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Global Decision Intelligence Market to reach USD 31.52 billion by the end of 2029

Global Decision Intelligence Market Size study&Forecast, byComponent (Platform, Solutions, Services) by Solutions (Integrated, Standalone), by Services (Consulting, Deployment and Integration, Support and Maintenance), by Deployment Mode (Cloud, On-Premises), by Organization size (Large Enterprises, SMEs), by Vertical (BFSI, Retail and e-commerce, Government and defense, Healthcare and Life Sciences, Manufacturing, Telecom, IT & ITeS, Energy and Utilities, Transportation and logistics, Other verticals) and Regional Analysis, 2022-2029

Product Code: ICTICTI-26444864
Publish Date: 20-03-2023
Page: 200

Global Decision Intelligence Market is valued at approximately USD 8.5 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 17.8% over the forecast period 2022-2029. Decision Intelligence is used in fields such as healthcare, financial services and supply chains to fasten and automate decision-making processes in various cases. It helps in accurate decision-making with better outcomes making the right choice for every organization. It further helps to save time an bridge the gap between enterprise platforms and solutions. Additionally, emerging decision intelligence is benefitting from the advent of new technologies such as AI and ML. These technologies further help in mistakes free decision making alleviating poor human decisions.

Decision Intelligence is a key for organizations struggling in a sea of data. The introduction and execution of Artificial Intelligence (AI) and Machine Learning(ML)have helped the providers in analyzing the data and understanding customers’ points of view effectively. Global artificial intelligence (AI) is also forecasted to grow rapidly reaching 126 billion by 2025, it also states that there were over 2600 AI start-ups by 2020. Humans are no match for artificial intelligence when it comes to speed and efficiency. Decision Intelligence is deployed in several industries such as healthcare organizations, Baking and finance, entertainment, transportation and so on. For instance, doctors are using machine learning with decision intelligence in order to interpret, analyze, and recommend the best possible solutions for major medical issues. Continuous advancements and technological gradation in decision intelligence is driving the market, by making smart predictions on historical data and suggesting the best decisions accurately eliminates mistakes in data. However, the high cost of Decision Intelligence stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Decision Intelligence Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World.North America is dominating the market share for decision intelligence due to the increasing implementation of AI and ML technologies in this region. The growing retail and baking sector is demanding better judgments further driving the market for decision intelligence. Increasing expenditure on research and development of AI and IoT technologies is also contributing towards the growth. Europe is expected to be the fastest-growing region with the highest CAGR over the forecasted period due to the rising demand for manufacturing, transportation, and energy industries. There is also huge demand for autonomous vehicles leading to the rising need for decision intelligence.
Major market player included in this report are:
Baidu Inc.
Advanced Micro Devices Inc,
Arm Infrastructure Private Limited
H2O.ai, Inc
Clarifi Inc.
Enlitic Inc.
Ayasdi Ai LLC
HyperVerge Inc.
Iris AI (Pty) Ltd,
Syneos Health, Inc.

Recent Developments in the Market:
 In September 2022, Provenir came into partnership with Inovatec to provide smart and reliable decisions.
 In April 2022, Sopra Steria and IBM launched new AI services namely Sopra Steria Alive Solutions (SSAI) to deliver advanced solutions.
 In January 2020, AiCure and Syneos health collaborated to predict and analyze patient behavior for clinical trial outcomes.
Global Decision Intelligence Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Solutions, Services, Deployment Mode, Organization Size, Vertical, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 Component offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
By Solutions:
By Services:
Deployment and Integration
Support and Maintenance
By Deployment Mode:
By Organization Size
Large Enterprises
By Vertical:
Retail and e-commerce
Government and defense
Healthcare and Life Sciences
Energy and Utilities
Transportation and logistics
Other verticals
By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Decision Intelligence Market, by Region, 2019-2029 (USD Billion)
1.2.2. Decision Intelligence Market, by Component,2019-2029 (USD Billion)
1.2.3. Decision Intelligence Market, by Solutions, 2019-2029 (USD Billion)
1.2.4. Decision Intelligence Market, by Services, 2019-2029 (USD Billion)
1.2.5. Decision Intelligence Market, by Deployment Mode, 2019-2029 (USD Billion)
1.2.6. Decision Intelligence Market, by Organization Size, 2019-2029 (USD Billion)
1.2.7. Decision Intelligence Market, by Vertical, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Decision Intelligence Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Decision Intelligence Market Dynamics
3.1. Decision Intelligence Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Alleviates poor human decision-making. Increasing use of ML technologies.
3.1.2. Market Challenges High Cost of Decision Intelligence
3.1.3. Market Opportunities Advancements in Formulation Eliminates mistakes.
Chapter 4. Global Decision Intelligence MarketIndustry 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Decision Intelligence Market, by Component
6.1. Market Snapshot
6.2. Global Decision Intelligence Market by Component, Performance – Potential Analysis
6.3. Global Decision Intelligence Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Decision Intelligence Market, Sub Segment Analysis
6.4.1. Platform
6.4.2. Solutions
6.4.3. Services
Chapter 7. Global Decision Intelligence Market, by Solutions
7.1. Market Snapshot
7.2. Global Decision Intelligence Market by Solutions, Performance – Potential Analysis
7.3. Global Decision Intelligence Market Estimates & Forecasts by Solutions 2019-2029 (USD Billion)
7.4. Decision Intelligence Market, Sub Segment Analysis
7.4.1. Integrated
7.4.2. Standalone
Chapter 8. Global Decision Intelligence Market,by services
8.1. Market Snapshot
8.2. Global Decision Intelligence Market by Services, Performance – Potential Analysis
8.3. Global Decision Intelligence Market Estimates & Forecasts by Services 2019-2029 (USD Billion)
8.4. Decision Intelligence Market, Sub Segment Analysis
8.4.1. Consulting
8.4.2. Deployment and Integration
8.4.3. Support and Maintenance
Chapter 9. Global Decision Intelligence Market, by Deployment Mode
9.1. Market Snapshot
9.2. Global Decision Intelligence Market by Deployment Mode, Performance – Potential Analysis
9.3. Global Decision Intelligence Market Estimates & Forecasts by Deployment Mode2019-2029 (USD Billion)
9.4. Decision Intelligence Market, Sub Segment Analysis
9.4.1. Cloud
9.4.2. On-Premises
Chapter 10. Global Decision Intelligence Market, by Organization Size
10.1. Market Snapshot
10.2. Global Decision Intelligence Market by Organization Size, Performance – Potential Analysis
10.3. Global Decision Intelligence Market Estimates & Forecasts by Organization size 2019-2029 (USD Billion)
10.4. Decision Intelligence Market, Sub Segment Analysis
10.4.1. Large Enterprises
10.4.2. SMEs
Chapter 11. Global Decision Intelligence Market, by Vertical
11.1. Market Snapshot
11.2. Global Decision Intelligence Market by Vertical, Performance – Potential Analysis
11.3. Global Decision Intelligence Market Estimates & Forecasts by Vertical2019-2029 (USD Billion)
11.4. Decision Intelligence Market, Sub Segment Analysis
11.4.1. BFSI
11.4.2. Retail and ecommerce
11.4.3. Government and defense
11.4.4. Healthcare and Life Sciences
11.4.5. Manufacturing
11.4.6. Telecom
11.4.7. IT &ITeS
11.4.8. Energy and Utilities
11.4.9. Transportation and logistics
11.4.10. Other verticals
Chapter 12. Global Decision Intelligence Market, Regional Analysis
12.1. Decision Intelligence Market, Regional Market Snapshot
12.2. North America Decision Intelligence Market
12.2.1. U.S.Decision Intelligence Market Componentbreakdown estimates & forecasts, 2019-2029 Solutions breakdown estimates & forecasts, 2019-2029 Services breakdown estimates & forecasts, 2019-2029 Deployment Modebreakdown estimates & forecasts, 2019-2029 Organization Size breakdown estimates & forecasts, 2019-2029 Vertical breakdown estimates & forecasts, 2019-2029
12.2.2. CanadaDecision Intelligence Market
12.3. Europe Decision Intelligence Market Snapshot
12.3.1. U.K. Decision Intelligence Market
12.3.2. Germany Decision Intelligence Market
12.3.3. France Decision Intelligence Market
12.3.4. Spain Decision Intelligence Market
12.3.5. Italy Decision Intelligence Market
12.3.6. Rest of EuropeDecision Intelligence Market
12.4. Asia-PacificDecision Intelligence Market Snapshot
12.4.1. China Decision Intelligence Market
12.4.2. India Decision Intelligence Market
12.4.3. JapanDecision Intelligence Market
12.4.4. Australia Decision Intelligence Market
12.4.5. South Korea Decision Intelligence Market
12.4.6. Rest of Asia PacificDecision Intelligence Market
12.5. Latin America Decision Intelligence Market Snapshot
12.5.1. Brazil Decision Intelligence Market
12.5.2. MexicoDecision Intelligence Market
12.6. Rest of The World Decision Intelligence Market

Chapter 13. Competitive Intelligence
13.1. Top Market Strategies
13.2. Company Profiles
13.2.1. Baidu Inc. Key Information Overview Financial (Subject to Data Availability) ProductSummary Recent Developments
13.2.2. Advanced Micro devices Inc,
13.2.3. Arm Infrastructure Private Limited
13.2.4. H2O.ai, Inc
13.2.5. Clarifi Inc.
13.2.6. Enlitic Inc.
13.2.7. Ayasdi Ai LLC
13.2.8. HyperVerge Inc.
13.2.9. Iris AI (Pty) Ltd,
13.2.10. Syneos Health, Inc.
Chapter 14. Research Process
14.1. Research Process
14.1.1. Data Mining
14.1.2. Analysis
14.1.3. Market Estimation
14.1.4. Validation
14.1.5. Publishing
14.2. Research Attributes
14.3. 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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