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The Decision Intelligence Market was valued at USD 12.7 billion in 2023 and is expected to reach USD 62.2 Billion by 2032, growing at a CAGR of 19.31% from 2024-2032.
The Decision Intelligence Market is undergoing a significant transformation as organizations increasingly recognize the critical role of data-driven decision-making in enhancing efficiency and achieving a competitive advantage. Key factors driving this growth include the rising volume of data generated across various sectors, the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies, and the growing need for real-time insights to support strategic decision-making.
Companies are actively investing in Decision Intelligence solutions to optimize their operations, improve customer experiences, and drive innovation. For example, major firms like IBM have integrated Decision Intelligence capabilities into their Watson platform, allowing businesses to analyze large datasets and derive actionable insights. In the financial services industry, organizations are utilizing these solutions to enhance risk assessment and fraud detection, leading to greater operational efficiency and reduced losses.
Moreover, industries such as healthcare are harnessing Decision Intelligence to improve patient outcomes. Hospitals are using predictive analytics to anticipate patient admission rates and optimize resource allocation, resulting in enhanced care and cost reductions. Additionally, the widespread adoption of cloud computing and the growing focus on digital transformation across various industries are facilitating the implementation of Decision Intelligence solutions. Organizations can now access sophisticated analytics tools without the need for extensive infrastructure investments, making these solutions more accessible. One of the major factors attributed to growth is growing requirement for enhanced operational efficiency. According to a recent McKinsey report, organizations with decision making powered by advanced analytics can boost productivity by as much as 25%. Decision intelligence trends in 2023 sees companies like Amazon use this to quickly curate their inventory with an optimal mix of what target customers will most likely want, through data insights and analysis which improves supply chain metrics significantly.
In conclusion, the Decision Intelligence Market is positioned for remarkable growth as businesses across diverse sectors recognize the advantages of leveraging advanced analytics and AI to make informed, strategic decisions that improve performance and strengthen their competitive position.
Drivers
The synergy of decision intelligence with AI and machine learning enhances automation and decision-making capabilities.
Businesses are leveraging decision intelligence to make faster, informed decisions, gaining an edge over competitors.
The increasing shift to cloud-based solutions allows for scalable decision intelligence tools that can be accessed from anywhere.
Growth of Decision Intelligence (DI) Market size is driven by the transition to cloud-based solutions. Due to this, it enables enterprises to efficiently scale their DI tools by using the on-demand access that the cloud provides, resulting in powerful computing resources and storage without having to make large upfront infrastructure investments. Such scalability enables companies to promptly process large data sets, execute complex algorithms and provide real-time insights thus expediting decision-making and propelling operational efficiency.
Another great thing about the cloud-based DI platforms is that it allows access to anywhere so that remote and distributed teams can collaborate better. As experience of globalization makes its way into most workplaces, decision makers have up-to-date insights at the tip of their fingers from any device and location. Additionally, it improves the security of your data, aiding in regulatory compliance and disaster recovery. Cloud providers have extensive security strengths needed to deal with sensitive data. Cloud solutions also come with greater ease of use to update and scale without the legacy restructuring obstacles.
Cloud-based DI tools are being adopted by a range of industries, including finance and healthcare, that seek to operate more efficiently, deliver better customer experiences and react to market changes. Skillset, accessibility, and security digital transformation supported with cloud in particular is a major enabler for the overall growth of the Decision Intelligence market.
Restraints
Initial setup and integration of decision intelligence systems can be expensive, limiting adoption by smaller businesses.
Integrating decision intelligence tools with existing legacy systems and workflows can be challenging, requiring significant technical expertise and time.
A shortage of professionals skilled in AI, machine learning, and advanced analytics hampers widespread implementation of decision intelligence solutions.
The shortage of professionals skilled in AI, machine learning, and advanced analytics presents a major barrier to the widespread adoption of decision intelligence (DI) solutions. DI relies on complex algorithms and data-driven insights, requiring a workforce proficient in these advanced technologies. However, the demand for such expertise far outpaces the available talent, leading to a significant skills gap. This gap hinders the implementation of DI tools, as companies struggle to recruit and retain experts capable of deploying and optimizing these systems. Without the necessary skills, businesses may underutilize DI platforms, resulting in inefficient decision-making and missed growth opportunities. Additionally, training current employees in DI technologies demands considerable time and resources, further delaying adoption. Small and medium-sized enterprises (SMEs), in particular, may lack the financial resources to hire top-tier AI specialists, placing them at a disadvantage.
As the DI market grows, the need for specialized training and upskilling becomes increasingly urgent. Addressing this talent shortage is crucial to unlocking the full potential of decision intelligence, enhancing efficiency, and maintaining competitiveness in a data-driven economy. Without a skilled workforce, market growth could stall, even with rising demand for advanced decision-making technologies.
The integration of decision intelligence (DI) tools with legacy systems is usually complex and lengthy process, requiring substantial technical expertise. Many organizations remain attached to legacy infrastructure and processes that make integration with modern DI solutions tricky. It is a resource intensive process which normally includes custom code, data migration, and workflow changes. In addition, integration needs to be handled delicately to avoid interfering with ongoing operations. This particularised skills set will provide delay or more charges. Then, SMEs are the most heavily affected by these unfinished threats due to exposed security gaps caused by their scarce technical knowledge and budgets. Organizations must successfully surmount these integration challenges so that they can benefit fully from decision intelligence.
By Application
The decision automation segment dominates the market, capturing the largest revenue share in 2023. It leverages artificial intelligence, data, and business rules to improve decision-making across various sectors, leading to enhanced organizational efficiency. By automating decisions, businesses can increase productivity, reduce risks, and minimize errors. These systems provide a consistent application of rules and criteria, helping to decrease variability and enhance outcome quality. For instance, in June 2023, Alteryx launched automated decision intelligence features on the Snowflake data cloud, allowing customers to gain analytic insights through direct access to the Alteryx Analytics Cloud Platform.
Furthermore, the decision support segment is projected to experience the highest compound annual growth rate (CAGR) throughout the forecast period. This segment utilizes organizational information systems to analyze data and facilitate decision-making. It acts as a critical information system for business operations and corporate decisions, heavily depending on databases and accessible information. Therefore, the increasing adoption of big data and data-driven business software in decision support systems is crucial for driving market growth.
By Enterprise Type
Large enterprises segment dominated the market and held the highest market share of 74.5% in 2023. Driven by numerous aspects such as high consumer engagement and fulfillment, comprehensive data analysis and visualization, accelerated data access and discovery, low operational cost and increased productivity. These solutions are foundational in helping organizations leverage data for better-informed decision-making. Furthermore, large enterprises have more financial ability and can spend much more on decision-making solutions, which reveals the high value of these decision-making tools to their operations.
On the other hand, Small & Medium Enterprises (SMEs) segment is expected to grow with highest compound annual growth rate (CAGR) during the forecast period. Small and medium enterprises are recognizing the importance of data-driven decision-making solutions to get better outcomes. The reduced costs of these solutions have brought them within the reach of SMEs, as has the increasing availability of data (driven by adoption of digital technologies like social media,e-commerce, mobile devices etc.) Growing number of registries provide critical insights that enhance SME decision making and substantially drive the growth of market.
By Industry
In 2023, the BFSI segment led the market by providing substantial benefits, including enhancement in managing large transactional data sets and promoting investment in data infrastructure and technology. Besides, in BFSI sector decision intelligence also allows institutions to customize products and services according to individual customer requirements, which ultimately improves customer satisfaction and loyalty.
Conversely, the IT & Telecom segment is expected to hold the highest CAGR throughout the forecast period. The rise of data availability and the adoption of technologies such as artificial intelligence, machine learning, and statistical analysis are driving this growth. Such innovations enable the enterprise to find patterns and trends in data that ultimately drive improved decision-making and provide valuable insights to clients. Additionally, IT and telecommunications play an important role in keeping data safe and making sure companies are following privacy laws. Sensitive data protection — Essential for decision intelligence, maintaining trust and compliance with regulations. As a result, these elements are projected to play a substantial role in driving the growth of this segment over the forecast period.
North America dominated the market with largest revenue share of 46.2% in 2023. The increase owes much to the expanding use of technology in multiple fields in the US and Canada. It has also built up excellent R&D capacity in AI technologies and supportive policies promoting the development of it in the region. In addition, leading companies such as IBM, Google and Microsoft are raising their investments to deliver & optimize market-leading product offerings and drive company growth which keeps on proving the dominance of North America in ASIC Market through innovation advancements.
On the other hand, Asia Pacific will witness strong growth in the forecast period, due to escalating digitalization, development in analytical and AI technologies, and focus towards data-driven approach. With the evolution of economies in this region, enterprises are becoming more cognizant about using decision intelligence solutions to make data-driven decisions and hence adoption is skyrocketing. Moreover, countries under Asia Pacific are slowly deploying next-gen technologies including: machine learning, AI, cloud computing and big data analytics for decision making purposes that helps organizations to handle large data volumes effectively while performing analysis.
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The major key players are
IBM - IBM Cloud
Google - Google Cloud Platform
Microsoft - Microsoft Azure
SAP - SAP HANA
Salesforce - Salesforce Einstein
Oracle - Oracle Cloud Infrastructure
SAS Institute - SAS Viya
Alteryx - Alteryx Designer
Qlik - Qlik Sense
Tableau - Tableau Desktop
TIBCO Software - TIBCO Spotfire
Informatica - Informatica Intelligent Cloud Services
Domo - Domo Business Cloud
FICO - FICO Decision Management Suite
Teradata - Teradata Vantage
Sisense - Sisense Fusion
ThoughtSpot - ThoughtSpot Search & AI-Driven Analytics
Quantexa - Quantexa Decision Intelligence Platform
AWS (Amazon Web Services) - Amazon SageMaker
ServiceNow - ServiceNow IT Service Management
Hardware Suppliers
Lenovo
Intel
Dell Technologies
Hewlett Packard Enterprise (HPE)
Cisco Systems
Sun Microsystems
HP Inc.
Acer
Dell Technologies
Cisco Systems
IBM
Amazon Web Services (AWS)
Cisco Systems
Dell Technologies
Amazon Web Services (AWS)
NVIDIA
Supermicro
Cisco Systems
February 2024: USEReady teamed up with CRG Solutions to strengthen its presence in India, aiming to meet the rising demand for advanced data analytics, business intelligence, and data intelligence solutions.
January 2024: FICO unveiled more than 20 new innovations in its FICO Platform, aimed at empowering businesses to make better-informed decisions. This AI-driven platform assists organizations in combining data and analytics for meaningful insights.
| Report Attributes | Details |
| Market Size in 2023 | US$ 12.7 Bn |
| Market Size by 2032 | US$ 62.2 Bn |
| CAGR | CAGR of 19.31% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Application (Decision Support, Decision Augmentation, Decision Automation) • By Enterprise Type (Large Enterprises, Small & Medium Enterprises) • By Industry (IT & Telecommunications, BFSI, Transportation & Logistics, Retail & Ecommerce, Consumer Goods, Construction, Government, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | IBM, Google, Microsoft, SAP, Salesforce, Oracle, SAS Institute, Alteryx, Qlik, Tableau, TIBCO Software, Informatica, Domo, FICO, Teradata |
| Key Drivers | • The synergy of decision intelligence with AI and machine learning enhances automation and decision-making capabilities. • Businesses are leveraging decision intelligence to make faster, informed decisions, gaining an edge over competitors. • The increasing shift to cloud-based solutions allows for scalable decision intelligence tools that can be accessed from anywhere. |
| Market Restraints | • Initial setup and integration of decision intelligence systems can be expensive, limiting adoption by smaller businesses. • Integrating decision intelligence tools with existing legacy systems and workflows can be challenging, requiring significant technical expertise and time. • A shortage of professionals skilled in AI, machine learning, and advanced analytics hampers widespread implementation of decision intelligence solutions. |
Ans- The Decision Intelligence Market is anticipated to grow at a CAGR of 19.31% from 2024-2032.
Ans- In 2023, North America led the Decision Intelligence Market, capturing a significant revenue share of 46.2%.
The synergy of decision intelligence with AI and machine learning enhances automation and decision-making capabilities, driving the Decision Intelligence Market.
Ans- Challenges facing the Decision Intelligence Market are:
1. Initial setup and integration of decision intelligence systems can be expensive, limiting adoption by smaller businesses.
2. Integrating decision intelligence tools with existing legacy systems and workflows can be challenging, requiring significant technical expertise and time.
Ans- The Decision Intelligence Market was valued at USD 12.7 billion in 2023 and is expected to reach USD 62.2 Billion by 2032, growing at a CAGR of 19.31% from 2024-2032.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates of Emerging Technologies
5.2 Network Infrastructure Expansion, by Region
5.3 Cybersecurity Incidents, by Region (2020-2023)
5.4 Cloud Services Usage, by Region
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Decision Intelligence Market Segmentation, By Application
7.1 Chapter Overview
7.2 Decision Support
7.2.1 Decision Support Market Trends Analysis (2020-2032)
7.2.2 Decision Support Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Decision Augmentation
7.3.1 Decision Augmentation Market Trends Analysis (2020-2032)
7.3.2 Decision Augmentation Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Decision Automation
7.4.1 Decision Automation Market Trends Analysis (2020-2032)
7.4.2 Decision Automation Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Decision Intelligence Market Segmentation, by Enterprise Type
8.1 Chapter Overview
8.2 Large Enterprises
8.2.1 Large Enterprises Market Trends Analysis (2020-2032)
8.2.2 Large Enterprises Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Small & Medium Enterprises
8.3.1 Small & Medium Enterprises Market Trends Analysis (2020-2032)
8.3.2 Small & Medium Enterprises Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Decision Intelligence Market Segmentation, by Industry
9.1 Chapter Overview
9.2 IT And Telecom
9.2.1 IT And Telecom Market Trends Analysis (2020-2032)
9.2.2 IT And Telecom Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 BFSI
9.3.1 BFSI Market Trends Analysis (2020-2032)
9.3.2 BFSI Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Transportation & Logistics
9.4.1 Transportation & Logistics Market Trends Analysis (2020-2032)
9.4.2 Transportation & Logistics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Retail & Ecommerce
9.5.1 Retail & Ecommerce Market Trends Analysis (2020-2032)
9.5.2 Retail & Ecommerce Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Consumer Goods
9.6.1 Consumer Goods Market Trends Analysis (2020-2032)
9.6.2 Consumer Goods Market Size Estimates and Forecasts to 2032 (USD Billion)
9.7 Construction
9.7.1 Construction Market Trends Analysis (2020-2032)
9.7.2 Construction Market Size Estimates and Forecasts to 2032 (USD Billion)
9.8 Government
9.8.1 Government Market Trends Analysis (2020-2032)
9.8.2 Government Market Size Estimates and Forecasts to 2032 (USD Billion)
9.9 Others
9.9.1 Others Market Trends Analysis (2020-2032)
9.9.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Decision Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.2.4 North America Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.2.5 North America Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.2.6.2 USA Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.2.6.3 USA Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.2.7.2 Canada Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.2.7.3 Canada Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.2.8.2 Mexico Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.2.8.3 Mexico Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Decision Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.1.6.2 Poland Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.1.6.3 Poland Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.1.7.2 Romania Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.1.7.3 Romania Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Decision Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.4 Western Europe Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.5 Western Europe Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.6.2 Germany Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.6.3 Germany Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.7.2 France Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.7.3 France Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.8.2 UK Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.8.3 UK Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.9.2 Italy Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.9.3 Italy Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.10.2 Spain Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.10.3 Spain Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.13.2 Austria Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.13.3 Austria Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Decision Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.4 Asia Pacific Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.5 Asia Pacific Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.6.2 China Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.6.3 China Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.7.2 India Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.7.3 India Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.8.2 Japan Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.8.3 Japan Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.9.2 South Korea Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.9.3 South Korea Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.10.2 Vietnam Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.10.3 Vietnam Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.11.2 Singapore Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.11.3 Singapore Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.12.2 Australia Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.12.3 Australia Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Decision Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.1.4 Middle East Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.1.5 Middle East Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.1.6.2 UAE Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.1.6.3 UAE Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Decision Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.2.4 Africa Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.2.5 Africa Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Decision Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.6.4 Latin America Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.6.5 Latin America Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.6.6.2 Brazil Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.6.6.3 Brazil Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.6.7.2 Argentina Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.6.7.3 Argentina Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.6.8.2 Colombia Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.6.8.3 Colombia Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Decision Intelligence Market Estimates and Forecasts, Application (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Decision Intelligence Market Estimates and Forecasts, by Enterprise Type (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Decision Intelligence Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
11. Company Profiles
11.1 IBM
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Google
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Microsoft
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 SAP
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Salesforce
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Oracle
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 SAS Institute
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Alteryx
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Qlik
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Tableau
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments
By Application
Decision Support
Decision Augmentation
Decision Automation
By Enterprise Type
Large Enterprises
Small & Medium Enterprises
By Industry
IT & Telecommunications
BFSI
Transportation & Logistics
Retail & Ecommerce
Consumer Goods
Construction
Government
Others (Manufacturing)
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
The Project Portfolio Management Market Size was valued at USD 4.75 Billion in 2023, and is expected to reach USD 8.82 Billion by 2032, and grow at a CAGR of 7.44%.
Network Security Policy Management Market is expected to grow from USD 19.49 billion in 2023 to USD 36.28 billion by 2032, at a CAGR of 7.17% over 2024-2032.
The Software-defined wide area network (SD-WAN) Market size was valued at USD 3.79 Billion in 2023 and is expected to grow to USD 42.18 Billion by 2032 and grow at a CAGR of 30.7% over the forecast period of 2024-2032.
The Virtual Event Platform Market size was USD 13.73 Billion in 2023 and is expected to reach USD 45.58 Billion by 2032 with a growing CAGR of 14.26% over the forecast period of 2024-2032.
Mobile application market size was valued at USD 235 Billion in 2023. It is expected to reach USD 783.3 Billion by 2032 and grow at a CAGR of 14.33% over the forecast period of 2024-2032.
The Passenger Service System Market size was valued at USD 8.8 billion in 2023, It is expected to hit USD 31.9 billion by 2031 and grow at a CAGR of 17.5% over the forecast period of 2024-2031.
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