The Customer Intelligence Platform Market size was USD 1.9 billion in 2022 and is expected to Reach USD 15.4 billion by 2030 and grow at a CAGR of 30% over the forecast period of 2023-2030.
A technology solution known as a customer intelligence platform gathers, examines, and deciphers information on customer behaviour and interactions across numerous touchpoints. collecting information from various sources, such as websites, mobile apps, social media, email marketing, customer support interactions, and more. A customer intelligence platform's objective is to give companies actionable insights and a thorough understanding of their consumers so they can improve customer experiences, make wise decisions, and spur corporate growth. Platforms for customer intelligence offer sophisticated analytics capabilities, such as data mining, machine learning, and predictive modeling, to obtain useful information from the gathered data. The consumer intelligence platform market is segmented into on-premises and cloud-based. The cloud-based segment is the largest segment, accounting for 70% of the market in 2022. This is due to the flexibility and scalability of cloud-based solutions, which make them ideal for businesses of all sizes. And The consumer intelligence platform market is segmented into retail, healthcare, manufacturing, and others. The retail segment is the largest segment, accounting for 35% of the market in 2022. Businesses in a variety of sectors, such as retail, e-commerce, finance, telecommunications, and others, employ customer intelligence platforms. By providing more individualized and pertinent experiences, these platforms assist businesses in enhancing consumer engagement, growing customer loyalty, and boosting revenue. Customer intelligence solutions enable personalization of the customer experience, online sales, and business strategy optimization. Platforms for customer intelligence help businesses understand these trends and adjust their strategies as needed. Businesses use data on consumer mood, preferences, and purchase history to change their products and marketing messages to meet changing customer expectations. Customer intelligence platforms are being used for a wider range of use cases, such as fraud detection, churn prevention, and marketing optimization. This is creating new opportunities for businesses to use these platforms to improve their operations.
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KEY DRIVERS
Increased demand for personalized customer experiences
Advances in artificial intelligence and machine learning
Growing volume of customer data
Businesses are increasingly looking for ways to personalize the customer experience. Customer intelligence platforms can help businesses to collect and analyse data about their customers in order to create more personalized experiences.
RESTRAIN
Data privacy and security concerns
There are concerns about the privacy and security of customer data. Customer intelligence platforms need to be carefully designed and implemented to address these concerns.
OPPORTUNITY
Growing adoption of cloud computing
The customer intelligence platform market is becoming more competitive. This is driving innovation and leading to the development of new and better platforms
The growing adoption of cloud computing is creating opportunities for customer intelligence platforms. Cloud-based customer intelligence platforms are more scalable and reliable than on-premises platforms, making them a good fit for businesses that need to be able to quickly adapt to changing market conditions.
CHALLENGES
Integration with existing systems
The quality of the data that is used by customer intelligence platforms is critical. If the data is inaccurate or incomplete, the insights that are generated will be unreliable.
Customer intelligence platforms need to be integrated with existing systems, such as CRM and marketing automation platforms. This can be a challenge, especially for businesses with complex IT environments.
The market for customer intelligence platforms has been significantly impacted by the Russian-Ukrainian conflict. Economic sanctions against Russia as a result of the conflict have made it challenging for Russian businesses to obtain CIPs. For Russian CIP enterprises, this has resulted in a fall in sales growth and revenue. These businesses have suffered from the war's direct effects because they are unable to access CIPs or run their operations in Russia or Ukraine. Companies in this area include IBM, Salesforce, and Oracle, to name a few. IBM has stopped doing business in Ukraine and Russia. The business expressed its serious worry about the conflict and stated that it was taking action to support the Ukrainian people. Russian revenue for IBM and in 2022, Ukraine was predicted to be worth $1 billion. Oracle has stopped doing business in Russia. The war between Russia and Ukraine is still going to have an effect on the CIP market for some time. The global economy is currently experiencing significant uncertainty as a result of the war, and it is unclear when this uncertainty will end. As a result, it is expected that the CIP market will continue to grow slowly in the near future.
IMPACT OF ONGOING RECESSION
The recession is expected to have a negative impact on the CIP market in three key ways Businesses are likely to reduce their spending on non-essential items during a recession, including CIP platforms. This is because CIP platforms are not seen as a necessity for businesses, but rather as a way to improve efficiency and profitability., Changed Customer Behaviour, and Increased Competition. The market is expected to be most affected in regions that are most heavily impacted by the recession, such as North America and Europe. The market is also expected to be most affected in industries that are most sensitive to economic downturns, such as retail and consumer discretionary. A study by the National Retail Federation found that retail sales fell by 8.7% in February 2023, the largest decline since the Great Recession., A survey by the Conference Board found that consumer confidence fell to its lowest level in 10 years in March 2023. The ongoing recession is a significant challenge for the CIP market. However, CIP providers that can adapt to the changing market conditions and offer solutions that meet the needs of businesses and consumers during a recession are likely to emerge stronger from the downturn.
By Component
Solution
Services
By Functionality-based
Data Collection and Integration Solutions
Customer Analytics
Segmentation
Real-time Engagement
Customer Experience Management
By Enterprise Size
Large Enterprise
Small and Medium Size Enterprise
By Industry Vertical
IT
Telecom
Healthcare
Utilities
BFSI
Others
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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 customer intelligence platform market size in 2022. As a result of the region's large and diverse market, which includes a wide range of industries, including retail, e-commerce, healthcare, finance, and more, this region is also anticipated to experience rapid market revenue growth. Consequently, expected to fuel market expansion. This is due to the region's large and mature economy, as well as the presence of a large number of businesses that are using CIPs to improve their customer experience and marketing campaigns. The United States is the largest market for CIPs in North America, followed by Canada.
Asia Pacific region, which is the second-largest market. Over 30% of the global market for CIPs is distributed. It has the highest growth rate during the projection period. It is projected that the region's expanding market revenue growth will be fuelled by The Asia Pacific CIP market is expanding as a result of the region's quick economic development, growing company adoption of digital technology, and rising consumer desire for individualized service. India and Japan are the next-largest markets for CIPs in the Asia Pacific region, after China. an increase in the need for customer intelligence platform services and products across a range of industries to improve productivity and business continuity across a range of business processes. Market growth prospects in this area are likewise expected to be profitable.
The major key players in the Customer Intelligence Platform Market are Microsoft Corporation, International Business Machines Corporation, Oracle Corporation., SAP SE, Adobe Inc., SaS Institute Inc., Salesforce, Inc., Google LLC, Accenture, Informatica Inc., and other players
IBM: In June 22, 2023 IBM announced that it has acquired Databand.ai, a provider of data observability software. Databand.ai's software helps businesses to identify and fix data quality issues in their CIPs. This acquisition will help IBM to strengthen its CIP offering and provide businesses with a more comprehensive solution for managing their data.
Oracle: In July 13, 2023, Oracle announced that it has launched Oracle Customer Data Cloud, a new CIP platform. Oracle Customer Data Cloud brings together data from a variety of sources, including CRM systems, marketing automation platforms, and social media platforms. This allows businesses to create a single view of their customers and use this data to improve their marketing campaigns and customer service.
| Report Attributes | Details |
| Market Size in 2022 | US$ 1.9 Bn |
| Market Size by 2030 | US$ 15.4 Bn |
| CAGR | CAGR of 30 % 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 (Solution, Services) • By Functionality-based (Data Collection and Integration Solutions, Customer Analytics, Segmentation, Real-time Engagement, Customer Experience Management) • By Enterprise Size (Large Enterprise, Small and Medium Size Enterprise) • By Industry Vertical (IT, Telecom, Healthcare, Utilities, BFSI, 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 | Microsoft Corporation, International Business Machines Corporation, Oracle Corporation., SAP SE. Adobe Inc., SaS Institute Inc., Salesforce, Inc., Google LLC, Accenture, Informatica Inc. |
| Key Drivers | • Increased demand for personalized customer experiences • Advances in artificial intelligence and machine learning • Growing volume of customer data |
| Market Restraints | • Data privacy and security concerns |
Ans. The Compound Annual Growth rate for Customer Intelligence Platform Market over the forecast period is 30 %.
Ans. USD 15.4 Billion is the Company's projected Customer Intelligence Platform Market size by 2030.
Ans. A Customer Intelligence Platform is a software tool that serves and connects business users in sales, marketing, commerce, and service, linking billions of data points across disparate data sources to uncover insights. It collects customer data from various sources and unifies it to make it analysis-ready.
Ans. The applications of a CIP include customer data collection and management, customer segmentation, and targeting.
Ans. There are several types of Customer Intelligence Platforms available in the market like Selligent, SAS Customer Intelligence, Oracle Data Cloud, IBM Predictive Customer Intelligence, Salesforce Interaction Studio and many more.
TABLE OF CONTENTS
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. Customer Intelligence Platform Market Segmentation, by Component
8.1 Solution
8.2 Services
9. Customer Intelligence Platform Market Segmentation, by Functionality-based
9.1 Data Collection and Integration Solutions
9.2 Customer Analytics
9.3 Segmentation
9.4 Real-time Engagement
9.5 Customer Experience Management
10. Customer Intelligence Platform Market Segmentation, by Enterprise Size
10.1 Large Enterprise
10.2 Small and Medium Size Enterprise
11. Customer Intelligence Platform Market Segmentation, by Industry Vertical
11.1 IT
11.2 Telecom
11.3 Healthcare
11.4 Utilities
11.5 BFSI
11.6 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Customer Intelligence Platform Market by Country
12.2.2North America Customer Intelligence Platform Market by Component
12.2.3 North America Customer Intelligence Platform Market by Functionality-based
12.2.4 North America Customer Intelligence Platform Market by Enterprise Size
12.2.5 North America Customer Intelligence Platform Market by Industry Vertical
12.2.6 USA
12.2.6.1 USA Customer Intelligence Platform Market by Component
12.2.6.2 USA Customer Intelligence Platform Market by Functionality-based
12.2.6.3 USA Customer Intelligence Platform Market by Enterprise Size
12.2.6.4 USA Customer Intelligence Platform Market by Industry Vertical
12.2.7 Canada
12.2.7.1 Canada Customer Intelligence Platform Market by Component
12.2.7.2 Canada Customer Intelligence Platform Market by Functionality-based
12.2.7.3 Canada Customer Intelligence Platform Market by Enterprise Size
12.2.7.4 Canada Customer Intelligence Platform Market by Industry Vertical
12.2.8 Mexico
12.2.8.1 Mexico Customer Intelligence Platform Market by Component
12.2.8.2 Mexico Customer Intelligence Platform Market by Functionality-based
12.2.8.3 Mexico Customer Intelligence Platform Market by Enterprise Size
12.2.8.4 Mexico Customer Intelligence Platform Market by Industry Vertical
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Customer Intelligence Platform Market by Country
12.3.1.2 Eastern Europe Customer Intelligence Platform Market by Component
12.3.1.3 Eastern Europe Customer Intelligence Platform Market by Functionality-based
12.3.1.4 Eastern Europe Customer Intelligence Platform Market by Enterprise Size
12.3.1.5 Eastern Europe Customer Intelligence Platform Market by Industry Vertical
12.3.1.6 Poland
12.3.1.6.1 Poland Customer Intelligence Platform Market by Component
12.3.1.6.2 Poland Customer Intelligence Platform Market by Functionality-based
12.3.1.6.3 Poland Customer Intelligence Platform Market by Enterprise Size
12.3.1.6.4 Poland Customer Intelligence Platform Market by Industry Vertical
12.3.1.7 Romania
12.3.1.7.1 Romania Customer Intelligence Platform Market by Component
12.3.1.7.2 Romania Customer Intelligence Platform Market by Functionality-based
12.3.1.7.3 Romania Customer Intelligence Platform Market by Enterprise Size
12.3.1.7.4 Romania Customer Intelligence Platform Market by Industry Vertical
12.3.1.8 Hungary
12.3.1.8.1 Hungary Customer Intelligence Platform Market by Component
12.3.1.8.2 Hungary Customer Intelligence Platform Market by Functionality-based
12.3.1.8.3 Hungary Customer Intelligence Platform Market by Enterprise Size
12.3.1.8.4 Hungary Customer Intelligence Platform Market by Industry Vertical
12.3.1.9 Turkey
12.3.1.9.1 Turkey Customer Intelligence Platform Market by Component
12.3.1.9.2 Turkey Customer Intelligence Platform Market by Functionality-based
12.3.1.9.3 Turkey Customer Intelligence Platform Market by Enterprise Size
12.3.1.9.4 Turkey Customer Intelligence Platform Market by Industry Vertical
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Customer Intelligence Platform Market by Component
12.3.1.10.2 Rest of Eastern Europe Customer Intelligence Platform Market by Functionality-based
12.3.1.10.3 Rest of Eastern Europe Customer Intelligence Platform Market by Enterprise Size
12.3.1.10.4 Rest of Eastern Europe Customer Intelligence Platform Market by Industry Vertical
12.3.2 Western Europe
12.3.2.1 Western Europe Customer Intelligence Platform Market by Country
12.3.2.2 Western Europe Customer Intelligence Platform Market by Component
12.3.2.3 Western Europe Customer Intelligence Platform Market by Functionality-based
12.3.2.4 Western Europe Customer Intelligence Platform Market by Enterprise Size
12.3.2.5 Western Europe Customer Intelligence Platform Market by Industry Vertical
12.3.2.6 Germany
12.3.2.6.1 Germany Customer Intelligence Platform Market by Component
12.3.2.6.2 Germany Customer Intelligence Platform Market by Functionality-based
12.3.2.6.3 Germany Customer Intelligence Platform Market by Enterprise Size
12.3.2.6.4 Germany Customer Intelligence Platform Market by Industry Vertical
12.3.2.7 France
12.3.2.7.1 France Customer Intelligence Platform Market by Component
12.3.2.7.2 France Customer Intelligence Platform Market by Functionality-based
12.3.2.7.3 France Customer Intelligence Platform Market by Enterprise Size
12.3.2.7.4 France Customer Intelligence Platform Market by Industry Vertical
12.3.2.8 UK
12.3.2.8.1 UK Customer Intelligence Platform Market by Component
12.3.2.8.2 UK Customer Intelligence Platform Market by Functionality-based
12.3.2.8.3 UK Customer Intelligence Platform Market by Enterprise Size
12.3.2.8.4 UK Customer Intelligence Platform Market by Industry Vertical
12.3.2.9 Italy
12.3.2.9.1 Italy Customer Intelligence Platform Market by Component
12.3.2.9.2 Italy Customer Intelligence Platform Market by Functionality-based
12.3.2.9.3 Italy Customer Intelligence Platform Market by Enterprise Size
12.3.2.9.4 Italy Customer Intelligence Platform Market by Industry Vertical
12.3.2.10 Spain
12.3.2.10.1 Spain Customer Intelligence Platform Market by Component
12.3.2.10.2 Spain Customer Intelligence Platform Market by Functionality-based
12.3.2.10.3 Spain Customer Intelligence Platform Market by Enterprise Size
12.3.2.10.4 Spain Customer Intelligence Platform Market by Industry Vertical
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Customer Intelligence Platform Market by Component
12.3.2.11.2 Netherlands Customer Intelligence Platform Market by Functionality-based
12.3.2.11.3 Netherlands Customer Intelligence Platform Market by Enterprise Size
12.3.2.11.4 Netherlands Customer Intelligence Platform Market by Industry Vertical
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Customer Intelligence Platform Market by Component
12.3.2.12.2 Switzerland Customer Intelligence Platform Market by Functionality-based
12.3.2.12.3 Switzerland Customer Intelligence Platform Market by Enterprise Size
12.3.2.12.4 Switzerland Customer Intelligence Platform Market by Industry Vertical
12.3.2.13 Austria
12.3.2.13.1 Austria Customer Intelligence Platform Market by Component
12.3.2.13.2 Austria Customer Intelligence Platform Market by Functionality-based
12.3.2.13.3 Austria Customer Intelligence Platform Market by Enterprise Size
12.3.2.13.4 Austria Customer Intelligence Platform Market by Industry Vertical
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Customer Intelligence Platform Market by Component
12.3.2.14.2 Rest of Western Europe Customer Intelligence Platform Market by Functionality-based
12.3.2.14.3 Rest of Western Europe Customer Intelligence Platform Market by Enterprise Size
12.3.2.14.4 Rest of Western Europe Customer Intelligence Platform Market by Industry Vertical
12.4 Asia-Pacific
12.4.1 Asia Pacific Customer Intelligence Platform Market by Country
12.4.2 Asia Pacific Customer Intelligence Platform Market by Component
12.4.3 Asia Pacific Customer Intelligence Platform Market by Functionality-based
12.4.4 Asia Pacific Customer Intelligence Platform Market by Enterprise Size
12.4.5 Asia Pacific Customer Intelligence Platform Market by Industry Vertical
12.4.6 China
12.4.6.1 China Customer Intelligence Platform Market by Component
12.4.6.2 China Customer Intelligence Platform Market by Functionality-based
12.4.6.3 China Customer Intelligence Platform Market by Enterprise Size
12.4.6.4 China Customer Intelligence Platform Market by Industry Vertical
12.4.7 India
12.4.7.1 India Customer Intelligence Platform Market by Component
12.4.7.2 India Customer Intelligence Platform Market by Functionality-based
12.4.7.3 India Customer Intelligence Platform Market by Enterprise Size
12.4.7.4 India Customer Intelligence Platform Market by Industry Vertical
12.4.8 Japan
12.4.8.1 Japan Customer Intelligence Platform Market by Component
12.4.8.2 Japan Customer Intelligence Platform Market by Functionality-based
12.4.8.3 Japan Customer Intelligence Platform Market by Enterprise Size
12.4.8.4 Japan Customer Intelligence Platform Market by Industry Vertical
12.4.9 South Korea
12.4.9.1 South Korea Customer Intelligence Platform Market by Component
12.4.9.2 South Korea Customer Intelligence Platform Market by Functionality-based
12.4.9.3 South Korea Customer Intelligence Platform Market by Enterprise Size
12.4.9.4 South Korea Customer Intelligence Platform Market by Industry Vertical
12.4.10 Vietnam
12.4.10.1 Vietnam Customer Intelligence Platform Market by Component
12.4.10.2 Vietnam Customer Intelligence Platform Market by Functionality-based
12.4.10.3 Vietnam Customer Intelligence Platform Market by Enterprise Size
12.4.10.4 Vietnam Customer Intelligence Platform Market by Industry Vertical
12.4.11 Singapore
12.4.11.1 Singapore Customer Intelligence Platform Market by Component
12.4.11.2 Singapore Customer Intelligence Platform Market by Functionality-based
12.4.11.3 Singapore Customer Intelligence Platform Market by Enterprise Size
12.4.11.4 Singapore Customer Intelligence Platform Market by Industry Vertical
12.4.12 Australia
12.4.12.1 Australia Customer Intelligence Platform Market by Component
12.4.12.2 Australia Customer Intelligence Platform Market by Functionality-based
12.4.12.3 Australia Customer Intelligence Platform Market by Enterprise Size
12.4.12.4 Australia Customer Intelligence Platform Market by Industry Vertical
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Customer Intelligence Platform Market by Component
12.4.13.2 Rest of Asia-Pacific Customer Intelligence Platform Market by Functionality-based
12.4.13.3 Rest of Asia-Pacific Customer Intelligence Platform Market by Enterprise Size
12.4.13.4 Rest of Asia-Pacific Customer Intelligence Platform Market by Industry Vertical
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Customer Intelligence Platform Market by Country
12.5.1.2 Middle East Customer Intelligence Platform Market by Component
12.5.1.3 Middle East Customer Intelligence Platform Market by Functionality-based
12.5.1.4 Middle East Customer Intelligence Platform Market by Enterprise Size
12.5.1.5 Middle East Customer Intelligence Platform Market by Industry Vertical
12.5.1.6 UAE
12.5.1.6.1 UAE Customer Intelligence Platform Market by Component
12.5.1.6.2 UAE Customer Intelligence Platform Market by Functionality-based
12.5.1.6.3 UAE Customer Intelligence Platform Market by Enterprise Size
12.5.1.6.4 UAE Customer Intelligence Platform Market by Industry Vertical
12.5.1.7 Egypt
12.5.1.7.1 Egypt Customer Intelligence Platform Market by Component
12.5.1.7.2 Egypt Customer Intelligence Platform Market by Functionality-based
12.5.1.7.3 Egypt Customer Intelligence Platform Market by Enterprise Size
12.5.1.7.4 Egypt Customer Intelligence Platform Market by Industry Vertical
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Customer Intelligence Platform Market by Component
12.5.1.8.2 Saudi Arabia Customer Intelligence Platform Market by Functionality-based
12.5.1.8.3 Saudi Arabia Customer Intelligence Platform Market by Enterprise Size
12.5.1.8.4 Saudi Arabia Customer Intelligence Platform Market by Industry Vertical
12.5.1.9 Qatar
12.5.1.9.1 Qatar Customer Intelligence Platform Market by Component
12.5.1.9.2 Qatar Customer Intelligence Platform Market by Functionality-based
12.5.1.9.3 Qatar Customer Intelligence Platform Market by Enterprise Size
12.5.1.9.4 Qatar Customer Intelligence Platform Market by Industry Vertical
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Customer Intelligence Platform Market by Component
12.5.1.10.2 Rest of Middle East Customer Intelligence Platform Market by Functionality-based
12.5.1.10.3 Rest of Middle East Customer Intelligence Platform Market by Enterprise Size
12.5.1.10.4 Rest of Middle East Customer Intelligence Platform Market by Industry Vertical
12.5.2. Africa
12.5.2.1 Africa Customer Intelligence Platform Market by Country
12.5.2.2 Africa Customer Intelligence Platform Market by Component
12.5.2.3 Africa Customer Intelligence Platform Market by Functionality-based
12.5.2.4 Africa Customer Intelligence Platform Market by Enterprise Size
12.5.2.5 Africa Customer Intelligence Platform Market by Industry Vertical
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Customer Intelligence Platform Market by Component
12.5.2.6.2 Nigeria Customer Intelligence Platform Market by Functionality-based
12.5.2.6.3 Nigeria Customer Intelligence Platform Market by Enterprise Size
12.5.2.6.4 Nigeria Customer Intelligence Platform Market by Industry Vertical
12.5.2.7 South Africa
12.5.2.7.1 South Africa Customer Intelligence Platform Market by Component
12.5.2.7.2 South Africa Customer Intelligence Platform Market by Functionality-based
12.5.2.7.3 South Africa Customer Intelligence Platform Market by Enterprise Size
12.5.2.7.4 South Africa Customer Intelligence Platform Market by Industry Vertical
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Customer Intelligence Platform Market by Component
12.5.2.8.2 Rest of Africa Customer Intelligence Platform Market by Functionality-based
12.5.2.8.3 Rest of Africa Customer Intelligence Platform Market by Enterprise Size
12.5.2.8.4 Rest of Africa Customer Intelligence Platform Market by Industry Vertical
12.6. Latin America
12.6.1 Latin America Customer Intelligence Platform Market by Country
12.6.2 Latin America Customer Intelligence Platform Market by Component
12.6.3 Latin America Customer Intelligence Platform Market by Functionality-based
12.6.4 Latin America Customer Intelligence Platform Market by Enterprise Size
12.6.5 Latin America Customer Intelligence Platform Market by Industry Vertical
12.6.6 Brazil
12.6.6.1 Brazil Customer Intelligence Platform Market by Component
12.6.6.2 Brazil Customer Intelligence Platform Market by Functionality-based
12.6.6.3 Brazil Customer Intelligence Platform Market by Enterprise Size
12.6.6.4 Brazil Customer Intelligence Platform Market by Industry Vertical
12.6.7 Argentina
12.6.7.1 Argentina Customer Intelligence Platform Market by Component
12.6.7.2 Argentina Customer Intelligence Platform Market by Functionality-based
12.6.7.3 Argentina Customer Intelligence Platform Market by Enterprise Size
12.6.7.4 Argentina Customer Intelligence Platform Market by Industry Vertical
12.6.8 Colombia
12.6.8.1 Colombia Customer Intelligence Platform Market by Component
12.6.8.2 Colombia Customer Intelligence Platform Market by Functionality-based
12.6.8.3 Colombia Customer Intelligence Platform Market by Enterprise Size
12.6.8.4 Colombia Customer Intelligence Platform Market by Industry Vertical
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Customer Intelligence Platform Market by Component
12.6.9.2 Rest of Latin America Customer Intelligence Platform Market by Functionality-based
12.6.9.3 Rest of Latin America Customer Intelligence Platform Market by Enterprise Size
12.6.9.4 Rest of Latin America Customer Intelligence Platform Market by Industry Vertical
13 Company profile
13.1 Microsoft Corporation
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 International Business Machines Corporation
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 Oracle Corporation
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 SAP SE.
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 Adobe Inc.
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 SaS Institute Inc
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 Salesforce, Inc.
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 Google LLC
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 Accenture
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 Informatica Inc.
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 Industry 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.
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.
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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.
The Virtual Reality (VR) in Healthcare Market was valued at USD 2.42 billion in 2022 and is projected to expand to USD 25.12 billion By 2030, growing at a CAGR of 33.98% in the forecast period of 2023 to 2030.
The CAD and PLM Software Market size was valued at USD 14.89 billion in 2022 and is expected to grow to USD 26.55 billion by 2030 and grow at a CAGR of 7.5 % over the forecast period of 2023-2030.
The Revenue Assurance Market size was valued at USD 5.71 billion in 2023 and is expected to grow to USD 13.72 billion by 2031 and grow at a CAGR of 5.11% over the forecast period of 2024-2031.
The Artificial General Intelligence (AGI) Market was valued at USD 2.15 Billion in 2022 and is expected to be worth USD 27.47 Billion by 2030, increasing at a 37.5 % CAGR between 2023 and 2030.
The High Availability Server Market is anticipated to develop at a CAGR of 13.21% from 2023 to 2030, from a value of USD 10.12 billion in 2022 to USD 27.30 billion in 2030.
The Variable Rate Technology (VRT) Market size was valued at USD 4.62 Billion in 2023 and is expected to grow to USD 11.7 Billion By 2031 and grow at a CAGR of 12.4 % over the forecast period of 2024-2031.
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