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Global Business IoT Data Analytics Market 2025 by Company, Regions, Type and Application, Forecast to 2031

Publisher GlobalInfoResearch
Published Nov 27, 2025
Length 157 Pages
SKU # GFSH20611666

Description

According to our latest research, the global Business IoT Data Analytics market size will reach USD 6912 million in 2031, growing at a CAGR of 9.3% over the analysis period.

Business IoT (Internet of Things) data analytics refers to the process of collecting, analyzing, and interpreting large volumes of data generated by interconnected IoT devices within a business environment to gain actionable insights and drive strategic decisions. These devices, which can include sensors, machinery, vehicles, smart meters, and other equipment, continuously produce data related to operations, performance, usage, and environmental conditions. Business IoT data analytics involves the use of advanced analytical tools and techniques—such as machine learning, predictive analytics, and real-time data processing—to uncover patterns, detect anomalies, optimize processes, reduce costs, and enhance customer experiences. By leveraging this data, organizations can improve operational efficiency, forecast maintenance needs, ensure asset tracking, and create innovative products or services. This analytics process plays a crucial role in enabling businesses across industries—such as manufacturing, logistics, retail, and healthcare—to transition from reactive to proactive and data-driven decision-making models.



This report is a detailed and comprehensive analysis for global Business IoT Data Analytics market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.

Key Features:

Global Business IoT Data Analytics market size and forecasts, in consumption value ($ Million), 2020-2031

Global Business IoT Data Analytics market size and forecasts by region and country, in consumption value ($ Million), 2020-2031

Global Business IoT Data Analytics market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031

Global Business IoT Data Analytics market shares of main players, in revenue ($ Million), 2020-2025

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Business IoT Data Analytics

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Business IoT Data Analytics market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Vodafone, KORE, PTC, Accenture, Capgemini, Deloitte, Imaginovation, BICS, Coforge, RND Square, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Business IoT Data Analytics market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics

Market segment by Application
Healthcare
Aerospace
Logistics
Retail
Automotive
Others

Market segment by players, this report covers
Vodafone
KORE
PTC
Accenture
Capgemini
Deloitte
Imaginovation
BICS
Coforge
RND Square
IBM Consulting
TCS
Infosys
HCLTech
Cognizant
Wipro
Bosch Global Software Technologies
SAS
ScienceSoft
Telenor IoT
Yalantis
Netguru
HeliousTin
WEBBYLAB
Digital Aptech

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Business IoT Data Analytics product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Business IoT Data Analytics, with revenue, gross margin, and global market share of Business IoT Data Analytics from 2020 to 2025.

Chapter 3, the Business IoT Data Analytics competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Business IoT Data Analytics market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Business IoT Data Analytics.

Chapter 13, to describe Business IoT Data Analytics research findings and conclusion.

Table of Contents

157 Pages
1 Market Overview
2 Company Profiles
3 Market Competition, by Players
4 Market Size Segment by Type
5 Market Size Segment by Application
6 North America
7 Europe
8 Asia-Pacific
9 South America
10 Middle East & Africa
11 Market Dynamics
12 Industry Chain Analysis
13 Research Findings and Conclusion
14 Appendix
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