Navigating Sustainable, Profitable Growth in a Rapidly Changing World
Augmented intelligence, also known as cognitive augmentation or intelligence amplification (IA), involves leveraging artificial intelligence to enhance human cognitive abilities, productivity, and decision-making processes. This collaborative approach emphasises the synergy between AI systems and human capabilities to achieve better results and performance. Further, investments in high-speed internet infrastructure and increasing internet accessibility play a crucial role in the augmented intelligence market growth. As of 2021, 63% of people had access to the internet.
Fig: Individuals using the Internet (% of the population), 2021

The escalating competition across industries is driving increased adoption of advanced technologies, including augmented intelligence, to gain a competitive advantage. This trend is fueled by the integration of augmented intelligence with other technologies such as AI, data analytics, and blockchain. A significant trend in the augmented intelligence market is the growing availability of customisable solutions, which cater to diverse user needs by offering real-time insights, data extraction, parallel processing, and enhanced decision-making capabilities. These solutions empower users to make informed, data-driven decisions for optimal outcomes.
Furthermore, advancements in natural language processing (NLP) capabilities are driving the demand for augmented intelligence. NLP enables the breakdown and comprehension of human language, facilitating the understanding of vast volumes of human-generated data and aiding decision-making processes across industries.
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Market Breakup by Component, Deployment Model, Technology, Enterprise Size, End Use, and Region:
- The market is bifurcated based on component into solution and services.
- Based on the deployment model, the market can be divided into on-premises and cloud.
- By technology, the market is segmented into machine learning, natural language processing, and computer vision, among others.
- The market is segmented based on enterprise size into large enterprises and small and medium enterprises.
- By end use, the market is segmented into IT and telecom, retail and e-commerce, BFSI, healthcare, manufacturing, and automotive, among others.
- Region-wise, the global market for augmented intelligence can be divided into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
Key Findings of the Report:
- Augmented intelligence enhances human cognitive abilities, productivity, and decision-making processes through collaborative synergy between AI systems and human capabilities.
- The rapid technological advancements are supporting the market growth trajectory. There is growing integration of augmented intelligence with other technologies such as AI, data analytics, and blockchain.
- The market benefits from rapid digitalisation across various industries and subsequent demand for the technology from sectors like IT and telecom, BFSI, and retail, among others.
Key Offerings of the Report:
- The EMR report gives an overview of the global market for augmented intelligence for the periods (2019-2025) and (2026-2035).
- The report also offers historical (2019-2025) and forecast (2026-2035) market information for the component, deployment model, technology, enterprise size, end use, and major regions of augmented intelligence.
- The report analyses the market dynamics, covering the key demand and price indicators in the market, along with providing an assessment of the SWOT and Porter’s Five Forces models.
Top Players
- Squirro AG
- Amazon Web Services, Inc.
- Microsoft Corporation
- QlikTech International AB
- SAP SE
- Sisense Ltd.
- Oracle Corporation
- Salesforce, Inc.
- Infor
- SAS Institute Inc.
- Other
The comprehensive report by EMR looks into the market share, capacity, and latest developments like mergers and acquisitions, plant turnarounds, and capacity expansions of the major players.
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Report Summary
| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Component |
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| Breakup by Deployment Model |
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| Breakup by Technology |
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| Breakup by Enterprise Size |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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