Active Data Warehousing Market - Growth, Trends, and Forecasts (2020 - 2025)

Active Data Warehousing Market - Growth, Trends, and Forecasts (2020 - 2025)

The global active data warehousing market was valued at USD 6.3 billion in 2019 and is expected to reach a value of USD 11.95 billion by 2025, at a CAGR of 11.17% over the forecast period from 2020 to 2025. With rising concerns about data manageability and increasing complexity, data warehousing has attracted significant interest in reallife applications, especially in finance, business, healthcare, and other industries. The digital transformation of business processes led the IT industry to embrace new technologyenabled operations with data analytics capabilities. Therefore, new data warehouse platforms aid the development of enterprisescale, realtime analytics, and information insights that digital business processes demand.

The active data warehousing market is poised for a significant shift, owing to factors like the ongoing demand for nextgen business intelligence, coupled with the growing amount of data generated by organizations. ADW allows users to access an enormous range of complex information in realtime. The data is organized efficiently and relevantly, which is anticipated to aid market growth over the forecast period. The rising demand for low latency and highspeed analytics, combined with the growing role of business intelligence in enterprise management, is expected to significantly drive the market demand. The increasing number of smartphone users in the developing countries, such as India, Brazil, and China, along with social media traffic, is generating a growing stream of data that requires additional capabilities, including realtime data warehousing.
In Brazil, with nearly 90% of the population living in urban areas, SKY Brasil has approximately 29% market share for directtohome satellite services. The company opted for Oracle's Autonomous Data Warehouse running on Oracle Cloud Infrastructure, integrated into Oracle's Siebel CRM, to perform realtime, sophisticated marketing analytics. The deployer achieved 90% less time in deployment and commencing production compared to its previous onpremise solution while realizing 60% of infrastructure cost savings. Furthermore, ADW significantly diminishes the cost of computing, coupled with combining data in a single location, which is further projected to impact market growth positively.
Additionally, ADW substantially decreases the cost of computing, coupled with combining data in a single location, which is also expected to impact the market growth positively. Along with these factors, globally, the significant rise in the Big Data trend in organizations is leading to the increasing demand for analytics, which is also projected to aid market growth. Also, to be able to scale the computing capacity to match the demand and effortlessly scale back down when the usage peaks, vendors in the market have been following resource usagebased models for the pricing of cloud data warehousing. This addresses the issue about economies of scale that vendors may look for, as well as the flexibility that clients demand. However, fixed capacity data warehouses force organizations to buy more compute capacity than needed.
According to a survey of 300 analytics professionals located in the United States, conducted by Burtch Works and the International Institute for Analytics (IIA), almost 43% of respondents stated that analytics played a major role in their activities to make significant decisions in response to the COVID19 crisis. The pandemic outbreak has led companies to ramp down their operations, cut costs, and shut down their offices. Another challenge that businesses have been facing is the massive shift to the work from home model. Such trends are expected to act as catalysts for cloudbased data warehouse deployments. Adopting data warehousing at the time of the pandemic has offered a wide range of benefits, ranging from costeffectiveness and access to an extensive talent pool to increased scalability.

Key Market Trends

Hybrid Deployment is Expected to Witness Rapid Growth

Organizations that are unsure of choosing the best model fit for their enterprise needs; they mostly opt for a hybrid approach where they store their data in an onpremise data center and use the cloud for data processing and analytics. Alternatively, they can also save the data in a cloud data warehouse and perform analytics onpremise. Another compelling reason behind the rapid adoption of the hybrid model is that the investment an organization have made to set up onpremise hardware and software.
Software and hardware infrastructure is expensive, and organizations may be unwilling to abandon those capital expenditures it made on them to move to the cloud. Rather than migrating to the cloud infrastructure entirely, the best possible alternative will be to inherit the hybrid model and make the maximum use of both models. With the companies nowadays generating a considerable volume of data which needs to be processed on a realtime basis to make effective decisions to drive the process, companies across the globe are significantly adopting big data analytics which is one of the major factor driving the market.
The flexibility of deployments has emerged over the years, with data warehouses providers, such as Actian Corporation, making it available on onpremise and multiple cloud environments, including Azure and AWS. Recently, the company announced its Avalanche Realtime Connected Data Warehouse Solution to support the AWS and Azure cloud platform. Actian’s hybrid solution is developed as a cloud data warehouse natively built into the product to offer its enterprise clients to rapidly and inexpensively harness diverse data sources for use in highperformance analytics, both in the cloud and for onpremise solutions.
In June 2020, Hybrid cloud data warehouse company Yellowbrick Data announced it had achieved the next level of scale for its customers by offering multiple petabyte (PB) capacity on its new hybrid data warehouse 3chassis configuration. The most recent development in the evolution of the fastest, most performant hybrid cloud data warehouse in the industry, the 3chassis configuration demonstrates Yellowbrick deployed a strategy is to stay ahead of customer demands as businesses expand their infrastructure and workloads. This evolution offers increased singlewarehouse capacity with support for 3.6PB of user data in an 18U rack form factor.

North America is Expected to Hold the Largest market Share

The US organizations are significant adopters of analytics across several verticals, compared with the European or Asian organizations. The United States is considered the leading country in the market because of the significant demand and presence of vendors in the country. Also, according to Telecom Advisory Services, in 2019, the United States generated 41.52 million exabytes per month of internet traffic. According to Cisco, the cloud traffic in North America was estimated at 4,860 exabytes per year in 2019. Also, consumers in the country value vendors that provide realtime assistance with their issues; hence, a massive number of retail organizations are adopting active data warehousing concepts to enhance their loyalty management applications that play a crucial role in retaining consumers.
The growth of mobile broadband led to an increase in Big Data analytics and cloud computing in the country. The United States, with a considerable number of analytics adopters in 2019, encouraged multiple enterprises switching from onpremise to cloudbased deployment, which is estimated to be an addressable market for data warehouse installations. Furthermore, logistics activities are expected to increase with the rise in trade activities and the growing number of businesses in the country. However, the everincreasing public debt of the country is expected to drive the inflation rate up, thus curtailing small vendors' activities.
As per Microsoft, AIdriven virtual agents have contributed significantly toward emerging channels. Features, like natural language processing and machine learning, possess capabilities to deliver smart, conversational, and fast solutions, 24/7. This indicates the importance and spending that companies direct toward improving customer satisfaction. Further, as per survey data of Genesys, back in December 2019, nearly 52% of US respondents became frustrated when soliciting customer support. Therefore, the demand for such sophisticated platforms and analytics will continue to help register a steady growth rate of active data warehousing.
Another key driver in the market is the increasing need for solutions with BI capabilities. Various initiatives by the government and increased use of data analytics by physicians for improved primary care, such as detection and prevention of diseases, are driving the market. Thus, many healthcare organizations have started spending more on active data warehousing to increase cost savings. Over the forecast period, the increasing demand for realtime analytics and BI from insurance and other BFSI companies is expected to bolster the demand for ADW in the United States.

Competitive Landscape

The active data warehousing market is highly fragmented, with several domestic and international players, including Microsoft Corporation, Oracle Corporation, SAP SE, etc. in a fairlycontested market space. Technological advancements in the market are also bringing considerable competitive advantage to the companies, and the market is also witnessing multiple partnerships.

June 2020 Oracle Application Express (APEX) was made available on Oracle Autonomous Database Cloud. The massive benefits of a fullymanaged and autonomous database cloud service, coupled with an industryleading low code platform to fatly develop and deploy applications, offers customers efficient capabilities. Autonomous Database is available exclusively through Oracle and is provided in two versions optimized to meet the specialized requirements for Online Transaction Processing and Data Warehousing.
May 2020 Informatica, an enterprise cloud data management provider, is creating an integration with SAP to streamline businesses to the cloud by adopting SAP’s data and analytics cloud portfolio and Informatica Intelligent Cloud Services. The new combination will feature the adoption of SAP Data Warehouse Cloud, which will support integration with existing data warehouses and a broad set of applications and databases onpremises and in the cloud.

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1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Industry Attractiveness Porter's Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Buyers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Industry Value Chain Analysis
4.4 Impact of COVID-19 on the Industry
5 MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Increase in the Adoption of Business Intelligence and Big Data Analytics Solutions in Various Industries
5.2 Market Challenges
5.2.1 High Consumption of Resources and Time Required for Implementation
6 MARKET SEGMENTATION
6.1 By Type of Deployment
6.1.1 On-premise
6.1.2 Cloud
6.1.3 Hybrid
6.2 Geography
6.2.1 North America
6.2.1.1 United States
6.2.1.2 Canada
6.2.2 Europe
6.2.2.1 United Kingdom
6.2.2.2 Germany
6.2.2.3 France
6.2.2.4 Spain
6.2.2.5 Rest of Europe
6.2.3 Asia-Pacific
6.2.3.1 China
6.2.3.2 Japan
6.2.3.3 Rest of Asia-Pacific
6.2.4 Rest of the World
7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Tresure Data Inc.
7.1.2 Cloudera Inc.
7.1.3 Snowflake Computing Inc.
7.1.4 Oracle Corporation
7.1.5 Hewlett Packard Enterprise Co
7.1.6 Microsoft Corporation
7.1.7 SAP SE
7.1.8 Amazon Web Services Inc
7.1.9 VMware Inc. (Pivotal Software Inc.)
7.1.10 Huawei Technologies Co. Ltd
7.1.11 Teradata Corporation
7.1.12 Kognitio Ltd
7.1.13 IBM Corporation
8 INVESTMENT ANALYSIS
9 FUTURE OF THE MARKET

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