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Marketing Attribution Software Market Anticipated to Garner USD 12.4 Billion at a CAGR of 13.50% by 2030 – Report by Market Research Future (MRFR)

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New York, USA, April 29, 2023 (GLOBE NEWSWIRE) — According to a comprehensive research report by Market Research Future (MRFR), ”Global Marketing Attribution Software Market: By Component, Attribution Type, Deployment, Vertical – Global Forecast till 2030” will touch USD 12.4 billion at a 13.50% CAGR by 2030. The report provides a comprehensive analysis of the market’s drivers, challenges, segmentation, regional analysis, industry trends, key players, recent developments, and opportunities.

Marketing Attribution Software Industry Key Players

Some of the key players in the global marketing attribution software market include:

  • Adobe Inc.
  • Google LLC
  • Salesforce.com, Inc.
  • IBM Corporation
  • The Nielsen Company (US)
  • Neustar, Inc.
  • Rakuten Marketing LLC
  • Visual IQ, Inc.
  • LeadsRx,

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Report Scope:

Report Attribute/Metric Details
  Market Size   12.4 billion (2030)
  CAGR   13.50 (2022-2030)
  Base Year   2021
  Forecast Period   2022-2030
  Historical Data   2020
  Forecast Units   Value (USD Million)
 Key Market Drivers The major growth driver for the market is growing need to optimize the marketing spending of enterprise. Another factor is the requirement of effective tracking of customer behavior for targeted marketing activities.

Drivers

The increasing demand for advanced attribution tools to measure the effectiveness of marketing campaigns is the primary driver of the market’s growth. As businesses continue to shift their focus from traditional advertising to digital marketing, the need for accurate and real-time insights into the performance of campaigns has become more critical than ever before.

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Moreover, the rising adoption of artificial intelligence (AI) and machine learning (ML) technologies in marketing attribution software is expected to fuel the market’s growth. These technologies enable marketers to gain deep insights into customer behavior and preferences, thereby helping them to create more targeted and personalized marketing campaigns.

Challenges

One of the major challenges faced by the marketing attribution software market is the high cost of implementation and maintenance. Many businesses, especially small and medium-sized enterprises (SMEs), may find it difficult to afford these solutions, which can limit the market’s growth to some extent.

Moreover, data privacy and security concerns remain a significant challenge for the market’s growth. With the increasing use of customer data to personalize marketing campaigns, businesses need to ensure that they comply with data privacy regulations to avoid potential legal and reputational risks.

Market Segmentation

The global marketing attribution software market is segmented on the basis of component, attribution type, deployment, organization size, and vertical.

By component, the market is segmented into software and services. The software segment is further divided into standalone software and integrated software. The services segment is further divided into professional services and managed services.

By attribution type, the market is segmented into single-touch attribution and multi-touch attribution.

By deployment, the market is segmented into on-premises and cloud-based.

By organization size, the market is segmented into small and medium-sized enterprises (SMEs) and large enterprises.

By vertical, the market is segmented into retail, healthcare, BFSI, IT and telecom, travel and hospitality, and others.

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Regional Analysis

The global marketing attribution software market is segmented into North America, Europe, Asia-Pacific, and the rest of the world.

North America is expected to hold the largest market share during the forecast period, owing to the presence of a large number of established players in the region, as well as the increasing adoption of digital marketing technologies in the region.

Asia-Pacific is expected to grow at the highest CAGR during the forecast period, owing to the rapid digitization of businesses in the region and the increasing adoption of cloud-based solutions.
Industry Trends

One of the key trends in the marketing attribution software market is the increasing adoption of machine learning (ML) and artificial intelligence (AI) technologies. These technologies enable marketers to gain deep insights into customer behavior and preferences, thereby helping them to create more targeted and personalized marketing campaigns.

Moreover, the rising demand for cloud-based solutions is expected to fuel the market’s growth. Cloud-based solutions offer several benefits, including cost-effectiveness, scalability, and flexibility, which are driving their adoption among businesses of all sizes.

Recent Developments

In recent years, the marketing attribution software market has witnessed several developments, including product launches, partnerships, and acquisitions. Some of the notable developments in the market include:

  • In October 2022, Adobe Inc. launched a new version of its marketing attribution software, Adobe Attribution, which includes advanced AI and machine learning capabilities to help marketers gain deeper insights into customer behavior.
  • In March 2023, Google LLC partnered with Neustar, Inc. to integrate its marketing attribution software, Google Attribution, with Neustar’s customer intelligence and identity management platform. The partnership is expected to provide marketers with a more comprehensive view of customer journeys and enable them to optimize their campaigns more effectively.
  • In February 2023, Salesforce.com, Inc. announced the acquisition of Visual IQ, Inc., a leading provider of marketing attribution software. The acquisition is expected to strengthen Salesforce’s position in the marketing analytics market and enable it to provide more advanced attribution solutions to its customers.

Opportunities

The marketing attribution software market presents several opportunities for growth and innovation in the coming years. Some of the key opportunities in the market include:

Integration with other marketing technologies: Marketing attribution software can be integrated with other marketing technologies, such as customer relationship management (CRM) software, email marketing software, and social media management tools, to provide a more comprehensive view of customer journeys and enable marketers to optimize their campaigns more effectively.

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Expansion into new verticals: The marketing attribution software market is currently dominated by a few key verticals, such as retail and healthcare. However, there is significant potential for growth in other verticals, such as manufacturing, education, and government, as these industries continue to adopt digital marketing technologies.

Development of advanced AI and ML capabilities: The development of advanced AI and ML capabilities in marketing attribution software is expected to be a key area of focus in the coming years. These technologies can help marketers gain deeper insights into customer behavior and preferences, and enable them to create more targeted and personalized marketing campaigns.

Focus on data privacy and security: With the increasing use of customer data in marketing campaigns, businesses need to ensure that they comply with data privacy regulations to avoid potential legal and reputational risks. Marketing attribution software vendors that focus on data privacy and security are likely to have a competitive advantage in the market.

Conclusion

The global marketing attribution software market is expected to grow at a CAGR of 15.6% from 2023 to 2028, driven by the increasing demand for advanced attribution tools and the rising adoption of AI and ML technologies. The market presents several opportunities for growth and innovation, including integration with other marketing technologies, expansion into new verticals, development of advanced AI and ML capabilities, and a focus on data privacy and security. Recent developments, such as product launches, partnerships, and acquisitions, are expected to further fuel the market’s growth in the coming years.

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About Market Research Future:

Market Research Future (MRFR) is a global market research company that takes pride in its services, offering a complete and accurate analysis regarding diverse markets and consumers worldwide. Market Research Future has the distinguished objective of providing the optimal quality research and granular research to clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help answer your most important questions.

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Email: [email protected]
Website: https://www.marketresearchfuture.com
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Artificial Intelligence

Cisco Doubles Down on Network Assurance with AWS

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News Summary: 
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)
Availability
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 Intelligence

Artificial Neural Network Market to Reach $1.4 Billion by 2032 at 19.9% CAGR: Allied Market Research

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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. 
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Report coverage & details:
Report Coverage
Details
Forecast Period
2023–2032
Base Year
2022
Market Size in 2022
$227.8 Million
Market Size in 2032
$1.4 Billion
CAGR
19.9 %
No. of Pages in Report
450
Segments covered
Component, Deployment Mode, Enterprise Size Industry, and Region.
Drivers
Growing demand for AI-based solutions
The rising need for intelligent business processes
Opportunities
Advancements in big data analytics.
The availability of high-performance computing systems.
Restraints
A lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN)
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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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Competition Analysis:
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. 
AVENUE- A Subscription-Based Library (Premium on-demand, subscription-based pricing model):
AMR introduces its online premium subscription-based library Avenue, designed specifically to offer cost-effective, one-stop solution for enterprises, investors, and universities. With Avenue, subscribers can avail an entire repository of reports on more than 2,000 niche industries and more than 12,000 company profiles. Moreover, users can get an online access to quantitative and qualitative data in PDF and Excel formats along with analyst support, customization, and updated versions of reports.
Get an access to the library of reports at any time from any device and anywhere. For more details, follow the link: https://www.alliedmarketresearch.com/library-access
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About Us:
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports Insights” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies, and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
Contact:David Correa1209 Orange Street,Corporation Trust Center,Wilmington, New Castle,Delaware 19801 USA.Int’l: +1-503-894-6022Toll Free: +1-800-792-5285UK: +44-845-528-1300India (Pune): +91-20-66346060Fax: [email protected]
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Artificial Intelligence

New process definition capabilities in PIMS further enhance quality assurance and “right -first-time” initiatives for pharma manufacturers

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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.
About IDBS
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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