Industrial Analytics Market Size & Share 2023 to 2032
Market Size by Analytics Type (Descriptive, Diagnostic, Predictive, Prescriptive), Deployment Model (On-premises, Cloud), Enterprise Size (SME, Large Enterprise), Component, End Use & Global Forecast.
Report ID: GMI7397
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Published Date: November 2023
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Industrial Analytics Market Size
Industrial Analytics Market size was valued at USD 35.2 billion in 2022 and is anticipated to register a CAGR of over 12% between 2023 and 2032. Increasing investments in advanced analytics solutions are driving significant growth in the market. Businesses across various sectors are recognizing the value of data-driven insights in enhancing operational efficiency and decision-making. For instance, in March 2023, SAS, a leading analytics company, announced a strategic initiative to dedicate USD 1 billion in funding over the next three years for the advancement of cutting-edge analytics solutions. This investment aims to cater to the unique requirements of industries such as manufacturing, energy, government, banking, insurance, healthcare, and retail.
Industrial Analytics Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
Industrial analytics solutions play a crucial role in monitoring and enhancing product quality for industries. By analyzing vast amounts of data from manufacturing processes, sensors & equipment, these solutions identify patterns and deviations. Real-time monitoring helps detect anomalies, ensuring timely intervention to prevent defects. Predictive analytics forecasts potential quality issues, enabling proactive measures. Through data-driven insights, industries can optimize production parameters, maintain consistent quality standards, minimize defects, and ultimately improve the overall product quality & customer satisfaction.
Data quality and integration pose significant challenges in the industrial analytics market. Industrial data is often collected from diverse sources and in various formats, leading to inconsistencies & errors. Ensuring the accuracy, completeness, and reliability of this data is crucial for meaningful analysis. Additionally, integrating data from different systems, sensors, and devices within industrial environments is complex. Mismatched data formats and standards hinder seamless integration, making it challenging to derive cohesive insights and hindering the implementation of effective analytics solutions.
COVID-19 Impact
The COVID-19 pandemic has negatively impacted the industrial analytics market. Disruptions in global supply chains, reduced manufacturing activities, and economic uncertainties led many industries to curtail investments in analytics solutions. Businesses faced budget constraints, delaying, or cancelling planned analytics projects. Additionally, the focus shifted toward immediate cost-cutting measures, diverting attention and resources away from long-term analytics implementations. These challenges hindered market growth as industries grappled with the pandemic's economic repercussions.
Industrial Analytics Market Trends
Predictive maintenance solutions are driving lucrative growth in the industrial analytics industry by revolutionizing maintenance practices. These solutions utilize advanced analytics, IoT sensors, and machine learning algorithms to predict equipment failures. For instance, in September 2023, Rockwell Automation introduced a novel AI predictive maintenance solution called Asset Risk Predictor, developed in collaboration with Fiix (Rockwell’s cloud-based computer maintenance management system business). The product harnesses AI sensor data, machine recipes, and operational data to anticipate asset health. By enabling users to identify and prevent failures before they occur, it enhances maintenance efficiency & minimizes downtime.
The proliferation of Industry 4.0, characterized by the integration of smart technologies and data-driven automation into industrial processes, is driving the market. Industry 4.0 initiatives leverage IoT devices, big data analytics, and artificial intelligence to create intelligent, interconnected manufacturing systems. These advancements generate vast amounts of data, necessitating sophisticated analytics tools. By harnessing this data, industries can optimize operations, improve efficiency & enhance decision-making, thereby fuelling the demand for industrial analytics solutions and propelling market growth.
Industrial Analytics Market Analysis
Based on component, the hardware segment accounted for 40% of the market share in 2022, propelled by the widespread adoption of IoT devices and the increasing need for seamless connectivity between industrial machines & systems. IoT devices including sensors and connected equipment drive the demand for hardware components, enabling data collection. Additionally, the emphasis on real-time data processing necessitates hardware solutions, such as gateways & communication modules, to support efficient connectivity. These advancements cater to the growing demand for data-driven decision-making, boosting the hardware segment's significance in the market.
Based on deployment model, the on-premises segment held around 58% of the industrial analytics market share in 2022. Enhanced operational efficiency is driving the preference for on-premises deployment in the market. On-premises solutions offer tailored configurations and optimized performance, leading to faster data processing & analysis. For instance, in September 2023, SICK introduced an Industry 4.0 on-premises data intelligence platform, SICK Field Analytics, enabling manufacturing and logistics organizations to enhance their operational efficiency. The platform enables a swift setup, offering tailored condition monitoring and process insights specific to applications. Moreover, it operates independently of an organization's current machinery and systems, providing flexibility & easy integration.
Asia Pacific industrial analytics market size dominated around USD 10 billion in 2022. Rapid industrialization in the Asia Pacific region has led to a surge in the adoption of industrial analytics solutions. This trend is bolstered by supportive government initiatives, promoting digital transformation and smart manufacturing practices. Industries in the region are embracing advanced analytics technologies including IoT & machine learning to optimize production processes and enhance operational efficiency. Owing to this factor, the Asia Pacific market for industrial analytics continues to expand. These efforts align with Industry 4.0 principles, fostering a dynamic ecosystem of technological innovation and growth in various industrial sectors.
Industrial Analytics Market Share
Major companies operating in the industrial analytics industry are:
IBM, Intel Corporation and Microsoft are among the dominating players in the industrial analytics market with around 18% revenue share. Major companies in the industrial analytics industry are fiercely competing for market shares by integrating advanced AI systems and leveraging the proliferation of cloud technology. They focus on developing sophisticated analytics solutions, enhancing real-time data processing, and offering scalable cloud-based services to meet diverse industry needs, driving their competitive edge.
Industrial Analytics Industry News
The industrial analytics market research report includes in-depth coverage of the industry, with estimates & forecast in terms of revenue (USD Billion) from 2018 to 2032, for the following segments:
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Market, By Component
Market, By Analytics Type
Market, By Deployment Model
Market, By Enterprise Size
Market, By End Use
The above information has been provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →