Asia Pacific Data Mining Tools Market Report

Asia Pacific Data Mining Tools Market by Component, by Service, by Business Function, by Industry Vertical, by Deployment Type, by Organization Size, Region, Trends, Competitive Analysis, and Growth Opportunities, Key Insights.
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Executive Summary

Asia-Pacific Data Mining Tools Market from Consainsights analyses the Asia-Pacific Data Mining Tools Market in the Technology & Media industry over the forecast period to 2026.

Asia-Pacific Data Mining Tools research report from Consainsights outlines the detailed strategic analysis, trends, market opportunities, growth prospects, industry and market challenges and sustainable solutions to sustain in the competitive environment.

Asia-Pacific Data Mining Tools segmentation includes Component, Service, Business Function, Industry Vertical, Deployment Type, Organization Size and Geography.

Market analysis on the basis of Component include Tools, Services. This segmentation encompasses the key innovations and micro & macro trends, companies/manufacturers operating in this space along with their usage and penetration with respect to the wide range of End Users. Additionally, market sizing information along with the key factors such as market drivers, restraints, opportunities and challenges which are likely to be influencing the market growth are outlined in this report.

Based on the Service, the Asia-Pacific Data Mining Tools Market analysis covers Managed Services, Consulting and Implementation, Others.

Based on the Business Function, the Asia-Pacific Data Mining Tools Market analysis covers Marketing, Finance, Supply Chain and Logistics, Operations.

Based on the Industry Vertical, the Asia-Pacific Data Mining Tools Market analysis covers Retail, Banking, Financial Services, and Insurance, Healthcare and Life Sciences, Telecom and IT, Government and Defense, Energy and Utilities, Manufacturing, Others.

Based on the Deployment Type, the Asia-Pacific Data Mining Tools Market analysis covers On-Premises, Cloud.

Based on the Organization Size, the Asia-Pacific Data Mining Tools Market analysis covers Large Enterprises, Small and Medium-Sized Enterprises.

Key companies operating in the market include IBM, SAS Institute, Oracle, Microsoft, Teradata, MathWorks, H2O.ai and so on. This report covers the detailed analysis of the company profiles such as business segments, product portfolio, key brand insights and growth strategies adopted, company SWOT and Strategy analysis along with the financial analysis and analyst insights on the key companies operating in this market.

Moreover, the competitive analysis includes the companies deals such as Mergers, Acquisitions, Partnerships and so on along with the expansion areas focusing on the additional geographies, future insights for success and market share analysis. Major players strategies include the launch of the innovative product lines along with the emphasis on the partnerships and acquisitions to standardize their market share in the market space.

Market Research methodology includes the triangulation of the data from the data sources such as Primary Market Research approach and Secondary Market Research Approach along with the data from the trade bodies and industry standard publications and data sources. Primary inputs from the industry experts and the market respondents from the respective industries to obtain very critical information to assess the future growth prospects of the market. The final data is triangulated and thoroughly validated considering all the data sources using the bottom-up and the top-down approaches to estimate the market sizing of the individual segments.

Report Metric

Details

Market size available for years

2017-2026

Base year considered

2020

Forecast period

2021-2026

Forecast units

Value (USD Billion)

Segments covered

Component, Service, Business Function, Industry Vertical, Deployment Type, Organization Size

Countries covered

China, Japan, India, Southeast Asia, Australia & New Zealand, Rest of Asia-Pacific

Companies Covered

IBM, SAS Institute, Oracle, Microsoft, Teradata, MathWorks, H2O.ai, Intel, Alteryx, SAP, Rapidminer, Knime, FICO, Salford Systems, BlueGranite, Angoss Software, Megaputer Intelligence, Biomax Informatics, Frontline Systems, Suntec India, Dataiku, Wolfram Research, Reltio, SenticNet, Business Insight

The Asia-Pacific Data Mining Tools Market is segmented into the following categories:

Asia-Pacific Data Mining Tools Market by Component:

  • Tools

  • Services

Asia-Pacific Data Mining Tools Market by Service:

  • Managed Services

  • Consulting and Implementation

  • Others

Asia-Pacific Data Mining Tools Market by Business Function:

  • Marketing

  • Finance

  • Supply Chain and Logistics

  • Operations

Asia-Pacific Data Mining Tools Market by Industry Vertical:

  • Retail

  • Banking, Financial Services, and Insurance

  • Healthcare and Life Sciences

  • Telecom and IT

  • Government and Defense

  • Energy and Utilities

  • Manufacturing

  • Others

Asia-Pacific Data Mining Tools Market by Deployment Type:

  • On-Premises

  • Cloud

Asia-Pacific Data Mining Tools Market by Organization Size:

  • Large Enterprises

  • Small and Medium-Sized Enterprises

Table of Contents

  1. Executive Summary

  2. Asia-Pacific Data Mining Tools Market Overview

    1. Asia-Pacific Data Mining Tools Market Definition & Scope
    2. Currency, Year and Forecasts Overview
    3. Asia-Pacific Data Mining Tools Market 360° Synopsis: Overview
  3. Asia-Pacific Data Mining Tools Industry Analysis

    1. Industry Value Chain Analysis
    2. Key Companies at each phase of Value Chain
    3. Industry Trend Analysis
  4. Asia-Pacific Data Mining Tools Market Analysis

    1. Drives, Restraints, Opportunities and Challenges Impact Analysis
    2. Porter’s Five Force Model Analysis
    3. PESTLE Analysis
    4. BPS Analysis
    5. Asia-Pacific Data Mining Tools Market Key Innovation & Trends
    6. Pricing Patterns (Company & Product Type)
  5. Asia-Pacific Data Mining Tools Market: Component

    1. Introduction
    2. Tools: Market Trends, Size, and Forecast (2017-2026)
    3. Services: Market Trends, Size, and Forecast (2017-2026)
  6. Asia-Pacific Data Mining Tools Market: Service

    1. Introduction
    2. Managed Services: Market Trends, Size, and Forecast (2017-2026)
    3. Consulting and Implementation: Market Trends, Size, and Forecast (2017-2026)
    4. Others: Market Trends, Size, and Forecast (2017-2026)
  7. Asia-Pacific Data Mining Tools Market: Business Function

    1. Introduction
    2. Marketing: Market Trends, Size, and Forecast (2017-2026)
    3. Finance: Market Trends, Size, and Forecast (2017-2026)
    4. Supply Chain and Logistics: Market Trends, Size, and Forecast (2017-2026)
    5. Operations: Market Trends, Size, and Forecast (2017-2026)
  8. Asia-Pacific Data Mining Tools Market: Industry Vertical

    1. Introduction
    2. Retail: Market Trends, Size, and Forecast (2017-2026)
    3. Banking, Financial Services, and Insurance: Market Trends, Size, and Forecast (2017-2026)
    4. Healthcare and Life Sciences: Market Trends, Size, and Forecast (2017-2026)
    5. Telecom and IT: Market Trends, Size, and Forecast (2017-2026)
    6. Government and Defense: Market Trends, Size, and Forecast (2017-2026)
    7. Energy and Utilities: Market Trends, Size, and Forecast (2017-2026)
    8. Manufacturing: Market Trends, Size, and Forecast (2017-2026)
    9. Others: Market Trends, Size, and Forecast (2017-2026)
  9. Asia-Pacific Data Mining Tools Market: Deployment Type

    1. Introduction
    2. On-Premises: Market Trends, Size, and Forecast (2017-2026)
    3. Cloud: Market Trends, Size, and Forecast (2017-2026)
  10. Asia-Pacific Data Mining Tools Market: Organization Size

    1. Introduction
    2. Large Enterprises: Market Trends, Size, and Forecast (2017-2026)
    3. Small and Medium-Sized Enterprises: Market Trends, Size, and Forecast (2017-2026)
  11. Asia-Pacific Data Mining Tools Market: Country

    1. Introduction
    2. China: Market Trends, Size, and Forecast (2017-2026)
    3. Japan: Market Trends, Size, and Forecast (2017-2026)
    4. India: Market Trends, Size, and Forecast (2017-2026)
    5. Southeast Asia: Market Trends, Size, and Forecast (2017-2026)
    6. Australia & New Zealand: Market Trends, Size, and Forecast (2017-2026)
    7. Rest of Asia-Pacific: Market Trends, Size, and Forecast (2017-2026)
  12. Asia-Pacific Data Mining Tools Market: Company Analysis

    1. Introduction
    2. IBM

      1. Overview
      2. Business Portfolio
      3. Product Portfolio
      4. Key Brands Insights
      5. Company SWOT & Strategic Analysis
      6. Company Financials
      7. Analyst Insights
    3. SAS Institute

    4. Oracle

    5. Microsoft

    6. Teradata

    7. MathWorks

    8. H2O.ai

    9. Intel

    10. Alteryx

    11. SAP

    12. Rapidminer

    13. Knime

    14. FICO

    15. Salford Systems

    16. BlueGranite

    17. Angoss Software

    18. Megaputer Intelligence

    19. Biomax Informatics

    20. Frontline Systems

    21. Suntec India

    22. Dataiku

    23. Wolfram Research

    24. Reltio

    25. SenticNet

    26. Business Insight

  13. Asia-Pacific Data Mining Tools Market: Competitive Analysis

    1. Strategic Dashboard of Top Market Players
    2. Companies Deals (Mergers, Partnerships, Acquisitions, JVs)
    3. Expansion Areas (Based on Company Analysis)
    4. Market Share Analysis
  14. Asia-Pacific Data Mining Tools Market: Distribution Channel Analysis

    1. Distributor Type Analysis
    2. Major Distributors (Key Countries)
    3. Future Growth Prospects
  15. Industry & Analysts Insights for Success

  16. Research Methodology

  17. Appendix

    1. List of Tables
    2. List of Figures
    3. Available Customizations
    4. Related Reports

List of Figures

Figure 1: Asia-Pacific Data Mining Tools Market: Structure

Figure 2: Asia-Pacific Data Mining Tools Market: Value Chain Analysis

Figure 3: Asia-Pacific Data Mining Tools Market: Porter's Five Forces Model

Figure 4: Asia-Pacific Data Mining Tools Market: Market Dynamics

Figure 5: Asia-Pacific Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Figure 6: Asia-Pacific Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Figure 7: Asia-Pacific Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Figure 8: Asia-Pacific Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Figure 9: Asia-Pacific Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Figure 10: Asia-Pacific Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Figure 11: China Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Figure 12: China Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Figure 13: China Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Figure 14: China Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Figure 15: China Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Figure 16: China Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Figure 17: Japan Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Figure 18: Japan Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Figure 19: Japan Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Figure 20: Japan Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Figure 21: Japan Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Figure 22: Japan Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Figure 23: India Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Figure 24: India Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Figure 25: India Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Figure 26: India Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Figure 27: India Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Figure 28: India Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Figure 29: Southeast Asia Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Figure 30: Southeast Asia Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Figure 31: Southeast Asia Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Figure 32: Southeast Asia Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Figure 33: Southeast Asia Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Figure 34: Southeast Asia Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Figure 35: Australia & New Zealand Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Figure 36: Australia & New Zealand Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Figure 37: Australia & New Zealand Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Figure 38: Australia & New Zealand Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Figure 39: Australia & New Zealand Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Figure 40: Australia & New Zealand Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Figure 41: Rest of Asia-Pacific Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Figure 42: Rest of Asia-Pacific Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Figure 43: Rest of Asia-Pacific Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Figure 44: Rest of Asia-Pacific Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Figure 45: Rest of Asia-Pacific Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Figure 46: Rest of Asia-Pacific Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

List of Tables

Table 1: Asia-Pacific Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Table 2: Asia-Pacific Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Table 3: Asia-Pacific Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Table 4: Asia-Pacific Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Table 5: Asia-Pacific Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Table 6: Asia-Pacific Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Table 7: China Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Table 8: China Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Table 9: China Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Table 10: China Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Table 11: China Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Table 12: China Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Table 13: Japan Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Table 14: Japan Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Table 15: Japan Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Table 16: Japan Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Table 17: Japan Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Table 18: Japan Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Table 19: India Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Table 20: India Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Table 21: India Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Table 22: India Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Table 23: India Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Table 24: India Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Table 25: Southeast Asia Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Table 26: Southeast Asia Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Table 27: Southeast Asia Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Table 28: Southeast Asia Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Table 29: Southeast Asia Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Table 30: Southeast Asia Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Table 31: Australia & New Zealand Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Table 32: Australia & New Zealand Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Table 33: Australia & New Zealand Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Table 34: Australia & New Zealand Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Table 35: Australia & New Zealand Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Table 36: Australia & New Zealand Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Table 37: Rest of Asia-Pacific Data Mining Tools Market, By Component, 2017-2026 (USD Million)

Table 38: Rest of Asia-Pacific Data Mining Tools Market, By Service, 2017-2026 (USD Million)

Table 39: Rest of Asia-Pacific Data Mining Tools Market, By Business Function, 2017-2026 (USD Million)

Table 40: Rest of Asia-Pacific Data Mining Tools Market, By Industry Vertical, 2017-2026 (USD Million)

Table 41: Rest of Asia-Pacific Data Mining Tools Market, By Deployment Type, 2017-2026 (USD Million)

Table 42: Rest of Asia-Pacific Data Mining Tools Market, By Organization Size, 2017-2026 (USD Million)

Research Methodology

Introduction

This research study extensively involved secondary and primary data sources. Initially, all the important terms and processes related to the Asia Pacific Data Mining Tools market were identified. Then, each of these terms was clearly defined and relationships were established among them in the form of parent market, peer markets, and child markets. The entire value-chain was also studied to distinguish various solution and service providers that are operating in the global Asia Pacific Data Mining Tools market and how the services are being delivered or consumed in every phase of the value chain. The overall objective of this process was to identify the important segments of the Asia Pacific Data Mining Tools market that meet two important criteria– 1) their revenue is derivable using assumptions and expert opinions 2) their definitions are unique and non-overlapping.

After defining the market segments, the supply side analysis was carried out where the individual players operating in various segments of the Asia Pacific Data Mining Tools market were identified and their revenues were analyzed to derive the segmental shares. The derived shares were also validated through an extensive demand side analysis. The below figure depicts different phases of the report production process.

Phases of the report production process

Secondary Research

This research study was initiated with detailed study of information available in the public domain and paid databases. Various secondary sources that were referred during this study include company websites, product descriptions, whitepapers, survey papers, annual reports, investor presentations, press releases, blogs, news, journals, magazines; audit reports, articles published by associations, and paid databases, such as Factiva, D&B Hoovers, and Bloomberg BusinessWeek. The key objective behind secondary research was to obtain information regarding the market evolution, ecosystem, value-chain, total pool of solution and service providers, market segmentation, recent developments, upcoming opportunities and challenges, and various factors that are impacting the market. These data were further validated through primary research.

Primary Research

In primary research, various industry experts from both supply and demand side were interviewed to obtain critical information on competitive landscape, vendor shares, value-chain, pricing strategy, and adoption trends. The primary sources include industry experts, such as CXOs, Vice Presidents, Marketing Directors, Technology Directors, and Business Development Managers of companies that are operating in the global Asia Pacific Data Mining Tools market. Primary research was also conducted to validate the market segmentations, industry trends, market size, future prospects for market growth, and key strategies adopted by the major players to gain leading position in the market.

Market Size Estimation And Forecasting

This research study followed two approaches to estimate and forecast the size of global Asia Pacific Data Mining Tools market and its sub-segments– top-down and bottom-up approach. Important data those were used during this process include list of top players operating in the market, their share in the market, and total pool of solution and service providers. This entire process includes the study of annual and financial reports and extensive interview with industry experts across the value-chain. All important factors that are impacting the market were analyzed and verified through primary research. These data were consolidated and processed through an in-house developed market intelligence engine to derive the final quantitative data.

Top-Down Approach

The top-down approach was employed to derive the global Asia Pacific Data Mining Tools market size through vendor share analysis. More than 40 key players were analyzed and their total contribution in the global market size was found to be around 70%. Thus, remaining 30% was extrapolated to arrive at the global Asia Pacific Data Mining Tools market size. The regional and country level performance of these top players was also studied to derive the market share for different regions and countries.

Phases of the report production process

Bottom-Up Approach

After the top-down approach, bottom-up approach was employed to derive the share and size for other market segments. Initially, the segmental shares were estimated at the country level. Then, the country- level market numbers were added to derive the regional sizes and finally, by adding the regional sizes, global sizes of all the market segments were calculated.

Phases of the report production process

List of Assumptions

  • Market Estimates and Forecasting: The market is estimated and forecasted in the realistic manner, instead of optimistic/aggressive way.
  • Currency: All the revenue-related market numbers are shown in globally accepted currency, USD.
  • Exchange Rates and Currency Conversion: For conversion of other currencies to USD, the average exchange rate for that particular year was used. OANDA website was used for all currency conversions in this market study.
  • Dollar Fluctuation: Dollar fluctuations are assumed to be moderate and will not affect the market forecasts during the forecast period.
  • Global Economic Conditions: The global economic conditions are assumed to be stable enabling the market to grow with similar rate as it’s been growing from last four years.
  • Qualitative to Quantitative Data Conversion: This market study extensively covers numerous factors that are impacting the global Asia Pacific Data Mining Tools market. In certain cases, direct quantitative data were not available to clearly indicate their influencing power on the market. To handle such cases, a rating mechanism was applied that was purely based on the understanding of the experts involved in the study.