Decision Intelligence Market Size, Share, Trend & Forecast 2034

Decision Intelligence Market Outlook for 2024 to 2034

The decision intelligence industry is predicted to grow to US$ 64 billion by 2034, up from US$ 12.1 billion in 2024. The market is expected to develop at a notable CAGR of 18.1% from 2024 to 2034. The need for data-driven, well-informed decision-making to improve corporate competitiveness and efficiency drives the demand for decision intelligence.

The need for decision intelligence is expected to rise in the future due to increased data complexity and volume, pushing the need for sophisticated analytics and machine learning capabilities.

Furthermore, increased rivalry and constantly changing markets are projected to force firms to use decision intelligence to gather strategic insights and preserve agility. The rising emphasis on risk management, compliance, and customer experience is expected to boost the demand for decision intelligence solutions.

Analysis of the Decision Intelligence Market

The rising trend of integration of technology and structured procedures drives demand for decision intelligence to improve corporate decision-making and empower enterprises to achieve substantial business outcomes through enhanced analytical skills.
The growing complexity of data necessitates advanced decision intelligence tools for organizations to analyze, interpret, and act on this information effectively, which is likely to be crucial for businesses to remain competitive and prosperous.
A robust decision intelligence framework is essential for success in the competitive business climate, allowing one to use data and analytics to make well-informed judgments in an unpredictable and dynamic business environment.
The market for decision intelligence is fueled by the increasing demand for advanced data analysis techniques and machine learning capabilities across various industries, enabling informed, data-driven decision-making for improved outcomes and efficiency.
The global demand for decision intelligence solutions is on the rise due to the growing focus on risk management, compliance, and customer experience, with the market expected to grow as businesses increasingly utilize AI-powered technologies for informed decision-making.

Attributes	Details
Decision Intelligence Market Value for 2024	US$ 12.1 billion
Projected Market Value for 2034	US$ 64 billion
Value-based CAGR for 2024 to 2034	18.1%

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Historical Performance and Future Growth Prospects of the Decision Intelligence Market

This section highlights the expected developments in the market while providing a detailed analysis of the sector over the last five years. The market grew at a 22.8% CAGR during the historical period. The market is predicted to develop at a constant rate of 18.1% CAGR until 2034.

Historical CAGR	22.8%
Forecasted CAGR	18.1%

The field of decision intelligence is restricted by low data quality, improper integration, and privacy concerns, which hinder its adoption. Crucial factors that are anticipated to restrict the demand for decision intelligence over the forecast period are:

The decision intelligence solutions can become obsolete due to the rapidly growing technological improvements.
Data privacy and security problems impede the implementation of decision intelligence in various industries.
The need for decision intelligence is predicted to be hampered by the challenges associated with integrating various data sources and platforms.
The market’s growth is negatively affected by regulatory developments in data governance and analytics techniques.

Key Trends Influencing the Decision Intelligence Market

Convergence of AI and BI Hit the Roof in the Decision Intelligence Sector

The convergence of artificial intelligence (AI) with business intelligence (BI) tools is anticipated to gain considerable traction and is being increasingly adopted by organizations of all sizes.

This amalgamation has bestowed many advantages on businesses, as the integration of AI with BI tools provides more profound insights and analyses, empowering decision-makers to make well-informed and precise decisions.

This, in turn, results in increased efficiency, profitability, and a competitive advantage for the business. The global decision intelligence market is anticipated to witness significant growth in the forthcoming decade as more companies embrace AI-powered BI solutions to stay ahead of the curve.

Expansion of Predictive Analytics Drives the Demand for Decision Intelligence

Predictive analytics models are being used by organizations progressively for scenario planning and forecasting to keep ahead of the fast-paced commercial landscape. These predictive models help firms foresee risks, take advantage of opportunities, and make well-informed decisions through data analysis and machine learning algorithms.

Predictive analytics model sensation depends on creating a strict structure for the decision intelligence industry. This framework should include promising practices and procedures for gathering, processing, and analyzing data and plans to incorporate the knowledge from predictive analytics into regular business operations.

By putting the proper framework in place, organizations may use predictive analytics to enhance their decision-making skills and obtain a competitive advantage in the decision intelligence sector.

Rise of AI-driven Decision Making

Explainability is becoming increasingly necessary as AI-driven decision-making processes proliferate to maintain transparency and build consumer confidence. This has prompted the creation of decision intelligence, which offers more thorough justifications of AI-generated conclusions by fusing various artificial intelligence technologies with human analysis.

Because of the increased vulnerability, users are now able to assess and challenge the system's outputs and comprehend the reasoning behind the decisions. Decision intelligence is rising in importance because global marketplaces require more reliable and trustworthy decision-making procedures.

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Category-wise Insights

Comprehensive evaluations of certain decision intelligence market areas are provided in this section. The platform component segment and the on-premise deployment segment are the two primary foci of the research. Through a thorough analysis, this section aims to offer readers a deeper understanding of these areas and their significance within the broader market.

Global Decision Intelligence Market Shelters on Platform Component

Attributes	Details
Top Component	Platform
CAGR from 2024 to 2034	17.8%

The platform component segment is expected to dominate the decision intelligence market, exhibiting a significant CAGR of 17.8% from 2024 to 2034. However, it is noteworthy that the CAGR for the platform segment was 22.6% during the historical period. The development of platforms for decision intelligence can be attributed to several factors:

The rise in the popularity of integrated decision intelligence platforms, particularly cloud-based ones, is largely driven by their scalability, flexibility, and cost-effectiveness in the modern business landscape.
Integrating advanced analytics, AI, and machine learning capabilities into decision intelligence platforms is another significant development that has transformed decision-making processes.
Decision intelligence platforms now offer customizable options to meet diverse industry needs, enabling businesses to streamline operations, optimize processes, and enhance productivity and efficiency.
The focus on user-friendly interfaces and intuitive dashboards is gaining popularity. These enable businesses to make informed decisions quickly and efficiently, giving them a competitive edge.

On-Premise Deployment Bolsters Decision Intelligence Industry

Attributes	Details
Top Deployment Mode	On-premise
CAGR from 2024 to 2034	17.6%

The on-premise deployment segment is expected to rise at a CAGR of 17.6% from 2024 to 2034. The following factors drive the development of the on-premise segment:

Regulations, security constraints, and the desire for more control and protection over data have led businesses to adopt on-premises decision intelligence systems.
On-premises solutions are more suited for particular company requirements, while cloud-based choices may provide varying degrees of control.
The flexibility provided by on-premises solutions is another factor in decisions made by many businesses. One major benefit is that the program may be configured and customized to meet certain corporate demands.
For enterprises, pricing is important because cloud-based solutions can be expensive despite scalability. Businesses choose on-premises solutions because they are a more affordable option.

Country-wise Insights

The United States, China, Japan, South Korea, and the United Kingdom are some of the most predominant nations flourishing in the decision intelligence sector.

Countries	CAGR (2024 to 2034)
United States	18.4%
United Kingdom	19.3%
China	19.1%
Japan	18.9%
South Korea	19.6%

United States Drives the Demand for Decision Intelligence Platforms

The decision intelligence sector in the United States is predicted to develop gradually at a CAGR of 18.4% until 2034. The sector is expected to achieve a value of US$ 11.4 billion by 2034. The need for decision intelligence is being driven by the following factors, which drive the industry's growth:

The United States' strong technology environment encourages innovation and adoption across businesses, which drives demand for decision intelligence platforms.
The business climate in the United States is fast-paced, and firms compete fiercely.
To remain ahead of the competition, businesses use AI-powered platforms and sophisticated analytics to make defensible decisions based on data-driven insights.
Utilizing cutting-edge technology, organizations in the United States have obtained a competitive edge to prosper in a rapidly changing market.

Soaring Decision Management Systems in the United Kingdom Market

The decision management systems sector in the United Kingdom is expected to grow substantially over the coming years at a CAGR of 19.3% until 2034. The market is projected to be valued at US$ 2.6 billion, indicating a vast potential for growth and investment in this sector. Here are a few of the major trends:

The market for decision management systems is expanding due to the United Kingdom's emphasis on data-driven initiatives and digital transformation.
Organizations in the United Kingdom are utilizing decision management systems to improve customer experiences, streamline operations, and spur innovation, thanks to a booming business climate and growing acceptance of AI and analytics technology.
The United Kingdom's sectors are experiencing a sharp increase in demand for decision-management systems due to the emphasis on competitiveness, efficiency, and agility.

Chinese Decision Intelligence Industry Supports Cognitive Computing

The need for decision intelligence in China is expected to grow at a CAGR of 19.1% through 2034. The industry is likely to be valued at US$ 10.6 billion by 2034. The primary trends are:

Through investments in artificial intelligence research and development, the Chinese decision-intelligence business supports cognitive computing.
Chinese enterprises utilize large datasets and machine learning algorithm developments to include cognitive computing capabilities in decision intelligence systems.
More advanced analysis, pattern recognition, and predictive modeling are made possible, enabling businesses to get practical insights and make wise decisions in quickly changing business contexts.
Cognitive computing is critical in fostering innovation and competition in the Chinese decision intelligence sector.

Advancements in the Japanese Data-Driven Decision-Making Sector

The demand for decision intelligence in Japan is soaring dramatically; the data-driven decision making industry is anticipated to grow at a CAGR of 18.9% through 2034. Among the main motivators are:

Japan's data-driven decision-making industry is expected to grow significantly in the following decade.
Japanese businesses highly value innovation and technology. To improve decision-making, they invest in automation, analytics, and artificial intelligence (AI).
Personalized suggestions, predictive analytics, and real-time insights are made possible by integrating cutting-edge technology, which boosts productivity and competitiveness.
Furthermore, industry-academia partnerships promote research and development, accelerating the advancement of data-driven decision-making in Japan.

Demand for Decision Intelligence for Marketing in South Korea

Decision intelligence is expected to expand rapidly in South Korea, with a potential CAGR of 19.6% through 2034. This market is likely to reach a valuation of US$ 4.4 billion by 2034. The following are some of the main trends:

Decision intelligence for marketing is in high demand in South Korea as companies want to use data-driven tactics to gain a competitive edge.
Decision intelligence helps businesses optimize marketing efforts and improve customer engagement by focusing on precision targeting, tailored messaging, and customer segmentation.
Implementing artificial intelligence and advanced analytics technology enables marketers to glean meaningful insights from various datasets, spurring creativity and efficacy in advertising campaigns in South Korea.

Establishments Shaping the Outlook of the Decision Intelligence Industry

As organizations employ innovations and strategic efforts to reshape the way activities appear in the future, the global decision intelligence sector is undergoing an unprecedented shift.

Technological firms' research and development centers are at the forefront of developing innovative platforms, operational procedures, and technological improvements. Technological advancements are expedited when industry participants, academic institutions, and governmental bodies collaborate to create a dynamic ecosystem.

With their respective competence areas, Google, IBM Corp., and Intel drive the cognitive computing business. Google aggressively develops artificial intelligence (AI) for decision-making technologies, emphasizing scalability and efficiency gains.

Leading enterprise-wide business intelligence efforts, IBM specializes in creating intelligent technology for rapidly expanding business goals. Intel's expertise in decision management systems technology impacts software management advances, which is closely related to decision intelligence.

Their combined influence promotes creativity, effectiveness, and scalability in decision intelligence products. It is essential to developing the decision intelligence sector toward broad acceptance and the assembly of intelligent technology platforms.

These industry participants help to form the global decision intelligence market's general outlook for the upcoming ten years by encouraging innovation, market expansion, and technological advancements.

Recent Developments in the Decision Intelligence Industry

In February 2024, Mastercard announced Decision Intelligence Pro, which uses generative artificial intelligence to analyze transaction risks and prevent fraudulent activity, ensuring consumers have a safe payment experience.
In November 2023, SAS integrated its cloud-based decision-making solution, SAS Decision Builder, into Microsoft Fabric, aiming to improve user experience by offering a flexible and scalable solution.
In June 2023, Microsoft and P&G partnered to improve the efficiency of edge computing, artificial intelligence, and machine learning services in P&G's production facilities, aiming to boost productivity and reduce costs.
In June 2023, IBM acquired Databand.ai, providing businesses greater control over the software, which can be used as a SaaS or self-hosted solution, offering flexibility and customization options.

Key Companies in the Decision Intelligence Market

Google LLC
Metaphacts GmbH
Intel Corporation
Board International
International Business Machines Corporation
Microsoft Corporation
SAS Institute Inc.
Oracle Corporation
SAP SE
Salesforce.com, Inc.
Adobe Inc.
Teradata Corporation
TIBCO Software Inc.

Key Market Segmentation

By Component:

Platform
Solutions
Services

By Deployment Mode:

On-premise
Cloud

By Enterprise Size:

Large Enterprise
Small and Medium-sized Enterprises (SMEs)

By Industry Vertical:

Energy and Utilities
BFSI
IT and Telecom
Government
Healthcare
Manufacturing
Retail and Consumer Goods
Others

By Region:

North America
Latin America
Europe
East Asia
South Asia
Oceania
Middle East and Africa

Frequently Asked Questions

How Big is the Decision Intelligence Market?

The decision intelligence market is expected to be valued at US$ 12.1 billion in 2024.

Which is the top decision intelligence deployment mode?

The on-premise deployment mode leads the decision intelligence market.

Which Countries Dominate the Market?

The decision intelligence industry is controlled by the United States, China, Japan, South Korea, and the United Kingdom.

What is the Market Growth Outlook by 2034?

The decision intelligence market is anticipated to surpass US$ 64 billion by 2034.

What is the Sales Outlook for Decision Intelligence Solutions from 2024 to 2034?

The global decision intelligence industry is anticipated to grow at a CAGR of 18.1% from 2024 to 2034.

Table of Content

1. Executive Summary

1.1. Global Market Outlook

1.2. Demand-side Trends

1.3. Supply-side Trends

1.4. Technology Roadmap Analysis

1.5. Analysis and Recommendations

2. Market Overview

2.1. Market Coverage / Taxonomy

2.2. Market Definition / Scope / Limitations

3. Market Background

3.1. Market Dynamics

3.1.1. Drivers

3.1.2. Restraints

3.1.3. Opportunity

3.1.4. Trends

3.2. Scenario Forecast

3.2.1. Demand in Optimistic Scenario

3.2.2. Demand in Likely Scenario

3.2.3. Demand in Conservative Scenario

3.3. Opportunity Map Analysis

3.4. Investment Feasibility Matrix

3.5. PESTLE and Porter’s Analysis

3.6. Regulatory Landscape

3.6.1. By Key Regions

3.6.2. By Key Countries

3.7. Regional Parent Market Outlook

4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034

4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023

4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034

4.2.1. Y-o-Y Growth Trend Analysis

4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Component

5.1. Introduction / Key Findings

5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2019 to 2023

5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2024 to 2034

5.3.1. Platform

5.3.2. Solutions

5.3.3. Services

5.4. Y-o-Y Growth Trend Analysis By Component, 2019 to 2023

5.5. Absolute $ Opportunity Analysis By Component, 2024 to 2034

6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment Mode

6.1. Introduction / Key Findings

6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2019 to 2023

6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2024 to 2034

6.3.1. On-premise

6.3.2. Cloud

6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2019 to 2023

6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2024 to 2034

7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Enterprise Size

7.1. Introduction / Key Findings

7.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2019 to 2023

7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2024 to 2034

7.3.1. Large Enterprise

7.3.2. Small and Medium-sized Enterprises (SMEs)

7.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2019 to 2023

7.5. Absolute $ Opportunity Analysis By Enterprise Size, 2024 to 2034

8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Industry Vertical

8.1. Introduction / Key Findings

8.2. Historical Market Size Value (US$ Million) Analysis By Industry Vertical, 2019 to 2023

8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry Vertical, 2024 to 2034

8.3.1. Energy and Utilities

8.3.2. BFSI

8.3.3. IT and Telecom

8.3.4. Government

8.3.5. Healthcare

8.3.6. Manufacturing

8.3.7. Retail and Consumer Goods

8.3.8. Others

8.4. Y-o-Y Growth Trend Analysis By Industry Vertical, 2019 to 2023

8.5. Absolute $ Opportunity Analysis By Industry Vertical, 2024 to 2034

9. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region

9.1. Introduction

9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023

9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034

9.3.1. North America

9.3.2. Latin America

9.3.3. Western Europe

9.3.4. Eastern Europe

9.3.5. South Asia and Pacific

9.3.6. East Asia

9.3.7. Middle East and Africa

9.4. Market Attractiveness Analysis By Region

10. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

10.2.1. By Country

10.2.1.1. USA

10.2.1.2. Canada

10.2.2. By Component

10.2.3. By Deployment Mode

10.2.4. By Enterprise Size

10.2.5. By Industry Vertical

10.3. Market Attractiveness Analysis

10.3.1. By Country

10.3.2. By Component

10.3.3. By Deployment Mode

10.3.4. By Enterprise Size

10.3.5. By Industry Vertical

10.4. Key Takeaways

11. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

11.2.1. By Country

11.2.1.1. Brazil

11.2.1.2. Mexico

11.2.1.3. Rest of Latin America

11.2.2. By Component

11.2.3. By Deployment Mode

11.2.4. By Enterprise Size

11.2.5. By Industry Vertical

11.3. Market Attractiveness Analysis

11.3.1. By Country

11.3.2. By Component

11.3.3. By Deployment Mode

11.3.4. By Enterprise Size

11.3.5. By Industry Vertical

11.4. Key Takeaways

12. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

12.2.1. By Country

12.2.1.1. Germany

12.2.1.2. UK

12.2.1.3. France

12.2.1.4. Spain

12.2.1.5. Italy

12.2.1.6. Rest of Western Europe

12.2.2. By Component

12.2.3. By Deployment Mode

12.2.4. By Enterprise Size

12.2.5. By Industry Vertical

12.3. Market Attractiveness Analysis

12.3.1. By Country

12.3.2. By Component

12.3.3. By Deployment Mode

12.3.4. By Enterprise Size

12.3.5. By Industry Vertical

12.4. Key Takeaways

13. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

13.2.1. By Country

13.2.1.1. Poland

13.2.1.2. Russia

13.2.1.3. Czech Republic

13.2.1.4. Romania

13.2.1.5. Rest of Eastern Europe

13.2.2. By Component

13.2.3. By Deployment Mode

13.2.4. By Enterprise Size

13.2.5. By Industry Vertical

13.3. Market Attractiveness Analysis

13.3.1. By Country

13.3.2. By Component

13.3.3. By Deployment Mode

13.3.4. By Enterprise Size

13.3.5. By Industry Vertical

13.4. Key Takeaways

14. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

14.2.1. By Country

14.2.1.1. India

14.2.1.2. Bangladesh

14.2.1.3. Australia

14.2.1.4. New Zealand

14.2.1.5. Rest of South Asia and Pacific

14.2.2. By Component

14.2.3. By Deployment Mode

14.2.4. By Enterprise Size

14.2.5. By Industry Vertical

14.3. Market Attractiveness Analysis

14.3.1. By Country

14.3.2. By Component

14.3.3. By Deployment Mode

14.3.4. By Enterprise Size

14.3.5. By Industry Vertical

14.4. Key Takeaways

15. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

15.2.1. By Country

15.2.1.1. China

15.2.1.2. Japan

15.2.1.3. South Korea

15.2.2. By Component

15.2.3. By Deployment Mode

15.2.4. By Enterprise Size

15.2.5. By Industry Vertical

15.3. Market Attractiveness Analysis

15.3.1. By Country

15.3.2. By Component

15.3.3. By Deployment Mode

15.3.4. By Enterprise Size

15.3.5. By Industry Vertical

15.4. Key Takeaways

16. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country

16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023

16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034

16.2.1. By Country

16.2.1.1. GCC Countries

16.2.1.2. South Africa

16.2.1.3. Israel

16.2.1.4. Rest of MEA

16.2.2. By Component

16.2.3. By Deployment Mode

16.2.4. By Enterprise Size

16.2.5. By Industry Vertical

16.3. Market Attractiveness Analysis

16.3.1. By Country

16.3.2. By Component

16.3.3. By Deployment Mode

16.3.4. By Enterprise Size

16.3.5. By Industry Vertical

16.4. Key Takeaways

17. Key Countries Market Analysis

17.1. USA

17.1.1. Pricing Analysis

17.1.2. Market Share Analysis, 2023

17.1.2.1. By Component

17.1.2.2. By Deployment Mode

17.1.2.3. By Enterprise Size

17.1.2.4. By Industry Vertical

17.2. Canada

17.2.1. Pricing Analysis

17.2.2. Market Share Analysis, 2023

17.2.2.1. By Component

17.2.2.2. By Deployment Mode

17.2.2.3. By Enterprise Size

17.2.2.4. By Industry Vertical

17.3. Brazil

17.3.1. Pricing Analysis

17.3.2. Market Share Analysis, 2023

17.3.2.1. By Component

17.3.2.2. By Deployment Mode

17.3.2.3. By Enterprise Size

17.3.2.4. By Industry Vertical

17.4. Mexico

17.4.1. Pricing Analysis

17.4.2. Market Share Analysis, 2023

17.4.2.1. By Component

17.4.2.2. By Deployment Mode

17.4.2.3. By Enterprise Size

17.4.2.4. By Industry Vertical

17.5. Germany

17.5.1. Pricing Analysis

17.5.2. Market Share Analysis, 2023

17.5.2.1. By Component

17.5.2.2. By Deployment Mode

17.5.2.3. By Enterprise Size

17.5.2.4. By Industry Vertical

17.6. UK

17.6.1. Pricing Analysis

17.6.2. Market Share Analysis, 2023

17.6.2.1. By Component

17.6.2.2. By Deployment Mode

17.6.2.3. By Enterprise Size

17.6.2.4. By Industry Vertical

17.7. France

17.7.1. Pricing Analysis

17.7.2. Market Share Analysis, 2023

17.7.2.1. By Component

17.7.2.2. By Deployment Mode

17.7.2.3. By Enterprise Size

17.7.2.4. By Industry Vertical

17.8. Spain

17.8.1. Pricing Analysis

17.8.2. Market Share Analysis, 2023

17.8.2.1. By Component

17.8.2.2. By Deployment Mode

17.8.2.3. By Enterprise Size

17.8.2.4. By Industry Vertical

17.9. Italy

17.9.1. Pricing Analysis

17.9.2. Market Share Analysis, 2023

17.9.2.1. By Component

17.9.2.2. By Deployment Mode

17.9.2.3. By Enterprise Size

17.9.2.4. By Industry Vertical

17.10. Poland

17.10.1. Pricing Analysis

17.10.2. Market Share Analysis, 2023

17.10.2.1. By Component

17.10.2.2. By Deployment Mode

17.10.2.3. By Enterprise Size

17.10.2.4. By Industry Vertical

17.11. Russia

17.11.1. Pricing Analysis

17.11.2. Market Share Analysis, 2023

17.11.2.1. By Component

17.11.2.2. By Deployment Mode

17.11.2.3. By Enterprise Size

17.11.2.4. By Industry Vertical

17.12. Czech Republic

17.12.1. Pricing Analysis

17.12.2. Market Share Analysis, 2023

17.12.2.1. By Component

17.12.2.2. By Deployment Mode

17.12.2.3. By Enterprise Size

17.12.2.4. By Industry Vertical

17.13. Romania

17.13.1. Pricing Analysis

17.13.2. Market Share Analysis, 2023

17.13.2.1. By Component

17.13.2.2. By Deployment Mode

17.13.2.3. By Enterprise Size

17.13.2.4. By Industry Vertical

17.14. India

17.14.1. Pricing Analysis

17.14.2. Market Share Analysis, 2023

17.14.2.1. By Component

17.14.2.2. By Deployment Mode

17.14.2.3. By Enterprise Size

17.14.2.4. By Industry Vertical

17.15. Bangladesh

17.15.1. Pricing Analysis

17.15.2. Market Share Analysis, 2023

17.15.2.1. By Component

17.15.2.2. By Deployment Mode

17.15.2.3. By Enterprise Size

17.15.2.4. By Industry Vertical

17.16. Australia

17.16.1. Pricing Analysis

17.16.2. Market Share Analysis, 2023

17.16.2.1. By Component

17.16.2.2. By Deployment Mode

17.16.2.3. By Enterprise Size

17.16.2.4. By Industry Vertical

17.17. New Zealand

17.17.1. Pricing Analysis

17.17.2. Market Share Analysis, 2023

17.17.2.1. By Component

17.17.2.2. By Deployment Mode

17.17.2.3. By Enterprise Size

17.17.2.4. By Industry Vertical

17.18. China

17.18.1. Pricing Analysis

17.18.2. Market Share Analysis, 2023

17.18.2.1. By Component

17.18.2.2. By Deployment Mode

17.18.2.3. By Enterprise Size

17.18.2.4. By Industry Vertical

17.19. Japan

17.19.1. Pricing Analysis

17.19.2. Market Share Analysis, 2023

17.19.2.1. By Component

17.19.2.2. By Deployment Mode

17.19.2.3. By Enterprise Size

17.19.2.4. By Industry Vertical

17.20. South Korea

17.20.1. Pricing Analysis

17.20.2. Market Share Analysis, 2023

17.20.2.1. By Component

17.20.2.2. By Deployment Mode

17.20.2.3. By Enterprise Size

17.20.2.4. By Industry Vertical

17.21. GCC Countries

17.21.1. Pricing Analysis

17.21.2. Market Share Analysis, 2023

17.21.2.1. By Component

17.21.2.2. By Deployment Mode

17.21.2.3. By Enterprise Size

17.21.2.4. By Industry Vertical

17.22. South Africa

17.22.1. Pricing Analysis

17.22.2. Market Share Analysis, 2023

17.22.2.1. By Component

17.22.2.2. By Deployment Mode

17.22.2.3. By Enterprise Size

17.22.2.4. By Industry Vertical

17.23. Israel

17.23.1. Pricing Analysis

17.23.2. Market Share Analysis, 2023

17.23.2.1. By Component

17.23.2.2. By Deployment Mode

17.23.2.3. By Enterprise Size

17.23.2.4. By Industry Vertical

18. Market Structure Analysis

18.1. Competition Dashboard

18.2. Competition Benchmarking

18.3. Market Share Analysis of Top Players

18.3.1. By Regional

18.3.2. By Component

18.3.3. By Deployment Mode

18.3.4. By Enterprise Size

18.3.5. By Industry Vertical

19. Competition Analysis

19.1. Competition Deep Dive

19.1.1. Google LLC

19.1.1.1. Overview

19.1.1.2. Product Portfolio

19.1.1.3. Profitability by Market Segments

19.1.1.4. Sales Footprint

19.1.1.5. Strategy Overview

19.1.1.5.1. Marketing Strategy

19.1.2. Metaphacts GmbH

19.1.2.1. Overview

19.1.2.2. Product Portfolio

19.1.2.3. Profitability by Market Segments

19.1.2.4. Sales Footprint

19.1.2.5. Strategy Overview

19.1.2.5.1. Marketing Strategy

19.1.3. Intel Corporation

19.1.3.1. Overview

19.1.3.2. Product Portfolio

19.1.3.3. Profitability by Market Segments

19.1.3.4. Sales Footprint

19.1.3.5. Strategy Overview

19.1.3.5.1. Marketing Strategy

19.1.4. Board International

19.1.4.1. Overview

19.1.4.2. Product Portfolio

19.1.4.3. Profitability by Market Segments

19.1.4.4. Sales Footprint

19.1.4.5. Strategy Overview

19.1.4.5.1. Marketing Strategy

19.1.5. International Business Machines Corporation

19.1.5.1. Overview

19.1.5.2. Product Portfolio

19.1.5.3. Profitability by Market Segments

19.1.5.4. Sales Footprint

19.1.5.5. Strategy Overview

19.1.5.5.1. Marketing Strategy

19.1.6. Clarifai, Inc

19.1.6.1. Overview

19.1.6.2. Product Portfolio

19.1.6.3. Profitability by Market Segments

19.1.6.4. Sales Footprint

19.1.6.5. Strategy Overview

19.1.6.5.1. Marketing Strategy

19.1.7. Microsoft Corporation

19.1.7.1. Overview

19.1.7.2. Product Portfolio

19.1.7.3. Profitability by Market Segments

19.1.7.4. Sales Footprint

19.1.7.5. Strategy Overview

19.1.7.5.1. Marketing Strategy

19.1.8. Diwo.ai

19.1.8.1. Overview

19.1.8.2. Product Portfolio

19.1.8.3. Profitability by Market Segments

19.1.8.4. Sales Footprint

19.1.8.5. Strategy Overview

19.1.8.5.1. Marketing Strategy

19.1.9. H2O.ai

19.1.9.1. Overview

19.1.9.2. Product Portfolio

19.1.9.3. Profitability by Market Segments

19.1.9.4. Sales Footprint

19.1.9.5. Strategy Overview

19.1.9.5.1. Marketing Strategy

19.1.10. Oracle Corporation

19.1.10.1. Overview

19.1.10.2. Product Portfolio

19.1.10.3. Profitability by Market Segments

19.1.10.4. Sales Footprint

19.1.10.5. Strategy Overview

19.1.10.5.1. Marketing Strategy

20. Assumptions & Acronyms Used

21. Research Methodology

Decision Intelligence Market

Decision Intelligence Market Forecast by Platform, Solutions, and Services from 2024 to 2034