
Region:Global
Author(s):Abhinav kumar
Product Code:KROD2043
December 2024
86

The global data and analytics software market is segmented by region, component, and deployment mode.
By Region: The global data and analytics software market is segmented into North America, Europe, Asia-Pacific (APAC), Middle East & Africa (MEA), and Latin America. In 2023, North America led the market due to its early adoption of advanced analytics solutions and robust cloud infrastructure. APAC, particularly China and India, is expected to experience significant growth due to rising investments in digital transformation.

By Component: The market is segmented into software and services. In 2023, the software segment held the highest market share, driven by the growing demand for advanced analytics platforms that provide real-time insights and predictive analytics. Businesses prefer comprehensive software solutions that centralize data management and streamline analytics processes.

By Deployment Mode: The market is segmented into cloud-based and on-premise solutions. In 2023, the cloud-based segment dominated the market due to the increasing need for scalable, cost-efficient data analytics platforms that offer flexibility and remote access. Enterprises are moving towards cloud solutions to improve data accessibility and processing power.
|
Company |
Establishment Year |
Headquarters |
|
IBM Corporation |
1911 |
Armonk, New York, USA |
|
Microsoft Corporation |
1975 |
Redmond, Washington, USA |
|
Oracle Corporation |
1977 |
Austin, Texas, USA |
|
SAP SE |
1972 |
Walldorf, Germany |
|
SAS Institute Inc. |
1976 |
Cary, North Carolina, USA |
The global data and analytics software market is expected to witness substantial growth through 2028, driven by advancements in AI and machine learning, increased demand for cloud-based analytics platforms, and the growing need for real-time data processing across industries.
|
By Component |
Software services |
|
By Deployment Mode |
Cloud-Based On-Premise |
|
By Organization Size |
Large Enterprises Small Enterprises |
|
By End-Use Industry |
BFSI IT & Telecom Healthcare Retail Manufacturing |
|
By Region |
North India South India West India East India |
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3.1. Growth Drivers
3.1.1. Rising Demand for Real-time Data Analytics Solutions
3.1.2. Cloud Migration and Adoption of AI-Powered Analytics
3.1.3. Government Initiatives Supporting Digital Transformation
3.2. Market Challenges
3.2.1. Data Privacy and Security Concerns
3.2.2. Shortage of Skilled Data Professionals
3.2.3. Integration with Legacy Systems
3.3. Opportunities
3.3.1. Expansion into Emerging Markets
3.3.2. Technological Advancements in Predictive Analytics
3.3.3. Increased Focus on Cloud-based Data Solutions
3.4. Trends
3.4.1. AI Integration in Data Analytics Platforms
3.4.2. Rise of Edge Computing in Analytics
3.4.3. Expansion of Data Analytics in SMEs
3.5. Government Regulation
3.5.1. GDPR Compliance and Data Privacy Regulations
3.5.2. National Data and Analytics Policies
3.5.3. Cybersecurity Standards
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Porter’s Five Forces Analysis
3.9. Competition Ecosystem
4.1. By Component (In Value %)
4.1.1. Software
4.1.2. Services
4.2. By Deployment Mode (In Value %)
4.2.1. Cloud-Based
4.2.2. On-Premise
4.3. By Organization Size (In Value %)
4.3.1. Large Enterprises
4.3.2. SMEs
4.4. By End-Use Industry (In Value %)
4.4.1. BFSI
4.4.2. IT & Telecom
4.4.3. Healthcare
4.4.4. Retail
4.4.5. Manufacturing
4.5. By Region (In Value %)
4.5.1. North America
4.5.2. Europe
4.5.3. Asia-Pacific
4.5.4. Middle East & Africa
4.5.5. Latin America
5.1. Detailed Profiles of Major Companies (Headquarters, Inception Year, Revenue, AI-powered Platforms)
5.1.1. IBM Corporation
5.1.2. Microsoft Corporation
5.1.3. Oracle Corporation
5.1.4. SAP SE
5.1.5. SAS Institute Inc.
5.1.6. Amazon Web Services (AWS)
5.1.7. Teradata Corporation
5.1.8. Alteryx Inc.
5.1.9. Tableau Software (Salesforce)
5.1.10. MicroStrategy Inc.
5.1.11. TIBCO Software Inc.
5.1.12. Informatica LLC
5.1.13. Splunk Inc.
5.1.14. QlikTech International AB
5.1.15. Zoho Analytics
5.2. Cross Comparison Parameters (Revenue, Headquarters, AI Integration, Cloud Solutions, Real-time Data Processing, Market Share, Service Offerings, Global Presence)
5.3. Market Share Analysis
5.4. Strategic Initiatives
5.4.1. Mergers & Acquisitions
5.4.2. Partnerships & Collaborations
5.5. Investment Analysis
5.6. Venture Capital Funding
5.7. Government Grants
5.8. Private Equity Investments
6.1. Data Privacy and Security Regulations
6.2. Compliance Requirements for Cloud-Based Solutions
6.3. Certification Processes for AI-Driven Platforms
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8.1. By Component (In Value %)
8.2. By Deployment Mode (In Value %)
8.3. By Organization Size (In Value %)
8.4. By End-Use Industry (In Value %)
8.5. By Region (In Value %)
9.1. TAM/SAM/SOM Analysis
9.2. Customer Cohort Analysis
9.3. Marketing Initiatives
9.4. White Space Opportunity Analysis
Ecosystem creation for all the major entities and referring to multiple secondary and proprietary databases to perform desk research around the Market to collate Market-level information.
Collating statistics on the global data and analytics software market over the years, and analyzing the penetration of Marketplaces as well as the ratio of service providers to compute the revenue generated for the market. We will also review service quality statistics to understand the revenue generated which can ensure accuracy behind the data points shared.
Building Market hypotheses and conducting CATIs with Market experts belonging to different companies to validate statistics and seek operational and financial information from company representatives.
Our team will approach multiple data and analytics software companies to understand the nature of service segments, consumer preferences, and other parameters. This supports validating statistics derived through a bottom-to-top approach from these data and analytics software companies, ensuring accuracy and reliability in the report.
The global data and analytics software market was valued at $141 billion in 2023. The market is driven by increased digital transformation, cloud migration, and the growing demand for real-time data analytics across various industries, including healthcare, finance, and retail.
Challenges in the global data and analytics software market include data privacy concerns, the shortage of skilled data professionals, and integration issues with legacy systems. Additionally, stringent regulatory requirements in regions like the EU add to compliance costs for enterprises.
Major players in the global data and analytics software market include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, and SAS Institute Inc. These companies dominate the market with their comprehensive platforms, cloud solutions, and AI-powered analytics tools.
Key growth drivers include the increasing adoption of AI-powered analytics, the rising demand for cloud-based solutions, and government initiatives promoting digital transformation. The healthcare, finance, and retail sectors are significant contributors to the markets expansion.
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