
Region:Global
Author(s):Vijay Kumar
Product Code:KROD1897
December 2024
98

The Global Advanced Analytics Market can be segmented based on Solution Type, Industry Vertical, and Region.
By Solution Type: The global advanced analytics market is segmented by solution type into software and services. In 2023, software solutions held the dominant market share due to their critical role in enabling businesses to process and analyze vast amounts of data efficiently. Leading software solutions like IBMs Watsonx, SAS Advanced Analytics, and Microsofts Azure Machine Learning provide comprehensive capabilities for predictive and prescriptive analytics, which are essential for businesses to gain insights and make data-driven decisions.

By Industry Vertical: The market is further segmented by industry verticals into healthcare, finance, retail, and manufacturing. The finance sector accounted for the largest market share in 2023, driven by the industry's need for sophisticated tools to manage risk, detect fraud, and comply with regulatory requirements.

By Region: Geographically, the advanced analytics market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa (MEA). North America dominated the market in 2023, driven by the high concentration of technology companies, advanced infrastructure, and substantial investments in AI and big data technologies.
|
Company Name |
Headquarters |
Establishment Year |
|
SAS Institute |
Cary, North Carolina |
1976 |
|
IBM Corporation |
Armonk, New York |
1911 |
|
Oracle Corporation |
Austin, Texas |
1977 |
|
SAP SE |
Walldorf, Germany |
1972 |
|
Microsoft Corporation |
Redmond, Washington |
1975 |
The Global Advanced Analytics Market is poised for significant growth, driven by advancements in AI and machine learning, increased demand for real-time analytics, and rising adoption in emerging markets.
|
By Solution |
Software Services |
|
By Industry Vertical |
Finance Healthcare Retail Manufacturing |
|
By Region |
North America Europe APAC Latin America MEA |
|
By Deployment Mode |
Cloud-Based On-Premises Hybrid |
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. Increasing Demand for Real-Time Analytics
3.1.2. Expansion of AI and Machine Learning Applications
3.1.3. Rising Adoption in Emerging Markets
3.2. Restraints
3.2.1. Data Privacy and Security Concerns
3.2.2. High Implementation Costs
3.2.3. Shortage of Skilled Professionals
3.3. Opportunities
3.3.1. Technological Advancements in Analytics Solutions
3.3.2. Growing Cloud Adoption
3.3.3. Expansion into New Industry Verticals
3.4. Trends
3.4.1. Increased Adoption of Cloud-Based Analytics
3.4.2. Integration of AI with Business Intelligence Tools
3.4.3. Focus on Data Governance and Compliance
3.5. Government Regulations
3.5.1. U.S. AI for America Program
3.5.2. European Unions Digital Europe Programme
3.5.3. Indias Digital India Initiative
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem
4.1. By Solution Type (in Value %)
4.1.1. Software
4.1.2. Services
4.2. By Industry Vertical (in Value %)
4.2.1. Healthcare
4.2.2. Finance
4.2.3. Retail
4.2.4. Manufacturing
4.3. By Deployment Mode (in Value %)
4.3.1. Cloud-Based
4.3.2. On-Premises
4.3.3. Hybrid
4.4. By Region (in Value %)
4.4.1. North America
4.4.2. Europe
4.4.3. Asia-Pacific
4.4.4. Latin America
4.4.5. MEA
5.1. Detailed Profiles of Major Companies
5.1.1. SAS Institute
5.1.2. IBM Corporation
5.1.3. Oracle Corporation
5.1.4. SAP SE
5.1.5. Microsoft Corporation
5.2. Cross Comparison Parameters (No. of Employees, Headquarters, Inception Year, Revenue)
6.1. Market Share Analysis
6.2. Strategic Initiatives
6.3. Mergers and Acquisitions
6.4. Investment Analysis
6.4.1. Venture Capital Funding
6.4.2. Government Grants
6.4.3. Private Equity Investments
7.1. Data Privacy and Security Standards
7.2. Compliance Requirements
7.3. Certification Processes
8.1. Future Market Size Projections
8.2. Key Factors Driving Future Market Growth
9.1. By Solution Type (in Value %)
9.2. By Industry Vertical (in Value %)
9.3. By Deployment Mode (in Value %)
9.4. By Region (in Value %)
10.1. TAM/SAM/SOM Analysis
10.2. Customer Cohort Analysis
10.3. Marketing Initiatives
10.4. White Space Opportunity Analysis
Creating an ecosystem for all major entities within the Global Advanced Analytics Market and referencing a combination of secondary and proprietary databases to conduct desk research. This step involves gathering industry-level information, identifying market trends, and understanding the competitive landscape to ensure a comprehensive analysis.
Collating statistics on the Global Advanced Analytics Market over the years, analyzing market penetration across various segments, and evaluating the performance of key market players. This includes reviewing product capabilities, market shares, and sales data to accurately compute the revenue generated within the global advanced analytics market. Quality checks are conducted to ensure the accuracy and reliability of the data points shared.
Developing market hypotheses and conducting Computer Assisted Telephone Interviews (CATIs) with industry experts and stakeholders from leading companies in the advanced analytics market. These interviews are crucial for validating the collected data, refining market forecasts, and obtaining operational and financial insights directly from industry representatives.
Engaging with multiple key players in the advanced analytics industry to understand the dynamics of product segments, customer needs, sales patterns, and market challenges. This step involves using a bottom-up approach to validate the data, ensuring that the final statistics and insights accurately reflect market conditions and support strategic decision-making.
The global advanced analytics market reached a valuation of USD 97 billion in 2023, driven by the increasing adoption of data-driven decision-making across various sectors such as healthcare, finance, and retail.
Challenges in the global advanced analytics market include data privacy and security concerns, high implementation costs, and a shortage of skilled professionals. These factors can limit the adoption and effectiveness of analytics solutions.
Key players in the global advanced analytics market include SAS Institute, IBM Corporation, Oracle Corporation, SAP SE, and Microsoft Corporation. These companies lead the market due to their innovative analytics solutions and strong global presence.
The global advanced analytics market is driven by the increasing demand for real-time analytics, the expansion of AI and machine learning applications, and the rising adoption of advanced analytics solutions in emerging markets.
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