The Asia Pacific Data Mining Tools Market should witness market growth of 13.7% CAGR during the forecast period (2023-2030).
Factors influencing the market's expansion include rising public investment for IT infrastructure development, higher acceptance of machine learning technology across different end-user industries, regulatory and compliance demands, the increasing need for producing insights from raw data, and regulatory and compliance demands.
By examining data patterns and converting them into information, data mining technologies enable businesses to extract meaningful information from large data sets containing unprocessed data. Companies that want to gain significant industry momentum utilize data mining managed services. These managed services offer numerous advantages to firms and help them enhance their primary competencies. Managed service providers extract insights from obscure data trends by mining and analysing enterprise data. As a result, they help businesses deliver customer-centric performance and contribute value to their processes.
Data mining enables retail corporations to offer discounts on products, attracting more consumers, which will create novel prospects for the retail industry's market expansion. A rise in demand for artificial intelligence and machine learning technologies is also fuelling the expansion of the market.
In South Korea, the Ministry of Science and ICT ("MSIT"; Minister Lim Hyesook) briefed the public on the outcomes and major achievements of the Digital New Deal over the past year of its implementation and outlined the key policy directions for Digital New Deal 2.0. With the participation of approximately 170,000 domestic businesses, the size of the nation's data sector increased substantially (by more than 14.3%), and 2.2 million Koreans received a variety of digital transformation advantages. The regional market is expected to have growth prospects due to the region's increasing digitalization and the consequent rise in data generation.
The China market dominated the Asia Pacific Data Mining Tools Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $187 million by 2030. The Japan market is registering a CAGR of 12.9% during (2023-2030). Additionally, India's market would showcase a CAGR of 14.4% during (2023-2030).
Based on Component, the market is segmented into Tools (Without Services), and Services. Based on Application, the market is segmented into Supply Chain & Procurement, Marketing, Business Transaction, Intrusion Detection, and Others. Based on Enterprise Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On premise, and Cloud. Based on End-use, the market is segmented into Telecom & IT, BFSI, Manufacturing, Healthcare & Lifesciences, Retail, Education, 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 stakeholders of the market. Key companies profiled in the report include Oracle Corporation, IBM corporation, KNIME AG, Altair Engineering, Inc. (IMG Companies, LLC), Microsoft Corporation, Sisense, Inc., Google, LLC (Kaggle Inc.), SAS Institute, Inc., SAP SE and Teradata Corporation.
Factors influencing the market's expansion include rising public investment for IT infrastructure development, higher acceptance of machine learning technology across different end-user industries, regulatory and compliance demands, the increasing need for producing insights from raw data, and regulatory and compliance demands.
By examining data patterns and converting them into information, data mining technologies enable businesses to extract meaningful information from large data sets containing unprocessed data. Companies that want to gain significant industry momentum utilize data mining managed services. These managed services offer numerous advantages to firms and help them enhance their primary competencies. Managed service providers extract insights from obscure data trends by mining and analysing enterprise data. As a result, they help businesses deliver customer-centric performance and contribute value to their processes.
Data mining enables retail corporations to offer discounts on products, attracting more consumers, which will create novel prospects for the retail industry's market expansion. A rise in demand for artificial intelligence and machine learning technologies is also fuelling the expansion of the market.
In South Korea, the Ministry of Science and ICT ("MSIT"; Minister Lim Hyesook) briefed the public on the outcomes and major achievements of the Digital New Deal over the past year of its implementation and outlined the key policy directions for Digital New Deal 2.0. With the participation of approximately 170,000 domestic businesses, the size of the nation's data sector increased substantially (by more than 14.3%), and 2.2 million Koreans received a variety of digital transformation advantages. The regional market is expected to have growth prospects due to the region's increasing digitalization and the consequent rise in data generation.
The China market dominated the Asia Pacific Data Mining Tools Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $187 million by 2030. The Japan market is registering a CAGR of 12.9% during (2023-2030). Additionally, India's market would showcase a CAGR of 14.4% during (2023-2030).
Based on Component, the market is segmented into Tools (Without Services), and Services. Based on Application, the market is segmented into Supply Chain & Procurement, Marketing, Business Transaction, Intrusion Detection, and Others. Based on Enterprise Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On premise, and Cloud. Based on End-use, the market is segmented into Telecom & IT, BFSI, Manufacturing, Healthcare & Lifesciences, Retail, Education, 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 stakeholders of the market. Key companies profiled in the report include Oracle Corporation, IBM corporation, KNIME AG, Altair Engineering, Inc. (IMG Companies, LLC), Microsoft Corporation, Sisense, Inc., Google, LLC (Kaggle Inc.), SAS Institute, Inc., SAP SE and Teradata Corporation.
Scope of the Study
By Component
- Tools (Without Services)
- Services
By Application
- Supply Chain & Procurement
- Marketing
- Business Transaction
- Intrusion Detection
- Others
By Enterprise Size
- Large Enterprises
- Small & Medium Enterprises
By Deployment Type
- On premise
- Cloud
By End-use
- Telecom & IT
- BFSI
- Manufacturing
- Healthcare & Lifesciences
- Retail
- Education
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Oracle Corporation
- IBM corporation
- KNIME AG
- Altair Engineering, Inc. (IMG Companies, LLC)
- Microsoft Corporation
- Sisense, Inc.
- Google, LLC (Kaggle Inc.)
- SAS Institute, Inc.
- SAP SE
- Teradata 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
Chapter 2. Market At a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA Data Mining Tools Market by Component
Chapter 6. LAMEA Data Mining Tools Market by Application
Chapter 7. LAMEA Data Mining Tools Market by Enterprise Size
Chapter 8. LAMEA Data Mining Tools Market by Deployment Type
Chapter 9. LAMEA Data Mining Tools Market by End-use
Chapter 10. LAMEA Data Mining Tools Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Oracle Corporation
- IBM corporation
- KNIME AG
- Altair Engineering, Inc. (IMG Companies, LLC)
- Microsoft Corporation
- Sisense, Inc.
- Google, LLC (Kaggle Inc.)
- SAS Institute, Inc.
- SAP SE
- Teradata Corporation
Methodology
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