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Asia Pacific Cognitive Computing Market Size, Share & Industry Trends Analysis Report By Deployment Type (On-premise and Cloud), By Technology, By Enterprise Size, By Vertical, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 162 Pages
  • September 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5903259
The Asia Pacific Cognitive Computing Market would witness market growth of 33.2% CAGR during the forecast period (2023-2030).

The enterprise's production levels are unintentionally increased by cognitive computing's assistance in processing large amounts of complex data. Most data received is unstructured and includes pictures, videos, spoken language, and symbols. Cognitive computing translates unstructured data to perceive, infer, and forecast the optimal answer using various technologies, including automated reasoning, machine learning, and natural language processing.

Additionally, cognitive computing is widely utilized in the BFSI, healthcare, energy & electricity, retail, e-commerce, and other sectors. The market is driven by growth in unstructured data volume and technological improvements. The usage of digital technologies also enhances data management and analytics while giving businesses a better understanding of their product line. In comparison to novice users, advanced users saw nearly twice as much improvement in consumer involvement and their capacity to react sooner to market demands.

Users can also use cognitive technology to help create new teaching resources and specially designed programs for pupils, staff members, and clients. Advanced users have twice the chance of achieving these results than their beginning counterparts. As the usage of cognitive technologies matures, growth-oriented outcomes, such as extending their ecosystem or expanding their firm into new markets, may become more critical.

The usage of cloud computing in the Asia Pacific region has been growing rapidly, driven by a combination of factors that make cloud technology particularly attractive to businesses and organizations in this region. Many countries in the APAC region are actively pursuing digital transformation strategies to modernize their economies and industries. Digitalization has provided the data and technological infrastructure necessary for the growth and development of cognitive computing. Cognitive systems are increasingly being integrated into various aspects of our digital lives, revolutionizing industries, and decision-making processes by leveraging the wealth of digital information available. As digitalization continues to evolve, so will the capabilities and applications of cognitive computing in this region.

The China market dominated the Asia Pacific Cognitive Computing Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $21,576.6 million by 2030. The Japan market is estimated to witness a CAGR of 32.3% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 34% during (2023 - 2030).

Based on Deployment Type, the market is segmented into On-premise and Cloud. Based on Technology, the market is segmented into Natural Language Processing (NLP), Machine Learning and Automated Reasoning & Others. Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium-sized Enterprises. Based on Vertical, the market is segmented into Healthcare, BFSI, Retail & E-commerce, Manufacturing, IT & Telecom, Government & Defense, Energy & Power and Others. 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 SAP SE, Google LLC, Tibco Software Inc., 3M Company, Microsoft Corporation, SAS Institute Inc., TATA Consultancy Services Limited, IBM Corporation, Hewlett Packard Enterprise Development LP, and Oracle Corporation.

Scope of the Study

Market Segments Covered in the Report:

By Deployment Type
  • On-premise
  • Cloud
By Technology
  • Natural Language Processing (NLP)
  • Machine Learning
  • Automated Reasoning & Others
By Enterprise Size
  • Large Enterprises
  • Small & Medium-sized Enterprises
By Vertical
  • Healthcare
  • BFSI
  • Retail & E-commerce
  • Manufacturing
  • IT & Telecom
  • Government & Defense
  • Energy & Power
  • Others
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:


  • SAP SE
  • Google LLC
  • Tibco Software Inc.
  • 3M Company
  • Microsoft Corporation
  • SAS Institute Inc.
  • TATA Consultancy Services Limited
  • IBM Corporation
  • Hewlett Packard Enterprise Development LP
  • Oracle Corporation

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 Cognitive Computing Market, by Deployment Type
1.4.2 Asia Pacific Cognitive Computing Market, by Technology
1.4.3 Asia Pacific Cognitive Computing Market, by Enterprise Size
1.4.4 Asia Pacific Cognitive Computing Market, by Vertical
1.4.5 Asia Pacific Cognitive Computing Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2022
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, Jun - 2023, May) Leading Players
4.5 Porter’s Five Force Analysis
Chapter 5. Asia Pacific Cognitive Computing Market, By Deployment Type
5.1 Asia Pacific On-premise Market, By Country
5.2 Asia Pacific Cloud Market, By Country
Chapter 6. Asia Pacific Cognitive Computing Market, By Technology
6.1 Asia Pacific Natural Language Processing (NLP) Market, By Country
6.2 Asia Pacific Machine Learning Market, By Country
6.3 Asia Pacific Automated Reasoning & Others Market, By Country
Chapter 7. Asia Pacific Cognitive Computing Market, By Enterprise Size
7.1 Asia Pacific Large Enterprises Market, By Country
7.2 Asia Pacific Small & Medium-sized Enterprises Market, By Country
Chapter 8. Asia Pacific Cognitive Computing Market, By Vertical
8.1 Asia Pacific Healthcare Market, By Country
8.2 Asia Pacific BFSI Market, By Country
8.3 Asia Pacific Retail & E-commerce Market, By Country
8.4 Asia Pacific Manufacturing Market, By Country
8.5 Asia Pacific IT & Telecom Market, By Country
8.6 Asia Pacific Government & Defense Market, By Country
8.7 Asia Pacific Energy & Power Market, By Country
8.8 Asia Pacific Others Market, By Country
Chapter 9. Asia Pacific Cognitive Computing Market, By Country
9.1 China Cognitive Computing Market
9.1.1 China Cognitive Computing Market, By Deployment Type
9.1.2 China Cognitive Computing Market, By Technology
9.1.3 China Cognitive Computing Market, By Enterprise Size
9.1.4 China Cognitive Computing Market, By Vertical
9.2 Japan Cognitive Computing Market
9.2.1 Japan Cognitive Computing Market, By Deployment Type
9.2.2 Japan Cognitive Computing Market, By Technology
9.2.3 Japan Cognitive Computing Market, By Enterprise Size
9.2.4 Japan Cognitive Computing Market, By Vertical
9.3 India Cognitive Computing Market
9.3.1 India Cognitive Computing Market, By Deployment Type
9.3.2 India Cognitive Computing Market, By Technology
9.3.3 India Cognitive Computing Market, By Enterprise Size
9.3.4 India Cognitive Computing Market, By Vertical
9.4 South Korea Cognitive Computing Market
9.4.1 South Korea Cognitive Computing Market, By Deployment Type
9.4.2 South Korea Cognitive Computing Market, By Technology
9.4.3 South Korea Cognitive Computing Market, By Enterprise Size
9.4.4 South Korea Cognitive Computing Market, By Vertical
9.5 Singapore Cognitive Computing Market
9.5.1 Singapore Cognitive Computing Market, By Deployment Type
9.5.2 Singapore Cognitive Computing Market, By Technology
9.5.3 Singapore Cognitive Computing Market, By Enterprise Size
9.5.4 Singapore Cognitive Computing Market, By Vertical
9.6 Malaysia Cognitive Computing Market
9.6.1 Malaysia Cognitive Computing Market, By Deployment Type
9.6.2 Malaysia Cognitive Computing Market, By Technology
9.6.3 Malaysia Cognitive Computing Market, By Enterprise Size
9.6.4 Malaysia Cognitive Computing Market, By Vertical
9.7 Rest of Asia Pacific Cognitive Computing Market
9.7.1 Rest of Asia Pacific Cognitive Computing Market, By Deployment Type
9.7.2 Rest of Asia Pacific Cognitive Computing Market, By Technology
9.7.3 Rest of Asia Pacific Cognitive Computing Market, By Enterprise Size
9.7.4 Rest of Asia Pacific Cognitive Computing Market, By Vertical
Chapter 10. Company Profiles
10.1 Oracle Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expense
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.5.3 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 IBM Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Product Launches and Product Expansions:
10.2.5.3 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Microsoft Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Acquisition and Mergers:
10.3.6 SWOT Analysis
10.4 SAS Institute, Inc.
10.4.1 Company Overview
10.4.2 Recent strategies and developments:
10.4.2.1 Partnerships, Collaborations, and Agreements:
10.4.2.2 Acquisition and Mergers:
10.4.3 SWOT Analysis
10.5 SAP SE
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.6 SWOT Analysis
10.6 Hewlett Packard Enterprise Company
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Acquisition and Mergers:
10.6.6 SWOT Analysis
10.7 Tata Consultancy Services Ltd.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expenses
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.6 SWOT Analysis
10.8 Google LLC (Alphabet Inc.)
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Product Launches and Product Expansions:
10.8.6 SWOT Analysis
10.9 3M Company
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 SWOT Analysis
10.10. Tibco Software, Inc. (Vista Equity Partners)
10.10.1 Company Overview
10.10.2 SWOT Analysis

Companies Mentioned

  • SAP SE
  • Google LLC
  • Tibco Software Inc.
  • 3M Company
  • Microsoft Corporation
  • SAS Institute Inc.
  • TATA Consultancy Services Limited
  • IBM Corporation
  • Hewlett Packard Enterprise Development LP
  • Oracle Corporation

Methodology

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