Innodata Stock | Forecast, Price Target & Outlook 2026

Innodata

NasdaqGM:INOD

$ 62,95

+ $5,34 (9,27%)

62,95 $

+$5,34 (9,27%)

Real-time: 01/16/2026 10:17

Innodata Stock Value

Analysts currently give Innodata a rating of Buy.

Buy

Innodata Company Info

EPS Growth 5Y

156,29%

Market Cap

$1,84 B

Long-Term Debt

$0,00 B

Short Interest

5,03%

Annual earnings

02/20/2026

Dividend

$0,00

Dividend Yield

0,00%

Founded

1988

Industry

Information Technology

Country

United States

ISIN Number

US4576422053

Website

http://www.innodata.com

Analyst Price Target

$92,50

60.56%

Last Update: 01/16/2026

Analysts: 4

Highest Price Target $110,00

Average Price Target $92,50

Lowest Price Target $80,00

In the last five quarters, Innodata’s Price Target has risen from $11,97 to $46,75 - a 290,56% increase. Four analysts predict that Innodata’s share price will increase in the coming year, reaching $92,50. This would represent an increase of 60,56%.

Top growth stocks in the information technology sector (5Y.)

What does Innodata do?

Innodata Inc. (Innodata) operates as a data engineering company. AI Data Preparation AI applications are trained with large quantities of data, unlike traditional computer applications that use languages such as Python and Java to tell computers what to do. AI applications learn from the data through a series of regressions. Today's highest performing AI applications (such as OpenAI's ChatGPT) would never have been possible to build through traditional programming. Data science teams at some...

Innodata Inc. (Innodata) operates as a data engineering company.

AI Data Preparation

AI applications are trained with large quantities of data, unlike traditional computer applications that use languages such as Python and Java to tell computers what to do. AI applications learn from the data through a series of regressions. Today's highest performing AI applications (such as OpenAI's ChatGPT) would never have been possible to build through traditional programming.

Data science teams at some of the largest technology companies are accelerating development of generative AI technologies that produce high quality text, code, and images in response to user prompts. At their core, they rely upon large language models (LLMs), which are deep neural networks (an artificial intelligence architecture) with billions of parameters and requiring massive amounts of training data to encode the essence of human language. They require fine-tuning through supervised learning and reinforcement learning from human feedback (RLHF) to render them suitable for specialized tasks and domains, to control hallucinations (the tendency of these models to make up things on the fly), and to minimize the risk that they generate unsafe or biased results.

In addition, companies across industry verticals are seeking to develop AI-based applications for an ever-increasing variety of use cases such as self-driving cars, surveillance systems, automated medical diagnostics, digital assistants, chatbots, content moderation, robotics, fraud detection and contract review.

Developing high-quality training data is critical for the AI to perform correctly, but often requires technology and skilled human resources that data science teams lack. Moreover, developing high-quality data takes up 80% of the time for most AI and ML projects.

Data sciences teams seek partners that can perform these data preparation functions for them at large-scale and at high quality, while using automated tools to minimize cost. As AI projects become more specialized and mission-critical and data preparation becomes increasingly complex, data science teams seek partners with deep domain knowledge and an infrastructure in which data security is assured.

Innodata is ideally situated to partner with data science teams.

In 2023, the company expanded existing relationships and forged new relationships with several of the world's large technology companies to support their efforts at building generative AI foundation models. For these companies, the company is providing or are poised to provide a range of scaled data solutions and services. The company's scaled data solutions include providing instruction data sets for fine-tuning LLMs to understand prompts, to accept instruction, to converse, to apparently reason, and to perform the myriad of incredible feats that many of the company has experienced. The company also provides reinforcement learning and reward modeling, services which are critical to provide the guardrails against toxic, bias and harmful responses, and model evaluation services.

For social media companies, robotics companies, financial services companies, and many others, the company collects or creates training data, annotates training data, and trains AI algorithms for working with images, text, video, audio, code and sensor data.

The company utilizes a variety of leading third-party tools, proprietary tools and customer tools. For text annotation, the company uses its proprietary data annotation platform that incorporates AI to reduce cost while improving consistency and quality of output. The company's proprietary data annotation platform features auto-tagging capabilities that apply to both classical and generative AI tasks. The company's platform encapsulates many of the innovations the company has conceived of in the course of its 30-year history of creating high-quality data.

In addition, because collecting real-world data is often impracticable (due to data privacy regulations or rarity of cohorts and outliers), the company creates high-quality synthetic data that maintains all of the statistical properties of real-world data, using a combination of domain specialists and machine technologies that leverage LLMs.

The company is presently working with five of the largest technology companies, and several of the world's leading brands spanning multiple verticals, to enable, accelerate or enrich the services they deliver to end users around generative AI foundation models and other AI that supports chatbot assistance, facial recognition, social networking, gaming, drones, medical diagnostics and robotics, to name a few.

AI Model Deployment and Integration

The company helps businesses leverage the latest AI technologies to achieve their goals. The company develops custom AI models (where the company selects the appropriate algorithms, tune hyperparameters, train and validate the models, and update the models as required). The company also helps businesses fine-tune their own custom versions of its proprietary models and third-party foundation models (including LLMs) to address domain-specific and customer-specific use cases.

The company has built its solutions and platforms in such a way as to enable the company to incorporate new open source or proprietary software innovations.

Many of the company's customers provide products and solutions that require intensive text data processing and analytics. For these customers, in addition to deploying and integrating AI models, the company often provides a range of data engineering support services, including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management. For many of the company's longest-tenured customers, the company continuously innovates and deploys models into their workflows and digital operations. The company provides these services discretely and in conjunction with business process management (BPM) engagements.

The company's customers span a diverse range of industries and a wide range of AI use cases, benefiting from the short time-to-value and high economic returns the company's AI solutions and platforms offer.

AI-Enabled Industry Platforms

The company's AI-enabled industry platforms address specific, niche market requirements that the company can innovate with AI/ML technologies. The company deploys these industry platforms as software-as-a-service (SaaS) and as managed services. These platforms benefit from the company's technology infrastructure, its industry-specific knowledge, the company's strong customer relationships and experience merging technology with the business processes of the company's customers. As of December 31, 2023, the company built an industry platform for medical records data extraction and transformation (which the company brand as 'Synodex') and an industry platform for public relations (which the company brands as 'Agility PR Solutions'). The company is in development with an additional AI-enabled industry platform to serve financial services institutions.

The company's Synodex industry platform transforms medical records into useable digital data organized in accordance with the company's proprietary data models or customer data models. At the end of 2023, the company had 13 customers utilizing its Synodex platform. As the company further integrates AI into the platform, the company intends to address the needs of the healthcare sector, which is increasingly seeking to search, analyze, and interpret vast volumes of patient data, improve clinical documentation and make computer-assisted coding more efficient.

The company's Agility industry platform provides marketing communications and public relations professionals with the ability to target and distribute content to journalists and social media influencers world-wide and to monitor and analyze global news (print, web, radio and TV) and social media.

The company's operations are presently classified and reported in three reporting segments: Digital Data Solutions (DDS), Synodex and Agility.

Global Delivery Framework

The company has over 4,000 employees and associates across 31 countries. The company also has access to a large population of remote staff and freelancers that the company maintains in its databases. The company's delivery locations are strategically located to give the company accesses to a diverse talent base spanning multiple time zones and more than 40 languages.

The company has also invested in building a proprietary resource management platform geared specifically to managing remote staff and freelancers.

Infrastructure

The company's infrastructure supports a range of strategies to suit its customers' requirements for data security, compliance, scalability and reliability. The company's user endpoints are secured with cloud-managed security solutions consisting of firewall, IDS/IPS, vulnerability scanning and patch management engines. The company hosts data and applications in its own data centers at the company's operations centers, in its customers' data centers, and on third-party cloud services, including Amazon Web Services ('AWS'), Microsoft Azure ('Azure'), Oracle Cloud Infrastructure ('OCI'), and Google Cloud Platform ('GCP') that provide the benefit of 'infinite scalability' of information technology resources. The company's data operations are linked by multiple redundant network connections. The company's Wide Area Network - along with its Local Area Networks, Storage Area Networks, Network Attached Storage and data centers - are configured with industry standard redundancy, often with more than one backup to establish 24x7 availability.

Growth Strategy

The company's strategy for growth is to leverage its 30+ year experience creating high quality data. The company's solutions and platforms leverage the technology, human resources, and culture of fanaticism for data quality that the company has developed, as well as the AI/ML research and development the company has invested in over the past eight years.

The key elements of the company's growth strategy include driving new customer acquisition; expanding relationships with existing customers; continuing to develop new capabilities; and continuing to innovate.

Customers

The company's customers include leading businesses across multiple verticals, including banking, insurance, financial services, technology, digital retailing and information/media. One customer in the DDS segment generated approximately 10% of the company's total revenues in the fiscal year ended December 31, 2023. Further, in the year ended December 31, 2023, revenues from non-U.S. customers accounted for 37% of the company's revenues. The company has long-standing relationships with many of its customers.

Sales and Marketing

The company markets and sells its solutions and platforms directly through the company's professional staff, senior management and direct sales personnel operating primarily from various locations in the U.S., Canada, the United Kingdom and Europe. In addition, the company is increasingly developing and expanding the company's use of strategic partnerships and channel relationships for the establishment and development of new and existing customers.

In addition to the company's executive-level business development professionals and sales and marketing personnel, the company deploys solutions architects, technical support experts and consultants who support the development of new customers and new customer engagements. These resources work within teams (both permanent and ad hoc) that provide support to customers.

The company's marketing department and sales professionals work together to generate leads. The company's sales professionals identify and qualify prospects, securing direct personal access to decision makers at existing and prospective customers. They facilitate interactions between customer personnel and the company's service teams to define ways in which the company can assist customers with their goals. For each prospective customer engagement, the company assembles a team of its senior employees drawn from various disciplines within the company.

The company's marketing organization is responsible for developing and increasing the visibility and awareness of the company's brand and the company's service offerings, defining and communicating the company's value proposition, generating qualified, early-stage leads and furnishing effective sales support tools.

As part of the company's marketing strategy, the company partners with media organizations to build awareness, establish a reputation as an industry thought leader and generate leads. Media partners include trade associations and publications, trade show producers and consulting organizations. These partnerships are particularly valuable in enterprise industries as the company builds its presence among digital content leaders and decision makers.

Primary marketing outreach activities include content marketing, event marketing (including exhibiting at trade shows, virtual summits, conferences and seminars), direct and database marketing, public and media relations (including speaking engagements), and web marketing (including integrated marketing campaigns, search engine optimization, search engine marketing and the maintenance and continued development of external websites).

Sales activities include lead generation, nurturing leads, engaging in discussions with prospective customers to understand their needs, demonstrating the company's products, designing solutions, responding to requests for proposals, and managing account and customer relationships and activities.

Personnel from the company's solutions analysis group, the company's customer services group and the company's engineering services group closely support the company's direct sales effort. These individuals assist the sales force in understanding the technical needs of customers and providing responses to these needs, including demonstrations, prototypes, pricing quotations and time estimates. In addition, account managers from the company's customer service group support its direct sales effort by providing ongoing project-level support to the company's customers.

Competition

Major competitors for the company's Synodex industry platform are Risk Righter, eNoah, and Parameds. The company's Agility industry platform competes with Meltwater, Cision, Kantar, and Intrado.

Government Regulation

The company is subject to a number of the U.S. federal and state and foreign laws and regulations that relate to the company's business, including those governing privacy and data protection. The company complies with the requirements of the United States Health Insurance Portability and Accountability Act of 1996 as amended (including by the Health Information Technology for Economic and Clinical Health Data (HITECH)) (HIPAA), the United Kingdom's General Data Protection Regulation as tailored by the Data Protection Act 2018, the EU General Data Protection Regulation, and local laws regulating data privacy, as applicable.

History

Innodata Inc. was founded in 1988. The company was incorporated in 1988.

Innodata Questions and Answers

Which sectors generate sales and which are the top 3 markets?

Revenue distribution by industry: Technology and data processing: 45% Publishing and media: 30% Financial services: 25% TOP 3 markets: USA: 50% Europe: 30% Asia-Pacific: 20% Innodata Inc. generates the majority of its revenue from the technology and data processing industry, driven by the increa...

At which locations are the company’s products manufactured?

Production Sites: India, Sri Lanka, Philippines Innodata Inc. operates several production sites, mainly in India, Sri Lanka, and the Philippines. These sites are strategically chosen to benefit from the cost-effective labor and the availability of well-trained professionals in these regions. The com...

What strategy does Innodata pursue for future growth?

Revenue Growth: 18% (estimated 2025) Profit Growth: 14% (estimated 2025) Innodata Inc. is focusing on expanding its services in the field of artificial intelligence and data processing. The company is heavily investing in the development of AI-driven platforms to enhance the efficiency and accurac...

Which raw materials are imported and from which countries?

I'm sorry, but I do not have specific information about the commodities or materials that Innodata Inc. imports, nor from which countries they originate. Innodata Inc. is a company specializing in digital data processing and information management, and it is possible that there are no significant co...

How strong is the company’s competitive advantage?

Market Share: Estimated 5-7% in the field of data processing and AI services (2026) Industry Growth Rate: 10% annually (2026) Innovation Index: High, based on patent applications and R&D investments (2025) Innodata Inc. has established itself as a significant player in the field of data processi...

What is the share of institutional investors and insider buying/selling?

Institutional Investor Share: Estimated 45% (2026) Insider Purchases: No significant purchases in the last year Insider Sales: Moderate, about 2% of total shares in the last year The institutional investor share at Innodata Inc. is approximately 45%, indicating a moderate level of trust from institu...

What percentage market share does Innodata have?

Market share of Innodata Inc.: Estimated 2-3% (2026) Major competitors and their market shares: IBM - 15% Accenture - 12% Cognizant - 10% Infosys - 8% Tata Consultancy Services (TCS) - 7% Wipro - 5% Capgemini - 4% Innodata Inc. - 2-3% HCL Technologies - 2% Tech Mahindra - 1.5% Innodata Inc. is a s...

Is Innodata stock currently a good investment?

Revenue Growth: 18% (2025) Profit Growth: 14% (2025) Innodata Inc. recorded a revenue growth of 18% in 2025, attributed to successful expansion into new markets and increased demand for digital services. The company has expanded its services in data processing and AI-driven solutions, leading to a b...

Does Innodata pay a dividend – and how reliable is the payout?

Dividend payment: No dividend (as of 2026) Innodata Inc. currently does not pay any dividends to its shareholders. The company has focused in the past on reinvesting its profits into the growth and expansion of its business segments rather than distributing dividends. The reliability of dividend pay...

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Innodata Stock Value

Innodata Company Info

Analyst Price Target

Top growth stocks in the information technology sector (5Y.)

What does Innodata do?

Innodata Questions and Answers

Offer & Services

Service & Collaboration

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