
Industrial Analytics Market Size - By Analytics Type (Descriptive, Diagnostic, Predictive, Prescriptive), Deployment Model (On-premises, Cloud), Enterprise Size (SMEs, Large Enterprise), Component, End Use & Global Forecast, 2023 - 2032
Description
Industrial Analytics Market Size - By Analytics Type (Descriptive, Diagnostic, Predictive, Prescriptive), Deployment Model (On-premises, Cloud), Enterprise Size (SMEs, Large Enterprise), Component, End Use & Global Forecast, 2023 - 2032
Industrial Analytics Market size is anticipated to expand at over 12% CAGR from 2023-2032 driven by the increasing smart manufacturing initiatives globally. With several industries embracing the principles of Industry 4.0, smart manufacturing is driving the integration of advanced technologies like IoT sensors, AI, and analytics into production processes, further escalating the need for industrial analytics solutions and services. Additionally, there has been significant rise in government and industry-driven initiatives for advocating smart manufacturing practices.
Furthermore, the ongoing advancements in analytics technologies, including ML and AI, are spurring the development of more sophisticated and powerful industrial analytics solutions, thereby supporting the industry growth. To cite an instance, in October 2023, AVEVA introduced AVEVA Advanced Analytics to leverage AI and ML technologies to enhance operational efficiency and achieve sustainability key performance indicators (KPIs).
The industrial analytics industry is segmented into component, analytics type, deployment model, enterprise size, end-use, and region.
Based on component, the market value from the software segment is projected to gain significant traction from 2023-2032. Advanced industrial analytics solutions enable real-time data analysis, predictive maintenance, and process optimization in manufacturing and industrial settings. Leading market participants in these sectors are actively acquiring other firms to augment their expertise and expand their software capabilities, boosting the segment growth. For instance, in August 2022, Infineon Technologies AG strengthened its software and services businesses in AI for predictive analysis involving machinery and industrial equipment by acquiring Berlin-based startup Industrial Analytics.
In terms of end-use, the industrial analytics industry from the manufacturing segment is set to generate considerable revenue through 2032. Manufacturing industries worldwide are increasingly leveraging industrial analytics to optimize production processes, improve efficiency, and reduce operational costs. Moreover, the growing prominence of Industry 4.0 principles will contribute to the rising integration of industrial analytics with many manufacturing businesses striving to stay competitive.
Regionally, the North America industrial analytics market held a sizable revenue share in 2022 and is poised to exhibit robust growth from 2023 to 2032. The presence of advanced manufacturing infrastructure, coupled with the strong emphasis on technological innovations across the region are driving the adoption of industrial analytics solutions. Furthermore, the presence of key industry players, R&D initiatives, and a proactive approach for adopting Industry 4.0 technologies in the U.S., Canada, and other major American countries will accelerate the industry growth.
Table of Contents
250 Pages
- Chapter 1 Methodology & Scope
- 1.1 Market scope & definition
- 1.2 Base estimates & calculations
- 1.3 Forecast calculation
- 1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
- 1.4.2.1 Paid sources
- 1.4.2.2 Public sources
- Chapter 2 Executive Summary
- 2.1 Industrial Analytics market 360 degree synopsis, 2018 - 2032
- 2.2 Business trends
- 2.3 Component trends
- 2.4 Analytics type trends
- 2.5 Deployment model trends
- 2.6 Enterprise size trends
- 2.7 End use trends
- Chapter 3 Industrial Analytics Industry Insights
- 3.1 Impact of COVID-19
- 3.2 Industry ecosystem analysis
- 3.3 Vendor matrix
- 3.4 Profit margin analysis
- 3.5 Technology & innovation landscape
- 3.6 Patent analysis
- 3.7 Key news and initiatives
- 3.7.1 Partnership/Collaboration
- 3.7.2 Merger/Acquisition
- 3.7.3 Investment
- 3.7.4 Level of autonomy launch & innovation
- 3.8 Regulatory landscape
- 3.9 Impact forces
- 3.9.1 Growth drivers
- 3.9.1.1 The proliferation of IoT devices in industrial settings
- 3.9.1.2 Rising emphasis on data-driven decision-making
- 3.9.1.3 Increased demand for predictive maintenance solutions
- 3.9.1.4 The rising growth of the industry 4.0
- 3.9.2 Industry pitfalls & challenges
- 3.9.2.1 Data security concerns
- 3.9.2.2 Inaccurate data can lead to flawed analytics results
- 3.10 Growth potential analysis
- 3.11 Porter's analysis
- 3.12 PESTEL analysis
- Chapter 4 Competitive Landscape, 2022
- 4.1 Introduction
- 4.2 Company market share, 2022
- 4.3 Competitive analysis of major market players, 2022
- 4.3.1 HP Inc.
- 4.3.2 IBM
- 4.3.3 Intel Corporation
- 4.3.4 Microsoft
- 4.3.5 Robert Bosch GmbH
- 4.3.6 Rockwell Automation
- 4.3.7 Siemens
- 4.4 Competitive positioning matrix, 2022
- 4.5 Strategic outlook matrix, 2022
- Chapter 5 Industrial Analytics Market Estimates & Forecast, By Component (Revenue)
- 5.1 Key trends, by component
- 5.2 Hardware
- 5.2.1 Sensors & Actuators
- 5.2.2 Data acquisition systems
- 5.2.3 IoT
- 5.2.4 Edge computing devices
- 5.2.5 Others
- 5.3 Software
- 5.3.1 Operational analytics
- 5.3.2 Risk analytics
- 5.3.3 Financial analytics
- 5.3.4 Marketing Analytics
- 5.3.5 Customer analytics
- 5.3.6 Workforce analytics
- 5.4 Services
- 5.4.1 Professional Services
- 5.4.2 Managed Services
- Chapter 6 Industrial Analytics Market Estimates & Forecast, By Analytics Type (Revenue)
- 6.1 Key trends, by analytics type
- 6.2 Descriptive
- 6.3 Diagnostic
- 6.4 Predictive
- 6.5 Prescriptive
- Chapter 7 Industrial Analytics Market Estimates & Forecast, By Deployment Model (Revenue)
- 7.1 Key trends, by deployment model
- 7.2 On-premises
- 7.3 Cloud
- Chapter 8 Industrial Analytics Market Estimates & Forecast, By Enterprise Size (Revenue)
- 8.1 Key trends, by enterprise size
- 8.2 SMEs
- 8.3 Large Enterprise
- Chapter 9 Industrial Analytics Market Estimates & Forecast, By End Use (Revenue)
- 9.1 Key trends, by end use
- 9.2 Construction & Mining
- 9.3 Manufacturing
- 9.4 Logistics & Transportation
- 9.5 Automotive
- 9.6 Healthcare
- 9.7 Others
- Chapter 10 Industrial Analytics Market Estimates & Forecast, By Region (Revenue)
- 10.1 Key trends, by region
- 10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
- 10.3 Europe
- 10.3.1 U.K.
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Russia
- 10.3.6 Spain
- 10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- Chapter 11 Company Profiles
- 11.1 ABB
- 11.2 AGT International
- 11.3 Cisco Systems, Inc.
- 11.4 General Electric
- 11.5 Hitachi Vanatara
- 11.6 Honeywell International
- 11.7 HP Inc.
- 11.8 IBM
- 11.9 Intel Corporation
- 11.10 Microsoft Corporation
- 11.11 Oracle Corporation
- 11.12 PTC, inc.
- 11.13 Robert Bosch
- 11.14 Rockwell Automation
- 11.15 SAP
- 11.16 SAS Institute
- 11.17 Siemens
- 11.18 Software AG
- 11.19 Splunk
- 11.20 TIBCO Software
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