Data Analytics Market Research Report by Type, Solution, Function, Deployment, Organization Size, Application, End Use, Region - Cumulative Impact of COVID-19, Russia Ukraine Conflict, High Inflation

Description

List of Tables

The Global Data Analytics Market size was estimated at USD 41.22 billion in 2022 and expected to reach USD 48.85 billion in 2023, projecting growth at a CAGR of 18.66% to reach USD 162.03 billion by 2030.

Cumulative Impact of COVID-19:

COVID-19 is an unprecedented global public health emergency that affected almost every industry, and the long-term impacts are projected to reflect on the growth of various end-use industries during the forecast period. This ongoing research amplifies the research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19, considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The dedicated section in the report uncovers a detailed analysis of the impact of COVID-19 and its subsequent variant outbreaks on demand, supply, price, and vendor uptake and provides recommendations for sustainable outcomes. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the Global Data Analytics Market.

Cumulative Impact of Russia-Ukraine Conflict:

We continuously monitor and update reports considering unceasing political and economic uncertainty due to the Russia-Ukraine Conflict. Negative impacts are globally foreseen, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected people's lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on Ukraine and reverberate harsh long-term effects on Russia. The report uncovers the implications for demand-supply balances, pressure on pricing variants, impact on import/export and trading, and short-term recommendations to the Global Data Analytics Market considering the current update on the conflict and its global responses.

Cumulative Impact of High Inflation:

The high inflation in developed economies globally has resulted in an overall price surge over the past two years. The cumulatively eroding overall purchasing power is expected to impact developing economies significantly and is considered helpful in numerous ways. The report uncovers the effect of high inflation on the long-term performance of the global economy and provides details on fiscal policies measuring and reducing its short-term impacts on demand/supply, cash flow, and currency exchange. The Global Data Analytics Market report delivers the high inflation expectation considering the related impact from cost-push and demand-pull inflation.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make better decisions. In this report, the years 2018 and 2021 are considered as historical years, 2022 as the base year, 2023 as the estimated year, and years from 2024 to 2030 are considered as the forecast period.

Market Segmentation & Coverage:

The report on the Global Data Analytics Market identifies key attributes about the customer to define the potential market and identify different needs across the industry. Understanding the potential customer group's economies and geographies can help gain business acumen for better strategic decision-making. Our market coverage across different industry verticals reveals the hidden truth about the players' strategies in different verticals and helps the organization decide target audience. This report gives you the composite view of sub-markets coupled with comprehensive industry coverage and provides you with the right way of accounting factors such as norms & regulations, culture, to make right coverage strategy for your market plan. This research report categorizes the Global Data Analytics Market in order to forecast the revenues and analyze the trends in each of the following sub-markets.

Based on Type, the market is studied across Customer, Descriptive, Predictive, and Prescriptive.

Based on Solution, the market is studied across Data Management, Data Mining, Data Monitoring, and Fraud & Security Intelligence.

Based on Function, the market is studied across Accounting & Finance Analytics, HR Analytics, Marketing Analytics, Operational Analytics, and Sales Analytics.

Based on Deployment, the market is studied across Cloud and On-Premises.

Based on Organization Size, the market is studied across Large Enterprises and Small & Medium Enterprises.

Based on Application, the market is studied across Enterprise Resource Planning, Database Management, Human Resource Management, and Supply Chain Management.

Based on End Use, the market is studied across BFSI, Energy & Power, Healthcare, IT & Telecom, Manufacturing, Media & Entertainment, Retail & E-Commerce, and Transport & Logistics.

Based on Region, the 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.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes vendors in the Global Data Analytics Market. based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinder, N: Niche, and V: Vital). The Global Data Analytics Market FPNV Positioning Matrix representation/visualization further aids businesses in better decision-making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market, providing the idea of revenue generation into the overall market compared to other vendors in the space. This provides insights on vendors performance in terms of revenue generation and customer base compared to others. The Global Data Analytics Market Share Analysis offers an idea of the size and competitiveness of the vendors for the base year. The outcome reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:

The Competitive Scenario provides an outlook analysis of the various strategies for business growth adopted by the vendors. The news in this section covers valuable insights at various stages while keeping up with the business and engaging stakeholders in the economic debate. The Global Data Analytics Market Competitive Scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected helps vendors understand the gaps in the marketplace and competitor's strengths and weaknesses, providing insights to enhance products and services.

Company Usability Profiles:

The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Data Analytics Market, including Alteryx, Inc, Amazon Web Services, Inc., Datameer, Inc., Dell Inc., IBM Corporation, Looker Data Sciences, Inc., Microsoft Corporation, Mu Sigma, Oracle Corporation, SAP SE, SAS Institute Inc., SiSense Inc, Tableau Software, LLC., ThoughtSpot, Inc., and Zoho Corporation Pvt. Ltd..

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation

5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

6. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Data Analytics Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Data Analytics Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Data Analytics Market?

4. What is the competitive strategic window for opportunities in the Global Data Analytics Market?

5. What are the technology trends and regulatory frameworks in the Global Data Analytics Market?

6. What is the market share of the leading vendors in the Global Data Analytics Market?

7. What modes and strategic moves are considered suitable for entering the Global Data Analytics Market?

Product Code: MRR-4358917D64C7

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. Limitations
1.7. Assumptions
1.8. 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. Growth in adoption of advanced technologies for business operations and high data volume generation
  - 5.1.1.2. Expanding IT & database industry worldwide
  - 5.1.1.3. Increasing applications in business-critical decision areas
- 5.1.2. Restraints
  - 5.1.2.1. High investment cost
- 5.1.3. Opportunities
  - 5.1.3.1. Real-time data analytics, data recovery, and collaborative business intelligence
  - 5.1.3.2. Improving technology with AI
- 5.1.4. Challenges
  - 5.1.4.1. Data security issues
5.2. Cumulative Impact of COVID-19
5.3. Cumulative Impact of Russia-Ukraine Conflict
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Threat of Substitutes
- 5.5.4. Threat of Substitutes
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
5.8. Client Customization

6. Data Analytics Market, by Type

6.1. Introduction
6.2. Customer
6.3. Descriptive
6.4. Predictive
6.5. Prescriptive

7. Data Analytics Market, by Solution

7.1. Introduction
7.2. Data Management
7.3. Data Mining
7.4. Data Monitoring
7.5. Fraud & Security Intelligence

8. Data Analytics Market, by Function

8.1. Introduction
8.2. Accounting & Finance Analytics
8.3. HR Analytics
8.4. Marketing Analytics
8.5. Operational Analytics
8.6. Sales Analytics

9. Data Analytics Market, by Deployment

9.1. Introduction
9.2. Cloud
9.3. On-Premises

10. Data Analytics Market, by Organization Size

10.1. Introduction
10.2. Large Enterprises
10.3. Small & Medium Enterprises

11. Data Analytics Market, by Application

11.1. Introduction
11.2. Enterprise Resource Planning, Database Management
11.3. Human Resource Management
11.4. Supply Chain Management

12. Data Analytics Market, by End Use

12.1. Introduction
12.2. BFSI
12.3. Energy & Power
12.4. Healthcare
12.5. IT & Telecom
12.6. Manufacturing
12.7. Media & Entertainment
12.8. Retail & E-Commerce
12.9. Transport & Logistics

13. Americas Data Analytics Market

13.1. Introduction
13.2. Argentina
13.3. Brazil
13.4. Canada
13.5. Mexico
13.6. United States

14. Asia-Pacific Data Analytics Market

14.1. Introduction
14.2. Australia
14.3. China
14.4. India
14.5. Indonesia
14.6. Japan
14.7. Malaysia
14.8. Philippines
14.9. Singapore
14.10. South Korea
14.11. Taiwan
14.12. Thailand
14.13. Vietnam

15. Europe, Middle East & Africa Data Analytics Market

15.1. Introduction
15.2. Denmark
15.3. Egypt
15.4. Finland
15.5. France
15.6. Germany
15.7. Israel
15.8. Italy
15.9. Netherlands
15.10. Nigeria
15.11. Norway
15.12. Poland
15.13. Qatar
15.14. Russia
15.15. Saudi Arabia
15.16. South Africa
15.17. Spain
15.18. Sweden
15.19. Switzerland
15.20. Turkey
15.21. United Arab Emirates
15.22. United Kingdom

16. Competitive Landscape

16.1. FPNV Positioning Matrix
- 16.1.1. Quadrants
- 16.1.2. Business Strategy
- 16.1.3. Product Satisfaction
16.2. Market Ranking Analysis, By Key Player
16.3. Market Share Analysis, By Key Player
16.4. Product Portfolio Analysis, By Key Player
16.5. Competitive Scenario
- 16.5.1. Merger & Acquisition
- 16.5.2. Agreement, Collaboration, & Partnership
- 16.5.3. New Product Launch & Enhancement
- 16.5.4. Investment & Funding
- 16.5.5. Award, Recognition, & Expansion

17. Company Usability Profiles

17.1. Alteryx, Inc
17.2. Amazon Web Services, Inc.
17.3. Datameer, Inc.
17.4. Dell Inc.
17.5. IBM Corporation
17.6. Looker Data Sciences, Inc.
17.7. Microsoft Corporation
17.8. Mu Sigma
17.9. Oracle Corporation
17.10. SAP SE
17.11. SAS Institute Inc.
17.12. SiSense Inc
17.13. Tableau Software, LLC.
17.14. ThoughtSpot, Inc.
17.15. Zoho Corporation Pvt. Ltd.

18. Appendix

18.1. Discussion Guide
18.2. License & Pricing