Analytics as a service (AaaS) has been developed from the integration of cloud computing and analytics solutions. It ingests data and information from different sources and integrates it into a fully-managed data center. Analytics as a service provides services based on the subscription model. It includes cloud-based business intelligence solutions and software as a service-based (SaaS) social media analytics-as-a-service solution. Cloud-based business intelligence solutions efficiently provide business analytics solutions to consumers at a lower cost. On the other hand, SaaS-based social media analytics-as-a-service solution involves remote positioning of a variety of tools that help in analyzing visitors’ behavior and trends; collecting the data; and finding advanced techniques to serve clients in a better manner.
Analytics as a service helps in implementing and managing analytics infrastructure on-premises. It is also employed to cut preventable losses; enhance operational efficiency; and create new opportunities for customers. Furthermore, analytics as a service aids individuals by providing them with personalized access to centrally managed information data groups. This, in turn, eliminates several delays faced by business analysts, data scientists, and other information users. It allows them to discover information data sets more interactively and explore richer insights more quickly.
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Based on analytics type, the global analytics-as-a-service market has been segmented into prescriptive analytics, predictive analytics, diagnostic analytics, and descriptive analytics. In terms of enterprise size, the market has been categorized into small- and medium-sized enterprises (SMEs) and large enterprises. Based on deployment type, the global analytics-as-a-service market has been classified into private cloud, public cloud, and hybrid. Furthermore, in terms of end-use industries, the analytics-as-a-service market has been segregated into transportation & logistics, BFSI, IT & telecom, health care, government, retail, manufacturing, energy & utilities, travel & hospitality, and others.
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Geographically, the global analytics-as-a-service market can be segmented into Europe, North America, South America, Middle East & Africa, and Asia Pacific. The analytics-as-a-service market in North America is expected to expand at a high growth rate during the forecast period. This primarily due to presence of a large number of technical experts and large enterprises and rise in the demand for analytics-as-a-service solutions and services across the region. However, Asia Pacific is projected to provide lucrative growth opportunities to the analytics-as-a-service market in the near future. Surge in the volume of data through different channels such as mobile computing, social media, and Internet of Things (IoT) is the primary driving factor for the market in Asia Pacific.
The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain.
A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.
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The study is a source of reliable data on:
- Market segments and sub-segments
- Market trends and dynamics
- Supply and demand
- Market size
- Current trends/opportunities/challenges
- Competitive landscape
- Technological breakthroughs
- Value chain and stakeholder analysis
