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Causal AI Market worth $456.8 million by 2030- Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Dec. 13, 2024 /PRNewswire/ — The Causal AI Market is slated to expand from USD 56.2 million in 2024 to USD 456.8 million by the year 2030 at an impressive CAGR of 41.8% over the forecast period, according to a new report by MarketsandMarkets™. 

Browse in-depth TOC on “Causal AI Market”

330 – Tables
54 – Figures
331 – Pages

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2030

Base year considered

2023

Forecast period

2024–2030

Forecast units

USD (Million)

Segments covered

Offering, Application, Vertical and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

IBM (US), Google (US), Microsoft (US), Dynatrace (US), Cognizant (US), Logility (US), Datarobot (US), CausaLens (UK), Aitia (US), Taskade (US), Causely (US), Causaly (UK), Causality Link (US), Xplain data (Germany), Parabole.AI (US), Datma (US), Incrmntl (Israel), Scalnyx (France), Geminos (US), Data Poem (US), CausaAI (Netherlands), Causa (UK), Lifesight (US), Actable AI (UK), biotx.ai (Germany), Howso (US), VELDT (Japan), and CML Insight (US)

The Causal AI Market is witnessing sharp expansion as it can address important issues that traditional AI finds difficult to resolve. This need for transparency, trust, and actionable insights is driving the adoption of causal AI. The adoption of causal AI is being driven by the demand for transparency, trust, and actionable insights in critical sectors such as healthcare, finance, and supply chain management. Causal AI is an essential tool for companies wanting to remain competitive in a data-driven world, as it can reveal cause-and-effect relationships and improve decision-making. For example, companies are using causal AI to comprehend the real factors behind customer behavior, improve marketing tactics, or forecast the consequences of operational choices. Moreover, improvements in data accessibility, computing capabilities, and user-friendly interfaces are reducing obstacles for organizations of all sizes to adopt causal AI solutions.

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By offering, causal inference tools segment will register the fastest growth rate over the forecast period owing to enhanced decision making across diverse scenarios

Causal inference tools are becoming the most rapidly expanding segment in the Causal AI Market because of their adaptability and availability in various industries. These tools give organizations the ability to discover cause-and-effect relationships within their data, allowing for accurate decision-making in fields such as marketing, healthcare, and operations. Businesses are starting to realize the drawbacks of AI that relies on correlations, as it only detects patterns without providing explanations for outcomes. Causal inference tools help to close this divide by providing useful information that can be used to shape strategies, like determining which marketing campaigns increase customer engagement or studying the factors that impact patient recovery. Their growth is also fueled by the availability of intuitive, user-friendly interfaces that allow non-technical users to apply complex causal analysis without requiring deep expertise. Causal inference tools are becoming essential as organizations require more accountability and transparency in their decision-making, leading to their quick adoption.

Rising adoption of causal AI to augment financial decision making with cause-and-effect analysis will push BFSI as the largest vertical by market size in 2024

The BFSI vertical is poised to hold the largest market share in the Causal AI Market, fueled by its requirements for clarity, risk control, and practical information. Causal AI helps financial institutions tackle ever-changing, regulated environments where comprehending the reasons behind events is just as important as foreseeing them. For instance, JPMorgan Chase utilizes causal AI to pinpoint the underlying reasons for customer turnover, enabling specific actions to keep valuable customers. In the same way, Citibank employs causal models to evaluate the effects of different credit risk strategies, leading to enhanced loan approval procedures and a decrease in defaults. In the insurance industry, firms such as Allstate have implemented causal AI to enhance the identification of claim fraud by pinpointing actions that are closely linked to fraudulent behavior, resulting in a documented decrease of over 10% in unnoticed fraud. In addition, insurance companies employ causal AI to customize policy suggestions by examining the specific reasons for customer preferences, greatly improving customer contentment. Compliance with regulations continues to drive the increase in adoption. For example, HSBC uses causal AI to comply with AML laws by identifying causal connections in transaction data, simplifying investigations, and avoiding significant penalties. The use of causal AI in precise decision-making, along with its demonstrated effects on profitability and compliance, cements BFSI as the top vertical in the market.

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Asia Pacific is set to become the fastest growing region over the forecast period, fueled by increasing investments in responsible AI deployment for decision-making

Several key factors are driving rapid growth in the Causal AI Market in the Asia Pacific. Governments and businesses in the APAC region, specifically in nations such as China, Japan, and India, are making significant investments in AI innovation to promote the development and utilization of causal AI technologies. Sectors like healthcare and finance in the region are utilizing causal AI to enhance decision-making and operational efficiency. Hospitals in Singapore are using causal AI in healthcare to enhance treatment plans, leading to a substantial enhancement in patient results. Banks in India are using causal AI in the financial industry to improve fraud detection, leading to a significant decrease in fraudulent transactions. Manufacturing hubs in countries like Vietnam and Thailand are adopting causal AI to predict and mitigate disruptions. This trend is also assisted by the regional regulatory landscape, which favors responsible artificial intelligence practices, increasing the market demand for causal models that are both transparent and free from bias.

Top Key Companies in Causal AI Market:

The major players in the Causal AI Market include IBM (US), Logility (US), CausaLens (UK), Aitia (US), Causely (US), Geminos (US), along with SMEs and startups such as Data Poem (US), CausaAI (Netherlands), Causa (UK), Lifesight (US), amd Actable AI (UK).

Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting

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AI as a Service Market– Global Forecast to 2029

Get access to the latest updates on Causal AI Companies and Causal AI Industry

About MarketsandMarkets™

MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.

The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.

To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.

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As ADA Anniversary Approaches, University of Phoenix Survey Highlights AI’s Potential to Advance Accessibility in Work and Learning

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Survey conducted by The Harris Poll on behalf of University of Phoenix finds among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.

PHOENIX, July 24, 2026 /PRNewswire/ — As artificial intelligence becomes part of how people work, learn and solve problems, a new University of Phoenix survey conducted by The Harris Poll finds that recent working learners see meaningful opportunities for AI to support accessibility. The survey was designed to understand the impact of AI in the workplace and learning environments on accessibility, defined as ensuring digital content, tools and resources, including AI tools and output, are usable by people with different abilities through inclusive design, use of assistive technology or conformance with accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). The findings are being released ahead of the 36th anniversary of the Americans with Disabilities Act (ADA) on July 26.

The survey, conducted among 1,019 U.S. employed adults who completed a professionally presented training or school course in the past 12 months (“recent working learners”), found that, among workers already using AI in the workplace, 3 in 5 (60%) say AI has improved their knowledge of and ability to use accessibility standards and guidelines, including nearly 1 in 5 (19%) who report significant improvement. 

While the findings point to optimism about AI’s accessibility potential, they also reveal an opportunity for clearer organizational guidance: 45% of respondents say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.

“The reality is that accessibility benefits everyone,” shares Kelly Hermann, Vice President of Accessibility and Student Affairs at University of Phoenix. “If accessibility is built in from the beginning, organizations are more likely to create AI-enabled environments that are universally usable. Clearer content, better summaries, accurate captions, and multiple formats can help workers and learners with disabilities, but they also help busy adults, multilingual learners, mobile users, and anyone trying to absorb information quickly.”

Key findings from the survey include:

Workers see AI’s accessibility potential: 89% of recent working learners identify workflows that could benefit from AI and accessibility tools, especially creating accessible documents, presentations, websites or learning materials (38%), presenting information in different formats such as plain language, audio, summaries or translations (33%), and training employees or learners on accessibility practices (30%).AI may help build accessibility awareness: Among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.Accessibility is not always clear in workplace AI policies: 45% of recent working learners say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.AI tools may not yet fully support different access needs: Among those who use workplace AI tools, only about a quarter of survey respondents (27%) say AI tools available through their workplace or professional learning environment support people with disabilities very well.Human oversight remains important: 36% of recent working learners say human review for important decisions or high-impact work should be part of responsible AI use at work or school.Workers also recognize how AI and accessibility can have an impact on their own career journey: 90% of recent working learners identify AI and accessibility skills that would be valuable in their current or desired career field, including 45% who see value in understanding when AI-generated content needs human review.

Why accessibility is essential to responsible AI adoption

As AI tools are used to draft documents, summarize information, generate captions and transcripts, create image descriptions, support learning and assist with workplace tasks, accessibility becomes central to responsible use. Poorly implemented AI can also create or amplify barriers, including inaccessible content, inaccurate summaries, biased outputs and tools that do not work effectively with assistive technologies.

“Responsible AI is not only about productivity,” Hermann said. “It is about whether the technology works for the people who need to use it. AI can help create more accessible materials and more flexible ways to engage with information, but it still requires clear policies, practical training and human judgment to make sure the outputs are accurate, applicable and usable.”

What the findings mean for employers and educators

The survey suggests that organizations have an opportunity to align AI adoption with supportive design, accessibility practices and workforce training. Employers and educators can take immediate steps by:

Naming accessibility directly in AI policies and guidance.Choosing AI tools with accessibility and assistive technology compatibility in mind.Training workers and learners to create, check and improve accessible AI-generated content.Making support pathways clear for people who experience barriers using AI tools.Keeping human review in place for important decisions, high-impact work and accessibility-sensitive outputs.

The survey also found workers want practical AI training. The most helpful resources identified by recent working learners include real-world examples from their field or industry (36%), hands-on practice using realistic workplace scenarios (34%) and step-by-step demonstrations of common tasks (33%).

Accessibility insights from University of Phoenix

Hermann shared the survey findings ahead of the ADA anniversary in recent media interviews. Hermann oversees the University’s accessibility initiative, including evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her work focuses on fostering accessible and welcoming educational environments for students, faculty and staff.

Hermann’s office at University of Phoenix also convenes accessibility conversations through initiatives such as Access Amplified™, a free, annual virtual event focused on advancing digital accessibility in web development. The event brings together engineers, developers, designers, content authors and digital strategists for practical strategies and human-centered conversations that address the gap between coding practices and how users with assistive technology experience the web.

About the survey

The survey was conducted online within the United States by The Harris Poll on behalf of University of Phoenix from June 22–29, 2026, among 1,019 employed adults ages 18 and older who have taken a professionally presented training or a school course in the past 12 months, referred to as “recent working learners.” Data were weighted where necessary by age, gender, race/ethnicity, region, education, employment, marital status, household size, household income and smoking status to bring them in line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 3.8 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

Review the complete survey at phoenix.edu/aiaccessibility.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

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Mastech Digital to Announce Second Quarter 2026 Financial Results; Participate in Upcoming Investor Conference

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PITTSBURGH, July 24, 2026 /PRNewswire/ — Mastech Digital, Inc. (NYSE American: MHH) (“Mastech Digital”), a leading provider of Digital Transformation IT Services, today announced the date for the release of its financial results for the second quarter ended June 30, 2026, and its participation in an upcoming investor conference.

Second Quarter 2026 Earnings:

Mastech Digital will report its financial results for the second quarter 2026 before the market opens on Thursday, August 6, 2026. Management will host a live conference call and webcast at 9:00 a.m. Eastern Time on that day to discuss the Company’s financial performance and operating results.  The conference call will be hosted by Nirav Patel, President and CEO, and Kannan Sugantharaman, Chief Financial and Operations Officer.

Those wishing to participate via webcast should access the call through Mastech Digital’s Investor Relations website at https://investors.mastechdigital.com. Those wishing to participate via telephone may dial in at 1-800-715-9871 (USA) or 1-646-307-1963 (International) with the passcode 7506988. The replay will be available via webcast through Mastech Digital’s Investor Relations website.

Upcoming Investor Conference:

Mr. Sugantharaman will host a fireside chat at the Sidoti Micro-Cap Investor Conference on Wednesday, August 19, 2026, at 9:15 a.m. Eastern Time.

Mastech Digital management is scheduled to host virtual one-on-one and small group meetings with investors during the conference on August 19-20, 2026. Investors interested in arranging a meeting should contact their Sidoti representative or reach out to the Mastech Digital investor relations team at investors@mastechdigital.com.

About Mastech Digital, Inc.

Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation IT Services. The Company offers Data Management, Analytics & AI Solutions, and IT Staffing Services with a digital-first approach. A minority-owned enterprise, Mastech Digital is headquartered in Pittsburgh, PA, with offices across the U.S., Canada, Europe, and India. Visit us at www.mastechdigital.com.

Investor Relations Contact:
investors@mastechdigital.com 

 

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SOLAI Limited Announces Extraordinary General Meeting

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AKRON, Ohio, July 24, 2026 /PRNewswire/ — SOLAI Limited (NYSE: SLAI) (“SOLAI” or the “Company”) (previously known as “BIT Mining Limited”), a technology-driven personal AI and digital infrastructure provider, today announced that it will hold its extraordinary general meeting of shareholders at 428 South Seiberling Street, Akron, Ohio, US on August 14, 2026 at 10:00 a.m., New York time.

Holders of record of ordinary shares and preference shares of the Company at the close of business on July 20, 2026, New York time (the “Record Date”) are entitled to receive notice of, and to attend and vote at, the extraordinary general meeting or any adjournment thereof. Holders of the Company’s American Depositary Shares (“ADSs”) who wish to exercise their voting rights for the underlying ordinary shares must act through the depositary of the Company’s ADS program, Deutsche Bank Trust Company Americas.

The notice of the extraordinary general meeting, which sets forth the resolutions to be submitted to shareholder approval at the extraordinary general meeting is available on the Investor Relations section of the Company’s website at https://ir.solai.com

About SOLAI Limited

SOLAI Limited (previously known as “BIT Mining Limited”) (NYSE: SLAI) (previously traded under “BTCM”) is a technology-driven personal AI and digital infrastructure provider. Building upon its historical legacy in digital asset mining and blockchain network operations, the Company is leveraging extensive experience in large-scale hardware deployment, data center operations, and high-performance computing to build the foundational infrastructure for personal AI computing and digital asset ecosystems globally.

For more information:

SOLAI Limited
ir@solai.com
ir.solai.com
www.solai.com 

Christensen Advisory
Jason Ng
Tel: +852-2117-0861
Email: solai@christensencomms.com 

 

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