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REPORT SCOPE & OVERVIEW

The Decision Intelligence Market size was USD 10 billion in 2022 and is expected to Reach USD 37.5 billion by 2030 and grow at a CAGR of 18 % over the forecast period of 2023-2030

Decision Intelligence is an emerging field that combines various advanced technologies like artificial intelligence, machine learning, data analytics, and decision modeling to enhance decision-making processes. A key component of decision intelligence is the ongoing evaluation of choice outcomes and their improvement through a feedback mechanism. Additionally, it is projected that a sizable percentage of the growth in revenue for the global decision intelligence market would be driven by the expanding demand to lower particular risks associated with human decision-making. The goal of DI is to provide data-driven insights, optimize decision outcomes, and improve overall business performance. The data analysis process can be automated, which will speed up response times and increase accuracy by drastically cutting down on the time required to make important judgments. In order to personalize their services and improve the overall customer experience, businesses can use DI to evaluate client data and preferences. Fraud detection, credit risk evaluation, consumer segmentation, and investment strategies all use DI. also It can help medical diagnosis, enhance patient care, and examine patient data for better treatment outcomes. DI is used for demand forecasting, inventory management, pricing optimization, and personalized marketing. According to a 2022 report by Gartner, 33% of large organizations will have analysts practicing decision intelligence by 2023. This means that a significant portion of the corporate population will be using decision intelligence tools to make better decisions.

Decision Intelligence Market Revenue Analysis

MARKET DYNAMICS

KEY DRIVERS

  • Growing demand for data-driven decision-making

  • Need to improve operational efficiency and effectiveness

  • Development of new big data technologies

Businesses are increasingly looking for ways to use data to make better decisions. This is being driven by the need to improve operational efficiency, reduce costs, and gain a competitive advantage.

RESTRAIN

  • High cost of implementing decision intelligence solutions

  • Lack of skilled resources

The high cost of implementing decision intelligence solutions is one of the biggest restraints in the decision intelligence market. This is because decision intelligence solutions require a significant investment in hardware, software, and expertise.

OPPORTUNITY

  • Rapid developments in big data technology open up lucrative opportunities for market expansion.

  • Increasing adoption of AI and ML

The rapid development of big data technology has made it possible to collect, store, and analyze large datasets more easily than ever before. This has led to a number of new opportunities for decision intelligence like increased efficiency, and Reduce Cost.

CHALLENGES

  • Integration of decision intelligence solutions with existing systems

If decision intelligence solutions are not properly integrated with existing systems, they may not be able to access the data they need to make accurate predictions or recommendations. This can lead to poor decision-making and can undermine the value of the decision intelligence solution.

IMPACT OF RUSSIAN UKRAINE WAR

The decision intelligence market has been severely affected by the Russian-Ukrainian conflict. Supply lines for many of the parts used in DI solutions have been interrupted by the fighting. As a result, shipments have been delayed and equipment prices have increased. The cost of energy, which is a significant factor in the cost of operating DI solutions, has also grown as a result of the war. This has increased the cost of deploying and running DI solutions. IBM, Oracle, and SAP are a few of the businesses that have been impacted by the war. Businesses all throughout the world use the DI solutions that these companies offer. Oracle said in April 2022 that it would stop all new sales of its goods and services in Russia. and in February 2022, IBM announced that it was suspending its operations in Russia. Overall, due to the Russian-Ukraine war, It is expected to slow down the growth in the near term.

IMPACT OF ONGOING RECESSION

Businesses are expected to decrease their investment in DI as they concentrate on reducing expenses. This could result in skill and resource scarcity for DI, which would make it more challenging for organizations to make wise decisions. As firms cut back on IT investment, the technology sector has been one of the most hit by the crisis. Due to the fall in demand for their goods and services, this is having a detrimental effect on DI firms. In 2023, fewer DI job vacancies are anticipated, by a 10% decrease. New chances for DI are also being produced by the recession. For instance, companies may need to employ DI to find new ways to cut costs or to create more innovative products or services. recession-proof. DI teams may need to shift their focus from long-term growth initiatives to short-term survival strategies. This could mean using DI to optimize operations, reduce costs, or improve cash flow.

KEY MARKET SEGMENTS 

By Component

  • Platform

  • Solutions

  • Services

 By Deployment Mode

  • On-premise

  • Cloud

 By Enterprise Size

  • Large Enterprise

  • Small and Medium-sized Enterprises

By Industry Vertical

  • Energy

  • Utilities

  • BFSI

  • IT

  • Telecom

  • Government

  • Healthcare

  • Manufacturing

  • Retail

  • Consumer Goods

  • Others

Decision Intelligence Market Segmentation Analysis

Region Coverage:

North America

  • USA

  • 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

REGIONAL ANALYSIS

North America dominated the decision intelligence market size in 2021 and is anticipated to maintain its dominance during the forecast period. Due to the use of cutting-edge technologies like artificial intelligence, machine learning, intelligent apps, and natural language queries to transform data dashboards and business analytics into more comprehensive decision-support platforms. The United States is the largest market for decision intelligence in North America, followed by Canada. The growing adoption of cloud computing, big data analytics and increasing demand for real-time decision-making, and the need to improve operational efficiency are also contributing to the growth of the market.is driving the growth of the decision intelligence market in North America.

Asia-Pacific is predicted to experience the highest growth in the coming years. Due to its abundance of data scientists and engineers, as well as the potential for massive automation and AI/ML projects, Businesses throughout the region use engineered decision-making to make significant and reliable decisions that are in their best interests. China, followed by India and Japan, has the largest market in the Asia Pacific for decision intelligence. The decision intelligence market in Asia Pacific is expanding as a result of rising digital technology adoption and the rising need for customer-centric decision-making. The market is expanding as a result of the growing demand to increase operational effectiveness and the increased emphasis on risk management.

KEY PLAYERS

The major key players in the Decision Intelligence Market are, Google LLC, Clarifai, Inc., Diwo.ai, International Business Machines Corporation, Oracle Corporation, H2O.ai, Board International, Metaphacts GmbH, Microsoft Corporation, Intel Corporation, and other players.

RECENT DEVELOPMENTS

Diwo:

In July 2022, The Diwo decision intelligence platform, introduced by Diwo, helps shorten the time it takes for business users to act on recommendations made using artificial intelligence. It provides the decision-maker with actionable suggestions, who then simply reviews them to understand the trade-offs and the business impact, confirms them, and implements them.

Google Cloud:

In March 8, 2023, Google Cloud announced the acquisition of Dataproc AI, a company that provides a managed platform for running Apache Spark and Apache Hadoop jobs on the Google Cloud Platform

Decision Intelligence Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 10 Bn
Market Size by 2030  US$ 37.5 Bn
CAGR   CAGR of 18% From 2023 to 2030
Base Year 2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Component (Platform, Solutions, Services)
• By Deployment Mode (On-premise, Cloud)
• By Enterprise Size (Large Enterprise, Small and Medium-sized Enterprises)
• By Industry Vertical (Energy, Utilities, BFSI, IT, Telecom, Government, Healthcare, Manufacturing, Retail, Consumer Goods, 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 Google LLC, Clarifai, Inc., Diwo.ai, International Business Machines Corporation, Oracle Corporation, H2O.ai, Board International, Metaphacts GmbH, Microsoft Corporation, Intel Corporation
Key Drivers • Growing demand for data-driven decision-making
• Need to improve operational efficiency and effectiveness
• Development of new big data technologies
Market Restraints • High cost of implementing decision intelligence solutions
• Lack of skilled resources

 

Frequently Asked Questions

Ans. The Compound Annual Growth rate for Decision Intelligence Market over the forecast period is 18 %.

Ans. USD 37.5 Billion is the Company's projected Decision Intelligence Market size by 2030.

Ans. Market players operating in the decision intelligence market include Google LLC, Oracle Corporation, Microsoft Corporation, Board International, Metaphacts GmbH, H2O.ai, International Business Machines Corporation, Intel Corporation, Diwo.ai, and Clarifai, Inc.

Ans. North America is the largest regional market for decision intelligence market and is expected to retain its position during the forecast period, owing to advanced technologies such as AI, ML, intelligent apps, and natural language queries to transform data dashboards and business analytics into more comprehensive decision-support platforms.

Ans. Factors such as big data technology advancements for practical business intelligence and the advent of ML and AL are enabling a variety of sectors to fully utilize decision intelligence primarily upcoming trends of Decision Intelligence.

TABLE OF CONTENT

1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. Decision Intelligence Market Segmentation, by Component
8.1 Infrastructure
8.2 Services

9. Decision Intelligence Market Segmentation, by Deployment
9.1 Centralized
9.2 Distributed

10. Decision Intelligence Market Segmentation, by Enterprise Size
10.1 Large Enterprise
10.2 Small and Medium-sized Enterprises

11. Decision Intelligence Market Segmentation, by Industry Vertical
11.1 Energy
11.2 Utilities
11.3 BFSI
11.4 IT
11.5 Telecom
11.6 Government
11.7 Healthcare
11.8 Manufacturing
11.9 Retail
11.10 Consumer Goods
11.11 Others

12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Decision Intelligence Market by Country
12.2.2North America Decision Intelligence Market by Component
12.2.3 North America Decision Intelligence Market by Deployment
12.2.4 North America Decision Intelligence Market by Enterprise Size
12.2.5 North America Decision Intelligence Market by Industry Vertical
12.2.6 USA
12.2.6.1 USA Decision Intelligence Market by Component
12.2.6.2 USA Decision Intelligence Market by Deployment
12.2.6.3 USA Decision Intelligence Market by Enterprise Size
12.2.6.4 USA Decision Intelligence Market by Industry Vertical
12.2.7 Canada
12.2.7.1 Canada Decision Intelligence Market by Component
12.2.7.2 Canada Decision Intelligence Market by Deployment
12.2.7.3 Canada Decision Intelligence Market by Enterprise Size
12.2.7.4 Canada Decision Intelligence Market by Industry Vertical
12.2.8 Mexico
12.2.8.1 Mexico Decision Intelligence Market by Component
12.2.8.2 Mexico Decision Intelligence Market by Deployment
12.2.8.3 Mexico Decision Intelligence Market by Enterprise Size
12.2.8.4 Mexico Decision Intelligence Market by Industry Vertical
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Decision Intelligence Market by Country
12.3.1.2 Eastern Europe Decision Intelligence Market by Component
12.3.1.3 Eastern Europe Decision Intelligence Market by Deployment
12.3.1.4 Eastern Europe Decision Intelligence Market by Enterprise Size
12.3.1.5 Eastern Europe Decision Intelligence Market by Industry Vertical
12.3.1.6 Poland
12.3.1.6.1 Poland Decision Intelligence Market by Component
12.3.1.6.2 Poland Decision Intelligence Market by Deployment
12.3.1.6.3 Poland Decision Intelligence Market by Enterprise Size
12.3.1.6.4 Poland Decision Intelligence Market by Industry Vertical
12.3.1.7 Romania
12.3.1.7.1 Romania Decision Intelligence Market by Component
12.3.1.7.2 Romania Decision Intelligence Market by Deployment
12.3.1.7.3 Romania Decision Intelligence Market by Enterprise Size
12.3.1.7.4 Romania Decision Intelligence Market by Industry Vertical
12.3.1.8 Hungary
12.3.1.8.1 Hungary Decision Intelligence Market by Component
12.3.1.8.2 Hungary Decision Intelligence Market by Deployment
12.3.1.8.3 Hungary Decision Intelligence Market by Enterprise Size
12.3.1.8.4 Hungary Decision Intelligence Market by Industry Vertical
12.3.1.9 Turkey
12.3.1.9.1 Turkey Decision Intelligence Market by Component
12.3.1.9.2 Turkey Decision Intelligence Market by Deployment
12.3.1.9.3 Turkey Decision Intelligence Market by Enterprise Size
12.3.1.9.4 Turkey Decision Intelligence Market by Industry Vertical
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Decision Intelligence Market by Component
12.3.1.10.2 Rest of Eastern Europe Decision Intelligence Market by Deployment
12.3.1.10.3 Rest of Eastern Europe Decision Intelligence Market by Enterprise Size
12.3.1.10.4 Rest of Eastern Europe Decision Intelligence Market by Industry Vertical
12.3.2 Western Europe
12.3.2.1 Western Europe Decision Intelligence Market by Country
12.3.2.2 Western Europe Decision Intelligence Market by Component
12.3.2.3 Western Europe Decision Intelligence Market by Deployment
12.3.2.4 Western Europe Decision Intelligence Market by Enterprise Size
12.3.2.5 Western Europe Decision Intelligence Market by Industry Vertical
12.3.2.6 Germany
12.3.2.6.1 Germany Decision Intelligence Market by Component
12.3.2.6.2 Germany Decision Intelligence Market by Deployment
12.3.2.6.3 Germany Decision Intelligence Market by Enterprise Size
12.3.2.6.4 Germany Decision Intelligence Market by Industry Vertical
12.3.2.7 France
12.3.2.7.1 France Decision Intelligence Market by Component
12.3.2.7.2 France Decision Intelligence Market by Deployment
12.3.2.7.3 France Decision Intelligence Market by Enterprise Size
12.3.2.7.4 France Decision Intelligence Market by Industry Vertical
12.3.2.8 UK
12.3.2.8.1 UK Decision Intelligence Market by Component
12.3.2.8.2 UK Decision Intelligence Market by Deployment
12.3.2.8.3 UK Decision Intelligence Market by Enterprise Size
12.3.2.8.4 UK Decision Intelligence Market by Industry Vertical
12.3.2.9 Italy
12.3.2.9.1 Italy Decision Intelligence Market by Component
12.3.2.9.2 Italy Decision Intelligence Market by Deployment
12.3.2.9.3 Italy Decision Intelligence Market by Enterprise Size
12.3.2.9.4 Italy Decision Intelligence Market by Industry Vertical
12.3.2.10 Spain
12.3.2.10.1 Spain Decision Intelligence Market by Component
12.3.2.10.2 Spain Decision Intelligence Market by Deployment
12.3.2.10.3 Spain Decision Intelligence Market by Enterprise Size
12.3.2.10.4 Spain Decision Intelligence Market by Industry Vertical
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Decision Intelligence Market by Component
12.3.2.11.2 Netherlands Decision Intelligence Market by Deployment
12.3.2.11.3 Netherlands Decision Intelligence Market by Enterprise Size
12.3.2.11.4 Netherlands Decision Intelligence Market by Industry Vertical
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Decision Intelligence Market by Component
12.3.2.12.2 Switzerland Decision Intelligence Market by Deployment
12.3.2.12.3 Switzerland Decision Intelligence Market by Enterprise Size
12.3.2.12.4 Switzerland Decision Intelligence Market by Industry Vertical
12.3.2.13 Austria
12.3.2.13.1 Austria Decision Intelligence Market by Component
12.3.2.13.2 Austria Decision Intelligence Market by Deployment
12.3.2.13.3 Austria Decision Intelligence Market by Enterprise Size
12.3.2.13.4 Austria Decision Intelligence Market by Industry Vertical
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Decision Intelligence Market by Component
12.3.2.14.2 Rest of Western Europe Decision Intelligence Market by Deployment
12.3.2.14.3 Rest of Western Europe Decision Intelligence Market by Enterprise Size
12.3.2.14.4 Rest of Western Europe Decision Intelligence Market by Industry Vertical
12.4 Asia-Pacific
12.4.1 Asia Pacific Decision Intelligence Market by Country
12.4.2 Asia Pacific Decision Intelligence Market by Component
12.4.3 Asia Pacific Decision Intelligence Market by Deployment
12.4.4 Asia Pacific Decision Intelligence Market by Enterprise Size
12.4.5 Asia Pacific Decision Intelligence Market by Industry Vertical
12.4.6 China
12.4.6.1 China Decision Intelligence Market by Component
12.4.6.2 China Decision Intelligence Market by Deployment
12.4.6.3 China Decision Intelligence Market by Enterprise Size
12.4.6.4 China Decision Intelligence Market by Industry Vertical
12.4.7 India
12.4.7.1 India Decision Intelligence Market by Component
12.4.7.2 India Decision Intelligence Market by Deployment
12.4.7.3 India Decision Intelligence Market by Enterprise Size
12.4.7.4 India Decision Intelligence Market by Industry Vertical
12.4.8 Japan
12.4.8.1 Japan Decision Intelligence Market by Component
12.4.8.2 Japan Decision Intelligence Market by Deployment
12.4.8.3 Japan Decision Intelligence Market by Enterprise Size
12.4.8.4 Japan Decision Intelligence Market by Industry Vertical
12.4.9 South Korea
12.4.9.1 South Korea Decision Intelligence Market by Component
12.4.9.2 South Korea Decision Intelligence Market by Deployment
12.4.9.3 South Korea Decision Intelligence Market by Enterprise Size
12.4.9.4 South Korea Decision Intelligence Market by Industry Vertical
12.4.10 Vietnam
12.4.10.1 Vietnam Decision Intelligence Market by Component
12.4.10.2 Vietnam Decision Intelligence Market by Deployment
12.4.10.3 Vietnam Decision Intelligence Market by Enterprise Size
12.4.10.4 Vietnam Decision Intelligence Market by Industry Vertical
12.4.11 Singapore
12.4.11.1 Singapore Decision Intelligence Market by Component
12.4.11.2 Singapore Decision Intelligence Market by Deployment
12.4.11.3 Singapore Decision Intelligence Market by Enterprise Size
12.4.11.4 Singapore Decision Intelligence Market by Industry Vertical
12.4.12 Australia
12.4.12.1 Australia Decision Intelligence Market by Component
12.4.12.2 Australia Decision Intelligence Market by Deployment
12.4.12.3 Australia Decision Intelligence Market by Enterprise Size
12.4.12.4 Australia Decision Intelligence Market by Industry Vertical
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Decision Intelligence Market by Component
12.4.13.2 Rest of Asia-Pacific APAC Decision Intelligence Market by Deployment
12.4.13.3 Rest of Asia-Pacific Decision Intelligence Market by Enterprise Size
12.4.13.4 Rest of Asia-Pacific Decision Intelligence Market by Industry Vertical
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Decision Intelligence Market by Country
12.5.1.2 Middle East Decision Intelligence Market by Component
12.5.1.3 Middle East Decision Intelligence Market by Deployment
12.5.1.4 Middle East Decision Intelligence Market by Enterprise Size
12.5.1.5 Middle East Decision Intelligence Market by Industry Vertical
12.5.1.6 UAE
12.5.1.6.1 UAE Decision Intelligence Market by Component
12.5.1.6.2 UAE Decision Intelligence Market by Deployment
12.5.1.6.3 UAE Decision Intelligence Market by Enterprise Size
12.5.1.6.4 UAE Decision Intelligence Market by Industry Vertical
12.5.1.7 Egypt
12.5.1.7.1 Egypt Decision Intelligence Market by Component
12.5.1.7.2 Egypt Decision Intelligence Market by Deployment
12.5.1.7.3 Egypt Decision Intelligence Market by Enterprise Size
12.5.1.7.4 Egypt Decision Intelligence Market by Industry Vertical
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Decision Intelligence Market by Component
12.5.1.8.2 Saudi Arabia Decision Intelligence Market by Deployment
12.5.1.8.3 Saudi Arabia Decision Intelligence Market by Enterprise Size
12.5.1.8.4 Saudi Arabia Decision Intelligence Market by Industry Vertical
12.5.1.9 Qatar
12.5.1.9.1 Qatar Decision Intelligence Market by Component
12.5.1.9.2 Qatar Decision Intelligence Market by Deployment
12.5.1.9.3 Qatar Decision Intelligence Market by Enterprise Size
12.5.1.9.4 Qatar Decision Intelligence Market by Industry Vertical
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Decision Intelligence Market by Component
12.5.1.10.2 Rest of Middle East Decision Intelligence Market by Deployment
12.5.1.10.3 Rest of Middle East Decision Intelligence Market by Enterprise Size
12.5.1.10.4 Rest of Middle East Decision Intelligence Market by Industry Vertical
12.5.2. Africa
12.5.2.1 Africa Decision Intelligence Market by Country
12.5.2.2 Africa Decision Intelligence Market by Component
12.5.2.3 Africa Decision Intelligence Market by Deployment
12.5.2.4 Africa Decision Intelligence Market by Enterprise Size
12.5.2.5 Africa Decision Intelligence Market by Industry Vertical
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Decision Intelligence Market by Component
12.5.2.6.2 Nigeria Decision Intelligence Market by Deployment
12.5.2.6.3 Nigeria Decision Intelligence Market by Enterprise Size
12.5.2.6.4 Nigeria Decision Intelligence Market by Industry Vertical
12.5.2.7 South Africa
12.5.2.7.1 South Africa Decision Intelligence Market by Component
12.5.2.7.2 South Africa Decision Intelligence Market by Deployment
12.5.2.7.3 South Africa Decision Intelligence Market by Enterprise Size
12.5.2.7.4 South Africa Decision Intelligence Market by Industry Vertical
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Decision Intelligence Market by Component
12.5.2.8.2 Rest of Africa Decision Intelligence Market by Deployment
12.5.2.8.3 Rest of Africa Decision Intelligence Market by Enterprise Size
12.5.2.8.4 Rest of Africa Decision Intelligence Market by Industry Vertical
12.6. Latin America
12.6.1 Latin America Decision Intelligence Market by Country
12.6.2 Latin America Decision Intelligence Market by Component
12.6.3 Latin America Decision Intelligence Market by Deployment
12.6.4 Latin America Decision Intelligence Market by Enterprise Size
12.6.5 Latin America Decision Intelligence Market by Industry Vertical
12.6.6 Brazil
12.6.6.1 Brazil Decision Intelligence Market by Component
12.6.6.2 Brazil Africa Decision Intelligence Market by Deployment
12.6.6.3 Brazil Decision Intelligence Market by Enterprise Size
12.6.6.4 Brazil Decision Intelligence Market by Industry Vertical
12.6.7 Argentina
12.6.7.1 Argentina Decision Intelligence Market by Component
12.6.7.2 Argentina Decision Intelligence Market by Deployment
12.6.7.3 Argentina Decision Intelligence Market by Enterprise Size
12.6.7.4 Argentina Decision Intelligence Market by Industry Vertical
12.6.8 Colombia
12.6.8.1 Colombia Decision Intelligence Market by Component
12.6.8.2 Colombia Decision Intelligence Market by Deployment
12.6.8.3 Colombia Decision Intelligence Market by Enterprise Size
12.6.8.4 Colombia Decision Intelligence Market by Industry Vertical
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Decision Intelligence Market by Component
12.6.9.2 Rest of Latin America Decision Intelligence Market by Deployment
12.6.9.3 Rest of Latin America Decision Intelligence Market by Enterprise Size
12.6.9.4 Rest of Latin America Decision Intelligence Market by Industry Vertical

13 Company profile
13.1 Google LLC
13.1.1 Company Overview
13.1.2 Financials
13.1.3Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Clarifai, Inc.
13.2.1 Company Overview
13.2.2 Financials
13.2.3Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Diwo.ai
13.3.1 Company Overview
13.3.2 Financials
13.3.3Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 International Business Machines Corporation
13.4.1 Company Overview
13.4.2 Financials
13.4.3Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Oracle Corporation
13.5.1 Company Overview
13.5.2 Financials
13.5.3Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 H2O.ai
13.6.1 Company Overview
13.6.2 Financials
13.6.3Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Board International
13.7.1 Company Overview
13.7.2 Financials
13.7.3Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Metaphacts
13.8.1 Company Overview
13.8.2 Financial
13.8.3Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 GmbH
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Intel Corporation
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View

14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 End-Use News
14.3.2 Company News
14.3.3 Mergers & Acquisitions

15. USE Cases and Best Practices

16. 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.

Secondary Research

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.

Primary Research

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.

Data Bank Validation

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.

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