Autonomous Data Platform Market
Autonomous Data Platform Market Forecasts to 2028 - Global Analysis By Component (Services and Platform), Deployment (Cloud and On-premises), Enterprise (Small and Medium Enterprise (SME) and Large Enterprise), End User and Geography
|
Years Covered |
2020-2028 |
|
Estimated Year Value (2022) |
US $969.63 MN |
|
Projected Year Value (2028) |
US $3663.51 MN |
|
CAGR (2022 - 2028) |
24.8% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Asia Pacific |
According to Stratistics MRC, the Global Autonomous Data Platform Market is accounted for $969.63 million in 2022 and is expected to reach $3663.51 million by 2028 growing at a CAGR of 24.8% during the forecast period. The autonomous data tool examines a specific customer's big data infrastructure in order to address critical business issues and assure optimal database utilisation. It is a data and analytics platform that manages and optimises itself by leveraging multiple cognitive computing platforms such as AI and Machine Learning (ML). It provides insights, actionable alerts, and recommendations to users by combining heuristics with machine learning, resulting in high performance, workload continuity, and cost savings. It improves operating efficiency and simplifies the procedure.
According to the most contemporary Shopping Index of Salesforce, digital commerce grew at a rate of 13% year-over-year in Q4 2018, and projected retail e-commerce sales exceeding USD 4 trillion through 2020.
Market Dynamics:
Driver:
New-age enterprises are witnessing higher adoption of private and hybrid cloud
Because of the developing trends of cloud application in new-age businesses organisations, and storage of enterprise data primarily in hybrid and public clouds, the applications of autonomous data platforms are continually increasing in cloud-based businesses. Furthermore, autonomous data platforms offer numerous means for examining, sharing, and integrating essential data more securely and quickly than traditional enterprise data warehouse systems.
Restraint:
High cost of autonomous data platforms
Companies' expectations are rising as a result of technological advancements. As a result, these businesses frequently update their cloud-based and customer-centric solutions to meet the requirements of gathering, analyzing, and sorting their customers' data. Furthermore, firms must make significant investments to adopt cloud-based and autonomous data platforms, which may limit demand for these platforms during the forecasted period.
Opportunity:
Growing awareness about the benefits of autonomous data platforms
The autonomous data platforms can encrypt data, track workloads, and monitor any entity that attempts to access the data. As a result, these platforms let businesses to use data without having to worry about regulatory or reputational damage from an improper environment. Furthermore, these systems provide exceptional flexibility, allowing businesses to grow or decrease capacity based on convenience and requirements.
Threat:
Lack of skilled professionals
Complex and costly integration, as well as restricted support and customization are some limitations and difficulties that can impede market expansion. Market limitations may be caused by things like a shortage of highly qualified workers and challenging analytical procedures. However, difficult analytical methods, a lack of competent and trained personnel, and issues connected with striking a balance between quality and safety are impeding market expansion.
Covid-19 Impact
The breakout of the COVID-19 pandemic has had an impact on the market for an autonomous data platform, and the sector's growth is projected to be driven post-pandemic. This is due to the increasing transmission rate of COVID-19 over the world, as well as the companies' use of work-from-home models to protect their employees from the deadly virus. As a result, many businesses have made significant investments in autonomous data platform solutions to streamline and boost productivity throughout their business activities. Furthermore, the rise in network dependency and network load during the pandemic time will boost the expansion of the autonomous data platform industry.
The cloud segment is expected to be the largest during the forecast period
The cloud segment is estimated to have a lucrative growth, due to the flexibility and cost-effectiveness of cloud-based solutions, users are more likely to prefer and adopt them. Cloud computing platforms provide for greater scalability, lower implementation costs, and continuous development. Implementing cloud-based solutions simplifies service delivery due to its virtual environment, which allows organisations to access information across interconnected devices at any time. Users can upload data to linked devices across a network rather than saving it locally on devices. These advantages provided by cloud adoption will boost segment growth.
The small and medium size enterprises segment is expected to have the highest CAGR during the forecast period
The small and medium size enterprises segment is anticipated to witness the fastest CAGR growth during the forecast period, due to the increase in investments in advanced techniques such as machine learning, expanding application of AI technology, and rising usage of digital payment systems. Because of increased volume, small and medium-sized organisations are expected to expand their demand for self-contained data structures. The autonomous data platform market will grow as machine learning and AI are used more frequently to improve decision-making.
Region with highest share:
North America is projected to hold the largest market share during the forecast period, because the region is home to the most developed economies, such as Canada and the United States, it is regarded as the most advanced region in terms of embracing cutting-edge technologies and cloud-based solutions. The increasing use of mobile phones and the internet in North America is driving significant industry growth. Furthermore, the increased use of smart phones and digital networking sites to engage with business partners and clients is helping the region's market expansion.
Region with highest CAGR:
Asia Pacific is projected to have the highest CAGR over the forecast period, owing to the increasing use of AI and machine learning to assist decision-making. Furthermore, the capacity of organisations to merge client data from multiple sources onto an uniform platform, decreasing hours of computing effort, is facilitating the demand for autonomous data platforms. Because of increasing expenditures in R&D activities to improve the capabilities of these platforms, the autonomous data platform business is anticipated to see new growth prospects. As a result, over the forecast period, the Asia Pacific area is likely to have strong momentum for autonomous database platforms.
Key players in the market
Some of the key players profiled in the Autonomous Data Platform Market include Oracle Corporation, Hewlett Packard Enterprise Development LP, Amazon Web Services, Inc., Teradata, IBM, Denodo Technologies, Alteryx, Inc., Gemini Data, Cloudera, Inc., Qubole, Inc., Paxata, Inc., Zaloni Inc., Ataccama Corporation, MapR Technologies, Inc. and Intellias Ltd.
Key Developments:
In September 2021, Alteryx formed a partnership with UiPath, a software company for robotic process automation. Through this partnership, the two companies jointly developed a new connector that allows Alteryx users to call out to UiPath bots and integrate UiPath's RPA capabilities into their workflows.
In January, 2021, Alteryx partnered with Snowflake, the Data Cloud company. Under this partnership, the analytics automation and data science capabilities of Alteryx would be integrated into Snowflake's platform. This integration would offer customers automated data pipelining, rapid data processing, and speed analytics outcomes at scale.
In December 2020, AWS came into a partnership with BlackBerry QNX, a subsidiary of BlackBerry. Through this partnership, the two companies would jointly create BlackBerry IVY, an Intelligent Vehicle Data Platform. Moreover, BlackBerry IVY can be defined as a scalable, cloud-connected software platform that enables automobile manufacturers to offer a constant and safe way to read vehicle sensor data, centralize it, and develop actionable insights from that data both locally in the vehicle and in the cloud.
In October 2020, IBM joined hands with AT&T, an American multinational conglomerate holding company. Through this collaboration, the two companies introduced Hybrid Cloud in order to help the companies better manage open hybrid cloud computing in a low-latency, private cellular network edge environment.
In Feb 2020, Oracle announced the availability of the Oracle Cloud Data Science Platform. At the core is Oracle Cloud Infrastructure Data Science, helping enterprises to collaboratively build, train, manage and deploy machine learning models to increase the success of data science projects, helping improve the effectiveness of data science teams with capabilities like shared projects, model catalogs, team security policies, reproducibility and auditability.
In June 2019, Qubole introduced a self-service platform for data scientists and engineers to construct AI, machine learning, and analytics processes on their preferred public cloud.
In April 2019, MapR announced new MapR Data Platform innovations including new, deep integrations with Kubernetes key components for primary workloads on Spark and Drill. The platform was able to better manage extremely elastic workloads as a result of this innovation.
Components Covered:
• Services
• Platform
Deployments Covered:
• Cloud
• On-premises
Enterprises Covered:
• Small and Medium Enterprise (SME)
• Large Enterprise
End Users Covered:
• Banking, Financial Services and Insurance (BFSI)
• Healthcare and Life Sciences
• Media and Telecommunication
• Retail and Consumer Goods
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Autonomous Data Platform Market, By Component
5.1 Introduction
5.2 Services
5.2.1 Advisory
5.2.2 Support and Maintenance
5.2.3 Integration
5.3 Platform
6 Global Autonomous Data Platform Market, By Deployment
6.1 Introduction
6.2 Cloud
6.3 On-premises
7 Global Autonomous Data Platform Market, By Enterprise
7.1 Introduction
7.2 Small and Medium Enterprise (SME)
7.3 Large Enterprise
8 Global Autonomous Data Platform Market, By End User
8.1 Introduction
8.2 Banking, Financial Services and Insurance (BFSI)
8.3 Healthcare and Life Sciences
8.4 Media and Telecommunication
8.5 Retail and Consumer Goods
8.6 Other End Users
8.6.1 Energy & Utilities
8.6.2 Travel & Hospitality
8.6.3 Transportation & Logistics
9 Global Autonomous Data Platform Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa
10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies
11 Company Profiling
11.1 Oracle Corporation
11.2 Hewlett Packard Enterprise Development LP
11.3 Amazon Web Services, Inc.
11.4 Teradata
11.5 IBM
11.6 Denodo Technologies
11.7 Alteryx, Inc.
11.8 Gemini Data
11.9 Cloudera, Inc.
11.10 Qubole, Inc.
11.11 Paxata, Inc.
11.12 Zaloni Inc.
11.13 Ataccama Corporation
11.14 MapR Technologies, Inc.
11.15 Intellias Ltd.
List of Tables
1 Global Autonomous Data Platform Market Outlook, By Region (2020-2028) ($MN)
2 Global Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
3 Global Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
4 Global Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
5 Global Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
6 Global Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
7 Global Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
8 Global Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
9 Global Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
10 Global Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
11 Global Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
12 Global Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
13 Global Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
14 Global Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
15 Global Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
16 Global Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
17 Global Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
18 Global Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
19 Global Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
20 Global Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
21 Global Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
22 Global Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
23 North America Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
24 North America Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
25 North America Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
26 North America Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
27 North America Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
28 North America Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
29 North America Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
30 North America Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
31 North America Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
32 North America Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
33 North America Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
34 North America Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
35 North America Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
36 North America Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
37 North America Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
38 North America Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
39 North America Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
40 North America Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
41 North America Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
42 North America Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
43 North America Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
44 North America Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
45 Europe Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
46 Europe Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
47 Europe Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
48 Europe Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
49 Europe Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
50 Europe Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
51 Europe Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
52 Europe Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
53 Europe Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
54 Europe Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
55 Europe Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
56 Europe Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
57 Europe Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
58 Europe Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
59 Europe Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
60 Europe Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
61 Europe Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
62 Europe Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
63 Europe Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
64 Europe Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
65 Europe Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
66 Europe Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
67 Asia Pacific Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
68 Asia Pacific Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
69 Asia Pacific Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
70 Asia Pacific Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
71 Asia Pacific Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
72 Asia Pacific Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
73 Asia Pacific Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
74 Asia Pacific Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
75 Asia Pacific Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
76 Asia Pacific Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
77 Asia Pacific Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
78 Asia Pacific Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
79 Asia Pacific Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
80 Asia Pacific Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
81 Asia Pacific Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
82 Asia Pacific Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
83 Asia Pacific Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
84 Asia Pacific Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
85 Asia Pacific Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
86 Asia Pacific Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
87 Asia Pacific Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
88 Asia Pacific Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
89 South America Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
90 South America Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
91 South America Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
92 South America Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
93 South America Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
94 South America Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
95 South America Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
96 South America Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
97 South America Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
98 South America Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
99 South America Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
100 South America Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
101 South America Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
102 South America Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
103 South America Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
104 South America Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
105 South America Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
106 South America Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
107 South America Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
108 South America Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
109 South America Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
110 South America Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
111 Middle East & Africa Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
112 Middle East & Africa Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
113 Middle East & Africa Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
114 Middle East & Africa Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
115 Middle East & Africa Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
116 Middle East & Africa Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
117 Middle East & Africa Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
118 Middle East & Africa Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
119 Middle East & Africa Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
120 Middle East & Africa Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
121 Middle East & Africa Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
122 Middle East & Africa Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
123 Middle East & Africa Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
124 Middle East & Africa Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
125 Middle East & Africa Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
126 Middle East & Africa Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
127 Middle East & Africa Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
128 Middle East & Africa Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
129 Middle East & Africa Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
130 Middle East & Africa Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
131 Middle East & Africa Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
132 Middle East & Africa Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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