AI Market by Offering
8.7.4.1 Rest of Asia Pacific Composite AI Market by Hardware Type
8.7.4.2 Rest of Asia Pacific Composite AI Market by Software Type
Chapter 9. Company Profiles
9.1 IBM Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Regional & Segmental Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 SAS Institute, Inc.
9.2.1 Company Overview
9.2.2 Recent strategies and developments:
9.2.2.1 Partnerships, Collaborations, and Agreements:
9.3 Google LLC (Alphabet Inc.)
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expense
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.5.2 Product Launches and Product Expansions:
9.3.6 SWOT Analysis
9.4 Intel Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Product Launches and Product Expansions:
9.4.6 SWOT Analysis
9.5 Salesforce, Inc.
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.5.2 Product Launches and Product Expansions:
9.5.6 SWOT Analysis
9.6 Microsoft Corporation
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent strategies and developments:
9.6.5.1 Partnerships, Collaborations, and Agreements:
9.6.6 SWOT Analysis
9.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental Analysis
9.7.4 Recent strategies and developments:
9.7.4.1 Partnerships, Collaborations, and Agreements:
9.7.4.2 Product Launches and Product Expansions:
9.7.5 SWOT Analysis
9.8 SAP SE
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental and Regional Analysis
9.8.4 Research & Development Expense
9.8.5 Recent strategies and developments:
9.8.5.1 Partnerships, Collaborations, and Agreements:
9.8.5.2 Product Launches and Product Expansions:
9.8.6 SWOT Analysis
9.9 NVIDIA Corporation
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expenses
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.5.2 Product Launches and Product Expansions:
9.9.6 SWOT Analysis
9.10. Squirro AG
9.10.1 Company Overview
9.10.2 Recent strategies and developments:
9.10.2.1 Partnerships, Collaborations, and Agreements:

Companies Mentioned

  • IBM Corporation
  • SAS Institute, Inc.
  • Microsoft Corporation
  • Google LLC (Alphabet Inc.)
  • Salesforce, Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • NVIDIA Corporation
  • Intel Corporation
  • SAP SE
  • Squirro AG

Methodology

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