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Intelligent Document Processing Market Size is projected to reach USD 6.38 Billion by 2027, growing at a CAGR of 35.4%: Straits Research

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New York, United States, Aug. 24, 2022 (GLOBE NEWSWIRE) — In the wake of the digital era, businesses are increasingly looking for technological solutions to enhance the pace of document processing. Therefore, the words “intelligent” and “document processing” come together to form “Intelligent document processing (IDP)” IDP is an Intelligent Process Automation (IPA), in which technologies like Machine Learning (ML), Natural Language Processing (NLP), and Image Recognition (ICR) are used to automate document processing activities that would otherwise need human intelligence.

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The AI application for document processing has accelerated due to advancements in AI and easy tools. Businesses receive a massive amount of semi-structured and unstructured data in the form of sales orders, invoices, and customer communications. It is challenging to arrange data using rule-based automation tools, thus, businesses use intelligent document processing solutions to handle surplus data and data mining to increase the analysis quality.

The rising need for enterprises to process large volumes of semi-structured and unstructured documents with more accuracy and speed, increasing investments in digitalization, and the adoption of cloud-based document processing solutions are the major factors in driving the growth of the Intelligent document processing market.

Report Scope

Report Metric Details
Market Size USD 6,382.52 million by 2027
CAGR 35.4% (2021-2027)
Historical Data 2019-2020
Base Year 2021
Forecast Period 2022-2027
Forecast Units Value (USD Billion )
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered Component, Deployment Mode, Technology, End-User, and Regions
Geographies Covered North America, Europe, Asia-Pacific, LAME, and the Rest of the World
Key Companies Profiled/Vendors ABBYY, IBM, Kofax, WorkFusion, Automation Anywhere, Appian, UiPath, Datamatics, AntWorks, Parascript, Hyperscience, OpenText, Hyland, Extract Systems, Infrrd, Celaton, HCL Technologies, Kodak Alaris, Rossum, InData Labs, Ephesoft, IRIS, Evolution AI, BIS, and AmyGB,
Key Market Opportunities Rising Demand For Intelligent Document Processing In Technology Industry
Key Market Drivers Increase in Semi-Structured and Unstructured Document Processing in Organizations

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Key Highlights

  • The global intelligent document processing market size was valued at USD 1035.81 million in 2021 and is projected to reach USD 6,382.52 million by 2027 with a CAGR of 35.4% during 2021–2027.
  • Advanced Technologies in Document Processing subjected to Drive the Market Growth
  • Increase in Semi-Structured and Unstructured Document Processing in Organizations

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Regional Overview

North America Projected to Dominate the Market in Future

During the projected period, the North American region is projected to become the biggest market share owner worldwide. The U.S., Canada, and Mexico account for the maximum market share in this region. Regional firms are leading the way in machine learning, artificial intelligence, computer vision, and natural language processing, which is assisting the market’s expansion. Another key factor in North America’s adoption of intelligent document processing is the existence of major companies such as Kofax, WorkFusion, ABBYY, IBM, Automation Anywhere, Parascript, Extract Systems, and Hyland.

The prominent players in the intelligent document processing market include

  • ABBYY
  • IBM
  • Kofax
  • WorkFusion
  • Automation Anywhere
  • Appian
  • UiPath
  • Datamatics
  • AntWorks
  • Parascript
  • Hyperscience
  • OpenText
  • Hyland
  • Extract Systems
  • Infrrd
  • Celaton
  • HCL Technologies
  • Kodak Alaris
  • Rossum
  • InData Labs
  • Ephesoft
  • IRIS
  • Evolution AI
  • BIS
  • AmyGB

Market Segmentation

By Components

  • Solution
  • Service

By Deployment Mode

  • Cloud
  • On-premises

By Technology

  • Natural Language Processing (NLP)
  • Optical Character Recognition (OCR)
  • Machine Learning (ML)
  • Artificial Intelligence (AI)
  • Robotic Process Automation (RPA)
  • Google Vision
  • Deep Learning (DL)

By End-Use

  • BFSI
  • Government
  • Healthcare and Life Sciences
  • Retail and E-Commerce
  • Manufacturing
  • Transportation and Logistics
  • Others

By Regions

  • North America
  • Europe
  • Asia-Pacific
  • South America
  • The Middle East and Africa

TABLE OF CONTENT

1          Introduction

1.1       Market Definition

1.2       Market Scope

2          Research Methodology

2.1       Primary Research

2.2       Research Methodology

2.3       Assumptions and Exclusions

2.4       Secondary Data Sources

3          Executive Summary

4          Market Overview

4.1       Report Segmentation and Scope

4.2       Value Chain Analysis: Intelligent Document Processing Market

4.2.1   Vendor Matrix

4.3       Key Market Trends

4.3.1   Drivers

4.3.2   Restraints

4.3.3   Opportunities

4.4       Porter’s Five Forces Analysis

4.4.1   Bargaining Power of Suppliers

4.4.2   Bargaining Power of Buyers

4.4.3   Threat of Substitution

4.4.4   Threat of New Entrants

4.4.5   Competitive Rivalry

4.5       Environment and Regulatory Landscape

4.6       Forecast Factors and Relevance of Impact

4.7       Macro-Economic and Geopolitical Scenario

4.8       Parent Market Overview

4.9       Technology Landscape

4.10    Market Share Analysis

4.11    Potential Venture Analysis

4.12    Regional Price Trends

4.13    Raw Material Trends

4.14    Cost Structure Analysis

4.14.1 Labor Cost

4.14.2 Consumables

4.14.3 Maintenance Cost

5          Component Overview

5.1       Introduction

5.1.1   Market Size and Forecast (Value)

5.2       Solution

5.2.1   Market Size and Forecast (Value)

5.3       Service

5.3.1   Market Size and Forecast (Value)

6          Deployment Mode Overview

6.1       Introduction

6.1.1   Market Size and Forecast (Value)

6.2       On-premises

6.2.1   Market Size and Forecast (Value)

6.3       Cloud

6.3.1   Market Size and Forecast (Value)

7          Technology Overview

7.1       Introduction

7.1.1   Market Size and Forecast (Value)

7.2       Natural Language Processing (NLP)

7.2.1   Market Size and Forecast (Value)

7.3       Optical Character Recognition (OCR)

7.3.1   Market Size and Forecast (Value)

7.4       Machine Learning (ML)

7.4.1   Market Size and Forecast (Value)

7.5       Artificial Intelligence (AI)

7.5.1   Market Size and Forecast (Value)

7.6       Robotic Process Automation (RPA)

7.6.1   Market Size and Forecast (Value)

7.7       Google Vision

7.7.1   Market Size and Forecast (Value)

7.8       Deep Learning (DL)

7.8.1   Market Size and Forecast (Value)

8          End-User Overview

8.1       Introduction

8.1.1   Market Size and Forecast (Value)

8.2       BFSI

8.2.1   Market Size and Forecast (Value)

8.3       Government

8.3.1   Market Size and Forecast (Value)

8.4       Healthcare and Life Sciences

8.4.1   Market Size and Forecast (Value)

8.5       Retail and E-commerce

8.5.1   Market Size and Forecast (Value)

8.6       Manufacturing

8.6.1   Market Size and Forecast (Value)

8.7       Transportation and Logistics

8.7.1   Market Size and Forecast (Value)

8.8       Others

8.8.1   Market Size and Forecast (Value)

9          Regional Overview

9.1      Introduction

9.1.1   Market Size and Forecast (Value)

9.2      North America

9.2.1   Economic Overview

9.2.2   Market Scenario

9.2.3   The U.S.

9.2.3.1            By Component

9.2.3.2            By Deployment Mode

9.2.3.3            By Technology

9.2.3.4            By End-user

9.2.4   Canada

9.2.4.1            By Component

9.2.4.2            By Deployment Mode

9.2.4.3            By Technology

9.2.4.4            By End-user

9.2.5   Mexico

9.2.5.1            By Component

9.2.5.2            By Deployment Mode

9.2.5.3            By Technology

9.2.5.4            By End-user

9.3      Latin America (LATAM)

9.3.1   Economic Overview

9.3.2   Market Scenario

9.3.3   Brazil

9.3.3.1            By Component

9.3.3.2            By Deployment Mode

9.3.3.3            By Technology

9.3.3.4            By End-user

9.3.4   Argentina

9.3.4.1            By Component

9.3.4.2            By Deployment Mode

9.3.4.3            By Technology

9.3.4.4            By End-user

9.3.5   Colombia

9.3.5.1            By Component

9.3.5.2            By Deployment Mode

9.3.5.3            By Technology

9.3.5.4            By End-user

9.3.6   Rest of LATAM

9.3.6.1            By Component

9.3.6.2            By Deployment Mode

9.3.6.3            By Technology

9.3.6.4            By End-user

9.4      Europe

9.4.1   Economic Overview

9.4.2   Market Scenario

9.4.3   Germany

9.4.3.1            By Component

9.4.3.2            By Deployment Mode

9.4.3.3            By Technology

9.4.3.4            By End-user

9.4.4   France

9.4.4.1            By Component

9.4.4.2            By Deployment Mode

9.4.4.3            By Technology

9.4.4.4            By End-user

9.4.5   The U.K.

9.4.5.1            By Component

9.4.5.2            By Deployment Mode

9.4.5.3            By Technology

9.4.5.4            By End-user

9.4.6   Italy

9.4.6.1            By Component

9.4.6.2            By Deployment Mode

9.4.6.3            By Technology

9.4.6.4            By End-user

9.4.7   The Rest of Europe

9.4.7.1            By Component

9.4.7.2            By Deployment Mode

9.4.7.3            By Technology

9.4.7.4            By End-user

9.5      The Asia-Pacific (APAC)

9.5.1   Economic Overview

9.5.2   Market Scenario

9.5.3   China

9.5.3.1            By Component

9.5.3.2            By Deployment Mode

9.5.3.3            By Technology

9.5.3.4            By End-user

9.5.4   Japan

9.5.4.1            By Component

9.5.4.2            By Deployment Mode

9.5.4.3            By Technology

9.5.4.4            By End-user

9.5.5   India

9.5.5.1            By Component

9.5.5.2            By Deployment Mode

9.5.5.3            By Technology

9.5.5.4            By End-user

9.5.6   Australia

9.5.6.1            By Component

9.5.6.2            By Deployment Mode

9.5.6.3            By Technology

9.5.6.4            By End-user

9.5.7   South Korea

9.5.7.1            By Component

9.5.7.2            By Deployment Mode

9.5.7.3            By Technology

9.5.7.4            By End-user

9.5.8   Rest of APAC

9.5.8.1            By Component

9.5.8.2            By Deployment Mode

9.5.8.3            By Technology

9.5.8.4            By End-user

9.6      The Middle East

9.6.1   Economic Overview

9.6.2   Market Scenario

9.6.3   Saudi Arabia

9.6.3.1            By Component

9.6.3.2            By Deployment Mode

9.6.3.3            By Technology

9.6.3.4            By End-user

9.6.4   The U.A.E

9.6.4.1            By Component

9.6.4.2            By Deployment Mode

9.6.4.3            By Technology

9.6.4.4            By End-user

9.6.5   Qatar

9.6.5.1            By Component

9.6.5.2            By Deployment Mode

9.6.5.3            By Technology

9.6.5.4            By End-user

9.6.6   Oman

9.6.6.1            By Component

9.6.6.2            By Deployment Mode

9.6.6.3            By Technology

9.6.6.4            By End-user

9.6.7   Turkey

9.6.7.1            By Component

9.6.7.2            By Deployment Mode

9.6.7.3            By Technology

9.6.7.4            By End-user

9.6.8   The Rest of the Middle East

9.6.8.1            By Component

9.6.8.2            By Deployment Mode

9.6.8.3            By Technology

9.6.8.4            By End-user

9.7      Africa

9.7.1   Nigeria

9.7.1.1            By Component

9.7.1.2            By Deployment Mode

9.7.1.3            By Technology

9.7.1.4            By End-user

9.7.2   South Africa

9.7.2.1            By Component

9.7.2.2            By Deployment Mode

9.7.2.3            By Technology

9.7.2.4            By End-user

9.7.3   The Rest of Africa

9.7.3.1            By Component

9.7.3.2            By Deployment Mode

9.7.3.3            By Technology

9.7.3.4            By End-user

10        Competitive Landscape — Manufacturers and Suppliers

10.1    Competition Dashboard

10.2    Industry Structure

10.3    ABBYY

10.3.1 Business Overview

10.3.2 Financial Performance

10.3.3 Recent Developments

10.3.4 Product Portfolio

10.4    IBM

10.4.1 Business Overview

10.4.2 Financial Performance

10.4.3 Recent Developments

10.4.4 Product Portfolio

10.5    Kofax

10.5.1 Business Overview

10.5.2 Financial Performance

10.5.3 Recent Developments

10.5.4 Product Portfolio

10.6    WorkFusion

10.6.1 Business Overview

10.6.2 Financial Performance

10.6.3 Recent Developments

10.6.4 Product Portfolio

10.7    Automation Anywhere

10.7.1 Business Overview

10.7.2 Financial Performance

10.7.3 Recent Developments

10.7.4 Product Portfolio

10.8    Appian

10.8.1 Business Overview

10.8.2 Financial Performance

10.8.3 Recent Developments

10.8.4 Product Portfolio

10.9    UiPath

10.9.1 Business Overview

10.9.2 Financial Performance

10.9.3 Recent Developments

10.9.4 Product Portfolio

10.10  Datamatics

10.10.1Business Overview

10.10.2Financial Performance

10.10.3Recent Developments

10.10.4Product Portfolio

10.11  AntWorks

10.11.1Business Overview

10.11.2Financial Performance

10.11.3Recent Developments

10.11.4Product Portfolio

10.12  Parascript

10.12.1Business Overview

10.12.2Financial Performance

10.12.3Recent Developments

10.12.4Product Portfolio

11        Conclusion and Recommendation

12        Acronyms and Abbreviations

Table of Content and Figure @ https://straitsresearch.com/report/intelligent-document-processing-market/toc

Market News

  • In March 2021, ABBYY launched the no-code platform Vantage 2 and AI Marketplace to reconceptualize digital transformation. Vantage 2 delivers ready-to-use AI skills for intelligent automation. The ABBYY Marketplace allows users to incorporate cognitive skills to accelerate their automation initiatives.
  • In July 2019, IBM enhanced the Datacap version 9.1.6. The new version updates OCR/A engine files, supports SQL Server, and improves the image ruleset for changing the color depth of an image.

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Artificial Intelligence

Southeast Asia Data Center Construction Market Investment to Reach $5.29 Billion by 2029 – Exclusive Research Report by Arizton

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southeast-asia-data-center-construction-market-investment-to-reach-$5.29-billion-by-2029-–-exclusive-research-report-by-arizton

CHICAGO, May 15, 2024 /PRNewswire/ — According to Arizton’s latest research report, the Southeast Asia data center construction market is growing at a CAGR of 11.69% during 2023-2029.

To Know More, Click: https://www.arizton.com/market-reports/southeast-asia-data-center-construction-market
Browse in-depth TOC on the Southeast Asia Data Center Construction Market 
 36 – Tables          116 – Figures          352 – Pages      
Southeast Asia Data Center Construction Market Report Scope
Report Attributes
Details
Market Size – Investment (2029)
USD 5.29 Billion
Market Size – Investment (2023)
USD 2.80 Billion
CAGR – Investment (2023-2029)
11.18 %
Market Size – Area (2029)
3,079 Thousand Square Feet
Power Capacity (2029)
578 MW
Historic Year
2020-2022
Base Year
2023
Forecast Year
2024-2029
Regional Analysis
Southeast Asia (Singapore, Indonesia, Malaysia, Thailand, Philippines, Vietnam, and Other Southeast Asia Countries)
The Southeast Asia data center construction market is one of the fastest-developing markets globally, driven by the increase in cloud adoption, the advent of 5G services, and the adoption of AI, Big data, and IoT technology. Singapore, Malaysia, Indonesia, and Thailand have robust connectivity and are among the most connected countries in Southeast Asia. Singapore is the gateway and an integral interconnection point to several APAC countries, including Japan, South Korea, Vietnam, and Pakistan. The adoption of cloud-based services will likely be a significant driver of the data center market over the next few years.
Moreover, Singapore boasts the largest existing capacity in the region, and countries such as Malaysia, Indonesia, and the Philippines are outpacing it in terms of new investments, collectively capturing over 50% of the market share for new investments. This trend can be attributed to several factors, including lower energy costs, increased renewable energy sources, and inexpensive labor and land availability. These factors are influencing companies’ decisions to invest in these emerging markets.
Watch Out for How Advancing in Adoption of AI Boosting the Market Growth
In June 2023, Run ai, a company that manages computing resources for AI tasks, announced a strategic partnership with AI Singapore. AI Singapore, a national R&D initiative led by the National Research Foundation, Singapore, aims to establish strong AI capabilities in the country. This collaboration aims to provide scalable infrastructure solutions for various AI projects and assist AI Singapore in its mission to expedite AI adoption across industries.AI Singapore, as the country’s AI initiative, holds a pivotal position in aiding organizations in adopting AI solutions. It has made significant strides through its notable 100 Experiments Programme (100E) and the acclaimed AI Apprenticeship Programme (AIAP). Collaborating with over 60 companies, they’ve trained over 200 Singaporean AI engineers to create, assess, and implement numerous AI models that tackle real-world challenges.While AI investments primarily focus on Singapore, nine out of the top 10 deals involved start-ups based in Singapore that cater to various businesses and use cases throughout the region. For instance, Biofourmis, a health analytics platform analyzing physiological data from clinical-grade wearables, operates in both Singapore and Indonesia. Similarly, Tookitaki, a sophisticated decision-support system for compliance programs in the financial services sector, extends its operations across the six major Southeast Asian countries.The Southeast Asia Colocation Data Center Market by Investment to Reach $4 Billion by 2029
In Southeast Asia, colocation investments in Singapore declined significantly over the last few years owing to the lack of space for new builds. This has led to the spill over demand toward Indonesia and Malaysia. The upcoming capacity of under-construction announced and planned data center campuses across these two countries will overtake Singapore’s existing colocation capacity. In the same year, BDx Indonesia, Chindata Group, EdgeConneX, Equinix, Keppel Data Centres, GDS Services, Princeton Digital Group, and others invested in developing colocation data center facilities in the region.
The Southeast Asia Data Center Construction Market Report Encompasses Crucial Data, Including:            CAGR (Compound Annual Growth Rate) during the forecast period: This metric provides insights into the annual growth rate of the Southeast Asia data center construction market over the specified time frame.            Detailed information on growth drivers: The report offers in-depth information on the factors that will propel the Southeast Asia data center construction market growth from 2023 to 2029. This includes an analysis of various market influences.            Precise estimation of market size: Accurate assessments of the Southeast Asia data center construction market size and its contribution and focusing on key market segments.            Predictions about upcoming trends and changes in consumer behavior: The report offers insights into anticipated trends and shifts in consumer behavior that are likely to impact the Southeast Asia data center construction market helping businesses prepare for future market dynamics.            Geographical market growth: The report covers the development of the data center construction market across Southeast Asia.Competitive landscape analysis: A thorough examination of the market’s competitive landscape is presented, including detailed information about companies operating in the Southeast Asia data center construction market. This includes an overview of key players, their market share, strategies, and key developments.            Analysis of growth challenges: The report includes a comprehensive analysis of factors that may pose challenges to the growth of companies in the Southeast Asia data center construction market, providing a well-rounded view of the market dynamics.     
Buy this Research @ https://www.arizton.com/market-reports/southeast-asia-data-center-construction-market
Post-Purchase Benefit                          
1hr of free analyst discussion10% off on customizationThe Report Includes the Investment in the Following Areas: 
Facility Type
Colocation Data CentersHyperscale Data CentersEnterprise Data CentersInfrastructure
Electrical InfrastructureMechanical InfrastructureGeneral ConstructionElectrical Infrastructure
UPS SystemsGeneratorsTransfer Switches & SwitchgearPDUsOther Electrical InfrastructureMechanical Infrastructure
Cooling SystemsRacksOther Mechanical InfrastructureCooling Systems
CRAC & CRAH UnitsChiller UnitsCooling Towers, Condensers & Dry CoolersOther Cooling UnitsCooling Techniques
Air-based CoolingLiquid-based CoolingGeneral Construction
Core & Shell DevelopmentInstallation & Commissioning ServicesEngineering & Building DesignFire Detection & SuppressionPhysical SecurityDCIM/BMS SolutionsTier Standard
Tier I & IITier IIITier IVGeography
Southeast Asia
SingaporeIndonesiaMalaysiaThailandPhilippinesVietnamOther Southeast Asia CountriesVendors
Key Construction Contractors
ArupAurecon GroupCSF GroupDSCO GroupGammon ConstructionNTT FacilitiesPM GroupStudio One DesignOther Prominent Construction Contractors
AtkinsRéalisAWP ArchitectsCorganDPR ConstructionFirst BalfourFortis ConstructionISGKienta Engineering ConstructionLinesightLSK EngineeringM+W GroupNakano CorporationObayashi CorporationPowerware SystemsSato KogyoRed EngineeringProminent Support Infrastructure Vendors
ABBCaterpillarCisco SystemsCumminsDell TechnologiesEatonRittalSchneider ElectricSTULZVertivOther Prominent Support Infrastructure Vendors
AiredaleAlfa LavalCanovateCyber Power SystemsDelta ElectronicsEAEFuji ElectricFujitsuGreen Revolution CoolingHewlett Packard EnterpriseHITEC Power ProtectionHuawei TechnologiesKOHLER PowerLegrandLenovoMitsubishi ElectricNaradaNortek Air SolutionsPiller Power SystemsRolls-RoyceShenzhen Envicool TechnologySiemensSocomecTraneProminent Data Center Investors
Amazon Web ServicesChindata Group (Bridge Data Centres)DCI IndonesiaDigital RealtyePLDTEquinixGDS ServicesKeppel Data CentresNTT DATAST Telemedia Global Data CentresTelkom IndonesiaVADS (Telekom Malaysia)Viettel IDCOther Prominent Data Center Investors
AirTrunkBeeinfotechBig Data Exchange (BDx)Converge ICT SolutionsDigital Edge DCMeta (Facebook)FPT TelecomGoogleMettaDCMicrosoftOneAsia NetworkOpen DCPrinceton Digital GroupSingtelVantage Data CentersNew Entrants
CtrlS DatacentersDigital HaloEdgeConneXEvolution Data CentresFlow Digital InfrastructureFutureData (Cyclect Group + TSG Group)Gaw CapitalI-BerhadInfinaxis Data CentreInfracrowd CapitalK2 Data CentresMinoro Energi IndonesiaNautilus Data TechnologiesPure Data Centres GroupYCO CloudYTL Data CenterYondrKey Questions Answered in the Report:
How big is the Southeast Asia data center construction market?What is the estimated market size in terms of area in the Southeast Asia data center construction market by 2029?What is the growth rate of the Southeast Asia data center construction market?What are the key trends in the Southeast Asia data center construction market?How many MW of power capacity is expected to reach the Southeast Asia data center construction market by 2029?
Get Detailed TOC @ https://www.arizton.com/market-reports/southeast-asia-data-center-construction-market
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Arizton comprises a team of exuberant and well-experienced analysts who have mastered generating incisive reports. Our specialist analysts possess exemplary skills in market research. We train our team in advanced research practices, techniques, and ethics to outperform in fabricating impregnable research reports.                                                            
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Doceree Launches HIEP to Unveil the Untapped Potential of Healthcare Digital Platforms

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LONDON, May 15, 2024 /PRNewswire/ — Doceree, the leading global healthcare marketing platform building unprecedented programmatic solutions for HCP marketing, today announced the launch of its highly anticipated HIEP (High Interaction & Engagement Platforms) UK and Europe edition. Presented in collaboration with WPP’s healthcare specialist agency CMI Media Group, the groundbreaking report profiles endemic, point-of-care, and physician networking platforms in a digital engagement context, shedding light on their potential to power interactions and drive communications in the healthcare industry.

In the current landscape, the healthcare sector exhibits preference for an omnichannel marketing approach that effectively combines digital and traditional channels. This shift underscores the critical importance for pharmaceutical marketers to excel in digital strategies. Yet, challenges persist within the pharmaceutical and life sciences industries regarding the optimal selection of digital platforms to engage healthcare professionals (HCPs), as marketers often lack a comprehensive understanding of the available digital tools to formulate precise strategies for digital budget allocation.
To bridge this knowledge gap, and empower marketers with better engagement and decision-making, Doceree introduced HIEP as a medium that could help brands forge neatly choreographed digital strategies, thereby bringing efficiency to operations at scale and improve business outcomes. The report focuses on how the digital medium can be harnessed to create a win-win situation for all the stakeholders—marketers, in terms of efficiency; publishers, in terms of revenue; HCPs, for knowledge exchange and for better treatment outcomes.
Commenting on the report launch, Harshit Jain MD, Founder & Global CEO, Doceree, said, ” We are thrilled to introduce the HIEP report (UK/EU edition) as it marks a significant step forward in advancing healthcare marketing strategies in the UK and Europe and leveraging the power of digital platforms to engage HCPs effectively in the region. What’s particularly exciting is how marketers can effortlessly map and track HCPs’ digital interactions and engagement, and fine-tune omnichannel marketing campaigns, to ultimately amplifying impact and generate superior returns on investment with HIEP. We anticipate that this report will greatly benefit our pharmaceutical and agency partners in the UK & Europe region, and we are eager to replicate this success in other regions throughout the year”. 
Commenting on the initiative, Joe Warren, EVP, Growth, CMI Media Group, said, “Collaborating with Doceree on the HIEP initiative allows us to shed light on the global impact marketers can make in healthcare. This partnership reaffirms our commitment to enhancing healthcare outcomes in the region and underscores the importance of understanding channels and partners for crafting superior omnichannel strategies. Together, we aim to drive awareness and empower marketers with the insights they need to make a meaningful impact in healthcare marketing.”
Key highlights of the HIEP report include:
In-depth analysis of endemic, point-of-care, and physician networking platformsCase studies showcasing successful integration of digital platforms in healthcare marketingRecommendations for optimizing omnichannel marketing campaigns and maximizing ROIThe report by Doceree has been meticulously crafted in collaboration with research partner Brand Innerworld and is proudly presented in association with CMI Media Group, a distinguished global media agency recognized for its significant contributions to the healthcare sector.
For more information about Doceree and the HIEP report, visit https://doceree.com/in/reports/hiep/
About Doceree: 
Doceree is a leading global platform dedicated to revolutionizing HCP programmatic messaging with cutting-edge, proprietary data tools. By fostering direct messaging between life sciences brands and HCPs, Doceree enables the delivery of personalized communications through an extensive global network of digital endemic and point-of-care platforms. The result is transparent marketing campaign metrics and personalized messaging at scale. To explore how Doceree can transform your healthcare communication. Learn more at www.doceree.com. 
About CMI Media Group:
CMI Media Group, a WPP company (NYSE: WPP, http://www.wpp.com), is a full-service media agency focused solely on health, wellness, and pharmaceutical marketing. CMI Media Group’s core offerings include Audience Strategy, Planning, Development, and Insights; Data and Analytics; Buying and Investment; and Direct Response and Customer Experience. As the leading media resource for the world’s top healthcare companies, CMI Media Group brings together leading technology, data, and talent to deliver seamless capabilities for clients. CMI Media Group has been recognized as a leader in DE&I, talent retention and employee development as well as one of the industry’s best places to work. Visit https://cmimediagroup.com/.
About Brand Innerworld:
Brand Innerworld is a leading healthcare brand consultancy and insight mining firm providing specialized solutions with the help of AI technology. The consultancy is dedicated to transforming healthcare brands into market leaders. With meticulous primary and secondary research, the firm captures deep insights into the experiences of healthcare professionals and patients. Specializing in blending these insights with marketing and media acumen, Brand Innerworld equips healthcare brands with actionable strategies that enhance patient outcomes and brand growth. Serving multinational healthcare corporations, medical device companies, and tech platforms, Brand Innerworld is recognized for its innovative approach to medical marketing. Learn more about Brand Innerworld at https://brandinnerworld.com 
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Trianz Appoints Ravishankar Savita as Head of Data & Analytics Practice, Reaffirming Commitment to Data-Driven Transformation Excellence

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SANTA CLARA, Calif., May 15, 2024 /PRNewswire/ — Digital transformation technology & services company Trianz is pleased to announce the appointment of Ravishankar Savita as the Head of Data & Analytics Practice. With over two decades of experience in technology transformation and system engineering, Ravishankar brings a wealth of strategic leadership and expertise in architecting and leading large scale digital transformation to Trianz.

Ravishankar’s appointment marks a pivotal moment for Trianz as it reaffirms its commitment to redefine the digital landscape through an “IP Led” model, leveraging its cutting-edge hyper-automated platforms, including Concierto.Cloud, Extrica.AI, and Pulse. Ravishankar’s demonstrated success in scaling practices, cultivating innovation ecosystems, and fostering strategic partnerships position him as a key asset in spearheading the Data & Analytics Practice.
“We are thrilled to welcome Ravishankar Savita to Trianz as our new Head of Data & Analytics Practice,” said Seshi Vanguru, Chief Revenue Officer at Trianz. “His strategic acumen, strong analytical skills, and exceptional ability to cultivate meaningful relationships will play a pivotal role in driving tangible business outcomes and fostering sustainable growth within our Data & Analytics Practice. As we continue to innovate and deliver transformative solutions to our clients, Ravishankar’s leadership will undoubtedly strengthen our commitment to driving value and excellence in the data-driven era.”
Ravishankar’s distinguished career includes senior leadership roles at renowned organizations such as Virtusa, Agilent Technologies, and NXP Semiconductors, where he incubated and scaled high performing offerings, platforms, and teams to drive business value in Data & Analytics, AI, API Integration, Microservices, SDLC Automation, Middleware Solutions, Application Modernization, and Generative AI.
“I am excited to join Trianz and lead the Data & Analytics Practice during this transformative era of digital evolution,” said Ravishankar. “I look forward to collaborating with the exceptional team at Trianz to deliver innovative solutions that not only meet but exceed our clients’ expectations. By leveraging cutting-edge, IP-led solutions, we’ll not only redefine the industry standards but also solidify our reputation as the go-to partner for forward-thinking organizations seeking to unlock the full potential of their data assets.”
Based in New Jersey, US, Ravishankar will leverage his expertise to accelerate Trianz’s growth trajectory in the data-driven landscape. Join us in extending a warm welcome to Ravishankar as we set out on this exciting journey to drive digital innovation and empower businesses to thrive in the data-driven era.
About TrianzTrianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. Our “IP Led Transformations” approach, informed by insights from a recent global study spanning 20+ industries and 5000+ companies, addresses challenges posed by the rapid pace of AI-driven transformation, digital talent scarcity, and economic uncertainty. Our IP and platforms, including Concierto, Extrica, and Pulse, revolutionize cloud adoption, data analytics, and AI insights, empowering organizations to navigate the complexities of digital transformation seamlessly.
Founded in California and with an organization of over 2,000 associates across the United States and India, Trianz is a Premier Partner of AWS, consistently rated #1 by clients for value delivery over the past five years. Trianz has been ranked as one of the best Consulting Firms by Forbes and has been certified as a Great Place to Work for three years in a row. To learn more about Trianz, email [email protected] or visit www.trianz.com.
Watch Trianz CEO Sri Manchala’s insightful interview with Bloomberg on Partner | Crossing The Digital Faultline & Leading Towards Transformative Success – YouTube and delve deeper into his book Crossing the Digital Faultline at Crossing the Digital Faultline | Trianz.
Trianz Media Team
[email protected] +1-408-387-5800
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