Embedded Analytics Market by Deployment Mode, Organization Size, Industry Vertical

List of Tables

The Embedded Analytics Market was valued at USD 64.35 billion in 2023, expected to reach USD 72.34 billion in 2024, and is projected to grow at a CAGR of 11.46%, to USD 137.56 billion by 2030.

Embedded analytics refers to the integration of analytic capabilities within business applications. This approach allows users to apply data analysis tools and techniques directly within the application, enhancing functionality and user experience. The necessity of embedded analytics lies in its ability to provide real-time insights, streamline operations, and empower non-technical users to make data-driven decisions without needing separate, standalone analytics software. Applications span various sectors, including finance, healthcare, and retail, where it is crucial for operations such as performance monitoring, customer insights, and process optimization. The end-use scope includes industries that benefit from enhanced decision-making capabilities, operational efficiencies, and a competitive edge through real-time data insights. Market growth is primarily driven by increasing data volumes, the need for business agility, and advancements in artificial intelligence and machine learning that power sophisticated analytical models.

KEY MARKET STATISTICS
Base Year [2023]	USD 64.35 billion
Estimated Year [2024]	USD 72.34 billion
Forecast Year [2030]	USD 137.56 billion
CAGR (%)	11.46%

Key opportunities include the expansion of cloud-based solutions, fostering SME adoption due to cost-effective scalability, and the rise of personalized services in customer-facing applications. To seize these opportunities, businesses should invest in developing intuitive dashboards, ensure seamless integration with existing systems, and focus on customer-centric product development. However, the market faces challenges such as data privacy concerns, integration complexities, and the need for significant upfront investments in IT infrastructure. Limitations also arise from a potential skills gap in effectively utilizing analytics, affecting the desired business outcomes.

Innovation areas include developing self-service analytics platforms, enhancing natural language processing capabilities, and offering predictive analytics, which can transform reactive decision-making into proactive strategies. Research should focus on improving data security measures and developing scalable solutions that cater to both large enterprises and smaller companies. The nature of the embedded analytics market is dynamic, with rapid technological advancements necessitating continuous innovation and adaptation. Thus, staying abreast with customer needs and technological trends is critical for leveraging embedded analytics for business growth and maintaining a competitive edge.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Embedded Analytics Market

The Embedded Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Expansion of IoT devices generating massive amounts of data requiring embedded analytics
- Rising importance of predictive and prescriptive analytics in competitive business environments
- Enhanced focus on customer experience management through embedded analytics
- Surge in data-driven culture among businesses to improve operational efficiency and innovation
Market Restraints
- Scalability issues restrict the effectiveness of embedded analytics in large-scale deployments
Market Opportunities
- The increasing demand for real-time data analytics solutions in the embedded systems sector
- Growing adoption of AI and machine learning techniques in embedded analytics for personalized user experiences
- Expanding integration of embedded analytics in IoT devices for enhanced operational efficiency and decision making
Market Challenges
- Data privacy concerns limit the growth of embedded analytics in highly regulated industries

Porter's Five Forces: A Strategic Tool for Navigating the Embedded Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Embedded Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Embedded Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Embedded Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Embedded Analytics Market

A detailed market share analysis in the Embedded Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Embedded Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Embedded Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Embedded Analytics Market

A strategic analysis of the Embedded Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Embedded Analytics Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Birst, Inc., Domo, Inc., GoodData Corporation, IBM Corporation, Information Builders, Inc., Logi Analytics, Inc., Looker Data Sciences, Inc., Microsoft Corporation, MicroStrategy Incorporated, Oracle Corporation, Pentaho Corporation, QlikTech International AB, Salesforce.com, Inc., SAP SE, SAS Institute Inc., Sisense Inc., Tableau Software, LLC, TIBCO Software Inc., and Yellowfin International Pty Ltd.

Market Segmentation & Coverage

This research report categorizes the Embedded Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

Based on Deployment Mode, market is studied across Cloud-Based and On-Premises.
Based on Organization Size, market is studied across Large Enterprises and Small And Medium-Sized Enterprises (SMEs).
Based on Industry Vertical, market is studied across Banking, Financial Services, And Insurance (BFSI), Healthcare, IT And ITES, Manufacturing, Retail, and Telecommunications. The Banking, Financial Services, And Insurance (BFSI) is further studied across Insurance, Investment Banking, and Retail Banking. The Healthcare is further studied across Healthcare Providers, Hospitals, Medical Devices, and Pharmaceuticals. The IT And ITES is further studied across Business Process Outsourcing (BPO) and IT Services. The Manufacturing is further studied across Discrete Manufacturing and Process Manufacturing. The Retail is further studied across Offline Retail and Online Retail. The Telecommunications is further studied across Internet Services, Mobile Services, and Network Services.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-1A1A064C003F

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Expansion of IoT devices generating massive amounts of data requiring embedded analytics
  - 5.1.1.2. Rising importance of predictive and prescriptive analytics in competitive business environments
  - 5.1.1.3. Enhanced focus on customer experience management through embedded analytics
  - 5.1.1.4. Surge in data-driven culture among businesses to improve operational efficiency and innovation
- 5.1.2. Restraints
  - 5.1.2.1. Scalability issues restrict the effectiveness of embedded analytics in large-scale deployments
- 5.1.3. Opportunities
  - 5.1.3.1. The increasing demand for real-time data analytics solutions in the embedded systems sector
  - 5.1.3.2. Growing adoption of AI and machine learning techniques in embedded analytics for personalized user experiences
  - 5.1.3.3. Expanding integration of embedded analytics in IoT devices for enhanced operational efficiency and decision making
- 5.1.4. Challenges
  - 5.1.4.1. Data privacy concerns limit the growth of embedded analytics in highly regulated industries
5.2. Market Segmentation Analysis
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Embedded Analytics Market, by Deployment Mode

6.1. Introduction
6.2. Cloud-Based
6.3. On-Premises

7. Embedded Analytics Market, by Organization Size

7.1. Introduction
7.2. Large Enterprises
7.3. Small And Medium-Sized Enterprises (SMEs)

8. Embedded Analytics Market, by Industry Vertical

8.1. Introduction
8.2. Banking, Financial Services, And Insurance (BFSI)
- 8.2.1. Insurance
- 8.2.2. Investment Banking
- 8.2.3. Retail Banking
8.3. Healthcare
- 8.3.1. Healthcare Providers
- 8.3.2. Hospitals
- 8.3.3. Medical Devices
- 8.3.4. Pharmaceuticals
8.4. IT And ITES
- 8.4.1. Business Process Outsourcing (BPO)
- 8.4.2. IT Services
8.5. Manufacturing
- 8.5.1. Discrete Manufacturing
- 8.5.2. Process Manufacturing
8.6. Retail
- 8.6.1. Offline Retail
- 8.6.2. Online Retail
8.7. Telecommunications
- 8.7.1. Internet Services
- 8.7.2. Mobile Services
- 8.7.3. Network Services

9. Americas Embedded Analytics Market

9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States

10. Asia-Pacific Embedded Analytics Market

10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam

11. Europe, Middle East & Africa Embedded Analytics Market

11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom

12. Competitive Landscape

12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
12.4. Strategy Analysis & Recommendation

Companies Mentioned

1. Amazon Web Services, Inc.
2. Birst, Inc.
3. Domo, Inc.
4. GoodData Corporation
5. IBM Corporation
6. Information Builders, Inc.
7. Logi Analytics, Inc.
8. Looker Data Sciences, Inc.
9. Microsoft Corporation
10. MicroStrategy Incorporated
11. Oracle Corporation
12. Pentaho Corporation
13. QlikTech International AB
14. Salesforce.com, Inc.
15. SAP SE
16. SAS Institute Inc.
17. Sisense Inc.
18. Tableau Software, LLC
19. TIBCO Software Inc.
20. Yellowfin International Pty Ltd