Global Decision Intelligence Market Size, Share & Industry Trends Analysis Report By Deployment, By Component, By Platform Type (Integrated and Standalone), By Organization Size (Large Enterprises and SMEs), By Vertical, By Regional Outlook and Forecast,

Global Decision Intelligence Market Size, Share & Industry Trends Analysis Report By Deployment, By Component, By Platform Type (Integrated and Standalone), By Organization Size (Large Enterprises and SMEs), By Vertical, By Regional Outlook and Forecast, 2022 - 2028

The Global Decision Intelligence Market size is expected to reach $26 billion by 2028, rising at a market growth of 17.5% CAGR during the forecast period.

Decision Intelligence (DI) is the practical application of AI to every aspect of business decision-making. It is outcome-focused and has to meet business goals. As a result, decision intelligence is being used by businesses to optimize every function and boost productivity. Decision Intelligence allows businesses to leverage data and AI to quickly, accurately, and consistently decide how to proceed with various business demands and issues.

It enables data collection and machine learning modeling to forecast precise results for the best business decision-making. It gives businesses the ability to process and forecast data to make more educated decisions at every level of the organization, gain better visibility into their operations, and produce game-changing business results. Major factors anticipated to propel market revenue growth during the forecast period include the requirement to make quick and precise decisions to assure better outcomes and an increasing need for multiple problem-solving solutions.

Going forward, it is anticipated that a major portion of the market revenue growth for decision intelligence will be driven by the growing need to reduce specific risks related to human decision-making. However, decision intelligence technology can assist in addressing and alleviating poor human decision-making through the processing and analysis of data arrays, the making of intelligent predictions based on historical data, and the more accurate suggestion of the best possible decisions from inputs, that can then be utilized to estimate error-free decisions.

There are numerous strategies to solve organizational issues. Even if one of the parameters is altered, these solutions can be flexible and emphasize more than one result of a certain choice. As a result, numerous solutions are developed, assisting a corporation in achieving its goals. As a result, decision intelligence technology is favored by many businesses because it saves time that would otherwise be wasted on human decisions based on sparse data. The technology also uses a variety of data sources to foresee an intelligent solution, which is anticipated to accelerate market growth throughout the forecast period.

COVID-19 Impact Analysis

While the COVID-19 pandemic has had a negative impact on several industries, it has had a positive impact on the market for decision intelligence. Many companies and organizations had to close their doors to stop the deadly coronavirus from spreading. During this period, many businesses switched to using intelligence software to simply and remotely monitor the workflow and make better judgments. By beginning with a decision and the business problem it is intended to solve, decision intelligence sets itself apart from other analytical methodologies. From there, it looks for relevant data to the decision and problem. These factors have sped up the market's expansion during the crisis.

Market Growth Factors

The emergence of ML and ai is enabling a variety of sectors to fully utilize decision intelligence.

These industries have a pressing demand for precise decision-making. By examining the data gathered from various sources, providers have been able to better comprehend client perceptions due to the development and application of ML and AI. Businesses now prioritize providing a consistent customer experience throughout all channels and delivering offers in real-time by examining consumer purchasing trends. This is predicted to contribute to the market growth during the projection period.

Advances in big data technology for actionable business intelligence

Decision intelligence is a fast-growing area of artificial intelligence and data science. Many tasks connected to decision intelligence-related software, like morphological and syntactic analysis, have been solved and integrated that are utilized on the internet. Large Data analytics and decision intelligence can be combined to create robust systems that can handle big data at enormous scales, do text analysis & opinion mining, and support management and business decision-making.

Market Restraining Factors

Excessive information and reliance on decision-support systems

A decision-maker finds it difficult to ignore unimportant information when it is present, though. It is true that organizations use decision support systems (DSS) to facilitate and accelerate routine choices. Some decision-makers tend to refuse to utilize their own discretion and to depend too heavily on automated decision-making. Undoubtedly, the emphasis has shifted, and because DSS is used so frequently, decision-makers may not be able to advance their abilities. These factors are therefore impeding the expansion of the decision intelligence market.

Component Outlook

Based on component, the decision intelligence market is segmented into platform, solutions, and services. The solution segment garnered a significant revenue share in the decision intelligence market in 2021. Businesses can automate administrative processes, increase productivity, and save costs using decision intelligence technologies. DI may transform a system that tells users which device is most likely to fail into one that guides them in selecting the best course of action for the best possible business results.

Deployment Outlook

Based on deployment, the decision intelligence market is segmented into cloud and on-premises. In 2021, the cloud segment witnessed the largest revenue share in the decision intelligence market. This is because cloud-based AI services are the ideal option for many enterprises. Instead of building a massive data center, companies can use the infrastructure already in place to access enterprises. In reality, one of the reasons AI has become so commonplace is the availability of multiple plug-and-play AI cloud services via cloud providers, in addition, to access to appropriate, pre-trained models to build AI applications. These elements are propelling the cloud segment's expansion in the decision intelligence market.

Organization Size Outlook

Based on organization size, the decision intelligence market is segmented into large enterprises and small & medium enterprises. In 2021, the large enterprise segment generated the maximum revenue share in the decision intelligence market. A growing number of businesses are using artificial intelligence to aid in decision-making. Because AI can process enormous volumes of data employing algorithms and processing power, its advantages increase with decision complexity. These AI technologies are being used by more and more businesses to aid in decision-making.

Vertical Outlook

Based on vertical, the decision intelligence market is segmented into BFSI, retail & eCommerce, government & defense, healthcare & life Sciences, manufacturing, telecom, IT & ITeS, energy & utilities, transportation & logistics, and other verticals. The healthcare segment projected a prominent revenue share in the decision intelligence market in 2021. The healthcare sector is offering more prospects for growth in the decision intelligence industry. As innovative analytics techniques grow more precise and applicable to a wide range of tasks, AI has captured the attention of the healthcare sector.

Regional Outlook

Based on Region, the Decision Intelligence Market is segmented into North America, Europe, Asia Pacific, and LAMEA. In 2021, the North America region led the decision intelligence market by generating the highest revenue share. Due to the widespread deployment of these technologies in developed countries like the US and Canada across numerous industrial sectors, decision intelligence is growing in this region. Due to increased costs associated with the research and development process, the region is likely to grow more quickly throughout the estimated period of time. It is projected that the decision intelligence market will continue to grow due to the industry's rising regional player base. Additionally, it is anticipated that leading vendors will increase their investments in product development and business expansion, supporting the industry.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Oracle Corporation, IBM Corporation, Microsoft Corporation, Intel Corporation, Google LLC (Alphabet Inc.), Domo, Inc., Board International S.A., Provenir, Pyramid Analytics BV, and H2O.ai, Inc.

Strategies Deployed in Decision Intelligence Market

Dec-2022: Oracle Corporation took over Newmetrix, a cloud-based platform that uses artificial intelligence to highlight construction problems focused on project safety. Through this acquisition, Oracle Corporation would be able to able to fasten its abilities in utilizing Machine Learning and AI to construct more predictive behaviors.

Oct-2022: Google LLC partnered with Sisu Data, the decision intelligence company. Under this partnership, Google Cloud would be able to aid more organizations to improve fuel decision-making, analyst efficiency, and drive metric improvement. Moreover, Google Cloud would be able to deliver effortless access to Sisu capabilities inside Google Cloud’s Looker, Data cloud products, and BigQuery.

Oct-2022: Oracle Corporation partnered with NVIDIA Corporation, a global leader in artificial intelligence hard- and software. Under this partnership, both organizations would aid their customers to resolve business hurdles with revved AI and Computing. Moreover, Oracle Corporation would be able to integrate the whole NVIDIA accelerated computing stack from GPUs to systems and further to Oracle Cloud Infrastructure (OCI).

Jan-2022: IBM Corporation took over Envizi, a leading data and analytics software provider for environmental performance management. Through this acquisition, IBM Corporation would be able to build more sustainable and resilient operations and supply chains with the help of IBM Sterling supply chain solutions, IBM Maximo asset management solutions, and IBM Environmental Intelligence Suite.

Nov-2021: Oracle Corporation unveiled the Oracle Cloud Infrastructure (OCI) AI services. These new AI services are the array of services that make it more manageable for developers to apply AI services to their applications without needing data science expertise. Additionally, these services provide developers the option of leveraging out-of-the-box models that have been taught on business-oriented data or custom training the services established on their organization’s data.

Sep-2021: Microsoft Corporation partnered with Truveta, a healthcare data platform collaboration with physicians and life science researchers. Under this Partnership, Microsoft Corporation would be able to provide the strength of Microsoft Azure and AI to aid Truveta to accomplish its idea of saving lives with data. Moreover, this partnership would support Truveta to fasten possibilities for more health providers to become members and contribute their data for understandings for the common good of humanity.

Oct-2019: Domo, Inc., came into partnership with Snowflake, Inc., a cloud computing–based data cloud company based in Bozeman, Montana. Through this partnership, both organizations would be able to influence customers as they drive more data to the cloud to leverage the scalability, security, and flexibility it delivers.

Dec-2018: IBM Corporation came into partnership with IIT Delhi, a public institute of technology located in New Delhi, India. Under this partnership, IBM Corporation would be able to focus on finding Novel AI techniques that would further help the organization make informed decisions by being capable to reason with their AI systems logically.

Scope of the Study

Market Segments covered in the Report:

By Deployment

• Cloud
• On-premise

By Component

• Platform
• Integrated
• Standalone
• Solution
• Services

By Organization Size

• Large Enterprises
• SMEs

By Vertical

• BFSI
• Telecom & IT
• Healthcare
• Retail & Consumer Goods
• Manufacturing
• Government & Defense
• Energy & Utilities
• Transportation & Logistics
• Others

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA

Companies Profiled

• Oracle Corporation
• IBM Corporation
• Microsoft Corporation
• Intel Corporation
• Google LLC (Alphabet Inc.)
• Domo, Inc.
• Board International S.A.
• Provenir
• Pyramid Analytics BV
• H2O.ai, Inc.

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