Low-Code Embedded Analytics Market By Application (CRM Analytics, Supply Chain Analytics, Marketing Analytics, Financial Analytics, HR Analytics), Deployment (Cloud-Based Platforms, On-Premises Platforms), Enterprise Size(Small Offices (1-9 employees), Small Enterprises (10-99 employees), Medium-sized Enterprise (100-499 employees), Large Enterprises (500-999 employees), Very Large Enterprises (1,000+ employees)), Industry (IT & Telecom, Retail, Banking Financial Services & Insurance, Manufacturing, Healthcare & Others) & Regional Forecast till 2033
FMI Digs Deep into How Low-Code Embedded Analytics are Increasing Demand for Data-Driven Decision Making. Read the Report to Find Investment Opportunities in the Industry
As per the detailed report on the low-code embedded analytics market by Future Market Insights, sales of low-code embedded analytics in the region were reported at US$ 8.3 billion in 2018. The market witnessed Y-o-Y growth of 7.4% in 2022, with revenue expected to reach US$ 12.4 billion in 2023. During the assessment period (2023 to 2033), the global market is projected to expand at a CAGR of 11.6% and reach a market size of US$ 37.2 billion by the end of 2033.
Low-code embedded analytics have emerged as the best solution for many end-use industries to leverage data for better decision-making, operational efficiency, and improved outcomes.
Other Drivers Propelling the Demand for Low-Code Embedded Analytics include:
Embedded analytics with low-code allows businesses to leverage data within their apps, allowing users to make informed decisions and gain valuable insights in real-time.
Low-code development platforms make use of these technologies, providing user-friendly interfaces and pre-built components to make the development process easier.
Low-code embedded analytics platforms provide streamlined data integration, transformation, and visualization capabilities, allowing users to access and analyze complex data sets without extensive coding expertise.
Business users increasingly seek self-service analytics capabilities that enable them to explore data and generate insights independently.
Challenges for Companies/Vendors in the Low-Code Embedded Analytics Market:
Organizations need to ensure secure data transmission, implement access controls, and adhere to data privacy regulations to maintain data confidentiality and integrity.
Integrating data from various sources, cleansing and transforming it, and maintaining data integrity can be complex, especially when dealing with disparate systems and formats.
Although low-code development platforms aim to simplify the development process, they still require a certain level of technical understanding.
The platform have limitations when it comes to more advanced analytics techniques such as predictive modeling, machine learning, or complex statistical analysis.
Opportunities in the Low-Code Embedded Analytics Industry:
Low-code embedded analytics allows business users to directly access and analyze data within their applications, empowering them to make data-driven decisions without relying on IT or data science teams. This self-service analytics capability increases productivity and agility, as users can quickly extract insights and take immediate action.
The platform enables faster and more informed decision-making, leading to improved operational efficiency, optimized resource allocation, and better overall business outcomes which provides real-time insights to users at the point of decision-making.
Organizations can leverage low-code embedded analytics to create new revenue streams by offering data-driven insights and analytics as value-added services. By packaging and selling analytics capabilities as standalone products or incorporating them into existing offerings, businesses can monetize their data assets and generate additional revenue.
Low-code development platforms facilitate rapid application development and iteration cycles.
Latest Trends in the Low-Code Embedded Analytics Market:
Natural language processing (NLP) capabilities are being embedded into low-code analytics platforms, allowing users to interact with data and analytics through conversational interfaces.
The platforms are incorporating data science capabilities, allowing users to build and deploy machine learning models without extensive coding knowledge.
Augmented analytics focuses on automating data preparation, analysis, and visualization processes, empowering users to derive insights more efficiently to automate data preparation, suggest insights, and provide recommendations, enabling users to make data-driven decisions faster and with greater accuracy.
Low-code embedded analytics platforms are incorporating collaboration features, allowing multiple users to collaborate, share insights, and work together on data analysis within the same application which enhances teamwork, knowledge sharing, and decision-making across different departments and stakeholders.
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2018 to 2022 Low-Code Embedded Analytics Demand Outlook Compared to 2023 to 2033 Forecast
From 2018 to 2022, the global low-code embedded analytics market experienced a CAGR of 7.4%, reaching a market size of US$ 11.0 billion in 2023.
From 2018 to 2022, the global low-code embedded analytics industry witnessed steady growth due to the rising demand for better decision-making and operational efficiency. There is a growing realization that leveraging data through analytics can drive better decision-making across all levels of the organization and embed analytics directly into their applications, allowing users to access real-time insights and take immediate actions based on the data at hand.
Future Forecast for Low-Code Embedded Analytics Industry
Looking ahead, the global low-code embedded analytics industry is expected to rise at a CAGR of 11.6% from 2023 to 2033. During the forecast period, the market size is expected to reach US$ 37.2 billion.
The low-code embedded analytics industry is expected to continue its growth trajectory from 2023 to 2033, driven by increasing demand for data-driven insights and increasing complexity of data. The growth of self-service analytics which enables to explore data and generate insights independently. Low-code embedded analytics solutions provide user-friendly interfaces, drag-and-drop functionality, and pre-built templates, empowering business users to perform ad-hoc analysis without relying on IT or data science teams.
The market is also likely to witness significant growth in the South Asia and Pacific region due to the presence of significantly developing economies such as India. However, market growth can be hindered by the lack of advanced analytics capabilities and complexity of data governance and compliance with low-code embedded analytics.
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Comparative View of the Low-Code Embedded Analytics Market
Low-Code Embedded Analytics Market:
Attributes
Low-Code Embedded Analytics Market
CAGR (2023 to 2033)
11.6%
Market Value (2033)
US$ 37.2 billion
Opportunity
Growing demand from retail & E-commerce, banking and finance for efficient insights into customer behavior, optimize pricing and promotions, and personalize customer experiences.
Key Trends
Increasing adoption of data science capabilities, allowing users to build and deploy machine learning models without extensive coding knowledge.
Business Intelligence and Analytics Market:
Attributes
Business Intelligence and Analytics Market
CAGR (2023 to 2033)
9.1%
Market Value (2033)
US$ 15.3 billion
Opportunity
Rising ability to gain actionable insights from vast amounts of data.
Key Trends
Growing demand for augmented analytics leverages artificial intelligence (AI) and machine learning (ML) techniques to automate data preparation, analysis, and visualization processes.
Embedded Analytics Solutions Market:
Attributes
Embedded Analytics Solutions Market
CAGR (2023 to 2033)
13.2%
Market Value (2033)
US$ 45.2 billion
Opportunity
Rising adoption of data-driven decision-making which enhance in the offerings for manufacturers and finance & banking.
Key Trends
Growing emphasis on collaboration and sharing of insights within embedded analytics platforms, enabling multiple users to collaborate, annotate, and share data-driven insights within the context of their applications.
Country-Wise Insights
Low-Code Embedded Analytics Market to Surge in the United States with Growing Demand for Data-Driven Insights
Country
The United States
Market Size (US$ billion) by End of Forecast Period (2033)
US$ 5.0 billion
CAGR % 2023 to End of Forecast (2033)
10.5%
The low-code embedded analytics industry in the United States is expected to reach a market share of US$ 5.0 billion by 2033, expanding at a CAGR of 10.5%. The low-code embedded analytics industry in the United States is expected to witness growth due to rise of citizen development and citizen data scientists. Additionally, there are a few other factors expected to drive the demand for low-code embedded analytics in the country are:
Organizations across industries are undergoing digital transformation to enhance their operational efficiency, customer experiences, and decision-making processes.
The evolution of low-code development platforms has brought forth more robust and sophisticated tools for creating embedded analytics applications.
Rising Demand for Low-Code Embedded Analytics in Digital Transformation Initiatives to Propel the United Kingdom Market Growth
Country
The United Kingdom
Market Size (US$ billion) by End of Forecast Period (2033)
US$ 1.2 billion
CAGR % 2023 to End of Forecast (2033)
9.3%
The low-code embedded analytics industry in the United Kingdom is expected to reach a market share of US$ 1.2 billion, expanding at a CAGR of 9.3% during the forecast period. The United Kingdom market is projected to experience growth owing to the emphasis on digital transformation, data-driven decision-making, and the need for citizen developers, coupled with cost and time efficiency, are driving organizations in the United Kingdom to leverage low-code embedded analytics platforms.
Notable Growth Expected in China's Low-Code Embedded Analytics Market as Government Focuses on Innovation and Technological Advancement
Country
China
Market Size (US$ billion) by End of Forecast Period (2033)
US$ 2.9 billion
CAGR % 2023 to End of Forecast (2033)
11.8%
The low-code embedded analytics industry in China is anticipated to reach a market share of US$ 2.9 billion, moving at a CAGR of 11.8% during the forecast period. The low-code embedded analytics industry in China is expected to grow prominently due to significant support for the development and adoption of emerging technologies, including low-code embedded analytics. Through policies and initiatives promoting digitalization and innovation, the government encourages businesses to adopt advanced technologies and enhance their analytical capabilities, contributing to the growth of the low-code embedded analytics market.
Increasing Adoption of Low-Code Embedded Analytics in Various Industries to Drive Market Growth in Japan
Country
Japan
Market Size (US$ billion) by End of Forecast Period (2033)
US$ 1.7 billion
CAGR % 2023 to End of Forecast (2033)
9.2%
The low-code embedded analytics industry in Japan is estimated to reach a market share of US$ 1.7 billion by 2033, thriving at a CAGR of 9.2%. The market in Japan is at the forefront of IoT adoption and smart city development.
Low-code embedded analytics platforms play a crucial role in processing and analyzing data collected from IoT devices and sensors. This enables Japanese organizations to optimize resource allocation, improve operational efficiency, and enhance the quality of urban services, contributing to the growth of the low-code embedded analytics market.
Demand for Low-Code Embedded Analytics in Emerging Start-up Culture to Fuel Market Growth in India
Country
India
Market Size (US$ billion) by End of Forecast Period (2033)
US$ 1.02 billion
CAGR % 2023 to End of Forecast (2033)
12.9%
The low-code embedded analytics industry in India is expected to reach a market share of US$ 1.02 billion, expanding at a CAGR of 12.9% during the forecast period. India has a thriving start-up ecosystem, with numerous innovative companies emerging across various industries. Start-ups often have limited resources and tight timelines to deliver analytics capabilities.
Low-code embedded analytics platforms provide a cost-effective and efficient solution for these companies to quickly develop and embed analytics functionalities into their applications, enabling them to gain insights and make data-driven decisions from the start.
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Category-Wise Insights
CRM Analytics Application Segment to Dominate Low-Code Embedded Analytics Industry with 11.1% CAGR through 2033
The CRM analytics application segment is expected to dominate the low-code embedded analytics industry with a CAGR of 11.1% from 2023 to 2033. The dominance of CRM Analytics in the low-code embedded analytics industry is also attributed to the increasing demand for customer-centric strategies.
Organizations are striving to deliver exceptional customer experiences and build long-term relationships with their customers. CRM Analytics provides the tools and capabilities to extract meaningful insights from customer data, enabling businesses to make data-driven decisions that drive customer satisfaction and loyalty.
How the Retail and E-commerce Industry is Driving the Low-Code Embedded Analytics Market?
The retail and e-commerce industry is expected to dominate the low-code embedded analytics industry with a CAGR of 10.9% from 2022 to 2033. The retail and e-commerce industry places a strong emphasis on customer engagement. By harnessing embedded analytics, businesses can gain deeper insights into customer preferences, purchase patterns, and sentiment analysis. This enables them to create targeted marketing campaigns, recommend relevant products, and provide personalized experiences, all of which contribute to improved customer engagement and loyalty.
How Key Players Stay Competitive in the Low-Code Embedded Analytics Industry?
The low-code embedded analytics industry is highly competitive, with numerous players vying for market share. In such a scenario, key players must adopt effective strategies to stay ahead of the competition.
Key Strategies Adopted by the Players
Product Innovation
Companies invest heavily in research & development to deliver novel products that improve efficiency, dependability, and cost-effectiveness. Product innovation allows businesses to differentiate themselves from competition while also catering to customers' changing demands.
Strategic Partnerships and Collaborations
Key industry leaders frequently develop strategic partnerships and collaborations with other companies in order to harness their strengths and increase their market reach. These alliances can provide companies with access to new technology and markets.
Expansion into Emerging Markets
The low-code embedded analytics business is expanding rapidly in emerging economies such as China and India. Key players are enhancing their distribution networks and developing local manufacturing facilities to increase their presence in these areas.
Mergers and Acquisitions
Mergers and acquisitions are frequently used by key companies in the low-code embedded analytics firm to consolidate their market position, extend their product portfolio, and gain access to new markets.
Key Players in the Low-Code Embedded Analytics Industry
Microsoft
Tableau
Qlik Sense
Sisense
Looker
Key Developments in the Low-Code Embedded Analytics Market:
ThoughtSpot's expanded platform incorporates advanced AI and machine learning algorithms to provide intelligent search capabilities, automated insights, and predictive analytics. These features enable users to discover relevant information quickly, uncover hidden patterns, and make data-driven decisions.
Domo aims to bridge the gap between professional developers and citizen developers within organizations. Citizen developers are individuals who have limited coding skills but possess domain expertise and a deep understanding of business processes. With low-code tools, they can now contribute to the development of analytics applications, dashboards, and reports, thus accelerating the pace of application development and deployment.
GoodData's free offering includes a wide range of analytics features, such as customizable dashboards, data visualization, and reporting capabilities. These features enable developers and business users to embed analytics seamlessly into their applications and provide end-users with self-service access to data-driven insights.
Segmentation Analysis of the Low-Code Embedded Analytics Market
By Application:
CRM Analytics
Supply Chain Analytics
Marketing Analytics
Financial Analytics
HR Analytics
By Deployment:
Cloud-Based Platforms
On-Premises Platforms
By Enterprise Size:
Small Offices (1-9 employees)
Small Enterprises (10-99 employees)
Medium-sized Enterprise (100-499 employees)
Large Enterprises (500-999 employees)
Very Large Enterprises (1,000+ employees)
By Industry:
IT & Telecom
Retail
Banking Financial Services & Insurance
Manufacturing
Healthcare
Others
By Region:
North America
Latin America
Europe
East Asia
South Asia Pacific
Middle East & Africa
Frequently Asked Questions
How big is the Low-Code Embedded Analytics Market by 2033?
The projected revenue of the market by 2033 is US$ 37.2 billion.
What is the Low-Code Embedded Analytics Market CAGR for 2033?
The market CAGR for 2033 is projected to be 11.6%.
How Big is the Low-Code Embedded Analytics Market?
The market is valued at US$ 12.4 billion in 2023.
Which region holds a significant share of the Low-Code Embedded Analytics market?
North America holds the largest market share.
Why is the North American market growing remarkably fast in the Low-Code Embedded Analytics Market?
The North American market is growing due to the rising demand for analytics solutions that are easy to use.
Table of Content
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand Side Trends
1.3. Supply Side Trends
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Key Market Trends
3.1. Key Trends Impacting the Market
3.2. Product Innovation / Development Trends
4. Pricing Analysis
4.1. Pricing Analysis, By Low Code Embedded Analytics
4.1.1. Subscription Pricing Model
4.1.2. Perpetual Licensing
4.2. Average Pricing Analysis Benchmark
5. Global Market Demand (Value in US$ Million) Analysis 2018 to 2022 and forecast, 2023 to 2033
5.1. Historical Market Value (US$ Million) Analysis, 2018 to 2022
5.2. Current and Future Market Value (US$ Million) Projections, 2023 to 2033
5.2.1. Y-o-Y Growth Trend Analysis
5.2.2. Absolute $ Opportunity Analysis
6. Market Background
6.1. Macro-Economic Factors
6.2. Forecast Factors - Relevance & Impact
6.3. Value Chain
6.4. COVID-19 Crisis – Impact Assessment
6.4.1. Current Statistics
6.4.2. Short-Mid-Long Term Outlook
6.4.3. Likely Rebound
6.5. Market Dynamics
6.5.1. Drivers
6.5.2. Restraints
6.5.3. Opportunities
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Solution
7.1. Introduction / Key Findings
7.2. Historical Market Size (US$ Million) Analysis By Solution, 2018 to 2022
7.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Solution, 2023 to 2033
7.3.1. Software
7.3.1.1. Data Analytics Platform
7.3.1.2. Predictive Modelling Tools
7.3.1.3. Visualization Software
7.3.2. Hardware Server
7.3.2.1. Servers
7.3.2.2. Storage Devices
7.3.2.3. Networking Equipment
7.3.3. Service Consulting
7.3.3.1. Implementation
7.3.3.2. Support
7.4. Market Attractiveness Analysis By Solution
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode
8.1. Introduction / Key Findings
8.2. Historical Market Size (US$ Million) Analysis By Deployment Mode, 2018 to 2022
8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Deployment Mode, 2023 to 2033
8.3.1. Cloud Based Platforms
8.3.2. On-Premise Platforms
8.4. Market Attractiveness Analysis By Deployment Mode
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size
9.1. Introduction / Key Findings
9.2. Historical Market Size (US$ Million) Analysis By Enterprise Size, 2018 to 2022
9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033
9.3.1. Small Offices (1-9 employees)
9.3.2. Small Enterprises (10-99 employees)
9.3.3. Medium-sized Enterprise (100-499 employees)
9.3.4. Large Enterprises (500-999 employees)
9.3.5. Very Large Enterprises (1,000+ employees)
9.4. Market Attractiveness Analysis By Enterprise Size
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry
10.1. Introduction / Key Findings
10.2. Historical Market Size (US$ Million) Analysis By Industry, 2018 to 2022
10.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Industry, 2023 to 2033
10.3.1. IT & Telecom
10.3.2. Retail
10.3.3. Banking Financial Services & Insurance
10.3.4. Manufacturing
10.3.5. Healthcare
10.3.6. Others
10.4. Market Attractiveness Analysis By Industry
11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
11.1. Introduction / Key Findings
11.2. Historical Market Size (US$ Million) Analysis By Region, 2018 to 2022
11.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Region, 2023 to 2033
11.3.1. North America
11.3.2. Latin America
11.3.3. East Asia
11.3.4. South Asia and Pacific
11.3.5. Western Europe
11.3.6. Eastern Europe
11.3.7. Middle East and Africa
11.4. Market Attractiveness Analysis By Region
12. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033
12.1. Introduction
12.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.3.1. By Solution
12.3.2. By Deployment Mode
12.3.3. By Enterprise Size
12.3.4. By Industry
12.3.5. By Country
12.3.5.1. U.S.
12.3.5.2. Canada
12.4. Market Attractiveness Analysis
12.4.1. By Solution
12.4.2. By Deployment Mode
12.4.3. By Enterprise Size
12.4.4. By Industry
12.4.5. By Country
13. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033
13.1. Introduction
13.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.3.1. By Solution
13.3.2. By Deployment Mode
13.3.3. By Enterprise Size
13.3.4. By Industry
13.3.5. By Country
13.3.5.1. Brazil
13.3.5.2. Mexico
13.3.5.3. Argentina
13.3.5.4. Rest of Latin America
13.4. Market Attractiveness Analysis
13.4.1. By Solution
13.4.2. By Deployment Mode
13.4.3. By Enterprise Size
13.4.4. By Industry
13.4.5. By Country
14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033
14.1. Introduction
14.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.3.1. By Solution
14.3.2. By Deployment Mode
14.3.3. By Enterprise Size
14.3.4. By Industry
14.3.5. By Country
14.3.5.1. India
14.3.5.2. ASEAN
14.3.5.3. Australia & New Zealand
14.3.5.4. Rest of South Asia & Pacific
14.4. Market Attractiveness Analysis
14.4.1. By Solution
14.4.2. By Deployment Mode
14.4.3. By Enterprise Size
14.4.4. By Industry
14.4.5. By Country
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033
15.1. Introduction
15.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.3.1. By Solution
15.3.2. By Deployment Mode
15.3.3. By Enterprise Size
15.3.4. By Industry
15.3.5. By Country
15.3.5.1. China
15.3.5.2. Japan
15.3.5.3. South Korea
15.4. Market Attractiveness Analysis
15.4.1. By Solution
15.4.2. By Deployment Mode
15.4.3. By Enterprise Size
15.4.4. By Industry
15.4.5. By Country
16. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033
16.1. Introduction
16.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.3.1. By Solution
16.3.2. By Deployment Mode
16.3.3. By Enterprise Size
16.3.4. By Industry
16.3.5. By Country
16.3.5.1. Germany
16.3.5.2. Italy
16.3.5.3. France
16.3.5.4. U.K.
16.3.5.5. Spain
16.3.5.6. BENELUX
16.3.5.7. Nordics
16.3.5.8. Rest of Europe
16.4. Market Attractiveness Analysis
16.4.1. By Solution
16.4.2. By Deployment Mode
16.4.3. By Enterprise Size
16.4.4. By Industry
16.4.5. By Country
17. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033
17.1. Introduction
17.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.3.1. By Solution
17.3.2. By Deployment Mode
17.3.3. By Enterprise Size
17.3.4. By Industry
17.3.5. By Country
17.3.5.1. Poland
17.3.5.2. Hungary
17.3.5.3. Romania
17.3.5.4. Czech Republic
17.3.5.5. Rest of Eastern Europe
17.4. Market Attractiveness Analysis
17.4.1. By Solution
17.4.2. By Deployment Mode
17.4.3. By Enterprise Size
17.4.4. By Industry
17.4.5. By Country
18. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033
18.1. Introduction
18.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
18.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
18.3.1. By Solution
18.3.2. By Deployment Mode
18.3.3. By Enterprise Size
18.3.4. By Industry
18.3.5. By Country
18.3.5.1. Saudi Arabia
18.3.5.2. UAE
18.3.5.3. Turkey
18.3.5.4. Northern Africa
18.3.5.5. South Africa
18.3.5.6. Israel
18.3.5.7. Rest of Middle East and Africa
18.4. Market Attractiveness Analysis
18.4.1. By Solution
18.4.2. By Deployment Mode
18.4.3. By Enterprise Size
18.4.4. By Industry
18.4.5. By Country
19. Key Countries Analysis
19.1. U.S. Market Analysis
19.1.1. By Solution
19.1.2. By Deployment Mode
19.1.3. By Enterprise Size
19.1.4. By Industry
19.2. Canada Market Analysis
19.2.1. By Solution
19.2.2. By Deployment Mode
19.2.3. By Enterprise Size
19.2.4. By Industry
19.3. Mexico Market Analysis
19.3.1. By Solution
19.3.2. By Deployment Mode
19.3.3. By Enterprise Size
19.3.4. By Industry
19.4. Brazil Market Analysis
19.4.1. By Solution
19.4.2. By Deployment Mode
19.4.3. By Enterprise Size
19.4.4. By Industry
19.5. Argentina Market Analysis
19.5.1. By Solution
19.5.2. By Deployment Mode
19.5.3. By Enterprise Size
19.5.4. By Industry
19.6. Germany Market Analysis
19.6.1. By Solution
19.6.2. By Deployment Mode
19.6.3. By Enterprise Size
19.6.4. By Industry
19.7. Italy Market Analysis
19.7.1. By Solution
19.7.2. By Deployment Mode
19.7.3. By Enterprise Size
19.7.4. By Industry
19.8. France Market Analysis
19.8.1. By Solution
19.8.2. By Deployment Mode
19.8.3. By Enterprise Size
19.8.4. By Industry
19.9. U.K Market Analysis
19.9.1. By Solution
19.9.2. By Deployment Mode
19.9.3. By Enterprise Size
19.9.4. By Industry
19.10. Spain Market Analysis
19.10.1. By Solution
19.10.2. By Deployment Mode
19.10.3. By Enterprise Size
19.10.4. By Industry
19.11. China Market Analysis
19.11.1. By Solution
19.11.2. By Deployment Mode
19.11.3. By Enterprise Size
19.11.4. By Industry
19.12. Japan Market Analysis
19.12.1. By Solution
19.12.2. By Deployment Mode
19.12.3. By Enterprise Size
19.12.4. By Industry
19.13. South Korea Market Analysis
19.13.1. By Solution
19.13.2. By Deployment Mode
19.13.3. By Enterprise Size
19.13.4. By Industry
19.14. India Market Analysis
19.14.1. By Solution
19.14.2. By Deployment Mode
19.14.3. By Enterprise Size
19.14.4. By Industry
19.15. ASEAN Market Analysis
19.15.1. By Solution
19.15.2. By Deployment Mode
19.15.3. By Enterprise Size
19.15.4. By Industry
19.16. Australia & New Zealand Market Analysis
19.16.1. By Solution
19.16.2. By Deployment Mode
19.16.3. By Enterprise Size
19.16.4. By Industry
19.17. Saudi Arabia Market Analysis
19.17.1. By Solution
19.17.2. By Deployment Mode
19.17.3. By Enterprise Size
19.17.4. By Industry
19.18. UAE Market Analysis
19.18.1. By Solution
19.18.2. By Deployment Mode
19.18.3. By Enterprise Size
19.18.4. By Industry
19.19. Turkey Market Analysis
19.19.1. By Solution
19.19.2. By Deployment Mode
19.19.3. By Enterprise Size
19.19.4. By Industry
19.20. South Africa Market Analysis
19.20.1. By Solution
19.20.2. By Deployment Mode
19.20.3. By Enterprise Size
19.20.4. By Industry
19.21. Israel Market Analysis
19.21.1. By Solution
19.21.2. By Deployment Mode
19.21.3. By Enterprise Size
19.21.4. By Industry
20. Market Structure Analysis
20.1. Market Analysis by Tier of Companies
20.2. Market Share Analysis of Top Players
20.3. Market Presence Analysis
21. Competition Analysis
21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Competition Deep Dive
21.3.1. Microsoft
21.3.1.1. Business Overview
21.3.1.2. Solution Portfolio
21.3.1.3. Profitability by Market Segments (Business Segments/Region)
21.3.1.4. Key Strategy & Developments
21.3.2. Tableau
21.3.2.1. Business Overview
21.3.2.2. Solution Portfolio
21.3.2.3. Profitability by Market Segments (Business Segments/Region)
21.3.2.4. Key Strategy & Developments
21.3.3. Qlik Sense
21.3.3.1. Business Overview
21.3.3.2. Solution Portfolio
21.3.3.3. Profitability by Market Segments (Business Segments/Region)
21.3.3.4. Key Strategy & Developments
21.3.4. Sisense
21.3.4.1. Business Overview
21.3.4.2. Solution Portfolio
21.3.4.3. Profitability by Market Segments (Business Segments/Region)
21.3.4.4. Key Strategy & Developments
21.3.5. Looker
21.3.5.1. Business Overview
21.3.5.2. Solution Portfolio
21.3.5.3. Profitability by Market Segments (Business Segments/Region)
21.3.5.4. Key Strategy & Developments
21.3.6. Dundas
21.3.6.1. Business Overview
21.3.6.2. Solution Portfolio
21.3.6.3. Profitability by Market Segments (Business Segments/Region)
21.3.6.4. Key Strategy & Developments
21.3.7. Logi Analytics
21.3.7.1. Business Overview
21.3.7.2. Solution Portfolio
21.3.7.3. Profitability by Market Segments (Business Segments/Region)
21.3.7.4. Key Strategy & Developments
21.3.8. Yellowfin
21.3.8.1. Business Overview
21.3.8.2. Solution Portfolio
21.3.8.3. Profitability by Market Segments (Business Segments/Region)
21.3.8.4. Key Strategy & Developments
22. Assumptions and Acronyms Used23. Research Methodology
