Birmingham, Jan. 12, 2023 (GLOBE NEWSWIRE) — “Artificial Intelligence (AI) in Insurance Market” is the title of a new report from Data Bridge Market Research. Key growth strategies, drivers, opportunities, key segments, Porter’s Five Forces analysis, and competitive environment are all dissected in detail in the research. The transparent, trustworthy, and extensive market information and data included in the Artificial Intelligence (AI) in Insurance business reports will definitely help develop business and improve return on investment (ROI). The market report estimates the region that is foretold to create the most number of opportunities in the global Artificial Intelligence (AI) in Insurance Market. It figures out whether there will be any changes in the market competition during the forecast period. These insights are often critical to key business processes such as product planning, new product development, distribution route planning, and sales force development. This market research report really serves to be a proven solution for businesses to gain a competitive advantage.
Data Bridge Market Research analyses that the artificial intelligence (AI) in the insurance market was valued at USD 3.64 billion in 2022 and is expected to reach the value of USD 35.77 billion by 2030, at a CAGR of 33.06% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
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Artificial intelligence (AI) has brought an innovative change in how the insurance sector performed in the last few years. Insurance was generally associated with time-consuming meetings, filing complicated claims, loads of paperwork,, and waiting months for a decision. Artificial intelligence (AI) in insurance has brought in automation that has continuously rebuilt insurance providers’ trust. Moreover, insurance automation such as artificial intelligence (AI) helps lower risks and fraud, encouraging business growth and automating numerous business processes to lessen overall costs.
Artificial intelligence (AI) will transfigure the insurance industry. Artificial intelligence (AI) technologies such as machine vision, natural language processing (NLP), machine learning and deep learning, and robotic automation have the potential to reimagine the overall insurance lifecycle from customer procurement to claims processing.
- Numerous advantages associated with artificial intelligence (AI)
Artificial intelligence (AI) will increase critical insurance operations such as risk assessment, claims processing, asset management, and prevention. For instance, the image processing function of artificial intelligence (AI) in Insurance may be used to estimate property damage. This same machine may be utilized to make an educated choice on smart system expenditures. Thus, As a result of all these factors, the demand for the artificial intelligence (AI) increase, which will be expected to create immense market growth opportunities.
Key Market Players:
- Microsoft (U.S.)
- Infosys Limited (India)
- Tractable Ltd (U.S.)
- Insurify, Inc. (U.S.)
- Slice Insurance Technologies Inc., (U.S.)
- Google (U.S.)
- Oracle (U.S.)
- Amazon Web Services Inc. (U.S.)
- IBM (U.S.)
- Avaamo (U.S.)
- Cape Analytics (U.S.)
- Wipro (India)
- Acko General Insurance (India)
- Shift Technology (France)
- Quantemplate (U.K.)
- Zurich (Switzerland)
- Lemonade Insurance Agency, LLC (U.S.)
We can add or profile new company as per client need in the report. Final confirmation is to be provided by the research team depending upon the difficulty of survey.
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Key Growth Drivers:
- Increasing usage of artificial intelligence (AI) in chatbots
The artificial intelligence (AI) in the insurance sector has brought a revolutionary change in the level of customer service. Chatbots are the simplest and easiest way to start the process and further distribute the information to the next aligned process without any human interference. This makes the process quick, smooth, and error-free. AI based chatbots can upsell and cross-sell products based on the customer’s history and profile.
- Insurance claims management and investigation
Regulating all the procedures of authorizations, approvals, payment tracking, data capturing, claims creation and recovery tracking through artificial intelligence (AI) can be paired with other applications to reorganize the fraud detection process, thus saving costs and time. Artificial intelligence in insurance claims can decrease processing costs by 50-65%, claims regulation prices by 20 to 30%, and processing time by 50-90% while improving the customer service experience.
Critical Insights Related to the Artificial Intelligence (AI) in Insurance Included in the Report:
- Exclusive graphics and Illustrative SWOT analysis of some of the leading companies in this market
- Value chain analysis of prominent players in the market
- Current trends influencing the dynamics of this market across various geographies
- Recent mergers, acquisitions, collaborations, and partnerships
- Revenue growth of this industry over the forecast period
- Marketing strategy study and growth trends
- Growth driven factor analysis
- Emerging recess segments and region-wise market
- An empirical evaluation of the curve of this market
- Ancient, Present, and Probable scope of the market from both prospect value and volume
Global Artificial Intelligence (AI) in Insurance Market Scope
- Machine Learning and Deep Learning
- Natural Language Processing (NLP)
- Machine Vision
- Robotic Automation
By Deployment Model
By Enterprises Size
- Large Enterprises
- SMEs Enterprises
- Claims Management
- Life Insurance
- Title Insurance
- Auto Insurance
Read the Detailed Index of the full Research Study @ https://www.databridgemarketresearch.com/reports/global-artificial-intelligence-ai-in-insurance-market
Artificial Intelligence (AI) in Insurance Market Regional Analysis/Insights
Global Artificial Intelligence (AI) in Insurance market is analyzed and market size insights and trends are provided by country, application, material, color, connector application, type, voltage, sales channel and vehicle type, as referenced above.
The countries covered in the Artificial Intelligence (AI) in Insurance market report are the U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the artificial intelligence (AI) in insurance market in terms of revenue and market share due to the increasing adoption of new technologies to numerous AI solution providers in the region.
Asia-Pacific will continue to project the highest compound annual growth rate during the forecast period of 2023-2030 due to the increasing government initiatives supporting digitalization. Moreover, growing investments on advanced technologies such as IoT and AI are raising the demand for AI across the insurance sector which will likely to enhance market growth within this region.
Table of Content:
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Global Artificial Intelligence (AI) in Insurance Market Segmentation By Component
Part 04: Global Artificial Intelligence (AI) in Insurance Market Segmentation By Enterprises Size
Part 05: Global Artificial Intelligence (AI) in Insurance Market Segmentation By Technology
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
To check the complete Table of Content click here: @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-ai-in-insurance-market
All segmentation provided above in this report is represented at country level and can be customized according to needs.
All products covered in the market, product volume and average selling prices will be included as customizable options which may incur no or minimal additional cost (depends on customization).
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Cisco Doubles Down on Network Assurance with AWS
Cisco delivers seamless integration between ThousandEyes and Amazon CloudWatch Internet Monitor.ThousandEyes’ unmatched cloud and Internet visibility combined with AWS’s Internet health and performance insights will allow a complete view of an application’s entire service delivery path, across private environments, the public Internet and into AWS’s network.Customers benefit from new operational insights and recommendations enabling them to optimize deployments and assure exceptional digital experiences for any AWS-hosted application.LAS VEGAS, Nov. 28, 2023 /PRNewswire/ — AWS re:Invent — Today at AWS re:Invent 2023, Cisco (NASDAQ: CSCO) announced new integrations between Cisco ThousandEyes and Amazon CloudWatch Internet Monitor (CWIM), a new Internet monitoring service from Amazon Web Services (AWS). The first-of-its-kind integration empowers customers with unparalleled visibility into their cloud deployments, enabling them to deliver unmatched optimized digital experiences.
With this new integration, customers can leverage operational insights to ensure optimal placement of AWS instances and monitoring coverage based on user traffic profiles. This integration comes on the heels of ThousandEyes announcing AWS Network Path Enrichment, giving customers deeper visibility into AWS by enriching ThousandEyes Path Visualization with data from AWS data sources—helping customers work more collaboratively with providers to resolve issues that are impacting application performance.
Building upon the existing relationship between AWS and Cisco, the new integration demonstrates Cisco’s deep commitment to its end-to-end network assurance vision. Cisco securely and sustainably connects everyone to everything and assures the digital experience of every one of those connections. By working with AWS, Cisco is delivering on its promise to provide visibility into every domain that impacts digital experience—whether user, enterprise, Internet, or cloud—so it can ultimately provide artificial intelligence (AI)-driven insights, recommendations, and remediations to support the digital transformation of every customer, wherever they are on their journey.
“Since launching one year ago, Amazon CloudWatch Internet Monitor has delivered real-time insights into the traffic and performance of our customers’ AWS VPCs, CloudFront distributions, and Workspaces towards Internet destinations. In-depth Internet visibility is critical to our customers, so we’re excited to combine forces with ThousandEyes to provide a comprehensive view of Internet health.” — Robert Kennedy, VP of AWS Border Network Engineering, AWS
“Connectivity is key to Sutherland’s business model and to our customer interactions. Cloud visibility is a big part of that and with ThousandEyes’ end-to-end visibility all the way from our employees’ home environments to AWS, we’re able to quickly catch and resolve issues which allows us to deliver consistent high-quality application experiences to both our employees and customers.”—Ted Sanfilippo, VP Infrastructure, Head of Global Network Services and GTOC, Sutherland
“Customers today need to assure digital experiences over any network—the ones they own and the ones they don’t. As the leader in Internet visibility, Cisco is on a mission to deliver unmatched, end-to-end network assurance. Today’s integration with AWS demonstrates our shared commitment to empower our customers to more effectively monitor and manage their cloud environments.”— Mohit Lad, Senior Vice President and General Manager, Network Assurance, Cisco, and Co-Founder, ThousandEyes
For more information and live demos visit ThousandEyes at AWS re:Invent at booth #1621. Join our Lightning Talk on the exhibit floor: NET102-S, “Extending ThousandEyes visibility to the AWS network,” November 28 at 3:30 PM – 3:50 PM (PDT)
The Amazon CloudWatch Internet Monitor integration will be available in Cisco ThousandEyes in spring 2024. The ThousandEyes platform is available for purchase today in AWS Marketplace.Additional Resources
ThousandEyes Announcement BlogAWS Marketplace: CiscoCisco at AWS re:Invent 2023Additional Cisco news at AWS re:InventAbout CiscoCisco (NASDAQ: CSCO) is the worldwide technology leader that securely connects everything to make anything possible. Our purpose is to power an inclusive future for all by helping our customers reimagine their applications, power hybrid work, secure their enterprise, transform their infrastructure, and meet their sustainability goals. Discover more on The Newsroom and follow us on X at @Cisco. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco’s trademarks can be found at www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.
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Artificial Neural Network Market to Reach $1.4 Billion by 2032 at 19.9% CAGR: Allied Market Research
The growing demand for AI-based solutions and the rising need for intelligent business processes are expected to drive the global artificial neural network market growth.
NEW CASTLE, Del., Nov. 28, 2023 /PRNewswire/ — Allied Market Research published a report, titled, “Artificial Neural Network Market by Component (Solution and Service), Deployment Mode (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises), and Industry (Healthcare, BFSI, Retail and E-commerce, Manufacturing, Automotive, and Others): Global Opportunity Analysis and Industry Forecast, 2022–2032”. According to the report, the artificial neural network industry generated $227.8 million in 2022 and is anticipated to generate $1.4 billion by 2032, witnessing a CAGR of 19.9% from 2023 to 2032.
Prime determinants of growth
The notable factors positively affecting the artificial neural network market include the growing demand for AI-based solutions and the rising need for intelligent business processes. However, a lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN) can hinder market growth. Furthermore, advancements in big data analytics and the availability of high-performance computing systems offer lucrative market opportunities for the market players.
Download Sample Pages: https://www.alliedmarketresearch.com/request-sample/13364
Report coverage & details:
Market Size in 2022
Market Size in 2032
No. of Pages in Report
Component, Deployment Mode, Enterprise Size Industry, and Region.
Growing demand for AI-based solutions
The rising need for intelligent business processes
Advancements in big data analytics.
The availability of high-performance computing systems.
A lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN)
Buy this Complete Report (450 Pages PDF with Insights, Charts, Tables, and Figures) at:
The solution segment to maintain its leadership status throughout the forecast period
Based on component, the solution segment held the highest market share in 2022, accounting for less than two-fifths of the artificial neural network market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to the growing need for a high level of personalization which is one of the primary reasons enterprises are increasing their investment in the artificial neural network market. However, the services segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. The services segment is expected to witness the highest growth, as these services help to reduce the time and costs associated with optimizing systems in the initial phase of deployment.
The on-premise segment to maintain its lead position during the forecast period
Based on deployment mode, the on-premise segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue. An increase in the need for secure and reliable data within the organization is fueling the market growth for on-premises-based artificial neural network solutions. However, the cloud segment is expected to portray the largest CAGR of 21.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides several advantages such as reducing costs, supporting business, and effectively controlling the business environment in the organization.
The large enterprises segment to maintain its lead position during the forecast period
Based on enterprise size, the large enterprises segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue, owing to the growing demand for artificial neural network solutions in large enterprises which is fueling the market growth in these enterprises. However, the small and medium-sized enterprises segment is expected to portray the largest CAGR of 22.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides various benefits to the small and medium-sized enterprises organization.
The healthcare segment to maintain its lead position during the forecast period
Based on industry vertical, the healthcare segment accounted for the largest share in 2022, contributing for less than two-fifths of the artificial neural network market revenue, owing to the development of digital technologies in IT sector. However, the manufacturing segment is projected to manifest the highest CAGR of 24.3% from 2023 to 2032. The surge in implementation of automation trends and the increase in utilization of digital technology in this sector are expected to provide lucrative opportunities for the market.
North America region dominated the global artificial neural network market in 2022
Based on region, the North America segment held the highest market share in terms of revenue in 2022, accounting for less than two-fifths of the artificial neural network market revenue. The increase in the usage of artificial neural network solutions in businesses to improve businesses and the customer experience is anticipated to propel the growth of the market in this region. However, the Asia-Pacific segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. Countries such as China, India, and South Korea are at the forefront, embracing digital technologies to enhance their effectiveness and competitiveness, which is further expected to contribute to the growth of the market in this region.
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Recent Product launches in the Artificial Neural Network Market
In April 2023, Google LLC launched a cloud-based automation toolkit for healthcare organizations and previewed Med-PaLM 2, a neural network capable of answering medical exam questions.In August 2021, IBM Corporation unveiled details of the upcoming new IBM Telum Processor designed to bring deep learning inference to enterprise workloads to help address fraud in real-time..Recent Partnerships in the Artificial Neural Network Market
In June 2023, Snowflake partnered with Microsoft to simplify joint customers’ artificial intelligence projects. A core focus of the collaboration is Microsoft’s Azure OpenAI Service. It provides cloud-based versions of OpenAI LP’s machine learning models, including GPT-4.In November 2021, Qualcomm Technologies partnered with Google Cloud, on Neural Architecture Search (NAS), enabling the companies to create and optimize AI models automatically rather than manually.Leading Market Players: –
Amazon Web Services Inc. Google Inc. Hewlett Packard Enterprise Development LP IBM Corporation Intel Corporation Microsoft Corporation NVIDIA Corporation Oracle Corporation Qualcomm Technologies Inc. Salesforce Inc.The report provides a detailed analysis of these key players in the artificial neural network market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.
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New process definition capabilities in PIMS further enhance quality assurance and “right -first-time” initiatives for pharma manufacturers
WOKING, England, Nov. 28, 2023 /PRNewswire/ — IDBS unveils new process definition templates in its latest release, PIMS 5.1. Process definition templates enable pharma manufacturers to template process steps and quality specifications for faster process definition set-up and improved harmonization across the manufacturing teams to further enhance quality assurance (QA) and “right-first-time” initiatives.
Providing contextualized access to aggregated manufacturing data, PIMS offers a single source of data truth for efficient gathering, sharing and analysis of critical manufacturing process and quality data to support continued process verification (CPV), investigations and process optimization.
This release builds on recent PIMS’ process definition enhancements that added process definition versioning and approvals to help alleviate manual standard operating procedure (SOP) requirements and enhance QA for a more robust GxP environment.
PIMS’ customers report that these standardized process definition templates will reduce their manual process definition set-up and enable easy, harmonized site and product comparisons.
“Our customers recognize the value of being able to trace their process data over time, not only for tech transfer but also to help them learn from their historical data and optimize future process development,” says Pietro Forgione, General Manager at IDBS. “Having their critical process data in PIMS already gives them the assurance of data integrity and these new enhancements now make it even easier to complete QA and validation steps and move them closer to ‘right-first-time’ manufacturing.”
To learn more, register for the December 6 webinar here.
IDBS helps BioPharmaceutical organizations accelerate the discovery, development and manufacturing of the next generation of life-changing therapies that advance human health worldwide. From lab through manufacturing, IDBS leverages its 30+ years of experience working with a diverse list of customers – including 18 of the top 20 global BioPharma companies – and deep expertise in scientific informatics and process data management to tackle today’s most complex challenges.
Known for its signature IDBS E-WorkBook product, IDBS has extended solutions across the entire value chain for BioPharma Lifecycle Management (BPLM). Built on analytics-centric and cloud-native technology, IDBS Polar and Skyland PIMS platforms are powered by a digital data backbone to drive faster and smarter decisions in drug development and across the supply chain.
Learn more at idbs.com.
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