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Machine Translation Market Size to Touch USD 4,069.5 Million By 2030

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TOKYO, Jan. 24, 2023 (GLOBE NEWSWIRE) — The Global Machine Translation Market Size gathered USD 812.6 Million in 2021 and is set to garner a market size of USD 4,069.5 Million by 2030 growing at a CAGR of 19.9% from 2022 to 2030.

Machine Translation Market Overview

The machine translation market is associated with the industry and commercial applications of technology that utilizes algorithms and artificial intelligence to automatically translate written or spoken text from one language to another. This technology is based on various machine learning techniques, such as statistical machine translation, neural machine translation, and rule-based machine translation.

Statistical machine translation (SMT) utilizes large amounts of parallel corpora, or text data in different languages, to train the system to recognize patterns and relationships between languages. This method relies on the assumption that words or phrases that are often used together in one language will have a similar translation in another language.

Neural machine translation (NMT) uses deep learning algorithms, such as recurrent neural networks (RNNs) and transformer models, to train the system to understand the context and meaning of the text. This method has been shown to be more accurate than SMT, especially in handling more complex sentences and idiomatic expressions.

Rule-based machine translation (RBMT) utilizes a set of predefined rules and dictionaries to translate text. This method is typically used for specialized or technical language, such as legal or medical documents.

The machine translation market is expected to continue growing in the coming years, driven by the increasing demand for multilingual content in various industries, such as e-commerce, media, and travel. Additionally, advances in natural language processing (NLP) and machine learning will continue to improve the accuracy and fluency of machine translation.

Machine Translation Market Highlights and Statistics

  • The global Machine Translation market size in 2021 stood at USD 812.6 Million and is set to reach USD 4,069.5 Million by 2030, growing at a CAGR of 19.9%
  • The adoption of cloud-based machine translation services and the increasing demand for multilingual content in numerous industries including e-commerce, media, and travel, is driving the growth of the market..
  • The Asia-Pacific machine translation market share is expected to grow at the fastest CAGR over the forecast period, due to high demand for machine translation services in fast growing countries like China and India.
  • The market is dominated by key players such as Google, Microsoft, IBM, SDL, and Amazon Web Services.
  • Healthcare industry is one of the largest contributor to the growth opportunities for the market.
  • The increasing use of machine translation in the legal sector as well as the education sector is also expected to provide growth opportunities for the market.
  • The high costs associated with machine translation services is expected to be a major challenge for the market.

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Machine Translation Market Report Coverage:

Market Machine Translation Market
Machine Translation Market Size 2021 USD 812.6 Million
Machine Translation Market Forecast 2030 USD 4,069.5 Million
Machine Translation Market CAGR During 2022 – 2030 19.9%  
Machine Translation Market Analysis Period 2018 – 2030
Machine Translation Market Base Year 2021  
Machine Translation Market Forecast Data 2022 – 2030
Segments Covered By Technology, By Application, By Deployment Type, And By Geography
Machine Translation Market Regional Scope North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
Key Companies Profiled AppTek LLC, AWS, Alibaba Cloud, Baidu, Cloudwords Inc., Google LLC (Alphabet Inc.), IBM Corporation, Lionbridge Technologies, Inc., Microsoft Corporation, PROMT, Smart Communications, Inc., Tencent Cloud TMT, Raytheon BBN Technologies Corp, Systran International.
Report Coverage Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis

Trends in the Machine Translation Market

  • The increasing demand for multilingual communication and the need for translation in various industries, such as healthcare, e-commerce, gaming, and travel, are driving the market growth.
  • Adoption of Neural machine translation: This is a type of machine translation that uses deep learning algorithms to improve the accuracy of the translations. It has become the dominant method for machine translation in recent years.
  • Another trend is the rise of machine translation platforms and tools that are designed to be integrated into other applications and systems, such as customer service chatbots, content management systems, and e-commerce platforms. This allows businesses to easily add multilingual capabilities to their existing systems, improving communication with customers and expanding their reach to new markets.
  • Additionally, there is a growing interest in using machine translation to support low-resource languages, which are not widely spoken or studied, but are still used by many people around the world. This is expected to increase in the future.
  • Adversarial training: This is a technique that involves using a second neural network to try and fool the primary machine translation system. This helps to improve the robustness of the system and make it less likely to produce errors.
  • Integration with other technologies: Machine translation is increasingly being integrated with other technologies such as voice recognition, chatbots, and augmented reality to create more natural and seamless user experiences.

Machine Translation Market Dynamics

Multilingual models: There is a growing trend towards creating machine translation models that can handle multiple languages. This makes it easier for companies to translate their content into multiple languages without having to maintain separate models for each language.

Customization and personalization: Machine learning models are increasingly being customized and tailored to specific industries and use cases. This allows companies to improve the accuracy of translations for their specific domain.

Real-time Machine Translation: With the growing need of conversational AI, real-time machine translation is becoming a norm.

Advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies: The increasing use of AI and NLP technologies in machine translation has led to improvements in the accuracy and speed of translations.

Rising use of mobile devices: The increasing use of mobile devices has led to a growing demand for machine translation software and apps, as they allow users to translate content on the go.

Government support and funding: Governments around the world are providing funding and support for the development and adoption of machine translation technologies.

Cost-effective solution: Machine translation is a cost-effective solution for small and medium-sized businesses that may not have the resources to hire human translators.

Machine Translation Market Growth Hampering Factors

Limited language coverage: Machine translation is only effective for a limited number of languages.

Quality of translation: The quality of machine translation is often not as good as that of human translation, which can be a major hindrance to market growth.

High costs: The cost of developing and maintaining machine translation systems can be quite high, which can be a barrier for some companies.

Technical challenges: There are many technical challenges associated with machine translation, such as dealing with different writing systems, idiomatic expressions, and cultural differences.

Privacy and security concerns: Machine translation systems may process sensitive information, which can raise privacy and security concerns for some users.

Dependency on human translators to improve the machine translated text.

Other factors include lack of standardization in the industry, limited ability to translate idiomatic phrases and colloquial language, difficulty in translating languages with different grammatical structures, limited ability to translate idiomatic phrases and colloquial language.

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Market Segmentation

Type of Technology:

  • Rule-based
  • Example based
  • Statistical
  • Hybrid machine translation
  • Neural machine translation.

Application

  • E-commerce
  • Automotive
  • IT and Telecom
  • Healthcare
  • BSFI
  • Legal
  • Government
  • Electronics
  • Others

Deployment:

  • On-premise
  • Cloud-based deployment.

Machine Translation Market Overview by Region

The global market for machine translation is a rapidly growing industry, with regions such as North America and Europe leading the way in terms of adoption and investment.

  • In North America, major players in the field include large technology companies like Google and Microsoft, as well as start-ups such as SDL and Iconic. These companies are focusing on developing advanced neural machine translation (NMT) technology, which utilizes deep learning algorithms to improve the accuracy and fluency of translations.
  • In Europe, the machine translation market size is driven by a strong demand for machine translation in industries such as e-commerce and travel. Companies like SDL, Smartling, and MemoQ are popular choices among European businesses looking to expand their reach and improve their localization efforts. Additionally, the European Union has invested heavily in machine translation research and development, with the goal of creating a multilingual digital single market.
  • In Asia, the machine translation market share is predicted to see excellent growth in the coming years, driven by the increasing adoption of artificial intelligence and the rising demand for multilingual content. Countries such as China and Japan are home to major players in the field, including companies like Baidu and Yandex. These companies are focused on developing machine translation solutions for a wide range of industries, including finance, healthcare, and retail.
  • In South America and the MEA region, the machine translation market share is quite new and still in its early stages of development. However, countries are beginning to see an increase in demand for machine translation services in industries such as e-commerce and customer service.

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Machine Translation Market Key Players

Some major players in the machine translation market include Google Translate, Microsoft Translator, Amazon Translate, IBM Watson Language Translator, and DeepL. Other companies and organizations that offer machine translation services or products include SDL, Iconic, Lilt, Systran, Baidu Translate, Yandex.Translate, PROMT, Translate Now, Lingua Custodia, Smartling, Unbabel, Transfluent, Reverso, Translate Plus, The Translation People, and Lionbridge AI Translation Services.

Browse More Research Topic on Technology Related Reports:

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The Global Network Security Market Size accounted for USD 31,652 Million in 2021 and is estimated to achieve a market size of USD 84,457 Million by 2030 growing at a CAGR of 11.7% from 2022 to 2030.

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Artificial Intelligence

Free Your Hands, QIDI Vida Smart AR Glasses Lead the Way in New Sports Experience.

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NEW YORK, April 19, 2024 /PRNewswire/ — Outdoor smart AR glasses, QIDI Vida, will officially launch on 23rd April on the Kickstarter platform.  QIDI Vida integrates the many functions of smart watches, sports headphones, cycling computers, heart rate monitors, and walkie-talkies using AR+AI technology, allowing users to bid farewell to cumbersome device management and enjoy outdoor sports anytime, anywhere with just one pair of glasses.

 
Function:
QIDI Vida uses high-tech HUD (Head-Up Display) which is similar to the technology used for aircrafts and premium cars and introduces it to the sports industry. Users can activate the HUD function at any time using voice control, enabling them to focus on the route ahead whilst simultaneously having access to information such as navigation, speed, heart rate, power and cadence, among other metrics. Another great function of the QIDI Vida is that users can also enjoy audiovisual entertainment through the optically perceived 100-inch AR  HUD screen, when having some down time. 
As cyclists and hikers often travel in groups, QIDI Vida supports eSIM and team functionality, allowing real-time voice communication without releasing handlebars, and users can monitor their groups’ real-time locations. The glasses also have comprehensive sensing and monitoring capabilities including temperature, humidity, UV, air pressure, geomagnetism and acceleration. In addition to obtaining environmental and health information, it also features health warnings such as altitude sickness symptoms and high heart rate, as well as fall and collision detection functions. And, in the event of danger, it can send distress signals to teammates.
Perks:
QIDI Vida has a global voice recognition and interaction feature that allows you to control all functions within the device by voice. To better provide users with an immersive sports experience, QIDI Vida’s intelligent system will have the capability to instantly gather personalised sports data, enabling it to deliver timely voice alerts and broadcasts, including the duration of exercise, distance, the environment and the weather – all tailored to the user’s preferences.
QIDI Vida enables voice-controlled photos and video recordings, allowing users to capture moments whilst cycling or hiking without the need to stop. QIDI Vida supports connections with common cycling smart hardware such as Garmin, Wahoo, Apple, and Samsung, supports GPX route files, and is compatible with professional sports apps such as Strava, Keep, Zwift, Apple Health, and All Trails.
QIDI Vida stands out for its lightweight and comfortable design with a dual lens for a full-colour data display, unlike competing AR glasses that typically have a single lens and limited colour. This innovation significantly enhances and augments the user’s sports and reality experience.
QIDI Vida will launch on the Kickstarter platform: https://www.kickstarter.com/projects/109560964/qidi-vida-smart-ar-glasses-for-sports
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Risk Analytics Market worth $180.9 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, April 19, 2024 /PRNewswire/ — The growing use of real-time monitoring and advanced analytics, integration with cutting-edge technologies like blockchain and IoT, and an emphasis on cybersecurity, cross-industry applications, and regulatory compliance are the key factors that will shape the risk analytics market in the future. The market’s development will also be influenced by collaborative risk management, improved user experience, and an increasing focus on ESG factors and risk culture.

The Risk Analytics Market is estimated to grow from USD 59.7 billion in 2024 to USD 180.9 billion in 2029, at a CAGR of 24.8% during the forecast period, according to a new report by MarketsandMarkets™.  Several trends fuel the global spread of Risk Analytics. Increasingly Increasing Data Complexity, Rising Cybersecurity Threats and Rising Adoption of Cloud-Based Solutions A growing talent pool of data scientists and engineers is building the necessary tools and infrastructure. Governments are recognizing the potential of risk analytics for economic growth and are investing in research and development. These trends make DI more accessible and valuable, leading to its global adoption.
Browse in-depth TOC on “Risk Analytics Market”260 – Tables 60 – Figures350 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=210662258
Scope of the Report
Report Metrics
Details
Market size available for years
2019–2023
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering,Risk Type, Risk stages, Vertical, and Region.
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US)
 
By offering the services segment to account for higher CAGR during the forecast period
In the Risk Analytics Market, the highest CAGR of services is fueled by Increasing Complexity of Risks, AI and machine learning advancements, big data analytics integration, business process optimization, cloud-based solutions adoption, data-driven culture, and diverse industry adoption. These trends reflect a global shift towards leveraging data for competitive advantage, driving a continuous need for sophisticated risk analytics services across sectors. As businesses prioritize agility, the growth of services in the Risk Analytics Market is driven by the need for effective risk management strategies in an increasingly complex and uncertain business environment.
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By Type, GRC software is expected to hold the largest market size for the year 2024
GRC software typically offers comprehensive solutions that cover a wide range of risk management needs, including compliance management, policy management, audit management, and risk assessment. They also provide organizations with enhanced visibility into their risk landscape. Through features such as risk assessment, risk monitoring, and reporting, organizations can identify and prioritize risks more effectively, enabling proactive risk management strategies.  GRC software streamlines risk management processes through automation, reducing manual effort and increasing efficiency. Tasks such as risk assessments, control testing, and incident management can be automated, freeing up resources to focus on strategic risk mitigation efforts. the combination of comprehensive functionality, regulatory compliance support, efficiency gains, scalability, integration capabilities, and culture enhancement makes GRC software a preferred choice for many organizations seeking to manage risk effectively.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The Healthcare and Lifesciences is experiencing a surge in the adoption of risk analytics due to a confluence of factors. Healthcare providers and life sciences companies wants to ensure the safety and well-being of patients. Risk analytics helps in identifying potential risks to patient safety, such as medication errors, adverse events, and medical device failures. The healthcare and life sciences industries are heavily regulated, with strict guidelines for patient care, data privacy, drug development, and clinical trials. Risk analytics helps organizations ensure compliance with these regulations by identifying and mitigating risks of non-compliance.  Healthcare organizations and life sciences companies also face financial risks associated with fraud, billing errors, revenue cycle management, and reimbursement challenges. Risk analytics helps in detecting anomalies and optimizing financial processes to mitigate these risks.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia-Pacific (APAC) region is experiencing rapid growth in the Risk Analytics Market, boasting the highest Compound Annual Growth Rate (CAGR). This surge is primarily attributed to rising demand for data-driven decision-making solutions, expanding digital transformation initiatives across industries.. Moreover, the region’s favorable regulatory environment, growing investments in big data analytics, and the integration of advanced technologies like the Internet of Things (IoT) further propel APAC’s dominance in Risk Analytics Market growth.
Top Key Companies in Risk Analytics Market:
The major risk analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Risk Analytics Market.
Recent Developments:
In March 2024, Orcale announced Oracle Risk Management Cloud in Release 24B. It offers comprehensive solution designed to help organizations identify, assess, and mitigate risks across their business operations. It offers advanced analytics, automation, and collaboration tools to streamline risk management.In March 2024, FIS Global announces card fraud detection capabilities leveraging artificial intelligence (AI) with aim to bolster FIS’s ability to identify and prevent fraudulent transactions, providing greater security for cardholders and financial institutions alike.In March 2024, Aon acquired an AI-powered platform to assist fleet and mobility clients in making data-driven decisions, enhancing operational efficiency and risk management. The platform utilizes artificial intelligence to analyze data and provide insights, enabling clients to optimize their fleet operations and improve decision-making processes.In March 2024, Crisp joined Resolver, with the aim to enhance Resolver’s risk intelligence capabilities by integrating Crisp’s expertise and technology into its platform, offering clients improved risk assessment and mitigation tools.In February 2024, SAS partnered with Carahsoft to bring analytics, AI, and data management solutions to the public sector. The aim is to leverage SAS’s expertise in advanced analytics and Carahsoft’s extensive government market reach to offer tailored solutions that enable public sector organizations to harness the power of data for informed decision-making and improved outcomes.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=210662258
Risk Analytics Market Advantages:
By offering insights into potential risks, opportunities, and trends, risk analytics helps organisations make data-driven decisions that improve strategic planning and resource allocation.In order to improve risk management procedures and lessen exposure to possible threats, risk analytics solutions assist businesses in identifying, evaluating, and mitigating risks across a range of business activities, including finance, operations, and compliance.Through real-time monitoring and anomaly detection made possible by risk analytics, organisations may proactively address shifting market situations, legal requirements, and cybersecurity threats.Risk analytics solutions assist organisations lower operating costs, increase productivity, and streamline compliance activities, which results in cost savings and resource optimisation. They do this by streamlining risk management procedures and automating routine work.Accurate risk assessments, audit trails, and reporting capabilities are just a few of the ways that risk analytics solutions help organisations comply with regulations and stay out of trouble.Organisations can enhance their resilience and competitiveness by anticipating and mitigating potential hazards before they materialise through the use of predictive modelling and advanced analytics approaches in risk analytics.Report Objectives
To define, describe, and predict the Risk Analytics Market by offering, risk type, risk stages, vertical, and regionTo provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growthTo analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile the key players and comprehensively analyze their market rankings and core competenciesTo analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the Risk Analytics MarketBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
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Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
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Robotic Palletizer Market worth $1.9 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, April 19, 2024 /PRNewswire/ — The robotic palletizer market is projected to grow from USD 1.4 billion in 2024 and is expected to reach USD 1.9 billion by 2029, growing at a CAGR of 5.9% from 2024 to 2029 according to a new report by MarketsandMarkets™. Rising awareness towards workplace safety and reducing the risk of work-related injuries to drive the market. Robotic palletizers significantly enhance workplace safety and reduce the risk of work-related injuries and associated costs. By automating repetitive tasks like palletizing, businesses can redeploy their human workforce to higher-value activities that require human skills like problem-solving, critical thinking, and customer interaction. This allows them to optimize their workforce and leverage human capabilities more effectively.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=251064253
Browse in-depth TOC on “Robotic Palletizer Market” 100 – Tables60 – Figures200 – Pages
Robotic Palletizer Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 1.4 billion
Estimated Value by 2029
$ 1.9 billion
Growth Rate
Poised to grow at a CAGR of 5.9%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By Component, Robot Type, Application, End-use Industry and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
High initial investment cost
Key Market Opportunities
Increasing application in small and medium-sized enterprises
Key Market Drivers
Growing labor shortage and need for workforce optimization
 
Collaborative robots in the robot type segment are expected to witness higher growth rate during the forecast period.
Collaborative robots are expected to witness a higher CAGR during the forecast period. Unlike traditional industrial robots that often require physical barriers or cages to protect human workers, cobots are equipped with advanced safety features, such as force and torque sensors, collision detection, and speed monitoring. These features enable cobots to operate safely in proximity to humans without posing significant risks of injury.
The Pharmaceutical segment in the robotic palletizer market is expected to witness highest growth rate during the forecast period.
Pharmaceutical products are subject to strict regulations regarding storage, handling, and quality control. Robotic palletizers play a crucial role in providing greater precision and consistency in palletizing tasks and minimizing the risk of contamination within pharmaceutical manufacturing facilities. It also reduces human intervention in the handling and stacking of products and helps mitigate the potential for cross-contamination and ensures adherence to strict hygiene standards.
End-of-Arm- Tooling (EOAT) component is expected to witness the highest CAGR in the robotic palletizer market during the forecast period.
End-of-arm tooling (EOAT) is a crucial element of a robotic arm system, especially in applications like robotic palletizing, where the robot needs to interact with various objects or products. EOAT essentially acts as the hand of the robotic arm, designed to securely grasp, lift, and place boxes or cases onto pallets. Overall, EOAT plays a vital role in the effectiveness of robotic palletizers as it ensures secure handling of products, efficient palletizing patterns, and smooth operation of the entire system.
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North America is expected to hold the largest share of the robotic palletizer industry during the forecast period.
North America is home to major automobile and retail companies, which has accelerated the demand for robotic palletizers in this region. Additionally, the rise in manufacturing activity, fueled by plans for reshoring and technological improvements, has further driven the need for robotic palletizers. In North America, certain government funds are available to increase workplace safety. In 2023, the Occupational Safety and Health Administration announced a grant of approximately USD 12.7 million to 100 non-profit organizations across the nation to provide education and training for workers and employers about recognizing workplace hazards, injury prevention, and understanding workers’ rights and employers’ responsibilities under federal law. Businesses that use robotic palletizers may be eligible for funding as they lower the risk of worker injuries from manual lifting.
Key Players
Leading players in the robotic palletizer companies include FANUC CORPORATION (Japan), KION GROUP AG (Germany), KUKA AG (Germany), ABB (Switzerland), and Krones AG (Germany). Schneider Packaging Equipment Company, Inc. (US), Honeywell International Inc. (US), Kaufman Engineered Systems (US), Concetti S.p.A. (Italy), Sidel (France), Brenton, LLC. (US), A-B-C Packaging Machine Corporation (US), Antenna Group (Italy), BEUMER GROUP (Germany), Brillopak (UK), BW Integrated Systems (US), Columbia Machine, Inc. (US), Euroimpianti S.p.A. (Italy),  Fuji Yusoki Kogyo Co., Ltd. (Japan), HAVER & BOECKER OHG (Germany), KHS Group (Germany), MMCI  (US), Okura Yusoki Co., Ltd. (Japan), Rothe Packtech Pvt. Ltd. (India),  and S&R Robot Systems, LLC. (US) are few other key companies operating in the robotic palletizer market.
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Browse Adjacent Market: Semiconductor and Electronics Market Research Reports & Consulting
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Palletizer Market Size, Share, Statistics and Industry Growth Analysis Report by Technology (Conventional, Robotic), Product Type (Bags, Boxes and Cases, Pails and Drums), Industry (Food & Beverages, Chemicals, Pharmaceuticals, Cosmetics & Personal Care, E-commerce and Retail) & Region – Global Growth Driver and Industry Forecast to 2029
Autonomous Mobile Robots Market by Offering (Hardware, Software and Services), Payload Capacity (500 kg), Navigation Technology (Laser/LiDAR, Vision Guidance), Industry (Manufacturing, Retail, E-commerce) – Global Forecast to 2028
Automated Guided Vehicle Market Size, Share, Industry, Statistics & Growth by Type (Tow Vehicles, Unit Load Carriers, Forklift Trucks, Assembly Line Vehicles, Pallet Trucks), Navigation Technology (Laser Guidance, Magnetic Guidance, Vision Guidance), Industry, Region – Global Forecast to 2028
Automated Storage and Retrieval System Market by Function (Storage, Distribution, Assembly), Type (Unit Load, Mini Load, Vertical Lift Module, Carousel, Mid Load), Vertical (Automotive, Food & Beverages, E-Commerce, Retail) – Global Forecast to 2028
Automated Material Handling Equipment Market Size, Share, Statistics and Industry Growth Analysis Report by Product (Robots, ASRS, Conveyors And Sortation Systems, Cranes, WMS, AGV), System Type (Unit Load, Bulk Load), Industry (Automotive, E-Commerce, Food & Beverage) and Region – Global Forecast to 2028
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