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Call Center AI Market Size Predicted to Reach US$4.1 Billion By 2027 – Exclusive Report by Marketsandmarkets™

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Chicago, Oct. 28, 2022 (GLOBE NEWSWIRE) — Call Center AI Market size to grow from USD 1.6 billion in 2022 to USD 4.1 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 21.3% during the forecast period according to a new report by MarketsandMarkets™. The major factors driving the growth of the Call Center AI Market are the rising development in customer engagement through social media platforms and the advent of AI and Ml technologies by organizations to offer enhanced customer support services. However, unsupervised self-learning of chatbots poses a major restraining factor for the adoption of call center AI in the market.

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Browse in-depth TOC on “Call Center AI Market”
337 – Tables
67 – Figures
307 – Pages

Scope of the Report

Report Metrics Details
Market size available for years 2016–2027
Base year considered 2021
Forecast period 2022-2027
Forecast units USD Million
Market Value in 2022 USD 1.6 billion
Forecast Value in 2027 USD 4.1 billion
Segments covered Component (solutions and services), mode of channel, application, deployment mode, organization size, vertical, and region.
Regions covered North America, Europe, Asia Pacific, Latin America and Middle East & Africa
Companies covered IBM (US), Microsoft (US), Oracle (US), AWS (US), SAP (Germany), Google (US), Avaya (US), NICE (Israel), Nuance Communications (US), Genesys (US), 8×8 (US), Artificial Solutions (Sweden), Zendesk (US), Five9 (US), RingCentral (US), Talkdesk (US), Dialpad (US), Twilio (US), Kore.ai (US), Inbenta (US), Creative Virtual (UK), Haptik (India), Rulai (US), Pypestream (US), Avaamo (US), Senseforth.ai (US), Observe.AI (US), Yellow.ai (US), Ultimate.ai (Germany), and Cognigy (Germany).

Advancements in AI and ML-based technologies to facilitate real-time actionable customer insights and integration of gesture recognition with AI-based chatbots and IVAs to offer opportunities for the growth of Call Center AI Market in upcoming years. Organizations across the globe are dedicatedly investing in AI and ML technologies to improve user experience and stay competitive in the ever-changing market environment. AI-enabled solutions have witnessed wide-scale adoption across various applications, such as bots, predictive and prescriptive models, speech recognition, search engine optimization, image recognition, and text recognition. Furthermore, advanced AI and ML applications are used by call centers across various sectors, such as BFSI, IT & telecom, healthcare & life sciences, and retail & eCommerce, to predict the outcomes and automatically take care of further processes. However, the major challenges for the adoption of call center AI solutions are data privacy and security concerns, lack of skilled employees, preference for an online chat over chatbots, and slow digitalization across emerging economies.

The Call Center AI Market is segmented based on components, which include solutions and services. The AI solutions help in improving the agent performance and use IVR software for a better experience. The software became a key call center tool because it helps route incoming calls to agents who have the right skills to solve the customers’ problems. For instance, AWS provides Amazon Connect, which provides superior customer service at a lower cost with an easy-to-use omnichannel cloud contact center. Organizations are using these solutions to achieve better customer engagements and address critical contact center needs related to the management of agent performance and inbound and outbound operations, such as customer query resolution, selling and prospecting, and information delivery and customer communication management. These AI-based solutions can also be customized according to the business requirements.

The Call Center AI Market, Based on organization sizes, the Call Center AI Market is segmented into SMEs and large enterprises. Currently, the market share of large enterprises is larger; however, the market for SMEs is expected to increase at a higher CAGR during the forecast period. The organization size is identified based on the number of employees working in the organization as per global standards given below: SMEs: Less than 1,000 employees Large Enterprises: More than 1,000 employees To automate various contact center processes, including the management of customer interactions and agent performance, routing of customer requests, inquiries and feedback, and analysis and reporting of contact center performance, organizations deploy contact center solutions. This, in turn, has led to the increased adoption of call center AI solutions among large enterprises and SMEs working across verticals. The large enterprises segment is expected to hold a larger market size during the forecast period, owing to high affordability and the presence of a huge customer base and resources. Both SMEs and large enterprises face the same challenges while managing the performance of call centers; therefore, the demand for call center AI solutions is on the rise.

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The Call Center AI Market by mode of channel can be segmented into the phone, social media, chat, email or text, and website. It is important to offer customers as many contact channels as possible to manage the business effectively. While deploying different communication channels, helps users get insights into how customers interact with the company. It will help reduce the call center wait times and improve overall customer satisfaction. This will lead to customer retention, increasing up-selling, and cross-selling as these are the three highest-ranked priorities in terms of customer management. Customers prefer to contact call centers through several channels. This channel provides customers anonymity if they do not want to provide personal details right at the start of a conversation. It can be embedded within a website or mobile app. The online live chat is the most preferred mode of channel for customer service interactions, followed by phone, email, and in-person customer service.

The Call Center AI Market comprises two major deployment modes: on-premises and cloud. The decision with respect to deploying call center AI solutions on-premises or in the cloud depends on an organization’s structure, such as its size, the number of employees, and most importantly, its financial capabilities. Both deployment types have certain advantages and disadvantages, based on which organizations select the one that suits their needs. The majority of call center AI solutions are being deployed in the cloud as it offers advantages, such as pay-per-use and low installation and maintenance costs. This deployment model is expected to show high growth soon. However, data privacy and security concerns drive the on-premises deployment, especially by large enterprises.

The Call Center AI Market, based on application, has been segmented into workforce optimization, predictive call routing, journey orchestration, agent performance management, sentiment analysis, appointment scheduling, and other applications (task management, lead generation, compliance tracking, inventory & order management). These applications are used to address critical call center needs related to the management of agent performance, and inbound and outbound operations such as customer query resolution, selling and prospecting, and information delivery and customer communication management. Call centers have long used cutting-edge technology, from call routing systems that sent consumers to the first available agents to interactive voice response (IVR) systems that helped millions of customers to interact. Call centers are one of the most demanding environments for artificial intelligence because they need to handle a high volume of requests while adhering to strict rules. Artificial intelligence call center technologies impact customer services as they help customer support agents to work more productively; it has helped in engaging conversations and has reduced the time spent on simple interactions. AI is used with other technologies such as machine learning, deep learning, and natural language comprehension to break down communication barriers and automate customer interactions. Call center AI uses conversational chatbots and product recommendations based on customer behavior that help in business processes. Artificial intelligence call center technologies are utilized to provide complete statistics on call times, first resolution, and other information. AI-powered tools have highlighted the trends and have access to consumer data that has helped businesses to have access to consumers’ experiences; whether positive or negative

The Call Center AI Market based on verticals has been segmented into BFSI, healthcare & life Science, retail & E-commerce, travel & hospitality, media & entertainment, IT & telecom, transportation & logistics, and other verticals (government, education, manufacturing, and automotive). AI helps enterprises in enhancing the customer experience, improving customer service, reducing operational costs, and gaining customer insights. Vendors in the Call Center AI Market customize their solution offerings and services to make their offerings more flexible and scalable. Call center solutions also enable organizations to automate call routing, benchmark performance, train and coach their call center staff, and control customer churn. Various industries use call center solutions to execute their contact center strategies. Across various verticals, AI is used in call centers to provide in-depth analytics on-call times, first resolution, and more. These technologies can spot trends and have access to customer data that will provide insights on whether customers have a positive or negative experience.

The geographic analysis of the Call Center AI Market covers the segmentation of the market across five major regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. The developed regions have started adopting AI in call centers, whereas the developing regions are gradually leveraging AI technology to enhance the call center services delivery. A difference also lies in spending; awareness; and other macro and micro-regional factors, such as economic factors, political stability, government spending, supporting infrastructure, and awareness. North America is estimated to hold the largest market share during the forecast period, owing to the early adoption of AI technology complemented by the presence of many players across different regions. The Asia Pacific region is expected to have the highest growth rate during the forecast period. Asia Pacific consists of emerging economies, such as China and India, where call center AI solutions are being deployed at a large scale due to the presence of a lot of data centers and a high density of BPO operations. Europe is the second largest, in terms of market size, during the forecast period. The growing demand to reduce enterprise workloads regarding customer engagement and retention is the key factor driving the adoption of call center AI solutions in Europe. Latin America and Middle East & Africa offer huge potential for the Call Center AI Market due to service industries’ increasing cloud adoption and digital initiatives.

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Market Players

Key players offering Call Center AI Market are IBM (US), Microsoft (US), Oracle (US), AWS (US), SAP (Germany), Google (US), Avaya (US), NICE (Israel), Nuance Communications (US), Genesys (US), 8×8 (US), Artificial Solutions (Sweden), Zendesk (US), Five9 (US), RingCentral (US), Talkdesk (US), Dialpad (US), Twilio (US), Kore.ai (US), Inbenta (US), Creative Virtual (UK), Haptik (India), Rulai (US), Pypestream (US), Avaamo (US), Senseforth.ai (US), Observe.AI (US), Yellow.ai (US), Ultimate.ai (Germany), and Cognigy (Germany).

Browse Adjacent Market: Analytics Market Research Reports & Consulting

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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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Procurement Analytics Market- Global Forecast to 2026
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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
Related Reports: 
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
About MarketsandMarkets™
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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.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
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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