Big Data has become one of the popular technologies being leveraged by businesses today. However, factors such as scalability, complexity, cost, and reliability pose challenges on the feasibility of harnessing the true potentials of Big Data. An autonomous data platform manages and optimizes the big data infrastructure. An autonomous data platform studies the big data infrastructure of a particular customer to solve critical business challenges and ensures optimum utilization of the database.
The rising popularity of Big Data in the business sector coupled with higher complexities of the unstructured data is anticipated to be the primary driver for the autonomous data platform market. Lack of technological awareness about the functioning of autonomous data platform would challenge the smooth growth of the autonomous data platform market. Increasing interests towards cloud-based data platforms by the SMEs would provide good opportunities to the players operating in the autonomous data platform market.
The "Global Autonomous Data Platform Market Analysis to 2028" is a specialized and in-depth study of the technology, media and telecommunication industry with a special focus on the global market trend analysis. The report aims to provide an overview of the autonomous data platform market with detailed market segmentation by component, deployment model, enterprise size, end-user industry, and geography. The global autonomous data platform market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading autonomous data platform market players and offers key trends and opportunities in the market.
The global autonomous data platform market is segmented on the basis of component, deployment model, enterprise size, and end-user industry. Based on component, the autonomous data platform market is segmented into platform and services. On the basis of deployment model, the autonomous data platform market is segmented into cloud and on-premise. Further, the autonomous data platform market is segmented on the basis of enterprise size into small and medium enterprises (SMEs) and large enterprises. The autonomous data platform market on the basis of the end-user industry is classified into BFSI, healthcare, consumer goods and retail, manufacturing, IT and Telecommunication, Government, and others.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global autonomous data platform market based on various segments. It also provides market size and forecast estimates from the year 2020 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The autonomous data platform market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the autonomous data platform market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive Porter's Five Forces analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the autonomous data platform in these regions.
The reports cover key developments in the autonomous data platform market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved the way for the expansion of business and customer base of market players. The market payers from autonomous data platform market are anticipated to lucrative growth opportunities in the future with the rising demand for autonomous data platform in the global market. Below mentioned is the list of few companies engaged in the autonomous data platform market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the autonomous data platform market. In addition, the report focuses on leading industry players with information such as company profiles, products and services offered, financial information of the last 3 years, the key development in the past five years.
- Alteryx, Inc.
- Amazon Web Services
- Cloudera, Inc.
- Denodo Technologies
- DvSum Inc
- Gemini Data Inc.
- IBM Corporation
- Qubole, Inc.
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
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North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
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2.Amazon Web Services
6.Gemini Data Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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