[188 Pages Report] The Smart Manufacturing Market size was estimated at USD 207.02 billion in 2023 and expected to reach USD 226.50 billion in 2024, at a CAGR 13.14% to reach USD 491.40 billion by 2030.

Smart manufacturing refers to an advanced approach to production that utilizes integrated, data-driven intelligence to improve manufacturing efficiency, productivity, and flexibility. At its core, smart manufacturing is the combination of operational technology (OT) and information technology (IT) within an Internet of Things (IoT) framework. This convergence enables a highly interconnected manufacturing ecosystem where machinery and equipment can self-optimize through real-time data exchange and analytics. Rising demand for software systems that reduce time and cost and supportive regulations and policies that encourage modernization of the manufacturing process foster market growth. However, high initial investment costs for adopting smart technologies and security risks associated with IoT and cloud-based systems may impede market growth. Nevertheless, rising emphasis on supply chain optimization and the adoption of digital twins, where virtual replicas of physical devices are used for simulation and analysis, is anticipated to create potential opportunities for the smart manufacturing market growth.

Technology: Burgeoning utilization of discrete control systems to manage and control individual parts production

3D printing, or additive manufacturing, refers to various processes to create three-dimensional objects by layering material under computer control. It is used in smart manufacturing to produce complex geometries, rapid prototyping, and customization of products. Discrete control systems manage and control the production of individual parts in manufacturing. These systems include robotic controllers and automation systems tailored for repetitive and precise tasks. Enterprise Resource Planning (ERP) systems integrate all facets of an enterprise into one complete information system that individuals across the organization can access. They encompass modules including finance, HR, production, and supply chain. Human Machine Interface (HMI) encompasses the devices and interfaces that allow human operators to interact with and control machines and automation systems. HMIs can range from simple screens to sophisticated interactive panels. Machine Execution Systems (MES) software controls and monitors production in real time, bridging the gap between plant floor operations and enterprise systems. MES solutions manage workflows, ensure quality compliance, and track production. Machine vision systems utilize cameras, processors, and software algorithms to automate complex visual inspections, guidance, and analysis tasks in manufacturing processes. Plant Asset Management (PAM) systems oversee the optimization and usage of manufacturing assets to improve uptime, asset longevity, and operational performance. Product Lifecycle Management (PLM) is a methodical process of handling the series of changes a product moves through, from its design and development to its ultimate retirement or disposal. A programmable logic controller (PLC) is a computer control system that constantly scans the state of input devices and drives decisions based on a custom program to control the state of output devices. Supervisory Control and Data Acquisition (SCADA) is a system of hardware and software elements that permits industrial organizations to control processes locally or at remote locations and monitor, gather, and process real-time data.

End User: Evolving adoption of smart manufacturing in automotive industry

In the aerospace and defense industry, smart manufacturing is critical for managing complex production processes, ensuring precision in component fabrication, and maintaining stringent regulatory compliance. Need-based preferences include advanced robotics, artificial intelligence for predictive maintenance, and additive manufacturing for producing complex parts. Smart farming tools are actively being incorporated into the agriculture industry. The need-based preferences include precision agriculture tools, IoT for crop monitoring, and automated machinery for planting and harvesting. The automotive industry is transforming significantly, with smart manufacturing at its core. Key preferences are cyber-physical systems, extended reality (XR) for design and training, and intelligent automation. In the chemical and materials industry, smart manufacturing improves safety, reduces environmental impact, and increases quality control. The segment craves advanced analytic tools for process optimization, closed-loop systems, and agile production methods. The food and beverage sector increasingly relies on smart manufacturing to ensure food safety, traceability, and sustainability. Preferences include automation in packaging, real-time supply chain analytics, and energy-efficient systems. Smart manufacturing in mining focuses on safety enhancements, operational efficiency, and reducing environmental impact. There is increasing use for autonomous haul trucks, real-time geological data analysis, and energy management systems. Smart manufacturing is essential for risk management, maximizing resource extraction, and optimizing supply chains in oil and gas. The industry favors high-performance computing for seismic exploration, digital twinning of rigs, and predictive analytics. The pharmaceutical industry’s primary needs for smart manufacturing revolve around compliance regulation, product quality, and expedited drug development. Technologies such as continuous manufacturing, robotics, and AI for drug discovery are in high demand. The pharmaceutical industry’s primary needs for smart manufacturing revolve around compliance regulation, product quality, and expedited drug development. Technologies such as continuous manufacturing, robotics, and AI for drug discovery are in high demand.

Regional Insights

In the Americas, smart manufacturing is driven by the quest for efficiency and productivity, significant investments in industrial automation, artificial intelligence, and the Industrial Internet of Things (IIoT). Recent patents have shown innovation in predictive maintenance, cyber-physical systems, and robotics. Major research initiatives, such as those by the National Institute of Standards and Technology (NIST), continue to underpin the development of industry standards and best practices. Government initiatives, such as the Investing in Canada Plan, are expected to fund new smart manufacturing technologies that could enhance competitiveness and reduce environmental footprints. In the EU, customer needs are highly sophisticated, strongly emphasizing compliance with strict regulatory standards and sustainability. Smart manufacturing is a crucial enabler for greater resource efficiency and customization capabilities. The Middle East and Africa have shown increasing interest in diversifying away from oil dependence, with smart manufacturing seen as pivotal in this transition. There is a growing focus on developing sectors such as aerospace, defense, and automotive manufacturing, with initiatives including Saudi Arabia’s Vision 2030 incorporating smart factories to enhance productivity and create high-value jobs. Initiatives such as the African Union’s Agenda 2063 envision a transformed continent with robust and sustainable industries. The customer purchasing behavior focuses on basic technology adoption and process improvements. However, infrastructure and skills development investments are critical for the region to harness the full potential of smart manufacturing. The Asia-Pacific region is distinguished by its rapid adoption of smart manufacturing technologies, led by countries such as China, Japan, and India, demonstrating unique consumer needs and purchasing behaviors. Countries in the Asia-Pacific possess enormous manufacturing sectors that are rapidly transforming through government initiatives, including "Made in China 2025", "Society 5.0," and "Make in India" campaigns. With a pressing need to overcome labor shortages and enhance product quality, manufacturers heavily invest in robotics, AI, and 5G technologies.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Smart Manufacturing Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Smart Manufacturing Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Smart Manufacturing Market, highlighting leading vendors and their innovative profiles. These include 3D Systems Corporation, ABB Ltd., Altair Engineering, Inc., Andea Solutions Sp. z o.o., Augury Inc., Bright Machines, Inc., Cisco Systems, Inc., Cognex Corporation, Emerson Electric Co., Epicor Software Corporation, Fanuc Corporation, Fruitcore Robotics GmbH, Fujitsu Limited, General Electric Company, General Vision Inc., Honeywell International Inc., International Business Machines Corporation, Mitsubishi Electric Corporation, Nvidia Corporation, Oracle Corporation, Path Robotics, Inc., Progress Software Corporation, Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, SparkCognition, Inc., Stratasys Ltd., Telefonaktiebolaget LM Ericsson, Texas Instruments Incorporated, Xometry Europe GmbH, and Yokogawa Electric Corporation.

Market Segmentation & Coverage

This research report categorizes the Smart Manufacturing Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Technology
    • 3D Printing
    • Discrete Control Systems
    • Enterprise Resource Planning
    • Human Machine Interface
    • Machine Execution Systems
    • Machine Vision
    • Plant Asset Management
    • Product Lifecycle Management
    • Programmable Logic Controller
    • SCADA
  • Component
    • Hardware
    • Services
    • Software
  • End User
    • Aerospace & Defence
    • Agriculture
    • Automotive
    • Chemical & Materials
    • Food & Beverage
    • Mining
    • Oil & Gas
    • Pharmaceutical
    • Semiconductor

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects:

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

  1. What is the market size and forecast of the Smart Manufacturing Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Smart Manufacturing Market?
  3. What are the technology trends and regulatory frameworks in the Smart Manufacturing Market?
  4. What is the market share of the leading vendors in the Smart Manufacturing Market?
  5. Which modes and strategic moves are suitable for entering the Smart Manufacturing Market?