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Global Machine Vision Camera Market to reach USD xx billion by the end of 2030

Global Machine Vision Camera Market Size study & Forecast, by Type (Inline, Area Scan). by End-user Industries (Electronic & Semiconductor, Automotive, Healthcare, Food Processing, Aerospace, Other End-user Industries), and Regional Analysis, 2023-2030

Product Code: EESC-82338032
Publish Date: 5-12-2023
Page: 200

Global Machine Vision Camera Market is valued at approximately USD xx billion in 2022 and is anticipated to grow with a healthy growth rate of more than 9% over the forecast period 2023-2030. A machine vision is a specialized digital imaging device tailored for deployment in industrial and automation settings, specifically within the realm of machine vision. Machine vision encompasses the technology enabling computers to analyze and make decisions based on visual data from the physical world. These cameras assume a pivotal role in the acquisition of images or video footage of objects, components, or scenes and subsequently apply computational processes to this visual data, facilitating a multitude of tasks including quality assessment, inspection, measurement, and automation. It is used to capture images or video footage of objects or scenes for analysis, inspection, measurement, and control purposes. The Machine Vision Camera Market is expanding because of factors such as increased demand for autonomous vehicles and increasing demand for quality inspection and automation in different industrial verticals.

The surge in adoption in autonomous vehicles is playing a vital role in the market growth across the globe. Machine vision is gaining high popularity in the development of autonomous vehicles, where cameras are used for navigation, object detection, and situational awareness. According to the Statista, in 2019, it was estimated that about 1.4 million autonomous vehicles with at least Level 3 autonomy are sold around the world, which is projected to rise for more than 58 million autonomous vehicles by 2030. Additionally, the market for machine vision cameras is propelled by the increasing integration of cutting-edge technologies across diverse industries. This adoption has garnered momentum, particularly in real-time traffic monitoring using machine vision. Additionally, image recognition capabilities are facilitating the automation of tasks within control rooms and enabling proactive measures in various situations. Moreover, advancement in deep learning and artificial intelligence can improve its growth in forecast years. However, it has high initial costs which are negative for its development.

The key regions considered for the Global Machine Vision Camera Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa.
The substantial market share and regional expansion is attributed to the appealing prospects presented in the Asia Pacific region, particularly in sectors such as automotive, packaging, pharmaceuticals, and various other industrial applications. Also, Europe is estimated to grow significantly over the forecast period of 2022-2030. The surge in investments and financial support for the semiconductor sector is creating favorable conditions for the widespread adoption of automation technology. This, in turn, is poised to generate a heightened demand for connectors in the semiconductor industry. These systems find application across a diverse array of industry sectors, including oil and gas, aerospace, transportation, and automotive, effectively addressing their inspection requirements through available variations such as PC-based and smart camera-based Machine Vision Cameras.

Major market player included in this report are:
Cognex Corporation
Keyence Corporation
Teledyne Technologies Incorporated
TKH Group
Omron Corporation
Nation Instruments Corporation
Intel Corporation
Sony Group Corporation
Hitachi Ltd

Recent Developments in the Market:
Ø In May 2023, Teledyne DALSA, a Teledyne Technologies subsidiary, officially announced the commencement of production for its Linea 2 4k Multispectral 5GigE line scan camera. This cutting-edge camera represents a significant advancement in vision systems, delivering exceptional performance and value by introducing a 5GigE interface, boasting five times the bandwidth of its predecessor, the Linea GigE camera.

Global Machine Vision Camera Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, End-user Industries, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Area Scan

By End-user Industries:
Electronic & Semiconductor
Food Processing
Other End-user Industries

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Machine Vision Camera Market, by Region, 2020-2030 (USD Billion)
1.2.2. Machine Vision Camera Market, by Type, 2020-2030 (USD Billion)
1.2.3. Machine Vision Camera Market, by End-use Industries, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Machine Vision Camera Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Machine Vision Camera Market Dynamics
3.1. Machine Vision Camera Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising demand for autonomous vehicles Increasing demand for quality inspection and automation in different industrial verticals
3.1.2. Market Challenges High Initial Investment Integration and Compatibility
3.1.3. Market Opportunities Rapid advancements in deep learning and artificial intelligence Increase Demand for Quality Control
Chapter 4. Global Machine Vision Camera Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Machine Vision Camera Market, by Type
5.1. Market Snapshot
5.2. Global Machine Vision Camera Market by Type, Performance – Potential Analysis
5.3. Global Machine Vision Camera Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Machine Vision Camera Market, Sub Segment Analysis
5.4.1. Inline
5.4.2. Area Scan
Chapter 6. Global Machine Vision Camera Market, by End-use Industries
6.1. Market Snapshot
6.2. Global Machine Vision Camera Market by End-use Industries, Performance – Potential Analysis
6.3. Global Machine Vision Camera Market Estimates & Forecasts by End-use Industries 2020-2030 (USD Billion)
6.4. Machine Vision Camera Market, Sub Segment Analysis
6.4.1. Electronic & Semiconductor
6.4.2. Automotive
6.4.3. Healthcare
6.4.4. Food Processing
6.4.5. Aerospace
6.4.6. Other End-user Industries
Chapter 7. Global Machine Vision Camera Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Machine Vision Camera Market, Regional Market Snapshot
7.4. North America Machine Vision Camera Market
7.4.1. U.S. Machine Vision Camera Market Type breakdown estimates & forecasts, 2020-2030 End-use Industries breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Machine Vision Camera Market
7.5. Europe Machine Vision Camera Market Snapshot
7.5.1. U.K. Machine Vision Camera Market
7.5.2. Germany Machine Vision Camera Market
7.5.3. France Machine Vision Camera Market
7.5.4. Spain Machine Vision Camera Market
7.5.5. Italy Machine Vision Camera Market
7.5.6. Rest of Europe Machine Vision Camera Market
7.6. Asia-Pacific Machine Vision Camera Market Snapshot
7.6.1. China Machine Vision Camera Market
7.6.2. India Machine Vision Camera Market
7.6.3. Japan Machine Vision Camera Market
7.6.4. Australia Machine Vision Camera Market
7.6.5. South Korea Machine Vision Camera Market
7.6.6. Rest of Asia Pacific Machine Vision Camera Market
7.7. Latin America Machine Vision Camera Market Snapshot
7.7.1. Brazil Machine Vision Camera Market
7.7.2. Mexico Machine Vision Camera Market
7.8. Middle East & Africa Machine Vision Camera Market
7.8.1. Saudi Arabia Machine Vision Camera Market
7.8.2. South Africa Machine Vision Camera Market
7.8.3. Rest of Middle East & Africa Machine Vision Camera Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Cognex Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Keyence Corporation
8.3.3. Teledyne Technologies Incorporated
8.3.4. TKH Group
8.3.5. Basler AG
8.3.6. Omron Microscan Systems, Inc.
8.3.7. Nation Instruments Corporation
8.3.8. Intel Corporation
8.3.9. Sony Group Corporation
8.3.10. Hitachi Ltd
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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