Emphasis on Solution (Software, And Services), Deployment (Online Premises, And Cloud), End-User Vertical (BFSI, IT & Telecommunication, Retail, Healthcare, Others) and Region/Country
The Embedded Analytics Market was valued at 35.6 billion in 2022 and is expected to grow at a steady rate of around 14.65% in the forecasted period (2023-2030) owing to the increasing rising number of data-driven companies. Embedded analytics refers to the integration of data analysis tools and capabilities within other software applications or platforms. This allows users to access and analyze data without leaving the application they are using. The goal of embedded analytics is to provide insights and enable data-driven decision making directly within the context of business operations. Moreover, the embedded analytics market is also being driven by the rising need for users to have more control over their data analysis and visualization tools, with many seeking customizable and self-service options. Additionally, the inclusion of embedded analytics features within apps can potentially lead to new revenue streams or upselling opportunities, further fueling adoption.
Some of the major players operating in the market include GoodData Corporation.; SAS Institute Inc.; Zoho Corporation Pvt. Ltd.; Amazon Web Services, Inc.; IBM; Oracle; MICROSTRATEGY INCORPORATED.; SAP SE; Microsoft Corporation; TABLEAU SOFTWARE, LLC.
Insights Presented in the Report
“Among solution, the software segment holds largest share of the market during forecast period.”
Based on solution, the market is bifurcated into software, and services. Among these, the software-based segment dominates the embedded analytics market, with prominent players such as Tableau Software, Inc., Splunk Inc., and IBM Corporation offering robust tools for data visualization, real-time monitoring, and predictive analysis. Additionally, continuing innovative features by the software vendors are further contributing to the growth of the segment.
“Amongst deployment, cloud segment is holding the significant during the forecast period.”
Based on the deployment, the market is bifurcated into on-premises, and cloud. Among these, the cloud segment currently leads the embedded analytics market based on deployment. More and more organizations are moving towards cloud-based solutions due to benefits such as lower upfront costs, ease of maintenance, automatic updates, and flexibility in scaling up or down as needed. Cloud deployments also enable seamless collaboration across teams located worldwide while providing greater accessibility from remote locations.
“North America to hold a significant share in the market.”
The North American region has been experiencing rapid growth within the embedded analytics space due to factors such as early adoption rates coupled with technological advancements driving innovation along with increased competition among businesses seeking competitive advantages through more informed decision-making processes powered by advanced analytical tools integration into existing systems rather than standalone applications or manual procedures. Furthermore, government initiatives focusing on digital transformation across industries have spurred greater investment towards modernizing legacy infrastructure–resulting in an environment primed for widespread acceptance of next generation analytic offerings like those provided via embedded solutions. These elements combined create fertile ground for continued expansion within this lucrative market segment.
Embedded Analytics Market Report Coverage
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1. Market Introduction
2. Research Methodology Or Assumption
3. Market Synopsis
4. Executive Summary
5. Embedded Analytics Market Revenue (usd Bn), 2020-2030f
6. Market Insights By Solution
7. Market Insights By Deployment
8. Market Insights By Industry
9. Market Insights By Region
10. Embedded Analytics Market Dynamics
11. Embedded Analytics Market Opportunities
12. Embedded Analytics Market Trends
13. Demand And Supply-side Analysis
14. Value Chain Analysis
15. Pricing Analysis
16. Strategic Insights
17. Competitive Scenario
18. Company Profiled
19. Disclaimer
Research Methodology for the Embedded Analytics Market Analysis
(2023-2030)
Analyzing the historical market, estimating the current market, and forecasting the future market of the global Embedded Analytics market were the three major steps undertaken to create and analyze the adoption of Embedded Analytics market in major regions globally. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to validate these insights, numerous findings and assumptions were taken into consideration. Moreover, exhaustive primary interviews were also conducted, with industry experts across the value chain of the global Embedded Analytics market. Post assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. Detailed methodology is explained below:
Analysis of Historical Market Size
Step 1: In-Depth Study of Secondary Sources:
Detail secondary study was conducted to obtain the historical market size of the Embedded Analytics market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.
Step 2: Market Segmentation:
After obtaining the historical market size of the Embedded Analytics market, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report as solution, deployment, and end-user vertical. Further country-level analyses were conducted to evaluate the overall adoption of testing models in that region.
Step 3: Factor Analysis:
After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size of the Embedded Analytics market. Further, we conducted factor analysis using dependent and independent variables such as various solution, deployment, and end-user vertical Embedded Analytics market. A thorough analysis was conducted of demand and supply-side scenarios considering top partnerships, mergers and acquisitions, business expansion, and product launches in the Embedded Analytics market sector across the globe.
Current Market Size Estimate & Forecast
Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the global Embedded Analytics market, and market shares of the segments. All the required percentage shares split, and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.
Estimation & Forecasting: For market estimation and forecast, weights were assigned to different factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast for 2030 for different segments and sub-segments across the major markets globally. The research methodology adopted to estimate the market size encompasses:
Market Size and Share Validation
Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.
Split of Primary Participants in Different Regions
Market Engineering
The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global Embedded Analytics market. Data was split into several segments & sub-segments post studying various parameters and trends in the areas of solution, deployment, and end-user vertical in the global Embedded Analytics market.
The main objective of the Global Embedded Analytics Market Study
The current & future market trends of the global Embedded Analytics market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends determined the overall attractiveness of the market at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:
Q1: What is the current market size and growth potential of the global Embedded Analytics market?
Q2: What are the driving factors for the growth of the global Embedded Analytics market?
Q3: Which segment has the largest share of the global Embedded Analytics market by End-User Vertical?
Q4: Which region will dominate the global Embedded Analytics Market?
Q5: Who are the key players operating in the global Embedded Analytics Market?
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