Global Decision Intelligence Market Overview
According to SPER Market Research, the Global Decision Intelligence Market is estimated to reach USD 52.47 billion by 2032 with a CAGR of 18.03%.
Decision intelligence empowers companies to make quick, informed decisions. It blends artificial intelligence with other technologies, including data science, management science, behavioural science, etc. Decision intelligence also displays how one decision affects numerous people, processes, and KPIs. Every decision intelligence system is built around artificial intelligence. Machine learning, deep learning, data visualisation, business intelligence, and predictive modelling are just a few of the artificial intelligence techniques that must be used to create an effective decision intelligence model. Decision intelligence solutions are increasingly dependent on business intelligence, which provides accurate and current data and analysis for many activities. This can be used by decision-makers to make knowledgeable, data-driven decisions. Company intelligence increases the flexibility of business processes by allowing executives to analyse and present data using self-service analytics without the need for technical support. Many businesses are using automated machine learning. Applying conventional machine learning models to actual business issues is fairly difficult. The most effective approach is to use automated machine learning, which enables non-ML specialists to use ML methods without needing to be ML whizzes. In SMEs, decision intelligences are essential. Businesses must be able to gather data from millions of individuals and analyse the findings in nearly real-time in order to create databases.
Impact of COVID-19 on the Global Decision Intelligence Market
Businesses are consistently attempting to improve the efficiency of their day-to-day processes and reduce biases using decision intelligence that supports automation without undervaluing the significance of human judgement, expertise, and instinct. Decision intelligence enables businesses to accomplish more with less by using data analytics, ML, and AI for better decision-making. The COVID-19 incident made it clear that one of the most cutting-edge analytics methods depends on principles of behaviours and patterns repeated on a regular basis. The customer's perspective is altered by the patterns that are presented, which are shown through data and even recommended during identification. All offices, educational institutions, and organisations had to be put on hold due to the COVID-19 eruption during the early COVID-19 era. Decision intelligence accelerates critical business processes and aids in data management to obtain real-time data insights. To acquire advanced analytics and metrics, cost savings from streamlined procedures, higher operational efficiency, accurate market trend prediction, improved information security, and better decision-making, decision intelligence may be very beneficial to improve the customer information of SMEs.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2019-2032 |
| Base year considered | 2021 |
| Forecast period | 2022-2032 |
| Segments covered | By Component, By Solutions, By Services, By Deployment Type, By Organization Size, By Application, By End User
|
| Regions covered | Asia-Pacific, Europe, Middle East & Africa, North America, Latin America
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| Companies Covered | Board International, Cerebra, Clarifai, Course5i, Diwo.ai, Domo, Google, H2O.ai, IBM, Intel, Metaphacts, Microsoft, Oracle, Pace Revenue, Paretos, Peak.ai, Provenir, Pyramid Analytics, Quantellia, System Technology Group, Tellius.
|
Global Decision Intelligence Market Segmentation:
1. By Component:
- Platform
- Solutions
- Services
2. By Solutions:
3. By Services:
- Consulting
- Deployment and Integrations
- Support and Maintenance
4. By Deployment Type:
5. By Organization Size:
6. By Application:
- Demand Forecasting
- Discovering Cause
- Logistics Optimization
7. End User:
- BFSI
- Retail & eCommerce
- Government & Defense
- Healthcare & Life Sciences
- Manufacturing
8. By Region:
- Asia-Pacific
- Europe
- Middle East
- Africa
- North America
- Latin America
Key Topics Covered in the Report:
- Size of Global Decision Intelligence Market (FY’2019-FY’2032)
- Overview of Global Decision Intelligence Market
- Segmentation of Global Decision Intelligence Market By Component (Platform, Solutions, Services)
- Segmentation of Global Decision Intelligence Market By Solutions (Integrated, Standalone)
- Segmentation of Global Decision Intelligence Market By Services (Consulting, Deployment and Integrations, Support Maintenance)
- Segmentation of Global Decision Intelligence Market By Deployment Type (Cloud, On-Premises)
- Segmentation of Global Decision Intelligence Market By Organization Size (Large Enterprises, SMEs)
- Segmentation of Global Decision Intelligence Market By Application (Demand Forecasting, Discovering Cause, Logistics Optimization)
- Segmentation of Global Decision Intelligence Market By End User (BFSI, Retail & eCommerce, Government & Defense, Healthcare & Life Sciences, Manufacturing, Telecom, IT, Energy & Utilities, Transportation & Logistics, Other Verticals)
- Statistical Snap of Global Decision Intelligence Market
- Growth Analysis of Global Decision Intelligence Market
- Problems and Challenges in Global Decision Intelligence Market
- Competitive Landscape in the Global Decision Intelligence Market
- Impact of COVID-19 and Demonetization on Global Decision Intelligence Market
- Details on Recent Investment in Global Decision Intelligence Market
- Competitive Analysis of Global Decision Intelligence Market
- Major Players in the Global Decision Intelligence Market
- SWOT Analysis of Global Decision Intelligence Market
- Global Decision Intelligence Market Future Outlook and Projections (FY’2019-FY’2032)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1 Research data source
2.1.1 Secondary data
2.1.2 Primary data
2.1.3 SPER’s internal database
2.1.4 Premium insight from KOL’s
2.2 Market size estimation
2.2.1 Top-down and Bottom-up approach
2.3 Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2. COVID-19 Impacts of the Global Decision Intelligence Market
5. Market variables and outlook
5.1. SWOT analysis
5.1.1 Strengths
5.1.2 Weaknesses
5.1.3 Opportunities
5.1.4 Threats
5.2. PESTEL analysis
5.2.1 Political landscape
5.2.2 Economic landscape
5.2.3 Social landscape
5.2.4 Technological landscape
5.2.5 Environmental landscape
5.2.6 Legal landscape
5.3. PORTER’S five forces analysis
5.3.1 Bargaining power of suppliers
5.3.2 Bargaining power of Buyers
5.3.3 Threat of Substitute
5.3.4 Threat of new entrant
5.3.5 Competitive rivalry
5.4. Heat map analysis
6. Competitive Landscape
6.1. Global Decision Intelligence Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Decision Intelligence Market
7. Global Decision Intelligence Market, By Component, 2019-2032 (USD Million)
7.1. Platform
7.2. Solutions
7.3. Services
8. Global Decision Intelligence Market, By Solutions, 2019-2032 (USD Million)
8.1. Integrated
8.2. Standalone
9. Global Decision Intelligence Market, By Services, 2019-2032 (USD Million)
9.1. Consulting
9.2. Deployment and Integrations
9.3. Support and Maintenance
10. Global Decision Intelligence Market, By Deployment Type, 2019-2032 (USD Million)
10.1. Cloud
10.2. On-premises
11. Global Decision Intelligence Market, By Organization Size, 2019-2032 (USD Million)
11.1. Large Enterprises
11.2. SMEs
12. Global Decision Intelligence Market, By Application, 2019-2032 (USD Million)
12.1. Demand Forecasting
12.2. Discovering Cause
12.3. Logistics Optimization
13. Global Decision Intelligence Market, By End User, 2019-2032 (USD Million)
13.1. BFSI
13.2. Retail & eCommerce
13.3. Government & Defense
13.4. Healthcare & Life Sciences
13.5. Manufacturing
13.6. Telecom
13.7. IT
13.8. Energy & Utilities
13.9. Transportation & Logistics
13.10. Other Verticals
14. Global Decision Intelligence Market, By Region, 2019-2032 (USD Million)
14.1. Global Decision Intelligence Market Size and Market Share by Region (2019-2025)
14.2. Global Decision Intelligence Market Size and Market Share by Region (2026-2032)
14.3. Asia-Pacific
14.3.1. Australia
14.3.2. China
14.3.3. India
14.3.4. Japan
14.3.5. South Korea
14.3.6. Rest of Asia-Pacific
14.4. Europe
14.4.1. France
14.4.2. Germany
14.4.3. Italy
14.4.4. Spain
14.4.5. United Kingdom
14.4.6. Rest of Europe
14.5. Middle East & Africa
14.5.1. Kingdom of Saudi Arabia
14.5.2. United Arab Emirates
14.5.3. Rest of Middle East & Africa
14.6. North America
14.6.1. Canada
14.6.2. Mexico
14.6.3. United States
14.7. Latin America
14.7.1. Argentina
14.7.2. Brazil
14.7.3. Rest of Latin America
15. Company Profiles
15.1. Board International
15.1.1. Company details
15.1.2. Financial outlook
15.1.3. Product summary
15.1.4. Recent developments
15.2. Cerebra
15.2.1. Company details
15.2.2. Financial outlook
15.2.3. Product summary
15.2.4. Recent developments
15.3. Clarifai
15.3.1. Company details
15.3.2. Financial outlook
15.3.3. Product summary
15.3.4. Recent developments
15.4. Course5i
15.4.1. Company details
15.4.2. Financial outlook
15.4.3. Product summary
15.4.4. Recent developments
15.5. Diwo.ai
15.5.1. Company details
15.5.2. Financial outlook
15.5.3. Product summary
15.5.4. Recent developments
15.6. Domo
15.6.1. Company details
15.6.2. Financial outlook
15.6.3. Product summary
15.6.4. Recent developments
15.7. Google
15.7.1. Company details
15.7.2. Financial outlook
15.7.3. Product summary
15.7.4. Recent developments
15.8. H2O.ai
15.8.1. Company details
15.8.2. Financial outlook
15.8.3. Product summary
15.8.4. Recent developments
15.9. IBM
15.9.1. Company details
15.9.2. Financial outlook
15.9.3. Product summary
15.9.4. Recent developments
15.10. Intel
15.10.1. Company details
15.10.2. Financial outlook
15.10.3. Product summary
15.10.4. Recent developments
15.11. Metaphacts
15.11.1. Company details
15.11.2. Financial outlook
15.11.3. Product summary
15.11.4. Recent developments
15.12. Microsoft
15.12.1. Company details
15.12.2. Financial outlook
15.12.3. Product summary
15.12.4. Recent developments
15.13. Oracle
15.13.1. Company details
15.13.2. Financial outlook
15.13.3. Product summary
15.13.4. Recent developments
15.14. Pace Revenue
15.14.1. Company details
15.14.2. Financial outlook
15.14.3. Product summary
15.14.4. Recent developments
15.15. Paretos
15.15.1. Company details
15.15.2. Financial outlook
15.15.3. Product summary
15.15.4. Recent developments
15.16. Peak.ai
15.16.1. Company details
15.16.2. Financial outlook
15.16.3. Product summary
15.16.4. Recent developments
15.17. Provenir
15.17.1. Company details
15.17.2. Financial outlook
15.17.3. Product summary
15.17.4. Recent developments
15.18. Pyramid Analytics
15.18.1. Company details
15.18.2. Financial outlook
15.18.3. Product summary
15.18.4. Recent developments
15.19. Quantellia
15.19.1. Company details
15.19.2. Financial outlook
15.19.3. Product summary
15.19.4. Recent developments
15.20. System Technology Group
15.20.1. Company details
15.20.2. Financial outlook
15.20.3. Product summary
15.20.4. Recent developments
15.21. Tellius
15.21.1. Company details
15.21.2. Financial outlook
15.21.3. Product summary
15.21.4. Recent developments
16. List of Abbreviations
17. Reference Links
18. Conclusion
19. Research Scope
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
