Decision Intelligence Market by Model, Provider, End-Use, Application

Description

List of Tables

[185 Pages Report] The Decision Intelligence Market size was estimated at USD 11.68 billion in 2023 and expected to reach USD 12.84 billion in 2024, at a CAGR 10.21% to reach USD 23.09 billion by 2030.

Decision intelligence (DI) is a technology-based discipline that helps businesses make better decisions by integrating artificial intelligence (AI) and human decision-making. Decision intelligence combines different decision-making techniques with artificial intelligence (AI), automation, business intelligence (BI), and forward-thinking decision-makers to drive a significant impact on the organization, achieve a higher return on data, and allow users to gather actionable intelligence that powers more progressive decisions. Increasing demand for data-driven and real-time decision-making across businesses to stay competitive elevates the need for decision intelligence platforms. The increasing adoption and availability of AI and machine learning (ML) technologies drive the adoption of decision intelligence solutions. High implementation costs and security & privacy concerns associated with decision intelligence solutions hamper the market's growth. The ongoing introduction of advanced decision intelligence platforms that offer several benefits, such as scalability, flexibility, and cost-effectiveness, by market vendors is expected to create opportunities for market growth.

KEY MARKET STATISTICS
Base Year [2023]	USD 11.68 billion
Estimated Year [2024]	USD 12.84 billion
Forecast Year [2030]	USD 23.09 billion
CAGR (%)	10.21%

Model: Growing usage of machine-based decision intelligence to automate decision-making processes

Human-based decision intelligence models prioritize human judgment and expertise in the decision-making process. These models integrate human intuition, emotional intelligence, and ethical considerations, offering unique insights that purely data-driven approaches may miss. They're particularly effective in scenarios where human values, ethics, and nuanced understanding play a crucial role. Hybrid-based models represent a balance between human intuition and automated decision-making, leveraging the strengths of both human-based and machine-based approaches. This model aims to enhance the efficiency and scalability of decision-making processes while maintaining the depth of understanding that human judgment provides. Machine-based decision intelligence employs algorithms and data analytics to automate decision-making processes. This model thrives on its ability to process and analyze vast datasets far beyond human capability, delivering speed and precision in scenarios where time and accuracy are critical.

End-Use: Rising potential of decision intelligence across the healthcare industry for enhancing patient care and operational efficiency

In the BFSI sector, decision intelligence is paramount for risk management, fraud prevention, and customer personalization. Banks and financial institutions leverage advanced analytics for better decision-making on loans, risk assessment, and tailoring services for individual customers. Healthcare institutions utilize decision intelligence to enhance patient care, operational efficiency, and medical research. From predicting patient readmissions to streamlining the supply chain, the applications are vast and crucial. In media & entertainment, decision intelligence optimizes content recommendation algorithms, ad placements, and customer engagement strategies. It enhances the viewer's experience while maximizing revenue opportunities. For the oil & gas industry, decision intelligence aids in exploration, production optimization, and predictive maintenance. It also plays a role in safety management and environmental compliance. Retailers implement decision intelligence for inventory management, customer behavior analysis, and optimizing the supply chain. It enables personalized marketing and tailored product recommendations, significantly enhancing customer satisfaction. Transportation & logistics companies use decision intelligence for route optimization, fleet management, and predictive maintenance. It ensures high operational efficiency and customer service levels.

Regional Insights

America's decision intelligence market is evolving and reinforcing over the forecast period with the growing integration of faster, more accurate, and automated decision intelligence across businesses. The rising need for advanced and digitized technologies is envisioned to offer massive opportunities for the decision intelligence market to grow in the region. Digitalization has given the European region further impetus to accelerate the technological transition by promoting enabling technologies such as cloud computing, quantum technologies, and AI & ML. The Digital Compass, a strategy proposal from the European Commission, sets specific digital targets and milestones to be reached by 2030 across skills, business, government, and infrastructure. According to Eurostat, in 2020, 7% of enterprises in the European Union (EU), with approximately ten people employed, used AI applications, and 2% of the enterprises used machine learning to analyze big data internally. The evolving use of new AI technologies with major government initiatives for digitalizing end-user industries is accelerating the potential for the adoption of decision intelligence software. The Asia-Pacific decision intelligence market is developing, driven by the existence of international players enhancing their product footprint across data analytics and Artificial intelligence (AI). Startups in the region are raising funds to accelerate research and development on AI product enhancement, thereby supporting the potential for designing decision intelligence tools.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Decision Intelligence Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Decision Intelligence Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Decision Intelligence Market, highlighting leading vendors and their innovative profiles. These include 4Cast Systems Ltd., Actico GmbH, Advanced Micro Devices, Inc., Aera Technology, Amazon Web Services, Inc., Arm Limited, Automation Anywhere, Inc., Busigence Technologies, C3.ai, Inc., Clarifai, Inc., Cloudera, Inc., Cogneau Systems Private Limited, Enlitic, Inc., Google LLC by Alphabet Inc., H2O.ai., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, nextmv.io inc., NVIDIA Corporation, Oracle Corporation, Paretos GmbH, Peak AI Ltd., Provenir, Pyramid Analytics BV, Salesforce, Inc., SymphonyAI Group by SAIGroup, Tellius, Inc., Vidora Corp., and Xylem Inc..

Market Segmentation & Coverage

This research report categorizes the Decision Intelligence Market to forecast the revenues and analyze trends in each of the following sub-markets:

Model
- Human-Based
- Hybrid-Based
- Machine-Based

Provider
- Big Cloud Providers
- Start-Ups

End-Use
- BFSI
- Healthcare
- Media and Entertainment
- Oil and Gas
- Retail
- Transportation

Application
- Demand Forecasting
- Discovering Cause-and-Effect Links
- Logistics Optimization

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Decision Intelligence Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Decision Intelligence Market?

3. What are the technology trends and regulatory frameworks in the Decision Intelligence Market?

4. What is the market share of the leading vendors in the Decision Intelligence Market?

5. Which modes and strategic moves are suitable for entering the Decision Intelligence Market?

Product Code: MRR-035590447765

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Emergence of Big Data and the Increasing Demand to Make Precise Decisions
  - 5.1.1.2. Increase Approach Toward Hybrid Intelligence
  - 5.1.1.3. Growing Significant Adoption Among Financial Service Providers
- 5.1.2. Restraints
  - 5.1.2.1. Concerns Regarding High Cost and Data Breaches
- 5.1.3. Opportunities
  - 5.1.3.1. Introduction of Advanced Decision Intelligence Platforms to Improve Performance
  - 5.1.3.2. Operationalize Business Value Through More Effective XOps
- 5.1.4. Challenges
  - 5.1.4.1. Data Integrity Concerns Related to Multiple Data Sources
5.2. Market Segmentation Analysis
- 5.2.1. Model: Growing usage of machine-based decision intelligence to automate decision-making processes
- 5.2.2. End-Use: Rising potential of decision intelligence across the healthcare industry for enhancing patient care and operational efficiency
5.3. Market Trend Analysis
5.4. Cumulative Impact of Russia-Ukraine Conflict
5.5. Cumulative Impact of High Inflation
5.6. Porter's Five Forces Analysis
- 5.6.1. Threat of New Entrants
- 5.6.2. Threat of Substitutes
- 5.6.3. Bargaining Power of Customers
- 5.6.4. Bargaining Power of Suppliers
- 5.6.5. Industry Rivalry
5.7. Value Chain & Critical Path Analysis
5.8. Regulatory Framework Analysis
5.9. Client Customization

6. Decision Intelligence Market, by Model

6.1. Introduction
6.2. Human-Based
6.3. Hybrid-Based
6.4. Machine-Based

7. Decision Intelligence Market, by Provider

7.1. Introduction
7.2. Big Cloud Providers
7.3. Start-Ups

8. Decision Intelligence Market, by End-Use

8.1. Introduction
8.2. BFSI
8.3. Healthcare
8.4. Media and Entertainment
8.5. Oil and Gas
8.6. Retail
8.7. Transportation

9. Decision Intelligence Market, by Application

9.1. Introduction
9.2. Demand Forecasting
9.3. Discovering Cause-and-Effect Links
9.4. Logistics Optimization

10. Americas Decision Intelligence Market

10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Decision Intelligence Market

11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa Decision Intelligence Market

12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape

13.1. Market Share Analysis, 2023
13.2. FPNV Positioning Matrix, 2023
13.3. Competitive Scenario Analysis
- 13.3.1. Capco and Pyramid Analytics Announce Strategic Partnership to Accelerate Decision Intelligence in Financial Services
- 13.3.2. Alteryx Launches Automated Decision Intelligence Capabilities on the Snowflake Data Cloud
- 13.3.3. Decision Intelligence for Combat Readiness Now Available on SAP Store

14. Competitive Portfolio

14.1. Key Company Profiles
14.2. Key Product Portfolio