The Global Decision Intelligence Market size is expected to reach $26 billion by 2028, rising at a market growth of 17.5% CAGR during the forecast period.
Decision Intelligence (DI) is the practical application of AI to every aspect of business decision-making. It is outcome-focused and has to meet business goals. As a result, decision intelligence is being used by businesses to optimize every function and boost productivity. Decision Intelligence allows businesses to leverage data and AI to quickly, accurately, and consistently decide how to proceed with various business demands and issues.
It enables data collection and machine learning modeling to forecast precise results for the best business decision-making. It gives businesses the ability to process and forecast data to make more educated decisions at every level of the organization, gain better visibility into their operations, and produce game-changing business results. Major factors anticipated to propel market revenue growth during the forecast period include the requirement to make quick and precise decisions to assure better outcomes and an increasing need for multiple problem-solving solutions.
Going forward, it is anticipated that a major portion of the market revenue growth for decision intelligence will be driven by the growing need to reduce specific risks related to human decision-making. However, decision intelligence technology can assist in addressing and alleviating poor human decision-making through the processing and analysis of data arrays, the making of intelligent predictions based on historical data, and the more accurate suggestion of the best possible decisions from inputs, that can then be utilized to estimate error-free decisions.
There are numerous strategies to solve organizational issues. Even if one of the parameters is altered, these solutions can be flexible and emphasize more than one result of a certain choice. As a result, numerous solutions are developed, assisting a corporation in achieving its goals. As a result, decision intelligence technology is favored by many businesses because it saves time that would otherwise be wasted on human decisions based on sparse data. The technology also uses a variety of data sources to foresee an intelligent solution, which is anticipated to accelerate market growth throughout the forecast period.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The below illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
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.
Decision Intelligence (DI) is the practical application of AI to every aspect of business decision-making. It is outcome-focused and has to meet business goals. As a result, decision intelligence is being used by businesses to optimize every function and boost productivity. Decision Intelligence allows businesses to leverage data and AI to quickly, accurately, and consistently decide how to proceed with various business demands and issues.
It enables data collection and machine learning modeling to forecast precise results for the best business decision-making. It gives businesses the ability to process and forecast data to make more educated decisions at every level of the organization, gain better visibility into their operations, and produce game-changing business results. Major factors anticipated to propel market revenue growth during the forecast period include the requirement to make quick and precise decisions to assure better outcomes and an increasing need for multiple problem-solving solutions.
Going forward, it is anticipated that a major portion of the market revenue growth for decision intelligence will be driven by the growing need to reduce specific risks related to human decision-making. However, decision intelligence technology can assist in addressing and alleviating poor human decision-making through the processing and analysis of data arrays, the making of intelligent predictions based on historical data, and the more accurate suggestion of the best possible decisions from inputs, that can then be utilized to estimate error-free decisions.
There are numerous strategies to solve organizational issues. Even if one of the parameters is altered, these solutions can be flexible and emphasize more than one result of a certain choice. As a result, numerous solutions are developed, assisting a corporation in achieving its goals. As a result, decision intelligence technology is favored by many businesses because it saves time that would otherwise be wasted on human decisions based on sparse data. The technology also uses a variety of data sources to foresee an intelligent solution, which is anticipated to accelerate market growth throughout the forecast period.
COVID-19 Impact Analysis
While the COVID-19 pandemic has had a negative impact on several industries, it has had a positive impact on the market for decision intelligence. Many companies and organizations had to close their doors to stop the deadly coronavirus from spreading. During this period, many businesses switched to using intelligence software to simply and remotely monitor the workflow and make better judgments. By beginning with a decision and the business problem it is intended to solve, decision intelligence sets itself apart from other analytical methodologies. From there, it looks for relevant data to the decision and problem. These factors have sped up the market's expansion during the crisis.Market Growth Factors
The emergence of ML and ai is enabling a variety of sectors to fully utilize decision intelligence.
These industries have a pressing demand for precise decision-making. By examining the data gathered from various sources, providers have been able to better comprehend client perceptions due to the development and application of ML and AI. Businesses now prioritize providing a consistent customer experience throughout all channels and delivering offers in real-time by examining consumer purchasing trends. This is predicted to contribute to the market growth during the projection period.Advances in big data technology for actionable business intelligence
Decision intelligence is a fast-growing area of artificial intelligence and data science. Many tasks connected to decision intelligence-related software, like morphological and syntactic analysis, have been solved and integrated that are utilized on the internet. Large Data analytics and decision intelligence can be combined to create robust systems that can handle big data at enormous scales, do text analysis & opinion mining, and support management and business decision-making.Market Restraining Factors
Excessive information and reliance on decision-support systems
A decision-maker finds it difficult to ignore unimportant information when it is present, though. It is true that organizations use decision support systems (DSS) to facilitate and accelerate routine choices. Some decision-makers tend to refuse to utilize their own discretion and to depend too heavily on automated decision-making. Undoubtedly, the emphasis has shifted, and because DSS is used so frequently, decision-makers may not be able to advance their abilities. These factors are therefore impeding the expansion of the decision intelligence market.Component Outlook
Based on component, the decision intelligence market is segmented into platform, solutions, and services. The solution segment garnered a significant revenue share in the decision intelligence market in 2021. Businesses can automate administrative processes, increase productivity, and save costs using decision intelligence technologies. DI may transform a system that tells users which device is most likely to fail into one that guides them in selecting the best course of action for the best possible business results.Deployment Outlook
Based on deployment, the decision intelligence market is segmented into cloud and on-premises. In 2021, the cloud segment witnessed the largest revenue share in the decision intelligence market. This is because cloud-based AI services are the ideal option for many enterprises. Instead of building a massive data center, companies can use the infrastructure already in place to access enterprises. In reality, one of the reasons AI has become so commonplace is the availability of multiple plug-and-play AI cloud services via cloud providers, in addition, to access to appropriate, pre-trained models to build AI applications. These elements are propelling the cloud segment's expansion in the decision intelligence market.Organization Size Outlook
Based on organization size, the decision intelligence market is segmented into large enterprises and small & medium enterprises. In 2021, the large enterprise segment generated the maximum revenue share in the decision intelligence market. A growing number of businesses are using artificial intelligence to aid in decision-making. Because AI can process enormous volumes of data employing algorithms and processing power, its advantages increase with decision complexity. These AI technologies are being used by more and more businesses to aid in decision-making.Vertical Outlook
Based on vertical, the decision intelligence market is segmented into BFSI, retail & eCommerce, government & defense, healthcare & life Sciences, manufacturing, telecom, IT & ITeS, energy & utilities, transportation & logistics, and other verticals. The healthcare segment projected a prominent revenue share in the decision intelligence market in 2021. The healthcare sector is offering more prospects for growth in the decision intelligence industry. As innovative analytics techniques grow more precise and applicable to a wide range of tasks, AI has captured the attention of the healthcare sector.Regional Outlook
Based on Region, the Decision Intelligence Market is segmented into North America, Europe, Asia Pacific, and LAMEA. In 2021, the North America region led the decision intelligence market by generating the highest revenue share. Due to the widespread deployment of these technologies in developed countries like the US and Canada across numerous industrial sectors, decision intelligence is growing in this region. Due to increased costs associated with the research and development process, the region is likely to grow more quickly throughout the estimated period of time. It is projected that the decision intelligence market will continue to grow due to the industry's rising regional player base. Additionally, it is anticipated that leading vendors will increase their investments in product development and business expansion, supporting the industry.The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The below illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
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.
Strategies deployed in Decision Intelligence Market
- Dec-2022: Oracle Corporation took over Newmetrix, a cloud-based platform that uses artificial intelligence to highlight construction problems focused on project safety. Through this acquisition, Oracle Corporation would be able to able to fasten its abilities in utilizing Machine Learning and AI to construct more predictive behaviors
- Oct-2022: Google LLC partnered with Sisu Data, the decision intelligence company. Under this partnership, Google Cloud would be able to aid more organizations to improve fuel decision-making, analyst efficiency, and drive metric improvement. Moreover, Google Cloud would be able to deliver effortless access to Sisu capabilities inside Google Cloud’s Looker, Data cloud products, and BigQuery
- Oct-2022: Oracle Corporation partnered with NVIDIA Corporation, a global leader in artificial intelligence hard- and software. Under this partnership, both organizations would aid their customers to resolve business hurdles with revved AI and Computing. Moreover, Oracle Corporation would be able to integrate the whole NVIDIA accelerated computing stack from GPUs to systems and further to Oracle Cloud Infrastructure (OCI)
- Jan-2022: IBM Corporation took over Envizi, a leading data and analytics software provider for environmental performance management. Through this acquisition, IBM Corporation would be able to build more sustainable and resilient operations and supply chains with the help of IBM Sterling supply chain solutions, IBM Maximo asset management solutions, and IBM Environmental Intelligence Suite
- Nov-2021: Oracle Corporation unveiled the Oracle Cloud Infrastructure (OCI) AI services. These new AI services are the array of services that make it more manageable for developers to apply AI services to their applications without needing data science expertise. Additionally, these services provide developers the option of leveraging out-of-the-box models that have been taught on business-oriented data or custom training the services established on their organization’s data
- Sep-2021: Microsoft Corporation partnered with Truveta, a healthcare data platform collaboration with physicians and life science researchers. Under this Partnership, Microsoft Corporation would be able to provide the strength of Microsoft Azure and AI to aid Truveta to accomplish its idea of saving lives with data. Moreover, this partnership would support Truveta to fasten possibilities for more health providers to become members and contribute their data for understandings for the common good of humanity
- Oct-2019: Domo, Inc., came into partnership with Snowflake, Inc., a cloud computing-based data cloud company based in Bozeman, Montana. Through this partnership, both organizations would be able to influence customers as they drive more data to the cloud to leverage the scalability, security, and flexibility it delivers
- Dec-2018: IBM Corporation came into partnership with IIT Delhi, a public institute of technology located in New Delhi, India. Under this partnership, IBM Corporation would be able to focus on finding Novel AI techniques that would further help the organization make informed decisions by being capable to reason with their AI systems logically
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 Geography
North America
- US
- Canada
- Mexico
- Rest of North America
Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
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
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Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Decision Intelligence Market, by Deployment
1.4.2 Global Decision Intelligence Market, by Component
1.4.3 Global Decision Intelligence Market, by Organization Size
1.4.4 Global Decision Intelligence Market, by Vertical
1.4.5 Global Decision Intelligence Market, by Geography
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. Global Decision Intelligence Market by Deployment
4.1 Global Cloud Market by Region
4.2 Global On-premise Market by Region
Chapter 5. Global Decision Intelligence Market by Component
5.1 Global Platform Market by Region
5.2 Global Decision Intelligence Market by Platform Type
5.2.1 Global Integrated Market by Region
5.2.2 Global Standalone Market by Region
5.3 Global Solution Market by Region
5.4 Global Services Market by Region
Chapter 6. Global Decision Intelligence Market by Organization Size
6.1 Global Large Enterprises Market by Region
6.2 Global SMEs Market by Region
Chapter 7. Global Decision Intelligence Market by Vertical
7.1 Global BFSI Market by Region
7.2 Global Telecom & IT Market by Region
7.3 Global Healthcare Market by Region
7.4 Global Retail & Consumer Goods Market by Region
7.5 Global Manufacturing Market by Region
7.6 Global Government & Defense Market by Region
7.7 Global Energy & Utilities Market by Region
7.8 Global Transportation & Logistics Market by Region
7.9 Global Others Market by Region
Chapter 8. Global Decision Intelligence Market by Region
8.1 North America Decision Intelligence Market
8.1.1 North America Decision Intelligence Market by Deployment
8.1.1.1 North America Cloud Market by Country
8.1.1.2 North America On-premise Market by Country
8.1.2 North America Decision Intelligence Market by Component
8.1.2.1 North America Platform Market by Country
8.1.2.2 North America Decision Intelligence Market by Platform Type
8.1.2.2.1 North America Integrated Market by Country
8.1.2.2.2 North America Standalone Market by Country
8.1.2.3 North America Solution Market by Country
8.1.2.4 North America Services Market by Country
8.1.3 North America Decision Intelligence Market by Organization Size
8.1.3.1 North America Large Enterprises Market by Country
8.1.3.2 North America SMEs Market by Country
8.1.4 North America Decision Intelligence Market by Vertical
8.1.4.1 North America BFSI Market by Country
8.1.4.2 North America Telecom & IT Market by Country
8.1.4.3 North America Healthcare Market by Country
8.1.4.4 North America Retail & Consumer Goods Market by Country
8.1.4.5 North America Manufacturing Market by Country
8.1.4.6 North America Government & Defense Market by Country
8.1.4.7 North America Energy & Utilities Market by Country
8.1.4.8 North America Transportation & Logistics Market by Country
8.1.4.9 North America Others Market by Country
8.1.5 North America Decision Intelligence Market by Country
8.1.5.1 US Decision Intelligence Market
8.1.5.1.1 US Decision Intelligence Market by Deployment
8.1.5.1.2 US Decision Intelligence Market by Component
8.1.5.1.2.1 US Decision Intelligence Market by Platform Type
8.1.5.1.3 US Decision Intelligence Market by Organization Size
8.1.5.1.4 US Decision Intelligence Market by Vertical
8.1.5.2 Canada Decision Intelligence Market
8.1.5.2.1 Canada Decision Intelligence Market by Deployment
8.1.5.2.2 Canada Decision Intelligence Market by Component
8.1.5.2.2.1 Canada Decision Intelligence Market by Platform Type
8.1.5.2.3 Canada Decision Intelligence Market by Organization Size
8.1.5.2.4 Canada Decision Intelligence Market by Vertical
8.1.5.3 Mexico Decision Intelligence Market
8.1.5.3.1 Mexico Decision Intelligence Market by Deployment
8.1.5.3.2 Mexico Decision Intelligence Market by Component
8.1.5.3.2.1 Mexico Decision Intelligence Market by Platform Type
8.1.5.3.3 Mexico Decision Intelligence Market by Organization Size
8.1.5.3.4 Mexico Decision Intelligence Market by Vertical
8.1.5.4 Rest of North America Decision Intelligence Market
8.1.5.4.1 Rest of North America Decision Intelligence Market by Deployment
8.1.5.4.2 Rest of North America Decision Intelligence Market by Component
8.1.5.4.2.1 Rest of North America Decision Intelligence Market by Platform Type
8.1.5.4.3 Rest of North America Decision Intelligence Market by Organization Size
8.1.5.4.4 Rest of North America Decision Intelligence Market by Vertical
8.2 Europe Decision Intelligence Market
8.2.1 Europe Decision Intelligence Market by Deployment
8.2.1.1 Europe Cloud Market by Country
8.2.1.2 Europe On-premise Market by Country
8.2.2 Europe Decision Intelligence Market by Component
8.2.2.1 Europe Platform Market by Country
8.2.2.2 Europe Decision Intelligence Market by Platform Type
8.2.2.2.1 Europe Integrated Market by Country
8.2.2.2.2 Europe Standalone Market by Country
8.2.2.3 Europe Solution Market by Country
8.2.2.4 Europe Services Market by Country
8.2.3 Europe Decision Intelligence Market by Organization Size
8.2.3.1 Europe Large Enterprises Market by Country
8.2.3.2 Europe SMEs Market by Country
8.2.4 Europe Decision Intelligence Market by Vertical
8.2.4.1 Europe BFSI Market by Country
8.2.4.2 Europe Telecom & IT Market by Country
8.2.4.3 Europe Healthcare Market by Country
8.2.4.4 Europe Retail & Consumer Goods Market by Country
8.2.4.5 Europe Manufacturing Market by Country
8.2.4.6 Europe Government & Defense Market by Country
8.2.4.7 Europe Energy & Utilities Market by Country
8.2.4.8 Europe Transportation & Logistics Market by Country
8.2.4.9 Europe Others Market by Country
8.2.5 Europe Decision Intelligence Market by Country
8.2.5.1 Germany Decision Intelligence Market
8.2.5.1.1 Germany Decision Intelligence Market by Deployment
8.2.5.1.2 Germany Decision Intelligence Market by Component
8.2.5.1.2.1 Germany Decision Intelligence Market by Platform Type
8.2.5.1.3 Germany Decision Intelligence Market by Organization Size
8.2.5.1.4 Germany Decision Intelligence Market by Vertical
8.2.5.2 UK Decision Intelligence Market
8.2.5.2.1 UK Decision Intelligence Market by Deployment
8.2.5.2.2 UK Decision Intelligence Market by Component
8.2.5.2.2.1 UK Decision Intelligence Market by Platform Type
8.2.5.2.3 UK Decision Intelligence Market by Organization Size
8.2.5.2.4 UK Decision Intelligence Market by Vertical
8.2.5.3 France Decision Intelligence Market
8.2.5.3.1 France Decision Intelligence Market by Deployment
8.2.5.3.2 France Decision Intelligence Market by Component
8.2.5.3.2.1 France Decision Intelligence Market by Platform Type
8.2.5.3.3 France Decision Intelligence Market by Organization Size
8.2.5.3.4 France Decision Intelligence Market by Vertical
8.2.5.4 Russia Decision Intelligence Market
8.2.5.4.1 Russia Decision Intelligence Market by Deployment
8.2.5.4.2 Russia Decision Intelligence Market by Component
8.2.5.4.2.1 Russia Decision Intelligence Market by Platform Type
8.2.5.4.3 Russia Decision Intelligence Market by Organization Size
8.2.5.4.4 Russia Decision Intelligence Market by Vertical
8.2.5.5 Spain Decision Intelligence Market
8.2.5.5.1 Spain Decision Intelligence Market by Deployment
8.2.5.5.2 Spain Decision Intelligence Market by Component
8.2.5.5.2.1 Spain Decision Intelligence Market by Platform Type
8.2.5.5.3 Spain Decision Intelligence Market by Organization Size
8.2.5.5.4 Spain Decision Intelligence Market by Vertical
8.2.5.6 Italy Decision Intelligence Market
8.2.5.6.1 Italy Decision Intelligence Market by Deployment
8.2.5.6.2 Italy Decision Intelligence Market by Component
8.2.5.6.2.1 Italy Decision Intelligence Market by Platform Type
8.2.5.6.3 Italy Decision Intelligence Market by Organization Size
8.2.5.6.4 Italy Decision Intelligence Market by Vertical
8.2.5.7 Rest of Europe Decision Intelligence Market
8.2.5.7.1 Rest of Europe Decision Intelligence Market by Deployment
8.2.5.7.2 Rest of Europe Decision Intelligence Market by Component
8.2.5.7.2.1 Rest of Europe Decision Intelligence Market by Platform Type
8.2.5.7.3 Rest of Europe Decision Intelligence Market by Organization Size
8.2.5.7.4 Rest of Europe Decision Intelligence Market by Vertical
8.3 Asia Pacific Decision Intelligence Market
8.3.1 Asia Pacific Decision Intelligence Market by Deployment
8.3.1.1 Asia Pacific Cloud Market by Country
8.3.1.2 Asia Pacific On-premise Market by Country
8.3.2 Asia Pacific Decision Intelligence Market by Component
8.3.2.1 Asia Pacific Platform Market by Country
8.3.2.2 Asia Pacific Decision Intelligence Market by Platform Type
8.3.2.2.1 Asia Pacific Integrated Market by Country
8.3.2.2.2 Asia Pacific Standalone Market by Country
8.3.2.3 Asia Pacific Solution Market by Country
8.3.2.4 Asia Pacific Services Market by Country
8.3.3 Asia Pacific Decision Intelligence Market by Organization Size
8.3.3.1 Asia Pacific Large Enterprises Market by Country
8.3.3.2 Asia Pacific SMEs Market by Country
8.3.4 Asia Pacific Decision Intelligence Market by Vertical
8.3.4.1 Asia Pacific BFSI Market by Country
8.3.4.2 Asia Pacific Telecom & IT Market by Country
8.3.4.3 Asia Pacific Healthcare Market by Country
8.3.4.4 Asia Pacific Retail & Consumer Goods Market by Country
8.3.4.5 Asia Pacific Manufacturing Market by Country
8.3.4.6 Asia Pacific Government & Defense Market by Country
8.3.4.7 Asia Pacific Energy & Utilities Market by Country
8.3.4.8 Asia Pacific Transportation & Logistics Market by Country
8.3.4.9 Asia Pacific Others Market by Country
8.3.5 Asia Pacific Decision Intelligence Market by Country
8.3.5.1 China Decision Intelligence Market
8.3.5.1.1 China Decision Intelligence Market by Deployment
8.3.5.1.2 China Decision Intelligence Market by Component
8.3.5.1.2.1 China Decision Intelligence Market by Platform Type
8.3.5.1.3 China Decision Intelligence Market by Organization Size
8.3.5.1.4 China Decision Intelligence Market by Vertical
8.3.5.2 Japan Decision Intelligence Market
8.3.5.2.1 Japan Decision Intelligence Market by Deployment
8.3.5.2.2 Japan Decision Intelligence Market by Component
8.3.5.2.2.1 Japan Decision Intelligence Market by Platform Type
8.3.5.2.3 Japan Decision Intelligence Market by Organization Size
8.3.5.2.4 Japan Decision Intelligence Market by Vertical
8.3.5.3 India Decision Intelligence Market
8.3.5.3.1 India Decision Intelligence Market by Deployment
8.3.5.3.2 India Decision Intelligence Market by Component
8.3.5.3.2.1 India Decision Intelligence Market by Platform Type
8.3.5.3.3 India Decision Intelligence Market by Organization Size
8.3.5.3.4 India Decision Intelligence Market by Vertical
8.3.5.4 South Korea Decision Intelligence Market
8.3.5.4.1 South Korea Decision Intelligence Market by Deployment
8.3.5.4.2 South Korea Decision Intelligence Market by Component
8.3.5.4.2.1 South Korea Decision Intelligence Market by Platform Type
8.3.5.4.3 South Korea Decision Intelligence Market by Organization Size
8.3.5.4.4 South Korea Decision Intelligence Market by Vertical
8.3.5.5 Singapore Decision Intelligence Market
8.3.5.5.1 Singapore Decision Intelligence Market by Deployment
8.3.5.5.2 Singapore Decision Intelligence Market by Component
8.3.5.5.2.1 Singapore Decision Intelligence Market by Platform Type
8.3.5.5.3 Singapore Decision Intelligence Market by Organization Size
8.3.5.5.4 Singapore Decision Intelligence Market by Vertical
8.3.5.6 Malaysia Decision Intelligence Market
8.3.5.6.1 Malaysia Decision Intelligence Market by Deployment
8.3.5.6.2 Malaysia Decision Intelligence Market by Component
8.3.5.6.2.1 Malaysia Decision Intelligence Market by Platform Type
8.3.5.6.3 Malaysia Decision Intelligence Market by Organization Size
8.3.5.6.4 Malaysia Decision Intelligence Market by Vertical
8.3.5.7 Rest of Asia Pacific Decision Intelligence Market
8.3.5.7.1 Rest of Asia Pacific Decision Intelligence Market by Deployment
8.3.5.7.2 Rest of Asia Pacific Decision Intelligence Market by Component
8.3.5.7.2.1 Rest of Asia Pacific Decision Intelligence Market by Platform Type
8.3.5.7.3 Rest of Asia Pacific Decision Intelligence Market by Organization Size
8.3.5.7.4 Rest of Asia Pacific Decision Intelligence Market by Vertical
8.4 LAMEA Decision Intelligence Market
8.4.1 LAMEA Decision Intelligence Market by Deployment
8.4.1.1 LAMEA Cloud Market by Country
8.4.1.2 LAMEA On-premise Market by Country
8.4.2 LAMEA Decision Intelligence Market by Component
8.4.2.1 LAMEA Platform Market by Country
8.4.2.2 LAMEA Decision Intelligence Market by Platform Type
8.4.2.2.1 LAMEA Integrated Market by Country
8.4.2.2.2 LAMEA Standalone Market by Country
8.4.2.3 LAMEA Solution Market by Country
8.4.2.4 LAMEA Services Market by Country
8.4.3 LAMEA Decision Intelligence Market by Organization Size
8.4.3.1 LAMEA Large Enterprises Market by Country
8.4.3.2 LAMEA SMEs Market by Country
8.4.4 LAMEA Decision Intelligence Market by Vertical
8.4.4.1 LAMEA BFSI Market by Country
8.4.4.2 LAMEA Telecom & IT Market by Country
8.4.4.3 LAMEA Healthcare Market by Country
8.4.4.4 LAMEA Retail & Consumer Goods Market by Country
8.4.4.5 LAMEA Manufacturing Market by Country
8.4.4.6 LAMEA Government & Defense Market by Country
8.4.4.7 LAMEA Energy & Utilities Market by Country
8.4.4.8 LAMEA Transportation & Logistics Market by Country
8.4.4.9 LAMEA Others Market by Country
8.4.5 LAMEA Decision Intelligence Market by Country
8.4.5.1 Brazil Decision Intelligence Market
8.4.5.1.1 Brazil Decision Intelligence Market by Deployment
8.4.5.1.2 Brazil Decision Intelligence Market by Component
8.4.5.1.2.1 Brazil Decision Intelligence Market by Platform Type
8.4.5.1.3 Brazil Decision Intelligence Market by Organization Size
8.4.5.1.4 Brazil Decision Intelligence Market by Vertical
8.4.5.2 Argentina Decision Intelligence Market
8.4.5.2.1 Argentina Decision Intelligence Market by Deployment
8.4.5.2.2 Argentina Decision Intelligence Market by Component
8.4.5.2.2.1 Argentina Decision Intelligence Market by Platform Type
8.4.5.2.3 Argentina Decision Intelligence Market by Organization Size
8.4.5.2.4 Argentina Decision Intelligence Market by Vertical
8.4.5.3 UAE Decision Intelligence Market
8.4.5.3.1 UAE Decision Intelligence Market by Deployment
8.4.5.3.2 UAE Decision Intelligence Market by Component
8.4.5.3.2.1 UAE Decision Intelligence Market by Platform Type
8.4.5.3.3 UAE Decision Intelligence Market by Organization Size
8.4.5.3.4 UAE Decision Intelligence Market by Vertical
8.4.5.4 Saudi Arabia Decision Intelligence Market
8.4.5.4.1 Saudi Arabia Decision Intelligence Market by Deployment
8.4.5.4.2 Saudi Arabia Decision Intelligence Market by Component
8.4.5.4.2.1 Saudi Arabia Decision Intelligence Market by Platform Type
8.4.5.4.3 Saudi Arabia Decision Intelligence Market by Organization Size
8.4.5.4.4 Saudi Arabia Decision Intelligence Market by Vertical
8.4.5.5 South Africa Decision Intelligence Market
8.4.5.5.1 South Africa Decision Intelligence Market by Deployment
8.4.5.5.2 South Africa Decision Intelligence Market by Component
8.4.5.5.2.1 South Africa Decision Intelligence Market by Platform Type
8.4.5.5.3 South Africa Decision Intelligence Market by Organization Size
8.4.5.5.4 South Africa Decision Intelligence Market by Vertical
8.4.5.6 Nigeria Decision Intelligence Market
8.4.5.6.1 Nigeria Decision Intelligence Market by Deployment
8.4.5.6.2 Nigeria Decision Intelligence Market by Component
8.4.5.6.2.1 Nigeria Decision Intelligence Market by Platform Type
8.4.5.6.3 Nigeria Decision Intelligence Market by Organization Size
8.4.5.6.4 Nigeria Decision Intelligence Market by Vertical
8.4.5.7 Rest of LAMEA Decision Intelligence Market
8.4.5.7.1 Rest of LAMEA Decision Intelligence Market by Deployment
8.4.5.7.2 Rest of LAMEA Decision Intelligence Market by Component
8.4.5.7.2.1 Rest of LAMEA Decision Intelligence Market by Platform Type
8.4.5.7.3 Rest of LAMEA Decision Intelligence Market by Organization Size
8.4.5.7.4 Rest of LAMEA 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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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 314 |
| Published | January 2023 |
| Forecast Period | 2021 - 2028 |
| Estimated Market Value ( USD | $ 8573.3 Million |
| Forecasted Market Value ( USD | $ 26010.2 Million |
| Compound Annual Growth Rate | 17.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
