Sensor Data Analytics Market By Offering (Solution, Service), By Deployment Type (On-Premise, Cloud), By Model (Ad-Hoc Sensor Analytics, Real-Time Sensor Analytics), By Analytics Technique (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), By Tool Type (Dashboard & Data Visualization, Data Mining & Warehousing, Self-Service Tools, Reporting, Others), By Enterprise Size (Large Enterprises, Smes), By Industry Vertical (Manufacturing, Aerospace & Defense, Energy & Utilties, Government & Public Sector, Healthcare, Transportation & Logistics, Retail, Others): Global Opportunity Analysis And Industry Forecast, 2023-2031 , Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider Sensor Data Analytics market, and compares it with other markets., market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Sensor Data Analytics market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get the whole report, which includes a chart and more than 100 tables and figures. – Comprehensive Analysis of COVID-19 Market Outbreak Impact and Regional Situation
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The global sensor data analytics market revenue was around US$ 12 billion in 2021 and is estimated to reach US$ 46 billion by 2031, growing at a compound annual growth rate (CAGR) of 14.5% during the forecast period from 2022 to 2031.
Sensor data analytics is a key statistical method for gathering and analyzing data that was first derived from the most recent sensor in real-time. In addition, modern wireless sensors or connected sensors can be used to create important data. Additionally, the primary objective or approach of sensor data analytics is to find abnormalities, and this real-time data can be used for a variety of contemporary applications. The failure of a machine during production or a fast decline in a patient’s health can be quickly and easily monitored, allowing for the interruption of large serious negative outcomes.
Factors Influencing Market Growth
• An increase in wearable device demand and the development of more complex sensors drive the sensor data analytics market growth.
• An increase in demand for various types of visualized real-time sensor data and information boosts market growth.
• Improved sensors and greater Internet of Things (IoT) adoption are anticipated to provide lucrative sensor data analytics market growth opportunities.
• High installation costs, a shortage of qualified specialists, and a lack of consumer awareness of sensor data analytics hamper the market growth.
Study of the COVID-19 Pandemic
The COVID-19 pandemic had a positive impact on the sensor data analytics market. This is attributed to the various governments implementing strict rules and lockdowns. Due to the lockdown, numerous organizations have established a work-from-home culture for their staff members, which is driving demand for cloud-based sensor data analytics to manage businesses, and important information and, consequently, generating a lucrative opportunity for market expansion over the projection period.
Regional Insights
North America dominated for market share in the sensor data analytics market in 2021, and it is anticipated that it will maintain its position during the forecast period due to technological developments in the information and communication technology (ICT) sector and the rapid rise of artificial intelligence (AI) & internet of things (IoT) within industries.
Asia-Pacific is anticipating significant growth during the forecast period due to an increase in the number of big data analytics SMEs offering end consumers cost-effective solutions.
Leading Competitors
The leading competitors in the global sensor data analytics market are:
• AGT International Inc
• Cisco Systems Inc
• Cloudera Inc
• Fog Horn
• Google Inc
• General Electric
• Hewlett Packard Enterprise Company
• IBM Corporation
• Juniper Networks Inc
• Microsoft Corporation
• Qualcomm Incorporated
• Schneider Electric SE
• Seeq Corporation
• SAP SE
• Tata Consultancy Services
• Talend
• Verizon Communications Inc.
• Others
Segmentation Analysis
The global sensor data analytics market segmentation focuses on Model, Analytics Technique, Tool Type, Enterprise Size, Industry Vertical, Offerings Deployment Type, and Region.
Segmentation based on Model
• Ad-hoc Sensor Analytics
• Real-time Sensor Analytics
Segmentation based on Analytics Technique
• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
Segmentation based on Tool Type
• Dashboard & Data Visualization
• Data Mining & Warehousing
• Self-Service Tools
• Reporting
• Others
Segmentation based on Enterprise Size
• Large Enterprises
• SMEs
Segmentation based on Industry Vertical
• Manufacturing
Food & Beverages
Industrial Machinery & Heavy Equipment
High-Tech & Consumer Electronics
Automotive
Others
• Aerospace & Defense
• Energy & Utilities
• Government & Public Sector
• Healthcare
• Transportation & Logistics
• Retail
• Others
Segmentation based on Offerings
• Solution
Hardware
Software
• Service
Professional Service
Managed Service
Segmentation based on Deployment Type
• On-premise
• Cloud
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Key Points Covered in Sensor Data Analytics Market Report:
Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of Sensor Data Analytics market, Applications, Market Segment by Regions North America, Europe or Asia;
Chapter 2, objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5, to show the Overall Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show the Market size, share and forecast; Five forces analysis (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation, comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, focus on identifying the key industry influencer’s, overview of decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Market Trend Analysis, Drivers, Challenges by consumer behavior, Marketing Channels and demand & supply.
Chapter 13 and 14, describe about the vendor landscape (classification and Market Positioning)
Chapter 15, deals with Sensor Data Analytics Market sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
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