The market for embedded business intelligence is anticipated to be valued at US$ 28,057.6 million in 2023, forecast to grow at a CAGR of 11.2% to be valued at US$ 81,356.7 million from 2023 to 2033. Growth is attributed to high adoption of self-service analytics.
| Data Points | Key Statistics |
|---|---|
| Growth Rate (2018 to 2022) | 9.1% CAGR |
| Expected Market Value (2023) | US$ 28,057.6 million |
| Anticipated Forecast Value (2033) | US$ 81,356.7 million |
| Segment 1 | Deployment |
|---|---|
| Segment 1 Name | Embedded Business Intelligence SaaS |
| Segment 1 Share | 62.3% |
| Segment 2 | Verticals |
|---|---|
| Segment 2 Name | Dynamic Data Management for BFSI |
| Segment 2 Share | 15.3% |
Embedded analytics is an application-oriented integration of business intelligence (BI) tools and reporting tools. Embedded analytics integrates analytical capabilities into a particular application to analyze collected data for better operational decisions.
Traditional business analytical tools need to be supported by the number of other systems to collect & analyze data, update data, and finally run queries to make business decisions. Embedded analytics software provides a picture of the business landscape and offers opportunities for smoother decision-making.
The major factors that are expected to boost the growth of the embedded business intelligence market during the forecast period include the growing demand for the use of analytics in business applications, and adoption of self-service analytics.
On the contrary, lack of skilled workforce and poor legacy system are the major factors that are expected to hamper the growth of embedded business intelligence market over the analysis period.
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The complete suite of embedded business intelligence is experiencing significant demand from the small, medium, and large enterprises mainly due to its offerings such as embeddability, data management, data visualization, data reporting and, data analysis. This factor is expected to fuel the growth of the embedded business intelligence market during the forecast period.
Additionally, increasing adoption of mobile business intelligence (BI) with cloud computing technology has enabled embedded business intelligence market’s growth. Also, the emergence of data-driven enterprises is expected to lead towards the growth of the embedded analytics software market. These factors are expected to propel the market growth in the forthcoming years.
Besides, the high adoption of self-service analytics is also anticipated to supplement the market growth during the forecast period. The rising approach towards the integration of analytics into business applications is anticipated to empower the adoption of embedded business intelligence tools.
Advancement in embedded business intelligence may eliminate many jobs from industries but anticipated to create more skilled and expertized job opportunities in future, so the lack of domain expertise and job reduction are coupled together to impede the growth of the market in forthcoming years.
Additionally, time consuming implementation, lack of skilled workforce and poor legacy system, high replacement cost and security issues associated with embedded business analytics systems are other factors that are expected to hamper the growth of the embedded business intelligence market during the forecast period.
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In terms of regional platform, North America holds the largest market share in the embedded business intelligence market. The region is expected to surge to over 34.7% share in 2022.
The presence of top market players such as Microsoft Corporation, IBM Corporation, SAP SE, MicroStrategy Inc. as well as other prominent players and their strategical business partnerships are projected to grasp a maximum share of the embedded analytics software market in North America.
According to Future Market Insights, Europe is expected to provide immense growth opportunities for embedded business intelligence market, and is expected to reach at a highest share of 23.3% in 2022.
The increasing focus of the European Union towards the adoption of advanced and upgraded technology led to increasing demand for the market across Europe. The growing emphasis on automation through real-time analytics by the companies is increasing the adoption of embedded analytics software within European countries.
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According to Future Market Insights, Asia Pacific is expected to provide immense growth opportunities for Electronic Weighing Scale, and is expected to reach at a highest share of 14.9% in 2022.
Increasing demand for efficient data management and high internet dissemination expected to drive market growth within Asia Pacific. This region shows the participation in the growing adoption of embedded analytical tools within the manufacturing, retail, and BFSI industries of the area.
Growing inclination towards the development of IT industries and infrastructures in emerging economies such as India and China are projected to propel the embedded intelligence market in recent years. In addition, the availability of cheap and skilled human resources is another key driver piloting the growth of the industry in the Asia Pacific region.
According to Future Market Insights, Latin America is expected to provide immense growth opportunities for Electronic Weighing Scale, and is expected to reach at a highest share of 10.4% in 2022. With increasing diffusion of the internet, Latin America is expected to contribute to the growth of the embedded analytics software market.
There are many prominent market players in the embedded business intelligence market, who are working together to provide the best-in-class embedded business intelligence software for enhancing the global arena. However, there are many global start-ups in the embedded business intelligence market, who are stepping forward in matching the requirements of the Embedded Business Intelligence domain.
Some of the key participants present in the global embedded business intelligence market include IBM, Oracle, Microsoft, SAP, SAS, Google, AWS, Salesforce, MicroStrategy, Teradata, DOMO, Vphrase dotdata, Amlgo Labs, Pentation Analytics, Hitachi Vantara, Outlier, ConverSight AI, Element Data, Alteryx, and ThpughtSpot, among others.
Attributed to the presence of such a high number of participants, the market is highly competitive. While global players such as IBM, Oracle, Microsoft, SAP, SAS, Google, AWS, Salesforce, MicroStrategy, and Teradata account for a considerable market size, several regional level players are also operating across key growth regions, particularly in North America.
Recent Developments:
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 11.2% from 2023 to 2033 |
| Base Year for Estimation | 2022 |
| Market Value in 2023 | US$ 28,057.6 million |
| Market Value in 2033 | US$ 81,356.7 million |
| Historical Data | 2017 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in US$ million and CAGR from 2022 to 2032 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Segments Covered |
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| Regions Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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| Customization | Available Upon Request |
The valuation of the embedded business intelligence market reaches a notable sum of US$ 28,057.6 million in 2023.
The embedded business intelligence market is estimated to achieve a valuation of US$ 81,356.7 million by 2033.
The embedded business intelligence market is poised to witness a 9.1% CAGR upswing in demand through 2033.
The prominent trend in the embedded business intelligence market is AI integration.
The SaaS segment is set to sustain its dominance in the embedded business intelligence market.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033
5.3.1. On-premise Embedded Business Intelligence
5.3.2. SaaS
5.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Services
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Services, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Services, 2023 to 2033
6.3.1. Professional
6.3.2. Support
6.4. Y-o-Y Growth Trend Analysis By Services, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Services, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033
7.3.1. BFSI
7.3.2. Healthcare
7.3.3. Media and Entertainment
7.3.4. Retail
7.3.5. Telecom
7.3.6. Food & Beverages
7.3.7. Other Verticals
7.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Deployment
9.2.3. By Services
9.2.4. By Vertical
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Deployment
9.3.3. By Services
9.3.4. By Vertical
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Deployment
10.2.3. By Services
10.2.4. By Vertical
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Deployment
10.3.3. By Services
10.3.4. By Vertical
10.4. Key Takeaways
11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Deployment
11.2.3. By Services
11.2.4. By Vertical
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Deployment
11.3.3. By Services
11.3.4. By Vertical
11.4. Key Takeaways
12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Deployment
12.2.3. By Services
12.2.4. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Deployment
12.3.3. By Services
12.3.4. By Vertical
12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Deployment
13.2.3. By Services
13.2.4. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Deployment
13.3.3. By Services
13.3.4. By Vertical
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Deployment
14.2.3. By Services
14.2.4. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Deployment
14.3.3. By Services
14.3.4. By Vertical
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Deployment
15.2.3. By Services
15.2.4. By Vertical
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Deployment
15.3.3. By Services
15.3.4. By Vertical
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Deployment
16.1.2.2. By Services
16.1.2.3. By Vertical
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Deployment
16.2.2.2. By Services
16.2.2.3. By Vertical
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Deployment
16.3.2.2. By Services
16.3.2.3. By Vertical
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Deployment
16.4.2.2. By Services
16.4.2.3. By Vertical
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Deployment
16.5.2.2. By Services
16.5.2.3. By Vertical
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Deployment
16.6.2.2. By Services
16.6.2.3. By Vertical
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Deployment
16.7.2.2. By Services
16.7.2.3. By Vertical
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Deployment
16.8.2.2. By Services
16.8.2.3. By Vertical
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Deployment
16.9.2.2. By Services
16.9.2.3. By Vertical
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Deployment
16.10.2.2. By Services
16.10.2.3. By Vertical
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Deployment
16.11.2.2. By Services
16.11.2.3. By Vertical
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Deployment
16.12.2.2. By Services
16.12.2.3. By Vertical
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Deployment
16.13.2.2. By Services
16.13.2.3. By Vertical
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Deployment
16.14.2.2. By Services
16.14.2.3. By Vertical
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Deployment
16.15.2.2. By Services
16.15.2.3. By Vertical
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Deployment
16.16.2.2. By Services
16.16.2.3. By Vertical
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Deployment
16.17.2.2. By Services
16.17.2.3. By Vertical
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Deployment
16.18.2.2. By Services
16.18.2.3. By Vertical
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Deployment
16.19.2.2. By Services
16.19.2.3. By Vertical
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Deployment
16.20.2.2. By Services
16.20.2.3. By Vertical
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Deployment
16.21.2.2. By Services
16.21.2.3. By Vertical
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2022
16.22.2.1. By Deployment
16.22.2.2. By Services
16.22.2.3. By Vertical
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2022
16.23.2.1. By Deployment
16.23.2.2. By Services
16.23.2.3. By Vertical
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Deployment
17.3.3. By Services
17.3.4. By Vertical
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Microstrategy
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. Jaspersoft
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Pentaho
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Mode Analytics
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Looker
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Sisense
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Insightsoftware
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. SAP
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Oracle
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. QlikView
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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