The global market for Enterprise Manufacturing Intelligence is projected to reach US$5.2 billion by 2025, driven by the growing focus on improving manufacturing competitiveness against the backdrop of factors such as dynamic market environments, rapidly changing consumer needs and expectations, growing proficiency of competitors, cost pressures and disruptive rise of myriad technology options. The competitive load on the manufacturing sector is intensifying as the era of globalization creates boundary less business and trade transactions. In the face of low cost competition from China, manufacturing companies in North America, Europe and Southeast Asia are feeling the urgent need for improve their manufacturing competitiveness. And key in this regard is the use of business intelligence (BI) tools to assimilate data and generate insights that can improve production processes and productivity. Given that the manufacturing industry has inherently complex, multiple, convoluted operational processes and networks, efficient management and monitoring has always been a challenge. The emergence of Industrial Internet of Things (IIoT), better known as Industry 4.0, has further amplified this challenge and has pushing up the importance of manufacturing intelligence. Under this scenario it is important for companies to transform and adopt data-driven approaches by utilizing big data and data analysis tools.

Benefiting from the manufacturing industrys rapid transformation into the most data-intensive industries is enterprise manufacturing intelligence. In an increasingly mixed mode manufacturing scenario, enterprise manufacturing intelligence helps integrate Manufacturing Execution System (MES), Quality Management System (QMS), Advanced Planning and Scheduling (APS), Laboratory Information Management System (LIMS), Enterprise Resource Management (ERP), into a single platform for analysis. The combined data is wholesome and contextualized to enable effective & rapid decision-making. Actionable analytics generated by manufacturing intelligence helps implement, quantify and justify operational improvements, while the deeper holistic insights are especially important for pharmaceutical, biotech and medical device industries, where product safety and regulatory compliance are vital factors for business success. At the plant level, enterprise manufacturing intelligence can be used to improve collaboration and data exchange between the shop floor and enterprise system.  Technology innovations have made the software architecture of manufacturing intelligence easy to install, flexible to deploy and implement, and cost-effectively be centralized for higher visibility at the enterprise level. They also come with powerful features that enable customization and are designed to supports different technology platforms.

The United States and Europe represent the largest markets worldwide with a combined share of 57.9%. China ranks as the fastest growing market with a 19.7% CAGR over the analysis period supported by the changing attitude of the countrys massive mostly conventional manufacturing sector towards BI. The Chinese manufacturing and production sector is tactically implementing long-term digitalization strategies to achieve manufacturing success both locally and internationally. Illustrative of this is the fact that the domestic digital sector contributes over 6% to the countrys overall GDP. Asia-Pacific excluding China follows next with a 19.1% CAGR led by India and other Southeast Asian countries.