Decision Intelligence Market Size, Share & Trends Analysis Report By Vertical (BFSI, Healthcare), By Component (Solutions, Services), By Deployment (Cloud, On-Premises), By Enterprise Size (Large, SMEs), By Region, And Segment Forecasts, 2023 - 2030

Decision Intelligence Market Growth & Trends


The global decision intelligence market size is expected to reach USD 36.34 billion by 2030, growing at a CAGR of 15.9% from 2023 to 2030, according to a new report by Grand View Research, Inc. As businesses increasingly adopt artificial intelligence (AI) and machine learning (ML) technologies to gain a competitive edge, decision intelligence is emerging to connect decision support, decision management, and complex systems applications. In today's data-driven landscape, organizations face the challenge of navigating through vast amounts of information. This results in decision intelligence emerging as the vital solution, bridging the gap between data and improved decision-making.

Industries, such as financial services, healthcare, and supply chain management, urgently need reliable decision-making capabilities. By harnessing the power of decision intelligence, these industries can fully leverage the potential of their data and effectively optimize the utilization of AI, empowering these industries to thrive. Despite the adverse effects of the COVID-19 pandemic on various industries, the market for decision intelligence has experienced a notable positive impact. Numerous companies and organizations were compelled to close their physical operations to halt the spread of the coronavirus. Consequently, many businesses transitioned to utilizing intelligent software solutions to monitor workflows and make informed decisions remotely and effectively.

Decision intelligence distinguishes itself from other analytical methodologies by its unique approach of commencing the process with a precise decision and the associated business problem it intends to resolve. Thus, decision intelligence actively seeks out pertinent data directly relevant to the decision and problem. This distinctive methodology has played a pivotal role in driving the market's rapid expansion during the pandemic, emphasizing the increasingly widespread recognition and adoption of decision intelligence within various industries. North America accounted for the largest market share in 2022.

The growth is attributed to this region's widespread adoption of AI and ML technologies. The U.S. emerged as the dominant country worldwide, significantly contributing to revenue generation within the decision intelligence industry. The retail and banking sectors, in particular, are experiencing a surge in demand for advanced decision-making capabilities, thus propelling the growth of the decision intelligence industry. The rising investment in research and development of AI and Internet of Things (IoT) technologies is also significantly driving the market expansion in the North American region.

Decision Intelligence Market Report Highlights

  • The solutions segment dominated the market in 2022 and accounted for a revenue share of over 73%, owing to the increasing adoption of data-driven decision-making and the growing availability of big data
  • The on-premises segment led the market in 2022, accounting for over 55% share of the global revenue owing to its capabilities to provide more flexibility for customization and integration with existing systems
  • The large enterprise segment led the market in 2022, accounting for over 72% share of the global revenue owing to the increasing investments by large businesses in deploying next-gen technologies and decision intelligence solutions
  • The healthcare segment is predicted to foresee significant growth in the forecast years as decision intelligence helps the healthcare industry to address the challenges faced by providing insights into data, automating processes, and improving decision-making
  • North America dominated the market in 2022, accounting for over 45% share of the global revenue. The market is growing in the region as several established vendors offer solutions, and businesses have more experience with decision intelligence
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Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope and Assumptions
1.3. Information Procurement
1.3.1. Purchased Database
1.3.2. GVR’s Internal Database
1.3.3. Secondary Sources & Third-Party Perspectives
1.3.4. Primary Research
1.4. Information Analysis
1.4.1. Data Analysis Models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segmental Outlook
2.3. Competitive Insights
Chapter 3. Market Variables, Trends, and Scope
3.1. Market Lineage
3.2. Industry Value Chain Analysis
3.3. Decision Intelligence Market - Market Dynamics
3.3.1. Market Driver Analysis
3.3.1.1. The rise of Artificial Intelligence (AI) and Machine Learning (ML)
3.3.1.2. Growing need for businesses to mitigate the risks associated with human decision-making
3.3.2. Market Restraint Analysis
3.3.2.1. Information overload and reliance on decision support systems
3.3.3. Industry Challenges
3.4. Business Environmental Tools Analysis: Decision Intelligence Market
3.4.1. Porter’s Five Forces Analysis
3.4.1.1. Bargaining Power of Suppliers
3.4.1.2. Bargaining Power of Buyers
3.4.1.3. Threat of Substitution
3.4.1.4. Threat of New Entrants
3.4.1.5. Competitive Rivalry
3.4.2. PESTLE Analysis
3.4.2.1. Political Landscape
3.4.2.2. Economic Landscape
3.4.2.3. Social Landscape
3.4.2.4. Technology Landscape
3.4.2.5. Environmental Landscape
3.4.2.6. Legal Landscape
3.5. Economic Mega Trend Analysis
Chapter 4. Decision Intelligence Market: Component Estimates & Trend Analysis
4.1. Decision Intelligence Market, by Component: Key Takeaways
4.2. Decision Intelligence Market: Component Movement Analysis, 2022 & 2030
4.3. Solutions
4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
4.4. Services
4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
Chapter 5. Decision Intelligence Market: Deployment Estimates & Trend Analysis
5.1. Decision Intelligence Market, by Deployment: Key Takeaways
5.2. Decision Intelligence Market: Deployment Movement Analysis, 2022 & 2030
5.3. Cloud
5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
5.4. On - Premises
5.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
Chapter 6. Decision Intelligence Market: Enterprise Size Estimates & Trend Analysis
6.1. Decision Intelligence Market, By Enterprise Size: Key Takeaways
6.2. Decision Intelligence Market: Enterprise Size Movement Analysis, 2022 & 2030
6.3. Small & Medium Enterprises
6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
6.4. Large Enterprises
6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
Chapter 7. Decision Intelligence Market: Vertical Estimates & Trend Analysis
7.1. Decision Intelligence Market, By Vertical: Key Takeaways
7.2. Decision Intelligence Market: Vertical Movement Analysis, 2022 & 2030
7.3. Bfsi
7.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
7.4. It & Telecom
7.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
7.5. Retail & E-commerce
7.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
7.6. Healthcare
7.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
7.7. Manufacturing
7.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
7.8. Government
7.8.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
7.9. Others
7.9.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
Chapter 8. Decision Intelligence Market: Regional Estimates & Trend Analysis
8.1. Decision Intelligence Market: Regional Movement Analysis, 2022 & 2030
8.2. North America
8.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.2.2. U.S.
8.2.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.2.3. Canada
8.2.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.3. Europe
8.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.3.2. Germany
8.3.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.3.3. France
8.3.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.3.4. Uk
8.3.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.4. Asia Pacific
8.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.4.2. China
8.4.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.4.3. Japan
8.4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.4.4. India
8.4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.4.5. South Korea
8.4.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.4.6. Australia
8.4.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.5. Latin America
8.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.5.2. Brazil
8.5.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.5.3. Mexico
8.5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.6. Middle East & Africa
8.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Billion)
8.6.2. Kingdom Of Saudi Arabia (KSA)
8.6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)
8.6.3. UAE
8.6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)
8.6.4. South Africa
8.6.4.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)
Chapter 9. Competitive Landscape
9.1. Company Categorization
9.2. Company Market Positioning
9.3. Company Heat Map Analysis
9.4. Strategy Mapping
9.4.1. Expansion
9.4.2. Mergers & Acquisition
9.4.3. Partenerships & Collaborations
9.4.4. New Product Launches
9.4.5. Research & Development
9.5. Company Profiles/Listing
9.5.1. Board International
9.5.1.1. Overview
9.5.1.2. Financial Performance
9.5.1.3. Product Benchmarking
9.5.2. Domo, Inc.
9.5.2.1. Overview
9.5.2.2. Financial Performance
9.5.2.3. Product Benchmarking
9.5.3. Google LLC
9.5.3.1. Overview
9.5.3.2. Financial Performance
9.5.3.3. Product Benchmarking
9.5.4. H2O.ai.
9.5.4.1. Overview
9.5.4.2. Financial Performance
9.5.4.3. Product Benchmarking
9.5.5. International Business Machines Incorporation
9.5.5.1. Overview
9.5.5.2. Financial Performance
9.5.5.3. Product Benchmarking
9.5.6. Intel Corporation
9.5.6.1. Overview
9.5.6.2. Financial Performance
9.5.6.3. Product Benchmarking
9.5.7. Microsoft
9.5.7.1. Overview
9.5.7.2. Financial Performance
9.5.7.3. Product Benchmarking
9.5.8. Oracle
9.5.8.1. Overview
9.5.8.2. Financial Performance
9.5.8.3. Product Benchmarking
9.5.9. Provenir
9.5.9.1. Overview
9.5.9.2. Financial Performance
9.5.9.3. Product Benchmarking
9.5.10. Pyramid Analytics Bv
9.5.10.1. Overview
9.5.10.2. Financial Performance
9.5.10.3. Product Benchmarking

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