세계의 의사결정 인텔리전스 시장 규모는 2024년 135억 9,000만 달러에서 예측 기간 중 17.51%의 CAGR로 추이하며, 2032년에는 494억 1,000만 달러 규모로 성장할 것으로 예측됩니다.
의사결정 인텔리전스 시장의 성장은 2023년 출시와 함께 자연 언어 처리의 범위를 재정의한 GPT-4와 같은 고급 생성형 AI 모델과 같은 몇 가지 기술 발전과 비즈니스 요구 사항의 변화가 주요 요인으로 작용하고 있습니다. 컨텐츠 제작 용도과 고객 서비스 기능에서 중요한 발전으로 관찰되고 있습니다. 인간의 반응을 이해하고 유사한 반응을 생성하는 능력은 AI 기반 챗봇과 가상 비서를 통해 사용자 경험을 향상시킬 수 있는 잠재력을 가지고 있습니다. 또한 멀티모달 머신러닝을 갖춘 AI 시스템은 텍스트, 이미지, 음성 등 여러 소스의 데이터를 처리하고 통합하여 문맥과 의사결정 능력을 향상시킬 수 있습니다. 예를 들어 시각 데이터와 음성 데이터를 결합하여 더 나은 물체 인식으로 이어져 가상 비서 및 고객 인사이트와 같은 중요한 용도를 통해 의사결정 인텔리전스 시장을 주도할 수 있습니다. 또한 TinyML은 머신러닝 알고리즘을 디바이스의 엣지에서 로컬로 실행하여 데이터를 로컬에서 처리하므로 대기 시간과 대역폭 사용량을 줄일 수 있으며, 주로 IoT 환경에서 사용자 효율성을 높이고 사용자 프라이버시를 향상시킬 수 있습니다.
Oracle Corporation에 따르면 2023년 74%의 기업이 의사결정의 복잡성 증가로 인해 일상적으로 내리는 의사결정의 수가 지난 3년 동안 10배 증가했다고 응답했습니다. 따라서 의사결정 프로세스를 탐색하기 위한 효과적인 의사결정 인텔리전스 솔루션에 대한 수요가 증가하면서 의사결정 인텔리전스 시장을 더욱 촉진하고 있습니다.
세계의 의사결정 인텔리전스 시장을 조사했으며, 시장의 정의와 개요, 시장 규모 추이·예측, 각종 구분·지역/주요 국가별 상세 분석, 산업 구조, 시장 성장에 대한 영향요인 분석, 사례 연구, 경쟁 구도, 주요 기업의 개요 등을 정리하여 전해드립니다.
Global decision intelligence market is projected to witness a CAGR of 17.51% during the forecast period 2025-2032, growing from USD 13.59 billion in 2024 to USD 49.41 billion in 2032.
The growth in the decision intelligence market is primarily driven by several technological advances and changing business needs, such as advanced generative AI models like GPT-4, which redefined the scope of natural language processing with its release in 2023. They are used to create coherent and contextually relevant text, which has been observed as a critical advancement in content creation applications and customer service functions. Their capacity to comprehend and create similar human responses has the potential to provide enhanced user experience through AI-based chatbots and virtual assistants. Furthermore, AI systems with multi-modal machine learning can process and integrate data from multiple sources, including text, images, and audio, to improve context and decision-making ability. For example, combining visual and audio data leads to better object recognition, which drives the decision intelligence market through important applications like virtual assistants and customer insights. Furthermore, TinyML is running machine learning algorithms locally at the edge of devices, which reduces latency and bandwidth usage as it processes data locally. It has appeared to increase efficiency for the users and even improve user privacy, mainly in the IoT landscape.
According to Oracle Corporation, 74% of businesses in 2023 observed that the number of daily decisions they make has risen tenfold in the past three years with the increasing complexity of decision-making. Hence, the growing need for effective decision-intelligence solutions to help people and businesses navigate their decision-making processes is further propelling the decision intelligence market.
For example, in May 2023, MDS Global Limited launched MDS DecisionAI, an AI-powered marketing decision intelligence platform that assists mobile network operators, mobile virtual network operators, and fixed-line operators in reducing churn and optimizing revenue strategies.
Demand For Data-Driven Decision-Making Promoting Growth in the Decision Intelligence Market
The growing need to make data-driven decisions is a key factor accelerating the decision intelligence market. Businesses, specifically in finance, healthcare, and retail, are gradually leaning on data to shape their strategic decisions. Thus, sophisticated decision intelligence tools with advanced technologies such as AI and machine learning are increasingly needed to analyze large datasets, actionable insights for improved operational efficiency, and new ways to engage customers. Organizations are putting in investments in strong data infrastructures and analytics capabilities to make effective use of data. Moreover, regulatory requirements are now coming with the essence of responsible data governance, compelling companies to use data-centric approaches. Integrating decision intelligence with emerging technologies, such as IoT and edge computing, helps organizations process data in real-time. Therefore, organizations can anticipate market trends and optimize their decision-making processes. Hence, the decision intelligence market is growing rapidly, as data is essential for shaping strategic business outcomes.
For example, in August 2024, Google Cloud LLC announced over 350 new data analytics innovations designed to enhance artificial intelligence use cases. It includes key updates such as Gemini integration in BigQuery, enhancements to Cloud Spanner, and real-time data-sharing capabilities.
Integration Of IoT and Automation Fueling the Decision Intelligence Market
Integrating IoT and automation significantly enhances the decision intelligence market by enabling real-time data collection and analysis. IoT devices generate vast amounts of data, which streamline the decision-making process across various industries when combined with automation. This synergy allows organizations to quickly respond to changing conditions and optimize operations. Businesses can gain insights into customer behavior, operational efficiency, and market trends, facilitating informed decision-making by leveraging IoT data. Automation further enhances this process by reducing manual intervention, minimizing errors, and ensuring consistency in decision outcomes. The demand for decision-intelligence solutions that can analyze and interpret this data in real-time is growing as organizations are increasingly adopting IoT technologies. This trend is particularly evident in manufacturing, logistics, and retail sectors, where timely insights are crucial for maintaining competitive advantage. Consequently, the decision intelligence market is expected to experience substantial growth, driven by the need for integrated solutions that harness the power of IoT and automation to enhance business agility and responsiveness.
For example, in September 2024, ManageEngine, a division of Zoho Corporation, upgraded Analytics Plus to version 6.0, introducing "Spotlight," an AI-driven recommendations engine that enhances decision-making by identifying IT inefficiencies and reducing insight time.
Government Initiatives Fostering Revenue in the Decision Intelligence Market
Government initiatives such as the United States Executive Order on Safe, Secure, and Trustworthy AI, the United Kingdom AI Safety Institute, and the European AI Act are highly contributing to revenue in the decision intelligence market. These initiatives create a conducive environment for the development and adoption of decision intelligence solutions by establishing ethical guidelines and regulatory frameworks. They encourage businesses to invest in AI technologies that comply with safety and ethical standards, thereby driving demand for innovative decision-making tools. Moreover, the focus on transparency and risk mitigation enhances trust in AI systems, leading to increased adoption across sectors such as defense, telecommunications, and healthcare. As organizations seek to align with these regulations, the market for decision intelligence solutions expands, resulting in substantial revenue growth and the emergence of new business opportunities.
For instance, in October 2024, the United States National Security Memorandum on AI reinforced the commitment to leveraging artificial intelligence for national security objectives. It highlights the necessity of responsible AI deployment to enhance decision intelligence while safeguarding civil liberties and promoting democratic integrity.
Banking, Financial Services, and Insurance Leading in Decision Intelligence Market
Banking, Financial Services, and Insurance segment are leading the decision intelligence market with the deployment of advanced analytics and artificial intelligence to enable operational efficiency and customer experience. BFSI firms capture a considerable market share utilizing data-driven insights for risk management, fraud detection, and regulatory compliance. Big data analytics allows these institutions to process vast datasets, giving them valuable insights that inform their strategic decisions. Cloud computing infrastructure also supports scalable and cost-effective data management, which enables real-time analytics. Moreover, personalized services focus on tailoring financial products according to the needs of individual customers, ensuring loyalty and satisfaction. The use of machine learning algorithms for integration enhances predictive capabilities, ensuring proactive decision-making in complex financial environments.
North America Dominates Decision Intelligence Market Share
North America is leading the decision intelligence market owing to the few key contributions from major participants. These contributions include fostering cultures of innovation that emphasize new analytics and data-driven thinking. The region also has a highly skilled workforce for artificial intelligence and machine learning, which enhances the work on sophisticated decision intelligence tools and solution development. Moreover, the application of big data analytics and cloud computing enables organizations to effectively utilize vast amounts of data. This capability ensures real-time insights and agile decision-making, which are quite important in the fast-paced business environment.
Additionally, a supportive regulatory framework encourages investment in technology and innovation, facilitating the growth of decision intelligence applications across various sectors. The emphasis on digital transformation initiatives across industries further drives the adoption of decision intelligence, ensuring that organizations remain competitive and responsive to market changes.
For instance, in September 2024, Crimson Phoenix, LLC secured funding from the United States Army Medical Research and Development Command (USAMRDC) to develop advanced artificial intelligence algorithms, enhancing casualty care documentation in Tactical Combat Casualty Care (TCCC) environments.
Future Market Scenario (2025 - 2032F)
Organizations may increasingly adopt AI-driven autonomous systems that analyze data and make real-time decisions, especially in the finance and logistics sectors, thereby increasing efficiency.
The integration of decision intelligence with IoT data streams could allow the company to make well-informed decisions based on real-time insights from devices, enabling the improvement of predictive maintenance and customer engagement through connected IoT devices.
Growing concerns over data privacy may lead to the creation of ethical guidelines for AI deployment, where companies can demonstrate transparency and accountability to build trust.
The demand for customized decision intelligence platforms in various industries may increase, as companies can tailor algorithms based on specific needs.
Key Players Landscape and Outlook
The key players in the decision intelligence market have a diversified landscape, with established technology firms, innovative startups, and specialized solution providers working on the further development of their products using advanced analytics, machine learning, and artificial intelligence. The outlook for the market is positive due to increased demand for data-driven decision-making across industries. It is expected that decision intelligence will grow in conjunction with emerging technologies such as IoT and big data analytics with digital transformation becoming a priority for businesses. Ethical AI practices are also going to shape the competitive landscape as organizations focus on building trust with their stakeholders. Cross-functional insights through collaborative platforms will help organizations to become agile and innovative.
In November 2024, Board International SA acquired Prevedere Inc., enhancing its Enterprise Planning Platform with exclusive predictive insights and real-time data integration, empowering businesses to make informed decisions amid evolving market conditions.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.