Europe Construction Aggreate Market 2023
Data analytics involves using various techniques and tools to uncover patterns, trends, and correlations within data sets, enabling organizations to make data-driven decisions and gain a competitive advantage. With the proliferation of digital technologies and the internet, there has been an exponential growth in the volume of data generated by individuals, organizations, and connected devices. This abundance of data creates opportunities for businesses to leverage analytics to extract valuable insights and drive innovation.
According to the latest research, the data analytics market in Southeast Asia is poised to grow by USD 3.7 billion during 2023-2029, progressing at a CAGR of 19.84% during the forecast period.
The report covers market size and growth, segmentation, country breakdowns, competitive landscape, trends and strategies for data analytics market in Southeast Asia. It presents a quantitative analysis of the market to enable stakeholders to capitalize on the prevailing market opportunities. The report also identifies top segments for opportunities and strategies based on market trends and leading competitors’ approaches.
Market Segmentation
Type: predictive analytics, prescriptive analytics, descriptive analytics, diagnostic analytics
Solution: data management, fraud and security intelligence, data mining, data visualization, data monitoring
Deployment mode: on-cloud, on-premises
Application: enterprise resource planning, supply chain management, human resource management, database management, others
End user: financial, IT and telecommunication, manufacturing, retail, energy and power, healthcare, transport , media, others
Function: sales analytics, marketing analytics, accounting and finance analytics, HR analytics, operational analytics, others
Country: Philippines, Singapore, Malaysia, Thailand, Vietnam, Indonesia, Rest of Southeast Asia
This industry report offers market estimates and forecasts of the Southeast Asia market, followed by a detailed analysis of the type, solution, deployment mode, application, end user, function, and country. The Southeast Asia market for data analytics can be segmented by type: predictive analytics, prescriptive analytics, descriptive analytics, diagnostic analytics. The predictive analytics segment is estimated to account for the largest share of the data analytics market in Southeast Asia. Data analytics market is further segmented by solution: data management, fraud and security intelligence, data mining, data visualization, data monitoring. The data management segment held the largest revenue share in 2022. Based on deployment mode, the data analytics market is segmented into: on-cloud, on-premises. In Southeast Asia, the on-cloud segment made up the largest share of the data analytics market. On the basis of application, the data analytics market also can be divided into: enterprise resource planning, supply chain management, human resource management, database management, others. The enterprise resource planning segment was the largest contributor to the Southeast Asia data analytics market in 2022. Data analytics market by end user is categorized into: financial, IT and telecommunication, manufacturing, retail, energy and power, healthcare, transport , media, others. The financial segment is estimated to account for the largest share of the data analytics market in Southeast Asia. The data analytics market by function can be segmented into: sales analytics, marketing analytics, accounting and finance analytics, HR analytics, operational analytics, others. The sales analytics segment held the largest revenue share in 2022. Based on country, the data analytics market is further categorized into: Philippines, Singapore, Malaysia, Thailand, Vietnam, Indonesia, Rest of Southeast Asia.
Major Companies and Competitive Landscape
The report has also analyzed the competitive landscape of the data analytics market in Southeast Asia with some of the key players being Alteryx, Inc., Amazon Web Services, Inc., Dell Inc., Hewlett Packard Enterprise Development LP, IBM Corporation, Microsoft Corporation, Mu Sigma Inc., Oracle Corporation, Salesforce.com, Inc., SAP SE, among others. In this report, key players and their strategies are thoroughly analyzed to understand the competitive outlook of the market.
Scope of the Report
To analyze and forecast the market size of the data analytics market in Southeast Asia.
To classify and forecast the data analytics market in Southeast Asia based on type, solution, deployment mode, application, end user, function, country.
To identify drivers and challenges for the data analytics market in Southeast Asia.
To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the data analytics market in Southeast Asia.
To identify and analyze the profile of leading players operating in the data analytics market in Southeast Asia.
Why Choose This Report
Gain a reliable outlook of the data analytics market in Southeast Asia forecasts from 2023 to 2029 across scenarios.
Identify growth segments for investment.
Stay ahead of competitors through company profiles and market data.
The market estimate for ease of analysis across scenarios in Excel format.
Strategy consulting and research support for three months.
Print authentication provided for the single-user license.
According to the latest research, the data analytics market in Southeast Asia is poised to grow by USD 3.7 billion during 2023-2029, progressing at a CAGR of 19.84% during the forecast period.
The report covers market size and growth, segmentation, country breakdowns, competitive landscape, trends and strategies for data analytics market in Southeast Asia. It presents a quantitative analysis of the market to enable stakeholders to capitalize on the prevailing market opportunities. The report also identifies top segments for opportunities and strategies based on market trends and leading competitors’ approaches.
Market Segmentation
Type: predictive analytics, prescriptive analytics, descriptive analytics, diagnostic analytics
Solution: data management, fraud and security intelligence, data mining, data visualization, data monitoring
Deployment mode: on-cloud, on-premises
Application: enterprise resource planning, supply chain management, human resource management, database management, others
End user: financial, IT and telecommunication, manufacturing, retail, energy and power, healthcare, transport , media, others
Function: sales analytics, marketing analytics, accounting and finance analytics, HR analytics, operational analytics, others
Country: Philippines, Singapore, Malaysia, Thailand, Vietnam, Indonesia, Rest of Southeast Asia
This industry report offers market estimates and forecasts of the Southeast Asia market, followed by a detailed analysis of the type, solution, deployment mode, application, end user, function, and country. The Southeast Asia market for data analytics can be segmented by type: predictive analytics, prescriptive analytics, descriptive analytics, diagnostic analytics. The predictive analytics segment is estimated to account for the largest share of the data analytics market in Southeast Asia. Data analytics market is further segmented by solution: data management, fraud and security intelligence, data mining, data visualization, data monitoring. The data management segment held the largest revenue share in 2022. Based on deployment mode, the data analytics market is segmented into: on-cloud, on-premises. In Southeast Asia, the on-cloud segment made up the largest share of the data analytics market. On the basis of application, the data analytics market also can be divided into: enterprise resource planning, supply chain management, human resource management, database management, others. The enterprise resource planning segment was the largest contributor to the Southeast Asia data analytics market in 2022. Data analytics market by end user is categorized into: financial, IT and telecommunication, manufacturing, retail, energy and power, healthcare, transport , media, others. The financial segment is estimated to account for the largest share of the data analytics market in Southeast Asia. The data analytics market by function can be segmented into: sales analytics, marketing analytics, accounting and finance analytics, HR analytics, operational analytics, others. The sales analytics segment held the largest revenue share in 2022. Based on country, the data analytics market is further categorized into: Philippines, Singapore, Malaysia, Thailand, Vietnam, Indonesia, Rest of Southeast Asia.
Major Companies and Competitive Landscape
The report has also analyzed the competitive landscape of the data analytics market in Southeast Asia with some of the key players being Alteryx, Inc., Amazon Web Services, Inc., Dell Inc., Hewlett Packard Enterprise Development LP, IBM Corporation, Microsoft Corporation, Mu Sigma Inc., Oracle Corporation, Salesforce.com, Inc., SAP SE, among others. In this report, key players and their strategies are thoroughly analyzed to understand the competitive outlook of the market.
Scope of the Report
To analyze and forecast the market size of the data analytics market in Southeast Asia.
To classify and forecast the data analytics market in Southeast Asia based on type, solution, deployment mode, application, end user, function, country.
To identify drivers and challenges for the data analytics market in Southeast Asia.
To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the data analytics market in Southeast Asia.
To identify and analyze the profile of leading players operating in the data analytics market in Southeast Asia.
Why Choose This Report
Gain a reliable outlook of the data analytics market in Southeast Asia forecasts from 2023 to 2029 across scenarios.
Identify growth segments for investment.
Stay ahead of competitors through company profiles and market data.
The market estimate for ease of analysis across scenarios in Excel format.
Strategy consulting and research support for three months.
Print authentication provided for the single-user license.
PART 1. INTRODUCTION
1.1 Description
1.2 Objectives of The Study
1.3 Market Segment
1.4 Years Considered for The Report
1.5 Currency
1.6 Key Target Audience
PART 2. RESEARCH METHODOLOGY
2.1 Primary Research
2.2 Secondary Research
PART 3. EXECUTIVE SUMMARY
PART 4. MARKET OVERVIEW
4.1 Introduction
4.2 Drivers
4.3 Restraints
PART 5. EUROPE CONSTRUCTION AGGREATE MARKET BY MATERIAL
5.1 Crushed stones
5.2 Gravel
5.3 Sand
5.4 M-sand
5.5 Others
PART 6. EUROPE CONSTRUCTION AGGREATE MARKET BY APPLICATION
6.1 Residential
6.2 Commercial
6.3 Industrial
6.4 Infrastructure
PART 7. EUROPE CONSTRUCTION AGGREATE MARKET BY COUNTRY
7.1 Germany
7.2 France
7.3 UK
7.4 Spain
7.5 Italy
7.6 Rest of Europe
PART 8. COMPANY PROFILES
8.1 CEMEX S.A.B. de C.V.
8.2 CRH plc
8.3 Eurocement AG
8.4 Goonvean Aggregates Ltd.
8.5 Heidelbergcement AG
8.6 Holcim Limited
8.7 Knauf Gips KG
8.8 Mulzer Crushed Stone, Inc.
8.9 PJSC LSR Group
8.10 Rogers Group Inc.
DISCLAIMER
1.1 Description
1.2 Objectives of The Study
1.3 Market Segment
1.4 Years Considered for The Report
1.5 Currency
1.6 Key Target Audience
PART 2. RESEARCH METHODOLOGY
2.1 Primary Research
2.2 Secondary Research
PART 3. EXECUTIVE SUMMARY
PART 4. MARKET OVERVIEW
4.1 Introduction
4.2 Drivers
4.3 Restraints
PART 5. EUROPE CONSTRUCTION AGGREATE MARKET BY MATERIAL
5.1 Crushed stones
5.2 Gravel
5.3 Sand
5.4 M-sand
5.5 Others
PART 6. EUROPE CONSTRUCTION AGGREATE MARKET BY APPLICATION
6.1 Residential
6.2 Commercial
6.3 Industrial
6.4 Infrastructure
PART 7. EUROPE CONSTRUCTION AGGREATE MARKET BY COUNTRY
7.1 Germany
7.2 France
7.3 UK
7.4 Spain
7.5 Italy
7.6 Rest of Europe
PART 8. COMPANY PROFILES
8.1 CEMEX S.A.B. de C.V.
8.2 CRH plc
8.3 Eurocement AG
8.4 Goonvean Aggregates Ltd.
8.5 Heidelbergcement AG
8.6 Holcim Limited
8.7 Knauf Gips KG
8.8 Mulzer Crushed Stone, Inc.
8.9 PJSC LSR Group
8.10 Rogers Group Inc.
DISCLAIMER
