Industrial Analytics Market Highlights:
The Industrial Analytics Market expected CAGR is about 15.40% approximately from the year 2022 to 2030. The expected USD is 54.7 billion by the end of 2030. Industry analytics are data gathered during the entire production cycle of an industry for pinpointing efficiencies and improving its performance over a period of time. Expansion plans of industry giants and the need for products by consumers and clients can drive its need exponentially. The global industrial analytics market report by Market Research Future (MRFR) considers the impact of the COVID-19 pandemic and the various variables such as drivers, opportunities, and threats for the period of 2022 to 2030 (forecast period).
Advances in connected devices, automation, and industrial internet of things (IIoT) are one of the primary drivers of the market. Benefits of industrial analytics such as improvements in product quality, analytics for customer satisfaction, and rise in profit margins of companies can drive its adoption. Emergence of new companies, changing standards, and rise of faster production due to the growth in population can influence the market growth.
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Competitive Outlook:
• Hitachi
• SAS Institute
• General Electric
• Hewlett Packard Enterprise
• SAP SE
• PTC Inc
• Microsoft Corporation
• Cisco Systems
• Oracle Corporation
• IBM Corporation
are key players of the global industrial analytics market.
Market Segmentation:
The industrial analytics market is segmented on the basis of analytics tools, deployment, organization size, and industry.
On the basis of analytics tools, it is segmented into business intelligence, cognitive analytics, predictive analysis, artificial intelligence, and others. Out of these, the predictive analysis holds the largest share of the market. This generally includes the analytics for the maintenance of machines for which more than 40% organizations consider it pertinent for future production during the forecasted period. Tools such as business intelligence can gain revenue share owing to its importance from the manufacturing perspective.
On the basis of deployment, the segmentation is divided into on premise and on cloud. Industrial analytics being a software enablement platform includes analytics tools requiring huge amount of data to be gathered and interpreted. The on cloud segment is expected to garner revenues owing to major organizations in North America, especially U.S., are implementing the method due to cheaper installation and benefit of data retrieval.
On the basis of size of organizations, the segmentation is segmented into large and small and medium enterprises (SMEs).
On the basis of industrial vertical, the market is segmented into utilities, telecommunication, IT, transportation, retail, and manufacturing. Out of these, the utilities segment including energy and power is expected to grow significantly in the forecasted period. This is majorly due to the increased demand of real time data which can play a major role in handling sudden power outages, load of power, and unpredicted calamities.
Regional Analysis:
The global industrial analytics market considers the regions of North America, Europe, Asia Pacific (APAC), and Rest-of-the-World (RoW). The market is led by North America followed by Europe. This is majorly due to the presence of large analytics organizations in U.S. Presence of various manufacturing, food and beverage manufacturers, and other industrial component manufacturers can drive the market growth. Investments in research and development in the U.S and Canada have adapted to the technology earlier than others.
However, the market growth in APAC is expected to grow significantly over the forecast period. The ease of lockdown rules during the COVID-19 pandemic can lead to the use of cameras for ensuring workers at factories can adhere to preventive measures. The use of IoT solutions as people counters to measure footfall at malls and development of smart analytic solutions can fuel the regional market growth.
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Industrial Analytics Industry Developments:
January:
• GE Digital and Microsoft announce a partnership to accelerate the adoption of industrial analytics.
• IBM launches the Watson IoT Platform for Industrial, a cloud-based platform that helps manufacturers collect, analyze, and act on data from their connected assets.
February:
• SAP announces the launch of its new Industrial Analytics Suite, which helps manufacturers improve their operations by providing insights into their data.
• Schneider Electric launches the EcoStruxure Machine Expert Asset Advisor, a software solution that helps manufacturers predict and prevent machine failures.
March:
• PTC launches ThingWorx Industrial Analytics, a platform that helps manufacturers collect, analyze, and visualize data from their connected assets.
• Aspen Technology acquires Camo Analytics, a Norway-based industrial analytics company.
April:
• ABB launches the ABB Ability Genix Industrial Analytics and AI Suite, a scalable advanced analytics platform that helps manufacturers improve their operations.
• Siemens launches the MindSphere Industrial Analytics Suite, a cloud-based platform that helps manufacturers collect, analyze, and act on data from their connected assets.
May:
• The Industrial Internet Consortium (IIC) releases the Industrial Analytics Reference Architecture, a framework that helps manufacturers use industrial analytics to improve their operations.
• The World Economic Forum releases a report on the future of industrial analytics, which identifies the key trends and challenges that will shape the industry in the coming years.
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