Analytics as a service (AaaS) is a part of wide range of services that include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). All these models have one common factor that replaces conventional on-premise systems with web-based systems. Businesses can use services offered by providers to access a remote analytics platform for a regular fee instead of developing a large internal warehouse full of software. AaaS provides a set-up that allows clients to use a specific analytics software as per requirement and it can be less labor intensive and more cost effective as compared to the traditional services.
Rise in acceptance of social media applications and continuous increase in demand for progressive technologies to process increased workload through cloud fuel the growth of the analytics-as-a-service market. In addition, increase in adoption of data analytics is also one of the major factors that drives the growth of the market. However, rise in data and security concerns along with complex analytical workflow are expected to hamper the growth of the market. Moreover, lower cost of ownership is expected to provide opportunities for the growth of the market in the upcoming years. Furthermore, increase in data volume across various industry verticals and rise in practice of machine-generated data are expected to provide major opportunities for the growth of the analytics-as-a-service market in the next few years.
The global Analytics as a Service (AaaS) market is segmented on the basis of component, analytics type, deployment type, industry vertical, and region. Based on component, the market is bifurcated into solutions and services. Based on analytics type, the market is divided into predictive analytics, prescriptive analytics, diagnostic analytics, descriptive analytics. Based on deployment type, the market is classified into private cloud, public cloud, hybrid cloud. Depending on industry vertical, the market is segmented into BFSI, retail, government, IT & telecommunication, transportation & logistics, manufacturing, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report includes profiles of the key players operating in the market analysis. These include Amazon Web Services (AWS), GoodData Corporation, Google, Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP, SAS Institute Inc., and TIBCO Software Inc.
KEY BENEFITS
KEY MARKET SEGMENTS
By Component
By Analytics Type
By Deployment Type
By Industry Vertical
By Region
KEY MARKET PLAYERS PROFILED IN THE REPORT
Rise in acceptance of social media applications and continuous increase in demand for progressive technologies to process increased workload through cloud fuel the growth of the analytics-as-a-service market. In addition, increase in adoption of data analytics is also one of the major factors that drives the growth of the market. However, rise in data and security concerns along with complex analytical workflow are expected to hamper the growth of the market. Moreover, lower cost of ownership is expected to provide opportunities for the growth of the market in the upcoming years. Furthermore, increase in data volume across various industry verticals and rise in practice of machine-generated data are expected to provide major opportunities for the growth of the analytics-as-a-service market in the next few years.
The global Analytics as a Service (AaaS) market is segmented on the basis of component, analytics type, deployment type, industry vertical, and region. Based on component, the market is bifurcated into solutions and services. Based on analytics type, the market is divided into predictive analytics, prescriptive analytics, diagnostic analytics, descriptive analytics. Based on deployment type, the market is classified into private cloud, public cloud, hybrid cloud. Depending on industry vertical, the market is segmented into BFSI, retail, government, IT & telecommunication, transportation & logistics, manufacturing, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report includes profiles of the key players operating in the market analysis. These include Amazon Web Services (AWS), GoodData Corporation, Google, Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP, SAS Institute Inc., and TIBCO Software Inc.
KEY BENEFITS
- The report provides an in-depth analysis of the global Analytics as a Service (AaaS) market trends, key driving factors, and potential areas for product investments.
- Key players are analyzed with respect to their primary offerings, recent investments, and future development strategies.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of the global Analytics as a Service (AaaS) Market share from 2018 to 2026 is provided to determine the market potential.
KEY MARKET SEGMENTS
By Component
- Solutions
- Services
By Analytics Type
- Predictive Analytics
- Prescriptive Analytics
- Diagnostic Analytics
- Descriptive Analytics
By Deployment Type
- Private Cloud
- Public Cloud
- Hybrid Cloud
By Industry Vertical
- BFSI
- Retail
- Government & Public Sector
- IT and Telecommunication
- Transportation & Logistics
- Manufacturing
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY MARKET PLAYERS PROFILED IN THE REPORT
- Amazon Web Services, Inc.
- GoodData Corporation
- Google LLC
- Hewlett Packard Enterprise Development LP
- International Business Machines Corporation
- Microsoft
- Oracle
- SAP
- SAS Institute
- TIBCO Software Inc.
Table of Contents
Chapter 1: Introduction
Chapter 2: Executive Summary
Chapter 3: Market Overview
Chapter 4: Global Analytics As A Service (Aaas) Market, By Component
Chapter 5: Global Analytics As A Service (Aaas) Market, By Analytics Type
Chapter 6: Global Analytics As A Service (Aaas) Market, By Deployment Type
Chapter 7: Global Analytics As A Service (Aaas) Market, By Industry Vertical
Chapter 8: Global Analytics As A Service (Aaas) Market, By Region
Chapter 9: Competitive Landscape
Chapter 10: Company Profiles
Executive Summary
According to the report titled 'Analytics as a Service (AaaS) Market by Component, Analytics Type, Deployment Type, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2019-2026', the global analytics as a service market size was valued at $9.62 billion in 2018, and is projected to reach $126.48 billion by 2026, registering a CAGR of 38.1% from 2019 to 2026.Analytics is a method of discovering expressive as well as meaningful patterns by analyzing the datasets or resources that further comprise breaking of complex data into smaller parts. Analytics that initially started as Business Intelligence (BI) two decades ago have now converted the firms into data-oriented companies. Analytics as a Service (AaaS) provided by cloud service providers assists users with their on demand analytical needs, in which the user pays for the use of analytical solutions as a service. Moreover, the development of technological tools has empowered solutions to be delivered as a service. Thus, Platform as a Service (PaaS), Software as a Service (SaaS), and Data as a Service (DaaS) are providing major growth opportunities to analytics service providers.
In terms of industry vertical, the BFSI segment is expected to contribute the highest analytics as a service market share in the coming years. The growth of this segment is mainly attributed to an increase in need to utilize the capabilities of analytics as a service to better understand their customers and their needs to update their services. However, the others segment is expected to exhibit highest growth throughout the forecast period.
According to analytics as a service market analysis, the public cloud segment dominated the market in 2018 and is expected to generate highest revenue during the forecast period. The growth of this segment is mainly attributed to the emerging technologies such as, IoT and machine learning. Moreover, access to real-time data is also fueling its demand across numerous industry verticals.
The solution segment dominated the analytics as a service market share in 2018 and it is expected to remain dominant throughout the forecast period. The growth of this segment is mainly attributed to its ability to enable organizations to gain insights for customers & operations and acquire optimal results.
The predictive analytics segment dominated the global analytics as a service market in 2018 and is expected to generate highest revenue during the forecast period. The growth of this segment is mainly attributed to an increase in need to discover predictive or explanatory patterns in data among large number of organizations. In addition, rise in integrated and connected technologies are also providing a major platform for predictive analytics software & solutions.
Asia-Pacific is expected to witness a higher growth rate in the analytics as a service market during the forecast period. The growth of this segment is mainly attributed to rising demand among organizations to offer enhanced customer services for users. In addition, growing number of data analytics startups is also fueling the analytics as a service market demand in this region.
Key Findings of the Analytics as a Service (AaaS) Market:
Based on deployment type, the public cloud segment dominated the market in 2018 and is expected to generate highest revenue during the analytics as a service market forecast period. However, hybrid cloud segment is expected to exhibit significant growth during the forecast period.
On the basis of component, the solution segment dominated the Analytics-as-a-Service (AaaS) market in 2018. On the contrary, the service segment is expected to exhibit highest growth throughout the forecast period.
In terms of analytics type, the predictive analytics segment dominated the global analytics as a service market 2018 and is expected to generate highest revenue during the forecast period. However, the predictive analytics segment is also expected to witness significant growth in the upcoming years.
Some of the key enterprise analytics as a service industry players profiled in the report include Amazon Web Services (AWS), Accenture, Atos SE, Google, Inc., Hewlett Packard Enterprise Development LP, Hitachi Solutions, Ltd., International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute Inc.
Companies Mentioned
- Amazon Web Services (AWS)
- Accenture
- Atos SE
- Google Inc.
- Hewlett Packard Enterprise Development LP
- Hitachi Solutions Ltd.
- International Business Machines Corporation
- Microsoft Corporation
- Oracle Corporation
- SAS Institute Inc.
Methodology
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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