Asia Pacific Data Science Platform Market Report

Asia Pacific Data Science Platform Market by Component, by Deployment Mode, by Organization Size, by Business Function, by Industry Vertical, Region, Trends, Competitive Analysis, and Growth Opportunities, Key Insights.
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Executive Summary

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

Asia-Pacific Data Science Platform 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 Science Platform segmentation includes Component, Deployment Mode, Organization Size, Business Function, Industry Vertical and Geography.

Market analysis on the basis of Component include Platform, 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 Deployment Mode, the Asia-Pacific Data Science Platform Market analysis covers On-Premises, Cloud.

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

Based on the Business Function, the Asia-Pacific Data Science Platform Market analysis covers Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Others.

Based on the Industry Vertical, the Asia-Pacific Data Science Platform Market analysis covers Banking, Financial Services, and Insurance, Telecom and IT, Retail and Ecommerce, Healthcare and Life Sciences, Manufacturing, Energy and Utilities, Media and Entertainment, Transportation and Logistics, Government and Defense, Others.

Key companies operating in the market include Microsoft, IBM, Google, SAS Institute, Altair, Cloudera, Alteryx 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, Deployment Mode, Organization Size, Business Function, Industry Vertical

Countries covered

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

Companies Covered

Microsoft, IBM, Google, SAS Institute, Altair, Cloudera, Alteryx, Databricks, Wolfram, MathWorks, RapidMiner, Anaconda, Bridgei2i, Rexer Analytics, Domino Data Lab, Dataiku, Civis Analytics, H2O.Ai, RStudio, Rapid Insight, SAP

The Asia-Pacific Data Science Platform Market is segmented into the following categories:

Asia-Pacific Data Science Platform Market by Component:

    Asia-Pacific Data Science Platform Market by Deployment Mode:

      Asia-Pacific Data Science Platform Market by Organization Size:

        Asia-Pacific Data Science Platform Market by Business Function:

          Asia-Pacific Data Science Platform Market by Industry Vertical:

          • Banking, Financial Services, and Insurance

          • Telecom and IT

          • Government and Defense

          • Others

          Table of Contents

          1. Executive Summary

          2. Asia-Pacific Data Science Platform Market Overview

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

            1. Industry Value Chain Analysis
            2. Key Companies at each phase of Value Chain
            3. Industry Trend Analysis
          4. Asia-Pacific Data Science Platform 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 Science Platform Market Key Innovation & Trends
            6. Pricing Patterns (Company & Product Type)
          5. Asia-Pacific Data Science Platform Market: Component

            1. Introduction
            2. Platform: Market Trends, Size, and Forecast (2017-2026)

              1. Platform: Market Driver
            3. Services: Market Trends, Size, and Forecast (2017-2026)

              1. Managed Services
              2. Professional Services
          6. Asia-Pacific Data Science Platform Market: Deployment Mode

            1. Introduction
            2. On-Premises: Market Trends, Size, and Forecast (2017-2026)

              1. On-Premises: Market Drivers
            3. Cloud: Market Trends, Size, and Forecast (2017-2026)

              1. Cloud: Market Drivers
          7. Asia-Pacific Data Science Platform Market: Organization Size

            1. Introduction
            2. Large Enterprises: Market Trends, Size, and Forecast (2017-2026)

              1. Large Enterprises: Market Drivers
            3. Small and Medium-Sized Enterprises: Market Trends, Size, and Forecast (2017-2026)

              1. Small and Medium-Sized Enterprises: Market Driver
          8. Asia-Pacific Data Science Platform Market: Business Function

            1. Introduction
            2. Marketing: Market Trends, Size, and Forecast (2017-2026)

              1. Marketing: Market Drivers
            3. Sales: Market Trends, Size, and Forecast (2017-2026)

              1. Sales: Market Drivers
            4. Logistics: Market Trends, Size, and Forecast (2017-2026)

              1. Logistics: Market Drivers
            5. Finance and Accounting: Market Trends, Size, and Forecast (2017-2026)

              1. Finance and Accounting: Market Drivers
            6. Customer Support: Market Trends, Size, and Forecast (2017-2026)

              1. Customer Support: Market Drivers
            7. Others: Market Trends, Size, and Forecast (2017-2026)

              1. Others: Market Drivers
          9. Asia-Pacific Data Science Platform Market: Industry Vertical

            1. Introduction
            2. Banking, Financial Services, and Insurance: Market Trends, Size, and Forecast (2017-2026)
            3. Telecom and IT: Market Trends, Size, and Forecast (2017-2026)
            4. Retail and Ecommerce: Market Trends, Size, and Forecast (2017-2026)

              1. Retail and Ecommerce: Market Drivers
            5. Healthcare and Life Sciences: Market Trends, Size, and Forecast (2017-2026)

              1. Healthcare and Life Sciences: Market Drivers
            6. Manufacturing: Market Trends, Size, and Forecast (2017-2026)

              1. Manufacturing: Market Drivers
            7. Energy and Utilities: Market Trends, Size, and Forecast (2017-2026)

              1. Energy and Utilities: Market Drivers
            8. Media and Entertainment: Market Trends, Size, and Forecast (2017-2026)

              1. Media and Entertainment: Market Drivers
            9. Transportation and Logistics: Market Trends, Size, and Forecast (2017-2026)

              1. Transportation and Logistics: Market Driver
            10. Government and Defense: Market Trends, Size, and Forecast (2017-2026)
            11. Others: Market Trends, Size, and Forecast (2017-2026)
          10. Asia-Pacific Data Science Platform 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)
          11. Asia-Pacific Data Science Platform Market: Company Analysis

            1. Introduction
            2. Microsoft

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

            4. Google

            5. SAS Institute

            6. Altair

            7. Cloudera

            8. Alteryx

            9. Databricks

            10. Wolfram

            11. MathWorks

            12. RapidMiner

            13. Anaconda

            14. Bridgei2i

            15. Rexer Analytics

            16. Domino Data Lab

            17. Dataiku

            18. Civis Analytics

            19. H2O.Ai

            20. RStudio

            21. Rapid Insight

            22. SAP

          12. Asia-Pacific Data Science Platform 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
          13. Asia-Pacific Data Science Platform Market: Distribution Channel Analysis

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

          15. Research Methodology

          16. Appendix

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

          List of Figures

          Figure 1: Asia-Pacific Data Science Platform Market: Structure

          Figure 2: Asia-Pacific Data Science Platform Market: Value Chain Analysis

          Figure 3: Asia-Pacific Data Science Platform Market: Porter's Five Forces Model

          Figure 4: Asia-Pacific Data Science Platform Market: Market Dynamics

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

          Figure 6: Asia-Pacific Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Figure 7: Asia-Pacific Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Figure 8: Asia-Pacific Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Figure 9: Asia-Pacific Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Figure 10: China Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Figure 11: China Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Figure 12: China Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

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

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

          Figure 15: Japan Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Figure 16: Japan Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Figure 17: Japan Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Figure 18: Japan Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Figure 19: Japan Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Figure 20: India Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Figure 21: India Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Figure 22: India Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Figure 23: India Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Figure 24: India Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Figure 25: Southeast Asia Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Figure 26: Southeast Asia Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Figure 27: Southeast Asia Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Figure 28: Southeast Asia Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Figure 29: Southeast Asia Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Figure 30: Australia & New Zealand Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Figure 31: Australia & New Zealand Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Figure 32: Australia & New Zealand Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Figure 33: Australia & New Zealand Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Figure 34: Australia & New Zealand Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Figure 35: Rest of Asia-Pacific Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Figure 36: Rest of Asia-Pacific Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Figure 37: Rest of Asia-Pacific Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Figure 38: Rest of Asia-Pacific Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Figure 39: Rest of Asia-Pacific Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          List of Tables

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

          Table 2: Asia-Pacific Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Table 3: Asia-Pacific Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Table 4: Asia-Pacific Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Table 5: Asia-Pacific Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Table 6: China Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Table 7: China Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Table 8: China Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

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

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

          Table 11: Japan Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Table 12: Japan Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Table 13: Japan Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Table 14: Japan Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Table 15: Japan Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Table 16: India Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Table 17: India Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Table 18: India Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Table 19: India Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Table 20: India Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Table 21: Southeast Asia Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Table 22: Southeast Asia Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Table 23: Southeast Asia Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Table 24: Southeast Asia Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Table 25: Southeast Asia Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Table 26: Australia & New Zealand Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Table 27: Australia & New Zealand Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Table 28: Australia & New Zealand Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Table 29: Australia & New Zealand Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Table 30: Australia & New Zealand Data Science Platform Market, By Industry Vertical, 2017-2026 (USD Million)

          Table 31: Rest of Asia-Pacific Data Science Platform Market, By Component, 2017-2026 (USD Million)

          Table 32: Rest of Asia-Pacific Data Science Platform Market, By Deployment Mode, 2017-2026 (USD Million)

          Table 33: Rest of Asia-Pacific Data Science Platform Market, By Organization Size, 2017-2026 (USD Million)

          Table 34: Rest of Asia-Pacific Data Science Platform Market, By Business Function, 2017-2026 (USD Million)

          Table 35: Rest of Asia-Pacific Data Science Platform Market, By Industry Vertical, 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 Science Platform 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 Science Platform 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 Science Platform 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 Science Platform 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 Science Platform 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 Science Platform 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 Science Platform 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 Science Platform 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 Science Platform 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.