IoT Analytics Market: Trends, Forecast and Competitive Analysis

Trends, opportunities and forecast in IoT analytics market to 2025 by type (software [sensor data analytics, IoT gateway analytics, and network management] and services [deployment and integration, support and maintenance, consulting services, and managed services]), analytics type (predictive analytics, prescriptive analytics, and descriptive analytics), application (energy management, predictive and asset management, inventory management, security and emergency management, sales and customer management, building automation, infrastructure management, remote monitoring, and others), deployment model (on-premise and hosted), end use industry (healthcare, government and defense, manufacturing, energy and utilities, telecommunication and IT, transportation and logistics, retail, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)

Publisher: Lucintel Published: November 2020
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IoT Analytics Market: Trends, Forecast and Competitive Analysis

Report Feature

The future of the IoT analytics market looks promising with opportunities in various applications, such as predictive and asset management, energy management, inventory management, security and emergency management, sales and customer management, building automation, infrastructure management, and remote monitoring. The global IoT analytics market is expected to grow with a CAGR of 29% to 31% from 2020 to 2025. The major drivers for this market are increasing demand for predictive analytics by business and growth in IoT data generation owing to increasing deployment of IoT devices.

A more than 150 page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope of, benefits, companies researched and other details of IoT analytics market report download the report brochure.
 
 
 



 
 


 
The study includes trends and forecasts for the global IoT analytics market by type, analytics type, application, deployment model, end use industry, and region as follows:

By Type [$M shipment analysis for 2014 – 2025]:
  • Software
    • Sensor Data Analytics
    • IoT Gateway Analytics
    • Network Management
  • Services
    • Deployment and Integration
    • Support and Maintenance
    • Consulting Services
    • Managed Services 

By Analytics Type [$M shipment analysis for 2014 – 2025]:
  • Predictive Analytics
  • Prescriptive Analytics
  • Descriptive Analytics 

By Application [$M shipment analysis for 2014 – 2025]:
  • Energy Management
  • Predictive and Asset Management
  • Inventory Management
  • Security and Emergency Management
  • Sales and Customer Management
  • Building Automation
  • Infrastructure Management
  • Remote Monitoring
  • Others

By Deployment Model [$M shipment analysis for 2014 – 2025]:
  • On-Premise 
  • Hosted

By End Use Industry [$M shipment analysis for 2014 – 2025]:
  • Healthcare
  • Government and Defense
  • Manufacturing
  • Energy and Utilities
  • Telecommunication and IT
  • Transportation and Logistics
  • Retail
  • Others

By Region [$M shipment analysis for 2014 – 2025]:
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
  • The Rest of the World
Some of the IoT analytics companies profiled in this report include IBM, Microsoft, Oracle, SAP SE, Cisco Systems, Dell, Google, Amazon Web Services, HP Enterprise Company, PTC, Hitachi, Teradata, Salesforce.com, and Greenwave Systems.

Predictive analytics will remain the largest analytics type segment during the forecast period due to its ability to discover data and predict future outcomes and trends.

North America will remain the largest region during the forecast period due to increasing adoption in various industries, such as retail & e-commerce, manufacturing, healthcare & life science, and telecommunication & IT. 





 
Features of IoT Analytics Market
 
  • Market Size Estimates: IoT analytics market size estimation in terms of value ($M)
  • Trend and Forecast Analysis: Market trends (2014-2019) and forecast (2020-2025) by various segments and regions.
  • Segmentation Analysis: Market size by type, analytics type, application, deployment model, and end use industry
  • Regional Analysis: IoT analytics market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different type, analytics type, application, deployment model, end use industry, and regions for IoT analytics market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the IoT analytics market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.








 
This report answers following 11 key questions
 
Q.1 What are some of the most promising potential, high-growth opportunities for the global IoT analytics market by type (software [sensor data analytics, IoT gateway analytics, and network management] and services [deployment and integration, support and maintenance, consulting services, and managed services]), analytics type (predictive analytics, prescriptive analytics, and descriptive analytics), application (energy management, predictive and asset management, inventory management, security and emergency management, sales and customer management, building automation, infrastructure management, remote monitoring, and others), deployment model (on-premise and hosted), end use industry (healthcare, government and defense, manufacturing, energy and utilities, telecommunication and IT, transportation and logistics, retail, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which regions will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the IoT analytics market?
Q.5 What are the business risks and threats to the IoT analytics market?
Q.6 What are emerging trends in this IoT analytics market and the reasons behind them?
Q.7 What are some changing demands of customers in the IoT analytics market?
Q.8 What are the new developments in the IoT analytics market? Which companies are leading these developments?
Q.9 Who are the major players in the IoT analytics market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes in the IoT analytics market, and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M&A activities did take place in the last five years in the IoT analytics market?
 

Table of Contents

1. Executive Summary

Methodology

Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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