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Data Warehousing Market: Global Opportunity Analysis and Industry Forecast, 2018 - 2025

  • ID: 4828963
  • Report
  • Region: Global
  • 270 pages
  • Allied Analytics LLP
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Data warehousing is a collection of methods, techniques, and tools used to support knowledge staff such as senior managers, directors, managers, and analysts to conduct data analyses that help perform decision-making processes and improve information resources. Data warehousing contains additional tools compared to a relational database. Data warehousing facilitates users to access a vast amount of information. The data is organized in an effective and relevant manner, which is projected to boost the market growth. The growth in adoption of data warehousing helps organizations to optimize decisions and actions for planning regarding business development strategies. Data warehousing enables quick access to relevant data for making informed business decisions.

Increase in need for dedicated storage system for surge in volume of data, rise in demand for column-oriented data warehouse solutions to perform advanced analytics, the need for low-latency, real-time view, and analytics on operational data are some of the major factors that drive the global data warehousing market growth. In addition, increase in awareness of enterprises to utilize growth in streams of data from various sources in innovative ways and adoption of modern business intelligence tools by enterprises for which data warehousing is critical, are expected to fuel the growth of the market. Conversely, emerging trend of adopting virtual data warehousing and growing application of AI in data warehouse are expected to provide lucrative opportunities for the growth of the global market.

The global data warehousing market is segmented based on type of offerings, type of data, deployment, organization size, industry verticals, and region. In terms of type of offerings, the market is bifurcated into extraction, transportation and loading (ETL) solutions, statistical analysis, data mining, and others. By type of data, the market is classified into unstructured data and semi structured & structured data. Based on deployment, it is fragmented into on-premise, cloud, and hybrid. Depending on organization size, it is segregated into small and medium-sized enterprises (SMEs) and large enterprises. By industry vertical segment, it is divided into BFSI, telecom & IT, government, manufacturing, retail, healthcare, media & entertainment, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The global data warehousing market is dominated by key players such as, Actian Corp, Amazon, Cloudera, Google, IBM Corporation, Microsoft, Oracle Corporation, SAP, Snowflake, and Teradata.

KEY BENEFITS FOR STAKEHOLDERS
  • The study presents an in-depth analysis of the market along with the current & future trends to elucidate imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on the market is provided in this study.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
  • The quantitative analysis of the market from 2017 to 2025 is provided to determine the market potential.
KEY MARKET SEGMENTS

BY TYPE OF OFFERING
  • Extraction, Transportation and Loading (ETL) Solutions
  • Statistical Analysis
  • Data Mining
  • Others
BY TYPE OF DATA
  • Unstructured Data
  • Semi-structured & Structured Data
BY DEPLOYMENT
  • On-Premise
  • Cloud
  • Hybrid
BY ORGANIZATION SIZE
  • Small & Medium Sized Enterprises (SMEs)
  • Large Enterprises
BY INDUSTRY VERTICAL
  • BFSI
  • Telecom & IT
  • Government
  • Manufacturing
  • Retail
  • Healthcare
  • Media & Entertainment
  • Others
BY REGION
  • North America
o U.S.
o Canada
  • Europe
o UK
o Germany
o France
o Rest of Europe
  • Asia-Pacific
o China
o India
o Japan
o Rest of Asia-Pacific
  • LAMEA
o Latin America
o Middle East
o Africa

KEY MARKET PLAYERS
  • Actian Corp
  • Amazon
  • Cloudera
  • Google
  • IBM Corporation
  • Microsoft
  • Oracle Corporation
  • SAP
  • Snowflake
  • Teradata
Note: Product cover images may vary from those shown
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Chapter 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS FOR STAKEHOLDERS
1.3. RESEARCH METHODOLOGY
1.3.1. Secondary research
1.3.2. Primary research
1.3.3. Analyst tools & models

Chapter 2: EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE

Chapter 3: MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies
3.3. PORTER'S FIVE FORCES ANALYSIS
3.4. KEY PLAYER POSITIONING, 2017
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Need for dedicated storage system for growing volume of data
3.5.1.2. Rise in demand for column-oriented data warehouse solutions to perform advanced analytics
3.5.1.3. The need for low-latency, real-time view and analytics on operational data
3.5.2. Restraints
3.5.2.1. Complexity
3.5.2.2. High implementation cost
3.5.3. Opportunities
3.5.3.1. Emerging trend of adopting virtual data warehousing
3.5.3.2. Growing Application of AI in Data Warehouse

Chapter 4: DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS
4.1. OVERVIEW
4.2. EXTRACTION, TRANSPORTATION AND LOADING (ETL) SOLUTIONS
4.2.1. Key market trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast, by region
4.2.4. Market analysis, by country
4.3. STATISTICAL ANALYSIS
4.3.1. Key market trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast, by region
4.3.4. Market analysis, by country
4.4. DATA MINING
4.4.1. Key market trends
4.4.2. Key growth factors and opportunities
4.4.3. Market size and forecast, by region
4.4.4. Market analysis, by country
4.5. OTHERS
4.5.1. Key market trends
4.5.2. Key growth factors and opportunities
4.5.3. Market size and forecast, by region
4.5.4. Market analysis, by country

Chapter 5: DATA WAREHOUSING MARKET, BY DEPLOYMENT
5.1. OVERVIEW
5.2. ON-PREMISE
5.2.1. Key market trends
5.2.2. Key growth factors and opportunities
5.2.3. Market size and forecast, by region
5.2.4. Market analysis, by country
5.3. CLOUD
5.3.1. Key market trends
5.3.2. Key growth factors and opportunities
5.3.3. Market size and forecast, by region
5.4. HYBRID
5.4.1. Key market trends
5.4.2. Key growth factors and opportunities
5.4.3. Market size and forecast, by region
5.4.4. Market analysis, by country

Chapter 6: DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE
6.1. OVERVIEW
6.2. SMALL AND MEDIUM SIZED ENTERPRISES (SMES)
6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3. Market size and forecast, by region
6.2.4. Market analysis, by country
6.3. LARGE ENTERPRISES
6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3. Market size and forecast, by region
6.3.4. Market analysis, by country

Chapter 7: DATA WAREHOUSING MARKET, BY TYPE OF DATA
7.1. OVERVIEW
7.2. STRUCTURED DATA
7.2.1. Key market trends
7.2.2. Key growth factors and opportunities
7.2.3. Market size and forecast, by region
7.2.4. Market analysis, by country
7.3. UNSTRUCTURED DATA
7.3.1. Key market trends
7.3.2. Key growth factors and opportunities
7.3.3. Market size and forecast, by region
7.3.4. Market analysis, by country

Chapter 8: DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS
8.1. OVERVIEW
8.2. BFSI
8.2.1. Key market trends
8.2.2. Key growth factors and opportunities
8.2.3. Market size and forecast, by region
8.2.4. Market analysis, by country
8.3. TELECOM AND IT
8.3.1. Key market trends
8.3.2. Key growth factors and opportunities
8.3.3. Market size and forecast, by region
8.3.4. Market analysis, by country
8.4. GOVERNMENT
8.4.1. Key market trends
8.4.2. Key growth factors and opportunities
8.4.3. Market size and forecast, by region
8.4.4. Market analysis, by country
8.5. MANUFACTURING
8.5.1. Key market trends
8.5.2. Key growth factors and opportunities
8.5.3. Market size and forecast, by region
8.5.4. Market analysis, by country
8.6. RETAIL
8.6.1. Key market trends
8.6.2. Key growth factors and opportunities
8.6.3. Market size and forecast, by region
8.6.4. Market analysis, by country
8.7. HEALTHCARE
8.7.1. Key market trends
8.7.2. Key growth factors and opportunities
8.7.3. Market size and forecast, by region
8.7.4. Market analysis, by country
8.8. MEDIA & ENTERTAINMENT
8.8.1. Key market trends
8.8.2. Key growth factors and opportunities
8.8.3. Market size and forecast, by region
8.8.4. Market analysis, by country
8.9. OTHERS
8.9.1. Key market trends
8.9.2. Key growth factors and opportunities
8.9.3. Market size and forecast, by region
8.9.4. Market analysis, by country

Chapter 9: DATA WAREHOUSING MARKET, BY REGION
9.1. OVERVIEW
9.2. NORTH AMERICA
9.2.1. Key market trends
9.2.2. Key growth factors and opportunities
9.2.3. Market size and forecast
9.2.3.1. Market size and forecast, by type of offerings
9.2.3.2. Market size and forecast, by type of data
9.2.3.3. Market size and forecast, by deployment
9.2.3.4. Market size and forecast, by organization size
9.2.3.5. Market size and forecast, by industry verticals
9.2.3.6. Market size and forecast, by country
9.2.3.7. U.S.
9.2.3.7.1. Market size and forecast, by type of offerings
9.2.3.7.2. Market size and forecast, by type of data
9.2.3.7.3. Market size and forecast, by deployment
9.2.3.7.4. Market size and forecast, by organization size
9.2.3.7.5. Market size and forecast, by industry verticals
9.2.3.8. Canada
9.2.3.8.1. Market size and forecast, by type of offerings
9.2.3.8.2. Market size and forecast, by type of data
9.2.3.8.3. Market size and forecast, by deployment
9.2.3.8.4. Market size and forecast, by organization size
9.2.3.8.5. Market size and forecast, by industry verticals
9.3. EUROPE
9.3.1. Key market trends
9.3.2. Key growth factors and opportunities
9.3.3. Market size and forecast
9.3.3.1. Market size and forecast, by type of offerings
9.3.3.2. Market size and forecast, by type of data
9.3.3.3. Market size and forecast, by deployment
9.3.3.4. Market size and forecast, by organization size
9.3.3.5. Market size and forecast, by industry verticals
9.3.3.6. Market size and forecast, by country
9.3.3.7. UK
9.3.3.7.1. Market size and forecast, by type of offerings
9.3.3.7.2. Market size and forecast, by type of data
9.3.3.7.3. Market size and forecast, by deployment
9.3.3.7.4. Market size and forecast, by organization size
9.3.3.7.5. Market size and forecast, by industry verticals
9.3.3.8. Germany
9.3.3.8.1. Market size and forecast, by type of offerings
9.3.3.8.2. Market size and forecast, by type of data
9.3.3.8.3. Market size and forecast, by deployment
9.3.3.8.4. Market size and forecast, by organization size
9.3.3.8.5. Market size and forecast, by industry verticals
9.3.3.9. France
9.3.3.9.1. Market size and forecast, by type of offerings
9.3.3.9.2. Market size and forecast, by type of data
9.3.3.9.3. Market size and forecast, by deployment
9.3.3.9.4. Market size and forecast, by organization size
9.3.3.9.5. Market size and forecast, by industry verticals
9.3.3.10. Rest of Europe
9.3.3.10.1. Market size and forecast, by type of offerings
9.3.3.10.2. Market size and forecast, by type of data
9.3.3.10.3. Market size and forecast, by deployment
9.3.3.10.4. Market size and forecast, by organization size
9.3.3.10.5. Market size and forecast, by industry verticals
9.4. ASIA-PACIFIC
9.4.1. Key market trends
9.4.2. Key growth factors and opportunities
9.4.3. Market size and forecast
9.4.3.1. Market size and forecast, by type of offerings
9.4.3.2. Market size and forecast, by type of data
9.4.3.3. Market size and forecast, by deployment
9.4.3.4. Market size and forecast, by organization size
9.4.3.5. Market size and forecast, by industry verticals
9.4.3.6. Market size and forecast, by country
9.4.3.7. China
9.4.3.7.1. Market size and forecast, by type of offerings
9.4.3.7.2. Market size and forecast, by type of data
9.4.3.7.3. Market size and forecast, by deployment
9.4.3.7.4. Market size and forecast, by organization size
9.4.3.7.5. Market size and forecast, by industry verticals
9.4.3.8. India
9.4.3.8.1. Market size and forecast, by type of offerings
9.4.3.8.2. Market size and forecast, by type of data
9.4.3.8.3. Market size and forecast, by deployment
9.4.3.8.4. Market size and forecast, by organization size
9.4.3.8.5. Market size and forecast, by industry verticals
9.4.3.9. Japan
9.4.3.9.1. Market size and forecast, by type of offerings
9.4.3.9.2. Market size and forecast, by type of data
9.4.3.9.3. Market size and forecast, by deployment
9.4.3.9.4. Market size and forecast, by organization size
9.4.3.9.5. Market size and forecast, by industry verticals
9.4.3.10. Rest of Asia-Pacific
9.4.3.10.1. Market size and forecast, by type of offerings
9.4.3.10.2. Market size and forecast, by type of data
9.4.3.10.3. Market size and forecast, by deployment
9.4.3.10.4. Market size and forecast, by organization size
9.4.3.10.5. Market size and forecast, by industry verticals
9.5. LAMEA
9.5.1. Key market trends
9.5.2. Key growth factors and opportunities
9.5.3. Market size and forecast
9.5.3.1. Market size and forecast, by type of offerings
9.5.3.2. Market size and forecast, by type of data
9.5.3.3. Market size and forecast, by deployment
9.5.3.4. Market size and forecast, by organization size
9.5.3.5. Market size and forecast, by industry verticals
9.5.3.6. Market size and forecast, by country
9.5.3.7. Latin America
9.5.3.7.1. Market size and forecast, by type of offerings
9.5.3.7.2. Market size and forecast, by type of data
9.5.3.7.3. Market size and forecast, by deployment
9.5.3.7.4. Market size and forecast, by organization size
9.5.3.7.5. Market size and forecast, by industry verticals
9.5.3.8. Middle East
9.5.3.8.1. Market size and forecast, by type of offerings
9.5.3.8.2. Market size and forecast, by type of data
9.5.3.8.3. Market size and forecast, by deployment
9.5.3.8.4. Market size and forecast, by organization size
9.5.3.8.5. Market size and forecast, by industry verticals
9.5.3.9. Africa
9.5.3.9.1. Market size and forecast, by type of offerings
9.5.3.9.2. Market size and forecast, by type of data
9.5.3.9.3. Market size and forecast, by deployment
9.5.3.9.4. Market size and forecast, by organization size
9.5.3.9.5. Market size and forecast, by industry verticals

Chapter 10: COMPANY PROFILE
10.1. AMAZON.COM, INC.
10.1.1. Company overview
10.1.2. Company snapshot
10.1.3. Operating business segments
10.1.4. Product portfolio
10.1.5. Business performance
10.2. ACTIAN CORPORATION
10.2.1. Company overview
10.2.2. Company snapshot
10.2.3. Product portfolio
10.2.4. Key strategic moves and developments
10.3. CLOUDERA, INC.
10.3.1. Company overview
10.3.2. Company snapshot
10.3.3. Operating business segments
10.3.4. Product portfolio
10.3.5. Business performance
10.3.6. Key strategic moves and developments
10.4. GOOGLE INC. (ALPHABET INC.)
10.4.1. Company overview
10.4.2. Company snapshot
10.4.3. Operating business segments
10.4.4. Product portfolio
10.4.5. Business performance
10.4.6. Key strategic moves and developments
10.5. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
10.5.1. Company overview
10.5.2. Company snapshot
10.5.3. Operating business segments
10.5.4. Product portfolio
10.5.5. Business performance
10.6. MICROSOFT CORPORATION
10.6.1. Company overview
10.6.2. Company snapshot
10.6.3. Operating business segments
10.6.4. Product portfolio
10.6.5. Business performance
10.6.6. Key strategic moves and developments
10.7. ORACLE CORPORATION
10.7.1. Company overview
10.7.2. Company snapshot
10.7.3. Operating business segments
10.7.4. Product portfolio
10.7.5. Business performance
10.7.6. Key strategic moves and developments
10.8. SAP SE
10.8.1. Company overview
10.8.2. Company snapshot
10.8.3. Operating business segments
10.8.4. Product portfolio
10.8.5. Business performance
10.8.6. Key strategic moves and developments
10.9. SNOWFLAKE COMPUTING INC.
10.9.1. Company overview
10.9.2. Company snapshot
10.9.3. Product portfolio
10.9.4. Key strategic moves and developments
10.10. TERADATA
10.10.1. Company overview
10.10.2. Company snapshot
10.10.3. Operating business segments
10.10.4. Product portfolio
10.10.5. Business performance
10.10.6. Key strategic moves and developments

*Full List of Tables and Figures Available on Enquiry.

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According to this report titled, 'Data Warehousing Market by Component, Deployment, Organization Size, Analytics Type, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2018 - 2025,' the global data warehousing market size was valued at $18.61 billion in 2017, and is projected to reach $34.69 billion by 2025, growing at a CAGR of 8.2% from 2018 to 2025.

Increase in need for a dedicated storage system for growing volume of data, rise in demand for column-oriented data warehouse solutions to perform advanced analytics, and need for low-latency, real-time view, and analytics on operational data are some of the key factors that are expected to fuel the growth of the global market. However, complexity of data warehousing solutions are expected to hamper data warehousing market size.

The unstructured data type segment dominated data warehousing market share in 2017, and is projected to maintain its dominance during the forecast period owing to large amount of unstructured data generated and stored in the organizations. However, while doing data warehousing market analysis, it is anticipated that the semi-structured & structured data type segment will witness the highest growth rate during the forecast period.

The hybrid deployment segment is expected to grow at the highest CAGR during the forecast period due to greater prospect to facilitate real business value to the organization through reduced cost. In addition, faster data processing, internal data delivery & handling, efficient resource utilization, and cost-effectiveness of hybrid deployment are some of the advantages offered by this deployment mode, which in turn are anticipated to boost the data warehousing market growth.

The data warehousing market is witnessing the trend of adoption of virtual data warehousing constructed on demand of operational database. Further, the demand for columnar storage is increasing in place of traditional row-oriented data warehousing. In analytics engine is also witnessing an increase in adoption in a data warehousing environment. The emerging trend of data lake remix is anticipated to impact the growth of the market during the forecast period. Further, the improved modern metadata management is also expected to impact market growth positively. Growth in the application of artificial intelligence in data warehousing industry and Hadoop modernization are expected to create lucrative opportunities for this market in the upcoming years. In addition, the progression of programming techniques such as MapReduce and Hadoop together with developments in the storages, memory, and core technology is anticipated to provide several opportunities for data warehousing market in the future.

Key Findings of Data Warehousing Market Study:

By type of offering, the extraction, transportation and loading (ETL) solutions segment led the market in terms of revenue in 2017.
In 2017, the on-premise segment accounted for the highest revenue in the deployment category.
By organization size, SMEs segment is projected to witness highest growth rate during the forecast period.
Based on type of data, the unstructured data segment accounted for the highest revenue in 2017.
Based on industry verticals, the BFSI segment generated the highest revenue in 2017.
Based on region, NorthAmerica led the market in terms of revenue in 2017.

Some of the key players operating in the data warehousing market include Actian Corp, Amazon, Cloudera, Google, IBM Corporation, Microsoft, Oracle Corporation, SAP, Snowflake, and Teradata.
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The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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