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Artificial Intelligence (AI) Voice Cloning Market Size

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Artificial Intelligence (AI) Voice Cloning Market

The Artificial Intelligence (AI) Voice Cloning Market is estimated to be valued at approximately USD 280 million in 2024 and is projected to reach around USD 1.85 billion by 2033, growing at a compound annual growth rate (CAGR) of about 21.5% from 2025 to 2033.

Artificial Intelligence (AI) Voice Cloning Market Overview

The Artificial Intelligence (AI) Voice Cloning Market is rapidly expanding as advancements in deep learning and neural networks enable more realistic and customizable synthetic voices. Voice cloning technology is increasingly being adopted across industries such as entertainment, gaming, customer service, and healthcare for applications like personalized voice assistants, dubbing, and accessibility solutions. The growing demand for natural-sounding AI voices and multilingual support is driving innovation and market growth. However, concerns around privacy, ethical use, and potential misuse of cloned voices pose challenges that the industry is actively addressing through regulation and technological safeguards. Furthermore, improvements in cloud computing and AI algorithms are making voice cloning more accessible and cost-effective for businesses. Overall, the market is poised for significant growth, fueled by increasing adoption and continuous technological advancements.

Request a sample copy of this report at: https://www.omrglobal.com/request-sample/artificial-intelligence-voice-cloning-market

Advantages of requesting a Sample Copy of the Report:

1) To understand how our report can bring a difference to your business strategy

2) To understand the analysis and growth rate in your region

3) Graphical introduction of global as well as the regional analysis

4) Know the top key players in the market with their revenue analysis

5) SWOT analysis, PEST analysis, and Porter’s five force analysis

The report further explores the key business players along with their in-depth profiling

ElevenLabs, Murf.AI, Respeecher, Descript, Play.ht, WellSaid Labs, iSpeech, CandyVoice, Replica Studios, and VocaliD.

Artificial Intelligence (AI) Voice Cloning Market Segments:

By Technology:

• Text-to-Speech (TTS)

• Neural Voice Cloning

• Speaker Adaptation

By Application:

• Media & Entertainment

• Healthcare

• Education & E-learning

• Customer Support & Virtual Assistants

• Automotive

• Telecommunications

By End User:

• Enterprises

• Individual Consumers

• Content Creators

By Deployment Mode:

• Cloud-based

• On-premise

Report Drivers & Trends Analysis:

The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging Artificial Intelligence (AI) Voice Cloning Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.

Competitive Landscape Analysis:

In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the Artificial Intelligence (AI) Voice Cloning Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.

Regional Outlook:

The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.

» North America (U.S., Canada, Mexico)

» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

» South America (Brazil, Argentina, Rest of SA)

» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

If you have any special requirements, Request customization: https://www.omrglobal.com/report-customization/artificial-intelligence-voice-cloning-market

Key Benefits for Stakeholders:

⏩ The study represents a quantitative analysis of the present Artificial Intelligence (AI) Voice Cloning Market trends, estimations, and dynamics of the market size from 2025 to 2032 to determine the most promising opportunities.

⏩ Porter’s five forces study emphasizes the importance of buyers and suppliers in assisting stakeholders to make profitable business decisions and expand their supplier-buyer network.

⏩ In-depth analysis, as well as the market size and segmentation, help you identify current Artificial Intelligence (AI) Voice Cloning Market opportunities.

⏩ The largest countries in each region are mapped according to their revenue contribution to the market.

⏩ The Artificial Intelligence (AI) Voice Cloning Market research report gives a thorough analysis of the current status of the Artificial Intelligence (AI) Voice Cloning Market’s major players.

Key questions answered in the report:

➧ What will the market development pace of the Artificial Intelligence (AI) Voice Cloning Market?

➧ What are the key factors driving the Artificial Intelligence (AI) Voice Cloning Market?

➧ Who are the key manufacturers in the market space?

➧ What are the market openings, market hazards,s and market outline of the Artificial Intelligence (AI) Voice Cloning Market?

➧ What are the sales, revenue, and price analysis of the top manufacturers of the Artificial Intelligence (AI) Voice Cloning Market?

➧ Who are the distributors, traders, and dealers of Artificial Intelligence (AI) Voice Cloning Market?

➧ What are the market opportunities and threats faced by the vendors in the Artificial Intelligence (AI) Voice Cloning Market?

➧ What are deals, income, and value examination by types and utilizations of the Artificial Intelligence (AI) Voice Cloning Market?

➧ What are deals, income, and value examination by areas of enterprises in the Artificial Intelligence (AI) Voice Cloning Market?

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Reasons To Buy The Artificial Intelligence (AI) Voice Cloning Market Report:

➼ In-depth analysis of the market on the global and regional levels.

➼ Major changes in market dynamics and competitive landscape.

➼ Segmentation on the basis of type, application, geography, and others.

➼ Historical and future market research in terms of size, share growth, volume, and sales.

➼ Major changes and assessment in market dynamics and developments.

➼ Emerging key segments and regions

➼ Key business strategies by major market players and their key methods

Contact Us:

Mr. Anurag Tiwari

Email: anurag@omrglobal.com

Contact no: +91 780-304-0404

Website: www.omrglobal.com

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About Orion Market Research

Orion Market Research (OMR) is a market research and consulting company known for its crisp and concise reports. The company is equipped with an experienced team of analysts and consultants. OMR offers quality syndicated research reports, customized research reports, consulting and other research-based services. The company also offers Digital Marketing services through its subsidiary OMR Digital and Software development and Consulting Services through another subsidiary Encanto Technologies.

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Artificial Intelligence News for the Week of September 5; Updates from DeepL, Denodo, Snowflake & More

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Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of September 5, 2025.

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Artificial Intelligence News for the Week of September 5, 2025


Apiiro Study: AI Coding Assistants Boost Velocity but Multiply Vulnerabilities

A new research blog from Apiiro shows that while AI coding assistants increase engineering velocity by up to 4x, they also introduce tenfold more vulnerabilities in code. Organizations are urged to invest in code review automation, secure coding training, and risk mitigation strategies to close the expanding security gap.

Read more → https://apiiro.com/blog/4x-velocity-10x-vulnerabilities-ai-coding-assistants-are-shipping-more-risks/

Cisco and NVIDIA Expand Secure AI Factory to Accelerate Agentic AI for Enterprises

Cisco, in collaboration with NVIDIA and VAST Data, has announced an expanded Secure AI Factory designed to make enterprise data more accessible, secure, and actionable for agentic AI. The solution leverages the VAST Data InsightEngine, NVIDIA AI Data Platform reference design, and Cisco AI PODs with NVIDIA RTX PRO 6000 Blackwell Server GPUs to drastically reduce latency in retrieval-augmented generation (RAG) pipelines—from minutes to seconds.

Read more → https://www.channele2e.com/news/cisco-secure-ai-factory-with-nvidia-unlocks-enterprise-data-for-agentic-ai

Concentric AI Integrates with OpenAI ChatGPT for Smart Data Security

Concentric AI is now integrating with OpenAI’s ChatGPT to deliver intelligent context-aware data protection capabilities. This partnership enables enterprises to leverage advanced NLP-driven suggestions for sensitive data classification, automated policy enforcement, and proactive risk management in cloud and SaaS environments.

Read more → https://concentric.ai/press-release/concentric-ai-announces-integration-with-openais-chatgpt/

DeepL Unveils Autonomous AI Agent for Business

DeepL has announced its new autonomous AI agent for business applications, offering advanced natural language understanding, translation, and information retrieval. The agent is designed to support customer service, content generation, and multilingual communications for global enterprises.

Read more → https://www.prnewswire.com/news-releases/deepl-unveils-autonomous-ai-agent-for-businesses-302543914.html

DE-CIX Launches World’s First Fully Integrated AI Internet Exchange

DE-CIX has introduced the world’s first AI-integrated Internet Exchange (AI-IX), enabling efficient cross-network connectivity for model training and AI inference. The platform unifies edge, cloud, and analytics traffic to boost throughput, reduce latency, and accelerate enterprise AI adoption.

Read more → https://www.de-cix.net/en/about-de-cix/media/press-releases/de-cix-launches-worlds-first-fully-integrated-ai-internet-exchange-ai-ix-to-support-model-training-and-inference

FICO & Corinium Study: Responsible AI Standards Surpass GenAI Hype for Finance

FICO and Corinium’s latest study finds that global financial institutions are moving beyond GenAI hype, prioritizing responsible AI standards to ensure trust, compliance, and value. Leaders now favor transparency, ethical model development, and rigorous governance to sustain adoption and minimize risk.

Read more → https://www.fico.com/en/newsroom/new-fico-and-corinium-study-reveals-global-financial-institutions-abandon-genai-hype-responsible-ai-standards

Geniez AI Raises $6M Seed Round for AI-Driven Process Automation

Geniez AI, a startup developing automation solutions powered by generative AI, has raised $6 million in seed funding. The capital will be used to advance Geniez’s AI agent platform for automating complex business processes and workflows, focusing on enterprise adoption and rapid go-to-market acceleration.

Read more → https://www.finsmes.com/2025/09/geniez-ai-raises-6m-in-seed-funding.html

Google Cloud Report: 52% of Executives Have Deployed AI Agents for Business Value

A Google Cloud study finds that 52 percent of global executives have already deployed AI agents in their organizations—unlocking significant new business value in customer engagement, productivity, and automation. The survey highlights a growing wave of adoption as leaders recognize agentic AI’s potential to drive competitive transformation.

Read more → https://www.bigdatawire.com/this-just-in/google-cloud-52-of-executives-say-their-organizations-have-deployed-ai-agents-unlocking-a-new-wave-of-business-value/

Gravity Launches Orion Multi-Agent AI for Enterprise Decision Intelligence

Gravity unveiled Orion, a multi-agent AI platform to transform enterprise decision intelligence. Orion uses coordinated AI agents to autonomously collect, enrich, and analyze data across business units, empowering executives with actionable insights for complex decision-making. The platform marks a new milestone in scalable, agent-driven enterprise analytics.

Read more → https://www.prnewswire.com/news-releases/gravity-launches-orion-to-redefine-enterprise-decision-intelligence-with-multi-agent-ai-302543112.html?tc=eml_cleartime

Laserfiche AI Workplace Survey Finds Automation Boosts Retention, Productivity

Laserfiche’s “AI Workplace Survey 2025” highlights that organizations implementing AI-driven automation report significant gains in employee retention and productivity. However, survey respondents emphasize the need for upskilling, change management, and clearer strategies to avoid AI change fatigue. Leaders are encouraged to balance automation with proactive workforce development practices.

Read more → https://www.laserfiche.com/resources/press-center/press/ai-workplace-survey-2025/

Pearson and Cognizant Announce Strategic Partnership for AI-Era Learning

Pearson and Cognizant have formed a global partnership to create new learning and workforce development programs supporting early career growth in the age of AI. The collaboration combines educational technology, professional services, and enterprise AI expertise to deliver career-ready content and improve access to high-demand digital skills.

Read more → https://news.cognizant.com/2025-09-02-Pearson-and-Cognizant-Announce-Global-Strategic-Partnership-to-Enhance-Learning

Qlik Achieves AWS Generative AI Competency

Qlik has attained AWS Generative AI Competency, affirming its excellence in deploying generative AI solutions within the AWS ecosystem. This milestone validates Qlik’s ability to empower customers with scalable generative analytics, AI-driven automation, and secure cloud data integrations.

Read more → https://www.qlik.com/us/news/company/press-room/press-releases/qlik-achieves-aws-generative-ai-competency

Redis Acquires Decodable to Expand Real-Time Context and Memory for AI Agents

Redis has announced the acquisition of real-time data platform Decodable. The move expands Redis’ capabilities for AI, bringing streaming context and memory solutions for agentic AI systems—including advanced retrieval, embedding, and real-time data enrichment. The integration positions Redis as a foundational component for next-generation, memory-enabled enterprise AI.

Read more → https://www.globenewswire.com/news-release/2025/09/04/3144606/0/en/Redis-to-Acquire-Real-Time-Data-Platform-Decodable-Expands-Redis-for-AI-to-Deliver-Context-and-Memory-for-AI-Agents-and-Agentic-Systems.html

WisdomAI Unleashes Autonomous AI Data Analyst

WisdomAI has launched its AI-powered data analyst, enabling businesses to automate complex analytics tasks, including report generation, trend analysis, and on-demand insights. The agent simplifies data exploration for non-technical users and speeds up the business intelligence lifecycle.

Read more → https://www.enterprisetimes.co.uk/2025/09/04/wisdomai-unleashes-its-ai-data-analyst/

Expert Insights

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

What to Expect at Solutions Review‘s Spotlight with SoftwareOne on September 10: How to Use Copilot Agents

Generative AI has evolved from a tool we harness for productivity to a true collaborator. With Copilot Agents, AI works alongside us to boost creativity, streamline workflows, and provide real-time coaching—becoming a valuable teammate and ushering in the next era of AI-driven productivity.

Register on LinkedIn

What to Expect at Solutions Review‘s Industry Trends Session with Denodo on September 16: AI Deep Research

We’ll explore the kinds of questions Deep Research can tackle: Why is customer churn rising in a specific region? How will new regulations impact our supply chain? What is the optimal strategy for entering a new market? These are the complex, open-ended questions that go far beyond dashboards and canned reports, questions that require reasoning, synthesis, and real-time, trusted data.

Register on LinkedIn

New Episode of The Cyber Circuit with Michael Morgenstern: The AI Revolution Needs Better Asset Management

From shadow AI implementations draining sensitive data to why “we went too fast with cloud and we’re doing it again,” discover why the organizations that can’t answer “what assets do we have?” are the ones AI will hurt most. Parker reveals why AI represents the fourth industrial revolution and what security leaders must do now before regulatory hammers drop.

Watch on YouTube

SR Thought Leaders: Agentic AI Governance: 4 Criteria to Evaluate Tools by Kevin Petrie

As companies mature, they are taking a more sober view of the opportunity that agentic AI  represents. In fact, only 27 percent of executives say they would trust fully autonomous agents for enterprise use, down from 43 percent one year ago, according to a recent Capgemini survey. They recognize the need to manage risks before reaping the innovation benefits of agentic AI. This requires a robust governance program, supported by effective technology.

Read on Solutions Review

Editorial: Soft Skills Crisis? Why Gen Z Struggles – and How Leaders Can Help by Dr. Laurie Cure

Soft skills have always played a quiet but powerful role in workplace success. After all, these are the often invisible qualities that allow people to collaborate, resolve issues, and lead with confidence — often the most essential elements for leadership success.

Read on Solutions Review

Editorial: The Evolution of Enterprise Data Archives in the AI Era by Archive360’s George Tziahanas

For decades, enterprise data archives have occupied an understated position within organizational IT infrastructure. These vast repositories of information were treated as necessary for meeting legal and regulatory obligations, but only modestly accessed once data was safely stored away. The prevailing approach was simple: keep costs low, ensure compliance, and preserve the data until a court order or regulatory investigation demanded its retrieval.

Read on Solutions Review

Editorial: Why Data Quality is the Make-or-Break Factor for AI Success by Semarchy’s Craig Gravina

According to a recent survey of 1,050 senior business leaders across the US, UK, and France, only 46 percent express confidence in the quality of their data. This lack of trust in data quality represents the Achilles’ heel of many promising AI strategies, underscoring a critical truth: without trustworthy data, even the most sophisticated AI initiatives risk falling short of their potential.

Read on Solutions Review

For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.



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Navigating complex legal tasks with agentic guided workflows

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Agentic AI enables legal professionals to tackle multi-step legal workflows with confidence

Highlights

  • Agentic AI evolves beyond standard generative AI by not just creating content, but by autonomously planning, executing, and adapting to complex, multi-step legal workflows like litigation strategy and document analysis.
  • By handling routine processes in the background, agentic workflows boost efficiency and free legal professionals to focus on high-value strategic work, though human oversight remains essential for ensuring ethical and accurate outcomes.
  • A strong agentic AI solution must be built on trusted, industry-specific content, feature robust security, offer seamless integration with platforms like Westlaw and Microsoft 365, and provide a unified experience for the entire legal workflow.

Like most legal professionals, you probably spend more time than you’d like on routine tasks that take you away from work, like client counseling, strategy development, and analysis. For many firms, generative AI (GenAI) has stepped in to relieve lawyers of some of these repetitive tasks. Agentic AI takes that a step further.

Trained on legal content and workflows, agentic AI does more than just automate. It learns, reasons, and evolves to support your practice. As it adapts to your firm’s operations, it can anticipate your needs, flag relevant precedents, suggest filings, or even drafting strategy briefs ahead of schedule.

Webinar on Sept 16

Agentic AI for legal professionals: What it means & when to expect it

Register now ↗

Jump to ↓

GenAI vs. agentic AI


Plan and execute


Agentic workflows are not bots


How to identify a strong agentic AI solution


Measuring the return

GenAI vs. agentic AI

Both GenAI and agentic AI use large language models and natural language processing. They both increase efficiency by reducing the time you spend on legal tasks. But GenAI is designed to generate pieces of output and create content based on prompts. It can be used as a digital assistant in legal work for:

  • Drafting contracts, memos, and emails
  • Summarizing case law or deposition transcripts
  • Translating legalese into plain language

Built on that foundation, agentic AI can operate in dynamic environments. That means it can plan and execute multi-step legal workflows. It monitors the progress of a task, then adapts to changing needs. You might ask it to prepare a litigation strategy or:

  • Research relevant precedents
  • Draft motions
  • Flag missing documents
  • Identify cross-jurisdictional implications
  • Sequence tasks for your team

Agentic AI doesn’t just respond; it acts, learns, and adjusts to your case. If this feels slightly ominous, take a closer look. Agentic AI developed by technical experts and based on dedicated legal content can have a profound impact on your practice.

Plan and execute

Agentic AI complements your expertise. When you set goals, agentic AI can map out workflows, break down tasks, and monitor progress. While it can’t lead client meetings, it can fulfill backend requests, prep materials, and keep everything moving smoothly.

A professional-grade agentic AI solution will:

  • Boost efficiency. Agentic AI can speed up litigation and transactional processes in legal research, document analysis, and drafting. These agentic workflows, designed by legal experts and supported by trusted legal content, propose logical next steps and execute them at your command.
  • Work faster and smarter. Agentic AI quietly progresses from task to task in the background, freeing you to focus on higher-value activities. You can spend time on the work only you can do, like developing client relationships, nuanced strategy, and courtroom preparation.
  • Build confidence. By gaining insight into unfamiliar areas of law, agentic workflows can guide you through nuanced practice areas with contextual recommendations and structured execution.

Of course, human oversight remains essential. Reviewing AI-generated documents and guiding the solution ensures it works the way your firm does: ethically, accurately, and efficiently.

Agentic workflows are not bots

If you’ve ever been frustrated with the limitations of online chatbots, you should know agentic AI is different. Bots operate within narrow parameters and are built to handle simple, one-off tasks like retrieving information from a company database.

Agentic workflows, on the other hand, are intelligent tools that work toward defined goals. They rely on advanced logic to tackle complex problems, adapt as your workflows evolve, and interact with other tools to move work forward without needing step-by-step instructions.

How to identify a strong agentic AI solution

Not all agentic AI is created equal. To find a solution that’s effective and professional-grade, look for these core features:

  • Trusted content: The solution pulls from verified, industry-specific sources you recognize and respect.
  • Benchmarked functionality: It provides demonstrated performance that handles large volumes and identifies complex themes.
  • Strong security: The technology has clear data encryption and complies with standards like HIPAA, GDPR, and SOC 2.
  • Seamless integration: It connects easily with industry-leading platforms like Westlaw, Practical Law, and Microsoft 365 without extra effort.
  • Unified experience: The solution supports your full workflow from start to finish, not just an isolated task.

What to avoid

Use caution when reviewing vendors whose solutions include:

  • Unverified data sources or research functions that haven’t been tested
  • Vague or missing security details
  • Costly custom integrations with limited scalability
  • Tools that only solve part of your workflow, leading to inefficiency

Where to begin

Adopters of agentic AI are already seeing stronger performance and a competitive edge. If you’re new to it, start with low-stakes tasks like scheduling or formatting documents. It’s helpful to identify your firm’s technology “power users” who can champion adoption and partner with providers that offer training and integration support.

Measuring the return

To measure ROI, start by gauging how long certain tasks usually take — like formatting documents, conducting research, or preparing drafts — without any support. Now, consider how much faster those tasks and the complete workflow could be with an agentic AI solution.

By looking at the time saved and what that extra time allows you to accomplish, you’ll start to see the real value: smoother workflows, less manual effort, and more space to focus on meaningful work. You’ll be able to redeploy your time more strategically, improve client satisfaction and retention, and win more work.

Now is the time to reflect on where your current workflows slow you down, and how they could be smarter, faster, and more adaptive. Thomson Reuters CoCounsel Legal is a professional-grade legal solution that combines agentic capabilities with trusted content and strong security — giving legal professionals the speed, confidence, and control to tackle complex tasks with ease.

CoCounsel LegalCoCounsel Legal

CoCounsel Legal

Work smarter with CoCounsel, seamlessly integrated with Westlaw, Practical Law, Microsoft 365, and DMS partners

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Artificial intelligence is not a god: human empathy remains irreplaceable – 조선일보

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Artificial intelligence is not a god: human empathy remains irreplaceable  조선일보



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