Food Automation Market Report, Global Industry Analysis, Market Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030

  • Published Date: Jan, 2024
  • Report ID: CR0196151
  • Format: Electronic (PDF)
  • Number of Pages: 206
  • Author(s): Joshi, Madhavi

Report Overview

The Food Automation Market size was estimated at USD 12.5 billion in 2023 and is projected to reach USD 25 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 11.00% during the forecast period (2024-2030).

Food Automation Market

(Market Size)
$12.5 billion
$25 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 11.00%
2023 Market Size USD 12.5 billion
2030 Market Size USD 25 billion
Key Players Rockwell Automation, Siemens, ABB, Schneider Electric, Mitsubishi Electric

Market Summary

The food automation market represents a transformative segment within the food and beverages industry, characterized by the integration of advanced control systems, robotics, and sophisticated software to streamline production processes. This market is driven by the critical need for enhanced food safety, stringent regulatory compliance, and the pursuit of operational efficiency to meet escalating global demand. Automation technologies are deployed across various stages, including processing, packaging, palletizing, and sorting, enabling manufacturers to achieve higher throughput, minimize human error, and ensure consistent product quality. The adoption of these systems is not merely a trend but a strategic imperative for companies aiming to maintain competitiveness in a rapidly evolving marketplace. Key technologies such as programmable logic controllers (PLCs), supervisory control and data acquisition (SCADA) systems, and manufacturing execution systems (MES) form the backbone of modern automated food production lines. As consumer preferences shift towards customized and high-quality products, automation provides the necessary flexibility and precision for manufacturers to adapt quickly. The market is also witnessing a surge in the adoption of collaborative robots and IoT-enabled devices, which facilitate real-time monitoring and data-driven decision-making. This evolution is fundamentally reshaping production methodologies, positioning automation as a cornerstone for future growth and sustainability in the food sector.

Key Highlights

The food automation market is distinguished by several pivotal developments that underscore its strategic importance. A significant highlight is the escalating integration of Industry 4.0 principles, where smart factories leverage IoT, AI, and big data analytics to create interconnected and intelligent production environments. This digital transformation enables predictive maintenance, reduces downtime, and optimizes energy consumption, leading to substantial cost savings. Another critical aspect is the heightened focus on food safety and traceability, with automation systems providing robust solutions to comply with stringent regulations such as the Food Safety Modernization Act (FSMA). Advanced vision systems and sensors are increasingly deployed to detect contaminants and ensure product integrity throughout the supply chain. Furthermore, the rise of flexible automation solutions allows manufacturers to efficiently manage short production runs and frequent product changeovers, catering to the growing demand for product variety and personalization. The market is also characterized by strategic collaborations and mergers among leading automation providers and food giants, accelerating innovation and the deployment of cutting-edge technologies. These highlights collectively emphasize the role of automation in driving efficiency, safety, and adaptability, making it an indispensable element for modern food production facilities.

Drivers, Opportunities & Restraints

The growth of the food automation market is propelled by several powerful drivers, with the paramount need for enhanced food safety and quality control standing at the forefront. Stringent global food safety regulations compel manufacturers to adopt automated systems that minimize human contact and reduce contamination risks. Additionally, the persistent labor shortages in the food industry and rising labor costs are incentivizing investments in robotics and automated machinery to maintain production volumes and control operational expenses. The increasing consumer demand for diverse, high-quality, and freshly prepared food products further drives the need for flexible and precise manufacturing processes that automation uniquely provides. Significant opportunities lie in the expansion of the packaged food sector and the rapid growth of e-commerce, which require efficient, high-speed packaging and sorting solutions. The integration of artificial intelligence and machine learning presents another substantial opportunity for predictive analytics and optimized production scheduling. However, the market faces notable restraints, including the high initial capital investment required for deploying automation systems, which can be a barrier for small and medium-sized enterprises. The complexity of integrating new technologies with legacy equipment and the need for skilled personnel to operate and maintain advanced systems also pose challenges. Moreover, concerns regarding cybersecurity in interconnected industrial environments require robust mitigation strategies to protect sensitive production data.

Concentration Insights

The competitive landscape of the food automation market is characterized by a high degree of concentration, with a mix of established multinational corporations and specialized technology providers dominating the space. Leading companies such as Siemens AG, ABB Ltd., Rockwell Automation, Inc., and Schneider Electric SE hold significant market share due to their extensive product portfolios, global reach, and strong R&D capabilities. These industry giants offer comprehensive automation solutions encompassing control systems, motor drives, and industrial software, catering to the entire food production value chain. The market also features prominent players like Mitsubishi Electric Corporation, Yaskawa Electric Corporation, and Emerson Electric Co., which are renowned for their robotics and process automation expertise. A notable trend is the strategic focus on mergers, acquisitions, and partnerships to enhance technological capabilities and expand geographic presence. For instance, acquisitions aimed at bolstering software and analytics offerings are common. This concentrated nature means that innovation is often driven by these key players, who invest heavily in developing next-generation technologies like collaborative robots and cloud-based platforms. However, this also fosters a competitive environment where continuous innovation and customer-centric solutions are critical for maintaining leadership positions.

Type Insights

Food automation systems are categorized into several key types, each serving distinct functions within the production ecosystem. Motor control systems form a fundamental component, providing precise management of conveyor speeds, mixer operations, and pump functions, which are essential for consistent processing. Programmable Logic Controllers (PLCs) act as the central nervous system of automation, executing logical commands to coordinate machinery and processes based on sensor inputs. Supervisory Control and Data Acquisition (SCADA) systems offer a higher level of oversight, enabling operators to monitor and control entire production lines from a centralized interface, thus improving operational visibility and responsiveness. Another critical type is the Distributed Control System (DCS), typically used in large, continuous processing applications like beverage production or dairy processing, where integrated control over multiple units is required. Robotics represents a rapidly advancing segment, with articulated, SCARA, and collaborative robots being deployed for tasks ranging from precision picking and packing to palletizing and welding. Machine vision systems are increasingly integrated for quality inspection, ensuring products meet specific size, color, and defect-free standards. Each automation type contributes to creating a seamless, efficient, and intelligent manufacturing environment, and their integration is pivotal for achieving end-to-end automation in food facilities.

Application Insights

Automation technologies find diverse and critical applications across the entire food and beverage manufacturing value chain. In processing and sorting, automated systems handle tasks such as cutting, mixing, baking, and washing with unparalleled precision and hygiene, significantly enhancing yield and quality while reducing waste. Packaging and palletizing represent one of the most automated segments, where robotics and automated guided vehicles (AGVs) are extensively used for primary packaging, case packing, and stacking finished goods onto pallets, ensuring high speed and accuracy. In the realm of logistics, warehouse automation, including automated storage and retrieval systems (AS/RS), optimizes inventory management and order fulfillment. Quality control and inspection are another vital application, where machine vision systems and sensors automatically detect foreign materials, measure portions, and verify label accuracy, upholding stringent safety standards. Furthermore, automation is crucial in processing stages like brewing, dairy pasteurization, and confectionery molding, where consistent temperature and pressure control are mandatory. The adoption of automation in these applications not only boosts productivity but also enhances traceability, allowing companies to quickly track and recall products if necessary, thereby strengthening consumer trust and brand reputation.

Regional Insights

The adoption of food automation technologies exhibits distinct regional patterns influenced by economic development, industrial base, and regulatory frameworks. North America, particularly the United States, represents a mature and highly advanced market, driven by strict food safety regulations, high labor costs, and a strong presence of leading automation solution providers. The region is characterized by significant investments in robotics and smart manufacturing technologies. Europe follows a similar trajectory, with countries like Germany, the UK, and France at the forefront, motivated by rigorous EU regulations and a strong focus on sustainability and energy efficiency in production. The Asia Pacific region is anticipated to witness the most rapid growth, fueled by the expanding food processing industry in nations such as China, India, and Japan. Rising disposable incomes, urbanization, and increasing demand for packaged and convenience foods are key growth drivers in APAC. Additionally, government initiatives promoting industrial automation, often referred to as "Industry 4.0" or "Made in China 2025," are accelerating adoption. Meanwhile, Latin America and the Middle East & Africa are emerging markets where automation penetration is gradually increasing, primarily in large-scale processing facilities and multinational corporate plants, aiming to improve export quality and operational scales.

Company Insights

The food automation market is served by a roster of globally recognized companies that provide a wide array of technologies and services. Siemens AG is a dominant force, offering integrated automation solutions from field devices to plant-level software through its SIMATIC and COMOS portfolios, which are widely used for process control and digital twin applications. ABB Ltd. is another key player, renowned for its robotics and electrification solutions, including the YuMi collaborative robot designed for safe human-robot collaboration in packaging tasks. Rockwell Automation, Inc. holds a strong position, particularly in North America, with its integrated control and information solutions that help manufacturers achieve connected enterprise goals. Schneider Electric SE provides comprehensive EcoStruxure solutions that enhance energy efficiency and automation in food production. Mitsubishi Electric Corporation and Yaskawa Electric Corporation are prominent for their motor and robotics offerings, respectively, with Yaskawa's Motoman robots being extensively applied in material handling and packaging. Emerson Electric Co. is a leader in process automation and measurement instrumentation, crucial for sectors like dairy and beverages. These companies compete on technological innovation, reliability, global service networks, and the ability to provide tailored solutions that address the specific challenges of food manufacturers, from small bakeries to large multinational corporations.

Recent Developments

The food automation market is dynamic, with continuous advancements and strategic movements shaping its trajectory. A prominent recent trend is the accelerated development and deployment of collaborative robots (cobots) designed to work safely alongside human operators in tasks like packaging, sorting, and quality inspection, enhancing flexibility without extensive safety caging. Major players have been launching new cobot models with improved payload capacities and vision integration. Another significant development is the deepening integration of Artificial Intelligence and Machine Learning into automation platforms. These technologies enable predictive maintenance, where algorithms analyze equipment data to forecast failures before they occur, drastically reducing unplanned downtime. Furthermore, there has been a surge in partnerships between automation giants and cloud service providers to offer powerful Industrial IoT (IIoT) platforms. These platforms facilitate real-time data collection from machinery across global factories, enabling centralized monitoring and analytics for optimized performance. Sustainability has also become a key focus, with companies developing energy-efficient motors and drives to help food producers reduce their carbon footprint. Additionally, the market has witnessed strategic acquisitions aimed at strengthening software capabilities, particularly in manufacturing execution systems (MES) and enterprise resource planning (ERP) integration, to provide more seamless data flow from the shop floor to the top floor.

Report Segmentation

This comprehensive market research report on the food automation market provides a detailed and structured analysis segmented to offer granular insights. The segmentation is primarily based on type, which includes discrete categories such as motor controls, programmable logic controllers (PLCs), supervisory control and data acquisition (SCADA) systems, distributed control systems (DCS), robotics, and machine vision systems. Each segment is analyzed in terms of its adoption rate, technological trends, and specific applications within the food industry. The report is further segmented by application, covering critical areas like processing, packaging and palletizing, sorting, logistics, and quality control. This allows readers to understand the demand dynamics for automation in each specific function of food production. Geographically, the report provides a thorough regional analysis, segmenting the market into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. Each regional segment examines the local drivers, regulatory environment, key end-user industries, and competitive landscape. Furthermore, the report includes a dedicated segment on the competitive environment, profiling leading companies, their market shares, product offerings, and recent strategic initiatives such as mergers, acquisitions, and new product launches. This multi-faceted segmentation ensures that the report delivers targeted and actionable intelligence for stakeholders across the value chain.

FAQs

What is food automation?

Food automation refers to the use of control systems, machinery, and robotics to operate various processes in food manufacturing and handling with minimal human intervention. This includes activities from processing raw materials to packaging finished goods, aiming to improve efficiency, safety, and consistency.

How does automation help in food safety?

Automation enhances food safety by significantly reducing human contact with products, thereby minimizing the risk of contamination. Automated systems also incorporate advanced inspection technologies like machine vision and X-ray to detect foreign objects and ensure compliance with stringent hygiene standards.

What are the main types of robots used in the food industry?

The food industry primarily utilizes articulated robots for tasks like packaging and palletizing, SCARA robots for high-speed pick-and-place operations, delta robots for precision tasks on packaging lines, and collaborative robots designed to work safely alongside human workers for more flexible applications.

Which food processes are most commonly automated?

Packaging and palletizing are among the most automated processes due to their repetitive nature and need for high speed. Other commonly automated processes include sorting and grading of raw materials, processing like mixing and cooking, and quality control inspection.

What is the role of SCADA in food automation?

SCADA systems play a crucial role in food automation by providing a centralized platform to monitor and control entire production processes in real-time. They collect data from various sensors and equipment, allowing operators to manage efficiency, track production metrics, and respond quickly to any operational issues.

Citius Research has developed a research report titled “Food Automation Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” delivering key insights regarding business intelligence and providing concrete business strategies to clients in the form of a detailed syndicated report. The report details out the factors such as business environment, industry trend, growth opportunities, competition, pricing, global and regional market analysis, and other market related factors.

Details included in the report for the years 2024 through 2030

• Food Automation Market Potential
• Segment-wise breakup
• Compounded annual growth rate (CAGR) for the next 6 years
• Key customers and their preferences
• Market share of major players and their competitive strength
• Existing competition in the market
• Price trend analysis
• Key trend analysis
• Market entry strategies
• Market opportunity insights

The report focuses on the drivers, restraints, opportunities, and challenges in the market based on various factors geographically. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report. The Food Automation Market report is segmented on the basis of various market segments and their analysis, both in terms of value and volume, for each region for the period under consideration.

Food Automation Market Segmentation

Market Segmentation

Regions Covered

• North America
• Latin America
• Europe
• MENA
• Asia Pacific
• Sub-Saharan Africa and
• Australasia

Food Automation Market Analysis

The report covers below mentioned analysis, but is not limited to:

• Overview of Food Automation Market
• Research Methodology
• Executive Summary
• Market Dynamics of Food Automation Market
  • Driving Factors
  • Restraints
  • Opportunities
• Global Market Status and Forecast by Segment A
• Global Market Status and Forecast by Segment B
• Global Market Status and Forecast by Segment C
• Global Market Status and Forecast by Regions
• Upstream and Downstream Market Analysis of Food Automation Market
• Cost and Gross Margin Analysis of Food Automation Market
• Food Automation Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030
  • Competition Landscape
  • Market Share of Major Players
• Key Recommendations

The “Food Automation Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” report helps the clients to take business decisions and to understand strategies of major players in the industry. The report delivers the market driven results supported by a mix of primary and secondary research. The report provides the results triangulated through authentic sources and upon conducting thorough primary interviews with the industry experts. The report includes the results on the areas where the client can focus and create point of parity and develop a competitive edge, based on real-time data results.

Food Automation Market Key Stakeholders

Below are the key stakeholders for the Food Automation Market:

• Manufacturers
• Distributors/Traders/Wholesalers
• Material/Component Manufacturers
• Industry Associations
• Downstream vendors

Food Automation Market Report Scope

Report AttributeDetails
Base year2023
Historical data2018 – 2023
Forecast2024 - 2030
CAGR2024 - 2030
Quantitative UnitsValue (USD Million)
Report coverageRevenue Forecast, Competitive Landscape, Growth Factors, Trends and Strategies. Customized report options available on request
Segments coveredProduct type, technology, application, geography
Regions coveredNorth America, Latin America, Europe, MENA, Asia Pacific, Sub-Saharan Africa and Australasia
Countries coveredUS, UK, China, Japan, Germany, India, France, Brazil, Italy, Canada, Russia, South Korea, Australia, Spain, Mexico and others
Customization scopeAvailable on request
PricingVarious purchase options available as per your research needs. Discounts available on request

COVID-19 Impact Analysis

Like most other markets, the outbreak of COVID-19 had an unfavorable impact on the Food Automation Market worldwide. This report discusses in detail the disruptions experienced by the market, the impact on flow of raw materials, manufacturing operations, production trends, consumer demand and the projected future of this market post pandemic.

The report has helped our clients:

• To describe and forecast the Food Automation Market size, on the basis of various segmentations and geography, in terms of value and volume
• To measure the changing needs of customers/industries
• To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
• To gain competitive intelligence and uncover new opportunities
• To analyse opportunities in the market for stakeholders by identifying high-growth segments in Food Automation Market
• To strategically profile key players and provide details of the current competitive landscape
• To analyse strategic approaches adopted by players in the market, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships

Report Customization

Citius Research provides free customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities.

Customize This Report

Frequently Asked Questions

The Global Food Automation Market size was valued at $XX billion in 2023 and is anticipated to reach $XX billion by 2030 growing at a CAGR of XX%
The global Food Automation Market is expected to grow at a CAGR of XX% from 2023 to 2030.
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Table of Contents

Chapter 1. Introduction
  1.1. Market Scope
  1.2. Key Segmentations
  1.3. Research Objective
Chapter 2. Research Methodology & Assumptions
Chapter 3. Executive Summary
Chapter 4. Market Background
  4.1. Dynamics
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunity
    4.1.4. Challenges
  4.2. Key Trends in the Impacting the Market
    4.2.1. Demand & Supply
  4.3. Industry SWOT Analysis
  4.4. Porter’s Five Forces Analysis
  4.5. Value and Supply Chain Analysis
  4.6. Macro-Economic Factors
  4.7. COVID-19 Impact Analysis
    4.7.1. Global and Regional Assessment
  4.8. Profit Margin Analysis
  4.9. Trade Analysis
    4.9.1. Importing Countries
    4.9.2. Exporting Countries
  4.10. Market Entry Strategies
  4.11. Market Assessment (US$ Mn and Units)
Chapter 5. Global Food Automation Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment A
  5.1. By Segment A, 2024 - 2030
    5.1.1. Sub-Segment A
    5.1.2. Sub-Segment B
  5.2. Opportunity Analysis
Chapter 6. Global Food Automation Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment B
  6.1. By Segment B, 2024 - 2030
    6.1.1. Sub-Segment A
    6.1.2. Sub-Segment B
  6.2. Opportunity Analysis
Chapter 7. Global Food Automation Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment C
  7.1. By Segment C, 2024 - 2030
    7.1.1. Sub-Segment A
    7.1.2. Sub-Segment B
  7.2. Opportunity Analysis
Chapter 8. Global Food Automation Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Region
  8.1. By Region, 2024 - 2030
    8.1.1. North America
    8.1.2. Latin America
    8.1.3. Europe
    8.1.4. MENA
    8.1.5. Asia Pacific
    8.1.6. Sub-Saharan Africa
    8.1.7. Australasia
  8.2. Opportunity Analysis
Chapter 9. North America Food Automation Market Forecast and Trend Analysis
  9.1. Regional Overview
  9.2. Pricing Analysis
  9.3. Key Trends in the Region
    9.3.1. Supply and Demand
  9.4. Demographic Structure
  9.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    9.5.1. Sub-Segment A
    9.5.2. Sub-Segment B
  9.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    9.6.1. Sub-Segment A
    9.6.2. Sub-Segment B
  9.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    9.7.1. Sub-Segment A
    9.7.2. Sub-Segment B
  9.8. By Country, 2024 - 2030, (US$ Mn and Units)
    9.8.1. U.S.
    9.8.2. Canada
    9.8.3. Rest of North America
  9.9. Opportunity Analysis
Chapter 10. Latin America Food Automation Market Forecast and Trend Analysis
  10.1. Regional Overview
  10.2. Pricing Analysis
  10.3. Key Trends in the Region
    10.3.1. Supply and Demand
  10.4. Demographic Structure
  10.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    10.5.1. Sub-Segment A
    10.5.2. Sub-Segment B
  10.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    10.6.1. Sub-Segment A
    10.6.2. Sub-Segment B
  10.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    10.7.1. Sub-Segment A
    10.7.2. Sub-Segment B
  10.8. By Country, 2024 - 2030, (US$ Mn and Units)
    10.8.1. Brazil
    10.8.2. Argentina
    10.8.3. Rest of Latin America
  10.9. Opportunity Analysis
Chapter 11. Europe Food Automation Market Forecast and Trend Analysis
  11.1. Regional Overview
  11.2. Pricing Analysis
  11.3. Key Trends in the Region
    11.3.1. Supply and Demand
  11.4. Demographic Structure
  11.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    11.5.1. Sub-Segment A
    11.5.2. Sub-Segment B
  11.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    11.6.1. Sub-Segment A
    11.6.2. Sub-Segment B
  11.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    11.7.1. Sub-Segment A
    11.7.2. Sub-Segment B
  11.8. By Country, 2024 - 2030, (US$ Mn and Units)
    11.8.1. UK
    11.8.2. Germany
    11.8.3. France
    11.8.4. Spain
    11.8.5. Rest of Europe
  11.9. Opportunity Analysis
Chapter 12. MENA Food Automation Market Forecast and Trend Analysis
  12.1. Regional Overview
  12.2. Pricing Analysis
  12.3. Key Trends in the Region
    12.3.1. Supply and Demand
  12.4. Demographic Structure
  12.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    12.5.1. Sub-Segment A
    12.5.2. Sub-Segment B
  12.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    12.6.1. Sub-Segment A
    12.6.2. Sub-Segment B
  12.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    12.7.1. Sub-Segment A
    12.7.2. Sub-Segment B
  12.8. By Country, 2024 - 2030, (US$ Mn and Units)
    12.8.1. Egypt
    12.8.2. Algeria
    12.8.3. GCC
    12.8.4. Rest of MENA
  12.9. Opportunity Analysis
Chapter 13. Asia Pacific Food Automation Market Forecast and Trend Analysis
  13.1. Regional Overview
  13.2. Pricing Analysis
  13.3. Key Trends in the Region
    13.3.1. Supply and Demand
  13.4. Demographic Structure
  13.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    13.5.1. Sub-Segment A
    13.5.2. Sub-Segment B
  13.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    13.6.1. Sub-Segment A
    13.6.2. Sub-Segment B
  13.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    13.7.1. Sub-Segment A
    13.7.2. Sub-Segment B
  13.8. By Country, 2024 - 2030, (US$ Mn and Units)
    13.8.1. India
    13.8.2. China
    13.8.3. Japan
    13.8.4. ASEAN
    13.8.5. Rest of Asia Pacific
  13.9. Opportunity Analysis
Chapter 14. Sub-Saharan Africa Food Automation Market Forecast and Trend Analysis
  14.1. Regional Overview
  14.2. Pricing Analysis
  14.3. Key Trends in the Region
    14.3.1. Supply and Demand
  14.4. Demographic Structure
  14.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    14.5.1. Sub-Segment A
    14.5.2. Sub-Segment B
  14.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    14.6.1. Sub-Segment A
    14.6.2. Sub-Segment B
  14.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    14.7.1. Sub-Segment A
    14.7.2. Sub-Segment B
  14.8. By Country, 2024 - 2030, (US$ Mn and Units)
    14.8.1. Ethiopia
    14.8.2. Nigeria
    14.8.3. Rest of Sub-Saharan Africa
  14.9. Opportunity Analysis
Chapter 15. Australasia Food Automation Market Forecast and Trend Analysis
  15.1. Regional Overview
  15.2. Pricing Analysis
  15.3. Key Trends in the Region
    15.3.1. Supply and Demand
  15.4. Demographic Structure
  15.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    15.5.1. Sub-Segment A
    15.5.2. Sub-Segment B
  15.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    15.6.1. Sub-Segment A
    15.6.2. Sub-Segment B
  15.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    15.7.1. Sub-Segment A
    15.7.2. Sub-Segment B
  15.8. By Country, 2024 - 2030, (US$ Mn and Units)
    15.8.1. Australia
    15.8.2. New Zealand
    15.8.3. Rest of Australasia
  15.9. Opportunity Analysis
Chapter 16. Competition Analysis
  16.1. Competitive Benchmarking
    16.1.1. Top Player’s Market Share
    16.1.2. Price and Product Comparison
  16.2. Company Profiles
    16.2.1. Company A
      16.2.1.1. Company Overview
      16.2.1.2. Segmental Revenue
      16.2.1.3. Product Portfolio
      16.2.1.4. Key Developments
      16.2.1.5. Strategic Outlook
    16.2.2. Company B
      16.2.2.1. Company Overview
      16.2.2.2. Segmental Revenue
      16.2.2.3. Product Portfolio
      16.2.2.4. Key Developments
      16.2.2.5. Strategic Outlook
    16.2.3. Company C
      16.2.3.1. Company Overview
      16.2.3.2. Segmental Revenue
      16.2.3.3. Product Portfolio
      16.2.3.4. Key Developments
      16.2.3.5. Strategic Outlook
    16.2.4. Company D
      16.2.4.1. Company Overview
      16.2.4.2. Segmental Revenue
      16.2.4.3. Product Portfolio
      16.2.4.4. Key Developments
      16.2.4.5. Strategic Outlook
    16.2.5. Company E
      16.2.5.1. Company Overview
      16.2.5.2. Segmental Revenue
      16.2.5.3. Product Portfolio
      16.2.5.4. Key Developments
      16.2.5.5. Strategic Outlook
    16.2.6. Company F
      16.2.6.1. Company Overview
      16.2.6.2. Segmental Revenue
      16.2.6.3. Product Portfolio
      16.2.6.4. Key Developments
      16.2.6.5. Strategic Outlook
    16.2.7. Company G
      16.2.7.1. Company Overview
      16.2.7.2. Segmental Revenue
      16.2.7.3. Product Portfolio
      16.2.7.4. Key Developments
      16.2.7.5. Strategic Outlook
    16.2.8. Company H
      16.2.8.1. Company Overview
      16.2.8.2. Segmental Revenue
      16.2.8.3. Product Portfolio
      16.2.8.4. Key Developments
      16.2.8.5. Strategic Outlook
    16.2.9. Company I
      16.2.9.1. Company Overview
      16.2.9.2. Segmental Revenue
      16.2.9.3. Product Portfolio
      16.2.9.4. Key Developments
      16.2.9.5. Strategic Outlook
    16.2.10. Company J
      16.2.10.1. Company Overview
      16.2.10.2. Segmental Revenue
      16.2.10.3. Product Portfolio
      16.2.10.4. Key Developments
      16.2.10.5. Strategic Outlook
Chapter 17. Go-To-Market Strategy

Research Methodology

We follow a robust research methodology to analyze the market in order to provide our clients with qualitative and quantitative analysis which has a very low or negligible deviance. Extensive secondary research supported by primary data collection methods help us to thoroughly understand and gauge the market. We incorporate both top-down and bottom-up approach for estimating the market. The below mentioned methods are then adopted to triangulate and validate the market.

Secondary data collection and interpretation

Secondary research includes sources such as published books, articles in journals, news media and published businesses, government and international body publications, and associations. Sources also include paid databases such as Hoovers, Thomson Reuters, Passport and others. Data derived through secondary sources is further validated through primary sources. The secondary sources also include major manufacturers mapped on the basis of revenues, product portfolios, and sales channels.

Primary data collection

Primary data collection methods include conducting interviews with industry experts and various stakeholders across the supply chain, such as raw material suppliers, manufacturers, product distributors and customers. The interviews are either telephonic or face-to-face, or even a combination of both. Prevailing trends in the industry are gathered by conducting surveys. Primary interviews also help us to understand the market drivers, restraints and opportunities, along with the challenges in the market. This method helps us in validating the data gathered through secondary sources, further triangulating the data and developing it through our statistical tools. We generally conduct interviews with -

  • CEOs, Directors, and VPs
  • Sales and Marketing Managers
  • Plant Heads and Manufacturing Department Heads
  • Product Specialists

Supply Side and Demand Side Data Collection

Supply side analysis is based on the data collected from the manufacturers and the product providers in terms of their segmental revenues. Secondary sources for this type of analysis include company annual reports and publications, associations and organisations, government publications and others.

Demand side analysis is based upon the consumer insights who are the end users of the particular product in question. They could be an individual user or an organisation. Such data is gathered through consumer surveys and focused group interviews.

Market Engineering

As a primary step, in order to develop the market numbers we follow a vigorous methodology that includes studying the parent market of the niche product and understanding the industry trends, acceptance among customers of the product, challenges, future growth, and others, followed by further breaking down the market under consideration into various segments and sub-markets. Additionally, in order to cross-validate the market, we also determine the top players in the market, along with their segmental revenues for the said market. Our secondary sources help us to validate the market share of the top players. Using both the qualitative and quantitative analysis of all the possible factors helps us determine the market numbers which are inclined towards accuracy.

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