Industrial Analytics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The report covers Industrial Analytics Market Companies and it is segmented by deployment (on-premise, cloud), component (software, services), type (predictive analytics, prescriptive analytics, descriptive analytics), end user (construction, manufacturing, mining, transportation, and other end-user industry), and geography (North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa). The market sizes and forecasts are provided in value (USD million) for all the above segments.

Industrial Analytics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Industrial Analytics Market Size

Industrial Analytics Market Summary
Study Period 2019 - 2030
Market Size (2025) USD 38.12 Billion
Market Size (2030) USD 83.28 Billion
CAGR (2025 - 2030) 16.92 %
Fastest Growing Market Asia Pacific
Largest Market North America
Market Concentration Low

Major Players

Industrial Analytics Market Major Players

*Disclaimer: Major Players sorted in no particular order

Compare market size and growth of Industrial Analytics Market with other markets in Technology, Media and Telecom Industry

Automation

Digital Commerce

Electronics

Information Technology

Media and Entertainment

Security & Surveillance

Industrial Analytics Market Analysis

The Industrial Analytics Market size is estimated at USD 38.12 billion in 2025, and is expected to reach USD 83.28 billion by 2030, at a CAGR of 16.92% during the forecast period (2025-2030).

The rising Industry 4.0 will drive the market in the forecast period. An increasing number of IoT and IIoT installations are the primary enablers of industrial analytics in the global market. The growing data available from multiple sources across the production line, such as sensors, machine vision systems, PLCs, etc., are moving industries from data metrics models to data analytics models.

  • Industrial analytics includes collecting, analyzing, and using data generated in industrial operations. It covers a wide range of data captured from devices and sources, whether an asset or a production process. Anything with the sensor creates data, and industrial analytics examines all this data.
  • Industrial analytics differs from Big Data analytics systems in that they are designed to meet the exacting standards of the industry in which they work. It includes processing vast quantities of time series data from numerous sources and turning it into actionable insights. Industrial analytics is relevant to any company that manufactures and sells physical products.
  • The typical and traditional approach to industrial analytics involves data scientists building an analytics model. Data scientists must understand the use case scenario and then gather, transform, optimize, and load the data in the developed data model, which needs to be validated, optimized, and trained. The completed data model delivers answers to the initial questions.
  • However, this approach leaves organizations dependent on their data scientists and results in a solution that subject matter experts (SMEs) (engineers and operators) might need to fully understand. Moreover, the market witnessed a growing trend toward self-service applications in the past few years. This next generation of software uses advanced search algorithms, machine learning (ML), and pattern recognition technologies to make querying industrial data as easy as using Google.
  • An industrial analytics solution focuses on self-service, resulting in benefits to day-to-day plant operation. It includes enhanced root cause analysis, accurate performance prediction, automated monitoring, and knowledge retention. By sharing analytics insights with users, they can take immediate action when a trend appears and directly contribute to improving overall plant performance at all production levels.
  • The COVID-19 outbreak forced companies worldwide to adjust their strategies to survive in the 'new normal.' Customers have changed their priorities, too. Many are shopping online or have found that the stores they frequented in person not so long ago only provide deliveries. Businesses witnessed surges in demand for some products, while entire industries virtually ceased operations due to COVID-19 shutdowns impacting the market adversely.

Industrial Analytics Industry Overview

The major players include Intel, Cisco Systems, IBM, General Electric, Amazon.com, Oracle Corporation, Hewlett-Packard, Microsoft Corporation, and Genpact, amongst others. The market is fragmented since there is high competition among major players due to the adoption of industry 4.0 and the companies spending heavily on R&D for better operational activities. Therefore, the market concentration will be low.

  • August 2022-Industrial Analytics, a firm based in Berlin, was acquired by Infineon Technologies AG. Infineon is enhancing its artificial intelligence software and services business to perform predictive analysis on machinery and industrial equipment. Infineon is acquiring all outstanding shares of the business. Based on the collection and evaluation of vibrations, Industrial Analytics creates artificial intelligence systems that, for instance, monitor plants for the early detection of significant developments. Industrial Analytics' AI solutions analyze data for predictive maintenance and make actionable suggestions.

Industrial Analytics Market Leaders

  1. Cisco Systems

  2. IBM Corporation

  3. General Electric Company

  4. Oracle Corporation

  5. Robert Bosch GmbH

  6. *Disclaimer: Major Players sorted in no particular order
Industrial Analytics Market Concentration
Need More Details on Market Players and Competiters?
Download PDF

Industrial Analytics Market News

  • November 2022-Fractal, a developer of artificial intelligence and advanced analytics solutions to Fortune 500 enterprises, announced the introduction of Asper.ai today. Asper.ai is a purpose-built linked AI solution for consumer goods, manufacturing, and retail, building on the company's existing AI capabilities.
  • January 2022: Dunnhumby, the prominent player in Customer Data Science, announced a new strategic collaboration with SAP, the industry leader in business application software, to assist retailers in integrating sophisticated customer insights into their marketing and merchandising operations. The collaboration will enable businesses to make quicker, client-driven choices and provide a more individualized in-store and online shopping experience. As they prepare for the future of retail, retailers will be better able to transform customer data into unambiguous actions to streamline and improve routine business procedures.

Industrial Analytics Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Assessment of Impact of COVID-19 on the Market

5. MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Demand for Big-Data in Information Technology Sector
    • 5.1.2 Rising Demand from the E-commerce Sector
  • 5.2 Market Restraints
    • 5.2.1 Lack of Skilled Professional Across Industries

6. MARKET SEGMENTATION

  • 6.1 By Deployment
    • 6.1.1 On-premises
    • 6.1.2 Cloud
  • 6.2 By Component
    • 6.2.1 Software
    • 6.2.2 Services
  • 6.3 By Type
    • 6.3.1 Predictive Analytics
    • 6.3.2 Prescriptive Analytics
    • 6.3.3 Descriptive Analytics
  • 6.4 By End User Industry
    • 6.4.1 Construction
    • 6.4.2 Manufacturing
    • 6.4.3 Mining
    • 6.4.4 Transportation
    • 6.4.5 Other End User Industry
  • 6.5 By Geography
    • 6.5.1 North America
    • 6.5.2 Europe
    • 6.5.3 Asia Pacific
    • 6.5.4 Latin America
    • 6.5.5 Middle East and Africa

7. COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Cisco Systems
    • 7.1.2 IBM Corporation
    • 7.1.3 General Electric Company
    • 7.1.4 Amazon Web Services Inc.
    • 7.1.5 Oracle Corporation
    • 7.1.6 Hewlett-Packard Enterprise
    • 7.1.7 Robert Bosch GmbH
    • 7.1.8 Microsoft Corporation
    • 7.1.9 SAP SE
    • 7.1.10 ABB Ltd.
  • *List Not Exhaustive

8. INVESTMENT ANAYSIS

9. FUTURE OF THE MARKET

**Subject to Availability
You Can Purchase Parts Of This Report. Check Out Prices For Specific Sections
Get Price Break-up Now

Industrial Analytics Industry Segmentation

Industrial analytics is the tool that turns machine data into actionable insights, thereby promoting efficient industry operations and business processes. Industry analytics tools use traditional data capture and statistical modeling methods and pair them with advanced analytics algorithms.

The Industrial Analytics Market is segmented by deployment (on-premise, cloud), component (software, services), type (predictive analytics, prescriptive analytics, descriptive analytics), end user (construction, manufacturing, mining, transportation, and other end-user industry), and geography (North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa).

The market sizes and forecasts are provided in value (USD million) for all the above segments.

By Deployment On-premises
Cloud
By Component Software
Services
By Type Predictive Analytics
Prescriptive Analytics
Descriptive Analytics
By End User Industry Construction
Manufacturing
Mining
Transportation
Other End User Industry
By Geography North America
Europe
Asia Pacific
Latin America
Middle East and Africa
Need A Different Region or Segment?
Customize Now

Industrial Analytics Market Research FAQs

How big is the Industrial Analytics Market?

The Industrial Analytics Market size is expected to reach USD 38.12 billion in 2025 and grow at a CAGR of 16.92% to reach USD 83.28 billion by 2030.

What is the current Industrial Analytics Market size?

In 2025, the Industrial Analytics Market size is expected to reach USD 38.12 billion.

Who are the key players in Industrial Analytics Market?

Cisco Systems, IBM Corporation, General Electric Company, Oracle Corporation and Robert Bosch GmbH are the major companies operating in the Industrial Analytics Market.

Which is the fastest growing region in Industrial Analytics Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Industrial Analytics Market?

In 2025, the North America accounts for the largest market share in Industrial Analytics Market.

What years does this Industrial Analytics Market cover, and what was the market size in 2024?

In 2024, the Industrial Analytics Market size was estimated at USD 31.67 billion. The report covers the Industrial Analytics Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Industrial Analytics Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Industrial Analytics Industry Report

Statistics for the 2025 Industrial Analytics market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Industrial Analytics analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.