Cognitive Analytics Market size was valued at USD 3.2 billion in 2022 and is estimated to register a CAGR of 34% between 2023 and 2032. The increasing funding in cognitive analytics startups is driving significant growth in the market. These investments provide startups with resources to develop innovative technologies and solutions, fostering advancements in artificial intelligence & data analytics.
For instance, in May 2023, Course5 Intelligence, a startup burgeoning in data analytics & AI, secured funding of USD 28 million from 360 ONE Asset Management. This investment will be used to improve the startup's context-conscious dialogue management along with cognitive semantic search abilities. The move also aims to allow users to interact with the structured and tabular data, enabling them to extract insights using natural language for swift decision-making.
|Cognitive Analytics Market Size in 2022:||USD 3.2 Billion|
|Forecast Period:||2023 to 2032|
|Forecast Period 2023 to 2032 CAGR:||34%|
|2032 Value Projection:||USD 58.5 Billion|
|Historical Data for:||2018 to 2022|
|No. of Pages:||220|
|Tables, Charts & Figures:||394|
|Segments covered:||Component, Deployment, Enterprise Size, Application, End User|
|Pitfalls & Challenges:|
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The proliferation of Big Data, characterized by massive volumes of structured and unstructured information, serves as a foundational driver for the cognitive analytics market. Businesses are increasingly harnessing data to gain valuable insights, understand market trends, and make informed decisions. Cognitive analytics solutions excel in processing and analyzing this vast data pool, extracting meaningful patterns & correlations. As the volume of data continues to grow exponentially, the demand for advanced cognitive analytics tools rises, fueling market expansion and innovation in data-driven decision-making processes.
Data security and privacy concerns stand as significant challenges hindering the cognitive analytics industry growth. As businesses increasingly rely on sensitive data for analysis, ensuring the confidentiality and protection of this information becomes paramount. The risk of privacy breaches, data theft, and unauthorized access poses a barrier to widespread adoption. Companies need robust security measures and compliance with regulations to alleviate these concerns and build trust among users, stakeholders & regulatory bodies.
The COVID-19 pandemic has positively impacted the cognitive analytics market as businesses navigate unprecedented challenges. The need for real-time data analysis to understand rapidly changing consumer behavior and market trends surged. Cognitive analytics tools have played a vital role in helping companies adapt their strategies swiftly, optimize supply chains, and enhance customer experiences. As a result, the demand for cognitive analytics solutions has grown, fostering innovation, and accelerating the adoption of advanced data-driven decision-making processes.
Platforms offering data-driven risk assessment insights for insurance companies are driving lucrative growth in the market. These solutions empower insurers with advanced analytics, enabling precise risk evaluation, fraud detection & personalized policy offerings. For instance, in July 2023, Verikai, Inc., a provider of advanced predictive analytics & AI-driven solutions for the insurance sector, launched an innovative platform that integrates robust data-driven risk assessment insights into an intuitive digital portal, transforming the entire underwriting process for insurance companies and enhancing their overall experience.
Advancements in Artificial Intelligence (AI) and Machine Learning (ML) technologies are pivotal in propelling the cognitive analytics market. These continuous innovations empower cognitive analytics tools to handle increasingly complex and diverse datasets. Machine learning algorithms, backed by AI, enable accurate predictive modeling, automated data analysis & real-time pattern recognition. As businesses seek more sophisticated insights and automation, the evolution of AI & ML techniques plays a crucial role, making cognitive analytics solutions indispensable for modern enterprises aiming to gain actionable intelligence from their data.
Based on component, the tools segment dominated around USD 2 billion revenue in 2022. Autonomy and control over analytics processes are driving the preference for cognitive analytics tools. Businesses seek self-reliance in data analysis, allowing them to customize, experiment & implement solutions independently. This control ensures confidentiality, agility, and the ability to adapt analytics to specific needs. With tools, organizations can make data-driven decisions in real time without relying on external expertise, promoting quicker, more efficient & personalized insights. This desire for independence propels the tools segment growth, offering businesses the freedom to harness data analytics according to their unique requirements.
Based on application, the customer analytics segment accounted for 28% of the cognitive analytics market share in 2022. The need to identify customer engagement levels is propelling the customer analytics segment growth. Businesses increasingly recognizing the importance of understanding customer behavior, preferences, and sentiments. Cognitive analytics tools empower organizations to accurately analyze vast datasets, discern patterns & predict customer engagement levels.
For instance, in August 2023, Twilio Segment launched an impactful tool, CustomerAI Predictions, which is crafted to convert customer data into actionable insights. This tool assists marketers in making precise predictions about the behavior of specific customer segments, empowering them to make informed decisions based on these accurate forecasts.
North America cognitive analytics market held over 33% of revenue share in 2022. Increasing investments in AI technology in the U.S. is a key factor propelling the market size. Companies in the U.S. are heavily investing in AI research, development & implementation, leading to the creation of advanced cognitive analytics solutions. These investments fuel innovation, enhance the capabilities of cognitive analytics tools, and drive their adoption across various industries. As a result, the North America market continues to experience significant growth, propelled by ongoing AI technology investments.
Major companies operating in the cognitive analytics industry are:
The cognitive analytics market is dominated by Google Inc., IBM Corporation, Oracle Corporation, and SAS Institute. Major companies are fiercely competing for market shares through continuous technological advancements, product innovation, strategic partnerships, global expansion, and aggressive marketing campaigns.
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Market, By Component
Market, By Deployment
Market, By Enterprise Size
Market, By Application
Market, By End User
The above information has been provided for the following regions and countries: