The Global IoT Data Management Market was worth US$ 94.79 billion in 2021, and it is estimated to reach a valuation of US$ 216.9 billion by the end of 2027, expanding at an annual growth rate of 14.3% between 2022 and 2027.
The IoT data management referred to the process which enables users to track, monitor and manage the devices in order to ensure these work properly and securely after deployment.
The IoT refers to the vast network of devices and physical network that is integrated with internet connection in order to recognize and communicate with other devices and objects. This process of integration is generating data that must be captured and managed. So implementation of IoT solutions in a secure and effective manner, business leaders need to create and IoT data management strategy. These IoT data management solutions or strategies offer business leaders to reduce cost and efficiently implementation of IoT solutions. Additionally IoT management solutions help organization to ensure that challenges faced by IoT infrastructure do not outweigh its benefits. These IoT data management solutions are applicable in Energy and Utilities, Smart Manufacturing, Building and Home Automation, Smart Healthcare, Smart Retail, Smart Mobility and Transportation, Connected Logistics areas.
The driving force of the IoT Data Management Market is rapid growth of industrial automation. The industries are currently showing significant evolutionary changes along with rising automation processes. The combination of physical with digital has improved HMI and enabled Machine-to-Machine communication. Moreover, the rising Industry 4.0 has defined the entire life cycle of products where the manufacturing processes by smart are carried by on their won, smart robots coordinates with human to assemble products and driverless transport vehicles have started to operate logistics on their own. The combination of cyber systems and physical systems within the industrial manufacturing industries enables higher efficiency, greater safety, predictive maintenance of machines, and increased profitability. Therefore, industries across the world are implementing Industry 4.0 to optimize material flow and detect errors at the initial stages of the life cycle of a product.
The rising adoption of IoT based smart devices such as speakers, watches, smart wearable’s, smart homes etc. is fueling the demand of the IoT data management solutions in order to manage and analyze large amount of data. With the increasing adoption of IoT devices led to large amount of data traffic in order to manage that traffic, the need of IoT data management solutions is increasing which boosts the growth of the market. Additionally, the technological advance in wireless technologies is also booting the growth of the market. The increasing adoption of smart home in North America is also driving the growth of the IoT data management market
Lack of industrial in operational standards along with skills and expertise professional is hampering the growth of the market.
Market Size Available
2021 – 2027
By Components, Deployment Type, Organization Size, Application, and Region.
Various Analyses Covered
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities
North America, Europe, APAC, Latin America, Middle East & Africa
Market Leaders Profiled
International Business Machines (IBM) Corporation,PTC Inc,Teradata Corporation,Dell Technologies, Inc,Cisco Systems, Inc,SAS Institute Inc,Hewlett Packard Enterprise (HPE) Company,Fujitsu Limited,Oracle Corporation,Google Inc,SAP SE and Others.
Based on Components, the Global IoT Data Management is segmented into Solutions and Services. The Solution segment is bifurcated into Data Integration, Data Analytics and Visualization, Metadata Management and Data Security. The Metadata management solution segment is expected to grow at highest CAGR during the forecast period as enterprises need to continuously manage the data generated by the sensor types, functions, locations, manufacturers, and serial numbers. Metadata management is much helpful for viewing device IDs, life cycle status, permissions, sensor readings and forecasts
Based on Deployment type, the Global IoT Data Management is segmented into public cloud, private cloud and hybrid cloud. Hybrid cloud segment is estimated to dominate the market over this period as hybrid cloud deployment model make use of both public as well as private cloud. Hybrid cloud has all the benefits of both public as well as private cloud that enables companies to have better safeguards and controls for strategically important workloads and data in the most-cost and resource effective way possible. The advantage of deploying hybrid cloud includes control, scalability and cost effectiveness drives the demand of the hybrid cloud deployment which further fuels the market growth.
Based on Organization size, the Global IoT Data Management is segmented into Small and Medium-sized Enterprises (SMEs) and large enterprises. Large enterprises are expected to dominate the market as large enterprises has significant amount of data traffic that has to be managed and secured effectively.
Based on Application, the Global IoT Data Management is segmented into Smart Energy and Utilities, Smart Manufacturing, Building and Home Automation, Smart Healthcare, Smart Retail, Smart Mobility and Transportation, Connected Logistics, and Others. Smart Healthcare segment and Building and Home automation is driving the growth of the market due to adoption of smart wearable IoT devices and adoption of smart homes is increasing in the market also , the growing development and adoption of smart IT devices in healthcare sector is fueling the growth of the market.
The Global IoT Data Management Market has been categorized in four regions:
North America is holds the largest share of global IoT data management market due to rapidly increasing automotive market which is focusing towards the complete self-driving ecosystem over the forecast period along with the growing demand of fleet management and intelligent transportation systems by the courier delivery giants that will show positively impact the IoT data management market growth. The adoption of smart devices such as speakers, watches, smart wearables, and smart homes with integration of IoT devices is fueling the demand of the IoT data management solutions which further boosts the growth of the market in this region. According to Sanford University & Avast research, North American homes have the highest density of IoT devices around the globe that increases the demand of the IoT data management solutions that will again boost the market growth.
Asia-Pacific is expected to witness a highest growth rate during this period due to rapid development in IT infrastructures. The growing adoption of new technologies such as big data and analytics, Industrial Internet of Things, BYOD concept, remote asset management and cloud is fueling the growth of the market in the industries. The healthcare is in boom in this region in also the government is focus on making things digitalized in this sector is fueling the demand of the IoT data management devices in order to manage data.
Europe is expected to show a healthy growth rate in this region due to huge adoption of IoT in healthcare, home and finances sector in this region which further fuels the demand of the IoT data management solutions.
Microsoft Corporation had the largest share of the world’s IoT data management market in terms of sales revenue in 2020.
The Global IoT Data Management Market has been significantly impacted by the COVID-19 outbreak. New projects have stalled throughout the world, which, in turn, have led to a decline in demand for IoT data management solutions. Due to pandemic, industries has gone through economic loss as strict lockdown. Therefore, demand of IoT device management solution was declined due to decreasing adoption of IoT devices by industries during pandemic which has negatively affected the market growth. But as the situation is becoming normal, it demand of IoT devices is again increasing in the industries which directly fuel the growth of the IoT data management market in projected period between 2022 and 2027.
Some of the leading companies operating in the Global IoT Data Management Market are
1.1 Market Definition
1.2 Scope of the report
1.3 Study Assumptions
1.4 Base Currency, Base Year and Forecast Periods
2. Research Methodology
2.1 Analysis Design
2.2 Research Phases
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Data Modelling
2.2.4 Expert Validation
2.3 Study Timeline
3. Report Overview
3.1 Executive Summary
3.2 Key Inferencees
4. Market Dynamics
4.1 Impact Analysis
4.2 Regulatory Environment
4.3 Technology Timeline & Recent Trends
5. Competitor Benchmarking Analysis
5.1 Key Player Benchmarking
5.1.1 Market share analysis
5.1.3 Regional Presence
5.2 Mergers & Acquistion Landscape
5.3 Joint Ventures & Collaborations
6. Market Segmentation
6.1 IoT Data Management Market, By Components
6.1.3 Market Size Estimations & Forecasts (2022-2027)
6.1.4 Y-o-Y Growth Rate Analysis
6.1.5 Market Attractiveness Index
6.2 IoT Data Management Market, By Deployment Type
6.2.1 Public Cloud
6.2.2 Private Cloud
6.2.3 Hybrid Cloud
6.2.4 Market Size Estimations & Forecasts (2022-2027)
6.2.5 Y-o-Y Growth Rate Analysis
6.2.6 Market Attractiveness Index
6.3 IoT Data Management Market, By Organization size
6.3.1 Small and Medium-sized Enterprises (SMEs)
6.3.2 large enterprises
6.3.3 Market Size Estimations & Forecasts (2022-2027)
6.3.4 Y-o-Y Growth Rate Analysis
6.3.5 Market Attractiveness Index
6.4 IoT Data Management Market, By Application Area
6.4.1 Smart Energy and Utilities
6.4.2 Smart Manufacturing
6.4.3 Building and Home Automation
6.4.4 Smart Healthcare
6.4.5 Smart Retail
6.4.6 Smart Mobility and Transportation
6.4.7 Connected Logistics
6.4.9 Market Size Estimations & Forecasts (2021-2026)
6.4.10 Y-o-Y Growth Rate Analysis
6.4.11 Market Attractiveness Index
7. Geographical Landscape
7.1 Global IoT Data Management Market, by Region
7.2 North America - Market Analysis (2022-2027)
7.2.1 By Country
7.2.2 By Components
7.2.3 By Deployment Type
7.2.4 By Organization size
7.2.5 By Application Area
7.3.1 By Country
220.127.116.11 Rest of Europe
7.3.2 By Components
7.3.3 By Deployment Type
7.3.4 By Organization size
7.3.5 By Application Area
7.4 Asia Pacific
7.4.1 By Country
18.104.22.168 South Korea
22.214.171.124 South East Asia
126.96.36.199 Australia & NZ
188.8.131.52 Rest of Asia-Pacific
7.4.2 By Components
7.4.3 By Deployment Type
7.4.4 By Organization size
7.4.5 By Application Area
7.5 Latin America
7.5.1 By Country
184.108.40.206 Rest of Latin America
7.5.2 By Components
7.5.3 By Deployment Type
7.5.4 By Organization size
7.5.5 By Application Area
7.6 Middle East and Africa
7.6.1 By Country
220.127.116.11 Middle East
7.6.2 By Components
7.6.3 By Deployment Type
7.6.4 By Organization size
7.6.5 By Application Area
8. Key Player Analysis
8.1 International Business Machines (IBM) Corporation
8.1.1 Business Description
8.1.4 SWOT Analysis
8.1.5 Recent Developments
8.1.6 Analyst Overview
8.2 PTC Inc.
8.3 Teradata Corporation
8.4 Dell Technologies, Inc.
8.5 Cisco Systems, Inc.
8.6 SAS Institute Inc.
8.7 Hewlett Packard Enterprise (HPE) Company
8.8 Fujitsu Limited
8.9 Oracle Corporation
8.10 Google Inc.
8.11 SAP SE.
9. Market Outlook & Investment Opportunities
List of Tables
List of Figures
The IoT data management market size was estimated at USD$ 94.79 billion in 2021 and estimated to reach USD$ 108.8 billion in 2022
The IoT data management market is expected to grow at a compound annual growth rate of 14.8% from 2022 and 2027 to reach USD$ 216.98 billion in 2027
Solution segment is expected to dominate the market in which metadata management and data security will boost the market growth in projected period
The rapid industrial automation as well as huge adoption of IoT based smart devices is fueling the growth of the market.
The trending technologies that are playing vital role in IoT data management are data analytics, blockchain, machine learning, and artificial intelligence
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