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Global Decision Intelligence Platform Market to reach USD XX billion by the end of 2030

Global Decision Intelligence Platform Market Size study & Forecast, by Deployment Mode (Cloud-Based, On-Premises); by Organization Size (Small and Medium Enterprises (SME), Large Enterprises); by Industry Vertical (Healthcare, BFSI, Electronic, Manufacturing, Others) and Regional Analysis, 2023-2030

Product Code: ICTEITS-61202097
Publish Date: 27-06-2023
Page: 200

Global Decision Intelligence Platform Market is valued at approximately USD XX billion in 2022 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030. The Decision Intelligence Platform (DIP), a collection of software tools, enhances business decision-making. By integrating decision-making tools, data analytics, and data visualization, DIPs provide organizations with useful information that may enhance their operations. Three key drivers are driving the DIP market: the desire for predictive analytics, the requirement for real-time decision-making, and the expanding usage of AI and ML technologies. A DIP can raise a company’s output, decision-making precision, cost, and customer happiness. As more companies look to employ data-driven insights, the advantages of DIPssurely accelerate industry development.

According to Statista, in 2020, the market for predictive analytics software was estimated to be worth 5.29 billion dollars, and by 2028, it is expected to be worth 41.52 billion dollars. Predictive analytics is frequently used to manage supply chains, corporate operations, and customer behavior. With 77 percent of respondents reporting as much, the United States dominated in terms of data-driven decision making inside organizations in 2020. Germany and the United Kingdom are two additional remarkable nations for data-driven decision making within organizations. Moreover, Rising Internet of Things (IoT) and bitcoin market demand enhanced market opportunities in the forecast years. However, the lack of qualified individuals stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Decision Intelligence Platform Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America currently has the largest share of the worldwide DIP market due to its advanced IT infrastructure, high rate of adoption of new technologies, and the considerable presence of key DIP providers. The Asia Pacific area is predicted to grow faster than other regions due to the rising usage of big data analytics and cloud computing in countries such as China and India.

Major market player included in this report are:
Astral Consulting Limited
SAS Institute
Tellius, Inc.
Peak AI
Synergies Intelligent Systems Inc.

Recent Developments in the Market:
Ø In September 2022, Auto lenders began to have access to Provenir’s approved selection of AI-driven solutions as a result of a collaboration between Inovatec Systems and the leader in AI-powered decisioning software. The LOS platform from Inovatec now integrates Provenir’s portfolio with open APIs, making it easier and more efficient to lend cars.
Ø In July 2022, IBM acquired Databand.ai, a provider of data observability software, to extend its leadership in observability and ensure trustworthy data is delivered to the right people at the right time. Prior to having an influence on their financial performance, the acquisition will assist organisations in identifying and correcting data problems, inaccuracies, pipeline failures, and low quality. Through data, AI, and automation, this will improve IBM’s software portfolio.
Global Decision Intelligence Platform Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Deployment mode, Organization Size, Industry Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Deployment Mode:

By Organization Size:
Small and Medium Enterprises (SME)
Large Enterprises

By Industry Vertical:

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Decision Intelligence Platform Market, by Region, 2020-2030 (USD Billion)
1.2.2. Decision Intelligence Platform Market, by Deployment Mode, 2020-2030 (USD Billion)
1.2.3. Decision Intelligence Platform Market, by Organization Size, 2020-2030 (USD Billion)
1.2.4. Decision Intelligence Platform Market, by Industry Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Decision Intelligence Platform Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Decision Intelligence Platform Market Dynamics
3.1. Decision Intelligence Platform Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing Demand for Real-time Decision-making Rising Need for Predictive Analytics
3.1.2. Market Challenges Lack of qualified individuals
3.1.3. Market Opportunities Rising Internet of Things (IoT) and bitcoin market demand
Chapter 4. Global Decision Intelligence Platform Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Decision Intelligence Platform Market, by Deployment Mode
5.1. Market Snapshot
5.2. Global Decision Intelligence Platform Market by Deployment Mode, Performance – Potential Analysis
5.3. Global Decision Intelligence Platform Market Estimates & Forecasts by Deployment Mode 2020-2030 (USD Billion)
5.4. Decision Intelligence Platform Market, Sub Segment Analysis
5.4.1. Cloud-Based
5.4.2. On-Premises
Chapter 6. Global Decision Intelligence Platform Market, by Organization Size
6.1. Market Snapshot
6.2. Global Decision Intelligence Platform Market by Organization Size, Performance – Potential Analysis
6.3. Global Decision Intelligence Platform Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
6.4. Decision Intelligence Platform Market, Sub Segment Analysis
6.4.1. Small and Medium Enterprises (SME)
6.4.2. Large Enterprises
Chapter 7. Global Decision Intelligence Platform Market, by Industry Vertical
7.1. Market Snapshot
7.2. Global Decision Intelligence Platform Market by Industry Vertical, Performance – Potential Analysis
7.3. Global Decision Intelligence Platform Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
7.4. Decision Intelligence Platform Market, Sub Segment Analysis
7.4.1. Healthcare
7.4.2. BFSI
7.4.3. Electronics
7.4.4. Manufacturing
7.4.5. Others
Chapter 8. Global Decision Intelligence Platform Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Decision Intelligence Platform Market, Regional Market Snapshot
8.4. North America Decision Intelligence Platform Market
8.4.1. U.S. Decision Intelligence Platform Market Deployment Mode breakdown estimates & forecasts, 2020-2030 Organization Size breakdown estimates & forecasts, 2020-2030 Industry Vertical breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Decision Intelligence Platform Market
8.5. Europe Decision Intelligence Platform Market Snapshot
8.5.1. U.K. Decision Intelligence Platform Market
8.5.2. Germany Decision Intelligence Platform Market
8.5.3. France Decision Intelligence Platform Market
8.5.4. Spain Decision Intelligence Platform Market
8.5.5. Italy Decision Intelligence Platform Market
8.5.6. Rest of Europe Decision Intelligence Platform Market
8.6. Asia-Pacific Decision Intelligence Platform Market Snapshot
8.6.1. China Decision Intelligence Platform Market
8.6.2. India Decision Intelligence Platform Market
8.6.3. Japan Decision Intelligence Platform Market
8.6.4. Australia Decision Intelligence Platform Market
8.6.5. South Korea Decision Intelligence Platform Market
8.6.6. Rest of Asia Pacific Decision Intelligence Platform Market
8.7. Latin America Decision Intelligence Platform Market Snapshot
8.7.1. Brazil Decision Intelligence Platform Market
8.7.2. Mexico Decision Intelligence Platform Market
8.8. Middle East & Africa Decision Intelligence Platform Market
8.8.1. Saudi Arabia Decision Intelligence Platform Market
8.8.2. South Africa Decision Intelligence Platform Market
8.8.3. Rest of Middle East & Africa Decision Intelligence Platform Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Astral Consulting Limited Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. IWConnect
9.3.3. SAS Institute
9.3.4. FlexRule
9.3.5. Cognizant
9.3.6. Infopulse
9.3.7. Tellius, Inc.
9.3.8. Quantexa
9.3.9. Peak AI
9.3.10. Synergies Intelligent Systems Inc.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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