The Future of Manufacturing is Here
Advanced Manufacturing & Technology Expo
01-02-03 May 2025
Yashobhoomi, IICC, Dwarka
New Delhi, India
India’s Focussed Platform for Digital Manufacturing, Industrial IoT, Reverse Engineering,
Data & Analytics, Additive & Advanced Manufacturing Solutions for Suppliers to
Meet Aerospace & Defence, Automotive, Medical & Pharmaceutical,
Energy & Renewable Technologies, Consumer Products and more...
Supporting Association    Co-Located Event
                                                                    www.emanufacturingexpo.com
   About e-Manufacturing Expo 2025                                            What's Different About EME 2025?
India's Focused Show for Robotics, Smart Manufacturing,
                                                                                          The manufacturing execution system
e-Manufacturing, Technologies, Materials, Composites and
                                                                                          (MES) industry in India is estimated to be
Engineering, Product Design                                                               valued at USD 1,189.3 million in 2024.
                                                                                          From 2024 to 2034, sales of
The e-Manufacturing Expo 2025 promises to be a pivotal event for the
Indian manufacturing community, featuring a dynamic three-day                             manufacturing        execution    systems
exhibition and conference dedicated to the latest advancements in                         solutions in India are expected to witness
manufacturing technologies. Attendees will explore essential topics such                  a CAGR of 9.5% and total industry size of
as digitalization, automation, robotics, additive manufacturing (3D                       USD 2,930.3 million by 2034-end.
printing), innovative materials, design, and testing machinery and
software.
This unique forum will bring together leading IT solution providers,                      The      global   digital   manufacturing
offering the Indian manufacturing sector invaluable insights into                          software market was valued at $6.9
cutting-edge products and solutions tailored to meet their aspirations for                billion in 2022, and is projected to reach
smart, agile, lean, and high-volume production.                                           $33.7 billion by 2032, growing at a CAGR
                                                                                          of 17.4% from 2023 to 2032.
By uniting C-level executives, industry leaders, academic experts, and
government representatives, the e-Manufacturing Expo will foster a
collaborative environment aimed at harnessing the power of automated
manufacturing tools. Participants will learn how to optimize cost control,                The global rapid prototyping materials
seamlessly integrate factory processes, reduce expenses, and                              market was USD 634.8 million in 2023 and
accelerate product manufacturing while upholding the highest quality                      is expected to grow at an 18.1% CAGR,
standards.
                                                                                          reaching USD 2,827.3 million by 2032.
                                                                                          North America held a 37.07% share in
Over the course of three action-packed days, Indian manufacturers will
                                                                                          2023.
have the chance to witness firsthand the latest breakthroughs in IT
solutions—including Enterprise Resource Planning (ERP), Manufacturing
Execution Systems (MES), the Industrial Internet of Things (IIoT), and
Computer Integrated Manufacturing (CIM). By attending, they will gain
critical knowledge on leveraging these technologies to significantly                       The global AI in manufacturing market
enhance productivity and drive their operations forward. Don't miss your                  size was valued at USD 8.14 billion in 2019
opportunity to be part of this transformative event!                                      and is projected to reach USD 695.16
                                                                                          billion by 2032, exhibiting a CAGR of
                                                                                          37.7% during the forecast period.
                                                                                          The    global     precision  engineering
                                                                                          machines market size was valued at USD
                                                                                          13.07 billion in 2022 and is expected to
                                                                                          grow at a compound annual growth rate
                                                                                          (CAGR) of 6.8% from 2023 to 2030.
                                                                                          The    global   Computer     Integrated
                                                                                          Manufacturing (CIM) market size is
                                                                                          projected to grow from USD 19.2 billion in
                                                                                          2023 to USD 36.5 billion by 2032,
                                                                                          reflecting a compound annual growth
   E-Manufacturing in India -An overview 2025                                             rate (CAGR) of 7.5%.
   India's manufacturing sector is experiencing a remarkable
   transformation with the rise of smart and digital manufacturing
   technologies, known as Industry 4.0. This involves integrating                         The global industrial laser market size
   innovations such as the Internet of Things (IoT), artificial intelligence               was valued at USD 1.64 billion in 2018 and
   (AI), robotics, and data analytics into manufacturing processes. These                 is projected to reach USD 9.00 billion by
   advancements create intelligent systems where machines, devices,                       2032, exhibiting a CAGR of 11.9% during
   and people communicate seamlessly, leading to increased automation
                                                                                          the forecast period.
   and improved operational efficiency.
   This transformation is not limited to large industries; small and
   medium-sized enterprises (SMEs) in India are also adopting these
   technologies to stay competitive globally. The impact of smart
   manufacturing is substantial, driving innovation, enhancing                            The global reverse engineering market is
   productivity, and generating economic growth. By leveraging these                      expected to reach $7.27 billion by 2028,
   tools, manufacturers can achieve higher efficiency, lower costs, and                     growing at a compound annual growth
   better product quality while quickly responding to market demands.                     rate (CAGR) of 9.1%
   Ultimately, this shift positions India as a potential global
   manufacturing hub, attracting foreign investment and creating job
   opportunities for its workforce.
Focussed Product Solutions for Manufacturing
As a provider of following technology, we encourage you to exhibit at e-Manufacturing Expo 2025 from
1-3 May 2025 at Yashobhoomi, IICC, Dwarka, Delhi
                            Artificial Intelligence (AI) &                                  Industrial Internet of
   Big Data Processing                                      Augmented Reality (AR)                                  Additive Manufacturing
                                 Machine Learning                                              Things (IIoT)
   Nano, Advanced &
                               Robotics/Automation          Laser Machining/Welding          Nanotechnology         Network/IT Integration
   Composite Materials
                              Manufacturing Asset
  Track & Trace Solutions                                          Simulation               System Integration         Cloud Computing
                              Management Solutions
                                                                                                                     Factory Diagnostics,
      Cybersecurity         Data Analytics & Modelling        Precision Engineering            Digital Twins
                                                                                                                    Analytics & Simulation
                                                            Manufacturing Execution        Reverse Engineering       Computer Integrated
    Rapid Prototyping             Laser Solutions
                                                                   Systems                      Solutions           Manufacturing Systems
   Factory Integration         Computer to Machine                                            High Volume           Manufacturing Process
                                                            Virtual Factory Simulation
     Control System                Interfaces                                            Manufacturing Technology   Management Solutions
 Equipment Performance &          AI Solutions for           Blockchain Solutions for      Advanced Equipment       Flexible Manufacturing
    Tracking Solutions            Manufacturing                  Manufacturing                  Control                     Solutions
                                                  Conference Day 1
                                                  01 - May 2025
Session       Session Focus
0800          Registration & Coffee
0855          Welcome Remarks by Conference Chair:
0900 – 0930   Opening Session
0930 – 1000   Building a Roadmap for Smart Manufacturing Transformation
              The future of manufacturing is undeniably smart, connected, and data driven. To thrive in today’s competitive landscape,
              embracing Industry 4.0 technologies—like the Internet of Things (IoT), artificial intelligence (AI), robotics, cloud computing, and
              data analytics—is essential, not optional. A well-crafted smart manufacturing roadmap is crucial for your success. This process is
              not universal; it demands a strategic, phased approach that aligns perfectly with your organization's unique goals and vision.
              Investing in this transformation is key to staying ahead of the curve.
1000 – 1030   The Power of Real-Time Data in Smart Manufacturing
              In the era of Industry 4.0, real-time data is crucial for smarter and more efficient manufacturing. By utilizing advanced
              technologies like IoT, AI, and edge computing, manufacturers can gain valuable insights to optimize production. Embracing
              real-time intelligence not only transforms operations but also provides a competitive edge in a rapidly changing market.
1030 – 1100   Manufacturing Analytics for Enhanced Efficiencies
              In today’s fast-paced industrial landscape, manufacturing analytics is crucial for enhancing efficiency, productivity, and
              sustainability. By converting raw data into actionable insights, manufacturers can optimize operations and reduce costs. This
              approach is not just a tool; it powers the future of smart and sustainable production.
1100 – 1115   Refreshment Break
1115 -1145    Data Contextualization in Modern Manufacturing
              In the era of Industry 4.0, raw data alone isn't enough. Data contextualization is essential for converting unstructured data into
              meaningful insights that enhance decision-making and optimize performance across manufacturing. By linking raw data to
              production lines, machine performance, environmental conditions, and operator actions, manufacturers gain a clearer
              understanding of their operations. This context enables smarter decisions, driving significant improvements and competitive
              advantages.
1145 – 1215   Smart Manufacturing and Cloud Computing
              In the evolving landscape of Industry 4.0, cloud computing is transforming Smart Manufacturing by unlocking remarkable
              efficiency, flexibility, and scalability. By leveraging cloud-based platforms, businesses can seamlessly integrate data, systems, and
              processes, enhancing their production capabilities. As the backbone of Smart Manufacturing, cloud technology connects
              machines, optimizes processes, and supports data-driven decisions. Embracing this technology drives innovation and positions
              manufacturers to achieve operational excellence and build the factories of the future.
1215 – 1245   Benefits of the Industrial Metaverse for Smart Sustainable Manufacturing
              The Industrial Metaverse is not just a concept; it is poised to revolutionize manufacturing, collaboration, and innovation. By
              adopting this immersive digital ecosystem, manufacturers can achieve a smarter, more connected, and sustainable future. With
              advancements in AI, digital twins, and IoT, the Industrial Metaverse will be essential for manufacturers aiming to lead in
              competitiveness and innovation
1245 – 1315   Why is it critical for Smart Manufacturers to Adapt to Emerging GenAI and other AI Technologies?
              To succeed in today's digital industrial landscape, smart manufacturers must take advantage of emerging AI technologies,
              including Generative AI. These technologies offer the tools necessary to improve efficiency, reduce costs, enhance product
              quality, promote innovation, and maintain long-term competitiveness and sustainability in a rapidly changing market.
1315 -1400    Networking & Lunch
1400 -1430    Machine Vision and AI-Powered Inspection Systems
              As AI and machine vision technologies advance, they are poised to revolutionize the landscape of quality control. By mastering
              complex inspections, analyzing vast amounts of data, and seamlessly integrating with Industry 4.0 systems, these innovations will
              empower manufacturers to not only elevate product quality but also boost operational efficiency and minimize waste. By adopting
              these cutting-edge technologies, businesses can secure a competitive advantage and thrive in today's fast-paced market.
1430 -1500    Are Manufacturing Digital Twins ready for Prime-Time?
              While challenges remain in scaling digital twins across manufacturing operations, the technology is now primed for adoption. Many
              companies have already achieved remarkable results in predictive maintenance, operational optimization, & product development.
              As data connectivity improves & costs decline, digital twins will become essential tools for manufacturers seeking enhanced
              efficiency, reduced risk, and a competitive advantage.ttt
                                                  Conference Day 1
                                                  01 - May 2025
1500 – 1530   Increasing Significance of Manufacturing Execution Systems in Modern Manufacturing
              Manufacturing Execution Systems (MES) are rapidly evolving to meet the demands of real-time data, integration, and automation.
              By embracing technologies like Auto-ID, cloud computing, mobile apps, augmented reality, and advanced analytics, MES has
              become essential for Smart Manufacturing. This progress enables manufacturers to create a strong digital thread, conduct precise
              cost analysis, implement consistent processes, and improve decision-making.
1530 – 1600   Strategies to Select the Right MES Solution
              A Manufacturing Execution System (MES) is essential for linking production processes with enterprise systems. Choosing the right
              MES solution is crucial for optimizing operations, enhancing efficiency, and achieving a smart, connected factory in the age of
              Industry 4.0.
1600 -1615    Refreshment Break
1615- 1645    Prevent the Next Catastrophe: Convert Big Data into Big Intelligence
              Transforming Big Data into Big Intelligence is essential for minimizing risks and enabling smarter decision-making. By utilizing
              advanced analytics, AI, and real-time monitoring, organizations can extract valuable insights that enhance safety and boost
              efficiency. In today’s competitive landscape, don’t wait for a crisis—harness the power of Big Intelligence now!
1645 -1715    Lean Manufacturing and Continuous Improvement in the Digital Age
              In the Digital Age, Lean Manufacturing has transformed by leveraging technology and data for Continuous Improvement. By
              combining Lean principles with Industry 4.0 technologies, manufacturers create smarter and more efficient systems. This
              integration fosters a culture where every process, machine, and worker is empowered by technology to excel.
1715 – 1745   Continuous Asset Optimization (CAO) for higher Productivity
              Continuous Asset Optimization (CAO) is a powerful approach to asset management that maximizes profitability and improves
              predictability in product supply. By focusing on the actual margin contribution of assets linked to specific product codes, companies
              can gain valuable insights. Instead of viewing assets as “black boxes” based on market or depreciated value, organizations can
              utilize data models to understand each asset's real-time impact on profitability, leading to informed decisions and enhanced
              performance.
1745          Concluding remarks and end of Day 1
                                            CONFERENCE DAY 2
Session       Session Focus
0800          Registration & Coffee
0855          Welcome Remarks by Conference Chair:
0930 – 1000   Integrating Physical & Digital Systems – The IT/OT Collaboration in Manufacturing
              Integrating digital and physical systems enables manufacturers to innovate rapidly using IoT, Artificial Intelligence, Virtual and
              Augmented Reality, and Collaborative Robots. This evolution transforms humans from passive roles into dynamic, interconnected
              resources, boosting productivity, quality, and efficiency. In this session, we will explore how digitizing data collection and
              transmission opens doors for collaborative automation and increased process flexibility, helping your organization thrive in a
              fast-paced environment.
1000 – 1030   Industrial Applications of Additive Manufacturing: Latest Developments
              Additive Manufacturing (AM), or 3D printing, is transforming the manufacturing sector through rapid prototyping, customization,
              and efficient production. Its ability to create complex, lightweight, and high-performance components is driving innovation across
              multiple industries, from aerospace to healthcare. AM empowers sectors to rethink production strategies, enhance efficiencies, and
              promote sustainability. As materials and technologies advance, AM will continue to reshape manufacturing and ignite innovation,
              solidifying its crucial role in the future of industry.
1030 -1100    Production Process Management in Smart Manufacturing
              Today's manufacturing environment often suffers from information gaps due to enterprise systems like ERP and PLM focusing on
              departmental issues. This narrow approach hampers cross-functional integration. To leverage the benefits of Smart
              Manufacturing, adopting Business Process Management (BPM) and workflow solutions is essential for uniting the enterprise and
              enhancing efficiency.
1100 -1130    Strengthening Trust in the Smart Manufacturing Supply Chain
              To meet customer demands and comply with regulations, food manufacturers are adopting advanced technology solutions. By
              modernizing communication and data flow, they enhance operations and build consumer confidence. The insights gained from
                                                  Conference Day 2
                                                  02 - May 2025
1130 – 1200   Refreshment Break
1200 -1230    Sustainability Imperatives - Transitioning to a Green Factory
              As the manufacturing industry evolves, the need to balance growth with environmental responsibility is critical. Transitioning to a
              Green Factory is essential for creating a sustainable and efficient organization. This shift requires innovative technologies,
              strategic planning, and a strong commitment to sustainability. By leading this transformation, manufacturers can foster a cleaner
              and greener future for everyone.
1230 -1300    Creating Analytics for Difficult to Measure Manufacturing Metrics
              In the manufacturing sector, some performance metrics are notoriously challenging to measure or quantify accurately. These
              "hard-to-measure" metrics, including employee productivity, real-time machine efficiency, and supply chain agility, are essential
              for understanding operational health and making informed decisions. However, traditional data collection and measurement
              methods often struggle to capture these nuanced factors in ways that yield actionable insights.
1300 -1400    Networking Lunch
1400 -1430    Neural Manufacturing: Transforming the Future of Production
              Neural Manufacturing is an emerging concept that combines the principles of artificial neural networks (ANNs) and machine
              learning (ML) with manufacturing processes to optimize operations, improve product quality, and enable more intelligent
              decision-making. By mimicking the way the human brain processes information, neural networks in manufacturing can process vast
              amounts of data from various sources, identify patterns, and make autonomous decisions that improve efficiency, quality, and
              productivity.
1430 -1500    Leveraging Data and Implementing Analytics in a "Zero-Trust" Environment
              In today's digital landscape, the "Zero-Trust" security model is gaining significant traction, especially in industries dealing with
              sensitive information, critical infrastructure, and high-value data. The core principle of Zero-Trust is that no one, whether inside or
              outside the network, should be trusted by default. Every user, device, and system must be authenticated, continuously verified,
              and granted only the least amount of access necessary. However, implementing data analytics in a Zero-Trust environment can
              present unique challenges and requires a careful balance of security and accessibility to insights.
1500 -1530    Connected Plants: The Future of Industrial Operations
              A connected plant refers to a manufacturing facility or industrial environment where various devices, systems, and machines are
              interconnected through digital technologies. This interconnection enables the seamless sharing of data across the entire plant,
              from the shop floor to the management level, enabling better decision-making, improved productivity, and enhanced operational
              efficiency. Connected plants leverage technologies like IoT (Internet of Things), AI (Artificial Intelligence), cloud computing, and
              big data analytics to create a smart, automated, and data-driven ecosystem.
1530 – 1600   AI and Machine Learning in Predictive Maintenance: Revolutionizing Asset Management
              Predictive Maintenance (PdM) is a proactive maintenance strategy that leverages data analysis, machine learning (ML), and
              artificial intelligence (AI) to predict when equipment or machinery is likely to fail or require maintenance. Instead of relying on
              scheduled maintenance or reacting to breakdowns, predictive maintenance allows for timely interventions before costly failures
              occur. By analyzing historical data, real-time sensor data, and patterns of equipment behavior, AI and machine learning enable
              smarter, more efficient asset management.
1600 -1630    Refreshment Break
1630 -1700    Human-Machine Collaboration: A New Era in Industry and Technology
              Human-Machine Collaboration refers to the synergistic relationship between humans and machines, where both work together to
              complement each other's strengths and capabilities. Instead of machines replacing humans, this collaboration allows humans to
              leverage advanced technologies—such as artificial intelligence (AI), robotics, automation, and machine learning (ML)—to augment
              their abilities and enhance productivity, decision-making, and problem-solving.
1700 -1730    Metrics in Smart Manufacturing: Measuring Success in the Digital Age
              Smart manufacturing leverages digital technologies such as IoT (Internet of Things), AI (Artificial Intelligence), machine learning,
              cloud computing, and big data analytics to enhance manufacturing processes, efficiency, and productivity. As manufacturing
              becomes increasingly intelligent, tracking the right metrics is crucial for optimizing operations, improving decision-making, and
              driving continuous improvement.
1730 -1800    Production Process Management in Smart Manufacturing: Optimizing Efficiency and Innovation
              Business processes in today's typical manufacturing environment is, at best, full of information gaps. Within the major enterprise
              level systems such as ERP or PLM most processes are based or focused on departmental issues which means the processes are not
              cross-functional. Business Process Management (BPM) and workflow solutions are a missing link to support Smart Manufacturing
              across the enterprise.
1800          Concluding remarks and end of conference
                                                                                                                                   01-02-03 May 2025
                                                                                                                                   Yashobhoomi, IICC, Dwarka
                                                                                                                                   New Delhi, India
                                                   EXHIBITION SPACE BOOKING FORM
                                                                                                                                       Booking Date
Contact Info.
 Full Name*
 Designation*
 Company / Organisation Name*
 E-Mail id*                                                                                               Mobile No.*
 Address*
 Street*                                                                                                  City/Suburb
 State*                                                                                                   Zip/Post Code*
 Country*
 Opt.      Space Requirements                                                                                              Width (m)     Depth (m)       Sqm      Unit Price*   Subtotal
           Shell Space (Minimum. 9 Sqm INR ₹12,000 Per Sqm*)
           A Standard Octanorm type Shell Scheme with Rear & Side Walls, Colour Fascia with
           Company Name & Booth Number, Wall to Wall Carpeting- color of the Carpet would be
           Advised Subsequently, 1 Power Point (5 Amps), 1 Standard Table & 2 Standard Chairs, 3 Spot
           Lights, 1 Waste Bin.
                                                                                    * GST as Applicable
           Raw Space (Minimum. 36 Sqm INR ₹11,000 Per Sqm*)
           Exhibitors are Required to Build Their Own Stand & Advice to Take Electricity Directly from
           Stand Contractors. Billing of the Same will be Based on Actual Consumption & Need to Pay
           Directly to the Vendor.
                                                                                    * GST as Applicable
           (For Overseas), with GST as Applicable (US $300 Per Sqm)
           Sponsorship Type
                                                                                                                                                         +GST        18%
                                                                                                                                                     Total Cost
           Payable Amount (in Words)
 Mode of Payment: For Booking / Confirmation Advance Cheque / Bank Draft: Made payable to Sustainable Development Leaders Council
 For online remittance:
 Account Type                  :               Current Account
 Account No                    :               923020032095759
 Bank Name                     :               Axis Bank Ltd.
 IFSC Code                     :               UTIB0004138
 SWIFT CODE                    :
 Address                       :               B-93, 3rd Floor, Mayapuri Industrial Area Phase-1, New Delhi-110064
 For and behalf of Exhibitor                                                                                                      Company Stamp and Authorized Signature:
Key Target User Industries
   Aviation,             Automotive,              Medical         Electronics           Energy &              Consumer             Engineered
  Aerospace &             Transport              Devices &           and               Renewable              Electronics           & Capital
   Defence                & Mobility           Pharmaceutical   Semiconductors        Technologies           & Appliances            Goods
  Expect to meet decision makers
  face-to-face
  Key decision makers & professionals across manufacturing
  industries will be attending EME 2025. Job titles include:
     Control Engineering/Automation
     Design Engineers
     Manufacturing Engineering Professionals                                 Learn. Network. Innovate
     Manufacturing Production Professionals
                                                                             e-Manufacturing Expo bangs you a dedicated knowledge
     Owner/Company Management/Corporate Executive                            exchange platform where thought leaders can come together
     Product Design & R&D                                                    for networking and learning opportunities
     Purchasing                                                              We bring you a dedicated conference on 1-3 May 2025 covering:
     Quality Assurance & Control
                                                                                 Additive Manufacturing / 3D Printing
     Sales & Marketing
                                                                                 Collaborative Engineering
  Leveraging advance manufacturing to                                            Rapid Prototyping
  improve factory efficiency                                                       e-Manufacturing Materials, Nano Technology
                                                                                 e-Manufacturing - Intelligence in Manufacturing
     Next-generation operational intelligence
                                                                                 Automation Robotics Manufacturing
     Lignified key performance indicators
                                                                                 Factory automation
     Connected operations and paperless shop floor
                                                                                 Engineering interoperability
     Gaining visibility into suppliers entice quality &
                                                                                 Alternative Manufacturing & Small Batch Manufacturing
     Manufacturing Metros
     Track assets in real-time                                                   Digital Things
     Predictive analytics                                                        Semiconductor
     Real-time asset health monitoring                                           AI, ML Blockchain & Cloud Compounding
                                                                                 Collaborative Engineering
Job Functions
 IT- CTO, CAD, CAM, Designer Prototyping, Digital Printing
 Management - Managing Director, CEO, Director, General Manager, Owner
 Production & Engineering - Head of Engineering & Technical
 Production Manager, Plant Manager Operations, Manager Maintenance Manager, Factory Floor Manager, Research & Development Manager
Participate As:                                                                                                     Organised by
Sponsor | Exhibitor | Delegate | Speaker
Ajay Tiwari | Mob:- +91 9205566504 | +91 9899031349
Email:- ajay@infinityexpo.in | Website:- www.emanufacturingexpo.com