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Analytics Market to Grow by USD 286.5 Billion from 2024-2028, with AI Driving Market Transformation Amid Increasing Data Availability and Complexity – Technavio

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NEW YORK, Sept. 24, 2024 /PRNewswire/ — Report on how AI is driving market transformation- The global analytics market size is estimated to grow by USD 286.5 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  15.06%  during the forecast period. Growing availability and complexity of data is driving market growth, with a trend towards growing advances in nlp, ml, and ai technologies. However, data privacy and security concerns  poses a challenge. Key market players include Accenture Plc, Alphabet Inc., Amazon.com Inc., Dell Technologies Inc., Infor Inc., Informatica Inc., Infosys Ltd., International Business Machines Corp., Open Text Corporation, Microsoft Corp., MicroStrategy Inc., Oracle Corp., QlikTech international AB, Salesforce Inc., SAP SE, SAS Institute Inc., TIBCO Software Inc., Wipro Ltd., and WNS Holdings Ltd..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View the snapshot of this report

Analytics Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 15.06%

Market growth 2024-2028

USD 286.5 billion

Market structure

Fragmented

YoY growth 2022-2023 (%)

13.27

Regional analysis

North America, Europe, APAC, Middle East and Africa, and South America

Performing market contribution

North America at 30%

Key countries

US, China, UK, Germany, and India

Key companies profiled

Accenture Plc, Alphabet Inc., Amazon.com Inc., Dell Technologies Inc., Infor Inc., Informatica Inc., Infosys Ltd., International Business Machines Corp., Open Text Corporation, Microsoft Corp., MicroStrategy Inc., Oracle Corp., QlikTech international AB, Salesforce Inc., SAP SE, SAS Institute Inc., TIBCO Software Inc., Wipro Ltd., and WNS Holdings Ltd.

Market Driver

The analytics market is experiencing significant growth due to advancements in Natural Language Processing (NLP), processing speed, and Machine Learning (ML) models. Artificial Intelligence (AI), a technology in the AI field, is a key driver of this growth. Companies worldwide are investing in AI to develop systems that can interpret data contextually, provide analysis, and trigger activities based on findings. ML and neural network techniques enable machines to think more like humans, reducing human errors, creating precise analytic models, and transforming data-collecting devices into powerful analytic tools. Applications such as natural-language-based search interfaces, automated suggestions, and automated model building are being developed using AI/ML algorithms to help analysts and users find meaningful insights easily. Organizations are utilizing these technologies to enhance operational efficiencies, better understand customer behaviors, and gain a competitive edge. ML is being used for traditional analysis purposes, including fraud and risk analysis, customer behavior analysis, and asset management for preventive maintenance. Analytics solutions from vendors offer these capabilities, ensuring businesses remain relevant and advanced in their industries. 

Businesses are increasingly leveraging data analytics to gain insights and drive corporate growth. Historical trends show a significant shift towards statistical strategy in managing data. Big data analytics is a major trend, with large enterprises leading the way. Social media analytics and text analytics are key business prospects, providing valuable information from advertising campaigns, product promotions, events, and social media platforms. Client demands for real-time data analysis are on the rise, requiring advanced analytical tools and machine learning algorithms. Security is a growing concern, with real-time security, network security, data loss incidents, and cyberattacks becoming common issues. Mobile technology and Internet-connected devices, including mobile networks, Wi-Fi, and the Internet of Things, are generating massive volumes of unstructured data. SaaS-based data analytics, customer analytics, and edge computing are popular solutions for managing this data. Industrial IoT and the retail sector are major areas of focus, with the omnichannel experience a key business opportunity. IT infrastructure, web, and security are critical areas of investment for businesses in today’s data-driven world. Theft and fraud are significant challenges, with the cloud segment offering potential solutions. 

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Market Challenges

The Internet of Things (IoT) revolution has led to an increased interconnectivity and data sharing, posing significant challenges for data privacy and security in organizations. With the growing number of devices connected to the Internet and dependent on private and public networks, securing the transfer of critical data becomes essential. IoT networks consist of multiple devices, increasing the risk of data theft. Cybersecurity concerns have become more prevalent as the physical and virtual worlds converge, leading to potential economic losses from cyber-attacks. From a customer perspective, sharing personal data raises serious concerns. Many consumers are unaware of the extent of data being shared with companies and how third-party vendors use it. In January 2022, a hacker gained unauthorized access to Crypto.com, compromising 483 user wallets and resulting in a loss of approximately USD33.8 million in cryptocurrency. Such incidents highlight the importance of addressing privacy and security issues. Despite regulations tightening around data safety, cybercrimes continue to occur. These factors may hinder the growth of the analytics market during the forecast period.In today’s IT industry, analytics is undergoing an industrial revolution. Automation is a major challenge for businesses as they adopt smart applications in various sectors. In agriculture, GPS-equipped tractors and soil sensors are revolutionizing farming. In industries, smart machines and IoT are transforming production. The predictive analytics segment is a game-changer for client experience management, customer retention, and lead management. Security intelligence is crucial to prevent fraudulent activity. Businesses use business intelligence software for data mining in banking, healthcare, telecom, and more. Supply chain management and enterprise resource planning rely on prescriptive and descriptive analytics. Data management, data monitoring, and database management are essential for data security. Human resource management also benefits from analytics. Digital marketing, including Google Ads, e-commerce, email campaigns, and social media advertising, uses analytics for effective targeting. Overall, analytics is a key driver for growth in various sectors.

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Segment Overview 

This analytics market report extensively covers market segmentation by  

Component 1.1 Services1.2 Software1.3 HardwareEnd-user 2.1 BSFI2.2 Manufacturing2.3 Retail2.4 Healthcare2.5 OthersGeography 3.1 North America3.2 Europe3.3 APAC3.4 Middle East and Africa3.5 South America

1.1 Services-  The Analytics Market is a significant business sector that uses data to gain insights and make informed decisions. Companies in various industries rely on analytics to understand customer behavior, optimize operations, and identify new opportunities. The market is driven by the increasing availability of data and the need for businesses to gain a competitive edge. Analytics solutions help organizations improve efficiency, reduce costs, and enhance customer experience. Key players in the market include IBM, Microsoft, Oracle, SAS, and SAP.

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Research Analysis

The analytics market is experiencing significant growth as businesses increasingly rely on data to drive corporate growth and gain a competitive edge. Historical trends indicate a shift towards big data analytics, with companies leveraging statistical strategy to derive insights from vast amounts of data. This includes social media analytics for understanding consumer behavior and text analytics for sentiment analysis. Machine learning and artificial intelligence are key technologies driving this trend, enabling individualized consumer experiences in sectors like online shopping and advertising campaigns. Social networking platforms, Google Ads, email campaigns, and social media advertising are major areas of investment. Business prospects are further enhanced by the integration of analytics into business intelligence software, ERP systems, SCM, HRM, and database management. Data security remains a critical concern, with advanced analytics solutions providing protection against cyber threats.

Market Research Overview

The analytics market is a dynamic and evolving industry focused on extracting valuable insights from data to drive corporate growth and make informed business decisions. Historical trends indicate a significant shift towards big data analytics, particularly in the large enterprise segment. Business prospects are vast, with applications ranging from social media analytics and text analytics for advertising campaigns and product promotions to client demands for personalized consumer experiences in retail and online shopping. The rise of mobile devices and internet-connected devices, including the Internet of Things (IoT), machine learning algorithms, and artificial intelligence, have expanded the scope of data analytics. However, security issues, such as real-time security, network security, data loss incidents, and cyberattacks, remain critical concerns. Industries like retail, banking, and IT are leading the way in adopting advanced analytics tools, including edge computing, SaaS-based data analytics, and business intelligence software. The predictive analytics segment is also gaining traction, offering opportunities for risk-related decisions, fraudulent transaction detection, and customer retention. The future of analytics is bright, with advancements in machine learning, AI, automation, and smart applications set to revolutionize industries, from agriculture and manufacturing to transportation and healthcare. However, addressing security challenges and ensuring data privacy will remain essential to the success of analytics initiatives.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ComponentServicesSoftwareHardwareEnd-userBSFIManufacturingRetailHealthcareOthersGeographyNorth AmericaEuropeAPACMiddle East And AfricaSouth America

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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AFP Launches No Code AI for Finance Certificate to Upskill Finance Teams

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New certificate empowers financial professionals with real-world AI skills that don’t require programming expertise

ROCKVILLE, Md., April 29, 2026 /PRNewswire/ — The Association for Financial Professionals (AFP) announced the launch of its No Code AI for Finance Certificate Program. Taught by an AI expert with a background in finance and operations, the virtual on-demand program goes beyond theory, providing practical applications of AI in finance.

Key takeaways

Practical curriculum: The certificate course, developed through feedback from finance practitioners, provides hands-on exercises and lessons on building a data foundation, training and interpreting machine learning models, generating insights with generative AI and embedding ethics in AI adoptionSelf-paced learning: Once registered for the certificate, eight hours of on-demand content across four modules are available in AFP Learn.Professional recognition: The certificate course is eligible for 9.6 CTP, FPAC and CCM Credits and provides a Digital Badge and printable certificate upon successful completion.

Why it matters
The finance function is at a critical turning point. Data volumes are growing while finance professionals are increasingly being asked to do more with less. The No Code AI for Finance Certificate equips teams to scale their impact by automating labor-intensive workflows and speeding up processes while maintaining accuracy.

Comprehensive curriculum
The certificate program includes four modules that are tailored to the specific needs of finance professionals:

Data Foundations for Trustworthy Finance Analytics: Learn about decision cycles AI can shorten, mitigation tactics for AI hallucinations, and the difference between supervised, unsupervised and generative tasks.Understanding the Full Machine Learning Process and Its Results: Learn to frame finance machine learning problems correctly, choose and defend the right success metrics for each task and translate model results into business-ready insights.Generative AI for Finance: Smarter Questions, Faster Insights: Learn to write prompts for GenAI, generate and refine GenAI-supported data-prep code, pressure test insights with GenAI and apply guardrails for GenAI.From AI Capability to Adoption & Ethics by Design: Learn to select and prioritize a first AI pilot, design an operating cadence, draft an ethics and risk control sheet, and define ROI and adoption KPIs.

Each module includes downloadable assets to help learners apply the lessons to their day-to-day work.

Key quote
“At AFP, we recognized a clear need for training that addresses finance-specific applications of AI. This certificate acts as a bridge to connect financial professionals to the transformative power of AI, ensuring they remain the indispensable strategic partners their organizations require,” said Pat Culkin, President & CEO of AFP.

Ready to lead AI adoption in your finance team?
Enroll in the certificate program and begin working toward the No Code AI for Finance Certificate.

FAQs
Who should enroll in this certificate program?
The program is designed for financial professionals at all levels looking to integrate AI into their workflows.

Are there any prerequisites for the course?
There are no prerequisites for this course. It is accessible to professionals of all technical backgrounds. No coding knowledge is required.

How is the course delivered?
The course consists of eight hours of on-demand content across four modules, which can be completed at the learner’s own pace.

How much does it cost to enroll in the certificate program?
The certificate program is $295 for AFP members and $495 for non-members.

About AFP®
Headquartered outside of Washington, D.C., and located regionally in Singapore, the Association for Financial Professionals (AFP) is the professional society committed to advancing the success of treasury and finance members and their organizations. Established and administered by AFP, the Certified Treasury Professional and Certified Corporate FP&A Professional credentials set standards of excellence in treasury and finance. Each year, AFP hosts the largest networking conference worldwide for about 7,000 corporate financial professionals.

Media contact
Joe Hodanich
Senior Director, Digital Strategy & Content
Association for Financial Professionals
Email: jhodanich@financialprofessionals.org

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SOURCE Association for Financial Professionals

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KT Corp. Files 2025 Annual Report on Form 20-F

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SEOUL, South Korea, April 29, 2026 /PRNewswire/ — KT Corporation (NYSE: KT), South Korea’s largest integrated telecom and digital platform service provider, announced that it has filed its Form 20- F Annual Report on April 29th, 2026 for the year ended December 31, 2025 with the Securities and Exchange Commission of the United States. The report can be accessed on KT’s English website at https://corp.kt.com/eng in the Investors section under Business Report as well as the SEC’s Edgar database at www.sec.gov. Shareholders may also request a hard copy of the Form 20-F Annual Report that includes audited financial statements of 2025, free of charge, by sending an e-mail to the Company’s IR department at ktir@kt.com.

About KT Corporation (KRX: 030200; NYSE: KT)

KT Corporation is the leading integrated telecommunications and platform service provider based in South Korea. Principal services include mobile, Broadband, IPTV, B2B communications, and fixed-line telephony. The Company has industry-leading market presence in Broadband, media services, and fixed-line telephony by maintaining the No.1 market share positions. Also, the Company is the No.1 player in B2B communications and offers a wide range of digital transformation services (DC, Cloud, AI, etc.). Additionally, the Company possesses a well-balanced portfolio of diverse subsidiaries focusing on media/content, financial services, real estate developments, and commerce industries.

Forward-Looking Statements

This communication contains “forward-looking statements” that are based on our current expectations, assumptions, estimates and projections about us and the industries in which we operate. The forward-looking statements are subject to various risks and uncertainties. Generally, these forward-looking statements can be identified by the use of forward-looking terminology such as “anticipate,” “believe,” “estimate,” “expect,” “intend,” “project,” “should,” and similar expressions. Those statements include, among other things, the discussions of our business strategy and expectations concerning our market position, future operations, margins, profitability, liquidity and capital resources. We caution you that reliance on any forward-looking statement involves risks and uncertainties, and that although we believe that the assumptions on which our forward-looking statements are based are reasonable, any of those assumptions could prove to be inaccurate, and, as a result, the forward-looking statements based on those assumptions could be incorrect. The uncertainties in this regard include, but are not limited to, those identified in the risk factors discussed above. In light of these and other uncertainties, you should not conclude that we will necessarily achieve any plans and objectives or projected financial results referred to in any of the forward-looking statements. We do not undertake to release the results of any revisions of these forward-looking statements to reflect future events or circumstances.

IR department:
+82-70-4193-4036
ktir@kt.com

View original content:https://www.prnewswire.com/news-releases/kt-corp-files-2025-annual-report-on-form-20-f-302757200.html

SOURCE KT Corp.

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SK TELECOM CO. LTD. FILES ITS ANNUAL REPORT ON FORM 20-F

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SEOUL, South Korea, April 29, 2026 /PRNewswire/ — On April 29, 2026, SK Telecom Co., Ltd. filed its Annual Report on Form 20-F for the year ended December 31, 2025 with the U.S. Securities and Exchange Commission. The 2025 Annual Report on Form 20-F can be viewed on www.sktelecom.com, as well as from the website of the U.S. Securities and Exchange Commission at www.sec.gov. Printed copies of SK Telecom’s complete audited financial statements (including footnotes) as of and for the year ended December 31, 2025 can be requested, free of charge, by written request to skt.ir@sk.com.

View original content:https://www.prnewswire.com/news-releases/sk-telecom-co-ltd-files-its-annual-report-on-form-20-f-302757201.html

SOURCE SK Telecom Co., Ltd

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