Market size
The global business intelligence market size was valued at $27.11 billion in 2022 & is projected to grow from $29.42 billion in 2023 to $54.27 billion by 2030 The global business intelligence market size was valued at $27.11 billion in 2022 & is projected to grow from $29.42 billion in 2023 to $54.27 billion by 2030 (1)

Total Addressable Market (TAM)
- Scope: All data consumers and users.
- Calculation: Since this encompasses a wide range of businesses and individuals, it aligns with the global BI market size. Therefore, the TAM could be approximated as the entire BI market, which is projected to reach USD 54.27 billion by 2030.
Serviceable Addressable Market (SAM)
- Scope: CEOs, CTOs, CIOs, Data Management Professionals, and Data Compliance Officers in small to midsize businesses in the USA.
- Calculation:
- With 33.2 million small businesses in the USA.
- Assuming 5% of these businesses are potential customers for Logosphere, we have 1.66 million businesses (33.2 million × 5%).
- Using the assumed average revenue per customer of $3,305 (3) which is half that of Tableau’s 2011 ARPC, the SAM would be approximately 1.66 million × $3,305 = $5.49 billion.

Serviceable Obtainable Market (SOM)
- Scope: Blockchain enthusiasts, innovation-driven developers, and startup entrepreneurs.
- Calculation:
- With about 1 billion blockchain owners in the US and 16% of them being entrepreneurs, this gives us 160 million potential customers in this segment.
- Assuming Logosphere can capture a small portion of this market (for example, 1%), the SOM would be 1.6 million potential customers.
- Assuming average spend of $1,000 per year, the SOM would be 1.6 million × $1,000 = $1.6 billion.
Assumptions and Considerations
- Market Dynamics: Changes in the BI market, blockchain adoption rates, and economic conditions can significantly impact these figures.
- Average Spend: The assumed average spend is a placeholder and can vary greatly based on the services offered and customer needs.
- Market Share Assumption: The percentages used for market capture are hypothetical and should be refined with more specific market insights and competitive analysis.
Target Markets
For a product that integrates blockchain with big data, various personas represent different segments of your target market. Each persona has unique needs, challenges, and goals, which can help guide product development, marketing strategies, and sales approaches. Here are some potential personas:
1. Tech-Savvy Business Leader (CEO, CTO)
- Demographics: 35-55 years old, in leadership positions in medium to large enterprises.
- Goals: Seeking innovative solutions to drive business growth, improve efficiency, and gain a competitive edge.
- Challenges: Needs to balance innovation with risk management, especially with emerging technologies like blockchain.
- Interests: Interested in long-term strategic investments and technologies that can provide a strong ROI.
2. Data Management Professional (Data Architect, Database Administrator)
- Demographics: 25-45 years old, with a background in IT and data management.
- Goals: Looking for robust, scalable solutions for managing large datasets efficiently.
- Challenges: Struggling with data silos, data security, and ensuring data integrity across systems.
- Interests: Keen on technologies that simplify data management, improve data quality, and ensure compliance with data privacy laws.
3. IT Security Expert (CISO, Security Analyst)
- Demographics: 30-50 years old, with extensive experience in cybersecurity.
- Goals: Wants to ensure the highest level of data security and prevent breaches.
- Challenges: Facing increasing threats and the complexity of securing vast amounts of data.
- Interests: Interested in cutting-edge security solutions, particularly those utilizing blockchain for enhanced security and data integrity.
4. Blockchain Enthusiast (Blockchain Developer, Crypto Entrepreneur)
- Demographics: 20-40 years old, often with a background in software development or entrepreneurship.
- Goals: Aims to explore and leverage blockchain technology for innovative applications.
- Challenges: Looking for scalable and efficient blockchain solutions that can be integrated with existing systems.
- Interests: Deeply interested in blockchain trends, decentralization, and potential use cases beyond cryptocurrencies.
5. Data Compliance Officer (Compliance Manager, Regulatory Affairs Specialist)
- Demographics: 35-55 years old, often with a legal or regulatory background.
- Goals: Ensuring the company adheres to data protection and privacy laws.
- Challenges: Keeping up with changing regulations and implementing compliant data management systems.
- Interests: Focused on solutions that offer clear compliance benefits, including audit trails and data integrity features.
6. Innovation-driven Developer (Software Developer, System Integrator)
- Demographics: 22-40 years old, with a strong technical background in software development.
- Goals: Seeking to build cutting-edge applications with the latest technologies.
- Challenges: Needs tools that are both innovative and reliable to develop scalable applications.
- Interests: Keen on exploring new technologies, especially those that offer new programming paradigms or integration capabilities.
7. Enterprise Analyst (Business Analyst, Data Analyst)
- Demographics: 25-45 years old, often with a background in business or data analysis.
- Goals: Aims to harness data for actionable insights and informed decision-making.
- Challenges: Needs to integrate and analyze data from multiple sources effectively.
- Interests: Interested in analytical tools that can handle big data and provide meaningful insights.
These personas highlight the diverse range of professionals who might be interested in a blockchain and big data solution. Understanding their distinct needs and preferences is crucial for tailoring your product's features, marketing messages, and sales strategies to resonate with each group effectively.
Competitive landscape
Feature / Competitor |
IBM Blockchain |
Microsoft Azure Blockchain |
Oracle Blockchain |
AWS Blockchain |
SAP Leonardo Blockchain |
Chainalysis |
Splunk Blockchain Analytics |
Base Technology |
Hyperledger Fabric |
Multiple Protocols |
Hyperledger Fabric |
Multiple Protocols |
SAP Systems |
Proprietary |
Proprietary |
Target Market |
Enterprises |
Enterprises, Azure Users |
Oracle Users |
Broad, incl. Startups |
SAP Clients |
Financial, Govt. Agencies |
Enterprises |
Primary Use Case |
Diverse Enterprise Applications |
Blockchain as a Service |
Integrated Blockchain Solutions |
Managed Blockchain Service |
ERP Integration |
Cryptocurrency Analysis |
Blockchain Data Analytics |
Industry Focus |
Multi-industry |
Multi-industry |
Multi-industry |
Multi-industry |
Multi-industry |
Cryptocurrency |
Multi-industry |
Integration |
With existing systems |
Azure Cloud Services |
Oracle Apps |
AWS Services |
SAP Systems |
N/A |
IT Infrastructure |
Scalability |
High |
High |
High |
High |
High |
Moderate |
High |
Security Features |
Advanced |
Advanced |
Advanced |
Advanced |
Advanced |
High |
Advanced |
Analytics Capabilities |
Moderate |
High |
Moderate |
High |
Moderate |
High |
High |
Developer Support |
Extensive |
Extensive |
Extensive |
Extensive |
Extensive |
Limited |
Extensive |
Pricing Model |
Subscription-based |
Pay-as-you-go |
Custom |
Pay-as-you-use |
Custom |
Custom |
Subscription-based, Perpetual License |
1. Microsoft Azure Blockchain Service
- Offerings: Provides blockchain as a service (BaaS), integrated with Azure's cloud and big data analytics tools.
- Target Market: Enterprises leveraging Azure, spanning various industries like finance, supply chain, healthcare, and more.
- Value Proposition: Seamless integration with Azure services, robust cloud infrastructure.
- Unique Selling Points: Deep integration with Azure cloud, support for various blockchain protocols.
- Strengths: Strong cloud infrastructure, scalability, support for multi-cloud and hybrid-cloud environments.
- Weaknesses: Reliance on the Azure ecosystem, may not be optimal for non-Azure users.
- Pricing: Azure Blockchain Service pricing typically follows a pay-as-you-go model, based on the resources consumed.
2. Oracle Blockchain
- Offerings: Blockchain solutions integrated with Oracle’s suite of enterprise applications, based on Hyperledger Fabric.
- Target Market: Businesses heavily using Oracle products, like ERP and cloud services.
- Value Proposition: Comprehensive integration with Oracle applications, enterprise-grade security.
- Unique Selling Points: Pre-assembled cloud-based blockchain service, easy integration with existing Oracle apps.
- Strengths: Strong in data integrity and scalability, established enterprise client base.
- Weaknesses: Potentially less appealing to non-Oracle customers, complexity in implementation.
- Pricing: Oracle Blockchain pricing details are usually customized and require direct inquiry for precise quotes.
3. Amazon Web Services (AWS) Blockchain
- Offerings: Blockchain technology solutions alongside big data services like Amazon EMR and Redshift.
- Target Market: Broad, including finance, healthcare, supply chain, and startups.
- Value Proposition: Scalable and secure blockchain solutions with extensive cloud support.
- Unique Selling Points: Integration with AWS’s cloud services and IoT, managed blockchain service.
- Strengths: Extensive infrastructure, high scalability, global reach.
- Weaknesses: Might be complex for smaller businesses, data privacy concerns.
- Pricing: AWS Blockchain uses a pay-as-you-use pricing model, varying based on the services used.
4. SAP Leonardo Blockchain
- Offerings: Blockchain integrated with SAP ERP and big data solutions, focusing on business process optimization.
Sources Cited
- https://www.fortunebusinessinsights.com/business-intelligence-bi-market-103742
- https://www.uschamber.com/small-business/state-of-small-business-now
- https://www.forbes.com/sites/greatspeculations/2015/04/08/initiating-coverage-of-tableau-at-price-estimate-of-103-per-share/?sh=4de4c5b850e2