The Asia Pacific Decision Intelligence Market would witness market growth of 18.3% CAGR during the forecast period (2022-2028).
Modern commercial decision-making requires the use of machine learning modeling. Through identifying potential chances for future improvements in outcomes, predictive analytics elevate segments and relationships from Automated Insights to the next level. Telling a story makes it easier to provide in-depth analyses and insights to affect decisions. Automated Data Storytelling, which provides succinct, decision-centric insights, visualizations, and NLG-based summaries, is a characteristic of best-in-class platforms.
Similar to the escalating degrees of autonomy in aided driving, there are three levels during which DI can support business choices. The first level is decision support, where computers offer fundamental capabilities like alerts, analytics, and data exploration to assist human decision-making. People solely choose the choices themselves.
The second decision-making stage is decision augmentation, wherein machines take on a bigger and more active role. They perform data analysis and produce forecasts and recommendations for human decision-makers to examine and confirm. For instance, humans can follow the computer's recommendations by simply doing so or collaborate with the machine to change the recommendation.
The Asia Pacific region holds great promise for decision intelligence, which blends statistics, game theory, psychology, design analytics, artificial intelligence, user experience, machine learning, and data science. Businesses across Asia can very well use engineered decision making for significant and reliable positive decision making, given the obvious shortage of Data Scientists and Engineers and the prospect of massive automation and AI/ML initiatives in the region. Asia is the finest location to be because of this, as well as the CHRO-CIO partnership regarding Super Teams and Digital Transformation in the APAC area. As a result, these elements are fostering the development of the Asia Pacific decision intelligence market.
The China market dominated the Asia Pacific Decision Intelligence Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $2,052.6 million by 2028. The Japan market is estimated to grow a CAGR of 17.6% during (2022 - 2028). Additionally, The India market would experience a CAGR of 19% during (2022 - 2028).
Based on Deployment, the market is segmented into Cloud and On-premise. Based on Component, the market is segmented into Platform, Solution and Services. Based on Platform Type, the market is segmented into Integrated and Standalone. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on Vertical, the market is segmented into BFSI, Telecom & IT, Healthcare, Retail & Consumer Goods, Manufacturing, Government & Defense, Energy & Utilities, Transportation & Logistics 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 Oracle Corporation, IBM Corporation, Microsoft Corporation, Intel Corporation, Google LLC (Alphabet Inc.), Domo, Inc., Board International S.A., Provenir, Pyramid Analytics BV, and H2O.ai, Inc.
Modern commercial decision-making requires the use of machine learning modeling. Through identifying potential chances for future improvements in outcomes, predictive analytics elevate segments and relationships from Automated Insights to the next level. Telling a story makes it easier to provide in-depth analyses and insights to affect decisions. Automated Data Storytelling, which provides succinct, decision-centric insights, visualizations, and NLG-based summaries, is a characteristic of best-in-class platforms.
Similar to the escalating degrees of autonomy in aided driving, there are three levels during which DI can support business choices. The first level is decision support, where computers offer fundamental capabilities like alerts, analytics, and data exploration to assist human decision-making. People solely choose the choices themselves.
The second decision-making stage is decision augmentation, wherein machines take on a bigger and more active role. They perform data analysis and produce forecasts and recommendations for human decision-makers to examine and confirm. For instance, humans can follow the computer's recommendations by simply doing so or collaborate with the machine to change the recommendation.
The Asia Pacific region holds great promise for decision intelligence, which blends statistics, game theory, psychology, design analytics, artificial intelligence, user experience, machine learning, and data science. Businesses across Asia can very well use engineered decision making for significant and reliable positive decision making, given the obvious shortage of Data Scientists and Engineers and the prospect of massive automation and AI/ML initiatives in the region. Asia is the finest location to be because of this, as well as the CHRO-CIO partnership regarding Super Teams and Digital Transformation in the APAC area. As a result, these elements are fostering the development of the Asia Pacific decision intelligence market.
The China market dominated the Asia Pacific Decision Intelligence Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $2,052.6 million by 2028. The Japan market is estimated to grow a CAGR of 17.6% during (2022 - 2028). Additionally, The India market would experience a CAGR of 19% during (2022 - 2028).
Based on Deployment, the market is segmented into Cloud and On-premise. Based on Component, the market is segmented into Platform, Solution and Services. Based on Platform Type, the market is segmented into Integrated and Standalone. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on Vertical, the market is segmented into BFSI, Telecom & IT, Healthcare, Retail & Consumer Goods, Manufacturing, Government & Defense, Energy & Utilities, Transportation & Logistics 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 Oracle Corporation, IBM Corporation, Microsoft Corporation, Intel Corporation, Google LLC (Alphabet Inc.), Domo, Inc., Board International S.A., Provenir, Pyramid Analytics BV, and H2O.ai, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Deployment
- Cloud
- On-premise
By Component
- Platform
- Integrated
- Standalone
- Solution
- Services
By Organization Size
- Large Enterprises
- SMEs
By Vertical
- BFSI
- Telecom & IT
- Healthcare
- Retail & Consumer Goods
- Manufacturing
- Government & Defense
- Energy & Utilities
- Transportation & Logistics
- 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
- Microsoft Corporation
- Intel Corporation
- Google LLC (Alphabet Inc.)
- Domo, Inc
- Board International S.A
- Provenir
- Pyramid Analytics BV
- H2O.ai, Inc
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 & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Decision Intelligence Market, by Deployment
1.4.2 Asia Pacific Decision Intelligence Market, by Component
1.4.3 Asia Pacific Decision Intelligence Market, by Organization Size
1.4.4 Asia Pacific Decision Intelligence Market, by Vertical
1.4.5 Asia Pacific Decision Intelligence 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 & 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 Market Share Analysis, 2021
3.2 Strategies deployed in Decision Intelligence Market
Chapter 4. Asia Pacific Decision Intelligence Market by Deployment
4.1 Asia Pacific Cloud Market by Country
4.2 Asia Pacific On-premise Market by Country
Chapter 5. Asia Pacific Decision Intelligence Market by Component
5.1 Asia Pacific Platform Market by Country
5.2 Asia Pacific Decision Intelligence Market by Platform Type
5.2.1 Asia Pacific Integrated Market by Country
5.2.2 Asia Pacific Standalone Market by Country
5.3 Asia Pacific Solution Market by Country
5.4 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific Decision Intelligence Market by Organization Size
6.1 Asia Pacific Large Enterprises Market by Country
6.2 Asia Pacific SMEs Market by Country
Chapter 7. Asia Pacific Decision Intelligence Market by Vertical
7.1 Asia Pacific BFSI Market by Country
7.2 Asia Pacific Telecom & IT Market by Country
7.3 Asia Pacific Healthcare Market by Country
7.4 Asia Pacific Retail & Consumer Goods Market by Country
7.5 Asia Pacific Manufacturing Market by Country
7.6 Asia Pacific Government & Defense Market by Country
7.7 Asia Pacific Energy & Utilities Market by Country
7.8 Asia Pacific Transportation & Logistics Market by Country
7.9 Asia Pacific Others Market by Country
Chapter 8. Asia Pacific Decision Intelligence Market by Country
8.1 China Decision Intelligence Market
8.1.1 China Decision Intelligence Market by Deployment
8.1.2 China Decision Intelligence Market by Component
8.1.2.1 China Decision Intelligence Market by Platform Type
8.1.3 China Decision Intelligence Market by Organization Size
8.1.4 China Decision Intelligence Market by Vertical
8.2 Japan Decision Intelligence Market
8.2.1 Japan Decision Intelligence Market by Deployment
8.2.2 Japan Decision Intelligence Market by Component
8.2.2.1 Japan Decision Intelligence Market by Platform Type
8.2.3 Japan Decision Intelligence Market by Organization Size
8.2.4 Japan Decision Intelligence Market by Vertical
8.3 India Decision Intelligence Market
8.3.1 India Decision Intelligence Market by Deployment
8.3.2 India Decision Intelligence Market by Component
8.3.2.1 India Decision Intelligence Market by Platform Type
8.3.3 India Decision Intelligence Market by Organization Size
8.3.4 India Decision Intelligence Market by Vertical
8.4 South Korea Decision Intelligence Market
8.4.1 South Korea Decision Intelligence Market by Deployment
8.4.2 South Korea Decision Intelligence Market by Component
8.4.2.1 South Korea Decision Intelligence Market by Platform Type
8.4.3 South Korea Decision Intelligence Market by Organization Size
8.4.4 South Korea Decision Intelligence Market by Vertical
8.5 Singapore Decision Intelligence Market
8.5.1 Singapore Decision Intelligence Market by Deployment
8.5.2 Singapore Decision Intelligence Market by Component
8.5.2.1 Singapore Decision Intelligence Market by Platform Type
8.5.3 Singapore Decision Intelligence Market by Organization Size
8.5.4 Singapore Decision Intelligence Market by Vertical
8.6 Malaysia Decision Intelligence Market
8.6.1 Malaysia Decision Intelligence Market by Deployment
8.6.2 Malaysia Decision Intelligence Market by Component
8.6.2.1 Malaysia Decision Intelligence Market by Platform Type
8.6.3 Malaysia Decision Intelligence Market by Organization Size
8.6.4 Malaysia Decision Intelligence Market by Vertical
8.7 Rest of Asia Pacific Decision Intelligence Market
8.7.1 Rest of Asia Pacific Decision Intelligence Market by Deployment
8.7.2 Rest of Asia Pacific Decision Intelligence Market by Component
8.7.2.1 Rest of Asia Pacific Decision Intelligence Market by Platform Type
8.7.3 Rest of Asia Pacific Decision Intelligence Market by Organization Size
8.7.4 Rest of Asia Pacific Decision Intelligence Market by Vertical
Chapter 9. Company Profiles
9.1 Oracle Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expense
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.5.3 Acquisition and Mergers:
9.1.6 SWOT Analysis
9.2 IBM Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Regional & Segmental Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 Microsoft Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
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 SWOT Analysis
9.5 Google LLC (Alphabet Inc.)
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.6 SWOT Analysis
9.6 Domo, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent strategies and developments:
9.6.5.1 Partnerships, Collaborations, and Agreements:
9.7 Board International S.A.
9.7.1 Company Overview
9.8 Provenir
9.8.1 Company Overview
9.9 Pyramid Analytics BV
9.9.1 Company Overview
9.10. H2O.ai, Inc.
9.10.1 Company Overview
Companies Mentioned
- Oracle Corporation
- IBM Corporation
- Microsoft Corporation
- Intel Corporation
- Google LLC (Alphabet Inc.)
- Domo, Inc.
- Board International S.A.
- Provenir
- Pyramid Analytics BV
- H2O.ai, Inc.
Methodology
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